Evidence map›Paper›PMID 41593664›Full record

ArticleJournal of experimental & clinical cancer research : CR2026

Biopsy RNA-seq captures TROP-2-linked migration and clonal resistance to forecast aggressiveness in metastatic melanoma.

Martina Betti, Celeste Accetta, Brindusa Ana Maria Arteni, Anya Rosselli, Elisa Melucci, Paolo Visca, Claudio Botti, Fabio Pelle, Michelangelo Russillo, Virginia Ferraresi and 14 more

Abstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 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

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

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

24 authors.

Martina Betti *Biostatistics, Bioinformatics and Clinical Trial Center, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Celeste Accetta *Department of Pathology Unit, IRCSS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Brindusa Ana Maria ArteniDepartment of Pathology Unit, IRCSS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Anya RosselliBiostatistics, Bioinformatics and Clinical Trial Center, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Elisa MelucciDepartment of Pathology Unit, IRCSS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Paolo ViscaDepartment of Pathology Unit, IRCSS-Regina Elena National Cancer Institute, Rome, 00144, Italy. paolo.visca@ifo.it.
Claudio BottiDepartment of Surgery, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Fabio PelleDepartment of Surgery, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Michelangelo RussilloSarcoma and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Virginia FerraresiSarcoma and Rare Tumors Departmental Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Emilia MiglianoUOSD Plastic and Regenerative Surgery, San Gallicano Dermatological Institute IRCCS, Rome, 00144, Italy.
Marianna CerroDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, 00185, Italy.
Stefano ScaleraBiostatistics, Bioinformatics and Clinical Trial Center, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Francesca De NicolaGene Expression and Cancer Models Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Silvia MatteoniTranslational Oncology Research Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Daniela CovinoTranslational Oncology Research Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Antonino GuerrisiRadiology and Diagnostic Imaging Unit, Department of Clinical and Dermatological Research, San Gallicano Dermatological Institute IRCCS, Rome, 00144, Italy.
Matteo PalloccaIstituto degli Endotipi in Oncologia, Metabolismo e Immunologia National Research Council, Naples, 80131, Italy.
Maurizio FanciulliGene Expression and Cancer Models Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Edoardo PescarmonaDepartment of Pathology Unit, IRCSS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Giovanni BlandinoTranslational Oncology Research Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Rita ManciniDepartment of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, 00161, Italy.
Italia Falcone *Gene Expression and Cancer Models Unit, IRCCS-Regina Elena National Cancer Institute, Rome, 00144, Italy.
Simona Di Martino *Department of Pathology Unit, IRCSS-Regina Elena National Cancer Institute, Rome, 00144, Italy. simona.dimartino@ifo.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnlike many other solid tumors, melanoma cells possess a remarkable ability to dynamically transition between distinct transcriptional states in response to environmental cues or therapeutic pressure. Among the adaptive mechanisms underlying this plasticity, the epithelial-to-mesenchymal transition (EMT) has garnered increasing attention, as it facilitates the shift from a proliferative, epithelial-like phenotype to a more invasive, mesenchymal-like phenotype frequently associated with cellular dormancy, quiescence and resistance to therapy. Despite growing interest in this phenomenon, the characterization of dormant cellular phenotypes and their clinical significance remains incomplete.

methodsIn this study, we adopted a comprehensive approach integrating patient-derived melanoma cell lines, bulk RNA sequencing from tumor biopsies and analysis of independent bulk and single-cell public datasets. This multi-dimensional strategy enabled the identification of a reproducible dichotomy between “proliferative” and “dormant” phenotypes, characterized by distinct levels of mitotic activity and mesenchymal gene expression profiles. By leveraging an eight-gene transcriptional signature, we constructed a “dormancy score” able to stratify tumors along a dormancy–proliferation axis, revealing strong associations with clinical outcomes such as progression-free survival (PFS), overall survival (OS) and response to immunotherapy.

resultsWithin the dormant-associated gene module, the surface glycoprotein TACSTD2 (TROP2) emerged as a central hub gene. TROP2 expression was consistently upregulated in the dormant-like transcriptional state. Supporting these findings, single-cell RNA sequencing data confirmed that TROP2 marks a rare subpopulation of malignant cells that may constitute a quiescent, therapy-resistant niche. Besides, results highlight a predominant intracellular expression of TROP2 in the dormant phenotype.

conclusionsTogether, these findings define a robust dormant phenotype in melanoma with both molecular and clinical significance and evaluate TROP2 as a potential biomarker and therapeutic target for identifying and eradicating dormant and treatment-refractory tumor cells.

Indexed as

Antigens, NeoplasmCell Adhesion MoleculesMelanomaRNA-SeqBiomarkers, TumorCell Line, TumorCell MovementGene Expression Regulation, NeoplasticHumansNeoplasm MetastasisPrognosisAntigens, NeoplasmBiomarkers, TumorCell Adhesion MoleculesTACSTD2 protein, humanBiomarkersCell linesDormancyImmunotherapyMetastatic melanomaRNA-seqTROP2

Identifiers

PMID41593664
PMCPMC12934100

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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.