Evidence map›Paper›PMID 42794595›Full record

ArticleInternational journal of molecular sciences2026

Transcriptomic Profiling of Laser Capture Microdissected FFPE Esophageal Tissues Identifies Candidate Genes and Pathways Associated with Esophageal Adenocarcinoma.

Md Sazzad Hassan, Matthew Guggenbiller, Annie Ritter, Elizabeth Heffernan, Jun Li, Min Yan, Niranjan Awasthi, Urs von Holzen

Abstract read
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Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Md Sazzad HassanDepartment of Surgery, Indiana University School of Medicine, South Bend, IN 46617, USA.ORCID 0000-0001-6309-9616
Matthew GuggenbillerCollege of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Annie RitterCollege of Science, University of Notre Dame, Notre Dame, IN 46556, USA.
Elizabeth HeffernanCollege of Science, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0009-0004-9970-9411
Jun LiCollege of Science, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0003-4353-5761
Min YanGoshen Center for Cancer Care, Goshen, IN 46526, USA.
Niranjan AwasthiDepartment of Surgery, Indiana University School of Medicine, South Bend, IN 46617, USA.
Urs von HolzenDepartment of Surgery, Indiana University School of Medicine, South Bend, IN 46617, USA.

Funding

American Cancer Society ACS, #IRG-14-195-01
6 · The paper itself

Abstract

Esophageal adenocarcinoma (AC) incidence has increased markedly in the United States and other Western countries over recent decades. Gastro-esophageal reflux disease (GERD) can cause Barrett's esophagus, which is strongly associated with the development of AC. However, the mechanisms underlying the pathogenesis of AC remain poorly elucidated. In this exploratory pilot study, we performed transcriptomic profiling by RNA sequencing (RNA-seq) on six normal esophagus (WT), four Barrett's esophagus with low-grade dysplasia (BL), and six esophageal adenocarcinoma (AC) samples using RNA extracted via laser capture microdissection (LCM) of histologically confirmed formalin-fixed paraffin-embedded (FFPE) esophageal biopsies. Differential gene expression analysis demonstrated partial separation according to histological group, with overlap between BL and AC. BL and AC groups displayed a multitude of differentially expressed genes relative to WT samples; however, fewer differentially expressed genes were found when comparing BL and AC groups. We identified 3062 differentially expressed genes across comparisons (2289 WT vs. AC; 1854 WT vs. BL; 130 BL vs. AC). Using KEGG pathway analysis and functional annotation, candidate genes and pathways were identified. Genes related to the extracellular matrix, focal adhesion, and PI3K-AKT pathways were upregulated in BL and AC versus WT, while genes relating to keratinization, Ras/Rap1, and Hippo signaling were downregulated in BL and AC versus WT. A small set of genes (e.g., ANPEP, REG4, MEP1A) distinguished BL from AC and represent differentially expressed candidates for further investigation. This exploratory transcriptomic profiling provides insights into gene expression changes associated with AC pathogenesis and identifies candidate genes and pathways that warrant independent validation by qRT-PCR, immunohistochemistry, and functional studies.

Indexed as

AdenocarcinomaEsophageal NeoplasmsEsophagusGene Expression ProfilingTranscriptomeBarrett EsophagusFemaleGene Expression Regulation, NeoplasticHumansLaser Capture MicrodissectionMaleParaffin EmbeddingSignal TransductionBarrett’s esophagusdysplasiaesophageal adenocarcinomagastro-esophageal reflux diseaselaser capture microdissectionRNA sequencing

Identifiers

PMID42794595
PMCPMC13607975

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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.