Evidence map›Paper›PMID 39138107›Full record

ArticleClinical lung cancer2024

RBM10 Mutation as a Potential Negative Prognostic/Predictive Biomarker to Therapy in Non-Small-Cell Lung Cancer.

Amanda Reyes, Michelle Afkhami, Erminia Massarelli, Jeremy Fricke, Isa Mambetsariev, Xiaochen Li, Giovanny Velasquez, Ravi Salgia

Abstract read
In one paragraph

Article in Clinical lung cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2026
    Article
  3. Review
  4. Article
  5. Review
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

8 authors.

Amanda ReyesDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA.
Michelle AfkhamiDepartment of Pathology, City of Hope National Medical Center, Duarte, CA.
Erminia MassarelliDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA.
Jeremy FrickeDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA.
Isa MambetsarievDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA.
Xiaochen LiDivision of Biostatistics, Department of Computational and Quantitative Medicine, City of Hope National Medical Center, Duarte, CA.
Giovanny VelasquezDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA.
Ravi SalgiaDepartment of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, CA. Electronic address: rsalgia@coh.org.

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI John Charles Williams · 1985 to 2026
$86.3M
NCI NIH HHS P30 CA033572
6 · The paper itself

Abstract

backgroundAccording to WHO, lung cancer is the leading cause of cancer-related death worldwide, but treatment has advanced in the last decade. The widespread use of Next Generation Sequencing has led to the discovery of several pathogenic mutations including RNA binding motif 10 (RBM10), a part of the spliceosome complex that regulates splicing of pre-mRNA. PATIENTS AND

methodsElectronic medical records were utilized to create a database of patients (50 patients) seen from 2018-2023 with NSCLC and RBM10 mutations, with appropriate IRB approval. For subgroup analysis, we separated into groups by rapid progression vs stable disease defined as progression-free survival earlier than respective clinical trials.

resultsFrom the analysis of treatment response the mutated RBM10 population had a median PFS was 6.7 months compared to 13.9 in the wild-type RBM10 population controlled for driver mutations TP53 mutation had a higher representation in the RBM10 mutated rapid progression group than the stable disease group. The ZFHX3 mutation had a higher representation in the RBM10 mutated stable disease group.

conclusionsRBM10 mutations were associated with aggressive disease with treatment progression faster than median durations of response. RBM10 mutations with concurrent ZFHX3 and EGFR mutations were associated with more stable disease, while concurrent KRAS and TP53 predicted even more aggressive disease.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsMutationRNA-Binding ProteinsAdultAgedFemaleHumansMaleMiddle AgedPrognosisSurvival RateBiomarkers, TumorRBM10 protein, humanRNA-Binding ProteinsAlternative splicingEGFRKRASRBM10TKI resistance

Identifiers

PMID39138107
PMCPMC11588515

What OpenQuestion holds

Textmetadata
LicenceTDM
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.