Evidence map›Paper›PMID 40349133›Full record

ArticleThe oncologist2025

The PancreasView gemcitabine transcriptomic signature predicts response to gemcitabine in patients with resected pancreatic ductal adenocarcinoma.

Louisa Bolm, Nicolas Fraunhoffer, Nelson Dusetti, Julia Straesser, Natalie Petruch, Carlos Fernandez Del Castillo, Juan Iovanna

Abstract read
In one paragraph

Article in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Louisa BolmDepartment of Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Nicolas FraunhofferCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix- Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille 13288, France.
Nelson DusettiCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix- Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille 13288, France.
Julia StraesserDepartment of Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Natalie PetruchDepartment of Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Carlos Fernandez Del CastilloDepartment of Surgery, Massachusetts General Hospital, Boston, MA 02114, United States.
Juan IovannaCentre de Recherche en Cancérologie de Marseille (CRCM), INSERM U1068, CNRS UMR 7258, Aix- Marseille Université and Institut Paoli-Calmettes, Parc Scientifique et Technologique de Luminy, Marseille 13288, France.ORCID 0000-0003-1822-2237

Funding

German Research Foundation BO-5659INCa 2018-078, 2018-079Institut National de la Santé et de la Recherche Médicale
6 · The paper itself

Abstract

introductionIn the current study, we aimed to assess the efficacy of a gemcitabine response predictive signature that is part of the PancreasView transcriptomic predictive tool (Gem + or Gem-).

methodsWe used a cohort of pancreatic ductal adenocarcinoma patients treated from the Massachusetts General Hospital who underwent upfront resection.

resultsIn this cohort of 43 patients, 20 (46.5%) received adjuvant gemcitabine (GEM arm) and 23 (53.5%) did not receive any adjuvant chemotherapy. Among the 43 patients, the Gem signature defined a subgroup of 16 patients (37.2%) who were sensitive (Gem+) and 27 (62.8%), who were resistant to gemcitabine (Gem-). The Gem+ patients who received adjuvant gemcitabine had significantly better median disease-free survival (DFS) compared to the Gem- patients (NR until 72 months of follow-up vs 19.0 months; stratified hazard ratio [HR]: 0.19; 95% CI, 0.04-0.86; P = .032) and longer median cancer-specific survival (CSS) (NR until 96 months of follow-up vs 37.0 months; stratified HR: 0.18; 95% CI, 0.04-0.85; P = .030) when treated with gemcitabine. The gemcitabine signature remained an independent predictive factor for DFS (HR: 0.41; 95% CI, 0.19-0.89; P = .024) and CSS (HR: 0.47; 95% CI, 0.22-1.23; P = .059) after adjusting for clinicopathological characteristics in an unstratified univariate Cox hazard model.

conclusionsThis validation of the gemcitabine predictive transcriptomic signature in an independent cohort from Massachusetts General Hospital reinforces the robustness and reliability of this tool. This study highlights the potential of the signature to aid in the personalization of chemotherapy and enhance patient outcomes in pancreatic ductal adenocarcinoma.

Indexed as

Antimetabolites, AntineoplasticCarcinoma, Pancreatic DuctalDeoxycytidinePancreatic NeoplasmsTranscriptomeAdultAgedDisease-Free SurvivalFemaleGemcitabineHumansMaleMiddle AgedPrognosisAntimetabolites, AntineoplasticDeoxycytidineGemcitabineclinical trialPancreasViewPDACpersonalized treatmenttranscriptomic signatures

Identifiers

PMID40349133
PMCPMC12065937

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.