{"title":"长链非编码rna在胃癌腹膜复发中的转录格局和预测潜力","authors":"Xiao-Xia Cai, Guo-Ming Chen, Zi-Qi Zheng, Yi-Xin Yin, Shuang Wang, Li Qiao, Xiao-Jiang Chen, Bai-Wei Zhao, Jin-Ling Duan, Cheng-Cai Liang, Ruo-Peng Zhang, Cheng-Zhi Wei, Fei-Yang Zhang, Bo-Wen Huang, Ze-Xian Liu, Zhi-Wei Zhou, Dan Xie, Mu-Yan Cai, Shu-Qiang Yuan, Yuan-Fang Li, Run-Cong Nie","doi":"10.1186/s12943-024-02196-4","DOIUrl":null,"url":null,"abstract":"Long noncoding RNAs (lncRNAs) play a critical role in gastric cancer (GC) progression and metastasis. However, research comprehensively exploring tissue-derived lncRNAs for predicting peritoneal recurrence in patients with GC remains limited. This study aims to investigate the transcriptional landscape of lncRNAs in GC with peritoneal metastasis (PM) and to develop an integrated lncRNA-based score to predict peritoneal recurrence in patients with GC after radical gastrectomy. We analyzed the transcriptome profile of lncRNAs in paired peritoneal, primary gastric tumor, and normal tissue specimens from 12 patients with GC in the Sun Yat-sen University Cancer Center (SYSUCC) discovery cohort. Key lncRNAs were identified via interactive analysis with the TCGA database and SYSUCC validation cohort. A score model was constructed using the LASSO regression model and nomogram COX regression and evaluated using receiver operating characteristic curves. The role of lncRNAs in the PM of GC was then examined through wound healing, Transwell, 3D multicellular tumor spheroid invasion, and peritoneal cavity xenograft tumorigenicity assays in mice. Five essential lncRNAs were screened and incorporated into the PM risk score to predict peritoneal recurrence-free survival (pRFS). We developed a comprehensive, integrated nomogram score, including the PM risk score, pT, pN, and tumor size, which could effectively predict the 5-year pRFS with an Area under the curve of 0.79 (95% CI: 0.71-0.88). Subsequently, we demonstrated that one of these lncRNAs, CASC15, promoted the invasion and migration of GC cells in vitro and facilitated the PM of GC cells in vivo, initially verifying that lncRNAs contribute to the PM of GC. Mechanistic analysis demonstrated that CASC15 promoted EMT and metastasis by activating the JNK and p38 pathways. A lncRNA-based integrated score was constructed in this study to predict peritoneal recurrence in patients clinically.","PeriodicalId":19000,"journal":{"name":"Molecular Cancer","volume":"3 1","pages":""},"PeriodicalIF":27.7000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Transcriptional landscape and predictive potential of long noncoding RNAs in peritoneal recurrence of gastric cancer\",\"authors\":\"Xiao-Xia Cai, Guo-Ming Chen, Zi-Qi Zheng, Yi-Xin Yin, Shuang Wang, Li Qiao, Xiao-Jiang Chen, Bai-Wei Zhao, Jin-Ling Duan, Cheng-Cai Liang, Ruo-Peng Zhang, Cheng-Zhi Wei, Fei-Yang Zhang, Bo-Wen Huang, Ze-Xian Liu, Zhi-Wei Zhou, Dan Xie, Mu-Yan Cai, Shu-Qiang Yuan, Yuan-Fang Li, Run-Cong Nie\",\"doi\":\"10.1186/s12943-024-02196-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Long noncoding RNAs (lncRNAs) play a critical role in gastric cancer (GC) progression and metastasis. However, research comprehensively exploring tissue-derived lncRNAs for predicting peritoneal recurrence in patients with GC remains limited. This study aims to investigate the transcriptional landscape of lncRNAs in GC with peritoneal metastasis (PM) and to develop an integrated lncRNA-based score to predict peritoneal recurrence in patients with GC after radical gastrectomy. We analyzed the transcriptome profile of lncRNAs in paired peritoneal, primary gastric tumor, and normal tissue specimens from 12 patients with GC in the Sun Yat-sen University Cancer Center (SYSUCC) discovery cohort. Key lncRNAs were identified via interactive analysis with the TCGA database and SYSUCC validation cohort. A score model was constructed using the LASSO regression model and nomogram COX regression and evaluated using receiver operating characteristic curves. The role of lncRNAs in the PM of GC was then examined through wound healing, Transwell, 3D multicellular tumor spheroid invasion, and peritoneal cavity xenograft tumorigenicity assays in mice. Five essential lncRNAs were screened and incorporated into the PM risk score to predict peritoneal recurrence-free survival (pRFS). We developed a comprehensive, integrated nomogram score, including the PM risk score, pT, pN, and tumor size, which could effectively predict the 5-year pRFS with an Area under the curve of 0.79 (95% CI: 0.71-0.88). Subsequently, we demonstrated that one of these lncRNAs, CASC15, promoted the invasion and migration of GC cells in vitro and facilitated the PM of GC cells in vivo, initially verifying that lncRNAs contribute to the PM of GC. Mechanistic analysis demonstrated that CASC15 promoted EMT and metastasis by activating the JNK and p38 pathways. A lncRNA-based integrated score was constructed in this study to predict peritoneal recurrence in patients clinically.\",\"PeriodicalId\":19000,\"journal\":{\"name\":\"Molecular Cancer\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":27.7000,\"publicationDate\":\"2024-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Cancer\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12943-024-02196-4\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Cancer","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12943-024-02196-4","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Transcriptional landscape and predictive potential of long noncoding RNAs in peritoneal recurrence of gastric cancer
Long noncoding RNAs (lncRNAs) play a critical role in gastric cancer (GC) progression and metastasis. However, research comprehensively exploring tissue-derived lncRNAs for predicting peritoneal recurrence in patients with GC remains limited. This study aims to investigate the transcriptional landscape of lncRNAs in GC with peritoneal metastasis (PM) and to develop an integrated lncRNA-based score to predict peritoneal recurrence in patients with GC after radical gastrectomy. We analyzed the transcriptome profile of lncRNAs in paired peritoneal, primary gastric tumor, and normal tissue specimens from 12 patients with GC in the Sun Yat-sen University Cancer Center (SYSUCC) discovery cohort. Key lncRNAs were identified via interactive analysis with the TCGA database and SYSUCC validation cohort. A score model was constructed using the LASSO regression model and nomogram COX regression and evaluated using receiver operating characteristic curves. The role of lncRNAs in the PM of GC was then examined through wound healing, Transwell, 3D multicellular tumor spheroid invasion, and peritoneal cavity xenograft tumorigenicity assays in mice. Five essential lncRNAs were screened and incorporated into the PM risk score to predict peritoneal recurrence-free survival (pRFS). We developed a comprehensive, integrated nomogram score, including the PM risk score, pT, pN, and tumor size, which could effectively predict the 5-year pRFS with an Area under the curve of 0.79 (95% CI: 0.71-0.88). Subsequently, we demonstrated that one of these lncRNAs, CASC15, promoted the invasion and migration of GC cells in vitro and facilitated the PM of GC cells in vivo, initially verifying that lncRNAs contribute to the PM of GC. Mechanistic analysis demonstrated that CASC15 promoted EMT and metastasis by activating the JNK and p38 pathways. A lncRNA-based integrated score was constructed in this study to predict peritoneal recurrence in patients clinically.
期刊介绍:
Molecular Cancer is a platform that encourages the exchange of ideas and discoveries in the field of cancer research, particularly focusing on the molecular aspects. Our goal is to facilitate discussions and provide insights into various areas of cancer and related biomedical science. We welcome articles from basic, translational, and clinical research that contribute to the advancement of understanding, prevention, diagnosis, and treatment of cancer.
The scope of topics covered in Molecular Cancer is diverse and inclusive. These include, but are not limited to, cell and tumor biology, angiogenesis, utilizing animal models, understanding metastasis, exploring cancer antigens and the immune response, investigating cellular signaling and molecular biology, examining epidemiology, genetic and molecular profiling of cancer, identifying molecular targets, studying cancer stem cells, exploring DNA damage and repair mechanisms, analyzing cell cycle regulation, investigating apoptosis, exploring molecular virology, and evaluating vaccine and antibody-based cancer therapies.
Molecular Cancer serves as an important platform for sharing exciting discoveries in cancer-related research. It offers an unparalleled opportunity to communicate information to both specialists and the general public. The online presence of Molecular Cancer enables immediate publication of accepted articles and facilitates the presentation of large datasets and supplementary information. This ensures that new research is efficiently and rapidly disseminated to the scientific community.