Evidence map›Paper›PMID 41361079›Full record

ReviewOncogene2026

Molecular stratification of esophageal adenocarcinoma: implications for prognosis and treatment strategy.

Rita Pinto, Ingrid Vikan Sjurgard, Heidi Pharo, Tom Mala, Hege Marie Vedeld, Guro Elisabeth Lind

Abstract readReview
In one paragraph

Review in Oncogene, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Rita PintoDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, the Norwegian Radium Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-7213-3801
Ingrid Vikan SjurgardDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, the Norwegian Radium Hospital, Oslo, Norway.ORCID http://orcid.org/0009-0005-9553-7824
Heidi PharoDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, the Norwegian Radium Hospital, Oslo, Norway.ORCID http://orcid.org/0000-0002-7865-7091
Tom MalaDepartment of Pediatric and Gastrointestinal Surgery, Oslo University Hospital, Ullevål, Oslo, Norway.
Hege Marie VedeldDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, the Norwegian Radium Hospital, Oslo, Norway.
Guro Elisabeth LindDepartment of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, the Norwegian Radium Hospital, Oslo, Norway. guroli@uio.no.ORCID http://orcid.org/0000-0003-4643-9345

Funding

Kreftforeningen (Norwegian Cancer Society) 216129Kreftforeningen (Norwegian Cancer Society) 220115Kreftforeningen (Norwegian Cancer Society) 220115: the Norwegian Esophageal Cancer Consortium - NORECaKreftforeningen (Norwegian Cancer Society) 223073
6 · The paper itself

Abstract

Genome-wide molecular profiling has emerged as a promising approach for advancing the clinical management of esophageal adenocarcinoma (EAC), with the potential to improve prognostic accuracy and enable more personalized treatment strategies. In this review, we summarize current evidence from genomic and epigenomic EAC stratification studies, highlighting the proposed molecular subtypes and evaluating their clinical relevance. We discuss how these subclassifications may inform disease outcomes, refine patient selection for specific therapies and uncover new treatment opportunities aligned with tumor molecular profiles. Additionally, we explore molecular subtypes associated with Barrett's esophagus, a precursor lesion of EAC, and consider how these insights can help elucidate the mechanisms underlying EAC development. Such understanding may inform improved strategies for early tumor detection, risk stratification and prevention, ultimately aiming to reduce the burden of EAC. We also address the current challenges limiting the clinical application of these molecular classifiers, including restricted sample availability, insufficient validation and the difficulty of translating genome-wide findings into practical and clinical useful biomarkers. Integrating molecular subtyping into clinical workflows is a key step toward precision medicine in EAC, with the goal of enhancing treatment response rates and patient outcomes. Future advances will require collaborative efforts and robust clinical validation in large prospective studies to ensure that molecular stratification strategies can be effectively translated into improved management of EAC.

Indexed as

AdenocarcinomaBiomarkers, TumorEsophageal NeoplasmsBarrett EsophagusHumansPrecision MedicinePrognosisBiomarkers, Tumor

Identifiers

PMID41361079
PMCPMC12795758

What OpenQuestion holds

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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.