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DOI 10.3389/ijph.2026.1610020

Медицинская библиотека · International journal of public health · 2026

Deploying artificial intelligence for occupational and environmental health in waste management: a systematic review.

Li Wei, Ge Zhengyan, Wang Hui, Yuan Mingzi, Yin Zhican

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Аннотация

Objective

To investigate the genetic mutation characteristics of non-small cell lung cancers (NSCLC) with and without lymph node metastasis.

Methods

Primary lesions and metastatic lymph node lesions of 36 Chinese NSCLC patients were tested for somatic mutations, tumor mutation burden, phylogenetic and clonal evolutional analysis using a 1021-gene panel by next-generation sequencing (NGS) with an average sequencing depth of 671X.

Results

In this study, eighteen patients with lung adenocarcinoma (LUAD) and 18 with lung squamous cell carcinoma (LUSC) were included. Different groups had distinct characteristics of gene mutations. CTNNB1 gene mutations were only present in Nome_LC LUAD patients (p < 0.05). ARID1A mutation was however the only gene with significant alterations (p < 0.05) in Nome_LC in LUSC. Phylogenetic trees of mutated genes were also constructed. Linear and parallel evolutions of metastatic lymph nodes were observed both in LUAD and LUSC.

Conclusion

LUSC exhibited more genetic mutations than LUAD. Intriguingly, there was significant difference in gene mutations between Meta_LC and Nome_LC. CTNNB1 gene alteration was the key mutation in LUAD that seems to promote proliferation of the tumor and then determine T stage. On the other hand, proliferation of the tumor was characterized by ARID1A missense mutation in LUSC, thus influencing the T stage as well. Lymph node metastasis could display both linear and parallel evolutionary characteristics in NSCLC. Different metastatic lymph nodes might have exactly the same or different mutated genes, underlining the heterogeneous genomic characteristics of these cancer types.

Для цитирования: Li Wei, Ge Zhengyan, Wang Hui, Yuan Mingzi, Yin Zhican. Deploying artificial intelligence for occupational and environmental health in waste management: a systematic review.. International journal of public health. 2026. DOI: 10.3389/ijph.2026.1610020.

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