Novel Approach to Fecal Occult Blood Testing by Assay of Erythrocyte-Specific microRNA Markers
Open accessAbstract
BackgroundFecal occult blood testing (FOBT) has historically relied on methods to detect hemoglobin with no fundamental innovations in decades.AimTo examine microRNA (miRNA) as a new marker class for FOBT.MethodsCandidate miRNA markers were identified by small RNA sequencing of human whole blood compared to colorectal epithelia. Markers were tested in human blood cell subsets and blood from non-human species. We assessed assay linearity in blood spiking and marker stability in stool over incubation experiments. Levels of candidate erythrocyte markers were explored in stools from colorectal cancer (CRC) cases and controls.ResultsBased on small RNA sequencing and validation RT-qPCR, expression level of each of the top blood-enriched markers (hsa-miR-144-3p, 144-5p, 451a, 486-5p, 363-3p, 20b-5p) could perfectly discriminate blood from colorectal epithelia. All six markers arose from and showed specificity to human erythrocytes. Marker levels increased linearly with erythrocyte concentration in saline or stool and demonstrated a broader dynamic range than did immunochemical test for hemoglobin. Degradation of markers occurred in stool but was reduced with preservative buffers. Erythrocyte marker candidates for stool testing were selected in an exploratory set of stools (20 CRC, 40 normal). Candidates were then further tested in a feasibility set (29 CRC, 31 advanced adenoma, and 115 normal); a miRNA panel (hsa-miR-451a, 144-5p, and 200b-3p as normalizer) yielded an AUC of 0.89 (95% CI 0.82–0.95, P < .0001) for CRC.ConclusionsA novel miRNA-based approach accurately quantifies fecal blood levels over a broad, clinically relevant range.
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Written from the paper’s full text.
TL;DR
This study identifies erythrocyte-specific microRNAs as a new marker class for fecal occult blood testing, with candidate markers showing linear quantification across clinically relevant blood concentrations. In an independent feasibility set, a three-miRNA panel detected colorectal cancer with an AUC of 0.89.
Key findings
- Small RNA sequencing of 120 libraries found 19 blood-enriched miRNAs with AUC 1.0 for discriminating blood from colorectal epithelia; six had >20-fold blood-over-epithelia change: hsa-miR-144-3p, 451a, 144-5p, 20b-5p, 486-5p, and 363-3p. All six arose from erythrocytes with no cross-expression in white blood cell types or epithelia.
- In saline spike-in dilutions, all six miRNAs were linearly associated with erythrocyte concentration (R² = 0.984–1.000, P < .0001 each), whereas FIT linearity was lower (R² = 0.899, P = .0039). In stool spike-ins across a clinical range, FIT and hsa-miR-363-3p, 451a, and 144-5p correlated highly with erythrocyte concentration (R² = 0.99–0.999, P < .0001 each).
- In the feasibility set (29 CRC, 31 advanced adenoma, 115 normal), a panel using hsa-miR-451a, 144-5p, and 200b-3p as normalizer yielded an AUC of 0.89 (95% CI 0.82–0.95, P < .0001) for CRC; at 95% specificity, sensitivity was 66% for all cancers, 92% for distal cancers versus 48% for proximal cancers (P = .0084). Advanced adenoma detection was poor (AUC = 0.58, 95% CI 0.45–0.69, P = .244).
- Erythrocyte miRNA markers degraded in stool over 14 days at room temperature, but degradation was reduced with preservative buffers; DNA/RNA Shield was most stable, and none returned to baseline even in non-preservative saline.
Methods
- Prospective sequential study: marker discovery by small RNA sequencing of human whole blood (n = 25) and colorectal epithelia (normal n = 20, neoplastic n = 75), followed by RT-qPCR validation, blood cell subset origin testing, species specificity testing, spike-in linearity assessment, stool stability experiments, and blinded clinical stool studies.
- Clinical stool testing used an exploratory set and an independent feasibility set. The exploratory set included 20 CRC, 20 pancreatic cancer disease controls, and 20 healthy controls per Methods, with results comparing CRC (n = 20) to normal controls (n = 40); the feasibility set included 29 CRC, 31 advanced adenomas, and 115 normal colonoscopy controls.
- Stool miRNA levels were measured by RT-qPCR from EDTA-buffered stool, with hsa-miR-200b-3p as an epithelial normalizer. Analyses included Mann–Whitney tests, generalized additive modeling, and ROC AUC estimation.
Limitations
- Stated: CRC cases in both cohorts were recruited from symptomatic patients in the referral setting, so performance may not represent a screening population. Sensitivity for advanced adenomas was relatively low, and the predominantly proximal location of advanced adenomas may have contributed. Definitive studies are needed for upper gastrointestinal bleeding, and formal comparisons with established FOBTs are premature; further work is needed to prove non-inferiority to FIT.
- Stated: modeling was not performed in the exploratory set to avoid over-fitting in a small sample size.
- Evident from the text: the clinical evaluation used small pilot cohorts, and the exploratory set had only 20 CRC cases; the paper reports no formal head-to-head FIT comparison in the feasibility set.
Model-written summary. Check it against the paper before relying on it.
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Claims the paper makes
1 of 32 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Findingown data
All six markers demonstrated no significant difference in expression across colorectal epithelial subgroups at tissue level.
“All six markers demonstrated no significant difference in expression across colorectal epithelial subgroups at the tissue level.”
Quote in the paperSubstantial claim - Findingown data
Degradation of markers was reduced by variable degrees in different preservative buffers.
“Degradation was reduced by variable degrees in different preservative buffers”
Quote in the paperSubstantial claim - Findingown data
Sensitivity for advanced adenomas was relatively much lower than for CRC in this study.
“Sensitivity for advanced adenomas (conventional adenomas and SSAs combined) was relatively much lower than for CRC in this study.”
Quote in the paperSubstantial claim - Findingown data
None of the markers returned to baseline even in stools homogenized with non-preservative saline and incubated for 14 days at room temperature.
“None of the markers returned to baseline even in stools homogenized with a non-preservative saline solution and incubated for 14 days at room temperature.”
Quote in the paperSubstantial claim - Findingown data
FIT and hsa-miR-363-3p, 451a, and 144-5p correlated highly with erythrocyte concentration in stool (R2=0.99-0.999, P<.0001 for each).
“FIT and hsa-miR-363-3p, 451a, and 144-5p correlated highly with erythrocyte concentration (R2 = 0.99–0.999 levels, P < .0001 for each).”
Quote in the paperSubstantial claim
- Findingown data
Erythrocyte miRNA markers can be assayed directly from the EDTA-buffered sample.
“we have shown in the present study that erythrocyte miRNA markers can be assayed directly from the EDTA-buffered sample.”
Quote in the paperSubstantial claim - Findingown data
Marker levels in stools from pancreatic cancer patients were similar to normal controls.
“Marker levels in stools from pancreatic cancer patients, included to assess potential confounding by upper GI pathology, were similar to normal controls.”
Quote in the paperSubstantial claim - Findingown data
Based on 120 small RNA libraries, 502 miRNAs had average normalized reads >5 in either blood or colorectal epithelia.
“Based on all 120 small RNA libraries, 502 miRNAs had average normalized reads above 5 in either blood or colorectal epithelia”
Quote in the paperNot a substantial claim - Findingown data
Sensitivity was higher with distal cancers (92%) than with proximal cancers (48%), P=.0084.
“Sensitivity was higher with distal cancers (92%) than with proximal cancers (48%), P = .0084”
Quote in the paperNot a substantial claim - Findingown data
No significant difference in sensitivity was found in detecting early T stage (T1 and 2) and late T stage (T3 and 4) cancers.
“No significant difference in sensitivity was found in detecting early T stage (T1 and 2) and late T stage (T3 and 4) cancers.”
Quote in the paperNot a substantial claim - Findingown data
The linearity of FIT was less than that for miRNA markers (R2=0.899, P=.0039) primarily due to loss of linearity at extreme upper and lower erythrocyte concentrations.
“In contrast, the linearity of FIT was less than that for miRNA markers (R2 = 0.899, P = .0039) primarily due to loss of linearity at extreme upper and lower erythrocyte concentrations.”
Quote in the paperSubstantial claim - Findingown data
Detection of advanced adenoma (n=31) was poor (AUC=0.58, 95% CI 0.45-0.69, P=.244).
“Detection of advanced adenoma (n = 31) was poor (AUC = 0.58, 95% CI 0.45–0.69, P = .244)”
Quote in the paperNot a substantial claim - Findingnone given
Inclusion of epithelial marker hsa-miR-200b-3p as a normalizer in the miRNA panel significantly improved the AUC in discriminating CRC cases.
“Inclusion of the epithelial marker identified in this study (hsa-miR-200b-3p) as a normalizer in the miRNA panel significantly improved the AUC in discriminating CRC cases.”
Quote in the paperSubstantial claim - Findingown data
All three markers (hsa-miR-451a, 144-5p, and 200b-3p) were independently significant contributors to the model.
“All three markers were independently significant contributors to the model.”
Quote in the paperSubstantial claim - Findingown data
In exploratory set, fecal levels of hsa-miR-144-5p and 451a were significantly higher in CRC cases (n=20) than normal controls (n=40).
“In the exploratory set, fecal levels of hsa-miR-144-5p and 451a were significantly higher in CRC cases (n = 20) than normal controls (n = 40”
Quote in the paperSubstantial claim - Findingown data
At 95% specificity, the panel demonstrated a sensitivity of 66% for all cancers.
“at 95% specificity, the panel demonstrated a sensitivity of 66% for all cancers.”
Quote in the paperSubstantial claim - Findingown data
miRNA is progressively degraded in stool over time in the incubation study.
“we found that miRNA is progressively degraded in stool over time in our incubation study.”
Quote in the paperNot a substantial claim - Findingown data
Among these 19, six exhibited >20-fold change in blood compared to epithelia: hsa-miR-144-3p, 451a, 144-5p, 20b-5p, 486-5p, and 363-3p.
“Among these 19 marker candidates, six exhibited a >20-fold change in blood compared to epithelia: hsa-miR-144-3p, 451a, 144-5p, 20b-5p, 486-5p, and 363-3p.”
Quote in the paperSubstantial claim - Findingown data
For CRC (n=29) detection, the miRNA panel yielded an AUC of 0.89 (95% CI 0.82-0.95, P<.0001).
“For CRC (n = 29) detection, the panel yielded an AUC of 0.89 (95% CI 0.82–0.95, P < .0001, Fig. 4)”
Quote in the paperSubstantial claim - Findingown data
The miRNA panel was more sensitive toward advanced adenomas in distal colon than proximal colon (P=.0432).
“the miRNA panel was more sensitive toward advanced adenomas in distal colon than proximal colon (P = .0432, Table 2).”
Quote in the paperNot a substantial claim - Findingcitation
Many erythrocyte-enriched miRNAs also appear to be abundant in epithelia.
“However, many such miRNAs also appear to be abundant in epithelia (Supplemental Data 1) [22]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] Pritchard CC, Kroh E, Wood B, et al. Blood cell origin of circulating microRNAs: a cautionary note for cancer biomarker studies. Cancer Prev Res. 2012;5:492–497. source
Checked before — its earlier verdict is held back until a new check runs.
- Findingown data
Except for hsa-miR-144-3p, the other five miRNA erythrocyte markers showed negligible baseline level in stools from healthy volunteers on unrestricted diets.
“Except for hsa-miR-144-3p, the other five miRNA erythrocyte markers showed negligible baseline level in stools from healthy volunteers on unrestricted diets”
Quote in the paperSubstantial claim - Findingown data
145 (29%) of those miRNAs had higher levels in blood than in colorectal epithelia.
“and 145 (29%) had higher levels in blood than in colorectal epithelia”
Quote in the paperNot a substantial claim - Findingown data
Erythrocyte-specific hsa-miR-144-3p, 144-5p, 20b-5p and 363-3p showed very low expression in cow, pig, sheep, rabbit, turkey and chicken whole blood relative to human blood.
“Erythrocyte-specific hsa-miR-144-3p, 144-5p, 20b-5p and 363-3p showed very low expression in cow, pig, sheep, rabbit, turkey and chicken whole blood relative to human blood”
Quote in the paperSubstantial claim - Findingown data
In subset with both FIT and miRNA results, CRC detection rates appeared similar.
“In a subset of cases and controls for which both FIT and miRNA results were available, CRC detection rates appeared similar”
Quote in the paperNot a substantial claim - Findingown data
The epithelial marker hsa-miR-200b-3p had a negative coefficient in the model, indicating it functioned as a normalizer.
“The epithelial marker hsa-miR-200b-3p, which was also modeled in the algorithm, had a negative coefficient, indicating it functioned as a normalizer”
Quote in the paperNot a substantial claim - Findingown data
All six miRNAs were linearly associated with erythrocyte concentration in saline (R2=0.984-1.000, P<.0001 for each).
“Overall, all six miRNAs were linearly associated with erythrocyte concentration (R2 = 0.984–1.000 level, P < .0001 for each, Fig. 1b).”
Quote in the paperSubstantial claim - Findingown data
Calculated levels of spike-in series approximating clinical fecal occult blood range were from 1800 to 36,000 erythrocytes per μL stool homogenate.
“Calculated levels of the spike-in series approximating the clinical fecal occult blood range were from 1800 to 36,000 erythrocytes per µL stool homogenate”
Quote in the paperSubstantial claim - Premiseown data
In a recent unpublished RNA sequencing study, a subset of miRNAs were not expressed in colorectal epithelia but abundantly present in whole blood.
“In a recent unpublished RNA sequencing study to identify colorectal epithelial markers, we noted that a subset of microRNAs (miRNAs) were not expressed in colorectal epithelia but are abundantly present in whole blood.”
Quote in the paperSubstantial claim - Interpretationreasoning
This new method may yield certain performance advantages over conventional tests.
“Considering its features, this new method may yield certain performance advantages over conventional tests (Table 3).”
Quote in the paperSubstantial claim - Premisecitation
Combining FIT with assay of exfoliated molecular markers in stool expands sensitivity of stool testing for colorectal neoplasia.
“Combining a FIT application with assay of exfoliated molecular markers in stool has proven to be a rational and effective approach to further expand the sensitivity of stool testing for detection of colorectal neoplasia [8–11].”
Quote in the paperSubstantial claim0 of 4 sources checked- cites [8] Ahlquist DA, Zou H, Domanico M, et al. Next-generation stool DNA test accurately detects colorectal cancer and large adenomas. Gastroenterology. 2012;142:248–256. (quiz e225–246). source
Checked before — its earlier verdict is held back until a new check runs.
- cites [9] Imperiale TF, Ransohoff DF, Itzkowitz SH, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–1297. source
- cites [10] Lidgard GP, Domanico MJ, Bruinsma JJ, et al. Clinical performance of an automated stool DNA assay for detection of colorectal neoplasia. Clin Gastroenterol Hepatol. 2013;11:1313–1318. source
- cites [11] Redwood DG, Asay ED, Blake ID, et al. Stool DNA testing for screening detection of colorectal neoplasia in Alaska Native people. Mayo Clin Proc. 2016;91:61–70. source
Checked before — its earlier verdict is held back until a new check runs.
- Interpretationreasoning
Unlike hemoglobin measured as concentration by FIT and not adjusted for stool hydration, miRNA marker levels in stool can be directly quantified when normalized against an internal control to correct for variations in input content and assay efficiency.
“Unlike hemoglobin which is measured as a concentration in the buffer by FIT and not adjusted for variable degrees of stool hydration, miRNA marker levels in stool can be directly quantified when normalized against an internal control to correct for variations in input content and assay efficiency.”
Quote in the paperSubstantial claim - Interpretationown data
The poor advanced adenoma detection is consistent with low sensitivities seen with conventional FOBTs.
“consistent with the low sensitivities seen with conventional FOBTs.”
Quote in the paperNot a substantial claim - Interpretationown data
The study demonstrated a novel approach to FOBT based on erythrocyte-specific miRNAs.
“We have demonstrated a novel approach to fecal occult blood testing based on erythrocyte-specific miRNAs.”
Quote in the paperSubstantial claim - Interpretationown data
In exploratory and feasibility studies using archival stool samples stored in EDTA buffer, erythrocyte miRNA markers yielded moderately high sensitivity and specificity for CRC detection at levels comparable to FIT.
“In our small exploratory and feasibility studies using archival stool samples stored in EDTA buffer, erythrocyte miRNA markers yielded moderately high sensitivity and specificity for CRC detection and at levels comparable to FIT.”
Quote in the paperSubstantial claim - Interpretationown data
Pilot data suggest that a miRNA marker panel can detect CRC at a rate similar to that by FIT.
“Pilot data suggest that a miRNA marker panel can detect CRC at a rate similar to that by FIT.”
Quote in the paperSubstantial claim - Interpretationown data
Fecal occult blood levels can be accurately quantified across a broad concentration range using novel approach based on assay of erythrocyte-specific miRNA markers.
“In conclusion, we have shown that fecal occult blood levels can be accurately quantified across a broad concentration range using a novel approach based on assay of erythrocyte-specific miRNA markers.”
Quote in the paperSubstantial claim - Interpretationreasoning
Use of miRNA markers in place of FIT may allow testing of all analytes from one buffered stool specimen.
“Accordingly, use of miRNA markers in place of FIT may allow testing of all analytes from one buffered stool specimen.”
Quote in the paperSubstantial claim - Interpretationreasoning
Because of their low background in normal stool, the presence of trace amounts of blood could be reflected by these markers.
“Because of their low background in normal stool, the presence of trace amounts of blood could be reflected by these markers.”
Quote in the paperSubstantial claim - Interpretationnone given
Exfoliated epithelial cells likely contribute to the majority of miRNA content found in stool.
“and exfoliated epithelial cells likely contribute to the majority of miRNA content found in stool.”
Quote in the paperNot a substantial claim - Interpretationcitation
Previously reported elevation of epithelial miRNA markers in stool such as hsa-miR-92a-3p and 21-5p could have also stemmed from occult tumor bleeding.
“Conversely, because of the overlapping expression, previously reported elevation of epithelial miRNA markers in stool such as hsa-miR-92a-3p and 21-5p could have also stemmed from occult tumor bleeding [23].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [23] Wu CW, Ng SS, Dong YJ, et al. Detection of miR-92a and miR-21 in stool samples as potential screening biomarkers for colorectal cancer and polyps. Gut. 2012;61:739–745. source
- Premisecitation
Prior reports have found miRNAs to be relatively stable in various biological media, including blood and stool.
“Prior reports have found miRNAs to be relatively stable in various biological media, including blood and stool [16, 17].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [16] Arroyo JD, Chevillet JR, Kroh EM, et al. Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc Natl Acad Sci USA. 2011;108:5003–5008. source
Queued — the background check reaches it, usually within a day.
- cites [17] Wu CW, Ng SC, Dong Y, et al. Identification of microRNA-135b in stool as a potential noninvasive biomarker for colorectal cancer and adenoma. Clin Cancer Res. 2014;20:2994–3002. source
- Classified as probably not a substantial claim. 23
- May combine two claims. 21
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisecitationhsa-miR-144-3p/5p and hsa-miR-451a are members of the hsa-miR-144/451 cluster located on chromosome 11.
“It is known that both hsa-miR-144-3p/5p and hsa-miR-451a are members of the hsa-miR-144/451 cluster located on chromosome 11.”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [24] Dore LC, Amigo JD, Dos Santos CO, et al. A GATA-1-regulated microRNA locus essential for erythropoiesis. Proc Natl Acad Sci USA. 2008;105:3333–3338. source
- cites [25] Rasmussen KD, Simmini S, Abreu-Goodger C, et al. The miR-144/451 locus is required for erythroid homeostasis. J Exp Med. 2010;207:1351–1358. source
The Results and Discussion section identifies miR-144 and miR-451 as members of the miR-144/451 cluster. The passages in our copy do not establish that the human cluster is on chromosome 11 or identify the specific hsa-miR-144-3p/5p and hsa-miR-451a forms. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataSeveral miRNA markers were highly discriminant for colorectal epithelium and absent in whole blood.
“Several miRNA markers were identified as highly discriminant for colorectal epithelium and absent in whole blood.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTop epithelial markers achieved AUC of 1.0 with >1000-fold differential expression over blood.
“Top epithelial markers achieved AUC of 1.0 with >1000-fold differential expression over blood.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCross-reactivity was observed with hsa-miR-451a in blood from pig and with hsa-miR-486-5p in blood from sheep.
“Cross-reactivity was observed with hsa-miR-451a in blood from pig and with hsa-miR-486-5p in blood from sheep.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Findingown dataBased on complete blood count, serial dilutions yielded calculated concentrations ranging from 4 to 3.6 × 10^5 erythrocytes per μL solution.
“Based on complete blood count, serial dilutions yielded calculated concentrations ranging from 4 to 3.6 × 105 erythrocytes per µL solution.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt spike-in concentration of 25 μL blood per gram stool, erythrocyte miRNA markers were least stable in absence of preservative and most stable in DNA/RNA Shield.
“At a spike-in concentration of 25 µL blood per gram of stool, erythrocyte miRNAs markers were least stable in the absence of preservative and most stable in DNA/RNA Shield.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThese top six markers each retained high discrimination in validation by RT-qPCR, and their expression in blood exceeded that in tissue by 119- to 3988-fold.
“These top six markers each retained high discrimination in validation by RT-qPCR, and their expression in blood exceeded that in tissue by 119- to 3988-fold.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe degree of degradation varied by individual miRNA and could be reduced using preservative buffers.
“The degree of such degradation varied by individual miRNA and could be reduced using preservative buffers.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown datahsa-miR-144-3p, 486-5p, and 20b-5p correlated with erythrocyte concentration in stool at R2=0.757 (P=.0242), 0.952 (P=.0009), and 0.973 (P=.0003) respectively.
“hsa-miR-144-3p, 486-5p, and 20b-5p correlated with erythrocyte concentration at R2 = 0.757 (P = .0242), 0.952 (P = .0009), and 0.973 (P = .0003) levels, respectively.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNineteen miRNAs had average read counts >50 in blood and demonstrated perfect discrimination between blood and epithelia with AUCs of 1.0 at P<.0001.
“Nineteen miRNAs had average read counts above 50 in blood and demonstrated perfect discrimination between blood and epithelia with AUCs of 1.0 at P values <.0001”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAll six markers arose from erythrocytes with no cross-expression in white blood cell types or in epithelia.
“All six markers were found to have arisen from erythrocytes with no cross-expression in white blood cell types or in epithelia”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSamples with cel-miR-39-3p recovery >20% were determined valid for analysis.
“Samples with cel-miR-39-3p recovery >20% were determined valid for analysis.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAn effort was made to balance age and gender within each clinical set.
“An effort was made to balance age and gender within each set.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCombining FIT with molecular stool markers compensates for intermittency or absence of bleeding from colorectal neoplasms while exploiting complementary value of FIT.
“Such a combination compensates for the intermittency or absence of bleeding from colorectal neoplasms [12, 13], while exploiting the complementary value of FIT.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [12] Ahlquist DA, McGill DB, Fleming JL, et al. Patterns of occult bleeding in asymptomatic colorectal cancer. Cancer. 1989;63:1826–1830. source
Not checked in the free run.
- cites [13] Heigh RI, Yab TC, Taylor WR, et al. Detection of colorectal serrated polyps by stool DNA testing: comparison with fecal immunochemical testing for occult blood (FIT). PLoS ONE. 2014;9:e85659. source
Checked before — its earlier verdict is held back until a new check runs.
May combine two claims.
InterpretationreasoningThe panel was more sensitive to distal lesions than proximal lesions, potentially due to lesser extent of bleeding with proximal lesions and degradation of analyte during luminal transit.
“The panel was more sensitive to distal lesions than proximal lesions, potentially due to the lesser extent of bleeding with proximal lesions and degradation of analyte during luminal transit, a phenomenon that is also seen with stool assays for hemoglobin [9].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [9] Imperiale TF, Ransohoff DF, Itzkowitz SH, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–1297. source
Probably not a substantial claim: may not pass S4 (based).
Premisenone givenThere has been no fundamental innovation around the targeted biomarkers for FOBT in recent decades.
“While technical refinements with conventional FOBTs continue, there has been no fundamental innovation around the targeted biomarkers themselves in recent decades.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationFOBT approaches have historically relied on detecting components of hemoglobin.
“Historically, FOBT approaches have relied on detecting components of hemoglobin, each with distinct advantages and limitations [3].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [3] Ahlquist DA, Young GP. Approach to the patient with occult gastrointestinal bleeding. In: Yamada T, Alpers DH, eds. Principles of clinical gastroenterology. New York: Wiley; 2008:152–169. source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe predominantly proximal location of advanced adenomas in our study might have also contributed to the low marker sensitivity.
“The predominantly proximal location of advanced adenomas in our study might have also contributed to the low marker sensitivity.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningA molecular-based FOBT has potential to simplify patient experience by avoiding separate stool sampling and reduce material costs of the multi-target stool test.
“A molecular-based FOBT has potential to simplify the patient experience by avoiding a separate stool sampling and also reduce material costs of the multi-target stool test.”
Quote in the paperSubstantial claim- Rests on an assumption: The FIT component of the multi-target stool DNA test requires separate stool sampling by the patient because the EDTA stabilizing buffer for DNA interferes with the protein-based FIT assay and an assay platform different from that used for the DNA markers.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningSamples had gone through no more than one previous freeze-thaw cycle to minimize variation.
“To minimize variation in sample quality due to potential freeze–thaw artifact, samples had gone through no more than one previous freeze–thaw cycle.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMature hsa-miR-144-3p and hsa-miR-451a regulate erythropoiesis.
“Mature hsa-miR-144-3p (major product of precursor hsa-miR-144) and hsa-miR-451a regulate erythropoiesis.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] Dore LC, Amigo JD, Dos Santos CO, et al. A GATA-1-regulated microRNA locus essential for erythropoiesis. Proc Natl Acad Sci USA. 2008;105:3333–3338. source
- cites [25] Rasmussen KD, Simmini S, Abreu-Goodger C, et al. The miR-144/451 locus is required for erythroid homeostasis. J Exp Med. 2010;207:1351–1358. source
Checked before — its earlier verdict is held back until a new check runs.
Classified as probably not a substantial claim.
Study design and conductnone givenAll pathologies were reviewed by expert gastrointestinal pathologists.
“All pathologies were reviewed by expert gastrointestinal pathologists.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningCRC cases in both cohorts had been recruited from symptomatic patients in referral setting, and this early assessment may not be representative of performance in screening population.
“It is important to note that CRC cases in both cohorts had been recruited from symptomatic patients in the referral setting, and this early assessment of miRNA marker discrimination in stool may not be representative of performance in a screening population.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTranscription of this locus is regulated by hematopoietic transcription factor GATA-1.
“Transcription of this locus is regulated by hematopoietic transcription factor GATA-1 [24, 25].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [24] Dore LC, Amigo JD, Dos Santos CO, et al. A GATA-1-regulated microRNA locus essential for erythropoiesis. Proc Natl Acad Sci USA. 2008;105:3333–3338. source
- cites [25] Rasmussen KD, Simmini S, Abreu-Goodger C, et al. The miR-144/451 locus is required for erythroid homeostasis. J Exp Med. 2010;207:1351–1358. source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisereasoninghsa-miR-144-5p, being the minor product, is not known to play important roles in erythrocytes.
“hsa-miR-144-5p, being the minor product, is not known to play important roles in erythrocytes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataIn both sample sets, all stool samples met criteria of >1 μg extracted total RNA and >20% external control recovery.
“In both sample sets, all stool samples had met the criteria of above 1 µg in extracted total RNA amount and above 20% external control recovery efficiency.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationA multi-target stool test comprising DNA markers and FIT has been approved by FDA for CRC screening, incorporated into guidelines, and become available.
“A multi-target stool test, comprising a panel of DNA markers and FIT [9–11], has been approved by the Food and Drug Administration (FDA) for CRC screening, been incorporated into CRC screening guidelines by the American Cancer Society and United States Preventive Services Task Force [14, 15], and become available to patients.”
Quote in the paperSubstantial claim0 of 5 sources checked- cites [9] Imperiale TF, Ransohoff DF, Itzkowitz SH, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–1297. source
- cites [10] Lidgard GP, Domanico MJ, Bruinsma JJ, et al. Clinical performance of an automated stool DNA assay for detection of colorectal neoplasia. Clin Gastroenterol Hepatol. 2013;11:1313–1318. source
- cites [11] Redwood DG, Asay ED, Blake ID, et al. Stool DNA testing for screening detection of colorectal neoplasia in Alaska Native people. Mayo Clin Proc. 2016;91:61–70. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [14] Bibbins-Domingo K, Grossman DC, Curry SJ, et al. Screening for colorectal cancer: US preventive services task force recommendation statement. JAMA. 2016;315:2564–2575. source
- cites [15] El-Shami K, Oeffinger KC, Erb NL, et al. American cancer society colorectal cancer survivorship care guidelines. CA Cancer J Clin. 2015;65:428–455. source
Checked before — its earlier verdict is held back until a new check runs.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningSamples with less than 1 μg extracted total RNA were excluded from further analysis.
“Samples with less than 1 µg extracted total RNA could have insufficient analyte and were not further analyzed.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAge and gender were balanced between blood and colorectal epithelia groups in small RNA sequencing.
“Age and gender were balanced between groups.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningHigh abundance of miRNAs in erythrocytes and ability to quantify them by RT-qPCR render miRNAs as rational and appealing candidate class of markers for occult blood.
“Although depleted of DNA and large-sized RNAs, the high abundance of miRNAs in erythrocytes and the ability to quantify them by RT-qPCR approaches render miRNAs as rational and appealing candidate class of markers for occult blood.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationFIT is human-specific, not affected by dietary artifact, and detects primarily lower intestinal bleeding.
“FIT has been increasingly the FOBT of choice for CRC screening, as it is human-specific, not affected by dietary artifact, and detects primarily lower intestinal bleeding [3, 6, 7].”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [3] Ahlquist DA, Young GP. Approach to the patient with occult gastrointestinal bleeding. In: Yamada T, Alpers DH, eds. Principles of clinical gastroenterology. New York: Wiley; 2008:152–169. source
- cites [6] Harewood GC, McConnell JP, Harrington JJ, Mahoney DW, Ahlquist DA. Detection of occult upper gastrointestinal tract bleeding: performance differences in fecal occult blood tests. Mayo Clin Proc. 2002;77:23–28. source
- cites [7] Rockey DC, Auslander A, Greenberg PD. Detection of upper gastrointestinal blood with fecal occult blood tests. Am J Gastroenterol. 1999;94:344–350. source
Classified as probably not a substantial claim.
InterpretationreasoningmiRNA that indicates presence of blood could be assayed from stool by a PCR-based platform without modification of collection device or FDA-approved nucleic acid buffer.
“Conceptually, miRNA that indicates the presence of blood could be assayed from stool by a PCR-based platform, without modification of collection device or FDA-approved nucleic acid buffer.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenFor any combination of two group comparisons, minimum detectable AUC from null 0.5 is 0.69 assuming group sizes of 30 or more and 80% power with one-sided .05.
“For any combination of two group comparisons, the minimum detectable AUC from the null value of 0.5 is 0.69 assuming group sizes of 30 or more and 80% power with a one-sided test of significance of .05.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationcitationObserved detection rates for advanced precancers were lower than those reported for FIT with advanced conventional adenomas and similar to those reported with SSAs.
“observed detection rates for these advanced precancers were lower than those reported for FIT with advanced conventional adenomas [9, 11, 26] and similar to those reported with SSAs [9, 11, 13].”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [9] Imperiale TF, Ransohoff DF, Itzkowitz SH, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–1297. source
- cites [11] Redwood DG, Asay ED, Blake ID, et al. Stool DNA testing for screening detection of colorectal neoplasia in Alaska Native people. Mayo Clin Proc. 2016;91:61–70. source
Checked before — its earlier verdict is held back until a new check runs.
- cites [26] Park DI, Ryu S, Kim YH, et al. Comparison of guaiac-based and quantitative immunochemical fecal occult blood testing in a population at average risk undergoing colorectal cancer screening. Am J Gastroenterol. 2010;105:2017–2025. source
- cites [13] Heigh RI, Yab TC, Taylor WR, et al. Detection of colorectal serrated polyps by stool DNA testing: comparison with fecal immunochemical testing for occult blood (FIT). PLoS ONE. 2014;9:e85659. source
Checked before — its earlier verdict is held back until a new check runs.
Classified as probably not a substantial claim.
PremisecitationThe FDA-approved multi-target stool DNA test combines FIT and a DNA marker panel.
“The FDA-approved multi-target stool DNA test combines FIT and a DNA marker panel [9, 11].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [9] Imperiale TF, Ransohoff DF, Itzkowitz SH, et al. Multitarget stool DNA testing for colorectal-cancer screening. N Engl J Med. 2014;370:1287–1297. source
- cites [11] Redwood DG, Asay ED, Blake ID, et al. Stool DNA testing for screening detection of colorectal neoplasia in Alaska Native people. Mayo Clin Proc. 2016;91:61–70. source
Checked before — its earlier verdict is held back until a new check runs.
Classified as probably not a substantial claim.
Study design and conductreasoningModeling was not performed on exploratory set to avoid over-fitting.
“It should be noted that this modeling was not performed to exploratory set to avoid over-fitting of data in a small sample size.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown datamiRNA expression was normalized to hsa-miR-30e-3p, which was identified in small RNA sequencing as most consistent with global mean of all miRNA reads.
“miRNA expression was calculated by comparative Cq method normalized to hsa-miR-30e-3p, which, in small RNA sequencing, was identified to be most consistent to the global mean of all miRNA reads.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThis would obviate need for separate stool sampling, simplify patient experience, and reduce material costs.
“This would obviate the need for separate stool sampling, simplify the patient experience, and reduce material costs of the stool collection kit and assay process.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenRT-qPCR on each clinical stool sample was performed once by an investigator blinded to clinical information.
“RT-qPCR on each clinical stool sample was performed once, by investigator who was blinded to samples’ clinical information.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was approved by Mayo Clinic IRB.
“The study was approved by the Mayo Clinic Internal Review Board.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataCandidate markers are generally human-specific and are stable in stool with use of preservation buffers.
“Candidate markers are generally human-specific and are stable in stool with use of preservation buffers.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The FIT component of the multi-target stool DNA test requires separate stool sampling by the patient because the EDTA stabilizing buffer for DNA interferes with the protein-based FIT assay and an assay platform different from that used for the DNA markers.
“The FIT component of this multi-target test currently requires separate stool sampling by the patient, as the EDTA stabilizing buffer for DNA interferes with the protein-based FIT assay, and an assay platform different from that used for the DNA markers.”
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- Authors
- Wu, C. W., Cao, X., Berger, C. K., Foote, P. H., Mahoney, D. W., Simonson, J. A., Anderson, B. W., Yab, T. C., Taylor, W. R., Boardman, L. A., Kisiel, J. B., & Ahlquist, D. A.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Ahlquist, David A.
- ORCID
- Venue
- Digestive Diseases and Sciences
- Published
- 2017-06-28
- Volume
- 62
- Issue
- 8
- Pages
- 1985-1994
- ISSN
- 0163-2116 (ISSN-L)
- 1573-2568
- PMC
- PMC6021130
- OpenAlex
- W2728396909
- Semantic Scholar
- 2f5f14be961fde4fce9804db11a5ee4290d44992
- Cited by
- 37
- References
- 27
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 5 · 2023: 5 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 4 · 2018: 1 · 2017: 2
- FWCI
- 1.21
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Digestive Diseases and Sciences (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Mayo Clinic
- Exact Sciences
- Clinical Core of Mayo Clinic Center for Cell Signaling in Gastroenterology (P30DK084567)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Health Sciences › Medicine › Oncology › Colorectal Cancer Screening and Detection
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Molecular Biology Techniques and Applications
- Keywords
- fecal occult blood test, microRNA biomarkers, colorectal cancer detection, colorectal adenoma, small RNA sequencing
- MeSH terms
- Erythrocytes, Feasibility Studies, Feces, Humans, Intestinal Mucosa, Occult Blood, Prospective Studies, Sensitivity and Specificity, Biomarkers, Tumor, Colorectal Neoplasms, Case-Control Studies, Sequence Analysis, RNA, MicroRNAs, Real-Time Polymerase Chain Reaction
About these checks
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.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-11-06.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-11-06.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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