Given the dual role of autophagy presenting in tumorigenesis and inhibition, we established an autophagy-related gene prognostic index (ARGPI) with validation to well predict the biochemical recurrence (BCR), metastasis, as well as chemoresistance for patients with prostate cancer (PCa) who underwent radical radiotherapy or prostatectomy. Then, Lasso and COX regression was used to develop the ARGPI. We performed the whole analyses through R packages (version 3.6.3). Secreted phosphoprotein 1 (SPP1), single-minded 2 (SIM2), serine protease inhibitor b5 (SERPINB5), aldehyde dehydrogenase 2 (ALDH2), and acyl-CoA synthetase long-chain 3 (ACSL3) were eventually used to establish the ARGPI score. Patients were divided into two different-risk groups based on the median ARGPI score, high-risk patients with a higher risk of BCR than low-risk patients (hazard ratio [HR]: 5.46, 95% confidence interval [CI]: 3.23-9.24). The risk of metastasis of high-risk patients was higher than low-risk patients (HR: 11.31, 95% CI: 4.89-26.12). In The Cancer Genome Atlas (TCGA) dataset, we observed similar prognostic value of ARGPI in terms of BCR-free survival (HR: 1.79, 95% CI: 1.07-2.99) and metastasis-free survival (HR: 1.80, 95% CI: 1.16-2.78). ARGPI score showed a diagnostic accuracy of 0.703 for drug resistance. Analysis of gene set enrichment analysis (GSEA) indicated that patients in the high-risk group were significantly positively related to interleukin (IL)-18 signaling pathway. Moreover, ARGPI score was significantly related to cancer-related fibroblasts (CAFs; r = 0.36), macrophages (r = 0.28), stromal score (r = 0.38), immune score (r = 0.35), estimate score (r = 0.39), as well as tumor purity (r = -0.39; all P < 0.05). Drug analysis showed that PI-103 was the common sensitive drug and cell line analysis indicated that PC3 was the common cell line of PI-103 and the definitive gene. In conclusion, we found that ARGPI could predict BCR, metastasis, and chemoresistance in PCa patients who underwent radical radiotherapy or prostatectomy.
基金：
TCGA Research Network: https://www.cancer.gov/tcga. This program
was supported by the National Natural Science Foundation of China (Grant
No. 81974099) and programs from Science and Technology Department of
Sichuan Province (Grant No. 2021YFH0172).
语种：
外文
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类|2 区医学
小类|2 区男科学2 区泌尿学与肾脏学
最新[2023]版：
大类|2 区医学
小类|3 区男科学3 区泌尿学与肾脏学
第一作者：
第一作者机构：[1]Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu 610041, China.
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Zhu Wei-Zhen,Feng De-Chao,Xiong Qiao,et al.An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer[J].Asian Journal of Andrology.2022,doi:10.4103/aja202281.
APA：
Zhu Wei-Zhen,Feng De-Chao,Xiong Qiao,Shi Xu,Zhang Fa-Cai...&Yang Lu.(2022).An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer.Asian Journal of Andrology,,
MLA：
Zhu Wei-Zhen,et al."An autophagy-related gene prognostic index predicting biochemical recurrence, metastasis, and drug resistance for prostate cancer".Asian Journal of Andrology .(2022)
