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Sun J, Zhu S. Identifying the role of hypoxia-related lncRNAs in pancreatic cancer. Genomics 2023; 115:110665. [PMID: 37315872 DOI: 10.1016/j.ygeno.2023.110665] [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: 12/28/2022] [Revised: 04/30/2023] [Accepted: 06/08/2023] [Indexed: 06/16/2023]
Abstract
BACKGROUND Long noncoding RNAs (lncRNAs) play important roles in hypoxia-induced tumor processes. However, the prognostic value of hypoxia-related lncRNAs in pancreatic cancer is limited. METHODS Hypoxia-related lncRNAs were identified by coexpression analysis and the LncTarD database. LASSO analysis was performed to develop a prognostic model. The function of TSPOAP1-AS1 was studied in vitro and in vivo. RESULTS We recognized a set of fourteen hypoxia-related lncRNAs for the construction of a prognostic model. The prognostic model displayed excellent performance in predicting the prognosis of pancreatic cancer patients. The overexpression of TSPOAP1-AS1, a hypoxia-related lncRNA, attenuated the proliferation and invasion of pancreatic cancer cells. HIF-1α bound to the promoter of TSPOAP1-AS1 and impaired its transcription under hypoxia. CONCLUSION The hypoxia-related lncRNA assessment model might be a potential strategy for prognostic prediction in pancreatic cancer. The fourteen lncRNAs contained in the model could be helpful for uncovering the mechanisms of pancreatic tumorigenesis.
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Affiliation(s)
- Jing Sun
- The Stomatology Center of Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Academician workstation for Oral & Maxillofacial Regenerative Medicine, Central South University, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Shuai Zhu
- Department of Pancreatic Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; Department of General Surgery, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China.
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2
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Hjazi A, Obaid RF, Ali SS, Abdullaev B, Alsaab HO, Huldani H, Romero-Parra RM, Mustafa YF, Hussien BM, Saadoon SJ. The cross-talk between LncRNAs and JAK-STAT signaling pathway in cancer. Pathol Res Pract 2023; 248:154657. [PMID: 37451194 DOI: 10.1016/j.prp.2023.154657] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 06/26/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023]
Abstract
Long non-coding RNAs (lncRNAs) are non-coding RNAs that were transcribed from the human genome and have become important regulators in a number of cellular activities, mostly via controlling gene expression. A growing body of evidence shows that lncRNAs regulate various factors to impact various biological activities that are related to tumorigenesis, including the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway. lncRNAs influence the JAK-STAT signaling pathway either by directly targeting or via indirectly modulating other upstream or downstream pathways' components like members of the suppressor of cytokine signaling (SOCS) family, and other genes that regulate cell proliferation, apoptosis, migration, invasion, and epithelial-mesenchymal transition. Furthermore, lncRNAs can act as downstream effectors of the JAK-STAT pathway and mediates tumorigenesis. The relationship between JAK-STAT signaling and lncRNAs differs among various types of cancers. Besides, lncRNAs, as biological molecules, have been shown to play a dual role in either tumorigenesis or tumor suppression in various cancers. In this review, we focus on the reciprocated regulation and functions of lncRNAs and the JAK-STAT signaling pathway in cancer, as well as narrate the latest research progress on this association. A deeper understanding of this correlation may simplify the recognition of potential targets for clinical therapeutics.
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Affiliation(s)
- Ahmed Hjazi
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
| | - Rasha Fadhel Obaid
- Department of Biomedical Engineering, Al-Mustaqbal University College, Babylon, Iraq.
| | - Sally Saad Ali
- College of Dentistry, Al-Bayan University, Baghdad, Iraq.
| | - Bekhzod Abdullaev
- Department of Strategic Developement, Innovation and Research, New Uzbekistan University, 54 Mustaqillik Ave., Tashkent 100007, Uzbekistan; Senior researcher, Editory LLC, Tashkent 100050, Uzbekistan; Department of R&D, Independent Agency for Research Strategy, Tashkent 100050, Uzbekistan.
| | - Hashem O Alsaab
- Department of Pharmaceutics and Pharmaceutical Technology, Taif University, Taif 21944, Saudi Arabia.
| | - Huldani Huldani
- Department of Physiology, Faculty of Medicine, Lambung Mangkurat University, Banjarmasin, South Kalimantan, Indonesia.
| | - Rosario Mireya Romero-Parra
- Universidad Continental, Lima, Perú; Department of General Studies, University of Universidad Continental, Lima, Perú.
| | - Yasser Fakri Mustafa
- Department of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul 41001, Iraq.
| | - Beneen M Hussien
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq.
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Li Q, Zhang H, Hu J, Zhang L, Zhao A, Feng H. Construction of anoikis-related lncRNAs risk model: Predicts prognosis and immunotherapy response for gastric adenocarcinoma patients. Front Pharmacol 2023; 14:1124262. [PMID: 36925640 PMCID: PMC10011703 DOI: 10.3389/fphar.2023.1124262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 02/17/2023] [Indexed: 03/08/2023] Open
Abstract
Background: Anoikis acts as a programmed cell death that is activated during carcinogenesis to remove undetected cells isolated from ECM. Further anoikis based risk stratification is expected to provide a deeper understanding of stomach adenocarcinoma (STAD) carcinogenesis. Methods: The information of STAD patients were acquired from TCGA dataset. Anoikis-related genes were obtained from the Molecular Signatures Database and Pearson correlation analysis was performed to identify the anoikis-related lncRNAs (ARLs). We performed machine learning algorithms, including Univariate Cox regression and Least Absolute Shrinkage and Selection Operator (Lasso) analyses on the ARLs to build the OS-score and OS-signature. Clinical subgroup analysis, tumor mutation burden (TMB) detection, drug susceptibility analysis, immune infiltration and pathway enrichment analysis were further performed to comprehensive explore the clinical significance. Results: We established a STAD prognostic model based on five ARLs and its prognostic value was verified. Survival analysis showed that the overall survival of high-risk score patients was significantly shorter than that of low-risk score patients. The column diagrams show satisfactory discrimination and calibration. The calibration curve verifies the good agreement between the prediction of the line graph and the actual observation. TIDE analysis and drug sensitivity analysis showed significant differences between different risk groups. Conclusion: The novel prognostic model based on anoikis-related lncRNAs we identified could be used for prognosis prediction and precise therapy in gastric adenocarcinoma.
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Affiliation(s)
- Qinglin Li
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.,Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.,Key Laboratory of Head and Neck Cancer, Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
| | | | - Jinguo Hu
- Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Lizhuo Zhang
- Zhejiang Provincial People's Hospital, Hangzhou, Zhejiang, China
| | - Aiguang Zhao
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - He Feng
- Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.,Key Laboratory of Head and Neck Cancer, Translational Research of Zhejiang Province, Hangzhou, Zhejiang, China
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Han R, Tian Z, Jiang Y, Guan G, Wang X, Sun X, Yu Y, Jing X. Prognostic significance of the systemic immune inflammation index in patients with metastatic and unresectable pancreatic cancer. Front Surg 2022; 9:915599. [PMID: 36111233 PMCID: PMC9468225 DOI: 10.3389/fsurg.2022.915599] [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: 04/08/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
PurposeSystemic inflammatory markers may be predictors of the survival rate of patients with pancreatic cancer (PC). The aim of this work was to investigate the prognostic value of markers, mainly the systemic immune inflammation index (SII), in patients with metastatic and unresectable PC and to explore the relationship between markers and liver metastasis.MethodsRecords of patients with metastatic and unresectable PC at the Affiliated Hospital of Qingdao University from January 2000 to December 2019 and who were followed until December 2020 were retrospectively analyzed. Clinical data and laboratory indexes were collected, and cut-off values for inflammatory markers were determined using median values. The Cox proportional hazard model was used to analyze the prognostic value of the markers through univariate and multivariate survival analysis.ResultsAll 253 patients met the inclusion criteria, and 102 (42.0%) patients had liver metastasis. The patients were divided into a high SII group and a low SII group, and the cut-off value was 533. In the multivariate analysis, high SII (HR = 2.151; p < 0.001), chemotherapy (HR = 0.546; p < 0.001), lymph node metastasis (HR = 4.053; p < 0.001), and distant metastasis (HR = 1.725; p = 0.001) were independent risk markers of overall survival (OS). The level of markers, mainly SII, PLR and NLR, were higher in patients with liver metastasis.ConclusionsA high level of SII is an independent risk factor for short overall survival of patients with metastatic and unresectable PC. Patients with a high level of the inflammatory markers SII, PLR, and NLR, may be more prone to early liver metastasis.
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Affiliation(s)
- Rongshuang Han
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zibin Tian
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yueping Jiang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ge Guan
- Liver Disease Center Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiaowei Wang
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xueguo Sun
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yanan Yu
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xue Jing
- Gastroenterology Department, The Affiliated Hospital of Qingdao University, Qingdao, China
- Correspondence: Xue Jing
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Hao X, Zhang M, Gu M, Wang Z, Zhou S, Li W, Xu S. Long non-coding RNA BZRAP1-AS1 functions in malignancy and prognosis for non-small-cell lung cancer. PeerJ 2022; 10:e13871. [PMID: 36032951 PMCID: PMC9415519 DOI: 10.7717/peerj.13871] [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: 02/08/2022] [Accepted: 07/19/2022] [Indexed: 01/18/2023] Open
Abstract
Purpose The function of BZRAP1-AS1 is unknown in lung cancer. We evaluated the clinicopathologic significance of BZRAP1-AS1, and its role in non-small-cell lung cancer (NSCLC) progression. Patient and methods Sixty-three NSCLC patients from Beijing Chest Hospital were included. The expression of BZRAP1-AS1 was detected by real-time quantitative polymerase chain reaction (RT-qPCR) in tumor tissues and adjacent normal tissues. Then, the clinicopathological significance and prognostic value of BZRAP1-AS1 were analyzed by using our cohort and TCGA cohort. Finally, the effect of BZRAP1-AS1 on proliferation and motility of NSCLC cell lines were evaluated by cell growth assay, colony formation assay, xenograft tumorigenesis experiment in nude mice and transwell assays respectively. Results Compared with adjacent normal tissues, BZRAP1-AS1 showed lower expression in NSCLC tumor tissues. As for the relationship between BZRAP1-AS1 and clinical characteristics, our results were consistent with those of TCGA data. BZRAP1-AS1 was lower in T1 than T2-T4 patients, N1-N3 than N0 patients. Low level BZRAP1-AS1 was related to shorter overall survival time (OS) in lung adenocarcinoma (LUAD), and poor first progression time (FP) in LUAD and lung squamous cell carcinoma (LUSC) patients. BZRAP1-AS1 was significantly associated with the prognosis of NSCLC patients. Overexpression of BZRAP1-AS1 inhibited proliferation and migration of H1299 and HCC827 cells. Conclusion BZRAP1-AS1 expression decreases in tumor tissues with the increase of malignancy grades in NSCLC. BZRAP1-AS1 plays an anticancer role by inhibiting cell proliferation, invasion, and metastasis, and has a potential prognostic value in NSCLC. BZRAP1-AS1 may serve as a diagnostic marker and therapeutic target for NSCLC.
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Affiliation(s)
- Xuefeng Hao
- Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Minghang Zhang
- Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Meng Gu
- Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Ziyu Wang
- Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Shijie Zhou
- Department of Thoracic Surgery, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Weiying Li
- Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
| | - Shaofa Xu
- Department of Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China
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Ashrafizadeh M, Rabiee N, Kumar AP, Sethi G, Zarrabi A, Wang Y. Long noncoding RNAs (lncRNAs) in pancreatic cancer progression. Drug Discov Today 2022; 27:2181-2198. [PMID: 35589014 DOI: 10.1016/j.drudis.2022.05.012] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 02/18/2022] [Accepted: 05/12/2022] [Indexed: 02/07/2023]
Abstract
Long noncoding RNAs (lncRNAs) are RNA molecules involved in gene regulation at transcriptional, post-transcriptional, and epigenetic levels. LncRNAs participate in regulating apoptosis and autophagy in pancreatic cancer (PCa) and can promote and/or decrease the proliferation rate of tumor cells. The metastasis of PCa cells is tightly regulated by lncRNAs and they can affect the mechanism of epithelial-mesenchymal transition (EMT) to modulate metastasis. The drug resistance of PCa cells, especially to gemcitabine, can be affected by lncRNAs. In addition, lncRNAs enriched in exosomes can be transferred among tumor cells to regulate their proliferation and metastasis. Antitumor compounds, such as curcumin and ginsenosides, can regulate lncRNA expression in PCa therapy. As we discuss here, the expression level of lncRNAs can be considered as both a diagnostic and prognostic tool in patients with PCa.
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Affiliation(s)
- Milad Ashrafizadeh
- Faculty of Engineering and Natural Sciences, Sabanci University, Orta Mahalle, Üniversite Caddesi No. 27, Orhanlı, Tuzla, 34956 Istanbul, Turkey.
| | - Navid Rabiee
- Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), 77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk 37673, South Korea; School of Engineering, Macquarie University, Sydney, NSW 2109, Australia
| | - Alan Prem Kumar
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 117599, Singapore; NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Gautam Sethi
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 117599, Singapore; NUS Centre for Cancer Research (N2CR), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Ali Zarrabi
- Department of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Sariyer 34396, Istanbul, Turkey.
| | - Yuzhuo Wang
- Department of Urological Sciences, Vancouver, BC V6H3Z6, Canada; Vancouver Prostate Centre, University of British Columbia, Vancouver, BC V6H3Z6, Canada.
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Cui Z, Mo J, Wang L, Wang R, Cheng F, Wang L, Yang X, Wang W. Integrated Bioinformatics Analysis of Serine Racemase as an Independent Prognostic Biomarker in Endometrial Cancer. Front Genet 2022; 13:906291. [PMID: 35923695 PMCID: PMC9340001 DOI: 10.3389/fgene.2022.906291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/22/2022] [Indexed: 11/13/2022] Open
Abstract
Endometrial cancer (EC) kills about 76,000 women worldwide, with the highest incidence in industrialized countries. Because of the rise in disease mortality and new diagnoses, EC is now a top priority for women’s health. Serine racemase (SRR) is thought to play a role in the central nervous system, but its role in cancers, particularly in EC, is largely unknown. The current study starts with a pan-cancer examination of SRR’s expression and prognostic value before delving into SRR’s potential cancer-suppressing effect in patients with EC. SRR may affect the endometrial tumor immune microenvironment, according to subsequent immune-related analysis. SRR expression is also linked to several genes involved in specific pathways such as ferroptosis, N6-methyladenosine methylation, and DNA damage repair. Finally, we used the expression, correlation, and survival analyses to investigate the upstream potential regulatory non-coding RNAs of SRR. Overall, our findings highlight the prognostic significance of SRR in patients with EC, and we can formulate a reasonable hypothesis that SRR influences metabolism and obstructs key carcinogenic processes in EC.
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Affiliation(s)
- Zhiwei Cui
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Jiantao Mo
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Lijun Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Rongli Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Feiyan Cheng
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Lihui Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Xinyuan Yang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Xinyuan Yang, ; Wei Wang,
| | - Wei Wang
- Department of Anesthesiology, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Xinyuan Yang, ; Wei Wang,
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Li S, Wang Y, Wen C, Zhu M, Wang M, Cao G. Integrative Analysis of 5-Hydroxymethylcytosine and Transcriptional Profiling Identified 5hmC-Modified lncRNA Panel as Non-Invasive Biomarkers for Diagnosis and Prognosis of Pancreatic Cancer. Front Cell Dev Biol 2022; 10:845641. [PMID: 35399499 PMCID: PMC8990848 DOI: 10.3389/fcell.2022.845641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Accepted: 02/07/2022] [Indexed: 11/29/2022] Open
Abstract
Pancreatic adenocarcinoma (PAAD) is the fourth leading cause of cancer-related deaths worldwide. 5-Hydroxymethylcytosine (5hmC)-mediated epigenetic regulation has been reported to be involved in cancer pathobiology and has emerged to be promising biomarkers for cancer diagnosis and prognosis. However, 5hmC alterations at long non-coding RNA (lncRNA) genes and their clinical significance remained unknown. In this study, we performed the genome-wide investigation of lncRNA-associated plasma cfDNA 5hmC changes in PAAD by plotting 5hmC reads against lncRNA genes, and identified six PAAD-specific lncRNAs with abnormal 5hmC modifications compared with healthy individuals. Then we applied machine-learning and Cox regression approaches to develop predictive diagnostic (5hLRS) and prognostic (5hLPS) models using the 5hmC-modified lncRNAs. The 5hLRS demonstrated excellent performance in discriminating PAAD from healthy controls with an area under the curve (AUC) of 0.833 in the training cohort and 0.719 in the independent testing cohort. The 5hLPS also effectively divides PAAD patients into high-risk and low-risk groups with significantly different clinical outcomes in the training cohort (log-rank test p = 0.04) and independent testing cohort (log-rank test p = 0.0035). Functional analysis based on competitive endogenous RNA (ceRNA) and enrichment analysis suggested that these differentially regulated 5hmC modified lncRNAs were associated with angiogenesis, circulatory system process, leukocyte differentiation and metal ion homeostasis that are known important events in the development and progression of PAAD. In conclusion, our study indicated the potential clinical utility of 5hmC profiles at lncRNA loci as valuable biomarkers for non-invasive diagnosis and prognostication of cancers.
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Affiliation(s)
- Shuangquan Li
- The First School of Medicine, School of Information and Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yiran Wang
- The First School of Medicine, School of Information and Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Caiyun Wen
- The First School of Medicine, School of Information and Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Mingxi Zhu
- Department of Anatomy, School of Basic Medicine and Life Science, Hainan Medical University, Haikou, China
- *Correspondence: Mingxi Zhu, ; Meihao Wang, ; Guoquan Cao,
| | - Meihao Wang
- The First School of Medicine, School of Information and Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- *Correspondence: Mingxi Zhu, ; Meihao Wang, ; Guoquan Cao,
| | - Guoquan Cao
- The First School of Medicine, School of Information and Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- *Correspondence: Mingxi Zhu, ; Meihao Wang, ; Guoquan Cao,
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Han R, Tian Z, Jiang Y, Guan G, Sun X, Yu Y, Zhang L, Zhou J, Jing X. Prognostic significance of systemic immune-inflammation index and platelet-albumin-bilirubin grade in patients with pancreatic cancer undergoing radical surgery. Gland Surg 2022; 11:576-587. [PMID: 35402206 PMCID: PMC8984986 DOI: 10.21037/gs-22-117] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 03/14/2022] [Indexed: 09/10/2023]
Abstract
BACKGROUND Systemic inflammatory markers are associated with patient survival in pancreatic cancer (PC). The aim of this study was to investigate the prognostic significance of the systemic immune-inflammation index (SII) in PC patients who underwent radical surgery. Platelet-albumin-bilirubin (PALBI) grade is a composite evaluation index based on liver function. Patients with pancreatic head cancer are prone to obstructive jaundice, which leads to abnormal liver function. Based on this, we also explored the prognostic value of PALBI grade in PC patients. METHODS Patients with pathologically confirmed PC who had undergone radical surgery (with negative surgical margin) for the first time at the Affiliated Hospital of Qingdao University from January 2013 to December 2019 and followed up by December 2020 were retrospectively analyzed. Peripheral blood cell count is easily affected by infection or hematological diseases, which affects the results, so it is excluded. Clinical data and laboratory examination indexes were collected. The SII and PALBI grade were calculated. The cutoff values were determined using the Youden index. The Cox proportional hazards regression model was used to analyze the prognostic value of the SII and PALBI grade through univariate and multivariate survival analysis. RESULTS A total of 214 patients [median age, 60.29 years; 128 (59.8%) men] met the inclusion criteria. There were 140 patients (65.4%) with pancreatic head cancer according to the tumor location. They were divided into high and low SII or PALBI groups by cutoff values of 705 and -5.6, respectively. According to the multivariate analysis, SII (P<0.001) was an independent factor negatively associated with overall survival (OS) and disease-free survival (DFS). In patients with pancreatic head cancer, PALBI grade was associated with shorter OS (P=0.031). The combination of high SII and high PALBI grade had stronger predictive value for poor prognosis (log-rank test, P<0.001), which the OS was 11.3 months less than the combination of low two groups. CONCLUSIONS SII was a promising prognostic biomarker in PC. And PALBI grade also showed predictive value for patients with pancreatic head cancer. Therefore, it can help predict the treatment outcomes in these patients.
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Affiliation(s)
- Rongshuang Han
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Zibin Tian
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yueping Jiang
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ge Guan
- Department of Liver Disease Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xueguo Sun
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yanan Yu
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lingyun Zhang
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jianrui Zhou
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xue Jing
- Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China
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hong J, zhang L, peng H, Lihong J. Oncogenic role of HNRNPC in multiple cancer types, with a particular focus on LUAD, using a pan-cancer analysis and cell line experiments. J Environ Pathol Toxicol Oncol 2022; 41:77-93. [DOI: 10.1615/jenvironpatholtoxicoloncol.2022042822] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Wu C, Huang ZH, Meng ZQ, Fan XT, Lu S, Tan YY, You LM, Huang JQ, Stalin A, Ye PZ, Wu ZS, Zhang JY, Liu XK, Zhou W, Zhang XM, Wu JR. A network pharmacology approach to reveal the pharmacological targets and biological mechanism of compound kushen injection for treating pancreatic cancer based on WGCNA and in vitro experiment validation. Chin Med 2021; 16:121. [PMID: 34809653 PMCID: PMC8607619 DOI: 10.1186/s13020-021-00534-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 11/09/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Compound kushen injection (CKI), a Chinese patent drug, is widely used in the treatment of various cancers, especially neoplasms of the digestive system. However, the underlying mechanism of CKI in pancreatic cancer (PC) treatment has not been totally elucidated. METHODS Here, to overcome the limitation of conventional network pharmacology methods with a weak combination with clinical information, this study proposes a network pharmacology approach of integrated bioinformatics that applies a weighted gene co-expression network analysis (WGCNA) to conventional network pharmacology, and then integrates molecular docking technology and biological experiments to verify the results of this network pharmacology analysis. RESULTS The WGCNA analysis revealed 2 gene modules closely associated with classification, staging and survival status of PC. Further CytoHubba analysis revealed 10 hub genes (NCAPG, BUB1, CDK1, TPX2, DLGAP5, INAVA, MST1R, TMPRSS4, TMEM92 and SFN) associated with the development of PC, and survival analysis found 5 genes (TSPOAP1, ADGRG6, GPR87, FAM111B and MMP28) associated with the prognosis and survival of PC. By integrating these results into the conventional network pharmacology study of CKI treating PC, we found that the mechanism of CKI for PC treatment was related to cell cycle, JAK-STAT, ErbB, PI3K-Akt and mTOR signalling pathways. Finally, we found that CDK1, JAK1, EGFR, MAPK1 and MAPK3 served as core genes regulated by CKI in PC treatment, and were further verified by molecular docking, cell proliferation assay, RT-qPCR and western blot analysis. CONCLUSIONS Overall, this study suggests that the optimized network pharmacology approach is suitable to explore the molecular mechanism of CKI in the treatment of PC, which provides a reference for further investigating biomarkers for diagnosis and prognosis of PC and even the clinical rational application of CKI.
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Affiliation(s)
- Chao Wu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Zhi-Hong Huang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Zi-Qi Meng
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Xiao-Tian Fan
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Shan Lu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Ying-Ying Tan
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Lei-Ming You
- School of Life Science, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Jia-Qi Huang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Antony Stalin
- State Key Laboratory of Subtropical Silviculture, Department of Traditional Chinese Medicine, Zhejiang A&F University, Hangzhou, 311300, China
| | - Pei-Zhi Ye
- National Cancer Center/National Clinical Research Center for Cancer/Chinese Medicine Department of the Caner Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhi-Shan Wu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Jing-Yuan Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Xin-Kui Liu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Wei Zhou
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
- China-Japan Friendship Hospital, Beijing, 100029, China
| | - Xiao-Meng Zhang
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China
| | - Jia-Rui Wu
- School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, 102488, China.
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