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1.
Lung Cancer ; 130: 25-34, 2019 04.
Artigo em Inglês | MEDLINE | ID: mdl-30885348

RESUMO

OBJECTIVE: Epithelial-mesenchymal transition (EMT) is the key event in distant metastasis of diverse tumors including lung cancer. Recent evidence suggests the involvement of phosphatase and tensin homolog (PTEN) in EMT phenotypes. However, the molecular mechanism of EMT induced by PTEN inactivation is not clear in lung cancer. We aimed to investigate the role of PTEN inactivation in acquisition of EMT in lung cancer cells. METHODS: We knocked out the PTEN in PTEN proficient lung cancer cells lines (A549 and NCI-H460) using CRISPR/Cas-9 system and observed the growth, EMT phenotypes, and EMT related molecules. We also explored the in vivo effect of PTEN inactivation on tumor cell growth and distant metastasis using nude mouse injection. RESULTS: PTEN knockout (KO) cells showed faster growth, migration and invasion than PTEN wild-type (WT) cells. When we injected the cells into nude mice, PTEN-KO cells showed faster growth and higher metastatic potential. In PTEN-KO cells, the levels of phosphorylated AKT (Ser-473 and Thr-308) were profoundly elevated and the expressions of phosphorylated GSK-3ß (Ser9, inactive form) increased, while that of ß-catenin decreased. Regarding the EMT markers, the expression of E-cadherin decreased but those of N-cadherin, vimentin and MMP-2 increased in the PTEN-KO cells. Especially, PTEN-KO cells showed the almost complete intra-nuclear shift of ß-catenin and no ß-catenin signal was observed in the cell membrane. Accordingly, PTEN-KO cells exhibited morphological changes such as loss of cell-to-cell contact, pseudopodia and the round shape, which are the typical phenotypes of EMT. Snail and Slug were also dominantly accumulated in the nucleus after PTEN inactivation. CONCLUSION: All these data consistently support that PTEN inactivation contributes to EMT by nuclear translocation of ß-catenin and Snail/Slug in lung cancer cells.


Assuntos
Carcinoma Pulmonar de Células não Pequenas/genética , Núcleo Celular/metabolismo , Neoplasias Pulmonares/genética , Mutação/genética , PTEN Fosfo-Hidrolase/genética , Fatores de Transcrição da Família Snail/metabolismo , beta Catenina/metabolismo , Animais , Carcinoma Pulmonar de Células não Pequenas/patologia , Linhagem Celular Tumoral , Proliferação de Células , Repetições Palindrômicas Curtas Agrupadas e Regularmente Espaçadas , Transição Epitelial-Mesenquimal , Feminino , Técnicas de Silenciamento de Genes , Humanos , Neoplasias Pulmonares/patologia , Camundongos , Camundongos Endogâmicos BALB C , Camundongos Nus , Invasividade Neoplásica , Metástase Neoplásica , Estadiamento de Neoplasias , Transplante de Neoplasias , Transdução de Sinais , Fatores de Transcrição da Família Snail/genética , beta Catenina/genética
2.
Artigo em Inglês | WPRIM (Pacífico Ocidental) | ID: wpr-785799

RESUMO

Robust identification of genetic alterations is important for the diagnosis and subsequent treatment of tumors. Screening for genetic alterations using tumor tissue samples may lead to biased interpretations because of the heterogeneous nature of the tumor mass. Liquid biopsy has been suggested as an attractive tool for the non-invasive follow-up of cancer treatment outcomes. In this study, we aimed to verify whether the mutations identified in primary tumor tissue samples could be consistently detected in plasma cell–free DNA (cfDNA) by digital polymerase chain reaction (dPCR). We first examined the genetic alteration profiles of three colorectal cancer (CRC) tissue samples by targeted next-generation sequencing (NGS) and identified 11 non-silent amino acid changes across six cancer-related genes (APC, KRAS, TP53, TERT, ARIDIA, and BRCA1). All three samples had KRAS mutations (G12V, G12C, and G13D), which were well-known driver events. Therefore, we examined the KRAS mutations by dPCR. When we examined the three KRAS mutations by dPCR using tumor tissue samples, all of them were consistently detected and the variant allele frequencies (VAFs) of the mutations were almost identical between targeted NGS and dPCR. When we examined the KRAS mutations using the plasma cfDNA of the three CRC patients by dPCR, all three mutations were consistently identified. However, the VAFs were lower (range, 0.166% to 2.638%) than those obtained using the CRC tissue samples. In conclusion, we confirmed that the KRAS mutations identified from CRC tumor tissue samples were consistently detected in the plasma cfDNA of the three CRC patients by dPCR.


Assuntos
Humanos , Viés , Biópsia , Neoplasias Colorretais , Diagnóstico , DNA , Seguimentos , Frequência do Gene , Programas de Rastreamento , Plasma , Reação em Cadeia da Polimerase
3.
Artigo em Inglês | WPRIM (Pacífico Ocidental) | ID: wpr-830119

RESUMO

Robust identification of genetic alterations is important for the diagnosis and subsequent treatment of tumors. Screening for genetic alterations using tumor tissue samples may lead to biased interpretations because of the heterogeneous nature of the tumor mass. Liquid biopsy has been suggested as an attractive tool for the non-invasive follow-up of cancer treatment outcomes. In this study, we aimed to verify whether the mutations identified in primary tumor tissue samples could be consistently detected in plasma cell–free DNA (cfDNA) by digital polymerase chain reaction (dPCR). We first examined the genetic alteration profiles of three colorectal cancer (CRC) tissue samples by targeted next-generation sequencing (NGS) and identified 11 non-silent amino acid changes across six cancer-related genes (APC, KRAS, TP53, TERT, ARIDIA, and BRCA1). All three samples had KRAS mutations (G12V, G12C, and G13D), which were well-known driver events. Therefore, we examined the KRAS mutations by dPCR. When we examined the three KRAS mutations by dPCR using tumor tissue samples, all of them were consistently detected and the variant allele frequencies (VAFs) of the mutations were almost identical between targeted NGS and dPCR. When we examined the KRAS mutations using the plasma cfDNA of the three CRC patients by dPCR, all three mutations were consistently identified. However, the VAFs were lower (range, 0.166% to 2.638%) than those obtained using the CRC tissue samples. In conclusion, we confirmed that the KRAS mutations identified from CRC tumor tissue samples were consistently detected in the plasma cfDNA of the three CRC patients by dPCR.

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