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Liu N, Jiang Y, Chen S, Pan F, Tang Y, Tan X. miRNA-27b-3p/TPX2 Axis Regulates Clear Cell Renal Cell Carcinoma Cell Proliferation, Invasion and Migration. Crit Rev Eukaryot Gene Expr 2024; 34:27-39. [PMID: 37824390 DOI: 10.1615/critreveukaryotgeneexpr.2023048827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
There is a wide variety of cancer cells that can be linked to the presence of TPX2. However, there is not a lot of evidence regarding its role in the development and maintenance of clear cell renal cell carcinoma (ccRCC). In our study, bioinformatics analysis was performed to obtain differentially expressed mRNAs and miR-NAs in ccRCC. Survival curves predicted correlation of TPX2 expression with patient survival. The upstream regulatory miRNA of TPX2 was predicted to be miRNA-27b-3p through database, and dual luciferase assay verified the targeted relationship. qRT-PCR and Western blot were employed for examination of TPX2 mRNA and protein expression in ccRCC cells. Proliferation, invasion, migration and cell cycle were detected by CCK-8, colony formation, wound healing, Transwell, and flow cytometry assays. The results showed that TPX2 showed very high expression in ccRCC, and patients with higher TPX2 expression had shorter relative survival. Low miRNA-27b-3p expression was found in ccRCC. Knockdown of TPX2 or forced expression of miRNA-27b-3p in ccRCC cells inhibited cell proliferation, migration, invasion, and arrested cell division in G0/G1 phase. Dual luciferase reporter presented that miRNA-27b-3p targeted TPX2 to inhibit its expression. Rescue experiments demonstrated that the miRNA-27b-3p/ TPX2 axis affected the biological functions of ccRCC cells. Concurrent overexpression of miRNA-27b-3p and TPX2 inhibited the facilitating effect of TPX2 on ccRCC cell growth. The results revealed novel regulatory mechanisms involved in ccRCC progression, hoping that it may spark an insight for later discovery about the new therapeutic targets for ccRCC.
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Affiliation(s)
- Nana Liu
- Oncology Department, People's Hospital of Chongqing Hechuan, Chongqing 401520, China
| | - Yicheng Jiang
- Oncology Department, People's Hospital of Chongqing Hechuan, Chongqing 401520, China
| | - Shiyuan Chen
- Oncology Department, People's Hospital of Chongqing Hechuan, Chongqing 401520, China
| | - Fang Pan
- Oncology Department, People's Hospital of Chongqing Hechuan, Chongqing 401520, China
| | - Yao Tang
- Oncology Department, People's Hospital of Chongqing Hechuan, Chongqing 401520, China
| | - Xingping Tan
- Oncology Department, People's Hospital of Chongqing Hechuan, Chongqing 401520, China
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Pahouja G, Sweigert SE, Sweigert PJ, Gorbonos A, Patel HD, Gupta GN. Does size matter? Comparing robotic versus open radical nephrectomy for very large renal masses. Urol Oncol 2022; 40:456.e1-456.e7. [PMID: 35667982 DOI: 10.1016/j.urolonc.2022.05.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/23/2022] [Accepted: 05/07/2022] [Indexed: 01/20/2023]
Abstract
INTRODUCTION We evaluated perioperative and mortality outcomes of robotic-assisted radical nephrectomy (RRN) vs. open radical nephrectomy (ORN) for very large renal cell carcinomas (RCC). MATERIALS AND METHODS Adult patients with non-metastatic RCC >10 cm in size (pT2b) were identified from the National Cancer Database (2010-2017). Mixed-effects multivariable logistic regression adjusting for patient, tumor, and facility characteristics were used to evaluate rates of positive margin, prolonged length of stay (LOS) (>75th percentile), 30-day readmission, and 30-day and 90-day mortality for RRN vs. ORN. Overall survival (OS) was evaluated using the Kaplan-Meier method and adjusted Cox proportional hazard modeling. RESULTS Of the 2,977 patients who underwent radical nephrectomy, 492 (16.5%) underwent RRN. Factors associated with RRN included male gender, metro or urban locations, academic facilities, Charlson-Deyo score >2, private or Medicaid insurance, and surgery in a later year (all P < 0.05). Tumors ≥15.1cm in size were associated with a higher rate of conversion to open surgery (P < 0.001). ORN was associated with increased median postoperative LOS (4d [interquartile range; IQR 3-6] vs. 3d, [IQR 2-4]; P < 0.01). RRN demonstrated no significant difference in the risk of positive margin, 30-day readmission, 30-day mortality, or 90-day mortality. RRN was associated with a decreased risk of prolonged LOS (OR 0.38; 95%CI [0.28-0.53]). There was no difference in long-term OS observed in patients treated with ORN vs. RRN. CONCLUSIONS Very large, non-metastatic RCC can be safely and effectively treated with RRN. Rates of conversion to open were higher for tumors ≥15.1 cm. RRN has comparable long-term OS and improved LOS compared to ORN.
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Affiliation(s)
- Gaurav Pahouja
- Department of Urology, Loyola University Medical Center, Maywood, IL.
| | - Sarah E Sweigert
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | | | - Alex Gorbonos
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Hiten D Patel
- Department of Urology, Loyola University Medical Center, Maywood, IL
| | - Gopal N Gupta
- Department of Urology, Loyola University Medical Center, Maywood, IL; Department of Surgery, Loyola University Medical Center, Maywood, IL; Department of Radiology, Loyola University Medical Center, Maywood, IL
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Grimaud LW, Chen FV, Chang J, Ziogas A, Sfakianos J, Badani KK, Uchio E, Anton-Culver H, Gin G. Comparison of Perioperative Outcomes for Radical Nephrectomy Based on Surgical Approach for Masses Greater than 10cm. J Endourol 2021; 35:1785-1792. [PMID: 34148404 DOI: 10.1089/end.2020.1164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Introduction and Objective Robotic-assisted radical nephrectomy (RRN) is increasingly utilized as an alternative to laparoscopic radical nephrectomy (LRN) but there are concerns over costs and objective benefit. In the setting of very large renal masses (>10 cm), comparison between techniques is limited and it is unclear whether a robotic approach confers any perioperative benefit over LRN or open radical nephrectomy (ORN). In this study, perioperative outcomes of RRN, LRN, and ORN for very large renal masses are compared. Methods Using the National Cancer Database, patients were identified who underwent radical nephrectomy for kidney tumors >10 cm diagnosed from 2010-2015. Patients were analyzed according to surgical approach. Perioperative outcomes, including conversion to open, length of stay, readmission rates, positive surgical margins, and 30 and 90-day mortality were compared among cohorts. Results A total of 9288 patients met inclusion criteria (RRN = 842, LRN = 2326, ORN = 6120). Compared to ORN, recipients of RRN or LRN had similar rates of 30-day readmission and 30- and 90-day mortality. Length of hospital stay was significantly shorter in RRN (-1.73 days ±0.19; p<0.0001) and LRN (-1.40 days ±0.12; p<0.0001) compared to ORN. LRN had a higher rate of conversion to open compared to RRN (OR 1.48; 95% CI 1.10-1.98; p=0.0087). Conversion to open from RRN or LRN added 1.3 additional days of inpatient stay. Over the study period, RRN use increased from 4.1% to 14.8%, LRN from 20.9% to 25.6%, while ORN use decreased from 75% to 59.6%. Conclusions Minimally invasive approaches are increasingly utilized in very large renal masses. RRN has lower rates of conversion to open but produces comparable perioperative outcomes to LRN. Minimally invasive approaches have a shorter length of inpatient stay but otherwise report similar surgical margin status, readmission rates, and mortality rates compared to open radical nephrectomy.
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Affiliation(s)
- Logan Wilson Grimaud
- University of California Irvine, 8788, Urology, 101 The City Drive South, Orange, California, United States, 92868;
| | - Felix V Chen
- University of California Irvine, 8788, Urology, Orange, California, United States;
| | - Jenny Chang
- University of California Irvine, 8788, Medicine, 301 Med Surge II, Irvine, California, United States, 92697;
| | - Argyrios Ziogas
- University of California Irvine School of Medicine, 12219, Medicine, Irvine, California, United States;
| | - John Sfakianos
- Icahn School of Medicine at Mount Sinai, 5925, Urology, New York, New York, United States;
| | - Ketan K Badani
- Icahn School of Medicine at Mount Sinai, Urology, New York, New York, United States;
| | - Edward Uchio
- UCI Health, 14447, Urology, 333 City Blvd. West, Suite 2100, Orange, California, United States, 92868-3201;
| | - Hoda Anton-Culver
- University of California Irvine School of Medicine, 12219, Medicine , Irvine, California, United States;
| | - Greg Gin
- UCI, 8788, 333 City Blvd. West, Suite 2100, Orange, California, United States, 92868.,VA Medical Center Long Beach, 19974, Long Beach, California, United States, 90822-5201;
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Rocco B, Sighinolfi MC, Menezes AD, Eissa A, Inzillo R, Sandri M, Puliatti S, Turri F, Ciarlariello S, Amato M, De Carne C, Sarchi L, Bozzini G, Bianchi G, Micali S. Three-dimensional virtual reconstruction with DocDo, a novel interactive tool to score renal mass complexity. BJU Int 2020; 125:761-762. [PMID: 32160392 DOI: 10.1111/bju.15049] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Affiliation(s)
- Bernardo Rocco
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | | | | | - Ahmed Eissa
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy.,Urology Department, Faculty of Medicine, Tanta University, Tanta, Egypt
| | - Raffaele Inzillo
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Sandri
- Data Methods and Systems Statistical Laboratory, University of Brescia, Brescia, Italy
| | - Stefano Puliatti
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | - Filippo Turri
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Marco Amato
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | - Cosimo De Carne
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | - Luca Sarchi
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | | | - Giampaolo Bianchi
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
| | - Salvatore Micali
- Urology Department, University of Modena and Reggio Emilia, Modena, Italy
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