1
|
Jiang A, Li J, He Z, Liu Y, Qiao K, Fang Y, Qu L, Luo P, Lin A, Wang L. Renal cancer: signaling pathways and advances in targeted therapies. MedComm (Beijing) 2024; 5:e676. [PMID: 39092291 PMCID: PMC11292401 DOI: 10.1002/mco2.676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 07/09/2024] [Accepted: 07/15/2024] [Indexed: 08/04/2024] Open
Abstract
Renal cancer is a highlyheterogeneous malignancy characterized by rising global incidence and mortalityrates. The complex interplay and dysregulation of multiple signaling pathways,including von Hippel-Lindau (VHL)/hypoxia-inducible factor (HIF), phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR), Hippo-yes-associated protein (YAP), Wnt/ß-catenin, cyclic adenosine monophosphate (cAMP), and hepatocyte growth factor (HGF)/c-Met, contribute to theinitiation and progression of renal cancer. Although surgical resection is thestandard treatment for localized renal cancer, recurrence and metastasiscontinue to pose significant challenges. Advanced renal cancer is associatedwith a poor prognosis, and current therapies, such as targeted agents andimmunotherapies, have limitations. This review presents a comprehensiveoverview of the molecular mechanisms underlying aberrant signaling pathways inrenal cancer, emphasizing their intricate crosstalk and synergisticinteractions. We discuss recent advancements in targeted therapies, includingtyrosine kinase inhibitors, and immunotherapies, such as checkpoint inhibitors.Moreover, we underscore the importance of multiomics approaches and networkanalysis in elucidating the complex regulatory networks governing renal cancerpathogenesis. By integrating cutting-edge research and clinical insights, this review contributesto the development of innovative diagnostic and therapeutic strategies, whichhave the potential to improve risk stratification, precision medicine, andultimately, patient outcomes in renal cancer.
Collapse
Affiliation(s)
- Aimin Jiang
- Department of UrologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Jinxin Li
- Department of UrologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Ziwei He
- Department of UrologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Ying Liu
- Department of UrologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Kun Qiao
- Department of UrologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Yu Fang
- Department of UrologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Le Qu
- Department of UrologyJinling HospitalAffiliated Hospital of Medical SchoolNanjing UniversityNanjingChina
| | - Peng Luo
- Department of OncologyZhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Anqi Lin
- Department of OncologyZhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Linhui Wang
- Department of UrologyChanghai HospitalNaval Medical UniversityShanghaiChina
| |
Collapse
|
2
|
Xu H, Xing Z, Wang J, Lv Z, Deng P, Hong Y, Li Y. Development and External Validation of Nomograms for Predicting Disease-Free Survival and Overall Survival in Patients with cT1-ccRCC After Partial Nephrectomy: A Multicenter Retrospective Study. Ann Surg Oncol 2024:10.1245/s10434-024-15718-7. [PMID: 38971957 DOI: 10.1245/s10434-024-15718-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Accepted: 06/19/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND To develop a novel nomogram for predicting 2-year and 5-year disease-free survival (DFS) and overall survival (OS) in patients with cT1-clear cell renal cell carcinoma (ccRCC) undergoing partial nephrectomy (PN). METHODS A retrospective study was conducted across five urological centers, including 940 patients who underwent PN for cT1N0M0-ccRCC. Four centers were randomly selected to constitute the training group, while the remaining center served as the testing group. We employed the LASSO and multivariate Cox regression to develop new nomograms. The 1,000 bootstrap-corrected c-index, net reclassification improvement (NRI) and receiver operating characteristic curve were employed to compare the predictive abilities of new nomograms with the widely used UUIS and SSIGN models. Finally, the novel nomograms underwent external validation. RESULTS The training group included 714 patients, while the testing group consisted of 226 patients. The bootstrap-corrected c-indexes for the DFS and OS model were 0.870 and 0.902, respectively. In the training cohort, the AUC for the DFS and OS models at 2 years and 5 years were 0.953, 0.902, 0.988, and 0.911, respectively. These values were also assessed in the testing cohort. The predictive capabilities of the new nomograms surpassed those of the UUIS and SSIGN models (NRI > 0). Decision curve analysis demonstrated that the novel nomograms provide greater net benefits compared to the UUIS and SSIGN models. CONCLUSIONS Our novel nomograms demonstrated strong predictive ability for forecasting oncological outcomes in cT1-ccRCC patients after PN. These user-friendly nomograms are simple and convenient for clinical application, providing tangible clinical benefits.
Collapse
Affiliation(s)
- Haozhe Xu
- Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhuo Xing
- Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Jie Wang
- Department of Oncology, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Zhengtong Lv
- Department of Urology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Piye Deng
- Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yulong Hong
- Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yuan Li
- Department of Urology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
| |
Collapse
|
3
|
Yang Q, Ye F, Li L, Chu J, Tian Y, Cao J, Gan S, Jiang A. Integration analysis of PLAUR as a sunitinib resistance and macrophage related biomarker in ccRCC, an in silicon and experimental study. J Biomol Struct Dyn 2024:1-18. [PMID: 38173169 DOI: 10.1080/07391102.2023.2300754] [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: 09/08/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
Sunitinib remains the preferred systemic treatment option for specific patients with advanced RCC who are ineligible for immune therapy. However, it's essential to recognize that Sunitinib fails to elicit a favourable response in all patients. Moreover, most patients eventually develop resistance to Sunitinib. Therefore, identifying new targets associated with Sunitinib resistance is crucial. Utilizing multiple datasets from public cohorts, we conducted an exhaustive analysis and identified a total of 8 microRNAs and 112 mRNAs displaying significant expression differences between Sunitinib responsive and resistant groups. A particular set of six genes, specifically NIPSNAP1, STK40, SDC4, NEU1, TBC1D9, and PLAUR, were identified as highly significant via WGCNA. To delve deeper into the resistance mechanisms, we performed additional investigations using cell, molecular, and flow cytometry tests. These studies confirmed PLAUR's pivotal role in fostering Sunitinib resistance, both in vitro and in vivo. Our findings suggest that PLAUR could be a promising therapeutic target across various cancer types. In conclusion, this investigation not only uncovers vital genes and microRNAs associated with Sunitinib resistance in RCC but also introduces PLAUR as a prospective therapeutic target for diverse cancers. The outcomes contribute to advancing personalized healthcare and developing superior therapeutic strategies.Communicated by Ramaswamy H. Sarma.
Collapse
Affiliation(s)
- Qiwei Yang
- Department of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
| | - Fangdie Ye
- Fudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Lin Li
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
| | - Jian Chu
- Department of Urology, The Luodian Hospital in Baoshan District of Shanghai, China
| | - Yijun Tian
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
- Department of Urology, The Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianwei Cao
- Department of Urology, The Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sishun Gan
- Department of Urology, The Third Affiliated Hospital of Naval Military Medical University (Eastern Hepatobiliary Surgery Hospital), Shanghai, China
- Department of Urology, The Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Aimin Jiang
- Department of Urology, Changhai Hospital of Naval Military Medical University, Shanghai, China
| |
Collapse
|
4
|
Zhu B, Yang Y, Huangfu Z, Zhang W, Jiang A, Wang L. Construction of the prognostic model in non-metastatic renal cancer patients with venous tumor thrombus. Transl Androl Urol 2023; 12:1645-1657. [PMID: 38106682 PMCID: PMC10719766 DOI: 10.21037/tau-23-341] [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: 06/13/2023] [Accepted: 10/20/2023] [Indexed: 12/19/2023] Open
Abstract
Background Venous system invasion is a prominent characteristic of local progression in renal cancer and treatment-naïve renal cancer patients with venous tumor thrombus (VTT) gained short natural course and poor prognosis. This study aimed to investigate the efficacy of the surgery and prognostic factors in non-metastatic renal cancer patients with VTT and to construct a nomogram prognostic model. Methods Clinical data of 114 non-metastatic renal cancer patients with VTT who underwent surgical treatment from January 2011 to September 2022 were retrospectively analyzed. In order to find independent risk factors of prognosis, survival analysis was performed via univariate and multivariate Cox regression models and Kaplan-Meier method. Nomogram prognostic model was established to calculate patients' risk scores. Receiver operating characteristic curve and decision curve analysis were conducted to evaluate the efficacy of the prognostic model. Results A total of 114 patients were included in this study and there were 48, 12, 25, 23, and 6 cases of grade 0-IV VTT. No perioperative death occurred. The 3-year probabilities of overall survival (OS) and 5-year probabilities of OS were 67% and 43.8%, respectively. Multivariate Cox regression analysis revealed that kidney tumor diameter, preoperative lactate dehydrogenase (LDH), and preoperative neutrophils were independent risk factors. Nomogram was constructed to predict prognosis in renal cancer patients with VTT based on above indicators and Mayo VTT grading. The area under the ROC curve of 1-, 2-, 3-, and 5-year OS of the patients were 0.82, 0.67, 0.57, and 0.55 respectively. Conclusions Surgical treatment enables renal cancer patients with VTT to gain a better prognosis. Kidney tumor diameter, preoperative LDH, and preoperative neutrophils were independent risk factors. The nomogram perfects the Mayo grading, and provides a reliable reference for evaluation of prognosis of renal cancer patients with VTT.
Collapse
Affiliation(s)
- Baohua Zhu
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Yiren Yang
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Zhao Huangfu
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Wei Zhang
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Aimin Jiang
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Linhui Wang
- Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China
| |
Collapse
|