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Abstract B081: Association between clonal hematopoiesis and survival outcomes in pancreatic ductal adenocarcinoma: Analysis from the PASS-01 trial

2025· article· en· W4414585400 on OpenAlexaff
Panot Sainamthip, Meenakshi Somadasan, Leigh Culnane, Elizabeth Andrews, Lauren K. Brais, Anna Dodd, Kimberly Perez, Kenneth H. Yu, Daniel A. Laheru, Daniel A. King, Grainne M. O’Kane, Steven Gallinger, David A. Tuveson, Elizabeth M. Jaffee, Jennifer J. Knox, Faiyaz Notta, Adam S. Sperling, Andrew J. Aguirre, Brian M. Wolpin, Harshabad Singh

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsHazard ratioProportional hazards modelMyeloid leukemiaFOLFIRINOXGemcitabineConfidence intervalSurvival analysisPancreatic cancer

Abstract

fetched live from OpenAlex

Abstract Clonal hematopoiesis (CH) or presence of expanded hematopoietic clones harboring mutations in leukemia associated genes is associated with a higher risk of cardiovascular disease, myeloid malignancies and shorter overall survival. Incidence of CH increases with age, and CH is often found in patients with epithelial malignancies where it can be associated with worse outcomes. However, the impact of CH in pancreatic ductal adenocarcinoma (PDAC) remains unclear. Here we study the impact of CH on outcomes in patients enrolled on the PASS-01 trial. PASS-01 is a randomized control phase 2 trial of patients with previously untreated metastatic PDAC who received either FOLFIRINOX or gemcitabine with nab-paclitaxel. As part of the PASS-01 trial, serial peripheral blood samples were collected. CH was identified using a 25-gene next-generation sequencing (NGS) panel assay on DNA extracted from pre-treatment buffy coat. CH was defined as the presence of a pathogenic mutations in any of the included genes on the panel with a variant allele frequency (VAF) ≥1%. Associations between CH and clinical outcomes including overall survival (OS) and progression-free survival (PFS) were evaluated using Kaplan Meier method and significance was estimated using log-rank test. Cox proportional hazards regression was used to estimate hazard ratios (HRs) with 95% confidence intervals (CIs).Results Of 140 patients included in the per-protocol analysis of PASS01, 137 pre-treatment samples were available, and 125 passed quality control metrics for CH analysis. CH mutations were detected in 46 patients (36.8%). The most frequently mutated genes were DNMT3A (60.9%), TET2 (17.4%), and ASXL1 (6.5%). Baseline characteristics were balanced between CH-positive and CH-negative patients though as expected CH was associated with a trend towards older age (Mean age 64.7 vs. 61.8 years, p = 0.08). In CH-positive versus negative patients, median OS was 9.4 months versus 9.6 months (HR = 0.91; 95% CI: 0.59–1.40; p = 0.67) and median PFS was 4.9 months versus 5.2 months, (HR = 0.97; 95% CI: 0.66–1.41; p = 0.85). Interestingly, in basal-like tumors (n = 23), CH (n = 7) was associated with a numerically shorter median OS (6.2 vs. 10.2 months; HR = 1.37; 95% CI: 0.51–3.69; p = 0.52) and median PFS (2.4 vs. 4.7 months; HR = 2.50; 95% CI: 0.93–6.84; p = 0.06). No such differences were observed in classical tumors (n = 70; 26 with CH). There were no difference in OS and PFS by presence of CH based on type of first line chemotherapy regimen patients received on the trial. Exploratory analyses evaluating only larger clones with VAF ≥ 2% did not change our findings. Presence of CH is not associated with adverse outcomes in PDAC, potentially related to high competing risk of PDAC related morbidity and mortality. We observe a provocative trend of worse outcomes in patients with CH and basal-like tumors which may reflect unique tumor biology. Additional studies interrogating impact of tumor infiltrating CH variants and mechanistic connections between tumor transcriptional subtype and CH are ongoing. Citation Format: Panot Sainamthip, Meenakshi Somadasan, Leigh Culnane, Elizabeth Andrews, Lauren Brais, Anna Dodd, Kimberly Perez, Kenneth Yu, Daniel Laheru, Daniel A. King, Grainne M. O’Kane, Steven Gallinger, David Tuveson, Elizabeth Jaffee, Jennifer J. Knox, Faiyaz Notta, Adam S. Sperling, Andrew J. Aguirre, Brian M. Wolpin, Harshabad Singh. Association between clonal hematopoiesis and survival outcomes in pancreatic ductal adenocarcinoma: Analysis from the PASS-01 trial [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pancreatic Cancer Research—Emerging Science Driving Transformative Solutions; Boston, MA; 2025 Sep 28-Oct 1; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2025;85(18_Suppl_3):Abstract nr B081.

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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.093
GPT teacher head0.445
Teacher spread0.351 · 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 designRandomized trial
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
Published2025
Admission routes1
Has abstractyes

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