Evidence map›Paper›PMID 39103840›Full record

ArticleJournal of translational medicine2024

Insights into gemcitabine resistance in pancreatic cancer: association with metabolic reprogramming and TP53 pathogenicity in patient derived xenografts.

Mariam M Konaté, Julia Krushkal, Ming-Chung Li, Li Chen, Yuri Kotliarov, Alida Palmisano, Rini Pauly, Qian Xie, P Mickey Williams, Lisa M McShane and 1 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Clinical application and drug resistance mechanism of gemcitabine.Frontiers in cell and developmental biology · 2025
    Review
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mariam M KonatéBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA.
Julia KrushkalBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA.
Ming-Chung LiBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA.
Li ChenLeidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, 21704, USA.
Yuri KotliarovBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA.
Alida PalmisanoGeneral Dynamics Information Technology (GDIT), Falls Church, VA, 22042, USA.
Rini PaulyLeidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, 21704, USA.
Qian XieGeneral Dynamics Information Technology (GDIT), Falls Church, VA, 22042, USA.
P Mickey WilliamsLeidos Biomedical Research, Inc, Frederick National Laboratory for Cancer Research, Frederick, MD, 21704, USA.
Lisa M McShaneBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA.
Yingdong ZhaoBiometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, MD, 20850, USA. zhaoy@mail.nih.gov.ORCID 0000-0002-8514-0293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith poor prognosis and high mortality, pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies. Standard of care therapies for PDAC have included gemcitabine for the past three decades, although resistance often develops within weeks of chemotherapy initiation through an array of possible mechanisms.

methodsWe reanalyzed publicly available RNA-seq gene expression profiles of 28 PDAC patient-derived xenograft (PDX) models before and after a 21-day gemcitabine treatment using our validated analysis pipeline to identify molecular markers of intrinsic and acquired resistance.

resultsUsing normalized RNA-seq quantification measurements, we first identified oxidative phosphorylation and interferon alpha pathways as the two most enriched cancer hallmark gene sets in the baseline gene expression profile associated with intrinsic gemcitabine resistance and sensitivity, respectively. Furthermore, we discovered strong correlations between drug-induced expression changes in glycolysis and oxidative phosphorylation genes and response to gemcitabine, which suggests that these pathways may be associated with acquired gemcitabine resistance mechanisms. Thus, we developed prediction models using baseline gene expression profiles in those pathways and validated them in another dataset of 12 PDAC models from Novartis. We also developed prediction models based on drug-induced expression changes in genes from the Molecular Signatures Database (MSigDB)'s curated 50 cancer hallmark gene sets. Finally, pathogenic TP53 mutations correlated with treatment resistance.

conclusionOur results demonstrate that concurrent upregulation of both glycolysis and oxidative phosphorylation pathways occurs in vivo in PDAC PDXs following gemcitabine treatment and that pathogenic TP53 status had association with gemcitabine resistance in these models. Our findings may elucidate the molecular basis for gemcitabine resistance and provide insights for effective drug combination in PDAC chemotherapy.

Indexed as

DeoxycytidineDrug Resistance, NeoplasmGemcitabinePancreatic NeoplasmsTumor Suppressor Protein p53Xenograft Model Antitumor AssaysAnimalsCarcinoma, Pancreatic DuctalGene Expression Regulation, NeoplasticHumansMetabolic ReprogrammingMiceDeoxycytidineGemcitabineTumor Suppressor Protein p53Acquired resistanceGemcitabineGlycolysisIntrinsic resistanceOXPHOSPancreatic adenocarcinomaTP53

Identifiers

PMID39103840
PMCPMC11301937

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Registered trials

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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.