Evidence map›Paper›PMID 40825842›Full record

ArticleNPJ precision oncology2025

Integrative analysis of KEAP1/NFE2L2 alterations across 3600+ tumors reveals an NRF2 expression signature as a prognostic biomarker in cancer.

Valentina Crippa, Nicoletta Cordani, Alberto Maria Villa, Federica Malighetti, Matteo Villa, Luca Sala, Andrea Aroldi, Rocco Piazza, Diego Cortinovis, Luca Mologni and 1 more

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In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Valentina Crippa *Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Nicoletta Cordani *Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Alberto Maria VillaDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Federica MalighettiDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Matteo VillaDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Luca SalaFondazione IRCCS San Gerardo dei Tintori di Monza, Monza, Italy.
Andrea AroldiFondazione IRCCS San Gerardo dei Tintori di Monza, Monza, Italy.
Rocco PiazzaDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Diego CortinovisDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Luca MologniDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
Daniele RamazzottiDepartment of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy. daniele.ramazzotti@unimib.it.

Funding

Italian Foundation for Cancer Research (AIRC) IG 2020, ID 24828 project
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) remains a formidable global health challenge, with heterogeneous molecular characteristics influencing prognosis and treatment response. We present a novel computational framework named ASTUTE (Association of SomaTic mUtaTions to gene Expression profiles), designed to perform genotype-phenotype mapping through the integration of genomic and transcriptomic data. Through the systematic analysis of over 3600 samples from diverse NSCLC datasets and multiple cancer types, we uncovered intricate associations between KEAP1/NFE2L2 mutations and the NRF2 pathway activation. Our study identified novel NRF2-related functionalities associated with specific genetic alterations and revealed a KEAP1/NFE2L2 expression signature predictive of prognosis across different cancer types. These findings enhance our understanding of cancer pathogenesis and drug resistance mechanisms mediated by NRF2 activation, paving the way for tailored therapeutic interventions and the development of prognostic biomarkers. Our approach exemplifies the power of integrating genomic and transcriptomic data to elucidate cancer mechanisms, thereby advancing the field of precision oncology.

Identifiers

PMID40825842
PMCPMC12361507

What Socratic 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 Socratic graph.