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Record W4381112992 · doi:10.1136/gutjnl-2023-bsg.42

O43 Trans-ancestry transcriptome-wide association study to uncover novel susceptibility genes and therapeutic targets for colorectal cancer

2023· article· en· W4381112992 on OpenAlexaff
Lijuan Wang, Lidan Hu, Jing Sun, Jianhui Zhao, Lili Yu, Yeting Hu, Dan Zhou, Yazhou He, Xiangrui Meng, Zhongshang Yuan, Maria Timofeeva, Susan M. Farrington, Julian Little, Honghe Zhang, Kefeng Ding, Wei Zheng, Malcolm G. Dunlop, Evropi Τheodoratou, Xue Li

Bibliographic record

VenueOral Presentations · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGenome-wide association studySingle-nucleotide polymorphismColorectal cancerBiologyTranscriptomeLocus (genetics)GeneCarcinogenesisGeneticsGenetic associationGene expressionCancerGenotype

Abstract

fetched live from OpenAlex

Introduction Genome-wide association studies (GWASs) have revealed hundreds of common single nucleotide polymorphisms (SNPs) and susceptibility genes for colorectal cancer (CRC). For most susceptibility locus, the underlying biological mechanisms involved in colorectal carcinogenesis remain unclear. We conducted a trans-ancestry transcriptome-wide association study (TWAS), aiming to illustrate how altered gene expression influences CRC risk. Methods We first carried out a trans-ancestry meta-analysis through combining summary statistics from large-scale CRC GWASs conducted in European (20,049 cases and 22,661 controls) and Asian (19,597 cases and 51,398 controls) populations. TWAS analysis was then performed by integrating gene-expression prediction models generated from colon tissues and blood samples with GWAS summary data to evaluate associations between genetically predicted gene expression and CRC risk. Functional experiments both in CRC cells and tumor xenografts were conducted to examine the underlying mechanisms involved in colorectal carcinogenesis. Further, a drug sensitivity test was employed to explore potential clinical implications for CRC treatment. Results The TWAS identified a total of 50 differentially expressed genes highly associated with CRC risk, and eleven of them (ASPDH, AXIN1, CCDC28A, CNPY4, CRTC3, CYB5D1, DENND4C, FAM89B, FNIP2, RUFY2, SOX4) were novel findings. Annotation of putative functional variants within TWAS-identified locus revealed that over half (63.8%) showed evidence of transcriptional regulatory mechanisms via proximal promoter or distal enhancer-promoter interactions. Over-expression of gene-splicing factor 3a subunit 3 (SF3A3) was significantly associated with increased risk of CRC (P = 1.35×10-8). Further cell and animal experiments confirmed that SF3A3 plays an oncogenic role in CRC development, and the underlying biological mechanism is related to its anti-apoptosis effect. The drug sensitivity test revealed that phenethyl isothiocyanate (PEITC) targeting SF3A3 could inhibit CRC progression. Conclusions This study identified novel CRC susceptibility genes and explored potential biological mechanisms involved in CRC development, providing important insight into the etiology and treatment of CRC.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.040
GPT teacher head0.347
Teacher spread0.307 · 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
Published2023
Admission routes1
Has abstractyes

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