RESUMO
Background: Anoikis-related long non-coding RNAs (ARLs) play a critical role in tumor metastasis and progression, suggesting that they may serve as risk markers for cancer. This study aimed to investigate the prognostic value of ARLs in patients with lung adenocarcinoma (LUAD). Methods: Clinical data, RNA sequencing (RNA-seq) data, and mutation data from the LUAD project were obtained from The Cancer Genome Atlas (TCGA) database. The Molecular Signatures Database (MSigDB) and the GeneCard database were used to collect an anoikis-related gene (ARG) set. Pearson correlation analysis was performed to identify ARLs. LASSO and Cox regression were then used to establish a prognostic risk signature for ARLs. The median risk score served as the basis for categorizing patients into high and low-risk groups. Kaplan-Meier analysis was utilized to compare the prognosis between these two groups. The study also examined the associations between risk scores and prognosis, clinicopathological characteristics, immune status, tumor mutation burden (TMB), and chemotherapeutic agents. LncRNA expression was assessed using quantitative real-time PCR (qRT-PCR). Results: A total of 480 RNA expression profiles, 501 ARGs, and 2698 ARLs were obtained from the database. A prognostic ARL signature for LUAD was established, consisting of 9 lncRNAs. Patients in the low-risk group exhibited significantly better prognosis compared to those in the high-risk group (P < 0.001). The 9 lncRNAs from the ARL signature were identified as independent prognostic factors (P < 0.001). The signature demonstrated high accuracy in predicting LUAD prognosis, with area under the curve values exceeding 0.7. The risk scores for ARLs showed strong negative correlations with stroma score (P = 5.9E-07, R = -0.23), immune score (P = 9.7E-09, R = -0.26), and microenvironment score (P = 8E-11, R = -0.29). Additionally, the low-risk group exhibited significantly higher TMB compared to the high-risk group (P = 4.6E-05). High-risk status was significantly associated with lower half-maximal inhibitory concentrations for most chemotherapeutic drugs. Conclusion: This newly constructed signature based on nine ARLs is a useful instrument for the risk stratification of LUAD patients. The signature has potential clinical significance for predicting the prognosis of LUAD patients and guiding personalized immunotherapy.
RESUMO
The papillary thyroid carcinoma (PTC) metastasizes through lymphatic spread, but the follicular thyroid cancer (FTC) metastasis occurs by following hematogenous spread. To date, the molecular mechanism underlying different metastatic routes between PTC and FTC is still unclear. Here, we showed that specifically androgen-regulated gene (SARG) was significantly up-regulated in PTC, while obviously down-regulated in FTC through analyzing the Gene Expression Omnibus (GEO) database. Immunohistochemistry assay verified that the PTC lymph node metastasis was associated with higher levels of SARG protein in clinical PTC patient samples. SARG-knockdown decreased TPC-1 and CGTH-W3 cells viability and migration significantly. On the contrary, SARG-overexpressed PTC cells possessed more aggressive migratory ability and viability. In vivo, SARG overexpression dramatically promoted popliteal lymph node metastasis of xenografts from TPC-1 cells mouse footpad transplanting. Mechanistically, SARG overexpression and knockdown significantly increased and decreased the expression of vascular endothelial growth factor C (VEGF-C) and VEGF receptor 3 (VEGFR-3), respectively, thereby facilitating or inhibiting the tube formation in HUVECs. The tube formation experiment showed that SARG overexpression and knockdown promoted or inhibited the number of tube formations in HUVEC cells, respectively. Taken together, we showed for the first time the differential expression profile of SARG between PTC and FTC, and SARG promotes PTC lymphatic metastasis via VEGF-C/VEGFR-3 signal. It indicates that SARG may represent a target for clinical intervention in lymphatic metastasis of PTC.
