Evidence map›Paper›PMID 36275722›Full record

ArticleFrontiers in immunology2022

A necroptosis related prognostic model of pancreatic cancer based on single cell sequencing analysis and transcriptome analysis.

Liang Chen, Xueming Zhang, Qixiang Zhang, Tao Zhang, Jiaheng Xie, Wei Wei, Ying Wang, Hongzhu Yu, Hongkun Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 42 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors at 6 institutions in 1 country.

Liang ChenDepartment of Hepatobiliary and Pancreatic Surgery, Conversion Therapy Center for Hepatobiliary and Pancreatic Tumors, First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Xueming ZhangDepartment of Hepatobiliary and Pancreatic Surgery, Conversion Therapy Center for Hepatobiliary and Pancreatic Tumors, First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
Qixiang ZhangDepartment of Neurosurgery, First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Tao ZhangDepartment of General Surgery, Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, China.
Jiaheng XieDepartment of Burn and Plastic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei WeiDepartment of Anesthesiology, Jiaxing First Hospital, Jiaxing, China.
Ying WangDepartment of Neurosurgery, Children's Hospital of Nanjing Medical University, Nanjing, China.
Hongzhu YuDepartment of General Surgery, Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, China.
Hongkun ZhouDepartment of Hepatobiliary and Pancreatic Surgery, Conversion Therapy Center for Hepatobiliary and Pancreatic Tumors, First Hospital of Jiaxing, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, China.
First Hospital of Jiaxing · CNAnhui Medical University · CNJiangsu Province Hospital · CNJiaxing University · CNNanjing Medical University · CNSecond Affiliated Hospital of Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As a tumor type with high mortality and poor therapeutic effect, the pathogenesis of pancreatic cancer is still unclear. It is necessary to explore the significance of necroptosis in pancreatic cancer. Methods: Pancreatic cancer transcriptome data were obtained from the TCGA database, ICGC database, and GSE85916 in the GEO database. The TCGA cohort was set as a training cohort, while the ICGC and GSE85916 cohort were set as the validation cohorts. Single-cell sequencing data of pancreatic cancer were obtained from GSE154778 in the GEO database. The genes most associated with necroptosis were identified by weighted co-expression network analysis and single-cell sequencing analysis. COX regression and Lasso regression were performed for these genes, and the prognostic model was established. By calculating risk scores, pancreatic cancer patients could be divided into NCPTS_high and NCPTS_low groups, and survival analysis, immune infiltration analysis, and mutation analysis between groups were performed. Cell experiments including gene knockdown, CCK-8 assay, clone formation assay, transwell assay and wound healing assay were conducted to explore the role of the key gene EPS8 in pancreatic cancer. PCR assays on clinical samples were further used to verify EPS8 expression. Results: We constructed the necroptosis-related signature in pancreatic cancer using single-cell sequencing analysis and transcriptome analysis. The calculation formula of risk score was as follows: NCPTS = POLR3GL * (-0.404) + COL17A1 * (0.092) + DDIT4 * (0.007) + PDE4C * (0.057) + CLDN1 * 0.075 + HMGA2 * 0.056 + CENPF * 0.198 +EPS8 * 0.219. Through this signature, pancreatic cancer patients with different cohorts can be divided into NCPTS_high and NCPTS_low group, and the NCPTS_high group has a significantly poorer prognosis. Moreover, there were significant differences in immune infiltration level and mutation level between the two groups. Cell assays showed that in CAPAN-1 and PANC-1 cell lines, EPS8 knockdown significantly reduced the viability, clonogenesis, migration and invasion of pancreatic cancer cells. Clinical PCR assay of EPS8 expression showed that EPS8 expression was significantly up-regulated in pancreatic cancer (*P<0.05). Conclusion: Our study can provide a reference for the diagnosis, treatment and prognosis assessment of pancreatic cancer.

Indexed as

NecroptosisPancreatic NeoplasmsAdaptor Proteins, Signal TransducingCell MovementGene Expression ProfilingHumansPrognosisAdaptor Proteins, Signal TransducingEPS8 protein, humanbioinformaticsnecroptosispancreatic cancerprognostic modelprogrammed cell deathsingle-cell sequencing analysis

Identifiers

PMID36275722
PMCPMC9585241
OpenAlexW4303043648

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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.