Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Clustering analysis revealed the autophagy classification and potential autophagy regulators' sensitivity of pancreatic cancer based on multi‐omics data

9 Jun 2022

Abstract excerpt

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy and is unresponsive to conventional therapeutic modalities due to its high heterogeneity, expounding the necessity, and priority of searching for effective biomarkers and drugs. Autophagy, as an evolutionarily conserved biological process, is upregulated in PDAC and its regulation is linked to a poor prognosis. Increased autophagy...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Autophagy in Disease and Therapy
Share to Ferroptosis and cancer prognosis
Share to Pancreatic and Hepatic Oncology Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 35684936
DOI: 10.1002/cam4.4932

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Clustering analysis revealed the autophagy classification and potential autophagy regulators' sensitivity of pancreatic cancer based on multi‐omics dataPMID 35684936Read ↗

Molecular classification and prognosis study of pancreatic ductal adenocarcinoma through multi-omics integrated clustering analysis.Semantic proximity Read ↗

Development of an autophagy-related signature in pancreatic adenocarcinomaSemantic proximity Read ↗

Identification of an autophagy-related gene signature for predicting prognosis and immune activity in pancreatic adenocarcinomaSemantic proximity Read ↗

Mitophagy-mediated molecular subtypes depict the hallmarks of the tumour metabolism and guide precision chemotherapy in pancreatic adenocarcinomaSemantic proximity Read ↗

Identification of Blood-based Non-invasive Biomarkers and Therapeutic Agents against Pancreatic Ductal Adenocarcinoma (PDAC): A Network-based StudySemantic proximity Read ↗

Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypesSemantic proximity Read ↗

Identification of an Autophagy-Related Signature for Predicting Prognoses and Immune Activity in Pancreatic Cancer metastasisSemantic proximity Read ↗

A transcriptomics-based meta-analysis combined with machine learning approach identifies a secretory biomarker panel for diagnosis of pancreatic adenocarcinomaSemantic proximity Read ↗

A prospective prognostic signature for pancreatic adenocarcinoma based on ubiquitination-related mRNA-lncRNA with experimental validation in vitro and vivoSemantic proximity Read ↗

Comprehensive multi-omics profiling identifies novel molecular subtypes of pancreatic ductal adenocarcinomaSemantic proximity Read ↗

Pyroptosis-Related Genes Regulate Proliferation and Invasion of Pancreatic Cancer and Serve as the Prognostic Signature for Modeling Patient SurvivalSemantic proximity Read ↗

Screening and validating the core biomarkers in patients with pancreatic ductal adenocarcinomaSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.