Evidence map›Paper›PMID 42426456›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2026

Liquid Biopsies and Molecular Imaging for Precise Cancer Management.

Angelo Castello, Matteo Caracciolo, Mirco Bartolomei, Massimo Castellani, Egesta Lopci

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 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

5 authors.

Angelo CastelloNuclear Medicine Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Matteo CaraccioloNuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, 44124,, Ferrara, Italy.
Mirco BartolomeiNuclear Medicine Unit, Oncological Medical and Specialists Department, University Hospital of Ferrara, 44124,, Ferrara, Italy.
Massimo CastellaniNuclear Medicine Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.
Egesta LopciNuclear Medicine Unit, IRCCS-Humanitas Research Hospital, Rozzano, Italy. egesta.lopci@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last years, several body fluid-based tests, able to detect molecular alterations derived from tumors, have been proposed, and numerous others are in continuous development. These tests, commonly referred to as "liquid biopsies," encompass a wide spectrum of diagnostic procedures, such as circulating tumor cells (CTCs), cell-free circulating tumor DNA (ctDNA), circulating tumor-derived exosome, and other biomarkers, whose detection can offer precious information about tumor volume and disease status. Nevertheless, these novel biomarkers have limited sensitivity and specificity when used alone. In this scenario, molecular imaging with positron emission tomography (PET), due to its wide availability and the consolidated role in cancer patients' management, could be coupled with liquid biopsy for cancer characterization, patient stratification, and the early detection of recurrence. In this chapter, we will focus on studies that combine liquid biopsy and PET-based parameters across different cancer types and therapeutic settings.

Indexed as

Molecular ImagingNeoplasmsBiomarkers, TumorCirculating Tumor DNAHumansLiquid BiopsyNeoplastic Cells, CirculatingPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisBiomarkers, TumorCirculating Tumor DNACell-free nucleic acidsCirculating tumor cellsCirculating tumor DNALiquid biopsyPET/CTPositron emission tomographyPrognosisResponse to treatment

Identifiers

What OpenQuestion holds

Textmetadata
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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.