Evidence map›Paper›PMID 37714872›Full record

ArticleScientific reports2023

The impact of mutational clonality in predicting the response to immune checkpoint inhibitors in advanced urothelial cancer.

Lilian Marie Boll, Júlia Perera-Bel, Alejo Rodriguez-Vida, Oriol Arpí, Ana Rovira, Núria Juanpere, Sergio Vázquez Montes de Oca, Silvia Hernández-Llodrà, Josep Lloreta, M Mar Albà and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Lilian Marie Boll *Hospital del Mar Research Institute, Barcelona, Spain.
Júlia Perera-Bel *Hospital del Mar Research Institute, Barcelona, Spain.
Alejo Rodriguez-VidaHospital del Mar Research Institute, Barcelona, Spain.
Oriol ArpíHospital del Mar Research Institute, Barcelona, Spain.
Ana RoviraHospital del Mar Research Institute, Barcelona, Spain.
Núria JuanpereHospital del Mar Research Institute, Barcelona, Spain.
Sergio Vázquez Montes de OcaHospital del Mar Research Institute, Barcelona, Spain.
Silvia Hernández-LlodràDepartment of Medicine and Life Science, Universitat Pompeu Fabra (UPF), Barcelona, Spain.
Josep LloretaHospital del Mar Research Institute, Barcelona, Spain.
M Mar AlbàHospital del Mar Research Institute, Barcelona, Spain. MAlba@imim.es.
Joaquim BellmuntHospital del Mar Research Institute, Barcelona, Spain. joaquim.bellmunt@gmail.com.
Hospital Del Mar · ESPompeu Fabra University · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICI) have revolutionized cancer treatment and can result in complete remissions even at advanced stages of the disease. However, only a small fraction of patients respond to the treatment. To better understand which factors drive clinical benefit, we have generated whole exome and RNA sequencing data from 27 advanced urothelial carcinoma patients treated with anti-PD-(L)1 monoclonal antibodies. We assessed the influence on the response of non-synonymous mutations (tumor mutational burden or TMB), clonal and subclonal mutations, neoantigen load and various gene expression markers. We found that although TMB is significantly associated with response, this effect can be mostly explained by clonal mutations, present in all cancer cells. This trend was validated in an additional cohort. Additionally, we found that responders with few clonal mutations had abnormally high levels of T and B cell immune markers, suggesting that a high immune cell infiltration signature could be a better predictive biomarker for this subset of patients. Our results support the idea that highly clonal cancers are more likely to respond to ICI and suggest that non-additive effects of different signatures should be considered for predictive models.

Indexed as

Carcinoma, Transitional CellUrinary Bladder NeoplasmsAntibodies, MonoclonalHumansImmune Checkpoint InhibitorsMutationAntibodies, MonoclonalImmune Checkpoint Inhibitors

Identifiers

PMID37714872
PMCPMC10504302
OpenAlexW4386776749

What OpenQuestion holds

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LicenceCC BY
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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.