Evidence map›Paper›PMID 39885940›Full record

ArticleBMJ oncology2025

Molecular and immune landscape of tumours in geriatric patients with non-small cell lung cancer, melanoma and renal cell carcinoma.

Khalil Choucair, Andrew Elliott, Matthew James Oberley, Phillip Walker, April K Salama, Azhar Saeed, Hirva Mamdani, Dipesh Uprety, Wafik S El-Deiry, Himisha Beltran and 6 more

Abstract read
In one paragraph

Article in BMJ oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Khalil ChoucairDepartment of Oncology, Barbara Ann Karmanos Cancer Institute, Detroit, Michigan, USA.ORCID 0000-0001-8145-3754
Andrew ElliottCaris Life Sciences, Phoenix, Arizona, USA.
Matthew James OberleyCaris Life Sciences, Phoenix, Arizona, USA.
Phillip WalkerCaris Life Sciences, Phoenix, Arizona, USA.
April K SalamaDuke Cancer Institute, Durham, North Carolina, USA.
Azhar SaeedDepartment of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA.
Hirva MamdaniDepartment of Oncology, Barbara Ann Karmanos Cancer Institute, Detroit, Michigan, USA.
Dipesh UpretyDepartment of Oncology, Barbara Ann Karmanos Cancer Institute, Detroit, Michigan, USA.
Wafik S El-DeiryMedical Oncology, Brown University, Providence, Rhode Island, USA.
Himisha BeltranDana-Farber Cancer Institute, Boston, Massachusetts, USA.
Stephen V LiuGeorgetown University, Washington, Washington, USA.
Chul KimGeorgetown University, Washington, Washington, USA.
Abdul Rafeh NaqashStephenson Cancer Center, University of Oklahoma, Oklahoma City, Oklahoma, USA.
Emil LouDepartment of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Lujia ChenDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Anwaar SaeedDepartment of Medicine, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cancer patients aged ≥80 years present unique characteristics affecting response to immune checkpoint inhibitors (ICIs), with unidentified molecular differences. This study aimed to explore potential biomarkers of response to ICI in patients ≥80 years. Methods and analysis: We analysed tumour samples (n=24 123) from patients ≥80 (versus<80) with non-small cell lung cancer (NSCLC), melanoma (MEL), and renal cell cancer (RCC). Using gene expression deconvolution, we investigated differences in tumour microenvironment (TIME) composition. Then, using next-generation sequencing and programmed death-ligand 1 (PD-L1) assessment, we evaluated gene expression differences between age groups and across tumour types, with a focus on ageing-related processes such as DNA damage response (DDR), immune checkpoint (IC) and metabolism-related genes. In a subset of patients ≥80 (n=1013), gene clustering and differential gene expression analyses were carried out to identify potential tumour-type specific expression patterns in responders to ICI. Results: Significant differences in TIME composition were seen in patients with NSCLC and MEL. In patients ≥80, tumour mutational burden was lower in patients with NSCLC, higher in MEL and RCC had fewer PD-L1+tumours. DDR, IC and metabolism-related gene enrichments were distinct in patients ≥80. In patients ≥80 treated with ICIs (n=1013), there were no significant differences in survival between gene clusters, but differential gene expression analysis identified potential tumour-type specific expression patterns in responders. Conclusion: Our findings reveal tumour type-specific expression profiles, TIMEs and response signatures to ICIs in patients ≥80, supporting further biomarker investigations in this population.

Indexed as

ImmunotherapyLung cancer (non-small cell)MelanomaRenal cancerTumour biomarkers

Identifiers

PMID39885940
PMCPMC11751915

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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.