Abstract 2796: Colibactin mutation signatures are associated with younger age of onset in colorectal cancer
Bibliographic record
Abstract
Abstract Escherichia coli (E. coli) strains carrying the polyketide synthase (pks) island produce the genotoxin colibactin associated with pathogenesis of colorectal cancer (CRC). Colibactin binds directly to DNA, causing alkylating damage leading to double stranded DNA breaks. Colibactin mutagenesis results in mutations in hexameric A-T rich DNA motifs that can be identified by whole genome sequencing (WGS) as mutation signatures SBS28 and SBS88 (SBS-pks). Since WGS is not routinely used clinically, we developed an approach to specifically identify SBS-pks using a clinical targeted exon capture assay, MSK-IMPACT. In an institutional pan-cancer clinical cohort of 78,905 tumors we identified 15,967 samples with > 20 mutations detected by MSK-IMPACT. We identified 150/1,884 samples with microsatellite stable CRC with >10% mutations attributable to SBS-pks. Examining clinicopathologic and genomic features of SBS-pks+ compared to SBS-pks- CRC tumors, we found that SBS-pks+ signatures are significantly enriched in younger age of onset compared to SBS-pks- CRC patients (median age 55 vs median age 59, p= 0.0028). SBS-pks+ CRC exhibit similar driver mutations and tumor mutational burden (TMB) compared to SBS-pks- CRC but are associated with increased fraction of genome altered (FGA). To mechanistically investigate colibactin-associated damage we developed a novel long-term human colon organoid-microbe co-culture model system that takes advantage of reversal of polarity in suspension culture. WGS of human CRC organoids co-cultured for three months with pks+ and delta-pks E. coli NC101 confirmed induction of pks+ specific SBS-pks signatures, validating the model. Leveraging this model and a biobank of normal colon organoids from donors aged </> 50 years, we are investigating the molecular mechanisms underlying the association of SBS-pks with younger age of onset CRC. Citation Format: Stefanie Gerstberger, Melissa Lumish, Saskia Hartner, Farheen Shah, Seongmin Choi, Anisha Luthra, Qingwen Jiang, Hyung Jun Woo, Ahmed Mahmoud, Henry Walch, Simran Asawa, Mark Donoghue, Andrea Cercek, Rona Yaeger, Andrew McPherson, Francisco Sanchez-Vega, Karuna Ganesh. Colibactin mutation signatures are associated with younger age of onset in colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2796.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".