The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Microsatellite instability status determined by next‐generation sequencing and compared with PD‐L1 and tumor mutational burden in 11,348 patients
Open accessAbstract
Microsatellite instability (MSI) testing identifies patients who may benefit from immune checkpoint inhibitors. We developed an MSI assay that uses data from a commercially available next‐generation sequencing (NGS) panel to determine MSI status. The assay is applicable across cancer types and does not require matched samples from normal tissue. Here, we describe the MSI‐NGS method and explore the relationship of MSI with tumor mutational burden (TMB) and PD‐L1. MSI examined by PCR fragment analysis and NGS was compared for 2189 matched cases. Mismatch repair status by immunohistochemistry was compared to MSI‐NGS for 1986 matched cases. TMB was examined by NGS, and PD‐L1 was determined by immunohistochemistry. Among 2189 matched cases that spanned 26 cancer types, MSI‐NGS, as compared to MSI by PCR fragment analysis, had sensitivity of 95.8% (95% confidence interval [CI] 92.24, 98.08), specificity of 99.4% (95% CI 98.94, 99.69), positive predictive value of 94.5% (95% CI 90.62, 97.14), and negative predictive value of 99.2% (95% CI, 98.75, 99.57). High MSI (MSI‐H) status was identified in 23 of 26 cancer types. Among 11,348 cases examined (including the 2189 matched cases), the overall rates of MSI‐H, TMB‐high, and PD‐L1 positivity were 3.0%, 7.7%, and 25.4%, respectively. Thirty percent of MSI‐H cases were TMB‐low, and only 26% of MSI‐H cases were PD‐L1 positive. The overlap between TMB, MSI, and PD‐L1 differed among cancer types. Only 0.6% of the cases were positive for all three markers. MSI‐H status can be determined by NGS across cancer types. MSI‐H offers distinct data for treatment decisions regarding immune checkpoint inhibitors, in addition to the data available from TMB and PD‐L1.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
PD-1 Blockade in Tumors with Mismatch-Repair Deficiency
Le, D. T., Uram, J. N., Wang, H., Bartlett, B. R., Kemberling, H., Eyring, A. D., Skora, A. D., Luber, B. S., Azad, N. S., Laheru, D., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1500596 · Cited by 9,377
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Mismatch repair deficiency predicts response of solid tumors to PD-1 blockade
Le, D. T., Durham, J. N., Smith, K. N., Wang, H., Bartlett, B. R., Aulakh, L. K., Lu, S., Kemberling, H., Wilt, C., Luber, B. S., et al. (2017) · Science · doi:10.1126/science.aan6733 · Cited by 6,645
Self-citationPembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
Garon, E. B., Rizvi, N. A., Hui, R., Leighl, N., Balmanoukian, A. S., Eder, J. P., Patnaik, A., Aggarwal, C., Gubens, M., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501824 · Cited by 6,198
Analysis of 100,000 human cancer genomes reveals the landscape of tumor mutational burden
Chalmers, Z. R., Connelly, C. F., Fabrizio, D., Gay, L., Ali, S. M., Ennis, R., Schrock, A., Campbell, B., Shlien, A., Chmielecki, J., et al. (2017) · Genome Medicine · doi:10.1186/s13073-017-0424-2 · Cited by 3,519
Zehir, A., Benayed, R., Shah, R. H., Syed, A., Middha, S., Kim, H. R., Srinivasan, P., Gao, J., Chakravarty, D., Devlin, S. M., et al. (2017) · Nature Medicine · doi:10.1038/nm.4333 · Cited by 3,380 · cited 1×
“Nextgeneration sequencing (NGS) was recently found to be feasible to determine MSI status, but the published techniques require the use of paired tumor and normal tissue [3, 6].”
BackgroundOverman, M. J., McDermott, R., Leach, J. L., Lonardi, S., Lenz, H.-J., Morse, M. A., Desai, J., Hill, A., Axelson, M., Moss, R. A., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30422-9 · Cited by 2,836
PD-L1 expression as a predictive biomarker in cancer immunotherapy
Patel, S. P., & Kurzrock, R. (2015) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-14-0983 · Cited by 2,291
Cited by
Tumor Mutational Burden as a Predictive Biomarker in Solid Tumors
Sha, D., Jin, Z., Budczies, J., Kluck, K., Stenzinger, A., & Sinicrope, F. A. (2020) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-0522 · Cited by 859
Immune checkpoint therapy for solid tumours: clinical dilemmas and future trends
Sun, Q., Hong, Z., Zhang, C., Wang, L., Han, Z., & Ma, D. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01522-4 · Cited by 598
Molecular characterization of cancers with NTRK gene fusions
Gatalica, Z., Xiu, J., Swensen, J., & Vranic, S. (2019) · Modern Pathology · doi:10.1038/s41379-018-0118-3 · Cited by 486
Self-citationThe current state of molecular testing in the treatment of patients with solid tumors, 2019
El‐Deiry, W. S., Goldberg, R. M., Lenz, H., Shields, A. F., Gibney, G. T., Tan, A. R., Brown, J., Eisenberg, B., Heath, E. I., Phuphanich, S., et al. (2019) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21560 · Cited by 264
Self-citationMolecular Characterization of KRAS Wild-type Tumors in Patients with Pancreatic Adenocarcinoma
Philip, P. A., Azar, I., Xiu, J., Hall, M. J., Hendifar, A. E., Lou, E., Hwang, J. J., Gong, J., Feldman, R., Ellis, M., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-3581 · Cited by 191
Self-citation
Metadata
- Authors
- Vanderwalde, A., Spetzler, D., Xiao, N., Gatalica, Z., & Marshall, J.
- Venue
- Cancer Medicine
- Publisher
- Wiley
- Published
- 2018-02-13
- Volume
- 7
- Issue
- 3
- Pages
- 746-756
- ISSN
- 2045-7634 (ISSN-L)
- OpenAlex
- W2790164909
- Cited by
- 458
- References
- 11
- FWCI
- 34.87
- Type
- journal article
- Language
- en
- Open access
- gold
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.
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Microsatellite instability status determined by next‐generation sequencing and compared with PD‐L1 and tumor mutational burden in 11,348 patients. https://app.cochat.ai/papers/10.1002/cam4.1372
- The paper
- Vanderwalde, A., Spetzler, D., Xiao, N., Gatalica, Z., & Marshall, J. (2018). Microsatellite instability status determined by next‐generation sequencing and compared with PD‐L1 and tumor mutational burden in 11,348 patients. Cancer Medicine. https://doi.org/10.1002/cam4.1372
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
