Evidence map›Paper›PMID 32793721›Full record

ArticleAnnals of translational medicine2020

Cancer-associated fibroblasts promote the migration and invasion of gastric cancer cells via activating IL-17a/JAK2/STAT3 signaling.

Junli Zhang, Sen Li, Yuzhou Zhao, Pengfei Ma, Yanghui Cao, Chenyu Liu, Xijie Zhang, Wenpeng Wang, Li Chen, Yin Li

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

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  7. CD8 + T Cells in Gastrointestinal Cancer: a Perspective on Targeting MicroRNA.Journal of molecular medicine (Berlin, Germany) · 2025
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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

10 authors at 3 institutions in 1 country.

Junli ZhangDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Sen LiDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Yuzhou ZhaoDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Pengfei MaDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Yanghui CaoDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Chenyu LiuDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Xijie ZhangDepartment of General Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Wenpeng WangDepartment of Colorectal Cancer, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Li ChenDepartment of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yin LiDepartment of Thoracic Surgery, The Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNTianjin Medical University Cancer Institute and Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer-associated fibroblasts (CAFs), as the activated stroma cells, contribute to tumor progression via the release of cytokines, growth factors, and hormones. However, neither the factors produced by CAFs nor the molecular mechanisms were illuminated very well in gastric cancer (GC).

methodsImmunohistochemical staining of alpha-smooth muscle actin (α-SMA) was applied to examine the number of CAFs in GC samples from 227 patients. ELISA and qRT-PCR were performed to detect the expression of interleukin 17a (IL-17a). The migration and invasion of GC cells were determined by the Transwell assay. The expressions of JAK2, STAT3, MMP-2, MMP-9, TIMP-1, and TIMP-2 were measured by western blotting. IL-17a was blocked with a polyclonal antibody, and JAK2/STAT3 signaling pathway was blocked by a specific inhibitor AG490.

resultsHigh CAFs in GC tissues were positively correlated with advanced TNM stage and perineural invasion. Furthermore, GC patients with high CAFs in tumor tissues had an obvious worse disease-free survival (DFS) and disease-special survival (DSS). Multivariate analysis showed that high CAFs in GC tissues were an independent risk factor for DFS and DSS. CAFs expressed IL-17a significantly after GC cell co-culture. CAFs markedly enhanced the migration and invasion abilities of AGS and SGC-7901 cells. Moreover, CAFs co-culture resulted in increased levels of MMP2/9, reduced expressions of TIMP1/2, and activation of the JAK2/STAT3 signaling pathway in the GC cells. IL-17a neutralizing antibody or JAK2 inhibitor AG490 can significantly inhibit the effects of CAFs on the migration, invasion, MMP2/9, TIMP1/2, and JAK2/STAT3 pathways of GC cells.

conclusionsCAFs correlated with unfavorable clinical features and poor prognosis of GC patients. CAFs secreted IL-17a, which promoted the migration and invasion of GC cells through activating JAK2/STAT3 signaling. These results may identify IL-17a as a promising prognostic marker and therapeutic target of GC.

Indexed as

cancer-associated fibroblasts (CAFs)Gastric cancer (GC)IL-17aprognosistumor metastasis

Identifiers

PMID32793721
PMCPMC7396760
OpenAlexW3042518384

What OpenQuestion holds

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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.