ArticleAnnals of translational medicine2022
Clinical and molecular impacts of tumor mutational burden in histological and cytological specimens from cancer patients.
Article in Annals of translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Unraveling the nexus: Tumor mutational burden, PD-L1 expression, and oncogenic alterations in non-small cell lung cancer cytology specimens.Cancer cytopathology · 2026Article
- Small Cell Lung Carcinoma: Current Diagnosis, Biomarkers, and Treatment Options with Future Perspectives.Biomedicines · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The tumor mutational burden (TMB) is a promising biomarker for immune checkpoint inhibitor (ICI). However, its relationships with clinical parameters have not been fully explored. We aimed to assess potential factors including age, microsatellite instability (MSI) state, tumor types, and gene mutations that might influence TMB value through analyzing 1,504 tissue samples and 496 blood samples from cancer patients. Methods: The TMB value of individual samples was calculated by whole-exome sequencing (WES) analysis and major cancer-related gene mutations were evaluated using panel sequencing. MSI was detected with MSI analysis system. Results: The results showed that for blood samples, compared to age 1 (age ≤56 years old) or age 2 (56< age <68 years old) groups, the TMB value in the age 3 group (age ≥68 years old) was significantly higher. The MSI ratio (%) had no linear correlation with TMB, and a significant difference of TMB between Kirsten rat sarcoma viral oncogene homologue (KRAS) other alterations and p.G12 alteration was identified. For tissue samples, compared to age 1 (age ≤53 years old), TMB was higher in the age 2 (53< age <65 years old) group and lower in the age 3 (age ≥65 years old) group. MSI ratio (%) had no linear correlation with TMB. Significant differences in TMB were discovered between adenosquamous carcinoma (ASC), lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), non-small cell lung cancer (NSCLC), and small cell lung cancer (SCLC) samples. TMB among KRAS p.G12A, p.G12C, p.G12D, p.G12R, p.G12S, p.G12V, and other KRAS alterations were observed in tissue samples. Conclusions: In conclusion, analysis of age, tumor types, and KRAS mutations may provide a relative effectivity for estimating TMB.
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