Evidence map›Paper›PMID 37588099›Full record

ArticleFrontiers in oncology2023

Predictive signature of response to neoadjuvant chemotherapy in muscle-invasive bladder cancer integrating mRNA expression, taxonomic subtypes, and clinicopathological features.

Albert Font, Montserrat Domenech, Jose Luis Ramirez, Miriam Marqués, Raquel Benítez, Vicenç Ruiz de Porras, José L Gago, Cristina Carrato, Francesc Sant, Hector Lopez and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. 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
1.3field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  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

14 authors at 7 institutions in 1 country.

Albert FontMedical Oncology Department, Institut Català d'Oncologia, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain.
Montserrat DomenechMedical Oncology Department, Althaia Xarxa Assistencial Universitària de Manresa, Manresa, Spain.
Jose Luis RamirezHematology Service, Institut Català d'Oncologia (ICO) Badalona-Hospital Germans Trias i Pujol, Lymphoid Neoplasms Group, Josep Carreras Leukemia Research Institute (IJC), Badalona, Spain.
Miriam MarquésEpithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain.
Raquel BenítezGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Madrid, Spain.
Vicenç Ruiz de PorrasMedical Oncology Department, Institut Català d'Oncologia, Hospital Universitari Germans Trias i Pujol, Badalona, Barcelona, Spain.
José L GagoUrology Department, Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Spain.
Cristina CarratoPathology Department, Hospital Universitari Germans Trias I Pujol, Badalona, Barcelona, Spain.
Francesc SantPathology Department, Althaia Xarxa Assistencial Universitària de Manresa, Manresa, Spain.
Hector LopezUrology Department, Althaia Xarxa Assistencial Universitària de Manresa, Manresa, Spain.
Daniel CastellanoMedical Oncology Department, University Hospital 12 de Octubre, Madrid, Spain.
Nuria MalatsGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO), and CIBERONC, Madrid, Spain.
M Luz CalleBiosciences Department, Faculty of Sciences, Technology, University of Vic-Central University of Catalonia, Vic, Barcelona, Spain.
Francisco X RealEpithelial Carcinogenesis Group, Spanish National Cancer Research Centre (CNIO), Madrid, Spain.
Spanish National Cancer Research Centre · ESAlthaia · ESHospital Universitari Germans Trias i Pujol · ESInstitut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESJosep Carreras Leukaemia Research Institute · ESResearch Institute Hospital 12 de Octubre · ESUniversitat de Vic - Universitat Central de Catalunya · ES

Funding

Probing cytosolic nucleic acid sensing pathways in cancerR01CA256188 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LAUGHNEY, ASHLEY MARIE · 2021 to 2025
$3.5M
Role of the smooth muscle layer in bladder cancer biology and progression: a systems and experimental approachR21CA266660 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI LAUGHNEY, ASHLEY MARIE, REAL, FRANCISCO XAVIER · 2022 to 2022
$374k
NCI NIH HHS R01 CA256188NCI NIH HHS R21 CA266660
6 · The paper itself

Abstract

Background and objective: Neoadjuvant chemotherapy (NAC) followed by cystectomy is the standard of care in muscle-invasive bladder cancer (MIBC). Pathological response has been associated with longer survival, but no currently available clinicopathological variables can identify patients likely to respond, highlighting the need for predictive biomarkers. We sought to identify a predictive signature of response to NAC integrating clinical score, taxonomic subtype, and gene expression. Material and methods: From 1994 to 2014, pre-treatment tumor samples were collected from MIBC patients (stage T2-4N0/+M0) at two Spanish hospitals. A clinical score was determined based on stage, hydronephrosis and histology. Taxonomic subtypes (BASQ, luminal, and mixed) were identified by immunohistochemistry. A custom set of 41 genes involved in DNA damage repair and immune response was analyzed in 84 patients with the NanoString nCounter platform. Genes related to pathological response were identified by LASSO penalized logistic regression. NAC consisted of cisplatin/methotrexate/vinblastine until 2000, after which most patients received cisplatin/gemcitabine. The capacity of the integrated signature to predict pathological response was assessed with AUC. Overall survival (OS) and disease-specific survival (DSS) were analyzed with the Kaplan-Meier method. Results: LASSO selected eight genes to be included in the signature (RAD51, IFNγ, CHEK1, CXCL9, c-MET, KRT14, HERC2, FOXA1). The highest predictive accuracy was observed with the inclusion in the model of only three genes (RAD51, IFNɣ, CHEK1). The integrated clinical-taxonomic-gene expression signature including these three genes had a higher predictive ability (AUC=0.71) than only clinical score plus taxonomic subtype (AUC=0.58) or clinical score alone (AUC=0.56). This integrated signature was also significantly associated with OS (p=0.02) and DSS (p=0.02). Conclusions: We have identified a predictive signature for response to NAC in MIBC patients that integrates the expression of three genes with clinicopathological characteristics and taxonomic subtypes. Prospective studies to validate these results are ongoing.

Indexed as

bladder cancerintegrated signaturemRNA expressionneoadjuvant chemotherapypathological responsetaxonomical classification

Identifiers

PMID37588099
PMCPMC10426739
OpenAlexW4385438992

What OpenQuestion holds

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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.