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Record W4407285816 · doi:10.1093/jcag/gwae059.122

A122 CHARACTERIZATION OF COLORECTAL NEOPLASIA IN PEOPLE WITH LYNCH SYNDROME

2025· article· en· W4407285816 on OpenAlexaffabout
Karam Al-Bayati, Kiranvir Brar, Heidi Rothenmund, Bernie Chordiker, James Stone, C Kim, Harminder Singh

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLynch syndromeMedicineColorectal cancerInternal medicineCancerDNA mismatch repair

Abstract

fetched live from OpenAlex

Abstract Background Lynch syndrome (LS) is an autosomal dominant condition that is associated with germline variants in the MLH1, MSH2, MSH6, or PMS2 genes or a deletion in the EpCAM gene which inactivates MSH2. LS is the most common cause of hereditary colorectal cancer (CRC), accounting for 3% of all new diagnoses. In 2017, Manitoba implemented an initiative where all CRC biopsy and surgical specimens for patients ≤ 70 years of age are screened for LS through mismatch repair immunochemistry. If confirmed to have LS, cascade testing is offered, and systematic evidence-based screening is recommended. Recent hypotheses suggest alternative pathways of development of CRC in LS, with variation by affected gene. Guidelines recommend delaying onset of screening colonoscopy to age 30-35 for those with MSH6 and PMS2 mutations. However, there are limited contemporary data on pre-CRC lesions in LS, including any differences according to impacted gene. Lower rate of CRC in young persons with MSH6/PMS2 may be related to removal of pre-CRC lesions Aims The objective of this study is to characterize colorectal lesions among a population-based cohort of LS individuals Methods The database of individuals with pathogenic/likely pathogenic (P/LP) LS gene variants in Manitoba is augmented with colonoscopy data and pathological findings. We report descriptive statistics to describe the neoplastic lesions (pre-CRC lesions and CRC) in those with LS with data stratified by gene type. Prevalence estimates among individuals with LS without CRC amongst those with advanced CRC precursor lesions was reported. Advanced CRC precursor lesions are defined as either ≥1 cm in size, villous/tubulovillous histology, high grade dysplasia, or serrated polyps with dysplasia Results A total of 482 people with LS were analysed (33.9% males). 198 individuals with LS had documented CRC, of which 28.3% were in the cecum. Prevalence of advanced CRC precursors was 9/81 in people with MSH6 mutation, 18/102 with MLH1 mutation, 16/112 with PMS2 mutation, and 30/136 with MSH2 mutation. Median age at diagnosis of advanced CRC precursors was 56-years with average polyp size of 16.5 mm. 1/8 individuals under the age of 35 years old at the time of the colonoscopy in the MSH6 group had advanced CRC precursors, compared to 1/25 of individuals in the PMS2 mutation group. There were no CRC diagnosed below the age of 35 in the PMS2 and MSH6 groups Conclusions This population-based study is characterizing neoplastic lesions in individuals with LS highlighting the distribution of these lesions according to gene variants. The data analysis thus far raises concerns on the recent guidelines recommendations to increase the age of onset of colonoscopy surveillance to 35 years old in those with PMS2/MSH6 mutation; those recommendations did not consider the effect of removal of CRC precursors on CRC occurrence Funding Agencies None

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.207
Teacher spread0.203 · 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 designObservational
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 routes2
Has abstractyes

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