Evidence map›Paper›PMID 34667028›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2022

Morphologic and Genomic Characteristics of Breast Cancers Occurring in Individuals with Lynch Syndrome.

Christopher J Schwartz, Edaise M da Silva, Antonio Marra, Andrea M Gazzo, Pier Selenica, Vikas K Rai, Diana Mandelker, Fresia Pareja, Maksym Misyura, Timothy M D'Alfonso and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 30 citations in OpenAlex.

  1. The immunology of human breast cancer.Nature reviews. Immunology · 2026
    Review
  2. Article
  3. Review
  4. Case Report: A combination ofFrontiers in oncology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Molecular Basis of Breast Tumor Heterogeneity.Advances in experimental medicine and biology · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Nonlobular Invasive Breast Carcinomas with Biallelic Pathogenic CDH1 Somatic Alterations: A Histologic, Immunophenotypic, and Genomic Characterization.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2024
    Article
  15. Article
  16. Article
  17. Review
  18. Molecular Biomarkers of Disease Outcomes and Mechanisms of Acquired Resistance to First-Line Osimertinib in Advanced EGFR-Mutant Lung Cancers.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023
    Article
  19. A Pathogenic Variant Reclassified to the PseudogeneInternational journal of molecular sciences · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 1 institution in 1 country.

Christopher J SchwartzDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-8086-8429
Edaise M da SilvaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-3281-7333
Antonio MarraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7310-7824
Andrea M GazzoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Pier SelenicaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Vikas K RaiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Diana MandelkerDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Fresia ParejaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Maksym MisyuraDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Timothy M D'AlfonsoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Edi BrogiDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Pamela DrullinskyDepartment of Breast Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Pedram RazaviDepartment of Breast Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.
Mark E RobsonDepartment of Breast Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-3109-1692
Joshua Z DragoDepartment of Breast Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-7245-1172
Hannah Y WenDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Liying ZhangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0003-4517-0751
Britta WeigeltDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jinru ShiaDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
Jorge S Reis-FilhoDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. reisfilj@mskcc.org zhangh3@mskcc.org.
Hong ZhangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York. reisfilj@mskcc.org zhangh3@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Targeting Polθ to Overcome PARP Inhibitor Resistance in Homologous Recombination Deficient Breast CancerP50CA247749 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Sarat Chandarlapaty, Simon N. Powell · 2020 to 2026
$16.3M
MSK Paul Calabresi Career Development Award for Clinical OncologyK12CA184746 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Omar Abdel-Wahab, Simon N. Powell · 2015 to 2026
$8.3M
NCI NIH HHS K12 CA184746NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA247749
6 · The paper itself

Abstract

purposeLynch syndrome is defined by germline pathogenic mutations involving DNA mismatch repair (MMR) genes and linked with the development of MMR-deficient colon and endometrial cancers. Whether breast cancers developing in the context of Lynch syndrome are causally related to MMR deficiency (MMRd), remains controversial. Thus, we explored the morphologic and genomic characteristics of breast cancers occurring in Lynch syndrome individuals. EXPERIMENTAL

designA retrospective analysis of 20,110 patients with cancer who underwent multigene panel genetic testing was performed to identify individuals with a likely pathogenic/pathogenic germline variant in

resultsA total of 272 individuals with Lynch syndrome were identified, 13 (5%) of whom had primary breast cancers. The majority of breast cancers (92%) were hormone receptor-positive tumors. Five (42%) of 12 breast cancers displayed loss of MMR proteins by IHC. Four (36%) of 11 breast cancers subjected to tumor-normal sequencing showed dominant MSI mutational signatures, high tumor mutational burden, and indeterminate (27%) or high MSISensor scores (9%). One patient with metastatic MMRd breast cancer received anti-PD1 therapy and achieved a robust and durable response.

conclusionsA subset of breast cancers developing in individuals with Lynch syndrome are etiologically linked to MMRd and may benefit from anti-PD1/PD-L1 immunotherapy.

Indexed as

Breast NeoplasmsColorectal Neoplasms, Hereditary NonpolyposisDNA Mismatch RepairFemaleGerm-Line MutationHumansMicrosatellite InstabilityMutL Protein Homolog 1Retrospective StudiesMutL Protein Homolog 1

Identifiers

PMID34667028
PMCPMC9199381
OpenAlexW3207090299

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.