Evidence map›Paper›PMID 36647100›Full record

ArticleCancer cell international2023

Molecular subtypes based on cuproptosis-related genes and tumor microenvironment infiltration characteristics in pancreatic adenocarcinoma.

Jian Li, Jingyang Yin, Wenhua Li, Huaizhi Wang, Bing Ni

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Cuproptosis-related geneRadiology and oncology · 2025
    Article
  5. Article
  6. Article
  7. Article
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  9. The roles of essential trace elements in T cell biology.Journal of cellular and molecular medicine · 2024
    Review
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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

5 authors at 3 institutions in 1 country.

Jian Li *Department of Pathophysiology, College of High Altitude Military Medicine, Third Military Medical University, Chongqing, 400038, People's Republic of China.
Jingyang Yin *Institute of Hepatopancreatobiliary Surgery, Chongqing General Hospital, Chongqing, 400038, People's Republic of China.
Wenhua Li *Department of Cadre Ward, Air Force Hospital of Western Theater Command, Chengdu, 610021, People's Republic of China.
Huaizhi WangInstitute of Hepatopancreatobiliary Surgery, Chongqing General Hospital, Chongqing, 400038, People's Republic of China. whuaizhi@gmail.com.
Bing NiDepartment of Pathophysiology, College of High Altitude Military Medicine, Third Military Medical University, Chongqing, 400038, People's Republic of China. nibing@tmmu.edu.cn.ORCID http://orcid.org/0000-0002-4297-5346
Army Medical University · CNFirst People's Hospital of Chongqing · CNAir Force General Hospital PLA · CN

Funding

Postdoctoral Program of Chongqing 2021XM2017
6 · The paper itself

Abstract

backgroundMultiple molecular subtypes with distinct clinical outcomes in pancreatic adenocarcinoma (PAAD) have been identified in recent years. Cuproptosis is a new form of cell death that likely involved in tumor progression. However, the cuproptosis-related molecular subtypes as well as its mediated tumor microenvironment (TME) cell infiltration characteristics largely remain unclear.

methodsExpression profiles of 10 cuproptosis-related genes (CRGs) and their association with patient survival, TME, cancer stemness and drug resistance were studied in 33 cancer types using the TCGA pan-cancer data. Using 437 PAAD samples from five cohorts (TCGA-PAAD cohort and four GEO cohorts), we explored the molecular subtypes mediated by CRGs, along with the associated TME cell infiltration. Unsupervised methods were utilized to perform cuproptosis subtype clustering. The cuproptosis score was constructed using the COX regression model with least absolute shrinkage and selection operator regression (LASSO) algorithm to quantify the cuproptosis characteristics of a single tumor.

resultsThe expression of 10 CRGs varies in different cancer types with striking inter- and intra- cancer heterogeneity. We integrated the genomic profiling of the CRGs and identified three distinct cuproptosis subtypes, and found that multi-layer CRG alterations were correlated with patient prognosis and TME cell infiltration characteristics. In addition, a cuproptosis score signature was constructed to predict prognosis, and its clinical impacts were characterized in the TCGA-PAAD cohort. The cuproptosis signature was significantly associated with prognosis, tumor subtypes, CD8 T-cell infiltration, response to immune checkpoint inhibitors (ICIs) and chemotherapeutic drug sensitivity. Furthermore, the expression patterns of CRGs in pancreatic cancer cells and normal controls were validated, which was almost consistent with the results from the public database. The expression level and prognostic predictive capability of DLAT were verified in 97 PAAD patients from our patient cohort.

conclusionsThese findings may help understand the roles of CRGs in PAAD and the molecular characterization of cuproptosis subtypes. In addition, the cuproptosis score could serve as a promising biomarker for predicting prognosis and response to immunotherapy in PAAD patients.

Indexed as

CuproptosisImmunotherapyMolecular subtypesPancreatic adenocarcinomaTumor microenvironment

Identifiers

PMID36647100
PMCPMC9844034
OpenAlexW4316669923

What OpenQuestion holds

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LicenceCC BY
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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.