Evidence map›Paper›PMID 35950187›Full record

ArticleComputational and structural biotechnology journal2022

Turning towards nonimmunoreactive tumors: Evaluation of cancer-associated fibroblasts enables prediction of the immune microenvironment and treatment sensitivity in pancreatic cancer.

Siyuan Lu, Jie Hua, Jin Xu, Miaoyan Wei, Chen Liang, Qingcai Meng, Jiang Liu, Bo Zhang, Wei Wang, Xianjun Yu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 at 1 institution in 1 country.

Siyuan LuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Jie HuaDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Jin XuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Miaoyan WeiDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Chen LiangDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Qingcai MengDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiang LiuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Bo ZhangDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Wei WangDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xianjun YuDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Si ShiDepartment of Pancreatic Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Shanghai Medical College of Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increasing evidence has confirmed that cancer-associated fibroblasts (CAFs) recruit and induce regulatory T cells (Tregs) and macrophages but inhibit cytotoxic T lymphocyte infiltration to a certain extent, indicating that CAFs have a significant influence on the immunosuppressive microenvironment. However, the effect of CAFs on the immune microenvironment and immunotherapy response in pancreatic cancer remains unclear. Our research identified remarkable variation in CAF-associated molecules in multiple cancer types at the genetic and transcriptome levels. Two phenotypes were identified for 476 pancreatic cancer samples, and the different phenotypes exhibited significant variation in immune and inflammatory characteristics. Phenotype 1 exhibited higher levels of immune infiltration and lower expression of tumor-associated gene signatures than phenotype 2. We used a multipart approach to assess the prognostic value of CAF-associated molecules and constructed a CAF score model that could accurately predict patient prognosis. The CAF score accurately predicted infiltrating immune cell abundance, chemosensitivity, and the response to immunotherapy. Additionally, we found that the CAF-associated molecule FGFR4 may promote the proliferation and migration and inhibit the apoptosis of pancreatic cancer cells and is correlated with immune infiltration, suggesting its potential role as an oncogene. CAFs may promote the malignant biological behavior of pancreatic cancer through FGFR4. In summary, our research highlights potential relationships of the dysregulation of CAF-associated molecules with genome alterations and carcinogenesis in multiple malignancies. Our CAF-associated phenotypes and scoring system may enhance the understanding of pancreatic cancer chemotherapy sensitivity and immunotherapy response, providing new insights for personalized chemotherapy and immunotherapy.

Indexed as

Bioinformatics analysisCancer-associated fibroblastsChemotherapyImmune infiltrationMachine learningPancreatic cancer

Identifiers

PMID35950187
PMCPMC9334218
OpenAlexW4286250285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.