Evidence map›Paper›PMID 40873563›Full record

ArticleFrontiers in immunology2025

Clonal divergence and genomic meltdown in prostatic pleomorphic giant cell adenocarcinoma.

Xiaoshi Ma, Kun Chen, Jing Zhang, Liming Liu, Jiping Luo, Kaipeng Huang, Hongying Zhang, Danni Liu, Jizhou Gou, Changyin Feng and 6 more

Abstract readCase Reports
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Xiaoshi Ma *Department of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Kun Chen *Cancer Hospital Affiliated to Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Prevention and Control, Nanjing, Jiangsu, China.
Jing Zhang *Department of Bioinformatics, HaploX Biotechnology, Shenzhen, Guangdong, China.
Liming LiuDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Jiping LuoDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Kaipeng HuangDepartment of Pathology, Shenzhen People's Hospital (The First Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Hongying ZhangDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Danni LiuDepartment of Bioinformatics, HaploX Biotechnology, Shenzhen, Guangdong, China.
Jizhou GouDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Changyin FengDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Xia ZhaoDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Wanying LiDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.
Lipeng ChenDepartment of Experimental Research, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Li YinCancer Hospital Affiliated to Nanjing Medical University and Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Prevention and Control, Nanjing, Jiangsu, China.
Xianlin MengDepartment of Laboratory, Tianjin Fifth Central Hospital (Peking University BinHai Hospital), Tianjin, China.
Zhiqiang ChengDepartment of Pathology, Shenzhen Third People's Hospital (The Second Affiliated Hospital of Southern University of Science and Technology), Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pleomorphic giant cell adenocarcinoma (PGCA) of the prostate is a rare, aggressive variant characterized by multinucleated giant cells, sarcomatoid features, and resistance to conventional therapies. Despite its recognition in the WHO 2016 guidelines, the molecular drivers and clinicopathological correlates of PGCA remain poorly characterized. This study presents the first integrative clinicogenomic profiling of PGCA, revealing a novel prognostic gene signature with direct implications for diagnosis and treatment. Methods: We conducted comprehensive clinicopathological and genomic analyses of a treatment-refractory PGCA case using histology, immunohistochemistry (IHC), whole-exome sequencing (WES), clonal evolution modeling, and multicohort validation. IHC assessed key prostate cancer markers (AR, AMACR, KLK3, PTEN, NKX3-1, VIM), while WES compared somatic alterations in PGCA, adjacent adenocarcinoma, and stromal tissue. Public datasets (prostate_dkfz_2018, prad_tcga, prad_mcspc_mskcc_2020) were used for external validation. Results: PGCA displayed profound pleomorphism, necrosis, and complete loss of luminal markers (AR/AMACR/KLK3), along with strong vimentin (VIM) expression, consistent with epithelial-mesenchymal transition. WES revealed PGCA-specific mutations enriched in cell-cycle and inflammatory response pathways, distinct from metabolic alterations in the adjacent adenocarcinoma. Clonal evolution analysis showed divergent progression from a shared ancestral clone. Importantly, mutations in ADAMTS7, CDH1, DRD5, MGAT5, and TP53 emerged as a robust five-gene signature predictive of biochemical recurrence, metastasis, and poor survival, validated across multiple independent cohorts. Conclusion: Our study provides the first molecular roadmap of prostatic PGCA to date, establishing a novel five-gene prognostic signature and revealing fundamental insights into its pathogenesis through divergent evolution from conventional adenocarcinoma. These insights offer new opportunities for precise diagnosis, prognostic stratification, and targeted therapeutic strategies for this lethal prostate cancer variant.

Indexed as

AdenocarcinomaBiomarkers, TumorClonal EvolutionGiant CellsProstatic NeoplasmsAgedExome SequencingGenomicsHumansMaleMutationPrognosisBiomarkers, Tumorapoptosiscell cycledivergent tumor evolutionpleomorphic giant cell adenocarcinomaprostate cancer genomicstherapeutic resistance biomarkers

Identifiers

PMID40873563
PMCPMC12378786

What Socratic holds

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LicenceCC BY
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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 Socratic graph.