Evidence map›Paper›PMID 41225537›Full record

ReviewMolecular cancer2025

Decoding cancer dormancy: integrative genomic, phenotypic and live-cell imaging analysis to reveal the hidden cancer cell reservoir.

Gaetana Porcelli, Caterina D'Accardo, Francesca Angeloro, Martina Cucchiara, Paola Bianca, Vincenzo Davide Pantina, Narges Roozafzay, Chiara Modica, Miriam Gaggianesi, Sebastiano Di Bella and 3 more

Abstract readReview
In one paragraph

Review in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

13 authors.

Gaetana Porcelli *Department of Health Promotion Sciences, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, 90127, Italy.
Caterina D'Accardo *Department of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C), University of Palermo, Palermo, 90127, Italy.
Francesca AngeloroDepartment of Health Promotion Sciences, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, 90127, Italy.
Martina CucchiaraDepartment of Health Promotion Sciences, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, 90127, Italy.
Paola BiancaAzienda Ospedaliera Universitaria Policlinico "Paolo Giaccone" (AOUP), Palermo, Italy.
Vincenzo Davide PantinaDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C), University of Palermo, Palermo, 90127, Italy.
Narges RoozafzayDepartment of Health Promotion Sciences, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, 90127, Italy.
Chiara ModicaDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C), University of Palermo, Palermo, 90127, Italy.
Miriam GaggianesiDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C), University of Palermo, Palermo, 90127, Italy.
Sebastiano Di BellaDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C), University of Palermo, Palermo, 90127, Italy.
Giorgio StassiDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C), University of Palermo, Palermo, 90127, Italy.
Alice Turdo *Department of Health Promotion Sciences, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, 90127, Italy. alice.turdo@unipa.it.
Matilde Todaro *Department of Health Promotion Sciences, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, 90127, Italy. matilde.todaro@unipa.it.

Funding

AIRC IG 2024 (30306)European Union - NextGenerationEU initiative under the Italian Ministry of University and Research as a part of the PNRR-M4C2-l1.3 Project PE00000019 'HEAL ITALIA' CUP B73C22001250006Ministero dell'Università e dalla Ricerca (MUR) PRIN (20223NY37M)PNRR-Ministero della salute PNRR-MCNT1-2023-12377772
6 · The paper itself

Abstract

Metastases represent one of the hardest obstacles in cancer treatment, accounting for many cancer-related deaths. Understanding the mechanisms that drive disease progression is essential to improve patient outcomes and develop more effective therapeutic strategies. This phenomenon appears to be elicited by dormant cancer cells (DCCs), which can persist undetected for extended periods of time, entering a non-proliferative, hibernation-like state that confers resistance to conventional therapies and facilitates immune evasion.Owing to their status as a rare and energy-restricted population, combined with the limitations of current medical imaging, DCCs often evade early detection, hindering timely intervention and effective clinical management. Consequently, a critical need exists to develop high-resolution detection systems and identify specific DCC targetable biomarkers.Here, a comprehensive overview of the current understanding of DCCs is reported, with a focus on recent advancements in experimental strategies for their identification and tracking, as well as therapeutic approaches currently under clinical investigation aimed at targeting these elusive cells.

Indexed as

GenomicsNeoplasmsAnimalsBiomarkers, TumorCell TrackingHumansNeoplasm MetastasisPhenotypeBiomarkers, TumorAnti-cancer therapeutic strategiesDormancyDormancy live trackerDormant cell markersImmune evasionMetastasis

Identifiers

PMID41225537
PMCPMC12613550

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.