Evidence map›Paper›PMID 38187070›Full record

ArticleAmerican journal of cancer research2023

Platelet-related gene risk score: a predictor for pancreatic cancer microenvironmental signature, chemosensitivity and prognosis.

Meng-Si Hu, Ming Jiang, Ying-Jian Wang, Shou-Fang Xu, Fei-Yu Jiang, Ye-Tao Han, Zhi-Wei Liu, Hong Yu

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. 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
0.9field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Deciphering of SOX9 Functions in Pancreatic Cancer Cells.International journal of molecular sciences · 2025
    Article
  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

8 authors at 1 institution in 1 country.

Meng-Si HuDepartment of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine 3th East Qingchun Road, Hangzhou 310016, Zhejiang, P. R. China.
Ming JiangDepartment of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine Hangzhou 310016, Zhejiang, P. R. China.
Ying-Jian WangDepartment of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine 3th East Qingchun Road, Hangzhou 310016, Zhejiang, P. R. China.
Shou-Fang XuDepartment of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine 3th East Qingchun Road, Hangzhou 310016, Zhejiang, P. R. China.
Fei-Yu JiangDepartment of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine 3th East Qingchun Road, Hangzhou 310016, Zhejiang, P. R. China.
Ye-Tao HanDepartment of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine 3th East Qingchun Road, Hangzhou 310016, Zhejiang, P. R. China.
Zhi-Wei LiuDepartment of Blood Transfusion, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine 3th East Qingchun Road, Hangzhou 310016, Zhejiang, P. R. China.
Hong YuDepartment of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine Hangzhou 310016, Zhejiang, P. R. China.
Sir Run Run Shaw Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent studies have indicated that platelets may play a role in the advancement of pancreatic cancer by supporting tumor growth and increasing resistance to chemotherapy. This study aims to develop a prognostic model for pancreatic cancer using a platelet-related gene risk score. Prognostic platelet-related genes (PRGs) were identified from public databases and analyzed using cluster analysis. We investigated the microenvironment signatures and gene mutation patterns across different PRG-based molecular subtypes of pancreatic cancer. A prognostic model based on PRGs was developed using LASSO-Cox Regression Analysis. Additionally, we examined the correlation between the risk score and tumor clinical characteristics, as well as drug sensitivity. Two molecular subtypes, cluster C1 and C2, were identified. Cluster C2 was associated with a poorer prognosis compared to Cluster C1. The C1 group exhibited higher scores for activated CD8+ T cells, central memory CD4+ T cells, and natural killer T cells. The C2 group demonstrated a higher frequency of gene mutations. We established and validated a novel prognostic prediction model and platelet-related gene risk score for pancreatic cancer. The risk score was positively correlated with T stage, N stage, and tumor grade, and it presented a significant prognostic value compared to other clinical factors. In conclusion, a novel prognostic prediction model focusing on platelet involvement in pancreatic cancer has been developed, offering potential benefits for future drug therapies and clinical prognostic assessments.

Indexed as

chemosensitivitygene signaturepancreatic cancerPlateletsprognosistumor microenvironment signature

Identifiers

PMID38187070
PMCPMC10767351
OpenAlexW4390689809

What OpenQuestion holds

Textmetadata
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.