Evidence map›Paper›PMID 42435174›Full record

ReviewAdvances in experimental medicine and biology2026

Cell-Free DNA (cfDNA), Its Applications in Cancer Diagnosis and Monitoring, and Its Potential Role in Regulating Cancer Metabolism.

Catarina Freitas-Dias, Isabel Lemos, Stefano Mazzoleni, Jacinta Serpa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in experimental medicine and biology, 2026. 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

4 authors.

Catarina Freitas-Dias *iNOVA4Health, NOVA Medical School | Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisboa, Portugal.
Isabel Lemos *iNOVA4Health, NOVA Medical School | Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisboa, Portugal.
Stefano MazzoleniiNOVA4Health, NOVA Medical School | Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisboa, Portugal.
Jacinta SerpaLab Applied Ecology and System Dynamics, Dip. Agraria, Università di Napoli "Federico II", Portici (NA), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell-free DNA (cfDNA) has emerged as a valuable biomarker in cancer diagnosis, monitoring, and prognosis. cfDNA refers to small fragments of DNA that are released into the bloodstream from tumor cells, normal cells, or dying cells within the body. In the context of cancer, circulating tumor DNA (ctDNA), a subset of cfDNA, contains tumor-specific genetic mutations, epigenetic alterations, and structural variations that can be used to detect the presence of cancer, track disease progression, and assess therapeutic response. Beyond its diagnostic potential, cfDNA plays a significant role in the regulation of cancer cell features and potentially cancer metabolism. Recent studies suggest that cfDNA is not merely a passive byproduct of cellular turnover but may actively influence tumor microenvironments, inflammation, and metabolic pathways, thereby impacting cancer progression. This review explores the clinical utility of cfDNA in cancer, its emerging role in metabolic regulation, and its potential to transform personalized cancer therapy by providing non-invasive, real-time insights into tumor dynamics.

Indexed as

Biomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNANeoplasmsAnimalsHumansTumor MicroenvironmentBiomarkers, TumorCell-Free Nucleic AcidsCirculating Tumor DNACancer metabolic remodelingCell-free DNA (cfDNA)Circulating tumor DNA (ctDNA)Epigenetic controlToll-Like receptors (TLR)

Identifiers

What OpenQuestion holds

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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 OpenQuestion graph.