Evidence map›Paper›PMID 41670818›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Genomic alterations and their correlation with metabolic-related genes in lung cancer.

Gauri Gaur, Niraj Kumar Jha, Lokesh Gambhir, Seema V Acharya, Dhruv Kumar

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. 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

5 authors.

Gauri GaurSchool of Health Sciences and Technology (SoHST), UPES, Dehradun, 248007, India.
Niraj Kumar JhaDepartment of Biotechnology and Bioengineering, School of Biosciences and Technology (SBT), Galgotias University, Greater Noida, India.
Lokesh GambhirDepartment of Biotechnology, School of Basic & Applied Sciences, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India.
Seema V AcharyaDepartment of Biotechnology, School of Basic & Applied Sciences, Shri Guru Ram Rai University, Dehradun, Uttarakhand, India.
Dhruv KumarSchool of Health Sciences and Technology (SoHST), UPES, Dehradun, 248007, India. dhruv.kumar@ddn.upes.ac.in.ORCID http://orcid.org/0000-0003-2586-9397

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality worldwide, with 5-year survival rates below 21% primarily due to therapeutic resistance and metastatic progression. Genomic alterations in KRAS, EGFR, TP53, and MYC drive metabolic reprogramming that sustains tumor proliferation and therapy resistance. This review synthesizes evidence linking specific genomic alterations, including variant-specific KRAS alleles (G12C, G12D, and G12V) and TP53 gain- or loss-of-function mutations, to distinct metabolic phenotypes in NSCLC. It further examines the immunometabolic consequences of co-occurring mutations such as KRAS with TP53 or STK11/LKB1. The literature synthesis integrates genomic, metabolic, and immunologic profiling data to identify mutation-specific metabolic vulnerabilities and therapeutic targets. Genomic alterations establish distinct metabolic dependencies: KRAS-driven tumors exhibit enhanced glycolysis and glutaminolysis, EGFR-mutant tumors demonstrate increased lipogenesis, and TP53 loss promotes metabolic flexibility. Accumulation of lactate and depletion of glucose in the tumor microenvironment suppress CD8+ T-cell function, facilitating immune evasion. Rational combination strategies that pair genomic-targeted agents (sotorasib and adagrasib) with metabolic inhibitors (CB-839 and TVB-2640) show promise in overcoming adaptive resistance. Integrating genomic and metabolic profiling may enhance precision oncology approaches and improve clinical outcomes.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsGenomicsHumansMetabolic ReprogrammingMutationProto-Oncogene Proteins p21(ras)Tumor MicroenvironmentTumor Suppressor Protein p53KRAS protein, humanProto-Oncogene Proteins p21(ras)Tumor Suppressor Protein p53Genomic alterationsGlycolysisImmunometabolismLung cancerMetabolic reprogrammingTumor microenvironment

Identifiers

PMID41670818

What OpenQuestion holds

Textmetadata
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.