Predictive biomarkers of overall survival in patients with renal cell carcinoma treated with interferon alpha +/- bevacizumab: Results from CALGB 90206 (Alliance)

2021 ◽  
pp. clincanres.2386.2021
Author(s):  
Andrew B. Nixon ◽  
Susan Halabi ◽  
Yingmiao Liu ◽  
Mark D. Starr ◽  
John C. Brady ◽  
...  
2009 ◽  
Vol 27 (15_suppl) ◽  
pp. LBA5019-LBA5019 ◽  
Author(s):  
B. I. Rini ◽  
S. Halabi ◽  
J. Rosenberg ◽  
W. M. Stadler ◽  
D. A. Vaena ◽  
...  

LBA5019 The full, final text of this abstract will be available in Part II of the 2009 ASCO Annual Meeting Proceedings, distributed onsite at the Meeting on May 30, 2009, and as a supplement to the June 20, 2009, issue of the Journal of Clinical Oncology. [Table: see text]


2009 ◽  
Vol 27 (18_suppl) ◽  
pp. LBA5019-LBA5019 ◽  
Author(s):  
B. I. Rini ◽  
S. Halabi ◽  
J. Rosenberg ◽  
W. M. Stadler ◽  
D. A. Vaena ◽  
...  

LBA5019 Background: Bevacizumab (BEV) plus interferon alpha (IFN) demonstrated a superior objective response rate and progression-free survival (PFS) versus IFN monotherapy in renal cell carcinoma (RCC) patients in 2 phase III trials. The primary objective of CALGB 90206 was to compare overall survival (OS) for advanced RCC patients receiving BEV plus IFN or IFN alone. Methods: Patients with previously-untreated, metastatic RCC with a clear cell component and Karnofsky performance status of ≥ 70% were eligible. Patients were prospectively randomized to receive BEV (10 mg/kg intravenously every 2 weeks) plus IFN (9 million units subcutaneously three times weekly) or the same dose and schedule of IFN as monotherapy. Randomization was stratified by nephrectomy status and number of MSKCC adverse features. The primary endpoint was OS, defined as the time from randomization to death due to any cause. The trial was designed with 86% power to detect a hazard ratio (HR) of 0.76, assuming a two-sided type I error of 0.05. The primary analysis was an intent-to-treat approach using the stratified log-rank statistic, and the present analysis was based on the target number of 588 deaths. Results: Between October 2003 and July 2005, 732 patients were enrolled; 369 pts to BEV plus IFN and 363 pts to IFN monotherapy. The median duration of follow up among censored patients was 46.2 months (IQR=45.2–48.2). The median OS was 18.3 months (95% CI; 16.5–22.5) for BEV plus IFN and 17.4 months (95% CI; 14.4–20.0, unstratified log rank p = 0.097) for IFN monotherapy. The stratified HR was 0.86 (95% CI; 0.73–1.01) for BEV plus IFN compared to IFN (stratified log-rank p = 0.069). The median OS for BEV plus IFN versus IFN was 32.5 vs. 33.5 months (p = 0.524) for MSKCC good risk, 17.7 vs. 16.1 months (p = 0.174) for intermediate risk and 6.6 vs. 5.7 months (p = 0.245) for poor risk patients. The median PFS was 8.4 months vs. 4.9 months (p<0.0001). Fifty-three percent of patients received subsequent systemic therapy. Conclusions: The addition of BEV to IFN significantly improves the objective response rate and PFS versus IFN monotherapy. Overall survival favored the BEV plus IFN arm, not meeting pre-defined criteria for significance. [Table: see text]


2021 ◽  
Vol 22 (12) ◽  
pp. 6290
Author(s):  
Hye-Won Lee

Advanced imaging techniques for diagnosis have increased awareness on the benefits of brain screening, facilitated effective control of extracranial disease, and prolonged life expectancy of metastatic renal cell carcinoma (mRCC) patients. Brain metastasis (BM) in patients with mRCC (RCC-BM) is associated with grave prognoses, a high degree of morbidity, dedicated assessment, and unresponsiveness to conventional systemic therapeutics. The therapeutic landscape of RCC-BM is rapidly changing; however, survival outcomes remain poor despite standard surgery and radiation, highlighting the unmet medical needs and the requisite for advancement in systemic therapies. Immune checkpoint inhibitors (ICIs) are one of the most promising strategies to treat RCC-BM. Understanding the role of brain-specific tumor immune microenvironment (TIME) is important for developing rationale-driven ICI-based combination strategies that circumvent tumor intrinsic and extrinsic factors and complex positive feedback loops associated with resistance to ICIs in RCC-BM via combination with ICIs involving other immunological pathways, anti-antiangiogenic multiple tyrosine kinase inhibitors, and radiotherapy; therefore, novel combination approaches are being developed for synergistic potential against RCC-BM; however, further prospective investigations with longer follow-up periods are required to improve the efficacy and safety of combination treatments and to elucidate dynamic predictive biomarkers depending on the interactions in the brain TIME.


Author(s):  
Zahra Khodabakhshi ◽  
Mehdi Amini ◽  
Shayan Mostafaei ◽  
Atlas Haddadi Avval ◽  
Mostafa Nazari ◽  
...  

AbstractThe aim of this work is to investigate the applicability of radiomic features alone and in combination with clinical information for the prediction of renal cell carcinoma (RCC) patients’ overall survival after partial or radical nephrectomy. Clinical studies of 210 RCC patients from The Cancer Imaging Archive (TCIA) who underwent either partial or radical nephrectomy were included in this study. Regions of interest (ROIs) were manually defined on CT images. A total of 225 radiomic features were extracted and analyzed along with the 59 clinical features. An elastic net penalized Cox regression was used for feature selection. Accelerated failure time (AFT) with the shared frailty model was used to determine the effects of the selected features on the overall survival time. Eleven radiomic and twelve clinical features were selected based on their non-zero coefficients. Tumor grade, tumor malignancy, and pathology t-stage were the most significant predictors of overall survival (OS) among the clinical features (p < 0.002, < 0.02, and < 0.018, respectively). The most significant predictors of OS among the selected radiomic features were flatness, area density, and median (p < 0.02, < 0.02, and < 0.05, respectively). Along with important clinical features, such as tumor heterogeneity and tumor grade, imaging biomarkers such as tumor flatness, area density, and median are significantly correlated with OS of RCC patients.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jazmine Arévalo ◽  
David Lorente ◽  
Enrique Trilla ◽  
María Teresa Salcedo ◽  
Juan Morote ◽  
...  

AbstractClear cell renal cell carcinoma (ccRCC) is the most frequent and aggressive subtype of renal carcinoma. So far, the basis of its oncogenesis remains unclear resulting in a deficiency of usable and reliable biomarkers for its clinical management. Previously, we showed that nuclear expression of the signal transducer and activator of transcription 3 (STAT3), phosphorylated at its serine 727 (pS727), was inversely proportional to the overall survival of ccRCC patients. Therefore, in the present study, we validated the value of pS727-STAT3 as a clinically relevant biomarker in ccRCC. This work is a retrospective study on 82 ccRCC patients treated with nephrectomy and followed-up for 10 years. Immunohistochemical expression of pS727-STAT3 was analyzed on a tissue microarray and nuclear and cytosolic levels were correlated with clinical outcome of patients. Our results showed that pS727-STAT3 levels, whether in the nucleus (p = 0.002; 95% CI 1.004–1.026) or the cytosol (p = 0.040; 95% CI 1.003–1.042), significantly correlate with patients’ survival in an independent-manner of clinicopathological features (Fuhrman grade, risk group, and tumor size). Moreover, we report that patients with high pS727-STAT3 levels who undergone adjuvant therapy exhibited a significant stabilization of the disease (~ 20 months), indicating that pS727-STAT3 can pinpoint a subset of patients susceptible to respond well to treatment. In summary, we demonstrated that high pS727-STAT3 levels (regardless of their cellular location) correlate with low overall survival of ccRCC patients, and we suggested the use of pS727-STAT3 as a prognostic biomarker to select patients for adjuvant treatment to increase their survival.


2021 ◽  
Vol 28 (2) ◽  
pp. 1402-1411
Author(s):  
Koji Iinuma ◽  
Koji Kameyama ◽  
Kei Kawada ◽  
Shota Fujimoto ◽  
Kimiaki Takagi ◽  
...  

We conducted a multicenter, retrospective study to evaluate the efficacy and safety of combination nivolumab plus ipilimumab (NIVO+IPI) in 35 patients with advanced or metastatic renal cell carcinoma (mRCC). In this study, we focused on patients who received NIVO+IPI and were stratified into intermediate- or poor-risk disease according to the International Metastatic Renal Cell Carcinoma Database Consortium model at five institutions in Japan. The primary endpoint was overall survival (OS). Secondary endpoints were disease control rate (DCR), best overall response (BOR), objective response rate (ORR), and progression-free survival (PFS). In addition, we evaluated the role of inflammatory cell ratios, namely neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), as predictive biomarkers in patients with mRCC. The median follow-up period was 1 year, and the 1-year OS rate was 95.8%. The ORR and DCR were 34.3% and 80.0%, respectively. According to BOR, four patients (11.4%) achieved complete response. According to NLR stratification, the 1-year PFS rates were 82.6% and 23.7% when the NLR was ≤4.6 and >4.6, respectively (p = 0.04). Based on PLR stratification, the 1-year PFS rates were 81.7% and 34.3% when the PLR was ≤188.1 and >188.1, respectively (p = 0.033). Although 71.4% of the patients experienced treatment-related adverse events (TRAEs) with NIVO+IPI, only four patients discontinued NIVO+IPI due to grade 3/4 TRAEs. Patients treated with NIVO+IPI as a first-line therapy for advanced or mRCC achieved relatively better oncological outcomes. Therefore, NIVO+IPI may have potential advantages and may lead to a treatment effect compared to those receiving targeted therapies. In addition, PLR >188.1 may be a useful predictive marker for mRCC patients who received NIVO+IPI.


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