Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study
Open accessAbstract
Whole-genome sequencing (WGS) brings comprehensive insights to cancer genome interpretation. To explore the clinical value of WGS, we sequenced 254 triple-negative breast cancers (TNBCs) for which associated treatment and outcome data were collected between 2010 and 2015 via the population-based Sweden Cancerome Analysis Network-Breast (SCAN-B) project (ClinicalTrials.gov ID:NCT02306096). Applying the HRDetect mutational-signature-based algorithm to classify tumors, 59% were predicted to have homologous-recombination-repair deficiency (HRDetect-high): 67% explained by germline/somatic mutations of BRCA1/BRCA2, BRCA1 promoter hypermethylation, RAD51C hypermethylation or biallelic loss of PALB2. A novel mechanism of BRCA1 abrogation was discovered via germline SINE-VNTR-Alu retrotransposition. HRDetect provided independent prognostic information, with HRDetect-high patients having better outcome on adjuvant chemotherapy for invasive disease-free survival (hazard ratio (HR) = 0.42; 95% confidence interval (CI) = 0.2-0.87) and distant relapse-free interval (HR = 0.31, CI = 0.13-0.76) compared to HRDetect-low, regardless of whether a genetic/epigenetic cause was identified. HRDetect-intermediate, some possessing potentially targetable biological abnormalities, had the poorest outcomes. HRDetect-low cancers also had inadequate outcomes: ~4.7% were mismatch-repair-deficient (another targetable defect, not typically sought) and they were enriched for (but not restricted to) PIK3CA/AKT1 pathway abnormalities. New treatment options need to be considered for now-discernible HRDetect-intermediate and HRDetect-low categories. This population-based study advocates for WGS of TNBC to better inform trial stratification and improve clinical decision-making.
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- Findingown data
237 (93%) had WGS data of sufficient quality for comprehensive genomic profiling.
“237 (93%) had WGS data of sufficient quality for comprehensive genomic profiling.”
Quote in the paperSubstantial claim - Findingown data
Mobile element analysis found a germline SVA retrotransposon 1.8 kb downstream of the first coding exon of BRCA1 in patient PD35958a.
“identified a germline SINE-VNTR-Alu (SVA) retrotransposon 1.8kb downstream of the first coding exon of BRCA1 in one patient, PD35958a.”
Quote in the paperSubstantial claim - Findingown data
HRDetect-intermediate tumors had the poorest outcomes.
“HRDetect-intermediate, some possessing potentially targetable biological abnormalities, had poorest outcomes.”
Quote in the paperSubstantial claim - Findingown data
About 4.7% of HRDetect-low cancers were mismatch-repair-deficient.
“~4.7% were mismatch-repair-deficient”
Quote in the paperSubstantial claim - Findingown data
In the Skåne region, 4,665 patients were registered with invasive breast cancer during September 1, 2010 to March 31, 2015.
“4665 patients were registered with invasive breast cancer in that period.”
Quote in the paperNot a substantial claim
- Findingown data
WGS failure rate was influenced by sequencing depth: 3% at 30-fold and 11% at 15-fold coverage.
“of cases sequenced to 30-fold depth, 3% failed, whereas 11% of cases failed when sequenced to 15-fold coverage.”
Quote in the paperNot a substantial claim - Findingown data
HRDetect-high patients receiving adjuvant chemotherapy had better distant relapse-free interval than HRDetect-low patients (HR=0.31, 95% CI 0.13-0.76).
“distant relapse-free interval (HR=0.31, CI=0.13-0.76) compared to HRDetect-low”
Quote in the paperSubstantial claim - Findingown data
HRDetect-high patients receiving adjuvant chemotherapy had better invasive disease-free survival than HRDetect-low patients (HR=0.42, 95% CI 0.20-0.87).
“HRDetect-high patients having better outcome on adjuvant chemotherapy for invasive disease-free survival (Hazard Ratio, HR=0.42, 95% confidence interval, CI=0.2-0.87)”
Quote in the paperSubstantial claim - Findingown data
Among HRDetect-high tumors, 67% had an identified genetic or epigenetic cause: germline or somatic BRCA1/BRCA2 mutation, BRCA1 promoter hypermethylation, RAD51C hypermethylation, or biallelic PALB2 loss.
“67% explained by germline/somatic mutations of BRCA1/BRCA2, BRCA1 promoter hypermethylation, RAD51C hypermethylation or biallelic loss of PALB2.”
Quote in the paperSubstantial claim - Findingown data
HRDetect-low cancers were enriched for, but not restricted to, PIK3CA/AKT1 pathway abnormalities.
“was enriched for (but not restricted to) PIK3CA/AKT1 pathway abnormalities.”
Quote in the paperNot a substantial claim - Findingown data
RAD51 and PALB2 pyrosequencing did not reveal positive findings.
“RAD51 and PALB2 pyrosequencing did not reveal positive findings.”
Quote in the paperNot a substantial claim - Findingown data
HRDetect-intermediate cases had different mutational, indel, and rearrangement signature patterns.
“based on mutational, indel and rearrangement signature patterns, cases with HRDetect-intermediate scores had different characteristics”
Quote in the paperNot a substantial claim - Findingown data
Of 139 HRDetect-high cases, 29 (21%) had confirmed biallelic loss of BRCA1 or BRCA2.
“Of 139 HRDetect-high cases, 29 (21%) confirmed biallelic loss of BRCA1 or BRCA2”
Quote in the paperSubstantial claim - Findingown data
Breast cancers with mismatch repair deficiency can also show chromosomal or genomic instability, as observed in cases PD31144a and PD31040a.
“To note, unlike in colorectal cancer, mismatch repair deficient (MMRd) tumors are also able to carry signs of chromosomal or genomic instability as seen in PD31144a (BRCA1 promoter hypermethylated case) and PD31040a.”
Quote in the paperNot a substantial claim - Findingown data
Of 139 HRDetect-high cases, 55 (40%) had BRCA1 hypermethylation with loss of the other parental allele.
“55 (40%) had BRCA1 hypermethylation with loss of the other parental allele”
Quote in the paperNot a substantial claim - Findingown data
Fourteen new pathogenic germline BRCA1/BRCA2 variants were identified in addition to 12 previously known variants.
“Fourteen new pathogenic germline BRCA1/BRCA2 variants were identified, in addition to the 12 hitherto known variants”
Quote in the paperSubstantial claim - Findingown data
During September 1, 2010 to March 31, 2015, 408 patients were diagnosed with TNBC in the Skåne healthcare region based on the Swedish national breast cancer quality registry.
“During September 1 2010 to March 31 2015, 408 patients were diagnosed with TNBC (localized or advanced disease with specified treatment status) in the Skåne healthcare region in southern Sweden, Scandinavia, based on data from the Swedish national breast cancer quality registry (NKBC)”
Quote in the paperSubstantial claim - Findingown data
A single outlier tumor, which also has BRCA1 hypermethylation, shows a genetic phenotype much like a BRCA1-null tumor rather than a BRCA2-null tumor.
“One outlier exists, corresponding to a tumor with concurrent BRCA1 hypermethylation that has a genetic phenotype very similar to a BRCA1-null tumor rather than a BRCA2-null tumor, as shown in panel.”
Quote in the paperNot a substantial claim - Findingcitation
Four HRDetect-low patients (4.7%) had mismatch-repair-deficient tumors.
“We note that four HRDetect-low patients (4.7%) had mismatch-repair deficient (MMRd) tumors23”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Davies, H. et al. Whole-genome sequencing reveals breast cancers with mismatch repair deficiency. Cancer Res. 77, 4755–4762 (2017). source
Not checked in the free run.
- Findingown data
In patients who received standard-of-care adjuvant chemotherapy, HRDetect-high tumors had significantly improved invasive disease-free survival and distant relapse-free interval compared with HRDetect-low tumors (log-rank p=0.009 and p=0.01).
“patients with HRDetect-high tumors significantly improved IDFS and DRFI (log-rank p=0.009 and p=0.01) compared to those with HRDetect-low tumors”
Quote in the paperSubstantial claim - Findingown data
Chemotherapy-treated HRDetect-low patients had similar invasive disease-free survival to patients who did not receive adjuvant chemotherapy, despite being fitter and younger (75% <70 years).
“chemotherapy-treated HRDetect-low patients had a similar IDFS to patients that did not receive adjuvant chemotherapy, in spite of superior fitness and lower age of diagnosis (75% <70 years)”
Quote in the paperSubstantial claim - Findingown data
HRDetect-high and HRDetect-intermediate cases tended to have more driver amplifications, such as MYC and MCL1, than HRDetect-low cases.
“HRDetect-high and HRDetect-intermediate cases tended towards more driver amplifications (e.g. MYC and MCL1) than HRDetect-low”
Quote in the paperNot a substantial claim - Findingown data
Of reviewed cases, 153 (60%) were eligible for overall survival and invasive disease-free survival analysis after standard-of-care adjuvant chemotherapy.
“Of reviewed cases, 153 (60%) patients were eligible for OS/IDFS survival analysis after standard of care adjuvant chemotherapy”
Quote in the paperSubstantial claim - Findingcitation
No dominantly inherited 5' UTR variant causing methylation-associated BRCA1 silencing was found.
“There were no instances of a dominantly inherited 5’ UTR variant causing methylation-associated BRCA1 silencing17.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Evans, D. G. R. et al. A dominantly inherited 5′ UTR variant causing methylation-associated silencing of BRCA1 as a cause of breast and ovarian cancer. Am. J. Hum. Genet. 103, 213–220 (2018). source
Not checked in the free run.
- Findingown data
The broadened intermediate group showed poorer invasive disease-free survival regardless of whether patients received adjuvant chemotherapy.
“the broadened intermediate group showed poorer IDFS regardless of whether the patients received adjuvant chemotherapy or not”
Quote in the paperSubstantial claim - Findingnone given
The specific SVA mobile element was not reported in the 1000 Genomes dataset.
“This specific mobile element has not been reported in the 1000 genomes dataset.”
Quote in the paperSubstantial claim - Findingown data
One mismatch-repair-deficient case occurred in association with HRD.
“One occurred in association with HRD.”
Quote in the paperNot a substantial claim - Findingown data
Excluding known BRCA1/BRCA2 cases, HRDetect-high classification remained significantly associated with improved invasive disease-free survival (log-rank p=0.008; multivariable Cox HR=0.41, 95% CI 0.19-0.91, p=0.03).
“survival analysis excluding known BRCA1/BRCA2 cases showed that HRDetect-high classification remained significantly associated with improved IDFS in remaining patients (log-rank p=0.008, multivariable Cox regression HR=0.41, CI=0.19-0.91, p=0.03).”
Quote in the paperSubstantial claim - Findingown data
The genomic features of SCAN-B TNBC cases resemble those of TNBCs previously analysed by WGS.
“Similar genomic characteristics of SCAN-B TNBC cases compared to previously reported WGS analysed TNBCs”
Quote in the paperNot a substantial claim - Findingown data
CCNE1 was the most enriched amplification, constituting 25% of all amplifications in the broadened intermediate group.
“CCNE1 was the most enriched amplification constituting 25% of all amplifications in this new intermediate group.”
Quote in the paperSubstantial claim - Findingown data
Within HRDetect-high tumors, outcomes (overall survival, invasive disease-free survival, distant relapse-free interval) did not differ between cases with confirmed BRCA1/BRCA2 loss and cases without confirmed genetic or epigenetic abrogation (log-rank p=0.79, 0.51, 0.67).
“within the HRDetect-high group, we observed no difference in patient outcomes (OS, IDFS, DRFI) between cases with confirmed BRCA1/BRCA2 loss and cases where it was not possible to confirm genetic/epigenetic abrogation of these genes (log-rank p=0.79, 0.51, 0.67”
Quote in the paperSubstantial claim - Findingnone given
Causes for HRDetect-high scores in the remaining 46 (33%) samples were unclear.
“Causes for HRDetect-high scores in the remaining 46 (33%) samples were unclear.”
Quote in the paperNot a substantial claim - Findingown data
CD8/CD3/CD4 and CD247 infiltration was not differentially expressed between HRDetect groups (Kruskal-Wallis p>0.05).
“None was differentially expressed between HRDetect groups (Kruskal-Wallis p>0.05, Extended Data 4H).”
Quote in the paperSubstantial claim - Findingown data
Independent immunohistochemistry confirmed tumor-cell-specific loss of MLH1 and PMS2 expression in all mismatch-repair-deficient cases.
“independent analyses by protein immunohistochemistry (IHC) confirmed tumor-cell-specific loss of MLH1 and PMS2 expression in all cases”
Quote in the paperSubstantial claim - Findingown data
Five RAD51C hypermethylation cases were observed with marked downregulation of RAD51C mRNA expression (Wilcoxon p=0.0001).
“Five RAD51C hypermethylation cases were also observed with concomitant marked downregulation of RAD51C mRNA expression (Wilcoxon-test p=0.0001).”
Quote in the paperSubstantial claim - Interpretationown data
The approximately 3% failure rate provides a true estimate of 30-fold WGS success in a clinical context without preselection for tumor cellularity.
“Failure rates of ~3% thus provide true estimates of 30-fold WGS success in a clinical context, without preselection for tumor cellularity.”
Quote in the paperSubstantial claim - Interpretationown data
The prognostic association of HRDetect with outcome was independent of whether a genetic or epigenetic cause was identified.
“regardless of whether a genetic/epigenetic cause was identified.”
Quote in the paperSubstantial claim - Study design and conductcitation
SCAN-B fresh-tissue procurement is fully integrated into routine clinical diagnostics across participating healthcare institutions.
“SCAN-B fresh-tissue procurement is fully-integrated into routine clinical diagnostics across participating healthcare institutions5.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [5] Saal, L. H. et al. The Sweden Cancerome Analysis Network-Breast (SCAN-B) initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine. Genome Med. 7, 20 (2015). source
Not checked in the free run.
- Interpretationreasoning
Outcomes from research on SCAN-B patients reflect real-world population medicine.
“Outcomes from research on SCAN-B patients thus reflect real-world population medicine”
Quote in the paperSubstantial claim - Interpretationown data
15-fold coverage for clinical WGS is unlikely to be adequate.
“15-fold coverage for clinical WGS is unlikely to be adequate.”
Quote in the paperSubstantial claim - Interpretationown data
The SVA insertion may represent a novel mechanism of germline BRCA1 abrogation.
“Thus, this observation may indicate a potential novel mechanism of germline BRCA1 abrogation.”
Quote in the paperSubstantial claim- Rests on an assumption: The 1000 Genomes dataset is a sufficient reference for judging whether the SVA insertion is novel.
- Interpretationown data
The mutational signature-based approach can predict potential clinical benefit from adjuvant chemotherapy even without confirmation of genetic or epigenetic aetiology.
“This strengthens the argument that even in the absence of confirmation of the genetic/epigenetic aetiology, the mutational signature-based approach is capable of predicting potential clinical benefit for adjuvant chemotherapy.”
Quote in the paperSubstantial claim - Interpretationown data
HRDetect captures distinctive, pathognomonic phenotypes of TNBC that are not apparent at bulk tissue transcriptional level.
“Together this implies that the mutational-signature-based algorithm HRDetect captures distinctive, pathognomonic phenotypes of TNBC that are not apparent at bulk tissue transcriptional level.”
Quote in the paperSubstantial claim - Study design and conductown data
HRDetect classification was verified for known BRCA1/BRCA2-deficient cases versus tumor cellularity by WGS or pathology estimation for both 30-fold and 15-fold sequencing depth to demonstrate no systematic bias from sequencing coverage or tumor cellularity.
“HRDetect classification was verified for known BRCA1/BRCA2-deficient cases versus tumor cellularity by WGS or pathology estimation for both 30-fold and 15-fold sequencing depth (Extended Data 7) to demonstrate that there was no systematic bias as a result of sequencing coverage or tumor cellularity.”
Quote in the paperSubstantial claim - Interpretationcitation
The BRCA2-like profiles of PALB2 and RAD51C cases may be explained by their molecular relationships in a complex that stimulates RAD51 strand invasion.
“PALB2, RAD51C and BRCA2 are involved in a complex that stimulates strand invasion of the RAD51 nucleoprotein filament18,19, a critical step in HR-related repair. Thus, their BRCA2-like profiles may be explained by these molecular relationships.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [18] Park, J. Y. et al. Breast cancer-associated missense mutants of the PALB2 WD40 domain, which directly binds RAD51C, RAD51 and BRCA2, disrupt DNA repair. Oncogene 33, 4803–4812 (2014). source
Not checked in the free run.
- cites [19] Park, J. Y., Zhang, F. & Andreassen, P. R. PALB2: the hub of a network of tumor suppressors involved in DNA damage responses. Biochim. Biophys. Acta 1846, 263–275 (2014).
Not checked in the free run.
- Interpretationreasoning
Limited sequencing assays will not identify the HRDetect-intermediate category.
“These limited assays will also not identify the HRDetect-intermediate category”
Quote in the paperSubstantial claim - Interpretationown data
This population-based study demonstrates what WGS can reveal in TNBC in a routine diagnostic setting.
“This population-based study of TNBC in a routine diagnostic setting demonstrates what can be revealed by WGS.”
Quote in the paperSubstantial claim - Interpretationown data
TNBC patients with HRDetect-high scores have a higher degree of chemosensitivity than HRDetect-low cases.
“This suggests that TNBC patients with HRDetect-high scores have a higher degree of chemosensitivity than HRDetect-low cases and are worth identifying.”
Quote in the paperSubstantial claim - Interpretationown data
The HRDetect-low category has many more patients than would be detected by binary PIK3CA/AKT1/PTEN targeted assays alone.
“The HRDetect low category has many more patients than would be detected by binary PIK3CA/AKT1/PTEN targeted assays alone.”
Quote in the paperSubstantial claim - Interpretationown data
In breast cancer, the mutational processes behind mismatch repair deficiency and chromosomal/genomic instability can coexist.
“Thus the mutational processes driving these two features are not mutually exclusive in breast cancer.”
Quote in the paperSubstantial claim - Interpretationreasoning
Limited sequencing assays will miss a substantial proportion of tumors with HRD signatures that lack genetic or epigenetic drivers but are predicted to have good outcomes.
“limited sequencing assays will miss the substantial proportion of tumors with HRD signatures that do not have genetic/epigenetic drivers but are predicted to have good outcomes.”
Quote in the paperSubstantial claim - Interpretationreasoning
Mis-stratifying patients based on single mutations may affect clinical trial success.
“as mis-stratifying patients based on single mutations may affect clinical trial success.”
Quote in the paperSubstantial claim - Interpretationown data
PIK3CA/AKT1/PTEN pathway dysregulation is not restricted to a particular HRDetect group.
“Thus, PIK3CA/AKT1/PTEN pathway dysregulation is not restricted to a particular HRDetect group.”
Quote in the paperSubstantial claim - Interpretationreasoning
The findings expand the number of TNBC patients eligible for treatment strategies targeting DNA repair mechanisms such as PARP inhibitors.
“Critically, it expands the number of TNBC patients eligible for treatment strategies targeting DNA repair mechanisms such as PARP inhibitors22,27.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [22] Sharma, P. Biology and management of patients with triple-negative breast cancer. Oncologist 21, 1050–1062 (2016). source
Not checked in the free run.
- cites [27] Popova, T. et al. Ovarian cancers harboring inactivating mutations in CDK12 Display a distinct genomic instability pattern characterized by large tandem duplications. Cancer Res. 76, 1882–1891 (2016). source
Not checked in the free run.
- Interpretationown data
Patients may be mis-classified based on individual mutations.
“First, patients may be mis-classified based on individual mutations.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 13
- May combine two claims. 40
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataNine percent (n=408) of those invasive breast cancers were TNBC, consistent with national TNBC incidence of about 9% in 2015.
“Nine percent (n=408) were TNBCs, consistent with national TNBC incidence (~9% in 2015).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSCAN-B had inclusion rates of about 85% and had recruited more than 13,500 patients since 2010.
“High inclusion rates of ~85% have resulted in >13,500 patients recruited since 2010.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingcitationGenomic features in the SCAN-B TNBC cohort were comparable to a previously reported WGS cohort.
“These genomic features in the SCAN-B TNBC cohort were comparable to a previously reported WGS cohort8”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Nik-Zainal, S. et al. Landscape of somatic mutations in 560 breast cancer whole-genome sequences. Nature 534, 47–54 (2016). source
Not checked in the free run.
May combine two claims.
Findingown dataHRDetect classified 58.6% of the TNBCs as HRDetect-high, 35.9% as HRDetect-low, and 5.5% as intermediate.
“More than half of TNBCs (58.6%) were classified as HRDetect-high (exceeding predefined score of 0.7, predictive of BRCA1/BRCA2-deficiency9). 35.9% were classified as HRDetect-low (score <0.2), 5.5% fell within an HRD-intermediate category (score 0.2-0.7)”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Davies, H. et al. HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures. Nat. Med. 23, 517–525 (2017). source
Not checked in the free run.
May combine two claims.
Findingown dataHRDetect-high scores were also observed in tumors with 1-10% ER staining, in middle-aged and older patients, and in non-basal-like expression profiles.
“However, HRDetect-high scores were also observed in tumors with ER-staining (62.1% of cases with 1-10% ER-staining intensity), in middle-aged patients (58% of HRDetect-high were 50-70 years) and older patients (>70 years, 36.4% HRDetect-high cases), as well as tumors with non-basal-like gene expression profiles”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataAmong the 254 patients, 2.4% had metastatic disease at diagnosis and 6.7% received neoadjuvant treatment.
“Among 254 patients, 2.4% had metastatic disease at diagnosis, and 6.7% received neoadjuvant treatment.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataHRDetect-high classification was enriched in young patients, high-grade tumors, and basal-like expression subtypes.
“HRDetect-high classification was enriched in expected subgroups such as young patients (88.5% of women <50 years), high-grade tumors and a basal-like expression subtype”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data340 TNBC patients enrolled in SCAN-B, and 254 had material for matched tumor-normal WGS/RNAseq analysis.
“340 had enrolled into SCAN-B. Clinical re-review and availability of material for genomic/transcriptomic sequencing left 254 cases for matched tumor-normal WGS/RNAseq analysis”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor overall survival, the adjusted hazard ratio was 0.46 (95% CI 0.19-1.13) and non-significant, implying a potential effect with longer follow-up.
“Although not significant for OS (HR=0.46, CI=0.19-1.13), it implies a potential effect with longer follow-up time”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown data49 of 254 recruited patients had prior routine oncogenetic screening for pathogenic germline BRCA1/BRCA2 variants, with 12 positive findings (nine BRCA1 and three BRCA2 carriers).
“As part of routine oncogenetic clinical screening, 49 of 254 recruited patients were previously screened for pathogenic germline variants in BRCA1 and BRCA2, with 12 positive findings (nine BRCA1- and three BRCA2-carriers).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
FindingreasoningSmaller tumors are slightly less common in the RNA-sequenced cohort.
“To note, the RNA sequencing cohort has a slightly lower inclusion of smaller tumors, due to that the SCAN-B tissue sampling is performed by a pathologist after enough tissue has been secured for routine diagnostics.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataFive tumors had pathogenic germline PALB2 variants, and four showed wild-type allele inactivation by somatic mutation or loss of heterozygosity.
“Five tumors had pathogenic germline PALB2 variants, three cases with c.509_510delGA variant (two biallelic, one monoallelic), one c.3239_3240delAA variant, one c.1039G>T variant. Four had wild-type allele inactivation through somatic pathogenic mutation in three cases and loss-of-heterozygosity in one instance.”
Quote in the paperSubstantial claimMay combine two claims.
Findingcitation340 of the 408 patients enrolled in SCAN-B, and 254 with concurrent RNAseq were selected for extensive clinical review and WGS.
“340 of these patients were enrolled in the SCAN-B study5,33,34 (ClinicalTrials.gov ID NCT02306096), which is a prospective, observational, population-based cohort study, from which 254 with concurrent RNAseq were selected for extensive clinical review and WGS.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [5] Saal, L. H. et al. The Sweden Cancerome Analysis Network-Breast (SCAN-B) initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine. Genome Med. 7, 20 (2015). source
Not checked in the free run.
- cites [33] Brueffer, C. et al. Clinical value of RNA sequencing-based classifiers for prediction of the five conventional breast cancer biomarkers: a report from the population-based multicenter Sweden Cancerome Analysis Network–Breast initiative. JCO Prec. Oncol. 2, 1–18 (2018). source
Not checked in the free run.
- cites [34] Chen, X. et al. TNBCtype: a subtyping tool for triple-negative breast cancer. Cancer Inf. 11, 147–156 (2012).
Not checked in the free run.
May combine two claims.
Findingown dataIn the adjuvant chemotherapy group, overall survival was improved in HRDetect-high versus HRDetect-low patients but was non-significant (log-rank p=0.06).
“An improved OS was also observed (log-rank p=0.06, Figure 4C), albeit non-significant because of limited follow-up interval.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn the SVA case, wild-type allele loss of heterozygosity was noted and BRCA1 expression was markedly reduced.
“Moreover, wild-type allele LOH was noted and BRCA1 expression was markedly reduced.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataWith a two-cluster consensus solution, over 70% of HRDetect-high tumors fall in cluster 1, and 40-70% of HRDetect-low samples also fall there.
“E.g., for HRDetect-high cases (left heatmap) using a k=2 solution, >70% of these tumors are located in cluster 1, together with 40-70% of HRDetect-low samples (as seen in right heatmap).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPTEN driver mutations and activating PIK3CA and AKT1 mutations were differently enriched between HRDetect-high and HRDetect-low groups: PTEN 29% vs 14%, PIK3CA 2.2% vs 25%, and AKT1 0.7% vs 7.1%.
“(29% versus 14% for PTEN, 2.2% versus 25% for PIK3CA, and 0.7% versus 7.1% for AKT1 for HRDetect-high versus HRDetect-low, respectively).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn multivariable Cox regression adjusting for tumor size, age, grade, and lymph node status, HRDetect classification among chemotherapy-treated patients was independently prognostic for invasive disease-free survival (HR=0.42, 95% CI 0.20-0.87) and distant relapse-free interval (HR=0.31, 95% CI 0.13-0.76).
“We found that HRDetect classification amongst chemotherapy-treated patients provided independent prognostic information favouring a better outcome in HRDetect-high cases compared to HRDetect-low cases, for IDFS (Hazard ratio, HR=0.42, 95% confidence interval, CI=0.20-0.87) and DRFI (HR=0.31, CI=0.13-0.76).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn TNBC patients who did not receive adjuvant treatment, there were no differences in overall survival, invasive disease-free survival, or distant relapse-free interval between HRDetect-high and HRDetect-low categories (log-rank p>0.05).
“For these patients, there were no differences observed in overall survival (OS), invasive disease-free survival (IDFS), or distant relapse-free interval (DRFI) between HRDetect-high and HRDetect-low categories (log-rank p>0.05).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe HRDetect-intermediate cohort with scores 0.2-0.7 comprised 13 cases (5.5%).
“we explored the HRDetect-intermediate cohort (scores 0.2-0.7, n=13, 5.5%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataIn the SCAN-B catchment area between 1 September 2010 and 31 March 2015, there were 8587 primary resectable breast cancers; 5417 of these enrolled in SCAN-B, and 3520 had RNA sequencing data that passed basic quality criteria.
“Based on data from the national breast cancer quality registry in Sweden (NKBC), a background population of primary resectable breast cancers from the entire SCAN-B catchment region during September 1 2010 to March 31 2015 was identified (same time period from which the TNBC cases in the current study were selected), comprising of 8587 patients.”
- Also stated in: § Extended Data · plain
“Of these 8587 patients, 5417 were enrolled in SCAN-B, with 3520 patients having RNA sequencing data passing basic quality criteria.”
Quote in the paperNot a substantial claim- Also stated in: § Extended Data · plain
May combine two claims.
FindingcitationThe four biallelic PALB2 and five RAD51C cases (6.5% of HRDetect-high) showed a BRCA2-null phenotype with elevated Signature 3, elevated Rearrangement Signatures 2 and 5, and no Rearrangement Signature 3.
“the four biallelic PALB2 and five RAD51C cases (6.5% of HRDetect-high cases) consistently showed a BRCA2-null phenotype16 including elevated Substitution Signature 3, elevated Rearrangement Signatures 2 and 5, and no Rearrangement Signature 3”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Polak, P. et al. A mutational signature reveals alterations underlying deficient homologous recombination repair in breast cancer. Nat. Genet. 49, 1476–1486 (2017). source
Not checked in the free run.
May combine two claims.
FindingcitationThe broadened intermediate category was enriched for hypermutators of rearrangement signature RS1, with RS1 predominant and exceeding 100 RS1 rearrangements.
“The intermediate category is also enriched for hypermutators of a rearrangement signature of long tandem-duplications (RS1) (where RS1 is predominant, exceeding 100 RS1 rearrangements)26.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [26] Glodzik, D. et al. A somatic-mutational process recurrently duplicates germline susceptibility loci and tissue-specific super-enhancers in breast cancers. Nat. Genet. 49, 341–348 (2017). source
Not checked in the free run.
May combine two claims.
Findingown data148 of 153 patients (97%) were eligible for relapse analysis, and 20% developed a relapse of some type.
“148 of 153 patients (97%) were eligible for relapse analysis, of which 20% developed a relapse of some type”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe broadened HRDetect-intermediate group (scores 0.1-0.9, n=32) had a high prevalence of driver amplifications (75%, 24/32) and harbored 47% of all CCNE1 amplifications.
“The broadened HRDetect-intermediate group had high prevalence of driver amplifications (75%, 24/32 cases) and harbored 47% of all CCNE1 amplifications.”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationWhen compared with HRDetect as reference, the CNA-based HRD assay had a 13% false negative rate and 16% false positive rate.
“When compared with HRDetect as reference, the “HRD assay” has a false negative rate of 13%, and 16% of CNA-based HRD-high cases were false positives.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [10] Paquet, E. R. & Hallett, M. T. Absolute assignment of breast cancer intrinsic molecular subtype. J. Natl Cancer Inst. 107, 357 (2014).
Not checked in the free run.
May combine two claims.
Findingown dataNeither unsupervised consensus clustering nor machine-learning supervised classification found distinct transcriptional patterns distinguishing HRDetect-high and HRDetect-low groups.
“Neither was able to find distinct transcriptional patterns distinguishing HRDetect-high and HRDetect-low groups (Extended Data 4A-E). Likewise, exhaustive machine-learning-based exploration could also not achieve high prediction accuracy for HRDetect-high and HRDetect-low subgroups”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataAdding BRCA1/BRCA2 abrogated status as a covariate, HRDetect classification persisted as an independent positive prognostic indicator for invasive disease-free survival (HR=0.38, 95% CI 0.17-0.85, p=0.02).
“HRDetect classification persisted as a meaningful independent positive prognostic indicator for IDFS (HR=0.38, CI=0.17-0.85, p=0.02).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data83.5% of HRDetect-high tumors had scores exceeding 0.99, and nearly all were BRCA1/BRCA2-null.
“We noted that 83.5% of HRDetect-high tumors had scores exceeding 0.99, and nearly all were BRCA1/BRCA2-null tumors.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataEight substitution/indel driver genes were enriched but non-discriminatory between HRDetect groups: TP53, PTEN, ARID1B, and MLLT4 for HRDetect-high; PIK3CA and AKT1 for HRDetect-low; and RB1 and FBXW7 for HRDetect-high and HRDetect-intermediate.
“Eight substitution/indel driver genes were enriched, albeit non-discriminatory between groups (TP53, PTEN, ARID1B, MLLT4 for HRDetect-high, PIK3CA and AKT1 for HRDetect-low, and RB1 and FBXW7 for HRDetect-high and HRDetect-intermediate) (Chi-square test p<0.05”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataAmong the 153 eligible patients, 41% had at least 5 years of follow-up, 25% had 4-5 years, 31% had 2-4 years, and 4% had less than 2 years.
“41% had ≥5 years of follow-up, 25% 4-5 years, 31% 2-4 years, and 4% <2 years of follow-up.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataSix of the unexplained HRDetect-high cases were monoallelic for BRCA1/BRCA2 and had low tumor cellularity.
“Six were monoallelic for BRCA1/BRCA2 and had low tumor cellularity.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenAll patients with suspected breast cancer were offered recruitment into SCAN-B without exception.
“All patients with suspected breast cancer are offered recruitment without exception.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationSCAN-B is an ongoing population-based observational study involving nine hospitals in southern Sweden, serving nearly two million inhabitants, about 20% of the Swedish population.
“The Sweden Cancerome Analysis Network – Breast (SCAN-B; ClinicalTrials.gov identifier NCT02306096)5 is an on-going population-based observational study currently involving nine hospitals in the South of Sweden serving nearly two million inhabitants or ~20% of the Swedish population.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [5] Saal, L. H. et al. The Sweden Cancerome Analysis Network-Breast (SCAN-B) initiative: a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine. Genome Med. 7, 20 (2015). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCancer whole-genome sequencing is feasible, and thousands of matched tumor-normal pairs have been sequenced, revealing novel biological insights.
“Cancer whole genome sequencing (WGS) is now feasible, with thousands of matched tumor-normal pairs successfully sequenced to date, revealing novel biological insights2–4.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [2] Nik-Zainal, S. et al. Mutational processes molding the genomes of 21 breast cancers. Cell 149, 979–993 (2012). source
Not checked in the free run.
- cites [3] Nik-Zainal, S. et al. The life history of 21 breast cancers. Cell 149, 994–1007 (2012). source
Not checked in the free run.
- cites [4] Ryden, L. et al. Minimizing inequality in access to precision medicine in breast cancer by real-time population-based molecular analysis in the SCAN-B initiative. Br. J. Surg. 105, e158–e168 (2018). source
Not checked in the free run.
May combine two claims.
Interpretationown dataThe HRD phenotype identified by HRDetect is enriched for but not restricted to typical basal-like tumors of young TNBC patients.
“Consequently, the HRD phenotype identified by HRDetect is enriched for but not restricted to typical basal-like tumors characteristic of young patients in TNBC.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationHRDetect is a mutational-signature-based algorithm designed to detect BRCAness or homologous-recombination-repair deficiency, using default breast-cancer-specific parameters.
“we applied a mutational-signature-based algorithm, HRDetect9 designed to detect “BRCA”ness or Homologous-recombination-repair deficiency (HRD)10, using default breast-cancer-specific parameters.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Davies, H. et al. HRDetect is a predictor of BRCA1 and BRCA2 deficiency based on mutational signatures. Nat. Med. 23, 517–525 (2017). source
Not checked in the free run.
- cites [10] Paquet, E. R. & Hallett, M. T. Absolute assignment of breast cancer intrinsic molecular subtype. J. Natl Cancer Inst. 107, 357 (2014).
Not checked in the free run.
May combine two claims.
InterpretationreasoningExpression-based profiling and Integrative Clusters cannot adequately discriminate HRDetect groups, suggesting HRDetect provides a novel independent angle to TNBC stratification.
“expression-based profiling (e.g., PAM50) and Integrative Clusters13,15 are not adequately able to discriminate HRDetect groups, suggesting that HRDetect provides a novel, independent angle to TNBC stratification.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [13] Lehmann, B. D. et al. Identification of human triple-negative breast cancer subtypes and preclinical models for selection of targeted therapies. J. Clin. Invest. 121, 2750–2767 (2011). source
Not checked in the free run.
- cites [15] Telli, M. L. et al. Homologous recombination deficiency (HRD) score predicts response to platinum-containing neoadjuvant chemotherapy in patients with triple-negative breast cancer. Clin. Cancer Res. 22, 3764–3773 (2016). source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe SCAN-B study was approved by the Regional Ethical Review Board in Lund, Sweden, and all patients provided written informed consent before enrolment.
“The SCAN-B study was approved by the Regional Ethical Review Board in Lund, Sweden (applicable registration numbers 2009/658, 2015/277, 2016/742, 2018/267, and 2019/01252 for this study). All patients provided written informed consent prior to enrolment.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataPIK3CA/AKT1/PTEN mutations identified through targeted sequencing are differentially enriched in HRDetect categories, with different survival likelihoods.
“we show that PIK3CA/AKT1/PTEN mutations identified through targeted sequencing are differentially enriched in HRDetect categories, with different survival likelihoods.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningThis study argues for WGS to improve TNBC patient stratification.
“In short, this study argues for WGS to improve TNBC patient stratification.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe HRDetect-intermediate group is difficult to distinguish using customary genomic scar approaches or individual substitution signatures but is important to recognize because its biology predicts poor outcome and may be differently targetable.
“the HRDetect-intermediate group is a subset of tumors that are difficult to distinguish using customary genomic scar approaches or individual substitution signatures but are important to recognize because their idiosyncratic tumor biology is a harbinger of poor outcome and may be differently targetable in terms of therapeutics.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataHRDetect-low cases derive limited benefit from current standard-of-care, warranting re-appraisal of systemic therapies for this subgroup.
“this suggests that HRDetect-low cases are deriving limited benefit from current standard-of-care, warranting a re-appraisal of systemic therapies for this now-identifiable subgroup with poor outcome.”
Quote in the paperSubstantial claim- Rests on an assumption: Chemotherapy-treated and untreated HRDetect-low patients are comparable enough for their invasive disease-free survival to be compared.
May combine two claims.
Study design and conductreasoningPAM50 molecular subtypes and given treatments show year-by-year representativeness for the RNA-sequenced patients.
“Demonstration of the year to year representativity of molecular subtypes in breast cancer (PAM50, top panel) and administered treatments based on data from the NKBC (lower panel) for patients identified in D.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe AIMS PAM50 method classifies each sample independently and does not require cohort-wide mean centering of expression data, so it should not be affected by potential year-to-year inclusion bias.
“PAM50 subtyping was performed using the AIMS method (Paquet et al.) (as for the TNBC cases in the current study) as this classifier is a single sample classifier that does not rely on a mean centering of gene expression data across a cohort (thus is not sensitive to e.g. potential bias in year to year inclusion).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Paquet et al.
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe final RNA-sequenced cohort reflects the broader group of enrolled SCAN-B patients and the entire catchment-area patient population.
“The lower panels demonstrate the clinicopathological characteristics of the different subgroups in the consort diagram, demonstrating the representativity of the end RNA sequencing cohort compared to all enrolled SCAN-B patients and the total patient population in the catchment region.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataHRDetect is more specific than current substitution signature and CNA approaches and extends HRD identification to a wider set of samples.
“HRDetect is therefore more specific than current substitution signature and CNA approaches, while extending identification of HRD to a wider set of samples”
Quote in the paperSubstantial claim
The paper relies on this without support.
The 1000 Genomes dataset is a sufficient reference for judging whether the SVA insertion is novel.
“This specific mobile element has not been reported in the 1000 genomes dataset.”
The paper relies on this without support.
Chemotherapy-treated and untreated HRDetect-low patients are comparable enough for their invasive disease-free survival to be compared.
“chemotherapy-treated HRDetect-low patients had a similar IDFS to patients that did not receive adjuvant chemotherapy, in spite of superior fitness and lower age of diagnosis (75% <70 years)”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
We cannot formally exclude that these observations originate from differences in cohort inclusion criteria that could skew numbers.
“However, we cannot formally exclude that these observations originate from differences in cohort inclusion criteria that could skew numbers (e.g. due to more recruitment of patients with triple negative breast cancer which has higher HRD rates12).”
From Pan-cancer landscape of homologous recombination deficiency. (2020) · cites this paper as [12]
The Introduction (page not provided) reports that the HRD phenotype is enriched in basal-like tumors within the triple-negative breast cancer cohort. It does not compare HRD rates in triple-negative versus other breast cancers, so it does not establish the cited parenthetical's claim of higher rates. The possibility that cohort inclusion criteria skewed the citing study's numbers is the citing authors' own caveat, not a finding attributed to this source. (LLM, conf=0.78)
Experimental — accuracy not yet measuredRAD51C and PALB2 inactivation result in BRCA2-type HRD.
“with RAD51C and PALB2 inactivation resulting in BRCA2-type HRD.”
From Pan-cancer landscape of homologous recombination deficiency. (2020) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Sequencing-depth failure rates imply too few failures
MajorOf 254 sequenced cases, 237 passed quality control, implying 17 failures. Applying the stated failure rates to 170 cases at 30-fold depth and 84 at 15-fold depth gives approximately 5 and 9 failures, respectively-14 in total, even allowing for rounding.
“237 (93%) had WGS data of sufficient quality for comprehensive genomic profiling. Failure rate was influenced by sequencing depth: of cases sequenced to 30-fold depth, 3% failed, whereas 11% of cases failed when sequenced to 15-fold coverage.”
“254 cases for matched tumor-normal WGS/RNAseq analysis (170 at 30-fold and 84 at 15-fold sequence depth)”
Overlapping causes leave more than 46 high-scoring cases unexplained
MinorThe reported causes cover 29 BRCA1/BRCA2 cases, 55 BRCA1-hypermethylated cases, four biallelic PALB2 cases, and five RAD51C cases. Because one case belongs to both of the first two groups, these counts cover at most 92 distinct patients, leaving at least 47 of the 139-not 46-without a stated cause.
“Of 139 HRDetect-high cases, 29 (21%) confirmed biallelic loss of BRCA1 or BRCA2 (i.e., 20 germline and 9 somatic with LOH of the wild-type parental allele) and 55 (40%) had BRCA1 hypermethylation with loss of the other parental allele (Figure 2A, note one case with concurrent BRCA2 biallelic alteration and BRCA1 hypermethylation).”
“Causes for HRDetect-high scores in the remaining 46 (33%) samples were unclear.”
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Self-citation
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“RAD51C and PALB2 deficient patients shared the BRCA2type HRD phenotype (absence of duplications) with BRCA2 deficient patients (clusters 1-3; Figure 3c), consistent with previous studies[11, 12].”
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Self-citationMutational signatures: emerging concepts, caveats and clinical applications
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Self-citationSubstitution mutational signatures in whole-genome–sequenced cancers in the UK population
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Self-citationTriple-negative breast cancer therapeutic resistance: Where is the Achilles' heel?
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Self-citationGenomic and evolutionary classification of lung cancer in never smokers
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Clinical cancer genomic profiling
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Olaparib monotherapy as primary treatment in unselected triple negative breast cancer
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Breast Cancer: A Molecularly Heterogenous Disease Needing Subtype-Specific Treatments
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“, PALB2, ATM, CHEK2) [48, 49], characterized by high scores using the copy number based HRD algorithm [50, 51] or the genomic-signature based HRDetect [32, 52, 53].”
BackgroundMethodInfluentialPettitt, S. J., Frankum, J. R., Punta, M., Lise, S., Alexander, J. J., Chen, Y., Yap, T. A., Haider, S. A., Tutt, A. N. J., & Lord, C. J. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-19-1485 · Cited by 196 · see citing works
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Self-citationSingle-cell genomic variation induced by mutational processes in cancer
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PARP inhibition in breast cancer: progress made and future hopes
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Proteogenomic Markers of Chemotherapy Resistance and Response in Triple-Negative Breast Cancer
Anurag, M., Jaehnig, E. J., Krug, K., Lei, J. T., Bergstrom, E. J., Kim, B.-J., Vashist, T. D., Huynh, A. M. T., Dou, Y., Gou, X., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0200 · Cited by 135 · see citing works
“However, the majority of TNBC cases do not have an obvious hereditary explanation, and therefore the underlying DNA repair defects are more obscure (3).”
BackgroundGłodzik, D., Bosch, A., Hartman, J., Aine, M., Vallon‐Christersson, J., Reuterswärd, C., Karlsson, A., Mitra, S., Niméus, E., Holm, K., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17537-2 · Cited by 131 · see citing works
Self-citationMolecular subtypes and precision treatment of triple-negative breast cancer
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The History of Early Breast Cancer Treatment
Ben-Dror, J., Shalamov, M. M., & Sonnenblick, A. (2022) · Genes · doi:10.3390/genes13060960 · Cited by 138 · see citing works
“These types of cancer are characterized by their deficiency in homologous recombination repair [75], which led researchers to investigate the efficacy of PARP (poly (adenosine diphosphate-ribose) polymerase) inhibitors in the treatment of BC patients with BRCA1/2 mutations.”
BackgroundStructural variations in cancer and the 3D genome
Dubois, F. P. B., Sidiropoulos, N., Weischenfeldt, J., & Beroukhim, R. (2022) · Nature reviews. Cancer · doi:10.1038/s41568-022-00488-9 · Cited by 110 · see citing works
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“The higher accuracy to identify truly HRD cases by WGS data was also demonstrated recently for breast cancer (10).”
BackgroundResultInfluentialStaaf, J., Häkkinen, J., Hegardt, C., Saal, L. H., Kimbung, S., Hedenfalk, I. A., Lien, T. G., Sørlie, T., Naume, B., Russnes, H. G., et al. (2022) · npj Breast Cancer · doi:10.1038/s41523-022-00465-3 · Cited by 99 · see citing works
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Therapeutic and prognostic insights from the analysis of cancer mutational signatures
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Self-citationAberrant hyperexpression of the RNA binding protein FMRP in tumors mediates immune evasion
Zeng, Q., Saghafinia, S., Chryplewicz, A., Fournier, N., Christe, L., Xie, Y., Guillot, J., Yucel, S., Li, P., Galván, J. A., et al. (2022) · Science · doi:10.1126/science.abl7207 · Cited by 90 · see citing works
“The human TNBC TMA was constructed at the University of Lund, in accordance with appropriate ethical approvals, as described previously (70).”
MethodHanssen, F., Garcia, M. U., Folkersen, L., Pedersen, A., Lescai, F., Jodoin, S., Miller, E., Seybold, M., Wacker, O., Smith, N. H., et al. (2024) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqae031 · Cited by 96 · see citing works
The DNA damage response pathway as a land of therapeutic opportunities for colorectal cancer
Mauri, G., Arena, S., Siena, S., Bardelli, A., & Bianchi, A. S. (2020) · Annals of Oncology · doi:10.1016/j.annonc.2020.05.027 · Cited by 85 · see citing works
“* In cancer types other than colorectal cancer, “Signature 3” identify HRD and classify DDR alterations missense BRCA1/2 mutations; associated with BRCA1 and RAD51C silencing by promoter methylation; germline/somatic mutations of BRCA1/BRCA2; BRCA1 promoter hypermethylation; RAD51C hypermethylation or biallelic loss o…”
MethodPan, Z., Tan, C., Rao, L., Zhang, H., Zheng, Y., Liang, H., Ji, L., & Mao, Z. (2020) · Angewandte Chemie International Edition · doi:10.1002/anie.202008624 · Cited by 83 · see citing works
Harvey-Jones, E. J., Raghunandan, M., Robbez‐Masson, L., Magraner-Pardo, L., Alaguthurai, T., Yablonovitch, A. L., Yen, J. L., Xiao, H. F., Brough, R., Frankum, J. R., et al. (2024) · Annals of Oncology · doi:10.1016/j.annonc.2024.01.003 · Cited by 80 · see citing works
ShallowHRD: detection of homologous recombination deficiency from shallow whole genome sequencing
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Precision cancer medicine: Concepts, current practice, and future developments
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Self-citationTischkowitz, M. D., Balmañà, J., Foulkes, W. D., James, P. A., Ngeow, J. Y. Y., Schmutzler, R. K., Voian, N. C., Wick, M. J., Stewart, D. R., & Pal, T. (2021) · Genetics in Medicine · doi:10.1038/s41436-021-01151-8 · Cited by 79 · see citing works
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“The SCAN-B study was approved by the Regional Ethical Review Board in Lund, Sweden (applicable registration numbers 2009/658, 2015/277, 2016/742, 2018/267, and 2019/ 01252 for this study) as outlined in (22).”
BackgroundMethodSelf-citationStok, C., Kok, Y. P., van den Tempel, N., & van Vugt, M. A. T. M. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab151 · Cited by 61 · see citing works
“For example, the HRDetect algorithm recently identified patients with triplenegative breast cancer (TNBC) that would benefit from PARP inhibitor treatment using mutational signature analysis of whole genome sequencing (WGS) data (19,214).”
MethodTargeting the DNA Damage Response Pathways and Replication Stress in Colorectal Cancer
Durinikova, E., Reilly, N. M., Buzo, K., Mariella, E., Chilà, R., Lorenzato, A., Dias, J. M. L., Grasso, G., Pisati, F., Lamba, S., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-22-0875 · Cited by 60 · see citing works
“More recently, advanced signature analysis in breast cancer through the HRDetect score has pointed out RAD51C loss as a reliable BRCAness biomarker (68), suggesting that similar molecular approaches could be attempted in patients with colorectal cancer to further improve patients’ selection.”
Self-citationCieśla, M., Ngoc, P. C. T., Cordero, E., Martínez, Á. S., Morsing, M., Muthukumar, S., Beneventi, G., Madej, M., Munita, R., Jönsson, T., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.01.034 · Cited by 59 · see citing works
Self-citationRandom Forest Modelling of High-Dimensional Mixed-Type Data for Breast Cancer Classification
Quist, J., Taylor, L., Staaf, J., & Grigoriadis, A. E. (2021) · Cancers · doi:10.3390/cancers13050991 · Cited by 62 · see citing works
“7) cases (98%, 100% and 99% in Cluster s1 and s3, and i6, respectively) (Figure 3) [8,9].”
BackgroundMethodInfluentialSelf-citationAli, R., McIntosh, S., & Savage, K. I. (2020) · Genes Chromosomes and Cancer · doi:10.1002/gcc.22921 · Cited by 52 · see citing works
“with HRD.(22,23) A number of structural rearrangements may also lead”
BackgroundInfluentialMolecular analyses of triple-negative breast cancer in the young and elderly
Aine, M., Boyacı, C., Hartman, J., Häkkinen, J., Mitra, S., Campos, A. B., Niméus, E., Ehinger, A., Vallon‐Christersson, J., Borg, Å., et al. (2021) · Breast Cancer Research · doi:10.1186/s13058-021-01392-0 · Cited by 58 · see citing works
Self-citationThe Promise and Current Status of CDK12/13 Inhibition for the Treatment of Cancer
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Genome Protection by DNA Polymerase θ
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Roze, J. F., Monroe, G. R., Kutzera, J., Groeneweg, J. W., Stelloo, E., Paijens, S. T., Nijman, H. W., van Meurs, H. S., van Lonkhuijzen, L. R. C. W., Piek, J. M. J., et al. (2020) · Cancers · doi:10.3390/cancers12051308 · Cited by 53 · see citing works
“As a result, this coverage is sufficient to detect clonal mutations in our cohort of high tumor purity samples and is currently used in large cancer studies [45,46].”
BackgroundThe PARTNER trial of neoadjuvant olaparib with chemotherapy in triple-negative breast cancer
Abraham, J. E., Pinilla, K., Dayimu, A., Grybowicz, L., Demiris, N., Harvey, C., Drewett, L. M., Lucey, R., Fulton, A., Roberts, A. N., et al. (2024) · Nature · doi:10.1038/s41586-024-07384-2 · Cited by 53 · see citing works
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Accurate and sensitive mutational signature analysis with MuSiCal
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Homologous Recombination Deficiency Testing for BRCA-Like Tumors: The Road to Clinical Validation
Ladan, M. M., van Gent, D. C., & Jager, A. (2021) · Cancers · doi:10.3390/cancers13051004 · Cited by 43 · see citing works
Bai, X., Ni, J., Beretov, J., Graham, P., & Li, Y. (2021) · Journal of the National Cancer Center · doi:10.1016/j.jncc.2021.06.001 · Cited by 47 · see citing works
“20 .”
The RECAP Test Rapidly and Reliably Identifies Homologous Recombination-Deficient Ovarian Carcinomas
van Wijk, L. M., Vermeulen, S., Meijers, M., van Diest, M. F., ter Haar, N. T., de Jonge, M. M., Solleveld‐Westerink, N., van Wezel, T., van Gent, D. C., Kroep, J. R., et al. (2020) · Cancers · doi:10.3390/cancers12102805 · Cited by 43 · see citing works
“These studies revealed that although both BRCA mutation status and HRD status provided information regarding the magnitude of the potential treatment benefit of a PARPi in a given patient population, these biomarkers did not sufficiently discriminate between patients that would or would not benefit from treatment [4,5…”
EXO1 protects BRCA1-deficient cells against toxic DNA lesions
van de Kooij, B., Schreuder, A., Pavani, R., Garzero, V., Uruci, S., Wendel, T. J., van Hoeck, A., Alonso, M. S. M., Everts, M., Koerse, D., et al. (2024) · Molecular Cell · doi:10.1016/j.molcel.2023.12.039 · Cited by 46 · see citing works
Ring, A. E., Kilburn, L., Pearson, A., Moretti, L., Afshari-Mehr, A., Wardley, A. M., Gürel, B., Macpherson, I. R., Riisnaes, R., Baird, R. D., et al. (2023) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-23-1696 · Cited by 40 · see citing works
CDK12: cellular functions and therapeutic potential of versatile player in cancer
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“About 50% of HGSOC and triple-negative breast cancer (TNBC) are defective in the HR pathway, with CDK12 being among several recurrently mutated DNA damage response genes (4,115).”
BackgroundBarroso‐Sousa, R., Forman, J., Collier, K. A., et al. (2022) · JCO Precision Oncology · doi:10.1200/po.21.00413 · Cited by 41 · see citing works
Chiang, Y., Lin, P., & Cheng, W. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.675972 · Cited by 38 · see citing works
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Discovery through clinical sequencing in oncology
Donoghue, M. T. A., Schram, A. M., Hyman, D. M., & Taylor, B. S. (2020) · Nature Cancer · doi:10.1038/s43018-020-0100-0 · Cited by 38 · see citing works
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“Crucially, permitting FFPE WGS will not require changes to existing clinical pathways, nor should it interfere with existing FF or RNAlater sample collection.”
InfluentialSelf-citationvan Wijk, L. M., Nilas, A. B., Vrieling, H., & Vreeswijk, M. P. G. (2021) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2022.2020102 · Cited by 36 · see citing works
“Estimates based on various studies; i [50,106,111]; ii [74,78,94,112]; iii [80–83]; iv [92–95,105,119].”
BackgroundThe advance of adjuvant treatment for triple-negative breast cancer
Ge, J., Zuo, W., Chen, Y., Shao, Z., & Yu, K. (2021) · Cancer Biology and Medicine · doi:10.20892/j.issn.2095-3941.2020.0752 · Cited by 40 · see citing works
Witz, A., Dardare, J., Betz, M., Michel, C., Husson, M., Gilson, P., Merlin, J., & Harlé, A. (2025) · Biomarker Research · doi:10.1186/s40364-025-00740-y · Cited by 47 · see citing works
“All genetic material, including coding and non-coding regions, is sequenced in this complete method [138, 139].”
Galland, L., Ballot, E., Mananet, H., Boidot, R., Lecuelle, J., Albuisson, J., Arnould, L., Desmoulins, I., Mayeur, D., Kaderbhaï, C., et al. (2022) · npj Breast Cancer · doi:10.1038/s41523-022-00395-0 · Cited by 36 · see citing works
Lehmann, B. D., Abramson, V. G., Dees, E. C., Shah, P. D., Ballinger, T. J., Isaacs, C. J., Santa-Maria, C. A., An, H., Ericsson, P. I. G., Sanders, M. E., et al. (2023) · JAMA Oncology · doi:10.1001/jamaoncol.2023.5424 · Cited by 37 · see citing works
TEQUILA-seq: a versatile and low-cost method for targeted long-read RNA sequencing
Wang, F., Xu, Y., Wang, R., Zhang, B. D., Smith, N., Notaro, A., Gaerlan, S., Kutschera, E., Kadash-Edmondson, K. E., Xing, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40083-6 · Cited by 36 · see citing works
“Genomic DNAanalysisoftumorsamples,includingbothWGS and targeted sequencing, has been broadly used in research and clinical settings 30,31,56,57 .”
Sztupinszki, Z. M., Dióssy, M., Börcsök, J., Prósz, A. G., Cornelius, N., Kjeldsen, M. K., Mirza, M. R., & Szállási, Z. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-0981 · Cited by 37 · see citing works
“It was also suggested that combining the above listed mutational signatures into a composite signature may provide a more accurate measure of HRD (HRDetect) in breast cancer (17, 18).”
BackgroundSigurjonsdottir, G., Marchi, T. D., Ehinger, A., Hartman, J., Bosch, A., Staaf, J., Killander, F., & Niméus, E. (2023) · Breast Cancer Research · doi:10.1186/s13058-023-01724-2 · Cited by 35 · see citing works
Self-citationThe landscape of human SVA retrotransposons
Chu, C., Lin, E. W., Tran, A. V., Jin, H., Ho, N. I., Veit, A. D., Cortés‐Ciriano, I., Burns, K. H., Ting, D. T., & Park, P. J. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad821 · Cited by 33 · see citing works
“These include BRCA1 in breast cancer ( 6 ) ; TAF1 in X-linked dystonia-parkinsonism ( 7–9 ) ; FKTN in Fukuyama muscular dystrophy ( 10 ) , WDR66 in male infertility ( 11 ) , and several other genes ( 12–24 ) .”
BackgroundUpdate on triple‐negative breast cancers – highlighting subtyping update and treatment implication
Tsang, J. Y., & Tse, G. M.-K. (2022) · Histopathology · doi:10.1111/his.14784 · Cited by 36 · see citing works
“In fact, among the four mutational signature subtypes in breast cancer, more than half of TNBC were classified with the homologous recombination deficiency (HRD) mutational signature.(32,33) For a deeper understanding of breast cancer beyond gene profiling, a multi-omic approach with six different platforms has provid…”
BackgroundMolecular Testing in Breast Cancer
Sun, L., Wu, A. S.-H., Bean, G. R., Hagemann, I. S., & Lin, C. (2021) · Journal of Molecular Diagnostics · doi:10.1016/j.jmoldx.2021.07.026 · Cited by 36 · see citing works
DNA damage response in breast cancer and its significant role in guiding novel precise therapies
Li, J., Jia, Z., Dong, L., Cao, H., Huang, Y.-S., Xu, H.-Y., Xie, Z.-X., Jiang, Y.-W., Wang, X., & Liu, J.-Q. (2024) · Biomarker Research · doi:10.1186/s40364-024-00653-2 · Cited by 34 · see citing works
“HRD is found in up to 50% of TNBC cases, with g BRCA1/2 m causing 10–22% of these instances [5, 6, 36–40].”
BackgroundHomologous recombination deficiency: how genomic signatures are generated
Setton, J. S., Reis-Filho, J. S., & Powell, S. N. (2021) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2021.01.002 · Cited by 33 · see citing works
“Furthermore, a significant subset of tumors predicted to be HR-deficient by integrated signature analysis have been shown to lack identifiable genetic or epigenetic variants in HR genes [30,44], suggesting that signature analysis may increase the number of patients who could potentially benefit from HR-targeting cance…”
BackgroundResultWalsh, T., Casadei, S., Munson, K. M., Eng, M., Mandell, J. B., Gülsüner, S., & King, M. (2020) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2020-107320 · Cited by 31 · see citing works
Liao, G., Jiang, Z., Yang, Y., Zhang, C., Jiang, M., Zhu, J., Xu, L., Xie, A., Yan, M., Zhang, Y., et al. (2021) · BMC Medicine · doi:10.1186/s12916-021-02068-4 · Cited by 30 · see citing works
“Accumulated evidence has shown that HRD is associated with a better prognosis for patients with a variety of solid tumours [42, 43].”
BackgroundMolecular Heterogeneity and Evolution in Breast Cancer
Caswell-Jin, J. L., Lorenz, C., & Curtis, C. N. (2020) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-060220-014137 · Cited by 32 · see citing works
Pan-cancer landscape of homologous recombination deficiencyPreprint
Nguyen, L., Martens, J. W. M., van Hoeck, A., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.13.905026 · Cited by 31 · see citing works
Dotolo, S., Abate, R. E., Roma, C., Guido, D., Preziosi, A., Tropea, B., Palluzzi, F., Giacò, L., & Normanno, N. (2022) · Biomedicines · doi:10.3390/biomedicines10092074 · Cited by 32 · see citing works
Clinical interpretation of whole-genome and whole-transcriptome sequencing for precision oncology
Jobanputra, V., Wrzeszczyński, K. O., Büttner, R., Caldas, C., Cuppen, E. P. J. G., Grimmond, S. M., Haferlach, T., Mullighan, C. G., Schuh, A., & Elemento, O. (2021) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2021.07.003 · Cited by 30 · see citing works
PALB2 Variants: Protein Domains and Cancer Susceptibility
Nepomuceno, T. C., Carvalho, M. A., Rodrigue, A., Simard, J., Masson, J., & Monteiro, Á. N. A. (2020) · Trends in cancer · doi:10.1016/j.trecan.2020.10.002 · Cited by 30 · see citing works
An overview of mutational and copy number signatures in human cancer
Steele, C. D., Pillay, N., & Alexandrov, L. B. (2022) · The Journal of Pathology · doi:10.1002/path.5912 · Cited by 27 · see citing works
“In an effort to generate a robust test for HRD, Davies et al built a predictive model for HRD – HRDetect – that incorporates SBS, indel, and rearrangement signatures, as well as CN genomic scars [65,66], which holds great promise but is restricted to WGS data.”
MethodResearch advances and new challenges in overcoming triple-negative breast cancer
Zong, Y., & Pegram, M. D. (2021) · Cancer Drug Resistance · doi:10.20517/cdr.2021.04 · Cited by 29 · see citing works
“This new model was recently validated in a Swedish cohort of 254 primary TNBC patient samples[60].”
MethodFei, H., Chen, S., & Xu, C. (2020) · Annals of Translational Medicine · doi:10.21037/atm.2020.02.51 · Cited by 28 · see citing works
“However, it should be noted that the definite etiopathogenesis of TNBC is still unclear despite there were a great deal of researches on the mechanism in TNBC formation (10-12).”
BackgroundGenoREC: A Recommendation System for Interactive Genomics Data Visualization
Pandey, A., L’Yi, S., Wang, Q., Borkin, M. A., & Gehlenborg, N. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209407 · Cited by 24 · see citing works
“For sparse quantitative and nominal values, we used various datasets including GWAS catalog [7], gene annotations [17], and somatic structural variants [49].”
MethodThe DNA methylation landscape of primary triple-negative breast cancer
Aine, M., Nacer, D. F., Arbajian, E., Veerla, S., Karlsson, A., Häkkinen, J., Johansson, H. J., Rosengren, F., Vallon‐Christersson, J., Borg, Å., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58158-x · Cited by 29 · see citing works
“DNA-based TNBC studies have focused on the strong association between TNBC and DNA repair de fi ciency, typically manifested as homologous recombination de fi ciency (HRD) caused predominantly by mutational or epigenetic alterations in BRCA1 6,7,15,16 , shaping tumor genomes over time through a mutational process that c…”
InfluentialSelf-citationQin, Y., Yuan, X., Cui, Z., Chen, W., Xu, S., Chen, K., Wang, F., Zheng, F., Ni, H., Shen, H., et al. (2023) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2023.115503 · Cited by 28 · see citing works
Caramelo, O. L., Silva, C., Caramelo, F. J., Frutuoso, C., Pinto, L., & Almeida‐Santos, T. (2022) · Hereditary Cancer in Clinical Practice · doi:10.1186/s13053-022-00242-0 · Cited by 27 · see citing works
“Breast cancers with germline BRCA1 or BRCA2 pathogenic or likely pathogenic variants and biallelic inactivation show evidence of deficiency in homologous recombination repair [10, 11].”
BackgroundLam, R. A., Tien, T. Z., Joseph, C. R., et al. (2021) · Cancers · doi:10.3390/cancers13153875 · Cited by 26 · see citing works
“Homologous Recombination Deficiency Detect (HRDetect) mutationalsignature-based algorithm was used to classify tumours, with HRDetect-high patients having better invasive disease-free survival and distant relapse-free interval on adjuvant chemotherapy compared to HRDetect-low and HRDetect-intermediate having the poore…”
MethodZhang, J., Zhang, X., Li, Z., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.654672 · Cited by 26 · see citing works
“It is characterized by earlier recurrence, the tendency of metastasis, shortage of effective therapeutic drugs, and poor prognosis (2, 3).”
BackgroundQuiescent Cancer Cells Resist T Cell Attack by Forming an Immunosuppressive NichePreprint
Baldominos, P., Barbera-Mourelle, A., Barreiro, O., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3902781 · Cited by 26 · see citing works
Semaan, A., Bernard, V., Lee, J. J., Wong, J., Huang, J. H., Swartzlander, D. B., Stephens, B. M., Monberg, M. E., Weston, B. R., Bhutani, M. S., et al. (2020) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-2667 · Cited by 24 · see citing works
““HRDetect,” but the algorithm performed suboptimally with WES data because essential predictor components such as rearrangement signatures and indels analysis are restricted (35, 36).”
BackgroundMethodVidal, J. M., Tsiknakis, N., Staaf, J., Bosch, A., Ehinger, A., Niméus, E., Salgado, R., Bai, Y., Rimm, D. L., Hartman, J., et al. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102928 · Cited by 26 · see citing works
Self-citation
- Authors
- Staaf, J., Glodzik, D., Bosch, A., Vallon-Christersson, J., Reuterswärd, C., Häkkinen, J., Degasperi, A., Amarante, T. D., Saal, L. H., Hegardt, C., Stobart, H., Ehinger, A., Larsson, C., Rydén, L., Loman, N., Malmberg, M., Kvist, A., Ehrencrona, H., Davies, H. R., Borg, Å., & Nik-Zainal, S.
- Affiliations
- Lund University (SE)
- University of Cambridge (GB)
- Corresponding author
- Staaf, Johan
- ORCID
- Venue
- Nature Medicine
- Published
- 2019-09-30
- Volume
- 25
- Issue
- 10
- Pages
- 1526-1533
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- PMC
- PMC6859071
- OpenAlex
- W2976898289
- Cited by
- 307
- References
- 38
- Citations by year
- 2026: 27 · 2025: 33 · 2024: 50 · 2023: 41 · 2022: 56 · 2021: 58 · 2020: 41 · 2019: 1
- FWCI
- 23.66
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Lund University Publications (Lund University) (submittedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Apollo
- Funders
- Wellcome Trust (WT100183MA)
- Cancer Research UK (C60100/A25274, C60100/A23916)
- Cancerfonden (SIA190013)
- Sveriges Regering ((ALF) 2018/40612)
- Fru Berta Kamprads Stiftelse (FBKS-2018-4-146)
- Crafoordska Stiftelsen (20180543)
- Stiftelsen Konung Gustaf V:s Jubileumsfond (174271)
- Vetenskapsrådet
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Keywords
- triple-negative breast cancer, whole genome sequencing, homologous recombination deficiency, mismatch repair deficiency, BRCA1, BRCA2, BRCA1 promoter hypermethylation, PALB2, adjuvant chemotherapy, disease-free survival, distant recurrence-free survival, prognostic factors, trial stratification
- MeSH terms
- Whole Genome Sequencing, Adult, Aged, Aged, 80 and over, Female, Genetics, Population, Humans, Middle Aged, Neoplasm Recurrence, Local, Prognosis, Promoter Regions, Genetic, Germ-Line Mutation, Disease-Free Survival, DNA Methylation, Triple Negative Breast Neoplasms
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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