Matthew H. Bui

Using protein expressions to predict survival in clear cell renal carcinoma.

Purpose: An accurate system for predicting survival for patients with solid tumors will allow for better patient selection for both established and novel therapies. We propose a staging system for clear cell variants of renal cell carcinoma (RCC) that includes molecular predictors and standard clinical predictors such as tumor-node-metastasis (TNM) stage, histological grade, and performance status (PS). Experimental Design: A custom tissue array was constructed using clear cell RCC from 318 patients, representing all stages of localized and metastatic RCC, and immunohistochemically stained for molecular markers Ki67, p53, gelsolin, CA9, CA12, PTEN, EpCAM, and vimentin. We present a strategy for evaluating individual candidate markers for prognostic information and integrating informative markers into a multivariate prognostic system. Results: The overall median follow-up and the median follow-up for surviving patients were 28 and 55 months, respectively. A prognostic model based primarily on molecular markers included metastasis status, p53, CA9, gelsolin, and vimentin as predictors and had high discriminatory power: its statistically validated concordance index (C-index) was found to be 0.75. A prognostic model based on a combination of clinical and molecular predictors included metastasis status, T stage, Eastern Cooperative Oncology Group PS, p53, CA9, and vimentin as predictors and had a C-index of 0.79, which was significantly higher (P < 0.05) than that of prognostic models based on grade alone (C = 0.65), TNM stage alone (C = 0.73), or the University of California Los Angeles integrated staging system (C = 0.76). Conclusions: Protein expressions obtained using widely available technology can complement standard clinical predictors such as TNM stage, histological grade, and PS.

Scoring Algorithm to Predict Survival after Nephrectomy and Immunotherapy in Patients with Metastatic Renal Cell Carcinoma: A Stratification Tool for Prospective Clinical Trials

The objective of this study was to develop an algorithm capable of stratifying the survival of patients with metastatic renal cell carcinoma (RCC) after nephrectomy and immunotherapy.

Epithelial Cell Adhesion Molecule (KSA) Expression Pathobiology and Its Role as an Independent Predictor of Survival in Renal Cell Carcinoma

Purpose: Epithelial cell adhesion molecule (EpCAM) is a widely expressed adhesion molecule in epithelial cancers. The purpose of this study is to determine the protein expression patterns of EpCAM in renal cell carcinoma (RCC) using tissue arrays linked to a clinicopathological database to evaluate both its predictive power in patient stratification and its suitability as a potential target for immunotherapeutic treatment strategies. Experimental Design: The University of California, Los Angeles kidney cancer tissue microarray contains specimens from 417 patients treated with nephrectomy. EpCAM protein expression in tumors and matched morphologically normal renal tissues was evaluated using anti-EpCAM immunohistochemistry. The resultant expression reactivity was correlated with clinicopathological variables. Results: EpCAM is consistently expressed in the distal nephron on normal renal epithelium. Clear cell RCCs show minimal and infrequent EpCAM expression, whereas chromophobe and collecting duct RCCs both demonstrate intense and frequent expression. Of 318 clear cell carcinomas used in the analysis, 10% were EpCAM positive in ≥50% of cells, and 8% of patients would be considered candidates for EpCAM-based therapy, based on high expression [≥moderate intensity and frequent (≥50%) expression] and the need for systemic treatment. EpCAM expression was an independent prognostic factor for improved disease-specific survival, with a multivariate hazard ratio of 0.63 (P = 0.017; 95% confidence interval, 0.43–0.92). Conclusions: EpCAM is a novel prognostic molecular marker in RCC patients, and its positive expression is an independent predictor associated with improved survival. However, high expression in morphologically normal renal tissues and minimal or absent expression in clear cell carcinomas will likely limit the utility of this epithelial marker in targeted treatments of this most common RCC type.

Clinicopathologic and molecular correlations of necrosis in the primary tumor of patients with renal cell carcinoma

The presence of histologic necrosis in the primary tumor of patients with renal cell carcinoma (RCC) has been suggested to be an important predictor of survival. The authors investigated the relation of tumor necrosis to other clinicopathologic factors known to be important prognostic indicators for patients with RCC.

Number of metastatic sites rather than location dictates overall survival of patients with node-negative metastatic renal cell carcinoma

OBJECTIVES To perform a retrospective study to determine whether survival and immunotherapy response are related to the site of metastases (lung versus bone) and to the number of organ sites involved (one versus multiple). The most common sites of metastatic renal cell carcinoma (mRCC) are the lung and bone. METHODS The records of 434 patients with mRCC were reviewed. Patients with pathologic evidence of nodal involvement were excluded, leaving 120 patients with mRCC to lung only, 33 patients to bone only, and 144 patients with multiple organ involvement. The response rates to immunotherapy and overall survival were compared. The variables evaluated in statistical analyses included Eastern Cooperative Oncology Group score, grade, 1997 tumor stage, and multiple organ involvement. RESULTS The median survival for patients with lung only and bone only mRCC was 27 months; patients with multiple organ involvement had a median survival of 11 months. In patients who underwent nephrectomy followed by immunotherapy, the median survival time was 31, 31, and 13 months in the lung, bone, and multiple sites groups, respectively. The response rate to immunotherapy after nephrectomy was 44%, 20%, and 14% in the lung, bone, and multiple organ groups, respectively. Multivariate analysis confirmed that metastatic disease to more than one organ site was associated with poor prognosis (2.05 risk ratio, P <0.001). CONCLUSIONS Patients with mRCC to only one organ site fared significantly better than patients who had evidence of disease in multiple organs. Survival in patients with disease limited to the lung was similar to that of patients whose disease was limited to bone.

Correlation of Ki-67 and gelsolin expression to clinical outcome in renal clear cell carcinoma

OBJECTIVES To analyze the expression levels of Ki-67 and gelsolin in renal cell carcinoma (RCC) and determine their prognostic value in association with other clinicopathologic factors using tissue microarray technology. Histologic nuclear grade, performance status, and clinical stage are important prognostic factors in RCC. Because patients with tumors of similar grade, performance status, and stage may show a wide variation in biologic behavior and clinical outcome, additional biomarkers for RCC are needed to provide further prognostic information and possibly offer insight into the mechanisms of the disease. METHODS Using a renal cancer tissue microarray, we correlated the expression of Ki-67, a marker of cell proliferation, and gelsolin, an actin-binding protein, with grade, stage, and survival in patients with clear cell RCC. RESULTS In Cox multivariate regression analysis, stage (pT) was the most significant predictor of cancer-specific survival (P <0.0001), followed by Ki-67 (P = 0.0216). In univariate analysis, increased Ki-67 expression predicted poor cancer-specific survival (P = 0.0006) when a cutoff value for Ki-67 staining was applied. In patients with grade 2 tumors, increased Ki-67 expression and decreased gelsolin expression in the same tumor was suggestive of poor cancer-specific survival (P = 0.0507). CONCLUSIONS Our findings support the utility of Ki-67 as a prognostic biomarker for RCC and suggest a role for gelsolin in renal carcinogenesis.

Stem cell genes in androgen-independent prostate cancer.

Despite recent advances in the detection and treatment of early stage prostate cancer, there remains little effective therapy for patients with locally advanced and/or metastatic disease. Although the majority of patients with advanced disease respond initially to androgen ablation therapy, most go on to develop androgen-independent tumors that are inevitably fatal. Therefore, understanding the mechanisms by which a hormone-sensitive tumor escapes hormonal control is critical to the development of effective therapeutic modalities. The study of the differentiation pathways of normal and abnormal prostate growth has led to the development of a stem cell model for prostate cancer [1–3]. Recent work discussed in this commentary suggests that prostate tumors resist apoptosis and proliferate by adopting features of normal prostatic stem/progenitor cells. Basal cells, the putative stem/progenitor cells of the prostate, possess the phenotype of androgen-independence as do most advanced prostate cancers. Therefore, the study of basal cells may prove critical to understanding prostate carcinogenesis and to the development of novel strategies for preventing and managing prostate cancer.

Current staging of renal cell carcinoma

Most (>80%) cancers involving the kidney are renal cell carcinoma (RCC). One third of patients diagnosed with kidney cancer have evidence of metastatic disease at the time of diagnosis, and as many as half of patients treated for localized disease eventually relapse. As is true for any other malignancy, one must determine which tumor features, patient factors, and laboratory techniques will provide diagnostic and prognostic information for patients with RCC. This article focuses on the history and rationale of the current staging systems for RCC as well as the potential for improvements by the addition of other clinical, pathologic, and molecular prognostic markers.

Prognostic factors and molecular markers for renal cell carcinoma.

Renal cell carcinoma is the most common cancer in the kidney, affecting nearly 30,000 Americans every year and is associated with over 12,000 deaths annually. If detected early, renal cell carcinomas can be cured surgically. However, once metastatic disease develops the prognosis for long-term survival is poor. Unfortunately, one-third of patients have metastatic disease at the time of diagnosis and approximately 50% of the patients undergoing surgical resection for less advanced disease eventually relapse. This review examines the clinical and molecular prognostic tools currently available or under investigation for kidney cancer.