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Updated: Oct 6, 2025

Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
Clinical Pan-Cancer Assessment of Mismatch Repair Deficiency Using Tumor-Only, Targeted Next-Generation Sequencing
Adem Albayrak1, Ana C Garrido-Castro2,3, Marios Giannakis2,3,4
1Informatics and Analytics Department, Dana-Farber Cancer Institute, Boston, MA.
Purpose:
Given regulatory approval of immune checkpoint inhibitors in patients with mismatch repair-deficient (MMR-D) cancers agnostic to tumor type, it has become important to characterize occurrence of MMR-D and develop cost-effective screening approaches. Using a next-generation sequencing (NGS) panel (OncoPanel), we developed an algorithm to identify MMR-D frequency in tumor samples and applied it in a clinical setting with pathologist review.
Methods:
To predict MMR-D, we adapted methods described previously for use in NGS panels, which assess patterns of single base-pair insertion or deletion events occurring in homopolymer regions. Tumors assayed with OncoPanel between July 2013 and July 2018 were included. For tumors tested after June 2017, sequencing results were presented to pathologists in real time for clinical MMR determination, in the context of tumor mutation burden, other mutational signatures, and clinical data.
Results:
Of 20,301 tumors sequenced, 2.7% (553) were retrospectively classified as MMR-D by the algorithm. Of 4,404 samples with pathologist sign-out of MMR status, the algorithm classified 147 (3.3%) as MMR-D: in 116 cases, MMR-D was confirmed by a pathologist, five cases were overruled by the pathologist, and 26 were assessed as indeterminate. Overall, the highest frequencies of OncoPanel-inferred MMR-D were in endometrial (21%; 152/723), colorectal (9.7%; 169/1,744), and small bowel (9.3%; 9/97) cancers. When algorithm predictions were compared with historical MMR immunohistochemistry or polymerase chain reaction results in a set of 325 tumors sequenced before initiation of pathologist assessment, the overall sensitivity and specificity of the algorithm were 91.1% and 98.2%, respectively.
Conclusion:
We show that targeted, tumor-only NGS can be leveraged to determine MMR signatures across tumor types, suggesting that broader biomarker screening approaches may have clinical value.
Insights
Next-generation sequencing (NGS) effectively identifies mismatch repair-deficient (MMR-D) tumors, enabling broader biomarker screening for cancer patients. This cost-effective approach aids in selecting patients for immune checkpoint inhibitor therapy.
Area of Science:
- Oncology
- Genomics
- Biomarker Discovery
Background:
- Immune checkpoint inhibitors are approved for mismatch repair-deficient (MMR-D) cancers.
- Characterizing MMR-D occurrence and developing cost-effective screening are crucial.
Purpose of the Study:
- Develop and apply a next-generation sequencing (NGS) algorithm to identify MMR-D frequency in tumor samples.
- Integrate NGS-based MMR-D detection into clinical pathology workflows.
Main Methods:
- Adapted existing methods to detect MMR-D signatures (homopolymer indel patterns) using an NGS panel (OncoPanel).
- Applied the algorithm to 20,301 tumor samples, with real-time pathologist review for samples processed after June 2017.
- Assessed algorithm performance against historical MMR testing methods.
Main Results:
- The algorithm retrospectively identified MMR-D in 2.7% of 20,301 tumors.
- In clinical application, the algorithm flagged 3.3% of 4,404 samples as MMR-D, with pathologist confirmation in 116 cases.
- Highest MMR-D frequencies were observed in endometrial (21%), colorectal (9.7%), and small bowel (9.3%) cancers.
- Algorithm demonstrated high sensitivity (91.1%) and specificity (98.2%) compared to historical MMR testing.
Conclusions:
- Targeted, tumor-only NGS can reliably determine MMR signatures across diverse cancer types.
- Broader biomarker screening using NGS for MMR-D has significant clinical value for patient selection.
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