2023 World Conference on Lung Cancer (Posters)-EP03.01. Genetic Alterations as Independent Prognostic Factors to Predict Organ-Specific Metastases of Lung Cancer

EP03.01. Genetic Alterations as Independent Prognostic Factors to Predict Organ-Specific Metastases of Lung Cancer - PDF(Slides)

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A study was conducted to analyze the genomic features of lung cancer cells that may contribute to their ability to metastasize to specific organs. The study included 69 patients with distant recurrence of lung cancer, with 18 patients having brain metastasis, 13 with liver metastasis, and 16 with bone metastasis. Whole-exome sequencing was performed on the tumor samples to identify small genetic alterations including single nucleotide polymorphisms (SNPs) and insertion-deletion mutations (INDELs).<br /><br />In the brain metastasis group, 281 significantly mutated genes were identified, with TMEM64 and ZDHHC9 being the most significant. Gene enrichment analysis revealed involvement of genes related to tubuline and cytoskeletal protein bonding, microtubule activity, and Ras palmitoyltransferase activity.<br /><br />In the liver metastasis group, 571 significantly mutated genes were identified. The most significant mutations were found in the genes RUNX1T1 and PKMYT1. Other gene mutations, including ADPRH and SLITRK4, were exclusively specific to the liver metastasis group.<br /><br />The bone metastasis group had 560 significantly altered genes, with PCGF5 being the most significant. Other genes that appeared exclusively in the bone metastasis group included ACTN2, ARFGAP1, ELL, KRIT1, KRT32, MPP5, NBN, TRPM7, and ZNF621.<br /><br />Overall, the study found distinct genomic features in lung cancer cells that may determine their ability to metastasize to specific organs. Further analysis is needed to understand the mechanisms behind these site-specific metastases and improve the treatment of lung cancer patients.

Asset Subtitle

Ann Valter

Meta Tag

Speaker Ann Valter

Topic Tumor Biology: Translational Biology - Disease Modeling

Keywords

lung cancer cells

metastasis

specific organs

genomic features

brain metastasis

liver metastasis

bone metastasis

whole-exome sequencing

genetic alterations

significantly mutated genes