Evidence map›Paper›PMID 41408108›Full record

ArticleScientific reports2025

Metabolic profiling of therapy-induced senescent cancer cells via TPEF, MALDI-MS, and RNA-sequencing.

Silvia Ghislanzoni, Federica Padelli, Matteo Niero, Alessia Bertolotti, Antonino Belfiore, Simone Torelli, Arianna Bresci, Andrea Masella, Silvia Betti, Dario Polli and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

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

12 authors.

Silvia GhislanzoniDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy.
Federica PadelliDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy.
Matteo NieroDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy.
Alessia BertolottiDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy.
Antonino BelfioreDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy.
Simone TorelliDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy.
Arianna BresciPhysics Department, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy.
Andrea MasellaDatrix S.p.A, Foro Buonaparte 71, Milan, 20121, Italy.
Silvia BettiPhysics Department, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy.
Dario PolliPhysics Department, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy.
Luca AgnelliDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy.
Italia BongarzoneDepartment of Diagnostic Innovation, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian 1, Milan, 20133, Italy. italia.bongarzone@istitutotumori.mi.it.

Funding

European Union's Horizon 2020 research and innovation program 101016923Italian Ministry of Public Health RF 2019-12370456
6 · The paper itself

Abstract

Despite advances in cancer therapies, treatment failure from resistance and recurrence remains a major clinical challenge. Therapy-induced senescence (TIS), a state of stable cell cycle arrest with sustained metabolic activity, has emerged as a driver of inflammation, tumor persistence, and relapse. However, the heterogeneity of TIS complicates its detection and targeting. Here, we applied a multi-modal strategy to characterize metabolic alterations in senescent cancer cells induced by doxorubicin or γ-irradiation across three tumor cell lines: MCF7, HeLa, and TPC-1. Mitochondrial dysfunction was assessed using MitoTracker and JC-1 staining, while two-photon excitation fluorescence (TPEF) microscopy enabled label-free visualization of intracellular NAD(P)H and FAD distribution. Lipid remodeling was evaluated by MALDI mass spectrometry imaging, and RNA sequencing was performed on control, senescent, and engulfing-senescent MCF7 cells to identify differentially expressed genes and enriched pathways. Senescent cells displayed mitochondrial dysfunction, with altered NAD(P)H/FAD distribution and decreased membrane potential. TPEF confirmed redistribution of coenzymes, reflecting redox changes. Lipidomics revealed consistent remodeling, notably involving cardiolipin precursors. Transcriptomic profiling showed engulfing-senescent MCF7 cells possess a distinct signature marked by increased lipid metabolism, endocrine signaling, and cell-cell communication. Overall, our findings reveal conserved and cell type-specific metabolic traits of TIS, highlighting metabolic vulnerabilities for senolytic intervention.

Indexed as

Cellular SenescenceMetabolomeMetabolomicsNeoplasmsCell Line, TumorDoxorubicinHeLa CellsHumansMCF-7 CellsMitochondriaSequence Analysis, RNASpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationDoxorubicinBreast cancerEngulfingSenescence

Identifiers

PMID41408108
PMCPMC12823619

What Socratic holds

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LicenceCC BY
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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.