Evidence map›Paper›PMID 40556667›Full record

ArticleFrontiers in oncology2025

Clinical outcomes of DNA-damaging agents and DNA damage response inhibitors combinations in cancer: a data-driven review.

Rick Fontenot, Neha Biyani, Kishor Bhatia, Reggie Ewesuedo, Marc Chamberlain, Panna Sharma

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

6 authors.

Rick Fontenot *Lantern Pharma Inc., Dallas, TX, United States.
Neha Biyani *Lantern Pharma Inc., Dallas, TX, United States.
Kishor BhatiaLantern Pharma Inc., Dallas, TX, United States.
Reggie EwesuedoLantern Pharma Inc., Dallas, TX, United States.
Marc ChamberlainLantern Pharma Inc., Dallas, TX, United States.
Panna SharmaLantern Pharma Inc., Dallas, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The combination of DNA-damaging agents (DDAs) and DNA damage response inhibitors (DDRis) has been extensively studied to improve therapeutic outcomes. While both groups of agents show promise individually, DDAs are limited by tumor resistance, and DDRis are limited by specific genetic context. Combining DDAs with DDRis may overcome these challenges and enhance patient outcomes. This review systematically analyzes clinical trials investigating the combination of DDAs and DDRis by dividing them into two sections: PARP and non-PARP inhibitors. An evaluation was conducted on 221 DDA-DDRi combination-arm trials involving 22 DDAs and 46 DDRis. DDAs were classified into eight subclasses, and DDRis into 14 distinct subclasses based on their mechanisms of action and specific targets, respectively. 89 of the 221 combination-arm trials had interpretable outcomes and were selected for further analysis. These were assigned outcome scores based on predefined criteria, reflecting their clinical effectiveness, safety, and benefit across different tumor types and patient populations. Our analysis emphasizes the patterns in treatment effectiveness, safety, and emerging trends across various cancer types and discusses the potential of biomarkers to guide treatment selection and improve patient outcomes. This review outlines an understanding of the recent state of DDA-DDRi combinations, offering critical insights for refining future cancer treatment strategies.

Indexed as

biomarkerscancer treatmentclinical trialscombination therapyDNA damage response inhibitorsDNA-damaging agentsDNA repair pathwaysPARP inhibitors

Identifiers

PMID40556667
PMCPMC12185500

What OpenQuestion holds

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LicenceCC BY
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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.