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Zhao JY, Yao JM, Zhang XZ, Wang KL, Jiang S, Guo SY, Sheng QQ, Liao L, Dong JJ. A New Ferroptosis-Related Long Non-Coding RNA Risk Model Predicts the Prognosis of Patients With Papillary Thyroid Cancer. World J Oncol 2024; 15:648-661. [PMID: 38993258 PMCID: PMC11236373 DOI: 10.14740/wjon1838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 05/01/2024] [Indexed: 07/13/2024] Open
Abstract
Background Ferroptosis is a novel form of regulated cell death that involves in cancer progression. However, the role of ferroptosis-related long non-coding RNAs (lncRNAs) in papillary thyroid cancer (PTC) remains to be elucidated. The purpose of this paper was to clarify the prognostic value of ferroptosis-related lncRNAs in PTC. Methods The transcriptome data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) database. The correlation between ferroptosis-related genes (FRGs) and lncRNA was determined using Pearson correlation analysis. Multivariate Cox regression model (P < 0.01) was performed to establish a ferroptosis-related lncRNAs risk model. Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, risk curve and nomograms were then performed to assess the accuracy and clinical applicability of prognostic models. The correlations between the prognosis model and clinicopathological variables, immune and m6A were analyzed. Finally, in vitro assays were performed to verify the role of LINC00900, LINC01614 and PARAL1 on the proliferation, migration and invasion in TPC-1 and BCPAP cells, as well as the relationship between three lncRNAs and ferroptosis. Results A five-ferroptosis-related lncRNAs (PARAL1, LINC00900, DPH6-DT, LINC01614, LPP-AS2) risk model was constructed. Based on the risk score, samples were divided into the high- and low-risk groups. Patients in the low-risk group had better prognosis than those in high-risk group. Compared to traditional clinicopathological features, risk score was more accurate in predicting prognosis in patients with PTC. Additionally, the difference of immune cell, function and checkpoints was observed between two groups. Moreover, experiments showed that LINC00900 promoted the proliferation, migration and invasion in TPC-1 and BCPAP cells, while LINC01614 and PARAL1 revealed opposite effects, all of which were related to ferroptosis. Conclusions In summary, we identified a five-ferroptosis-related lncRNAs risk model to predict the prognosis of PTC. Furthermore, our study also revealed that LINC00900 functioned as a tumor suppressor lncRNA, LINC01614 and PARAL1 as an oncogenic lncRNA in PTC.
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Affiliation(s)
- Jun Yu Zhao
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Ji’nan 250014, China
- Department of Endocrinology and Metabology, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Ji’nan 250014, China
- These authors contributed equally to this paper
| | - Jin Ming Yao
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Ji’nan 250014, China
- These authors contributed equally to this paper
| | - Xin Zhong Zhang
- Department of Endocrinology and Metabology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Ji’nan 250012, China
| | - Kai Li Wang
- Department of Endocrinology and Metabology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Ji’nan 250012, China
| | - Shan Jiang
- Department of Endocrinology and Metabology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Ji’nan 250012, China
| | - Si Yi Guo
- Department of Endocrinology and Metabology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Ji’nan 250012, China
| | - Qi Qi Sheng
- Department of Endocrinology and Metabology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Ji’nan 250012, China
| | - Lin Liao
- Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Key Laboratory of Rheumatic Disease and Translational Medicine, Shandong Institute of Nephrology, Ji’nan 250014, China
- Department of Endocrinology and Metabology, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Ji’nan 250014, China
| | - Jian Jun Dong
- Department of Endocrinology and Metabology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Ji’nan 250012, China
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Ma S, Liao W, Chen Y, Gan L. Prognostic value and potential function of a novel heme-related LncRNAs signature in gastric cancer. Cell Signal 2024; 118:111152. [PMID: 38548123 DOI: 10.1016/j.cellsig.2024.111152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 03/19/2024] [Accepted: 03/25/2024] [Indexed: 04/01/2024]
Abstract
Heme is a coordination complex formed by the binding of iron ions and porphyrin rings. Its metabolic processes are associated with various cancers, including gastric cancer (GC). In recent years, long non-coding RNAs (LncRNAs) have been identified as key regulatory factors in GC. However, the role of LncRNAs associated with heme metabolism in GC and their relationship with prognosis have not been reported. In this study, we constructed a novel LncRNAs signature related to heme metabolism (HMlncSig) and validated its prognostic value for predicting the survival of GC patients through training, test, and entire cohorts. Kaplan-Meier analysis demonstrated that patients in the high-risk group had shorter survival times. Univariate and multivariate Cox regression analysis showed that HMlncSig was an independent prognostic indicator for GC patients, regardless of other clinical pathological features. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis and gene set variation analysis pathways showed that the activation of these markers may be involved in tumor progression, influencing the survival of GC patients. The nomogram, based on HMlncSig score and clinical features, demonstrated the strong predictive ability of this signature. Additionally, significant differences were observed between the high-risk and low-risk groups in terms of immune cell subtypes, expression of immune checkpoint genes, and response to chemotherapy and immunotherapy. Through clinical validation, we found that the risk score and heme levels of GC patients were both significantly elevated and correlated with the degree of malignancy. Furthermore, we found that AP000692.1, a key gene in this signature, promoted the proliferation, migration, and invasion of GC cells. In conclusion, our HMlncSig model has significant predictive value for the prognosis of GC patients and can provide clinical guidance for personalized immunotherapy.
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Affiliation(s)
- Shuo Ma
- Medical School of Southeast University, Nanjing 210009, Jiangsu, China
| | - Wei Liao
- Department of Surgery and Anesthesia, Chongqing University Fuling Hospital, 408000 Chongqing, China
| | - Yinhao Chen
- Department of Integrated Oncology, Center for Integrated Oncology (CIO), University Hospital Bonn, 53127 Bonn, Germany.
| | - Lin Gan
- Department of General Surgery, Chongqing University Fuling Hospital, 408000 Chongqing, China.
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Meng X, Bai X, Ke A, Li K, Lei Y, Ding S, Dai D. Long Non-Coding RNAs in Drug Resistance of Gastric Cancer: Complex Mechanisms and Potential Clinical Applications. Biomolecules 2024; 14:608. [PMID: 38927012 PMCID: PMC11201466 DOI: 10.3390/biom14060608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2024] [Revised: 05/11/2024] [Accepted: 05/16/2024] [Indexed: 06/28/2024] Open
Abstract
Gastric cancer (GC) ranks as the third most prevalent malignancy and a leading cause of cancer-related mortality worldwide. However, the majority of patients with GC are diagnosed at an advanced stage, highlighting the urgent need for effective perioperative and postoperative chemotherapy to prevent relapse and metastasis. The current treatment strategies have limited overall efficacy because of intrinsic or acquired drug resistance. Recent evidence suggests that dysregulated long non-coding RNAs (lncRNAs) play a significant role in mediating drug resistance in GC. Therefore, there is an imperative to explore novel molecular mechanisms underlying drug resistance in order to overcome this challenging issue. With advancements in deep transcriptome sequencing technology, lncRNAs-once considered transcriptional noise-have garnered widespread attention as potential regulators of carcinogenesis, including tumor cell proliferation, metastasis, and sensitivity to chemo- or radiotherapy through multiple regulatory mechanisms. In light of these findings, we aim to review the mechanisms by which lncRNAs contribute to drug therapy resistance in GC with the goal of providing new insights and breakthroughs toward overcoming this formidable obstacle.
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Affiliation(s)
- Xiangyu Meng
- Department of Surgical Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; (X.M.); (X.B.); (K.L.); (Y.L.); (S.D.)
- Department of Gastric Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital, Shenyang 110042, China
| | - Xiao Bai
- Department of Surgical Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; (X.M.); (X.B.); (K.L.); (Y.L.); (S.D.)
| | - Angting Ke
- Department of Surgical Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; (X.M.); (X.B.); (K.L.); (Y.L.); (S.D.)
| | - Kaiqiang Li
- Department of Surgical Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; (X.M.); (X.B.); (K.L.); (Y.L.); (S.D.)
| | - Yun Lei
- Department of Surgical Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; (X.M.); (X.B.); (K.L.); (Y.L.); (S.D.)
| | - Siqi Ding
- Department of Surgical Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; (X.M.); (X.B.); (K.L.); (Y.L.); (S.D.)
| | - Dongqiu Dai
- Department of Surgical Oncology, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China; (X.M.); (X.B.); (K.L.); (Y.L.); (S.D.)
- Cancer Center, the Fourth Affiliated Hospital of China Medical University, Shenyang 110032, China
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Dong J, Tao T, Yu J, Shan H, Liu Z, Zheng G, Li Z, Situ W, Zhu X, Li Z. A ferroptosis-related LncRNAs signature for predicting prognoses and screening potential therapeutic drugs in patients with lung adenocarcinoma: A retrospective study. Cancer Rep (Hoboken) 2024; 7:e1925. [PMID: 38043920 PMCID: PMC10809199 DOI: 10.1002/cnr2.1925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 09/22/2023] [Accepted: 10/16/2023] [Indexed: 12/05/2023] Open
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) has a high mortality rate. Ferroptosis is linked to tumor initiation and progression. AIMS This study aims to develop prognostic models of ferroptosis-related lncRNAs, evaluate the correlation between differentially expressed genes and tumor microenvironment, and identify prospective drugs for managing LUAD. METHODS AND RESULTS In this study, transcriptomic and clinical data were downloaded from the TCGA database, and ferroptosis-related genes were obtained from the FerrDb database. Through correlation analysis, Cox analysis, and the LASSO algorithm for constructing a prognostic model, we found that ferroptosis-related lncRNA-based gene signatures (FLncSig) had a strong prognostic predicting ability in the LUAD patients. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichments reconfirmed that ferroptosis is related to receptor-ligand activity, enzyme inhibitor activity, and the IL-17 signaling pathway. Next, tumor mutation burden (TMB), tumor immune dysfunction and exclusion (TIDE) algorithms, and pRRophetic were used to predict immunotherapy response and chemotherapy sensitivity. The IMvigor210 cohort was also used to validate the prognostic model. In the tumor microenvironment, Type_II_IFN_Response and HLA were found to be a group of low-risk pathways, while MHC_class_I was a group of high-risk pathways. Patients in the high-risk subgroup had lower TIDE scores. Exclusion, MDSC, CAF, and TAMM2 were significantly and positively correlated with risk scores. In addition, we found 15 potential therapeutic drugs for LUAD. Finally, differential analysis of stemness index based on mRNA expression (mRNAsi) indicated that mRNAsi was correlated with gender, primary tumor (T), distant metastasis (M), and the tumor, node, and metastasis (TNM) stage in LUAD patients. CONCLUSIONS In conclusion, the prognostic model based on FLncSig can alleviate the difficulty in predicting the prognosis and immunotherapy of LUAD patients. The identified FLncSig and the screened drugs exhibit potential for clinical application and provide references for the treatment of LUAD.
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Affiliation(s)
- Jiaxin Dong
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Tao Tao
- Medical Research Center, Department of GastroenterologyZibo Central HospitalZiboChina
| | - Jiaao Yu
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Huisi Shan
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Ziyu Liu
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Guangzhao Zheng
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Zhihong Li
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Wanyi Situ
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Xiao Zhu
- Computational Systems Biology Lab (CSBL), The Marine Biomedical Research InstituteGuangdong Medical UniversityZhanjiangChina
| | - Zesong Li
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen Key Laboratory of Genitourinary Tumor, Department of UrologyThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine)ShenzhenChina
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5
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Cui H, Lian J, Xu B, Yu Z, Xiang H, Shi J, Gao Y, Han T. Identification of a bile acid and bile salt metabolism-related lncRNA signature for predicting prognosis and treatment response in hepatocellular carcinoma. Sci Rep 2023; 13:19512. [PMID: 37945918 PMCID: PMC10636107 DOI: 10.1038/s41598-023-46805-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 11/05/2023] [Indexed: 11/12/2023] Open
Abstract
Bile acids and salts have been shown to play a role in liver carcinogenesis through DNA damage, inflammation, and tumor proliferation. However, the correlation between bile acid metabolism and hepatocellular carcinoma (HCC) prognosis remains unclear. This study aimed to identify a predictive signature of bile acid and bile salt metabolism-related long non-coding RNAs (lncRNAs) for HCC prognosis and treatment response. The study used HCC RNA-sequencing data and corresponding clinical and prognostic data from The Cancer Genome Atlas. A prognostic model consisting of five bile acid and bile salt metabolism-related lncRNAs was developed and evaluated in a training set, a validation set and an external set. The model demonstrated good performance in predicting HCC prognosis and was shown to be an independent biomarker for prognosis. Additionally, our study revealed a significant association between the signature and immune cell infiltration, as well as its predictive value for therapeutic responses to both immunotherapy and chemotherapy. Furthermore, three LncRNAs (LUCAT1, AL031985.3 and AC015908.3) expression levels in our signature were validated through qRT-PCR in a cohort of 50 pairs of HCC patient tumor samples and corresponding adjacent non-tumor samples, along with 10 samples of normal liver tissue adjacent to benign lesions. These findings suggest that this novel bile acid and bile salt metabolism-related lncRNA signature can independently predict the prognosis of patients with HCC and may be utilized as a potential predictor of response to treatment in this setting.
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Affiliation(s)
- Hao Cui
- Department of Gastroenterology and Hepatology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center, Tianjin Medical University, Tianjin, China
- Department of Gastroenterology and Hepatology, The Third Central Hospital of Tianjin, Tianjin, China
| | - Jia Lian
- Department of Gastroenterology and Hepatology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center, Tianjin Medical University, Tianjin, China
- Department of Gastroenterology and Hepatology, The Third Central Hospital of Tianjin, Tianjin, China
| | - Baiguo Xu
- Department of Gastroenterology and Hepatology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center, Tianjin Medical University, Tianjin, China
- Department of Gastroenterology and Hepatology, The Third Central Hospital of Tianjin, Tianjin, China
| | - Zhenjun Yu
- Department of Gastroenterology and Hepatology, The Third Central Clinical College of Tianjin Medical University, Tianjin, China
| | - Huiling Xiang
- Department of Gastroenterology and Hepatology, The Third Central Hospital of Tianjin, Tianjin, China.
| | - Jingxiang Shi
- Department of Hepatobiliary Surgery, The Third Central Hospital of Tianjin, Tianjin, China.
| | - Yingtang Gao
- Tianjin Key Laboratory of Extracorporeal Life Support for Critical Diseases, Tianjin Institute of Hepatobiliary Disease, Nankai University Affinity the Third Central Hospital, Tianjin, China.
| | - Tao Han
- Department of Gastroenterology and Hepatology, Tianjin Union Medical Center, Tianjin Medical University, Tianjin, China.
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Li Q, Yin LK. Comprehensive analysis of disulfidptosis related genes and prognosis of gastric cancer. World J Clin Oncol 2023; 14:373-399. [PMID: 37970110 PMCID: PMC10631345 DOI: 10.5306/wjco.v14.i10.373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/07/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023] Open
Abstract
BACKGROUND Gastric cancer (GC) is a common malignant tumor of the digestive system. Disulfidptosis is a new programmed cell death mechanism, although its specific mechanism in GC is incompletely understood. AIM In this study, we used bioinformatics analysis to explore a disulfidptosis-based predictive model related to GC prognosis and to identify potential therapeutic targets and sensitive drugs for GC. METHODS We extracted GC-related data from The Cancer Genome Atlas and Gene Expression Omnibus databases. R software (version 4.2.1) was used for correlation analysis. RESULTS Through the above analysis, we found that the disulfidptosis related gene may be related to the prognosis of GC. Six genes, namely, PLS3, GRP, APOD, SGCE, COL8A1, and VAMP7, were found to constitute a predictive model for GC prognosis. APOD is a potential therapeutic target for treating GC. Bosutinib and other drugs are sensitive for the treatment of GC. CONCLUSION The results of this study indicate that disulfidptosis is related to the prognosis and treatment of GC, while APOD represents a potential therapeutic target for GC.
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Affiliation(s)
- Qian Li
- Department of Oncology, Fushun Hospital of Traditional Chinese Medicine, Zigong 643200, Sichuan Province, China
| | - Long-Kuan Yin
- Department of Gastrointestinal Surgery, Fushun People’s Hospital, Zigong 643200, Sichuan Province, China
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Zhang Q, Fan X, Zhang X, Ju S. Ferroptosis in tumors and its relationship to other programmed cell death: role of non-coding RNAs. J Transl Med 2023; 21:514. [PMID: 37516888 PMCID: PMC10387214 DOI: 10.1186/s12967-023-04370-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 07/17/2023] [Indexed: 07/31/2023] Open
Abstract
Programmed cell death (PCD) plays an important role in many aspects of individual development, maintenance of body homeostasis and pathological processes. Ferroptosis is a novel form of PCD characterized by the accumulation of iron-dependent lipid peroxides resulting in lethal cell damage. It contributes to tumor progression in an apoptosis-independent manner. In recent years, an increasing number of non-coding RNAs (ncRNAs) have been demonstrated to mediate the biological process of ferroptosis, hence impacting carcinogenesis, progression, drug resistance, and prognosis. However, the clear regulatory mechanism for this phenomenon remains poorly understood. Moreover, ferroptosis does not usually exist independently. Its interaction with PCD, like apoptosis, necroptosis, autophagy, pyroptosis, and cuproptosis, to destroy cells appears to exist. Furthermore, ncRNA seems to be involved. Here, we review the mechanisms by which ferroptosis occurs, dissect its relationship with other forms of death, summarize the key regulatory roles played by ncRNAs, raise relevant questions and predict possible barriers to its application in the clinic, offering new ideas for targeted tumour therapy.
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Affiliation(s)
- Qi Zhang
- Medical School of Nantong University, Nantong University, Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Xinfeng Fan
- Medical School of Nantong University, Nantong University, Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China
| | - Xinyu Zhang
- Medical School of Nantong University, Nantong University, Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.
- Department of Medical School of Nantong University, No.19, Qixiu Road, Nantong, 226001, Jiangsu, China.
| | - Shaoqing Ju
- Medical School of Nantong University, Nantong University, Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, 226001, Jiangsu, China.
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, No.20, Xisi Road, Nantong, 226001, Jiangsu, China.
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Zhao Z, Mak TK, Shi Y, Huang H, Huo M, Zhang C. The DNA damage repair-related lncRNAs signature predicts the prognosis and immunotherapy response in gastric cancer. Front Immunol 2023; 14:1117255. [PMID: 37457685 PMCID: PMC10339815 DOI: 10.3389/fimmu.2023.1117255] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 06/16/2023] [Indexed: 07/18/2023] Open
Abstract
Background Gastric cancer (GC) is one of the most prevalent cancers, and it has unsatisfactory overall treatment outcomes. DNA damage repair (DDR) is a complicated process for signal transduction that causes cancer. lncRNAs can influence the formation and incidence of cancers by influencing DDR-related mRNAs/miRNAs. A DDR-related lncRNA prognostic model is urgently needed to improve treatment strategies. Methods The data of GC samples were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. A total of 588 mRNAs involved in DDR were selected from MSigDB, 62 differentially expressed mRNAs from TCGA-STAD were obtained, and 137 lncRNAs were correlated with these mRNAs. Univariate Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were used to develop a DDR-related lncRNA prognostic model. Based on the risk model, the differentially expressed gene signature A/B in the low-risk and high-risk groups of TCGA-STAD was identified for further validation. Results The prognosis model of 5 genes (AC145285.6, MAGI2-AS3, AL590705.3, AC007405.3, and LINC00106) was constructed and classified into two risk groups. We found that GC patients with a low-risk score had a better OS than those with a high-risk score. We found that the high-risk group tended to have higher TME scores. We also found that patients in the high-risk group had a higher proportion of resting CD4 T cells, monocytes, M2 macrophages, resting dendritic cells, and resting mast cells, whereas the low-risk subgroup had a greater abundance of activated CD4 T cells, follicular helper T cells, M0 macrophages, and M1 macrophages. We observed significant differences in the T-cell exclusion score, T-cell dysfunction, MSI, and TMB between the two risk groups. In addition, we found that patients treated with immunotherapy in the low-RS score group had a longer survival and a better prognosis than those in the high-RS score group. Conclusion The prognostic model has a significant role in the TME, clinicopathological characteristics, prognosis, MSI, and drug sensitivity. We also discovered that patients treated with immunotherapy in the low-RS score group had a better prognosis. This work provides a foundation for improving the prognosis and response to immunotherapy among patients with GC.
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Affiliation(s)
- Zidan Zhao
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Tsz Kin Mak
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Yuntao Shi
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Huaping Huang
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Mingyu Huo
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Changhua Zhang
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
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9
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Zhang Q, Wang C, Yang Y, Xu R, Li Z. LncRNA and its role in gastric cancer immunotherapy. Front Cell Dev Biol 2023; 11:1052942. [PMID: 36875764 PMCID: PMC9978521 DOI: 10.3389/fcell.2023.1052942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023] Open
Abstract
Gastric cancer (GC) is a potential dominant disease in tumor immunotherapy checkpoint inhibitors, and adoptive cell therapy have brought great hope to GC patients. However, only some patients with GC can benefit from immunotherapy, and some patients develop drug resistance. More and more studies have shown that long non-coding RNAs (lncRNAs) may be important in GC immunotherapy's prognosis and drug resistance. Here, we summarize the differential expression of lncRNAs in GC and their impact on the curative effect of GC immunotherapy, discuss potential mechanisms of activity in GC immunotherapy resistance regulated by lncRNAs. This paper reviews the differential expression of lncRNA in GC and its effect on immunotherapy efficacy in GC. In terms of genomic stability, inhibitory immune checkpoint molecular expression, the cross-talk between lncRNA and immune-related characteristics of GC was summarized, including tumor mutation burden (TMB), microsatellite instability (MSI), and Programmed death 1 (PD-1). At the same time, this paper reviewed the mechanism of tumor-induced antigen presentation and upregulation of immunosuppressive factors, as well as the association between Fas system and lncRNA, immune microenvironment (TIME) and lncRNA, and summarized the functional role of lncRNA in tumor immune evasion and immunotherapy resistance.
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Affiliation(s)
- Qiang Zhang
- Department of Digestive endoscopy, Jiangsu Province Hospital of Traditional Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Chuanchi Wang
- Xin-Huangpu Joint Innovation Institute of Chinese Medicine, Guangzhou, Guangdong, China.,China Science and Technology Development Center of Chinese Medicine, Beijing, China
| | - Yan Yang
- China Science and Technology Development Center of Chinese Medicine, Beijing, China
| | - Ruihan Xu
- The Comprehensive Cancer Centre of Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, China
| | - Ziyun Li
- Acupuncture and Tuina college, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
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10
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Guo P, Wang P, Liu L, Wang P, Qu Z, Yu Z, Liu N. A novel
N7
‐methylguanosine‐related long noncoding
RNAs
signature for predicting prognosis and immune microenvironment in gastric cancer patients. PRECISION MEDICAL SCIENCES 2022. [DOI: 10.1002/prm2.12087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Affiliation(s)
- Peisen Guo
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Panpan Wang
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
| | - Limin Liu
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Peixi Wang
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Zhi Qu
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
| | - Zengli Yu
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
| | - Nan Liu
- College of Public Health Zhengzhou University Zhengzhou People's Republic of China
- Institute of Chronic Disease Risks Assessment, School of Nursing and Health, Jinming Avenue North Section Henan University Kaifeng People's Republic of China
- Institute of Environment and Health, South China Hospital, Health Science Center Shenzhen University Shenzhen People's Republic of China
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11
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Yuan M, Jia Y, Xing Y, Wang Y, Liu Y, Liu X, Liu D. Screening and validation of platelet activation-related lncRNAs as potential biomarkers for prognosis and immunotherapy in gastric cancer patients. Front Genet 2022; 13:965033. [PMID: 36186426 PMCID: PMC9515443 DOI: 10.3389/fgene.2022.965033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/30/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Platelets (PLT) have a significant effect in promoting cancer progression and hematogenous metastasis. However, the effect of platelet activation-related lncRNAs (PLT-related lncRNAs) in gastric cancer (GC) is still poorly understood. In this study, we screened and validated PLT-related lncRNAs as potential biomarkers for prognosis and immunotherapy in GC patients.Methods: We obtained relevant datasets from the Cancer Genome Atlas (TCGA) and Gene Ontology (GO) Resource Database. Pearson correlation analysis was used to identify PLT-related lncRNAs. By using the univariate, least absolute shrinkage and selection operator (LASSO) Cox regression analyses, we constructed the PLT-related lncRNAs model. Kaplan-Meier survival analysis, univariate, multivariate Cox regression analysis, and nomogram were used to verify the model. The Gene Set Enrichment Analysis (GSEA), drug screening, tumor immune microenvironment analysis, epithelial-mesenchymal transition (EMT), and DNA methylation regulators correlation analysis were performed in the high- and low-risk groups. Patients were regrouped based on the risk model, and candidate compounds and immunotherapeutic responses aimed at GC subgroups were also identified. The expression of seven PLT-related lncRNAs was validated in clinical medical samples using quantitative reverse transcription-polymerase chain reaction (qRT-PCR).Results: In this study, a risk prediction model was established using seven PLT-related lncRNAs -(AL355574.1, LINC01697, AC002401.4, AC129507.1, AL513123.1, LINC01094, and AL356417.2), whose expression were validated in GC patients. Kaplan-Meier survival analysis, the receiver operating characteristic (ROC) curve analysis, univariate, multivariate Cox regression analysis verified the accuracy of the model. We screened multiple targeted drugs for the high-risk patients. Patients in the high-risk group had a poorer prognosis since low infiltration of immune killer cells, activation of immunosuppressive pathways, and poor response to immunotherapy. In addition, we revealed a close relationship between risk scores and EMT and DNA methylation regulators. The nomogram based on risk score suggested a good ability to predict prognosis and high clinical benefits.Conclusion: Our findings provide new insights into how PLT-related lncRNAs biomarkers affect prognosis and immunotherapy. Also, these lncRNAs may become potential biomarkers and therapeutic targets for GC patients.
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Affiliation(s)
- Mingjie Yuan
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Laboratory, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Yanfei Jia
- Research Center of Basic Medicine, Jinan Central Hospital, Shandong First Medical University, Jinan, China
| | - Yuanxin Xing
- Research Center of Basic Medicine, Jinan Central Hospital, Shandong First Medical University, Jinan, China
| | - Yunshan Wang
- Research Center of Basic Medicine, Jinan Central Hospital, Shandong First Medical University, Jinan, China
| | - Yunyun Liu
- Research Center of Basic Medicine, Jinan Central Hospital, Shandong First Medical University, Jinan, China
- Research Center of Basic Medicine, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiangdong Liu
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Xiangdong Liu, ; Duanrui Liu,
| | - Duanrui Liu
- Department of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- *Correspondence: Xiangdong Liu, ; Duanrui Liu,
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12
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Cell death affecting the progression of gastric cancer. Cell Death Dis 2022; 8:377. [PMID: 36038533 PMCID: PMC9424204 DOI: 10.1038/s41420-022-01161-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Revised: 08/04/2022] [Accepted: 08/08/2022] [Indexed: 12/07/2022]
Abstract
Gastric cancer is a gastrointestinal tumor with high morbidity and mortality rates. Several factors influence its progression, cell death being an important element. In this review, we summarized the effects of necrosis, apoptosis, necroptosis, pyroptosis, ferroptosis, and eight less common cell death modalities on gastric cancer cells and the tumor microenvironment, detailed the molecular mechanisms of various cell death and their major regulatory pathways in gastric cancer, explored the prevalence and complexity of cell death in gastric cancer progression and highlighted the potentials of cell death-related therapies in gastric cancer.
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13
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Lu L, Chen B, Xu Y, Zhang X, Jin L, Qian H, Wang Y, Liang ZF. Role of ferroptosis and ferroptosis-related non-coding RNAs in the occurrence and development of gastric cancer. Front Pharmacol 2022; 13:902302. [PMID: 36046827 PMCID: PMC9421149 DOI: 10.3389/fphar.2022.902302] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 06/28/2022] [Indexed: 01/17/2023] Open
Abstract
Gastric cancer (GC) is a malignant cancer of the digestive tract and is a life-threatening disease worldwide. Ferroptosis is a newly discovered form of regulated cell death, which involves the accumulation of iron-dependent lipid peroxides. It has been found that ferroptosis plays an important regulatory role in the occurrence, development, drug resistance, and prognosis of GC. Non-coding RNAs (ncRNAs) play a critical role in the occurrence and progression of a variety of diseases including GC. In recent years, the role of ferroptosis and ferroptosis-related ncRNAs (miRNA, lncRNA, and circRNA) in the occurrence, development, drug resistance, and prognosis of GC has attracted more and more attention. Herein, we briefly summarize the roles and functions of ferroptosis and ferroptosis-related ncRNAs in GC tumorigenesis, development, and prognosis. We also prospected the future research direction and challenges of ferroptosis and ferroptosis-related ncRNAs in GC.
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Affiliation(s)
- Ling Lu
- Child Healthcare Department, The Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, JS, China
| | - Bei Chen
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, JS, China
- Suzhou Science and Technology Town Hospital, Suzhou, JS, China
| | - Yumeng Xu
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, JS, China
| | - Xinyi Zhang
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, JS, China
| | - Longtao Jin
- Child Healthcare Department, The Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, JS, China
| | - Hui Qian
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, JS, China
| | - Yi Wang
- Department of Urology, the Second Hospital of Anhui Medical University, Hefei, China
- *Correspondence: Yi Wang, ; Zhao Feng Liang,
| | - Zhao Feng Liang
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, JS, China
- *Correspondence: Yi Wang, ; Zhao Feng Liang,
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14
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Li J, Xiang R, Song W, Wu J, Kong C, Fu T. A Novel Ferroptosis-Related LncRNA Pair Prognostic Signature Predicts Immune Landscapes and Treatment Responses for Gastric Cancer Patients. Front Genet 2022; 13:899419. [PMID: 35795206 PMCID: PMC9250987 DOI: 10.3389/fgene.2022.899419] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/04/2022] [Indexed: 12/22/2022] Open
Abstract
Background: The construction of ferroptosis-related lncRNA prognostic models in malignancies has been an intense area of research recently. However, most of the studies focused on the exact expression of lncRNAs and had limited application values. Herein, we aim to establish a novel prognostic model for gastric cancer (GC) patients and discuss its correlation with immune landscapes and treatment responses.Methods: The present study retrieved transcriptional data of GC patients from the Cancer Genome Atlas (TCGA) database. We identified differentially expressed ferroptosis-related lncRNAs between tumor and normal controls of GC samples. Based on a new method of cyclically single pairing, we constructed a 0 or 1 matrix of ferroptosis-related lncRNA pairs (FRLPs). A risk score signature consisting of 10 FRLPs was established using multi-step Cox regression analysis. Next, we performed a series of systematic analyses to investigate the association of the FRLP model and tumor microenvironment, biological function, and treatment responses. An alternative model to the FRLP risk score signature, the gene set score (GS) model was also constructed, which could represent the former when lncRNA expression was not available.Results: We established a novel prognostic signature of 10 ferroptosis-related lncRNA pairs. High-risk patients in our risk score model were characterized by high infiltration of immune cells, upregulated carcinogenic and stromal activities, and heightened sensitivity to a wide range of anti-tumor drugs, whereas low-risk patients were associated with better responses to methotrexate treatment and elevated immunotherapeutic sensitivity. The practicability of the FRLP risk score model was also validated in two independent microarray datasets downloaded from Gene Expression Omnibus (GEO) using the GS model. Finally, two online dynamic nomograms were built to enhance the clinical utility of the study.Conclusion: In this study, we developed a ferroptosis-related lncRNA pair-based risk score model that did not rely on the exact lncRNA expression level. This novel model might provide insights for the accurate prediction and comprehensive management for GC patients.
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15
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Xu Y, Zheng Q, Zhou T, Ye B, Xu Q, Meng X. Necroptosis-Related LncRNAs Signature and Subtypes for Predicting Prognosis and Revealing the Immune Microenvironment in Breast Cancer. Front Oncol 2022; 12:887318. [PMID: 35686108 PMCID: PMC9171493 DOI: 10.3389/fonc.2022.887318] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 04/15/2022] [Indexed: 12/14/2022] Open
Abstract
Purpose Necroptosis is a mode of programmed cell death that overcomes apoptotic resistance. We aimed to construct a steady necroptosis-related signature and identify subtypes for prognostic and immunotherapy sensitivity prediction. Methods Necroptosis-related prognostic lncRNAs were selected by co-expression analysis, and were used to construct a linear stepwise regression model via univariate and multivariate Cox regression, along with least absolute shrinkage and selection operator (LASSO). Quantitative reverse transcription polymerase chain reaction (RT-PCR) was used to measure the gene expression levels of lncRNAs included in the model. Based on the riskScore calculated, we separated patients into high- and low-risk groups. Afterwards, we performed CIBERSORT and the single-sample gene set enrichment analysis (ssGSEA) method to explore immune infiltration status. Furthermore, we investigated the relationships between the signature and immune landscape, genomic integrity, clinical characteristics, drug sensitivity, and immunotherapy efficacy. Results We constructed a robust necroptosis-related 22-lncRNA model, serving as an independent prognostic factor for breast cancer (BRCA). The low-risk group seemed to be the immune-activated type. Meanwhile, it showed that the higher the tumor mutation burden (TMB), the higher the riskScore. PD-L1-CTLA4 combined immunotherapy seemed to be a promising treatment strategy. Lastly, patients were assigned to 4 clusters to better discern the heterogeneity among patients. Conclusions The necroptosis-related lncRNA signature and molecular clusters indicated superior predictive performance in prognosis and the immune microenvironment, which may also provide guidance to drug regimens for immunotherapy and provide novel insights into precision medicine.
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Affiliation(s)
- Yuhao Xu
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Qinghui Zheng
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
| | - Tao Zhou
- Hangzhou Medical College, Hangzhou, China
| | - Buyun Ye
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Qiuran Xu
- Laboratory of Tumor Molecular Diagnosis and Individualized Medicine of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
| | - Xuli Meng
- General Surgery, Cancer Center, Department of Breast Surgery, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
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Wei Y, Gao L, Yang X, Xiang X, Yi C. Inflammation-Related Genes Serve as Prognostic Biomarkers and Involve in Immunosuppressive Microenvironment to Promote Gastric Cancer Progression. Front Med (Lausanne) 2022; 9:801647. [PMID: 35372408 PMCID: PMC8965837 DOI: 10.3389/fmed.2022.801647] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/15/2022] [Indexed: 02/05/2023] Open
Abstract
Gastric cancer (GC) is a typical inflammatory-related malignant tumor which is closely related to helicobacter pylori infection. Tumor inflammatory microenvironment plays a crucial role in tumor progression and affect the clinical benefit from immunotherapy. In recent years, immunotherapy for gastric cancer has achieved promising outcomes, but not all patients can benefit from immunotherapy due to tumor heterogeneity. In our study, we identified 29 differentially expressed and prognostic inflammation-related genes in GC and normal samples. Based on those genes, we constructed a prognostic model using a least absolute shrinkage and selection operator (LASSO) algorithm, which categorized patients with GC into two groups. The high-risk group have the characteristics of "cold tumor" and have a poorer prognosis. In contrast, low-risk group was "hot tumor" and had better prognosis. Targeting inflammatory-related genes and remodeling tumor microenvironment to turn "cold tumor" into "hot tumor" may be a promising solution to improve the efficacy of immunotherapy for patients with GC.
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Affiliation(s)
- Yuanfeng Wei
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Limin Gao
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Xi Yang
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyu Xiang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Cheng Yi
- Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
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