Jean-Jacques Patard

Low CAIX expression and absence of VHL gene mutation are associated with tumor aggressiveness and poor survival of clear cell renal cell carcinoma

We attempted to describe, in a series of clear cell renal cell carcinoma (RCC), the relationship between CAIX expression, VHL gene mutations, tumor characteristics and outcome. Radical nephrectomy was performed in 100 patients. Genomic DNA was extracted from frozen tumor samples. Four amplimers covering the whole coding sequence of the VHL gene were synthesized by PCR and sequenced. The monoclonal antibody M75 was used to evaluate CAIX protein expression immunohistochemically. VHL mutations were identified in 58 patients (58%) and high CAIX expression (>85%) was observed in 78 (78%). Tumors with VHL mutation showed higher CAIX expression than those without (p = 0.02). Low CAIX expression and absence of VHL mutation were associated with a more advanced tumors e.g., higher T stages and presence of metastases. VHL mutation and high CAIX expression predicted longer progression‐free survival (p = 0.037) and disease‐specific survival (p = 0.001), respectively. In combination, they defined three prognostic groups (p = 0.002): (i) good prognosis, defined as VHL mutation and high CAIX (2‐year survival: 86%), (ii) intermediate prognosis with either VHL mutation or high CAIX (69%), and (iii) poor prognosis with no VHL mutation and low CAIX (45%, median survival 18 months). CAIX expression, but not VHL mutational status, was an independent prognostic factor in multivariate analysis. Taken together, CAIX expression and VHL mutational status are able to stratify patients with clear cell RCC into distinct groups with regards to clinicopathological variables and prognosis, with low CAIX expression and absence of VHL mutation being associated with a poor clinicopathological phenotype and diminished survival.

Value of immunohistochemical Ki-67 and p53 determinations as predictive factors of outcome in renal cell carcinoma☆

OBJECTIVESnNuclear grade and tumor stage are important prognostic factors in renal cell carcinoma, but tumors of similar stage and grade can exhibit a wide variation in biologic behavior and clinical outcome. In this retrospective study, we evaluated the immunologic markers, Ki-67 (MIB1) and p53, in 73 cases of conventional (clear cell) renal cell carcinoma and compared these markers with the accepted prognostic features of grade, stage, and tumor size in predicting outcome.nnnMETHODSnSpecimens of 73 renal cell carcinomas of different nuclear grade (20 Furhman I/II, 32 Fuhrman III, and 21 Fuhrman IV) and different stage (10 pT1, 23 pT2, 36 pT3, and 4 pT4) were immunostained with monoclonal antibodies against Ki-67 and p53.nnnRESULTSnUnivariate statistical analysis showed that tumor size (P <0. 001), nuclear grade (P <0.01), tumor stage (P <0.01), Ki-67 index (P <0.001), and p53 immunostaining (P <0.03) correlated significantly with a poor prognosis. A Ki-67 index of 20% was a powerful predictor of survival in all patients (P <0.00001), with strong predictive values. On multivariate analysis, the Ki-67 index and metastases were significant independent prognostic factors (P <0.02 and <0.01, respectively).nnnCONCLUSIONSnKi-67 immunostaining appeared to be an additional prognostic indicator of biologic aggressiveness in renal cell carcinoma. Immunohistochemical assessment of tumor antigens could be used to identify patients at high risk of tumor progression in addition to conventional prognostic factors.

Reassessing the current UICC/AJCC TNM staging for renal cell carcinoma

CONTEXTnThe outcome prediction for renal cell cancer (RCC) remains controversial, and although many parameters have been tested for prognostic significance, only a few have achieved widespread acceptance in clinical practice. The TNM staging system defines local extension of the primary tumour (T), involvement of regional lymph nodes (N), and presence of distant metastases (M).nnnOBJECTIVEnThis review focuses on reassessing the current TNM staging system for RCC.nnnEVIDENCE ACQUISITIONnA literature search in English was performed using the National Library of Medicine database and the following keywords: renal cell cancer, kidney neoplasm, and staging. We scrutinized 1952 references, and 62 were selected for review based on their pertinence, study size, and overall contribution to the field.nnnEVIDENCE SYNTHESISnThe prognostic significance of tumour size for localized RCC has been investigated in a large number of studies. As a consequence, many modifications of the TNM staging system were primarily made to the size cut points between stage I and II tumours. The latest three revisions of the TNM system are systematically reviewed. For the heterogeneous group of locally advanced RCCs, involving different anatomic structures surrounding the kidney, the situation is still the subject of controversial scientific dispute. In detail, perirenal fat invasion, direct infiltration of the ipsilateral adrenal gland, invasion of the urinary collecting system, infiltration of renal sinus fat, and vena cava and renal vein thrombosis are disputed. Finally, staging of lymph node metastases and distant metastatic disease is discussed.nnnCONCLUSIONSnSpecial emphasis should be put on renal sinus invasion for stage evaluation. Retrospective studies relying on material collected at a time when no emphasis was placed on adequate sampling of the renal sinus should be treated with caution. In view of new treatment opportunities, the current TNM staging system of RCC and any other staging system must be dynamic.

Update on the Medical Treatment of Metastatic Renal Cell Carcinoma

CONTEXTnMetastatic renal cell carcinoma (mRCC) has long been treated only by immunotherapy with good results only in a small population of patients. In recent years, major improvements in treatment possibilities have occurred with the advent of anti-angiogenic drugs. In the past 2 yr, pivotal phase III trials have confirmed this major breakthrough by increasing the progression-free survival rates and/or overall survival rates provided by sunitinib, sorafenib, and bevacizumab, and more recently by the mTOR (mammalian target of rapamycin) inhibitors temsirolimus and everolimus.nnnOBJECTIVEnTo update the previous review on smart drugs published in the European Journal in 2006 (Patard JJ, et al. Understanding the importance of smart drugs in renal cell carcinoma. Eur Urol 2006; 49:633-43).nnnEVIDENCE ACQUISITIONnCritical review of published literature 2006-2008 (Pubmed website search words: renal cell carcinoma and/or targeted therapy and prospective trials) and more recent meeting abstracts (American Society of Clinical Oncology 2007). Quality assessment included prospective phase I-III trials and critical evaluations with low numbers of patients, retrospective analyses, and slide presentations of meeting abstracts.nnnEVIDENCE SYNTHESISnThis review presents the current situation and provides more recent data on sequential treatment, the association of targeted drugs, and the treatment of non-clear-cell histologies.nnnCONCLUSIONSnTreatment of mRCC with targeted therapy centers on at least two major pathways: angiogenesis and mTOR involving inhibiting drugs that may be used alone, in combination, or sequentially.

Clinicopathological features and prognosis of synchronous bilateral renal cell carcinoma: an international multicentre experience.

An interesting group of papers in this section is headed by two papers on synchronous bilateral renal tumours, one from an international group of authors and one from Germany. The large series of patients are examined carefully by both groups, and the findings should be useful for all who are interested in this area.

Prognostic variables to predict cancer‐related death in incidental renal tumours

To identify, in a large multicentre series of incidental renal tumours, the key factors that could predict cancer‐related deaths, as such tumours have a better outcome than symptomatic tumours and selected patients are increasingly being included in watchful‐waiting protocols.

Cytoreductive Partial Nephrectomy Does Not Undermine Cancer Control in Metastatic Renal Cell Carcinoma: A Population-Based Study

OBJECTIVESnWe examined the population-based rates of cancer-specific survival in patients with metastatic renal cell carcinoma (MRCC) treated with either partial (PN) or radical cytoreductive nephrectomy (RN).nnnMETHODSnPatients diagnosed with MRCC and treated with either PN or RN were identified within nine SEER cancer registries. Matched and unmatched Kaplan-Meier survival analyses, as well as multivariable Cox regression models compared the effect of RN (n = 1997, 97.8%) vs. PN (n = 46, 2.2%) on cancer-specific survival (CSS). Covariates consisted of age, gender, community type (rural vs urban), race, Surveillance, Epidemiology, and End Results (SEER) registry, tumor size and year of diagnosis.nnnRESULTSnIn multivariable unmatched Cox regression analyses, no statistically significantly difference was found in CSS between the two groups (hazard ratio [HR] 1.40, P = .16). Similarly, no difference in CSS was found in the matched analyses (HR 1.35, log rank P = .34).nnnCONCLUSIONnCytoreductive PN does not appear to undermine survival in patients with MRCC.

Raman Spectroscopy: A Novel Experimental Approach to Evaluating Renal Tumours

BACKGROUNDnNew optical techniques of spectroscopy have shown promising results in the evaluation of solid tumours.nnnOBJECTIVEnTo evaluate the potential of Raman spectroscopy (RS) to assess renal tumours at surgery.nnnDESIGN, SETTING, AND PARTICIPANTSnOver a 5-mo period, Raman optical spectra were prospectively acquired on surgical renal specimens removed due to suspicion of cancer.nnnMEASUREMENTSnRaman measures were normalised to ensure comparison between spectra. A lower resolution signal was computed using a wavelet decomposition procedure to diminish the size of the signal and exploit the complete spectrum. A support vector machine (SVM) with a linear kernel and a sequential minimal optimisation solver was applied. A leave-one-out cross-validation technique was used to train and test the SVM.nnnRESULTS AND LIMITATIONSnThere were 36 patients with 34 malignant tumours (27 clear-cell, 6 papillary, and 1 chromophobe) and 2 benign (1 oncocytoma and 1 metanephric cyst) tumours. A total of 241 analysable Raman spectra were obtained. The SVM was able to classify tumoural and normal tissue with an accuracy of 84% (sensitivity 82%, specificity 87%). High-grade and low-grade tumours were differentiated with a precision of 82% (sensitivity 84%, specificity 80%). Histologic subtype could be categorised with an accuracy of 93% (sensitivity 96%, specificity 87%). SVM could not be applied to classify benign and malignant tumours because of the restricted number of benign spectra.nnnCONCLUSIONSnRS can accurately differentiate normal and tumoural renal tissue, low-grade and high-grade renal tumours, and histologic subtype of renal cell carcinoma. Larger prospective studies are needed to confirm these preliminary data.

Survival of patients with nonmetastatic pT3 renal tumours: a matched comparison of laparoscopic vs open radical nephrectomy.

To compare the oncological outcome of patients with pT3 renal tumours treated either by laparoscopic radical nephrectomy (LRN) or open RN (ORN).

Voies moléculaires dans le cancer du rein : de la biologie aux traitements de demain

The medical treatment of renal-cell carcinoma, and of its most frequent subtype, clear cell renal-cell carcinoma, has recently been drastically changed by the emergence of targeted therapies. The development of these drugs has been made possible by more precise knowledge of molecular mechanisms involved in the carcinogenesis of these tumors. We present in this article the molecular pathways linked to targeted therapies for clear cell renal-cell carcinoma: VHL/HIF/VEHF and PI3K/AkT/mTOR pathways. We also describe succinctly the EGFR pathways, and the molecular mechanisms involved in other histological subtypes. Then, we briefly describe how these targeted therapies work. We finally discuss how biology could improve the use of these therapies, by developing new prognostic factors, and predictive factors of response to treatment.