Evidence map›Paper›PMID 40555563›Full record

ArticleJournal for immunotherapy of cancer2025

Potentiation of cancer immunogenicity by targeting PARP.

Dominik Humer, Victoria Klepsch, Gottfried Baier

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
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

3 authors.

Dominik HumerCell Genetics, Medical University of Innsbruck, Innsbruck, Tirol, Austria.ORCID http://orcid.org/0009-0008-2167-9346
Victoria KlepschCell Genetics, Medical University of Innsbruck, Innsbruck, Tirol, Austria.ORCID http://orcid.org/0000-0003-4146-4664
Gottfried BaierCell Genetics, Medical University of Innsbruck, Innsbruck, Tirol, Austria Gottfried.Baier@i-med.ac.at.ORCID http://orcid.org/0000-0002-2085-8325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A team of scientists led by Quigley Goa demonstrates that Poly(ADP-ribose) polymerase (PARP) inhibitors (PARPi) can induce tumor cell death in a manner that allows immune cells to better recognize and attack the tumor. Specifically, PARPi are approved for the treatment of tumors with homologous recombination repair defects. Due to their pre-existing DNA repair defects, PAPRi appear to be a pharmacological tool to induce immunogenic cell death (ICD). Remarkably, therefore, both increased tumor neoantigen generation and reprogramming of the tumor immune microenvironment to an immunostimulatory state antagonize impending immunosuppression and consequently promote enhanced antitumor immunity. This finding strongly supports PARPi targeting as a promising approach to alleviate intratumoral effector T cell immune dysfunction, particularly in the context of immunotherapy resistance. In conclusion, this well-defined relationship between PARPi-based chemotherapy and ICD of tumor cells may offer substantial potential as a valuable sensitizer for future combinatorial cancer immunotherapy, which together with immune checkpoint therapy, but potentially also with others including cancer vaccines, is likely to be more effective against defined solid tumors and better promote host-protective cancer immune control (see related article by Xia

Indexed as

ImmunotherapyNeoplasmsPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesAnimalsHumansTumor MicroenvironmentPoly(ADP-ribose) Polymerase InhibitorsPoly(ADP-ribose) PolymerasesImmunosuppressionImmunotherapyTumor microenvironment - TME

Identifiers

PMID40555563
PMCPMC12198780

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.