Patterns of care and outcomes for second-line targeted therapy in metastatic renal cell carcinomas: A registry based analysis

Second-Line Treatment of Metastatic Renal Cell Carcinoma in the Era of Predictive Biomarkers

BACKGROUND

Over the past few years, significant advancements have been achieved in the front-line treatment of metastatic renal cell carcinomas (mRCCs). However, most patients will eventually encounter disease progression during this front-line treatment and require further therapeutic options. While treatment choices for mRCCs patients are determined by established risk classification models, knowledge of prognostic factors in subsequent line therapy is essential in patient care.

METHODS

In this retrospective, single-center study, patients diagnosed with mRCCs who experienced progression after first-line therapy were enrolled. Fifteen factors were analyzed for their prognostic impact on survival using the Kaplan-Meier method and the Cox proportional hazards model.

RESULTS

Poor International Metastatic RCCs Database Consortium (IMDC) and Memorial Sloan-Kettering Cancer Center (MSKCC) risk scores, NLR value > 3, clinical benefit < 3 months from a therapeutic line, and the presence of sarcomatoid differentiation were found to be poor independent prognostic factors for shortened overall survival.

CONCLUSIONS

This study provided new insights into the identification of potential prognostic parameters for late-line treatment in mRCCs. The results indicated that good IMDC and MSKCC prognostic scores are effective in second-line therapy. Moreover, patients with NLR < 3, no sarcomatoid differentiation, and clinical benefit > 3 months experienced significantly longer overall survival.

A systematic review to summarize treatment patterns, guidelines, and characteristics of patients with renal cell carcinoma in the Asia-Pacific region

INTRODUCTION

This systematic review evaluated treatment patterns and guidelines in advanced/metastatic and adjuvant renal cell carcinoma (RCC) in the Asia-Pacific region.

AREAS COVERED

Embase, PubMed, and congresses were searched for observational studies and guidelines in accordance with PRISMA. Records published during 2016-2021 (2019-2021 for congresses) were included.

EXPERT OPINION

Nine studies and three guidelines were identified overall. In advanced/metastatic RCC, the most common treatments were tyrosine kinase inhibitors (TKIs) (notably sunitinib: 33-100%) for first-line, and everolimus (13-85%) or axitinib (2-89%) for second-line therapy. In adjuvant RCC, sunitinib was most used (54%), followed by mammalian target of rapamycin inhibitors (mTORis, 27%) with immunotherapy being less common (16%). The guidelines provided varying recommendations for advanced/metastatic RCC. For first-line in advanced/metastatic clear cell RCC (the most common subtype), guidelines recommended mTORis (everolimus for poor-risk patients) (India, 2016); clinical study enrollment for high-risk patients or TKIs for low- to medium-risk patients (China, 2019); or immunotherapy based on survival benefits over sunitinib; dose adjustment was also recommended to manage TKI toxicities (Hong Kong, 2019). The landscape remained more static in the adjuvant setting, but best practice was uncertain. No clear trends were identified in patient characteristics.

Biomarkers defining probability of receiving second-line targeted therapy in metastatic renal cell carcinoma

In order to facilitate long-term treatment decisions, we aimed to define biomarkers defining the probability of receiving second-line (SL) targeted therapy (TT) in patients with metastatic renal cell carcinoma (mRCC) based on their characteristics present at first-line TT initiation. We analysed 152 consecutive mRCC patients treated and used multivariable binominal logistic regression to identify factors contributing to the probability of receiving SL TT. Final model was assessed with bias-corrected indices (Nagelkerke’s R² and area under receiver operating characteristic curve [AUC]) and two bootstrap procedures were used for internal validation. Factors associated with the probability of SL TT eligibility were the presence of brain metastases (odds ratio [OR] 0.084, 95% confidence interval [CI] 0.010–0.707), number of metastatic sites (OR 0.740, 95% CI 0.575–0.953 per each site), platelet count (OR 0.971, 95% CI 0.947–0.997, per 10⁴/ml), lactate dehydrogenase level (OR 0.952, 95% CI 0.910–0.997 per 10 units/l), and albumin concentration (OR 1.924, 95% CI 1.057–3.503 per 1 g/dl). We developed on-line calculator that enables practicing clinicians to estimate SL treatment probability (http://www.r-calc.com).