Evidence map›Paper›PMID 33767416›Full record

ReviewBritish journal of cancer2021

Identifying patients eligible for PARP inhibitor treatment: from NGS-based tests to 3D functional assays.

Pierre-Marie Morice, Elodie Coquan, Louis-Bastien Weiswald, Bernard Lambert, Dominique Vaur, Laurent Poulain

Open access · bronzeAbstract readReview
In one paragraph

Review in British journal of cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

17 citing papers in PubMed, 26 citations in OpenAlex.

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  15. Targeting mutations in cancer.The Journal of clinical investigation · 2022
    Review
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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 at 1 institution in 2 countries.

Pierre-Marie MoriceNormandie University, UNICAEN, INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Team (Biology and Innovative Therapeutics for Ovarian Cancers), Caen, France.
Elodie CoquanNormandie University, UNICAEN, INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Team (Biology and Innovative Therapeutics for Ovarian Cancers), Caen, France.
Louis-Bastien WeiswaldNormandie University, UNICAEN, INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Team (Biology and Innovative Therapeutics for Ovarian Cancers), Caen, France.
Bernard LambertNormandie University, UNICAEN, INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Team (Biology and Innovative Therapeutics for Ovarian Cancers), Caen, France.
Dominique VaurUNICANCER, Department of Cancer Biology and Genetics, Comprehensive Cancer Center François Baclesse, Caen, France.
Laurent PoulainNormandie University, UNICAEN, INSERM U1086 ANTICIPE (Interdisciplinary Research Unit for Cancers Prevention and Treatment), BioTICLA Team (Biology and Innovative Therapeutics for Ovarian Cancers), Caen, France. L.POULAIN@baclesse.unicancer.fr.ORCID http://orcid.org/0000-0003-2241-3466
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Within the past few years, poly (ADP-ribose) polymerase inhibitors (PARPi) have been added to the standard of care for cancer patients, mainly for those exhibiting specific genomic alterations in the homologous recombination (HR) pathway. Until now, patients who are eligible to receive PARPi have been identified using next-generation sequencing (NGS) of gene panels. However, NGS analyses do have some limitations, with a subset of patients with negative NGS-based results can exhibit a clinical benefit, responding positively to PARPi, despite the failure to detect dynamic and predictive biomarkers such as mutated BRCA1/2 genes. Furthermore, the sequencing of initial tumour does not allow to detect reversions or secondary mutations that can restore proficient HR and lead to PARPi resistance. Therefore, it is crucial to better identify patients who are likely to benefit from PARPi treatment. In this context, tumour models such as patient-derived xenografts or tumour-derived organoids could help to guide clinicians in their decision making as these models accurately mimic phenotypic and genetic tumour heterogeneity, and could reflect treatment response in an integrative manner. In this Perspective article, we provide an overview of the currently available NGS-based tests that enable the identification of patients who might benefit from PARPi, and outline breakthroughs and discoveries to expand this selection using 3D functional assays. Combining NGS with functional assays could facilitate the efficient identification of patients, thereby improving patient survival.

Indexed as

AnimalsClinical Decision-MakingHigh-Throughput Nucleotide SequencingHomologous RecombinationHumansMutationNeoplasmsOrganoidsPatient SelectionPoly(ADP-ribose) Polymerase InhibitorsSequence Analysis, DNAXenograft Model Antitumor AssaysPoly(ADP-ribose) Polymerase Inhibitors

Identifiers

PMID33767416
PMCPMC8257604
OpenAlexW3136296569

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.