Evidence map›Paper›PMID 36862804›Full record

ArticleCancer discovery2023

Integrative Pan-Cancer Genomic and Transcriptomic Analyses of Refractory Metastatic Cancer.

Yoann Pradat, Julien Viot, Andrey A Yurchenko, Konstantin Gunbin, Luigi Cerbone, Marc Deloger, Guillaume Grisay, Loic Verlingue, Véronique Scott, Ismael Padioleau and 13 more

Open access · hybridAbstract read
In one paragraph

Article in Cancer discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
15.3field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 60 citations in OpenAlex.

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  14. Long and Accurate: How HiFi Sequencing is Transforming Genomics.Genomics, proteomics & bioinformatics · 2025
    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

23 authors at 4 institutions in 1 country.

Yoann PradatUniversité Paris-Saclay, CentraleSupélec, MICS lab, Gif-Sur-Yvette, France.ORCID 0000-0002-4647-5779
Julien ViotGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0001-7792-0110
Andrey A Yurchenko *Université Paris-Saclay, Gustave Roussy, Inserm U981, Villejuif, France.ORCID 0000-0002-2239-6902
Konstantin Gunbin *Université Paris-Saclay, Gustave Roussy, Inserm U981, Villejuif, France.ORCID 0000-0003-1851-8169
Luigi Cerbone *Gustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0003-0663-244X
Marc Deloger *Gustave Roussy, Université Paris-Saclay, Bioinformatics Core Facility, Inserm US23, CNRS UMS 3655, Villejuif, France.ORCID 0000-0002-6352-101X
Guillaume GrisayGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0002-2784-8576
Loic VerlingueGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0002-5694-4022
Véronique ScottGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0001-5483-4981
Ismael PadioleauUniversité Paris-Saclay, Gustave Roussy, Inserm U981, Villejuif, France.ORCID 0000-0003-4935-3248
Leonardo PanunziUniversité Paris-Saclay, Gustave Roussy, Inserm U981, Villejuif, France.ORCID 0000-0002-5770-7037
Stefan MichielsUniversité Paris-Saclay, UVSQ, Inserm, CESP, Villejuif, France.ORCID 0000-0002-6963-2968
Antoine HollebecqueGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0003-2869-7551
Gérôme Jules-ClémentGustave Roussy, Université Paris-Saclay, Bioinformatics Core Facility, Inserm US23, CNRS UMS 3655, Villejuif, France.ORCID 0000-0002-6719-532X
Laura MezquitaGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0003-0936-7338
Antoine LainéUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.ORCID 0000-0001-5960-3955
Yohann LoriotGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0002-8338-1739
Benjamin BesseGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0001-5090-8189
Luc FribouletUniversité Paris-Saclay, Gustave Roussy, Inserm U981, Villejuif, France.ORCID 0000-0002-1129-4978
Fabrice AndréGustave Roussy, Department of Medical Oncology, Villejuif, France.ORCID 0000-0001-5795-8357
Paul-Henry CournèdeUniversité Paris-Saclay, CentraleSupélec, MICS lab, Gif-Sur-Yvette, France.ORCID 0000-0001-7679-6197
Daniel GautheretUniversité Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), Gif-sur-Yvette, France.ORCID 0000-0002-1508-8469
Sergey I NikolaevUniversité Paris-Saclay, Gustave Roussy, Inserm U981, Villejuif, France.ORCID 0000-0001-8587-2307
Inserm · FRInstitut Gustave Roussy · FRCentre National de la Recherche Scientifique · FRUniversité Paris-Saclay · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic relapse after treatment is the leading cause of cancer mortality, and known resistance mechanisms are missing for most treatments administered to patients. To bridge this gap, we analyze a pan-cancer cohort (META-PRISM) of 1,031 refractory metastatic tumors profiled via whole-exome and transcriptome sequencing. META-PRISM tumors, particularly prostate, bladder, and pancreatic types, displayed the most transformed genomes compared with primary untreated tumors. Standard-of-care resistance biomarkers were identified only in lung and colon cancers-9.6% of META-PRISM tumors, indicating that too few resistance mechanisms have received clinical validation. In contrast, we verified the enrichment of multiple investigational and hypothetical resistance mechanisms in treated compared with nontreated patients, thereby confirming their putative role in treatment resistance. Additionally, we demonstrated that molecular markers improve 6-month survival prediction, particularly in patients with advanced breast cancer. Our analysis establishes the utility of the META-PRISM cohort for investigating resistance mechanisms and performing predictive analyses in cancer. SIGNIFICANCE: This study highlights the paucity of standard-of-care markers that explain treatment resistance and the promise of investigational and hypothetical markers awaiting further validation. It also demonstrates the utility of molecular profiling in advanced-stage cancers, particularly breast cancer, to improve the survival prediction and assess eligibility to phase I clinical trials. This article is highlighted in the In This Issue feature, p. 1027.

Indexed as

Breast NeoplasmsNeoplasms, Second PrimaryGene Expression ProfilingGenomicsHumansMaleNeoplasm Recurrence, LocalTranscriptome

Identifiers

PMID36862804
PMCPMC10157368
OpenAlexW4322764103

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.