Evidence map›Paper›PMID 40561796›Full record

ReviewTranslational oncology2025

Leveraging liquid biopsy to uncover resistance mechanisms and guide personalized immunotherapy.

Zeinab Dalloul, Jana Grenel Briend, Mariama Diawara, Catherine Taylor, Rodney J Ouellette

Abstract readReview
In one paragraph

Review in Translational oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Zeinab DalloulAtlantic Cancer Research Institute, Moncton, New Brunswick, Canada.
Jana Grenel BriendAtlantic Cancer Research Institute, Moncton, New Brunswick, Canada.
Mariama DiawaraAtlantic Cancer Research Institute, Moncton, New Brunswick, Canada.
Catherine TaylorAtlantic Cancer Research Institute, Moncton, New Brunswick, Canada.
Rodney J OuelletteAtlantic Cancer Research Institute, Moncton, New Brunswick, Canada; Department of Chemistry and Biochemistry, Université de Moncton, Moncton, New Brunswick, Canada; Dr Georges L. Dumont University Hospital, Vitalite Health Network, Moncton, New Brunswick, Canada; Beatrice Hunter Cancer Research Institute, Halifax, Nova Scotia, Canada. Electronic address: rodney.ouellette@vitalitenb.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer therapy has been revolutionized by immune checkpoint inhibitors (ICIs) that create a new paradigm among cancer immunotherapies. These agents restore the immune system capacity to fight cancer through blocking the action of major immune checkpoint proteins that suppress immune responses such as programmed cell death protein 1 (PD-1), programmed death-ligand 1 (PD-L1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), which tumors exploit for immune escape. Another advancement is the absence of known biomarkers involves ICIs, which can further be translated into new liquid tests like liquid biopsies, indicating the immune status of the patient. Liquid biopsy is a minimally invasive method for identifying tumor-derived components such as circulating tumor cells, cell-free DNA and extracellular vesicles (EVs) from body fluids for analysis. Researchers increasingly use liquid biopsy for biomarkers discovery and patient stratification into clinical applications. Even though immunotherapy has great advances, still there are obstacles faced while using ICIs. Many patients fail to respond to the treatment because of the heterogeneous mechanisms of resistance. Immunotherapy resistance is a dynamic interplay between tumors and their surrounding stroma. To understand this variability, humanized mice models are increasingly used for mirroring human immune responses. Such models offer insight into cancer immunotherapy when human immune system is engrafted into mice, and EV and biomarker profiles are established in those models. EVs reflect differences in tumor characteristics and the immune landscape around tumors to develop personalized strategies to enhance ICI efficacy. This may improve patient prognosis, giving reason to hope for better, more effective treatments.

Indexed as

BiomarkersExtracellular vesiclesImmune checkpoint inhibitorsImmunotherapyLiquid biopsyResistance

Identifiers

PMID40561796
PMCPMC12264632

What OpenQuestion holds

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Registered trials

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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.