Skip to main content
Hereditary Cancer in Clinical Practice logoLink to Hereditary Cancer in Clinical Practice
. 2026 Apr 18;24:12. doi: 10.1186/s13053-026-00339-w

Impact of germline MMR gene variants on immune checkpoint inhibitors response in patients with MSI-H/dMMR digestive cancers: a retrospective cohort analysis

Antoine Dardenne 1,2,3,✉,#, Camille Loisel 1,#, Anna Pellat 4,5,6, Alexandre Perrier 2, Julie Metras 2, Thomas Samaille 1, Yann Parc 3, Julie Leclerc 7,8, Romain Cohen 1,9, Thierry André 1,9
PMCID: PMC13224413  PMID: 42001099

Abstract

Immune checkpoint inhibitors (ICIs) have transformed outcomes in microsatellite instability-high (MSI-H) deficient mismatch repair (dMMR) cancers. The influence of germline MMR gene variants on ICI remains unclear. In this single-center study, 93 patients with Lynch syndrome-associated MSI-H/dMMR digestive cancers received ICI monotherapy or combination therapy. Germline MMR variants were classified, and progression-free survival (PFS) was evaluated by gene and variant type. Most patients carried MLH1 or MSH2 variants. At 24 months, estimated PFS was 81.5% for MLH1, 67.2% for MSH2/EPCAM, and 78.6% for MSH6, with no PFS events in MLH1 promoter methylation or PMS2 subgroups. No statistically significant differences in PFS were observed between gene groups. Performance status ≥ 2 was the only factor associated with poorer PFS. Neither MMR gene type nor variant class significantly influenced ICI efficacy in Lynch syndrome-related MSI-H/dMMR digestive cancers, supporting the use of ICIs regardless of germline MMR genotype.

Keywords: Lynch syndrome, MSI-H/dMMR, Digestive cancers, Immune checkpoint inhibitors, Germline MMR variants, Immunotherapy response

Introduction

Immune checkpoint inhibitors (ICIs) have substantially improved clinical outcomes of patients with microsatellite instability-high (MSI-H)/deficient mismatch repair (dMMR) cancers [1, 2]. Nevertheless, a proportion of patients experience primary resistance, and others develop acquired resistance despite an initial response [3]. This variability underscores a critical need for predictive biomarkers to optimize treatment selection while balancing efficacy and toxicity. Several candidate markers have been investigated. Notably, PD-L1 expression and BRAF mutations have not been associated with improved ICI response. Although tumor mutational burden (TMB) has shown consistent predictive value in some studies, diagnostic variability, particularly in immunohistochemistry assessment, may affect its reliability [4]. Omics-based signatures are promising [5, 6] but require further validation. Moreover, germline genetic data remain limited or incomplete in most studies evaluating ICIs.

Interestingly, MSI-H tumors arising in patients carrying a germline pathogenic variant in one of the MMR genes may be more responsive to ICIs than sporadic MSI-H tumors [3, 7, 8]. Furthermore, both the type of gene alteration and the mechanism of gene inactivation (mutation versus promoter hypermethylation) have been shown to impact overall survival (OS) in patients treated with ICIs [7]. However, data on gene-specific effects on immunotherapy response remain limited. This study aimed to evaluate ICI efficacy according to MMR gene and variant type in Lynch syndrome-associated MSI-H/dMMR digestive cancers.

Methods

Study design and cohort

This study is a retrospective analysis of a prospective single-center cohort from Saint-Antoine Hospital, Paris. The study population included all patients with MSI-H/dMMR digestive cancers treated with an anti- Programmed cell Death protein-1 (PD1) monotherapy or combined anti-PD-1 and anti-CTLA-4 ICI at Saint-Antoine Hospital between February 2015 and April 2024. MSI-H/dMMR status was determined locally using immunohistochemistry and multiplex polymerase chain reaction. A total of 260 patients were enrolled in the ImmunoMSI cohort. After excluding 167 patients without confirmed germline pathogenic variant, 93 patients with molecularly confirmed Lynch syndrome were included in the final analysis.

Data collection and ethical considerations

Data were extracted from the ImmunoMSI database and from patients’ medical records. Pathogenic and likely pathogenic variants were classified into four categories by a specialist in molecular and medical genetics at Pitié Salpêtrière Hospital (APHP): missense/indel phase, splicing variants, large genomic rearrangement, and truncating variants (nonsense and frameshift). Variant interpretation followed the American College of Medical Genetics and Genomics (ACMG) guidelines. The database was approved by the ethics committee (CER-2024-AMARA-ImmunoMSI - MS1.0-00267). Non-objection for the use of routine care data and database information was obtained from all patients, except those deceased. The cohort study was approved by the ethics committee (N°2020 – CER 2020-6).

Statistical analysis and definitions

Data analysis was performed using Rstudio software (version 1.2.5033). Categorical variables were summarized as counts and percentages, and continuous variables as means with standard deviations or medians with interquartile ranges, along with their range. Progression-free survival (PFS) was defined as the time between the start of treatment with ICIs and the occurrence of disease progression or death. Radiologic response was assessed by expert radiologists according to Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 and immune (iRECIST). Survival analyses were performed using the Kaplan-Meier method. Associations between predefined variables and PFS were evaluated using Cox proportional hazards models. The following parameters were assessed for their impact on ICI response: age, sex, liver and peritoneal metastases, performance status (PS; PS 0/1 versus PS ≥ 2) at treatment initiation, type of ICI regimen (monotherapy versus dual blockade), the presence of mutations (MLH1, MSH2/EPCAM, MSH6, PMS2, or constitutional MLH1 epimutation), type of germline alteration (sequence variants: missense/indel, splicing variants, large rearrangement, truncating variants; and constitutional MLH1 promoter hypermethylation), and treatment setting (first-line treatment versus chemotherapy with or without targeted therapy). A two-sided p value < 0.05 was considered statistically significant.

Outcome measure

The objective of this study was to evaluate 2-year PFS following ICIs treatment in patients with Lynch syndrome-associated MSI-H/dMMR digestive cancers, according to the affected MMR gene (MLH1, MSH2/EPCAM, MSH6, or PMS2) and the type of germline variant type.

Results

The final study population included 93 patients with MSI-H/dMMR metastatic digestive cancers. Most patients were male (67%) and had colorectal cancer (83%). Nearly half carried a pathogenic variant in MSH2 (47%; Table 1). Fifty-two patients received anti-PD-1 or anti-PD-L1 monotherapy, and 41 received combined anti-PD-1 and anti-CTLA-4 therapy. The median follow-up from ICI initiation to last contact or death was 47.8 months.

Table 1.

Baseline characteristics of patients with Lynch syndrome–associated MSI-H/dMMR digestive cancers (N = 93)

Median age N = 93 N/93 (%)
62 -
Sex
Male 62 67
Female 31 33
Primary tumor
Colorectal 78 83
Pancreas 4 4
Stomach 4 4
Small intestine 6 6
Bile ducts 1 1
Gene
MLH1 28 30
MSH2/EPCAM 44 47
MSH6 14 15
PMS2 4 4
MLH1 Promoter Methylation 3 4

Personal history of Lynch spectrum cancer prior

to ICIs treated metastatic cancer

39 42
Epigenetic mechanism
MLH1 promoter methylation 3 3
Type of pathogenic variant
Missense 19 21
Splicing 20 22
Large rearrangement 14 15
Truncating 30 34
Missing data 7 8
MMR status
pMMR 2 2
dMMR 91 98
MSI status
MSI High 71 76
Missing data 22 24

According to iRECIST criteria, most patients achieved either a partial response (41%) or a complete response (32%). Stable disease was observed in 12% and primary progressive disease in 15%. Among the 28 patients who progressed on ICIs, 7 of 11 patients with stable disease later progressed (63.6%), and 7 of 38 patients with a partial response progressed (18.4%). Notably, no progression event occurred among the 30 patients who achieved a complete response.

At 24 months, the estimated PFS was 81.5% (95% CI 68.0–97.6) for MLH1, 67.2% (95% CI 54.5–82.9) for MSH2/EPCAM, and 78.6% (95% CI 59.8–100) for MSH6. No PFS events were observed in the MLH1 promoter methylation or PMS2 subgroups within the first two years of follow-up (Fig. 1). Thirty patients were censored at data cutoff, including 28 who progressed after 24 months and two who had not yet reached 24-month follow-up. Objective responses were observed across tumor sites, with no apparent signal of differential efficacy, although subgroup sizes were small.

Fig. 1.

Fig. 1

Estimated 2-year progression-free survival by MMR gene group. Bars represent the 24-month PFS for patients with MLH1, MSH2/EPCAM, MSH6, PMS2, and MLH1 promoter methylation (PM_MLH1). Error bars indicate 95% confidence intervals

Using MLH1 as the reference group, there was no statistically significant difference in PFS according to the affected gene (MSH2/EPCAM: p = 0.1; MSH6: p = 0.7), and no PFS events occurred in the MLH1 promoter methylation or PMS2 groups (Fig. 1). Multivariate analysis did not reveal any significant differences in PFS, which was not reached in any subgroup (Table 2). Two tumors were pMMR by IHC but MSI by pentaplex, both harboring a pathogenic missense germline MSH2 variant and responding to ICI.

Table 2.

Univariate and multivariate analysis of factors associated with progression-free survival

Univariate analysis MULTIVARIATE ANALYSIS p-value
HR (IC 95%) p HR (IC 95%)
Type of gene (Ref = MLH1)

MSH2/EPCAM

MSH6

PMS2

MLH1 promoter methylation

2.1 (0.8–5.3)

1.3 (0.4–4.5)

1.2 (0.1–10.3)

< 0.1

0.1

0,7

0,8

1

3.0 (0.7–12.0)

2.2 (0.4–11.6)

0.3 (0.01–8.4)

NA

0.1

0.4

0.5

NA

Age (Ref: < 50 years)
50-70> 70 years

1.7 (0.7–3.9)

2.6 (0.8-8.0)

0.3

0,09

2.6 (0.9–7.6)

2.6 (0.5–14.0)

0.09

0.3

Liver metastasis 0.9 (0.5-2.0) 0.9 1.6 (0.6–4.7) 0.4
Peritoneal carcinosis 0.8 (0.4–1.7) 0.5 1.0 (0.3-3.0) 1
PS ≥ 2 5.7 (2.0-16.8) 0.001* 4.5 (0.7–31.2) 0.10
Male 1.4 (0.6–3.3) 0.4 1.8 (0.6–5.5) 0.319
≥ second-line treatment 1.5 (0.6–3.9) 0.4 2.9 (0.8–10.5) 0.1

Type of ICI (Ref: Combination therapy)

Monotherapy

2.0 (0.9–4.4) 0.09 2.1 (0.8–5.3) 0.1
Type of mutation (Ref: Missense)

Splicing

Large rearrangement

Truncating

0.4 (0.1–1.5)

1.5 (0.5–4.5)

0.6 (0.2–1.7)

0.2

0.5

0.4

0.4 (0.08–1.6)

1.7 (0.4–7.7)

0.4 (0.1–1.6)

0.2

0.5

0.2

Only PS ≥ 2 was associated with worse PFS in univariate analysis (HR 5.7, 95% CI 2.0–16.8, p = 0.001), although this association did not remain significant in multivariate analysis (HR 4.5, 95% CI 0.7–31.2, p = 0.10).

Discussion

In our series, patients with constitutional MLH1 epimutation, MSH6, or PMS2 variants demonstrated response rates comparable to those observed in other Lynch syndrome carriers. Previous studies showed that loss of MSH6, through disruption of the MutSα complex, may lead to the development of less immunogenic tumors [9], characterized by a distinct mutational profile enriched in single-nucleotide variants. Other reports have described reduced immune cell infiltration in tumors with isolated PMS2 loss [10], and lower TMB [11], suggesting that immunogenicity may vary depending on the affected MMR gene [12].

The strengths of this study include its long median follow-up, expert validation of all germline variant, and size of the cohort, which represents the largest known series reported to date. Limitations include the heterogeneity of tumor types and treatment regimens. In addition, variant classification was not available for seven patients followed in external genetic laboratories; although germline pathogenicity was confirmed clinically, detailed variant nomenclature could not be retrieved.

In a recent poster presentation, Randrian et al. [7] showed that tumors with MLH1 epimutation or isolated loss of PMS2 were associated with shorter OS in two large pan-cancer cohorts (MSKCC, n = 1,958 and Caris, n = 13,421). However, isolated PMS2 loss in immunohistochemistry may result from heterogeneous or undetected MLH1 promoter hypermethylation rather than a true Lynch syndrome-related defect [13]. The authors also highlighted that Lynch syndrome remains the major prognostic factor associated with MSI-H status, regardless of the affected MMR gene. These findings suggest that while the mechanism of MMR inactivation may influence ICIs response, their specific impact in the germline setting requires dedicated analyses such as the presented study.

External validity is supported by the consistency of our findings with data from a Chinese cohort [14], and additional data presented by Randrian et al. at the 2025 American Society of Clinical Oncology meeting [15], neither of which demonstrated significant differences in ICIs response according to the affected gene (MLH1, MSH2, or MSH6). In the Dana-Farber series, PFS among PMS2-associated MSI-H tumors was 41 months, compared with not reached for other Lynch-associated MMR variants; however, the PMS2 subgroup included only six patients. In the Chinese cohort, none of the three PMS2 carriers achieved a partial or complete response, limiting interpretation.

These findings are consistent with recent data reported by Randrian et al. [7] indicating that PMS2-only and MSH6-only tumors are less frequently MSI-H, particularly in cancer types not typically associated with Lynch syndrome. However, next-generation sequencing has shown limited sensitivity for MSI detection in extra-colorectal and extra-endometrial tumors, with 310 dMMR cases misclassified as MSS among 1.995 tumors [16]. These limitations underline the need for more sensitive and accurate molecular tools, such as MSI Sensor, which shows performance comparable to the pentaplex assay [17], particularly for MSH6-deficient tumors [18].

Conclusion

Currently, neither the specific MMR gene involved nor the type of germline variant appears to predict differential response to ICIs, and these factors cannot be used to guide the choice between monotherapy and combination therapy.

Acknowledgements

The authors thank Magdalena Benetkiewicz, Sc.D., for the editorial assistance (founded by AROSAT) and the Unité de Recherche Clinique de l’Est Parisien (URC-EST), APHP for database constitution and methodological advising.

Author contributions

Antoine Dardenne: Conceptualization, Methodology, Supervision, Writing – Original Draft. Camille Loisel: Data Collection.Anna Pellat: Formal Analysis, Conceptualization, Methodology, Supervision. Alexandre Perrier: Data Collection, Methodology, Data Curation. Julie Metras: Data Collection, Data Curation, Writing – Review & Editing. Thomas Samaille: Writing – Review & Editing. Yann Parc: Writing – Review & Editing. Julie Leclerc: Writing – Review & Editing. Romain Cohen: Writing – Review & Editing. Thierry André: Conceptualization, Methodology, Writing – Review & Editing, Supervision.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data availability

These data are available upon reasonable request to the authors.

Declarations

Ethical approval

The database was approved by the ethics committee (CER-2024-AMARA-ImmunoMSI - MS1.0-00267). The cohort study was approved by the ethics committee (N°2020 – CER 2020-6).

Competing interests

Anna Pellat has received consulting fees from Servier, MSD, Amgen, and Merck; a travel grant from Ipsen and Merck; and has a non-remunerated interest as a member of the Fondation Française de Cancérologie Digestive, Groupe des Tumeurs Neuroendocrines, and the ESMO Real-World Data and Digital Health Group. Thomas Samaille has received honoraria and congress fees from Merck Serono. Roman Cohen has received honoraria from AstraZeneca/Daiichi Sankyo, Bristol-Myers Squibb, MSD Oncology, and Servier, as well as congress and travel fees from Bristol-Myers Squibb, MSD Oncology, and Servier. Thierry Andre has received consulting fees or honoraria from AbbVie, Aptitude Health, Biocartis, Bristol-Myers Squibb, GlaxoSmithKline, MSD Co., Inc., Medicenna, Nimbus, Sanofi, Seagen, Servier, Takeda, and Pfizer. He has also served as a data monitoring committee member for Inspirna and received support for meetings from Bristol-Myers Squibb, Merck & Co. Inc., and Takeda. All other authors declare no competing interests.

Footnotes

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Antoine Dardenne and Camille Loisel contributed equally to this work.

References

  • 1.André T, Shiu KK, Kim TW, Jensen BV, Jensen LH, Punt C, et al. Pembrolizumab in microsatellite-instability–high advanced colorectal cancer. N Engl J Med. 2020;383(23):2207–18. [DOI] [PubMed] [Google Scholar]
  • 2.André T, Elez E, Lenz HJ, Jensen LH, Touchefeu Y, Van Cutsem E, et al. Nivolumab plus ipilimumab versus nivolumab in microsatellite instability-high metastatic colorectal cancer (CheckMate 8HW): a randomised, open-label, phase 3 trial. Lancet. 2025;405(10476):383–95. [DOI] [PubMed] [Google Scholar]
  • 3.Johannet P, Rousseau B, Aghajanian C, Foote MB, Diaz LA. Therapeutic targeting of mismatch repair-deficient cancers. Nat Rev Clin Oncol. 2025;22(10):734–59. [DOI] [PubMed] [Google Scholar]
  • 4.Manca P, Corti F, Intini R, Mazzoli G, Miceli R, Germani MM, et al. Tumour mutational burden as a biomarker in patients with mismatch repair deficient/microsatellite instability-high metastatic colorectal cancer treated with immune checkpoint inhibitors. Eur J Cancer. 2023;187:15–24. [DOI] [PubMed] [Google Scholar]
  • 5.Gallois C, Landi M, Taieb J, Sroussi M, Saberzadeh-Ardestani B, Cazelles A, et al. Transcriptomic signatures of MSI-high metastatic colorectal cancer predict efficacy of immune checkpoint inhibitors. Clin Cancer Res. 2023;29(18):3771–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Ratovomanana T, Nicolle R, Cohen R, Diehl A, Siret A, Letourneur Q, et al. Prediction of response to immune checkpoint blockade in patients with metastatic colorectal cancer with microsatellite instability. Ann Oncol. 2023;34(8):703–13. [DOI] [PubMed] [Google Scholar]
  • 7.Randrian V, et al. The mechanism of mismatch repair deficiency informs survival outcomes derived from immune checkpoint blockade across MMRd solid tumors. Poster presented at: ESMO Congress 2025; 2025 Oct 17–21; Berlin, Germany.
  • 8.Colle R, Lonardi S, Cachanado M, Overman MJ, Elez E, Fakih M, et al. BRAF V600E/ RAS mutations and lynch syndrome in patients With MSI-H/dMMR metastatic colorectal cancer treated with immune checkpoint inhibitors. Oncologist. 2023;28(9):771–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Helderman NC, Strobel F, Bohaumilitzky L, Terlouw D, Van Der Werf ’T, Lam AS, Van Wezel T, et al. Lower degree of microsatellite instability in colorectal carcinomas from MSH6-associated lynch syndrome patients. Mod Pathol. 2025;38(7):100757. [DOI] [PubMed] [Google Scholar]
  • 10.Bajwa -T, Broeke SW, Ballhausen A, Ahadova A, Suerink M, Bohaumilitzky L, Seidler F, et al. The coding microsatellite mutation profile of PMS2-deficient colorectal cancer. Experimental Mol Pathol ct. 2021;122:104668. [DOI] [PubMed] [Google Scholar]
  • 11.Salem ME, Bodor JN, Puccini A, Xiu J, Goldberg RM, Grothey A, et al. Relationship between MLH1, PMS2, MSH2 and MSH6 gene-specific alterations and tumor mutational burden in 1057 microsatellite instability‐high solid tumors. Intl J Cancer. 2020;147(10):2948–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Khushman MM, Toboni MD, Xiu J, Manne U, Farrell A, Lou E, et al. Differential responses to immune checkpoint inhibitors are governed by diverse mismatch repair gene alterations. Clin Cancer Res. 2024;30(9):1906–15. [DOI] [PubMed] [Google Scholar]
  • 13.Kato A, Sato N, Sugawara T, Takahashi K, Kito M, Makino K, et al. Isolated Loss of PMS2 immunohistochemical expression is frequently caused by heterogenous MLH1 promoter hypermethylation in lynch syndrome screening for endometrial cancer patients. Am J Surg Pathol. 2016;40(6):770–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Yu JH, Xiao BY, Tang JH, Li DD, Wang F, Ding Y, et al. Efficacy of PD-1 inhibitors for colorectal cancer and polyps in Lynch syndrome patients. Eur J Cancer. 2023;192:113253. [DOI] [PubMed] [Google Scholar]
  • 15.Randrian V, Artz O, Abbass M, Harrold E, Foote MB, Cercek A, et al. Gene-specific outcomes in patients with Lynch syndrome treated by immune checkpoint blockade for advanced cancer. JCO. 2025;43(16suppl):10504–10504. [Google Scholar]
  • 16.Ali-Fehmi R, Krause HB, Morris RT, Wallbillich JJ, Corey L, Bandyopadhyay S, et al. Analysis of concordance between next-generation sequencing assessment of microsatellite instability and immunohistochemistry-mismatch repair from solid tumors. JCO Precis Oncol. 2024;(8):e2300648. [DOI] [PMC free article] [PubMed]
  • 17.Ratovomanana T, Cohen R, Svrcek M, Renaud F, Cervera P, Siret A, et al. Performance of next-generation sequencing for the detection of microsatellite instability in colorectal cancer with deficient DNA mismatch repair. Gastroenterol sept. 2021;161(3):814–e8267. [DOI] [PubMed] [Google Scholar]
  • 18.You JF, Buhard O, Ligtenberg MJL, Kets CM, Niessen RC, Hofstra RMW, et al. Tumours with loss of MSH6 expression are MSI-H when screened with a pentaplex of five mononucleotide repeats. Br J Cancer. 2010;103(12):1840–5. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

These data are available upon reasonable request to the authors.


Articles from Hereditary Cancer in Clinical Practice are provided here courtesy of BMC

RESOURCES