Evidence map›Paper›PMID 39872846›Full record

ReviewFrontiers in cell and developmental biology2024

A stumbling block in pancreatic cancer treatment: drug resistance signaling networks.

Jinming Liu, Biao Zhang, Bingqian Huang, Kexin Zhang, Fujia Guo, Zhizhou Wang, Dong Shang

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

7 authors.

Jinming Liu *Department of General Surgery, Pancreas and Biliary Center, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Biao Zhang *Department of General Surgery, Pancreas and Biliary Center, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Bingqian Huang *Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Department of Clinical Pharmacy, Affiliated Hangzhou First People's Hospital, Westlake University, Hangzhou, China.
Kexin ZhangCentral Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Fujia GuoCentral Laboratory, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhizhou WangDepartment of General Surgery, Pancreas and Biliary Center, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Dong ShangDepartment of General Surgery, Pancreas and Biliary Center, The First Affiliated Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The primary node molecules in the cell signaling network in cancer tissues are maladjusted and mutated in comparison to normal tissues, which promotes the occurrence and progression of cancer. Pancreatic cancer (PC) is a highly fatal cancer with increasing incidence and low five-year survival rates. Currently, there are several therapies that target cell signaling networks in PC. However, PC is a "cold tumor" with a unique immunosuppressive tumor microenvironment (poor effector T cell infiltration, low antigen specificity), and targeting a single gene or pathway is basically ineffective in clinical practice. Targeted matrix therapy, targeted metabolic therapy, targeted mutant gene therapy, immunosuppressive therapy, cancer vaccines, and other emerging therapies have shown great therapeutic potential, but results have been disappointing. Therefore, we summarize the identified and potential drug-resistant cell signaling networks aimed at overcoming barriers to existing PC therapies.

Indexed as

drug resistancegemcitabinematrixpancreatic cancersignaling network

Identifiers

PMID39872846
PMCPMC11770040

What OpenQuestion holds

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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.