Evidence map›Paper›PMID 40188131›Full record

ArticleJournal of translational medicine2025

Genomics guiding personalized first-line immunotherapy response in lung and bladder tumors.

Jenifer Brea-Iglesias, María Gallardo-Gómez, Ana Oitabén, Martin E Lázaro-Quintela, Luis León, Joao M Alves, Manuel Pino-González, Laura Juaneda-Magdalena, Carme García-Benito, Ihab Abdulkader and 3 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Jenifer Brea-IglesiasTranslational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain.
María Gallardo-Gómez *Translational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain.
Ana Oitabén *Translational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain.
Martin E Lázaro-QuintelaTranslational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain.
Luis LeónTranslational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), Travesa da Choupana s/n, 15706, Santiago de Compostela, Spain.
Joao M AlvesCINBIO, Universidade de Vigo, Vigo, Spain.
Manuel Pino-GonzálezTranslational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain.
Laura Juaneda-MagdalenaTranslational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain.
Carme García-BenitoTranslational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain.
Ihab AbdulkaderPathological Anatomy Department, University Clinical Hospital and Health Research Institute of Santiago de Compostela (IDIS), Travesa da Choupana s/n, 15706, Santiago de Compostela, Spain.
Laura MuineloTranslational Medical Oncology Group (ONCOMET), Health Research Institute of Santiago de Compostela (IDIS), Travesa da Choupana s/n, 15706, Santiago de Compostela, Spain.
Jesús M ParamioMolecular and Translational Oncology Division, CIEMAT (Ed 70A), Ave Complutense 40, 28040, Madrid, Spain.
Mónica Martínez-FernándezTranslational Oncology Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, Estrada de Clara Campoamor, 341, 36213, Vigo, Spain. monica.martinez@iisgaliciasur.es.

Funding

Fundación Científica Asociación Española Contra el Cáncer IDEAS19122MARTFundación Científica Asociación Española Contra el Cáncer INVES207MARTFundación Científica Asociación Española Contra el Cáncer PRDCR19007BREA_001Instituto de Salud Carlos III CP20/00188Instituto de Salud Carlos III PI19/01113Xunta de Galicia ED481A-2020/214Xunta de Galicia IN606A-2024/017Xunta de Galicia IN606B-2024/014
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors (ICI) have revolutionized cancer treatment, particularly in advanced non-small cell lung cancer (NSCLC) and muscle-invasive bladder cancer (MIBC). However, identifying reliable predictive biomarkers for ICI response remains a significant challenge. In this study, we analyzed real-world cohorts of advanced NSCLC and MIBC patients treated with ICI as first-line therapy.

methodsTumor samples underwent Whole Genome Sequencing (WGS) to identify specific somatic variants and assess tumor mutational burden (TMB). Additionally, mutational signature extraction and pathway enrichment analyses were performed to uncover the underlying mechanisms of ICI response. We also characterized HLA-I haplotypes and investigated LINE-1 retrotransposition.

resultsDistinct mutation patterns were identified in patients who responded to treatment, suggesting potential biomarkers for predicting ICI effectiveness. In NSCLC, tumor mutational burden (TMB) did not differ significantly between responders and non-responders, while in MIBC, higher TMB was linked to better responses. Specific mutational signatures and HLA haplotypes were associated with ICI response in both cancers. Pathway analysis showed that NSCLC responders had active inflammatory and immune pathways, while pathways enriched in non-responders related to FGFR3 and neural crest differentiation, associated to resistance mechanisms. In MIBC, responders had alterations in DNA repair, leading to more neoantigens and a stronger ICI response. Importantly, for the first time, we found that LINE-1 activation was positively linked to ICI response, especially in MIBC.

conclusionThese findings reveal promising biomarkers and mechanistic insights, offering a new perspective on predicting ICI response and opening up exciting possibilities for more personalized immunotherapy strategies in NSCLC and MIBC.

Indexed as

GenomicsImmunotherapyLung NeoplasmsPrecision MedicineUrinary Bladder NeoplasmsAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleHaplotypesHumansImmune Checkpoint InhibitorsMaleMiddle AgedMutationTreatment OutcomeBiomarkers, TumorImmune Checkpoint InhibitorsGenomic mutation profileHLAImmune checkpoint inhibitors (ICI)LINE-1RetrotranspositionTMB

Identifiers

PMID40188131
PMCPMC11972471

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.