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Record W4409635946 · doi:10.1158/1538-7445.am2025-6337

Abstract 6337: A novel PMS2 mutant Lynch syndrome mouse model for cancer prevention studies

2025· article· en· W4409635946 on OpenAlexaboutno aff
Kajal Biswas, Yurong Song, Vaishnavi Peddibhotla, Brandon Somerville, Mary Albaugh, Dillon Dierman, Altaf Mohammed, Shyam K. Sharan, Robert H. Shoemaker

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsnot available
Fundersnot available
KeywordsLynch syndromePMS2CancerMutantCancer preventionMedicineInternal medicineGeneticsCancer researchBiologyColorectal cancerGeneDNA mismatch repair

Abstract

fetched live from OpenAlex

Abstract Mono-allelic germline pathogenic variants (GPVs) in MMR genes (MLH1, MSH2, PMS2, and MSH6) predispose individuals to hereditary non-polyposis colorectal cancer (HNPCC), better known now as Lynch syndrome (LS). Bi-allelic GPVs in MMR genes lead to a severe phenotype, constitutional MMR deficiency (CMMRD), that is characterized by early onset of leukemia/lymphoma, colorectal/gastrointestinal tumors, brain tumors, and sarcomas. MMR deficient mouse models have provided many mechanistic and translational insights. Pms2-null (Pms2ko/ko) mice were found to be viable but showed an increase in microsatellite instability and developed lymphomas and sarcomas. One of the most frequently occurring human mutations in PMS2 is a founder mutation NM_000535.5:c.2002A>G (p.I668V), observed in the Canadian Inuit population (1 in 16 Inuits are carriers). This mutation acts as a de novo splice site that creates a 5 bp deletion resulting in a truncated protein (p.I668*). A mouse model with an equivalent germline mutation (Pms2c.1993A>G) results in a splicing defect like that observed in humans and exhibits a significant increase in microsatellite instability and intestinal adenomas on an Apc mutant (Apctm1Rak ) background. We are now further characterizing this model for intestinal tumor initiation and progression using time course experiments and comparing tumor development by histopathological examination with the Pms2ko/ko model. Moreover, we are also examining this model to identify neoantigens, that may lead to development of a new vaccine for PMS2 mutation carriers.This mouse model can be a valuable tool to test the efficacy of new strategies for cancer prevention in PMS2 mutation carriers. We have developed a luciferase based splicing reporter assay in HEK293 cells that can be used to screen splicing modulators to suppress aberrant splicing of this splice site mutation. The efficacy of these modulators to suppress aberrant splicing in the small intestine of mice can be further tested using this mouse model. Citation Format: Kajal Biswas, Yurong Song, Vaishnavi Peddibhotla, Brandon Somerville, Mary Albaugh, Dillon Dierman, Rameesha Mustafa, Altaf Mohammed, Shyam K. Sharan, Robert H. Shoemaker. A novel PMS2 mutant Lynch syndrome mouse model for cancer prevention studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 6337.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0200.010

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.245
GPT teacher head0.511
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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