Evidence map›Paper›PMID 40597801›Full record

ArticleBMC cancer2025

Landscape of cancer associated EpCAM mutations: molecular modeling, predictive insights and impact on patient survival.

Priyanka S Dhotare, Audrey C Bochi-Layec, Timothy P Fleming, William E Gillanders, Ross M Bremner, Kailas D Sonawane, Narendra V Sankpal

Abstract read
In one paragraph

Article in BMC cancer, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. 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

7 authors.

Priyanka S DhotareShivaji University, Kolhapur, 416004, India.
Audrey C Bochi-LayecSchool of Medicine, Washington University, St. Louis, 63110, USA.
Timothy P FlemingNorton Thoracic Institute, St. Joseph's Hospital and Medical Center, 124 W Thomas Road, Suite 105, Phoenix, AZ, 85013, USA.
William E GillandersSchool of Medicine, Washington University, St. Louis, 63110, USA.
Ross M BremnerNorton Thoracic Institute, St. Joseph's Hospital and Medical Center, 124 W Thomas Road, Suite 105, Phoenix, AZ, 85013, USA.
Kailas D SonawaneShivaji University, Kolhapur, 416004, India. kds_biochem@unishivaji.ac.in.
Narendra V SankpalNorton Thoracic Institute, St. Joseph's Hospital and Medical Center, 124 W Thomas Road, Suite 105, Phoenix, AZ, 85013, USA. narendra.sankpal@commonspirit.org.ORCID http://orcid.org/0000-0001-6987-8143

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEpCAM (epithelial cell adhesion molecule) is a key regulator of epithelial cell-cell adhesion, signal transduction, tissue regeneration, and serves as a stem cell marker. It is frequently overexpressed in epithelial cancers and is linked to tumor progression, survival, and metastasis. However, the functional impact of EpCAM mutations in cancer remains poorly understood.

methodsTo investigate the role of EpCAM mutations, we performed a comprehensive analysis of cancer cohorts from multiple genomic datasets, identifying novel somatic EpCAM mutations across diverse epithelial cancers. Using bioinformatics tools (SIFT, PolyPhen-2, Mutation Assessor) and molecular modeling, we assessed the potential impact of these mutations. Further, homology modeling and all-atom molecular dynamics (MD) simulations were conducted to evaluate structural changes. From an analysis of 300 studies comprising 300,300 cancer samples, we identified 160 recurrent somatic mutations across epithelial cancers. Of these, seven mutations most frequently associated with lung cancer were further validated through molecular dynamics simulations, evaluation of ERK signaling activity, and assessment of sensitivity to the MEK inhibitor Trametinib.

resultsOur findings revealed that cancer-associated mutations, particularly in the TY-1 and RCD regions, induce structural instability in EpCAM, leading to altered functional properties. Patient cohort analyses indicated that EpCAM mutations correlate with reduced survival rates in colon and hepatocellular carcinoma and contribute to early tumor progression in lung cancer. Moreover, introducing these mutations into lung cancer cells enhanced their sensitivity to MEK inhibitors, suggesting a potential therapeutic vulnerability.

conclusionThis study provides novel insights into the structural and functional consequences of EpCAM mutations in cancer, demonstrating their association with reduced survival, tumor progression, and drug sensitivity. These findings highlight EpCAM as a promising therapeutic target in epithelial cancers.

Indexed as

Epithelial Cell Adhesion MoleculeMutationNeoplasmsComputational BiologyHumansMolecular Dynamics SimulationPrognosisEPCAM protein, humanEpithelial Cell Adhesion MoleculeCancerEpCAMMolecular modellingMutation

Identifiers

PMID40597801
PMCPMC12211971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.