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Whole genome and transcriptome analysis and the link between insulin receptor aberration and diabetes in PDAC.

2020· article· en· W3004978920 on OpenAlexaff
Michael Lee, James T. Topham, Steve E. Kalloger, Shehara Mendis, Erica S. Tsang, Joanna M. Karasinska, Jonathan M. Loree, David F. Schaeffer, Daniel J. Renouf

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsBC Cancer AgencyVancouver General HospitalPancreas Centre (Canada)
Fundersnot available
KeywordsMedicineInsulin receptorTranscriptomeInsulinCancerType 2 diabetesDiabetes mellitusInternal medicineAlternative splicingCancer researchOncologyEndocrinologyBioinformaticsInsulin resistanceGeneExonBiologyGene expressionGenetics

Abstract

fetched live from OpenAlex

743 Background: Pancreatic ductal adenocarcinoma’s (PDAC) association with diabetes development remains poorly understood. The insulin receptor ( INSR) can divert insulin signaling from metabolic to oncogenic pathway activation through alternative splicing of INSR in several cancer types. Methods: 54 treatment naïve patients with metastatic PDAC underwent fresh tumour biopsy in the BC Cancer Personalized Oncogenomics (POG) and PanGen studies (NCT02155621, NCT02869802) for whole genome (WGA) and transcriptome analysis (RNASeq). Copy status and expression of INSR were correlated with T2DM status, Moffitt subtypes, and overall survival (OS). The findings were then correlated with 92 resected PDAC from the International Cancer Genome Consortium (ICGC). Results: 13/54 (24%) had confirmed T2DM at enrollment, and had poorer OS compared to non-diabetic PDAC patients, independent of Moffitt subtype, HR 3.2 (1.5-6.5), p =0.001. Diabetics were more likely to have hypertension (64 v 11%, p <0.001), dyslipidemia (57 v 16%, p=0.013), and to be older (61.5 v 58 years, p=0.014) and smokers (71.4 v 21.6%, p=0.015). WGA revealed significant enrichment of heterozygous INSR copy loss in T2DM (69%) compared to all other patients (24%; p=0.03) and an enrichment of INSR copy loss for metastatic PDAC relative to resected PDAC in ICGC (35 v 18%, p=0.03). Heterozygous INSR copy loss (n = 17/54) was an independent predictor of worse OS (10.8 v 15.1 months, HR 2.29 (1.20-4.36), p=0.012), and it interacted with diabetes status (p=0.023). Moffitt basal (vs. classical) subtype (n = 17/54, of which 8/17 have INSR copy loss) was also an independent predictor of OS with HR 4.3 (2.1-8.7), p<0.001. Whilst there was no interaction between INSR status and Moffitt subtype on OS (p=0.727), INSR expression is lower in basal subtype, p<0.001. Conclusions: Presence of T2DM in our cohort is an independent predictor of worse OS, consistent with published literature. Alteration in the insulin signalling pathway with heterozygous copy loss of INSR was associated with poorer prognosis, diabetes development and overlapped with Moffitt basal subtype.

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)0.000
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.120
GPT teacher head0.442
Teacher spread0.322 · 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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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