A. Kutikov, R. Uzzo, and R. E. The, The R.E.N.A.L. Nephrometry Score: A Comprehensive Standardized System for Quantitating Renal Tumor Size, Location and Depth, The Journal of Urology, vol.182, issue.3, 2009.
DOI : 10.1016/j.juro.2009.05.035

V. Ficarra, G. Novara, S. Secco, V. Macchi, A. Porzionato et al., Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) Classification of Renal Tumours in Patients who are Candidates for Nephron-Sparing Surgery, European Urology, vol.56, issue.5, 2009.
DOI : 10.1016/j.eururo.2009.07.040

M. Simmons, C. Ching, M. Samplaski, C. Park, and I. Gill, Kidney Tumor Location Measurement Using the C Index Method, The Journal of Urology, vol.183, issue.5, pp.1708-1721, 2010.
DOI : 10.1016/j.juro.2010.01.005

W. Hou, W. Yan, and J. Z. , Anatomic Features Involved in Technical Complexity of Partial Nephrectomy, Urology, vol.85, issue.1, pp.1-7
DOI : 10.1016/j.urology.2014.10.009

A. Davidiuk, A. Parker, C. Thomas, B. Leibovich, E. Castle et al., Mayo Adhesive Probability Score: An Accurate Image-based Scoring System to Predict Adherent Perinephric Fat in Partial Nephrectomy, European Urology, vol.66, issue.6, pp.1165-71, 2014.
DOI : 10.1016/j.eururo.2014.08.054

D. Dindo, N. Demartines, and P. Clavien, Classification of Surgical Complications, Annals of Surgery, vol.240, issue.2, pp.205-218, 2004.
DOI : 10.1097/01.sla.0000133083.54934.ae

K. Alberti and P. Zimmet, Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus. Provisional report of a WHO Consultation, Diabetic Medicine, vol.15, issue.7, pp.539-53, 1998.
DOI : 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S

S. Maclennan, M. Imamura, M. Lapitan, M. Omar, T. Lam et al., Systematic Review of Oncological Outcomes Following Surgical Management of Localised Renal Cancer, European Urology, vol.61, issue.5, pp.972-93
DOI : 10.1016/j.eururo.2012.02.039

M. Simmons, Morphometric characterization of kidney tumors, Current Opinion in Urology, vol.21, issue.2, pp.99-103, 2011.
DOI : 10.1097/MOU.0b013e32834208d6

Z. Zhang, Q. Tang, X. Li, Q. Zhang, W. Mayer et al., Clinical analysis of the PADUA and the RENAL scoring systems for renal neoplasms: A retrospective study of 245 patients undergoing laparoscopic partial nephrectomy, International Journal of Urology, vol.25, issue.Suppl 3, 2014.
DOI : 10.1089/end.2011.0217

J. Long, V. Arnoux, G. Fiard, R. Autorino, J. Descotes et al., External validation of the RENAL nephrometry score in renal tumours treated by partial nephrectomy, BJU International, vol.178, issue.2, pp.233-242, 2013.
DOI : 10.1016/j.juro.2007.03.038

URL : https://hal.archives-ouvertes.fr/hal-01006365

M. Gorin, M. Ball, P. Pierorazio, Y. Tanagho, S. Bhayani et al., Outcomes and Predictors of Clinical T1 to Pathological T3a Tumor Up-Staging after Robotic Partial Nephrectomy: A Multi-Institutional Analysis, The Journal of Urology, vol.190, issue.5, 2013.
DOI : 10.1016/j.juro.2013.06.014

Y. Zheng, P. Espiritu, T. Hakky, K. Jutras, and P. Spiess, Predicting ease of perinephric fat dissection at time of open partial nephrectomy using preoperative fat density characteristics, BJU International, vol.94, issue.6, pp.872-80, 2014.
DOI : 10.1210/jc.2009-1030

L. Macleod, R. Hsi, J. Gore, J. Wright, and J. Harper, Perinephric Fat Thickness Is an Independent Predictor of Operative Complexity During Robot-Assisted Partial Nephrectomy, Journal of Endourology, vol.28, issue.5, pp.587-91
DOI : 10.1089/end.2013.0647

J. Bylund, H. Qiong, P. Crispen, R. Venkatesh, and S. Strup, Association of Clinical and Radiographic Features with Perinephric ???Sticky??? Fat, Journal of Endourology, vol.27, issue.3, pp.370-373, 2013.
DOI : 10.1089/end.2012.0205

D. Thiel, A. Davidiuk, C. Meschia, D. Serie, K. Custer et al., MP64-14 MAYO ADHESIVE PROBABILITY (MAP) SCORE IS ASSOCIATED WITH LOCALIZED RENAL CELL CARCINOMA PROGRESSION FREE SURVIVAL, The Journal of Urology, vol.195, issue.4, 2015.
DOI : 10.1016/j.juro.2016.02.964

J. Ferlay, E. Steliarova-foucher, J. Lortet-tieulent, S. Rosso, J. Coebergh et al., Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012, Eur J Cancer. 2013, vol.49, issue.6, pp.1374-403

F. Levi, J. Ferlay, C. Galeone, F. Lucchini, E. Negri et al., The changing pattern of kidney cancer incidence and mortality in Europe, BJU International, vol.353, issue.8, pp.949-58, 2008.
DOI : 10.1111/j.1464-410X.2008.07451.x

G. Kovacs, M. Akhtar, B. Beckwith, P. Bugert, C. Cooper et al., The Heidelberg classification of renal cell tumours, The Journal of Pathology, vol.10, issue.2, pp.131-134, 1997.
DOI : 10.1016/S0344-0338(86)80001-2

J. Srigley, B. Delahunt, J. Eble, L. Egevad, J. Epstein et al., The International Society of Urological Pathology (ISUP) Vancouver Classification of Renal Neoplasia, The American Journal of Surgical Pathology, vol.37, issue.10, pp.1469-89, 2013.
DOI : 10.1097/PAS.0b013e318299f2d1

T. Pischon, P. Lahmann, H. Boeing, A. Tjønneland, J. Halkjaer et al., Body size and risk of renal cell carcinoma in the European Prospective Investigation into Cancer and Nutrition (EPIC), International Journal of Cancer, vol.33, issue.6869, pp.728-766, 2006.
DOI : 10.1093/ije/dyh020

I. Gill, M. Aron, D. Gervais, and M. Jewett, Clinical practice. Small renal mass, N Engl J Med Feb, vol.18362, issue.7, pp.624-658, 2010.
URL : https://hal.archives-ouvertes.fr/inserm-00322220

J. Patard, E. Leray, A. Rodriguez, N. Rioux-leclercq, F. Guillé et al., Correlation between Symptom Graduation, Tumor Characteristics and Survival in Renal Cell Carcinoma, European Urology, vol.44, issue.2
DOI : 10.1016/S0302-2838(03)00216-1

D. Lim and M. Carter, Computerized Tomography in the Preoperative Staging for Pulmonary Metastases in Patients with Renal Cell Carcinoma, The Journal of Urology, vol.150, issue.4, 1993.
DOI : 10.1016/S0022-5347(17)35700-2

G. Israel and M. Bosniak, How I do it: evaluating renal masses. Radiology, 2005.

K. Warren and J. Mcfarlane, The Bosniak classification of renal cystic masses, BJU International, vol.52, issue.7, pp.939-981, 2005.
DOI : 10.1046/j.1464-410x.2000.00882.x

S. Kim, A. Alt, C. Weight, B. Costello, J. Cheville et al., Independent Validation of the 2010 American Joint Committee on Cancer TNM Classification for Renal Cell Carcinoma: Results From a Large, Single Institution Cohort, The Journal of Urology, vol.185, issue.6, 2011.
DOI : 10.1016/j.juro.2011.02.059

D. Heng, W. Xie, M. Regan, L. Harshman, G. Bjarnason et al., External validation and comparison with other models of the International Metastatic Renal-Cell Carcinoma Database Consortium prognostic model: a population-based study, The Lancet Oncology, vol.14, issue.2, pp.141-149, 2013.
DOI : 10.1016/S1470-2045(12)70559-4

R. Motzer, J. Bacik, L. Schwartz, V. Reuter, P. Russo et al., Prognostic Factors for Survival in Previously Treated Patients With Metastatic Renal Cell Carcinoma, Journal of Clinical Oncology, vol.22, issue.3, pp.454-63, 2004.
DOI : 10.1200/JCO.2004.06.132

I. Frank, M. Blute, J. Cheville, C. Lohse, A. Weaver et al., An Outcome Prediction Model for Patients with Clear Cell Renal Cell Carcinoma Treated with Radical Nephrectomy Based on Tumor Stage, Size, Grade and Necrosis: The Ssign Score, The Journal of Urology, vol.168, issue.6, pp.2395-400, 2002.
DOI : 10.1016/S0022-5347(05)64153-5

J. Patard, H. Kim, J. Lam, F. Dorey, A. Pantuck et al., Use of the University of California Los Angeles Integrated Staging System to Predict Survival in Renal Cell Carcinoma: An International Multicenter Study, Journal of Clinical Oncology, vol.22, issue.16, pp.3316-3338, 2004.
DOI : 10.1200/JCO.2004.09.104

S. Campbell, A. Novick, A. Belldegrun, M. Blute, G. Chow et al., Guideline for Management of the Clinical T1 Renal Mass, The Journal of Urology, vol.182, issue.4, pp.1271-1280, 2009.
DOI : 10.1016/j.juro.2009.07.004

H. Tan, E. Norton, Z. Ye, K. Hafez, J. Gore et al., Long-term survival following partial vs radical nephrectomy among older patients with early-stage kidney cancer, JAMA, vol.307, issue.15, pp.1629-1664, 2012.

B. Shuch, J. Hanley, J. Lai, S. Vourganti, S. Kim et al., Overall survival advantage with partial nephrectomy: a bias of observational data? Cancer, pp.2981-2990, 2013.

H. Van-poppel, D. Pozzo, L. Albrecht, W. Matveev, V. Bono et al., A Prospective, Randomised EORTC Intergroup Phase 3 Study Comparing the Oncologic Outcome of Elective Nephron-Sparing Surgery and Radical Nephrectomy for Low-Stage Renal Cell Carcinoma, European Urology, vol.59, issue.4, pp.543-52, 2011.
DOI : 10.1016/j.eururo.2010.12.013

I. Gill, L. Kavoussi, B. Lane, M. Blute, D. Babineau et al., Comparison of 1,800 Laparoscopic and Open Partial Nephrectomies for Single Renal Tumors, The Journal of Urology, vol.178, issue.1, pp.41-47, 2007.
DOI : 10.1016/j.juro.2007.03.038

J. Simhan, M. Smaldone, K. Tsai, D. Canter, T. Li et al., Objective Measures of Renal Mass Anatomic Complexity Predict Rates of Major Complications Following Partial Nephrectomy, European Urology, vol.60, issue.4, pp.724-754, 2011.
DOI : 10.1016/j.eururo.2011.05.030

F. Altunrende, H. Laydner, A. Hernandez, R. Autorino, R. Khanna et al., Correlation of the RENAL nephrometry score with warm ischemia time after robotic partial nephrectomy, World Journal of Urology, vol.184, issue.5, pp.1165-1174, 2013.
DOI : 10.1016/j.juro.2010.08.031

S. Tyritzis, S. Papadoukakis, I. Katafigiotis, I. Adamakis, I. Anastasiou et al., Implementation and external validation of Preoperative Aspects and Dimensions Used for an Anatomical (PADUA) score for predicting complications in 74 consecutive partial nephrectomies, BJU International, vol.184, issue.12, pp.1813-1821
DOI : 10.1016/j.juro.2010.08.031

W. Kong, J. Zhang, B. Dong, Y. Chen, W. Xue et al., Application of a standardized anatomical classification in a Chinese partial nephrectomy series, International Journal of Urology, vol.123, issue.6, 2012.
DOI : 10.3810/pgm.2011.05.2282

M. Simmons, S. Hillyer, B. Lee, A. Fergany, J. Kaouk et al., Diameter-Axial-Polar Nephrometry: Integration and Optimization of R.E.N.A.L. and Centrality Index Scoring Systems, The Journal of Urology, vol.188, issue.2, pp.384-90, 2012.
DOI : 10.1016/j.juro.2012.03.123

Y. Naya, A. Kawauchi, M. Oishi, T. Ueda, A. Fujihara et al., Comparison of diameter-axial-polar nephrometry and RENAL nephrometry score for treatment decision-making in patients with small renal mass, International Journal of Clinical Oncology, vol.115, issue.2, 2015.
DOI : 10.1002/cncr.24035

H. Nisen, M. Ruutu, E. Glücker, H. Visapää, and K. Taari, Renal tumour invasion index as a novel anatomical classification predicting urological complications after partial nephrectomy, Scandinavian Journal of Urology, vol.21, issue.1, pp.41-51, 2014.
DOI : 10.1097/MOU.0b013e32834208d6

S. Leslie, I. Gill, A. De-castro-abreu, S. Rahmanuddin, K. Gill et al., Renal Tumor Contact Surface Area: A Novel Parameter for Predicting Complexity and Outcomes of Partial Nephrectomy, European Urology, vol.66, issue.5, pp.884-93, 2014.
DOI : 10.1016/j.eururo.2014.03.010

J. Tomaszewski, B. Cung, M. Smaldone, R. Mehrazin, A. Kutikov et al., Renal Pelvic Anatomy Is Associated with Incidence, Grade, and Need for Intervention for Urine Leak Following Partial Nephrectomy, European Urology, vol.66, issue.5, pp.949-55, 2014.
DOI : 10.1016/j.eururo.2013.10.009

T. Shin, C. Komninos, D. Kim, K. So, K. Bang et al., A Novel Mathematical Model to Predict the Severity of Postoperative Functional Reduction before Partial Nephrectomy: The Importance of Calculating Resected and Ischemic Volume, The Journal of Urology, vol.193, issue.2, pp.423-432, 2015.
DOI : 10.1016/j.juro.2014.07.084

M. Gorin, J. Mullins, P. Pierorazio, G. Jayram, and M. Allaf, Increased Intra-abdominal Fat Predicts Perioperative Complications Following Minimally Invasive Partial Nephrectomy, Urology, vol.81, issue.6, pp.1225-1255, 2013.
DOI : 10.1016/j.urology.2012.12.053

W. Isac, R. Autorino, S. Hillyer, A. Hernandez, R. Stein et al., The impact of body mass index on surgical outcomes of robotic partial nephrectomy, BJU International, vol.894, issue.11c, 2012.
DOI : 10.1016/j.urology.2006.09.029

H. Kiziloz, R. Dorin, K. Finnegan, S. Shichman, and A. Meraney, The Impact of Body Mass Index on Perioperative Outcomes in Robot-Assisted Laparoscopic Partial Nephrectomy, Journal of Endourology, vol.27, issue.8, pp.1000-1007, 2013.
DOI : 10.1089/end.2012.0665

E. Gong, M. Orvieto, M. Lyon, A. Lucioni, G. Gerber et al., Analysis of Impact of Body Mass Index on Outcomes of Laparoscopic Renal Surgery, Urology, vol.69, issue.1, 2007.
DOI : 10.1016/j.urology.2006.09.020

Z. Khene, B. Peyronnet, R. Mathieu, T. Fardoun, G. Verhoest et al., Analysis of the impact of adherent perirenal fat on peri-operative outcomes of robotic partial nephrectomy, World Journal of Urology, vol.114, issue.6, pp.1801-1807, 2015.
DOI : 10.1111/bju.12579

E. Ioffe, A. Hakimi, S. Oh, I. Agalliu, N. Ginzburg et al., Effect of Visceral Obesity on Minimally Invasive Partial Nephrectomy, Urology, vol.82, issue.3, p.2013
DOI : 10.1016/j.urology.2013.04.058

K. Anderson, T. Lindler, G. Lamberton, P. Baron, O. Ojogho et al., Laparoscopic Donor Nephrectomy: Effect of Perirenal Fat upon Donor Operative Time, Journal of Endourology, vol.22, issue.10, pp.2269-74, 2008.
DOI : 10.1089/end.2008.9725

A. Davidiuk, A. Parker, C. Thomas, M. Heckman, K. Custer et al., Prospective Evaluation of the Association of Adherent Perinephric Fat With Perioperative Outcomes of Robotic-assisted Partial Nephrectomy, Urology, vol.85, issue.4, pp.836-878
DOI : 10.1016/j.urology.2014.12.017

P. Clavien, J. Sanabria, and S. Strasberg, Proposed classification of complications of surgery with examples of utility in cholecystectomy, Surgery, vol.111, issue.5, pp.518-544, 1992.

F. Bianco, P. Scardino, and J. Eastham, Radical prostatectomy: Long-term cancer control and recovery of sexual and urinary function (???trifecta???), Urology, vol.66, issue.5, 2005.
DOI : 10.1016/j.urology.2005.06.116

V. Patel, A. Sivaraman, R. Coelho, S. Chauhan, K. Palmer et al., Pentafecta: A New Concept for Reporting Outcomes of Robot-Assisted Laparoscopic Radical Prostatectomy, European Urology, vol.59, issue.5, pp.702-709, 2011.
DOI : 10.1016/j.eururo.2011.01.032

N. Buffi, G. Lista, A. Larcher, G. Lughezzani, V. Ficarra et al., Margin, Ischemia, and Complications (MIC) Score in Partial Nephrectomy: A New System for Evaluating Achievement of Optimal Outcomes in Nephron-sparing Surgery, European Urology, vol.62, issue.4, 2012.
DOI : 10.1016/j.eururo.2012.06.001

B. Eisner, J. Zargooshi, A. Berger, M. Cooperberg, S. Doyle et al., Gender differences in subcutaneous and perirenal fat distribution, Surgical and Radiologic Anatomy, vol.65, issue.10, 2010.
DOI : 10.1016/j.urology.2004.08.004

S. Kim, S. Choi, S. Lee, T. Choi, D. Lee et al., Predictive Value of Preoperative Unenhanced Computed Tomography During Ureteroscopic Lithotripsy: A Single Institute's Experience, Korean Journal of Urology, vol.54, issue.11, pp.772-779, 2013.
DOI : 10.4111/kju.2013.54.11.772

A. Divoux, J. Tordjman, D. Lacasa, N. Veyrie, D. Hugol et al., Fibrosis in Human Adipose Tissue: Composition, Distribution, and Link With Lipid Metabolism and Fat Mass Loss, Diabetes, vol.59, issue.11, pp.2817-2842, 2010.
DOI : 10.2337/db10-0585

Y. Liu, J. Aron-wisnewsky, G. Marcelin, L. Genser, L. Naour et al., Accumulation and Changes in Composition of Collagens in Subcutaneous Adipose Tissue After Bariatric Surgery, The Journal of Clinical Endocrinology & Metabolism, vol.101, issue.1, pp.293-304, 2016.
DOI : 10.1210/jc.2015-3348

URL : https://hal.archives-ouvertes.fr/hal-01346558

L. Junqueira, G. Bignolas, and R. Brentani, Picrosirius staining plus polarization microscopy, a specific method for collagen detection in tissue sections, The Histochemical Journal, vol.9, issue.4, pp.447-55, 1979.
DOI : 10.1007/BF01002772

R. Cancello, J. Tordjman, C. Poitou, G. Guilhem, J. Bouillot et al., Increased Infiltration of Macrophages in Omental Adipose Tissue Is Associated With Marked Hepatic Lesions in Morbid Human Obesity, Diabetes, vol.55, issue.6, pp.1554-61, 2006.
DOI : 10.2337/db06-0133

R. Cancello, C. Henegar, N. Viguerie, S. Taleb, C. Poitou et al., Reduction of Macrophage Infiltration and Chemoattractant Gene Expression Changes in White Adipose Tissue of Morbidly Obese Subjects After Surgery-Induced Weight Loss, Diabetes, vol.54, issue.8, 2005.
DOI : 10.2337/diabetes.54.8.2277

Y. Park, J. Lee, K. Kim, H. Kook, H. Lee et al., Visceral Obesity in Predicting Oncologic Outcomes of Localized Renal Cell Carcinoma, The Journal of Urology, vol.192, issue.4, 2014.
DOI : 10.1016/j.juro.2014.03.107

Y. Zhu, H. Wang, H. Zhang, X. Yao, S. Zhang et al., Visceral obesity and risk of high grade disease in clinical t1a renal cell carcinoma, J Urol, 2013.

N. Kocher, S. Kunchala, C. Reynolds, E. Lehman, S. Nie et al., Adherent perinephric fat at minimally invasive partial nephrectomy is associated with adverse perioperative outcomes and malignant renal histology, BJU Int, 2015.

J. Raman, C. Reynolds, and M. Hannon, An increasing proportion of perinephric to subcutaneous fat is associated with adverse perioperative outcomes of robotic partial nephrectomy, Journal of Robotic Surgery, vol.240, issue.2, 2009.
DOI : 10.1097/01.sla.0000133083.54934.ae

H. Li, M. Li, P. Liu, Y. Wang, H. Zhang et al., Telmisartan Ameliorates Nephropathy in Metabolic Syndrome by Reducing Leptin Release From Perirenal Adipose TissueNovelty and Significance, Hypertension, vol.68, issue.2, pp.478-90, 2016.
DOI : 10.1161/HYPERTENSIONAHA.116.07008

N. Han, D. Sung, M. Kim, B. Park, K. Sim et al., Perirenal fat stranding on CT: is there an association with bladder outlet obstruction?, The British Journal of Radiology, vol.89, issue.1063, 2016.
DOI : 10.1259/bjr.20160195

B. Lane, S. Demirjian, I. Derweesh, T. Takagi, Z. Zhang et al., Survival and Functional Stability in Chronic Kidney Disease Due to Surgical Removal of Nephrons: Importance of the New Baseline Glomerular Filtration Rate, European Urology, vol.68, issue.6, 2015.
DOI : 10.1016/j.eururo.2015.04.043

P. Satasivam, F. Reeves, K. Rao, Z. Ivey, M. Basto et al., Patients with medical risk factors for chronic kidney disease are at increased risk of renal impairment despite the use of nephron-sparing surgery, BJU International, vol.72, issue.4, pp.590-595, 2015.
DOI : 10.1097/00007890-200108150-00015

T. Tchkonia, D. Morbeck, V. Zglinicki, T. Van-deursen, J. Lustgarten et al., Fat tissue, aging, and cellular senescence, Aging Cell, vol.23, issue.Suppl. 2, pp.667-84, 2010.
DOI : 10.1093/geronj/37.2.130

K. Morris, S. Tuorto, M. Gönen, L. Schwartz, R. Dematteo et al., Simple Measurement of Intra-abdominal Fat for Abdominal Surgery Outcome Prediction, Archives of Surgery, vol.145, issue.11, pp.1069-73, 2010.
DOI : 10.1001/archsurg.2010.222

M. Sun, A. Wagner, S. Francisco, I. Brook, A. Kavoussi et al., Need for Intraoperative Ultrasound and Surgical Recommendation for Partial Nephrectomy, Ultrasound Quarterly, vol.28, issue.1, pp.21-28, 2012.
DOI : 10.1097/RUQ.0b013e31824a45f6

G. Vitagliano, F. Lopez, J. Guglielmi, M. Mieggi, L. Blas et al., Synthetic Renal Capsule Tailoring: A Novel Renorrhaphy Technique After Subcapsular Dissection of Renal Tumors with Severe Adherent Perirenal Fat During Laparoscopic Partial Nephrectomy, Journal of Laparoendoscopic & Advanced Surgical Techniques, vol.27, issue.7, 2016.
DOI : 10.1089/lap.2016.0318

Y. Choi, B. Park, B. Jeong, S. Seo, S. Jeon et al., Body mass index and survival in patients with renal cell carcinoma: A clinical-based cohort and meta-analysis, International Journal of Cancer, vol.9, issue.59
DOI : 10.1054/jcaf.2003.4

N. Parekh, U. Chandran, and E. Bandera, Obesity in Cancer Survival, Annual Review of Nutrition, vol.32, issue.1, 2012.
DOI : 10.1146/annurev-nutr-071811-150713

M. Blute, K. Zorn, M. Grimes, F. Shi, T. Downs et al., Extreme Obesity Does Not Predict Poor Cancer Outcomes Following Surgery for Renal Cell Cancer, BJU Int, 2015.

W. Lee, S. Hong, S. Lee, C. Kwak, J. Oh et al., Prognostic Value of Body Mass Index According to Histologic Subtype in Nonmetastatic Renal Cell Carcinoma: A Large Cohort Analysis, Clinical Genitourinary Cancer, vol.13, issue.5, pp.461-469, 2015.
DOI : 10.1016/j.clgc.2015.04.012

L. Albiges, A. Hakimi, W. Xie, R. Mckay, R. Simantov et al., Body Mass Index and Metastatic Renal Cell Carcinoma: Clinical and Biological Correlations, Journal of Clinical Oncology, vol.34, issue.30, 2016.
DOI : 10.1200/JCO.2016.66.7311

A. Parker, C. Lohse, J. Cheville, D. Thiel, B. Leibovich et al., Greater body mass index is associated with better pathologic features and improved outcome among patients treated surgically for clear cell renal cell carcinoma, Urology, vol.68, issue.4, 2006.
DOI : 10.1016/j.urology.2006.05.024

A. Hakimi, H. Furberg, E. Zabor, A. Jacobsen, N. Schultz et al., An Epidemiologic and Genomic Investigation Into the Obesity Paradox in Renal Cell Carcinoma, JNCI: Journal of the National Cancer Institute, vol.105, issue.24, pp.1862-70, 2013.
DOI : 10.1093/jnci/djt310

S. Ladoire, F. Bonnetain, M. Gauthier, S. Zanetta, J. Petit et al., Visceral Fat Area as a New Independent Predictive Factor of Survival in Patients with Metastatic Renal Cell Carcinoma Treated with Antiangiogenic Agents, The Oncologist, vol.16, issue.1, pp.71-81, 2011.
DOI : 10.1634/theoncologist.2010-0227

I. Vucenik and J. Stains, Obesity and cancer risk: evidence, mechanisms, and recommendations, Annals of the New York Academy of Sciences, vol.17, issue.1, pp.37-43, 1271.
DOI : 10.1245/s10434-010-1023-2

X. Zi, A. Lusch, C. Blair, Z. Okhunov, N. Yokoyama et al., Effect of perineoplasm perinephric adipose tissues on migration of clear cell renal cell carcinoma cells: a potential role of WNT signaling, Oncotarget, vol.7, issue.33, 2016.
DOI : 10.18632/oncotarget.10467

E. Motrescu and M. Rio, Cancer cells, adipocytes and matrix metalloproteinase 11: a vicious tumor progression cycle, Biol Chem, vol.389, issue.8, pp.1037-1078, 2008.
URL : https://hal.archives-ouvertes.fr/inserm-00350823

L. Krabbe, M. Westerman, A. Bagrodia, B. Gayed, O. Darwish et al., Dysregulation of ??-Catenin is an Independent Predictor of Oncologic Outcomes in Patients with Clear Cell Renal Cell Carcinoma, The Journal of Urology, vol.191, issue.6, pp.1671-1678
DOI : 10.1016/j.juro.2013.11.052

M. Druce, N. Bharwani, S. Akker, W. Drake, A. Rockall et al., Intra-abdominal fibrosis in a recent cohort of patients with neuroendocrine ('carcinoid') tumours of the small bowel, QJM, vol.103, issue.3, pp.177-85, 2010.
DOI : 10.1093/qjmed/hcp191

S. Weisberg, D. Mccann, M. Desai, M. Rosenbaum, R. Leibel et al., Obesity is associated with macrophage accumulation in adipose tissue, Journal of Clinical Investigation, vol.112, issue.12, 2003.
DOI : 10.1172/JCI19246DS1

C. Tam, J. Tordjman, A. Divoux, L. Baur, and K. Clément, Adipose Tissue Remodeling in Children: The Link between Collagen Deposition and Age-Related Adipocyte Growth, The Journal of Clinical Endocrinology & Metabolism, vol.97, issue.4, pp.1320-1327
DOI : 10.1210/jc.2011-2806

M. Alligier, E. Meugnier, C. Debard, S. Lambert-porcheron, E. Chanseaume et al., Subcutaneous Adipose Tissue Remodeling during the Initial Phase of Weight Gain Induced by Overfeeding in Humans, The Journal of Clinical Endocrinology & Metabolism, vol.97, issue.2, pp.183-92, 2012.
DOI : 10.1210/jc.2011-2314

S. Choi, S. Chun, T. Kim, and T. Kwon, Identifying the emerging role of adipokine as a diagnostic and prognostic biomarker of renal cell carcinoma, Urologic Oncology: Seminars and Original Investigations, vol.34, issue.6, p.2016
DOI : 10.1016/j.urolonc.2016.01.007

H. Wang, J. Wu, W. Gu, B. Wang, F. Wan et al., Serum Adiponectin Level May be an Independent Predictor of Clear Cell Renal Cell Carcinoma, Journal of Cancer, vol.7, issue.10, pp.1340-1346, 2016.
DOI : 10.7150/jca.14716

G. Semenza, Hypoxia-inducible factor 1: oxygen homeostasis and disease pathophysiology, Trends in Molecular Medicine, vol.7, issue.8, pp.345-50, 2001.
DOI : 10.1016/S1471-4914(01)02090-1

A. Keehn, A. Srivastava, R. Maiman, J. Taylor, J. Divito et al., The Relationship Between Visceral Obesity and the Clinicopathologic Features of Patients with Small Renal Masses, Journal of Endourology, vol.29, issue.3, pp.372-378
DOI : 10.1089/end.2014.0512

A. Horiguchi, T. Asano, T. Asano, K. Ito, M. Sumitomo et al., Pharmacological inhibitor of fatty acid synthase suppresses growth and invasiveness of renal cancer cells