scholarly journals Anti-angiogenesis and Immunotherapy: Novel Paradigms to Envision Tailored Approaches in Renal Cell-Carcinoma

2020 ◽  
Vol 9 (5) ◽  
pp. 1594 ◽  
Author(s):  
Antonella Argentiero ◽  
Antonio Giovanni Solimando ◽  
Markus Krebs ◽  
Patrizia Leone ◽  
Nicola Susca ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Molecular Taxonomy ◽  
Unmet Need ◽  
Predictive Biomarkers ◽  
Individual Sensitivity ◽  
Molecular Alterations ◽  
Tailored Treatment ◽  
Improve Patient

Although decision making strategy based on clinico-histopathological criteria is well established, renal cell carcinoma (RCC) represents a spectrum of biological ecosystems characterized by distinct genetic and molecular alterations, diverse clinical courses and potential specific therapeutic vulnerabilities. Given the plethora of drugs available, the subtype-tailored treatment to RCC subtype holds the potential to improve patient outcome, shrinking treatment-related morbidity and cost. The emerging knowledge of the molecular taxonomy of RCC is evolving, whilst the antiangiogenic and immunotherapy landscape maintains and reinforces their potential. Although several prognostic factors of survival in patients with RCC have been described, no reliable predictive biomarkers of treatment individual sensitivity or resistance have been identified. In this review, we summarize the available evidence able to prompt more precise and individualized patient selection in well-designed clinical trials, covering the unmet need of medical choices in the era of next-generation anti-angiogenesis and immunotherapy.

scholarly journals Anti-Angiogenesis and Immunotherapy: Novel Paradigms to Envision Tailored Approaches in Renal Cell-Carcinoma

2020 ◽  
Author(s):  
Antonella Argentiero ◽  
Antonio Giovanni Solimando ◽  
Markus Krebs ◽  
Patrizia Leone ◽  
Nicola Susca ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Molecular Taxonomy ◽  
Unmet Need ◽  
Predictive Biomarkers ◽  
Individual Sensitivity ◽  
Molecular Alterations ◽  
Tailored Treatment ◽  
Improve Patient

Although decision making strategy based on clinico-histopathological criteria is well established, renal cell carcinoma (RCC) represents a spectrum of biological ecosystems characterized by distinct genetic and molecular alterations, diverse clinical courses and potential specific therapeutic vulnerabilities. Given the plethora of drugs available, the subtype-tailored treatment to RCC subtype holds the potential to improve patient outcome, shrinking treatment-related morbidity and cost. The emerging knowledge of the molecular taxonomy of RCC is evolving, whilst the antiangiogenic and immunotherapy landscape maintained and reinforced their potential. Although several prognostic factors of survival in patients with RCC have been described, no reliable predictive biomarkers of treatment individual sensitivity or resistance have been identified. In this review, we summarize the available evidence able to prompt more precise and individualized patient selection in well-designed clinical trials, covering the unmet need of medical choices in the era of next-generation anti-angiogenesis and immunotherapy.

scholarly journals Thrombospondin-2 and LDH Are Putative Predictive Biomarkers for Treatment with Everolimus in Second-Line Metastatic Clear Cell Renal Cell Carcinoma (MARC-2 Study)

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2594
Author(s):  
Philip Zeuschner ◽  
Sebastian Hölters ◽  
Michael Stöckle ◽  
Barbara Seliger ◽  
Anja Mueller ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Unmet Need ◽  
Therapy Response ◽  
Predictive Biomarkers ◽  
Second Line ◽  
Cell Renal Cell Carcinoma ◽  
Therapy Initiation

There is an unmet need for predictive biomarkers in metastatic renal cell carcinoma (mRCC) therapy. The phase IV MARC-2 trial searched for predictive blood biomarkers in patients with predominant clear cell mRCC who benefit from second-line treatment with everolimus. In an exploratory approach, potential biomarkers were assessed employing proteomics, ELISA, and polymorphism analyses. Lower levels of angiogenesis-related protein thrombospondin-2 (TSP-2) at baseline (≤665 parts per billion, ppb) identified therapy responders with longer median progression-free survival (PFS; ≤665 ppb at baseline: 6.9 months vs. 1.8, p = 0.005). Responders had higher lactate dehydrogenase (LDH) levels in serum two weeks after therapy initiation (>27.14 nmol/L), associated with a longer median PFS (3.8 months vs. 2.2, p = 0.013) and improved overall survival (OS; 31.0 months vs. 14.0 months, p < 0.001). Baseline TSP-2 levels had a stronger relation to PFS (HR 0.36, p = 0.008) than baseline patient parameters, including IMDC score. Increased serum LDH levels two weeks after therapy initiation were the best predictor for OS (HR 0.21, p < 0.001). mTOR polymorphisms appeared to be associated with therapy response but were not significant. Hence, we identified TSP-2 and LDH as promising predictive biomarkers for therapy response on everolimus after failure of one VEGF-targeted therapy in patients with clear cell mRCC.

Plasma exosome microRNAs in patients with advanced renal cell carcinoma treated with nivolumab and ipilimumab: Potential biomarkers of response to therapy.

2021 ◽  
Vol 39 (6_suppl) ◽  
pp. 338-338
Author(s):  
Maryam Soleimani ◽  
Marisa Thi ◽  
Neetu Saxena ◽  
Daniel Joseph Khalaf ◽  
Bernhard J. Eigl ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Healthy Volunteers ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Unmet Need ◽  
Predictive Biomarkers ◽  
Complete Response ◽  
Response To Therapy ◽  
Best Response ◽  
Number Of Patients

338 Background: There is a critical unmet need for predictive biomarkers in the management of metastatic renal cell carcinoma (mRCC). We sought to quantify plasma exosome microRNAs (miRNAs) and correlate with response to first line nivolumab and ipilimumab (N/I) to potentially serve as such a biomarker. Methods: We evaluated the expression of 11 miRNAs in 19 patients with mRCC (prior to initiation of N/I) and in 32 healthy volunteers. Exosomes were extracted from 500 uL of plasma (qEV original, Izon Science) and once confirmed, were used for miRNAs extraction. MiRNAs expression was evaluated by real time polymerase chain reaction using a TaqMan miRNA assay (Applied Biosystems). The relative quantity of each miRNA in patients was compared to healthy volunteers. The expression of each miRNA was correlated to the best response to N/I, categorizing patients as either responders or non-responders. Results: Clinical characteristics are summarized in the table below. Median age at the start of systemic therapy was 64.3 years. MiR200b demonstrated a significantly higher expression in mRCC patients than in healthy volunteers (unpaired t-test; p=0.04). We observed a variable pattern of miRNA expression based on response to N/I. Although not statistically significant, 4 miRNA (miR138, 155, 200b, 221) were upregulated in non-responders, while two (miR200a and 497) were upregulated in responders. Of note, the only patient to achieve a complete response had the lowest expression of miR138 and the highest expression of miR497. Conclusions: Although preliminary and limited by a small number of patients, these initial observational results are promising and suggest a potential role for miRNAs as predictive biomarkers in mRCC. MiR138 and 497 are known to regulate CTLA-4 and PD-L1, respectively. We speculate that these miRNA are potentially involved in response to immune checkpoint therapy. Ongoing work in evaluating expression of these and other miRNAs in blood and in tissue along with clinical correlation continues. [Table: see text]

Adjuvant Therapy in Renal Cell Carcinoma: Current Stance and Future Directions

Kidney Cancer ◽  
2021 ◽  
pp. 1-12
Author(s):  
Austin G. Kazarian ◽  
Neal S. Chawla ◽  
Ramya Muddasani ◽  
Sumanta K. Pal
Keyword(s):  
Renal Cell Carcinoma ◽  
Adjuvant Therapy ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Kinase Inhibitors ◽  
Checkpoint Inhibitors ◽  
Unmet Need ◽  
Disease Free Survival ◽  
Adjuvant Setting ◽  
Metastatic Setting

In recent years, incredible progress has been made in the treatment of metastatic renal cell carcinoma, with a paradigm shift from the use of cytokines to tyrosine kinase inhibitors, and more recently, immune checkpoint inhibitors (ICIs). Despite advances in the metastatic setting, effective therapies in the adjuvant setting are a largely unmet need. Currently, sunitinib (Sutent, Pfizer) is the only therapy for the adjuvant treatment of RCC included in the National Comprehensive Cancer Network guidelines, which was approved by the FDA based on the improvement in disease-free survival (DFS) seen in the S-TRAC trial. However, improvement in DFS has not translated into an overall survival (OS) benefit for patients at high-risk of relapse post-nephrectomy, illustrating the need for more effective therapies. This manuscript will highlight attributes of both historical and current drug trials and their implications on the landscape of adjuvant therapy. Additionally, we will outline strategies for selecting patients in whom treatment would be most beneficial, as optimal patient selection is a crucial step towards improving outcomes in the adjuvant setting. This is especially critical, given the financial cost and pharmacological toxicity of therapeutic agents. Furthermore, we will review the design of clinical trials including the value of utilizing OS as an endpoint over DFS. Finally, we will discuss how the incorporation of genomic data into predictive models, the use of more sensitive imaging modalities for more accurate staging, and more extensive surgical intervention involving lymph node dissection, may impact outcomes.

scholarly journals Multidiscipline Immunotherapy-Based Rational Combinations for Robust and Durable Efficacy in Brain Metastases from Renal Cell Carcinoma

2021 ◽  
Vol 22 (12) ◽  
pp. 6290
Author(s):  
Hye-Won Lee
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Kinase Inhibitors ◽  
Checkpoint Inhibitors ◽  
Imaging Techniques ◽  
Predictive Biomarkers ◽  
Effective Control ◽  
Extrinsic Factors ◽  
Medical Needs

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.

scholarly journals Efficacy and Safety of Nivolumab and Ipilimumab for Advanced or Metastatic Renal Cell Carcinoma: A Multicenter Retrospective Cohort Study

2021 ◽  
Vol 28 (2) ◽  
pp. 1402-1411
Author(s):  
Koji Iinuma ◽  
Koji Kameyama ◽  
Kei Kawada ◽  
Shota Fujimoto ◽  
Kimiaki Takagi ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Objective Response ◽  
Predictive Biomarkers ◽  
Progression Free Survival ◽  
Predictive Marker ◽  
Efficacy And Safety ◽  
Lymphocyte Ratio

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.

scholarly journals MET Expression in Primary and Metastatic Clear Cell Renal Cell Carcinoma: Implications of Correlative Biomarker Assessment to MET Pathway Inhibitors

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Brian Shuch ◽  
Ryan Falbo ◽  
Fabio Parisi ◽  
Adebowale Adeniran ◽  
Yuval Kluger ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Predictive Biomarkers ◽  
Cell Renal Cell Carcinoma ◽  
Primary Tumors ◽  
Distant Tissue ◽  
Significant Expression ◽  
Metastatic Sites

Aims. Inhibitors of the MET pathway hold promise in the treatment for metastatic kidney cancer. Assessment of predictive biomarkers may be necessary for appropriate patient selection. Understanding MET expression in metastases and the correlation to the primary site is important, as distant tissue is not always available.Methods and Results. MET immunofluorescence was performed using automated quantitative analysis and a tissue microarray containing matched nephrectomy and distant metastatic sites from 34 patients with clear cell renal cell carcinoma. Correlations between MET expressions in matched primary and metastatic sites and the extent of heterogeneity were calculated. The mean expression of MET was not significantly different between primary tumors when compared to metastases (P=0.1). MET expression weakly correlated between primary and matched metastatic sites (R=0.5) and a number of cases exhibited very high levels of discordance between these tumors. Heterogeneity within nephrectomy specimens compared to the paired metastatic tissues was not significantly different (P=0.39).Conclusions. We found that MET expression is not significantly different in primary tumors than metastatic sites and only weakly correlates between matched sites. Moderate concordance of MET expression and significant expression heterogeneity may be a barrier to the development of predictive biomarkers using MET targeting agents.

scholarly journals Evaluation Of Patterns Of Care In Renal Cell Carcinoma (Rcc): High Unmet Need Persists

2015 ◽  
Vol 18 (7) ◽  
pp. A432-A433
Author(s):  
BA Feinberg ◽  
M Bohr ◽  
J Drenning ◽  
DF Garofalo ◽  
J Montgomery
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Unmet Need ◽  
Patterns Of Care

scholarly journals ARG2 and NOS2 as predictive biomarkers in renal cell carcinoma

2015 ◽  
Vol 3 (Suppl 2) ◽  
pp. P110
Author(s):  
Virginia White ◽  
Lucio Miele ◽  
John Estrada ◽  
Jennifer Cvitanovic ◽  
Arnold Zea
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Predictive Biomarkers

scholarly journals Personalized Management of Advanced Kidney Cancer

2018 ◽  
pp. 330-341 ◽  
Author(s):  
Jeffrey Graham ◽  
Daniel Y. C. Heng ◽  
James Brugarolas ◽  
Ulka Vaishampayan
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Kidney Cancer ◽  
Metastatic Renal Cell Carcinoma ◽  
Renal Cell ◽  
Predictive Biomarkers ◽  
Treatment Selection ◽  
Great Success ◽  
Personalized Care ◽  
Oncogenic Pathways

The treatment of renal cell carcinoma represents one of the great success stories in translational cancer research, with the development of novel therapies targeting key oncogenic pathways. These include drugs that target the VEGF and mTOR pathways, as well as novel immuno-oncology agents. Despite the therapeutic advancements, there is a paucity of well-validated prognostic and predictive biomarkers in advanced kidney cancer. With a number of highly effective therapies available across multiple lines, it will become increasingly important to develop a more tailored approach to treatment selection. Prognostic clinical models, such the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) model, are routinely used for prognostication in clinical practice. The IMDC model has demonstrated a predictive capability in the context of these treatments including immune checkpoint inhibition. A number of promising molecular markers and gene expression signatures are being explored as prognostic and predictive biomarkers, but none are ready to be widely used for treatment selection. In this review, we will explore the current landscape of personalized care in metastatic renal cell carcinoma. This will include a focus on both prognostic and predictive factors as well as clinical applications of biology in kidney cancer.

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