Evidence map›Paper›PMID 34331036›Full record

ReviewNature reviews. Gastroenterology & hepatology2021

Cell death in pancreatic cancer: from pathogenesis to therapy.

Xin Chen, Herbert J Zeh, Rui Kang, Guido Kroemer, Daolin Tang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 223 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
223citing papers in PubMed, 2 pooled it
20.0field-weighted citation impact, top 1% 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

223 citing papers in PubMed, 2 syntheses or guidelines pooled it, 323 citations in OpenAlex.

  1. Necroptosis in pancreatic cancer: Molecular mechanisms and therapeutic implications.Apoptosis : an international journal on programmed cell death · 2026
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  4. Driver mutation profiling by next-generation sequencing predicts survival and recurrence after curative-intent resection for pancreatic ductal adenocarcinoma: a genomic cohort study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  14. Integrated single-cell and bulk RNA sequencing reveals regulated necrosis-associated heterogeneity in pancreatic cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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163 more citing papers are in PubMed but not listed here.

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 4 countries.

Xin ChenGuangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, The Third Affiliated Hospital, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China.ORCID http://orcid.org/0000-0003-3668-4830
Herbert J ZehDepartment of Surgery, UT Southwestern Medical Center, Dallas, TX, USA.
Rui KangDepartment of Surgery, UT Southwestern Medical Center, Dallas, TX, USA. rui.kang@utsouthwestern.edu.
Guido KroemerCentre de Recherche des Cordeliers, Equipe Labellisée par la Ligue Contre le Cancer, Université de Paris, Sorbonne Université, INSERM U1138, Institut Universitaire de France, Paris, France. kroemer@orange.fr.ORCID http://orcid.org/0000-0002-9334-4405
Daolin TangGuangzhou Municipal and Guangdong Provincial Key Laboratory of Protein Modification and Degradation, The Third Affiliated Hospital, School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China. daolin.tang@utsouthwestern.edu.ORCID http://orcid.org/0000-0002-1903-6180
Southwestern Medical Center · USKarolinska University Hospital · SEThird Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is a devastating gastrointestinal cancer characterized by late diagnosis, limited treatment success and dismal prognosis. Exocrine tumours account for 95% of pancreatic cancers and the most common pathological type is pancreatic ductal adenocarcinoma (PDAC). The occurrence and progression of PDAC involve multiple factors, including internal genetic alterations and external inflammatory stimuli. The biology and therapeutic response of PDAC are further shaped by various forms of regulated cell death, such as apoptosis, necroptosis, ferroptosis, pyroptosis and alkaliptosis. Cell death induced by local or systemic treatments suppresses tumour proliferation, invasion and metastasis. However, unrestricted cell death or tissue damage might result in an inflammation-related immunosuppressive microenvironment, which is conducive to tumour progression or recurrence. The precise extent to which cell death affects PDAC is not yet well described. A growing body of preclinical and clinical studies document significant correlations between mutations (for example, in KRAS and TP53), stress responses (such as hypoxia and autophagy), metabolic reprogramming and chemotherapeutic responses. Here, we describe the molecular machinery of cell death, discuss the complexity and multifaceted nature of lethal signalling in PDAC cells, and highlight the challenges and opportunities for activating cell death pathways through precision oncology treatments.

Indexed as

ApoptosisAutophagyCarcinoma, Pancreatic DuctalCell DeathCell ProliferationFerroptosisHumansHypoxiaNecroptosisNeoplasm InvasivenessNeoplasm MetastasisPancreatic NeoplasmsProto-Oncogene Proteins p21(ras)PyroptosisTumor Suppressor Protein p53KRAS protein, humanProto-Oncogene Proteins p21(ras)TP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID34331036
OpenAlexW3184981591

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.