Evidence map›Paper›PMID 39725462›Full record

ArticleGut2025

Mutational signatures define immune and Wnt-associated subtypes of ampullary carcinoma.

Ekaterina Zhuravleva, Monika Lewinska, Colm J O'Rourke, Antonio Pea, Asif Rashid, Ann W Hsing, Andrzej Taranta, David Chang, Yu-Tang Gao, Jill Koshiol and 2 more

Abstract read
In one paragraph

Article in Gut, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Rare, Yet Targetable: New Perspectives on Ampullary Carcinomas.International journal of molecular sciences · 2026
    Review
  4. Article
  5. 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

12 authors.

Ekaterina ZhuravlevaBiotech Research and Innovation Center (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Monika LewinskaBiotech Research and Innovation Center (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-5275-992X
Colm J O'RourkeBiotech Research and Innovation Center (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Antonio PeaUniversity of Glasgow, Wolfson Wohl Cancer Research Centre, School of Cancer Sciences, Glasgow, UK.
Asif RashidDepartment of Pathology, Division of Pathology/Lab Medicine, MD Anderson Cancer Center, The University of Texas, Houston, Texas, USA.
Ann W HsingStanford Cancer Institute and Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Palo Alto, California, USA.
Andrzej TarantaBiotech Research and Innovation Center (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
David ChangUniversity of Glasgow, Wolfson Wohl Cancer Research Centre, School of Cancer Sciences, Glasgow, UK.
Yu-Tang GaoDepartment of Epidemiology, Shanghai Cancer Institute, Shanghai, Shanghai, China.
Jill KoshiolDivision of Cancer Epidemiology and Genetics, NIH, Rockville, Maryland, USA.ORCID 0000-0002-3832-6204
Rui Caetano OliveiraCentro Hospitalar de Coimbra, Universitário de Coimbra, Coimbra, Portugal.
Jesper B AndersenBiotech Research and Innovation Center (BRIC), Department of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark jesper.andersen@bric.ku.dk.ORCID 0000-0003-1760-5244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveAmpullary carcinoma (AMPAC) taxonomy is based on morphology and immunohistochemistry. This classification lacks prognostic reliability and unique genetic associations. We applied an approach of integrative genomics characterising patients with AMPAC exploring molecular subtypes that may guide personalised treatments.

designWe analysed the mutational landscapes of 170 patients with AMPAC. The discovery included 110 tumour/normal pairs and the validation comprised 60 patients. In a tumour subset, we interrogated the transcriptomes and DNA methylomes. Patients were stratified based on mutational signatures and associated with molecular and clinical features. To evaluate tumour and immune cellularity, 22 tumours were independently assessed histomorphologically and by digital pathology.

resultsWe defined three patient clusters by mutational signatures independent of histomorphology. Cluster 1 (C1) was defined by spontaneous deamination of DNA 5-methylcytosine and defective mismatch repair. C2 and C3 were related to the activity of transcription-coupled nucleotide excision repair but C3 was further defined by the polymerase eta mutational process. C1-2 showed enrichment of Wnt pathway alterations, aberrant DNA methylation profiles, immune cell exclusion and patients with poor prognosis. These features were associated with a hypermutator phenotype caused by C>T alterations at CpGs. C3 patients with improved overall survival were associated with activation of immune-related pathways, immune infiltration and elevated expression of immunoinhibitory checkpoint genes.

conclusionImmunogenicity and Wnt pathway associations, emphasised by the mutational signatures, defined patients with prospective sensitivity to either immunotherapy or Wnt pathway inhibitors. This emphasises a novel mutational signature-based AMPAC classification with prognostic potential, suggesting prospective implications for subgroup-specific management of patients with AMPAC.

Indexed as

Ampulla of VaterCommon Bile Duct NeoplasmsAgedAged, 80 and overDNA MethylationFemaleHumansMaleMiddle AgedMutationPrognosisWnt Signaling PathwayADENOCARCINOMAGASTROINTESTINAL CANCERMETHYLATIONMOLECULAR ONCOLOGY

Identifiers

PMID39725462
PMCPMC12013699

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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.