Predictive Biomarkers of Immunotherapy Efficacy in RCC and Their Role in Non-metastatic Stages

Author(s):  
Jasnoor Malhotra ◽  
Luis Meza ◽  
Nicholas Salgia ◽  
Sumanta Kumar Pal
Author(s):  
Alexander Meisel

Until recently, the clinical management of cancer heavily relied on anatomical and histopathological criteria, with ad hoc guidelines directing the therapeutic choices in specific indications. In the last years, the development and therapeutic implementation of novel anticancer therapies significantly improved the clinical outcome of cancer patients. Nonetheless, such cutting-edge approaches revealed the limitation of the one-size-fits-all paradigm. The newly discovered molecular targets can be exploited either as bona fide targets for subsequent drug development, or as tools to precision medicine, in the form of prognostic and/or predictive biomarkers. This article provides an overview of some of the most recent advances in precision medicine in oncology, with a focus on novel tissue-agnostic anticancer therapies. The definition and implementation of biomarkers and companion diagnostics in clinical trials and clinical practice are also discussed, as well as the changing landscape in clinical trial design.


2019 ◽  
Author(s):  
Han Ge ◽  
Yangyang Cui ◽  
Yue Huang ◽  
Mingjie Zheng ◽  
Xiaowei Wu ◽  
...  

2017 ◽  
Vol 12 (1) ◽  
pp. 221-229
Author(s):  
Abeer M. Ashmawy ◽  
Mona A. Sheta ◽  
Faten Zahran ◽  
Abdel Hady A. Abdel Wahab

2020 ◽  
Vol 27 (17) ◽  
pp. 2792-2813
Author(s):  
Martina Strudel ◽  
Lucia Festino ◽  
Vito Vanella ◽  
Massimiliano Beretta ◽  
Francesco M. Marincola ◽  
...  

Background: A better understanding of prognostic factors and biomarkers that predict response to treatment is required in order to further improve survival rates in patients with melanoma. Predictive Biomarkers: The most important histopathological factors prognostic of worse outcomes in melanoma are sentinel lymph node involvement, increased tumor thickness, ulceration and higher mitotic rate. Poorer survival may also be related to several clinical factors, including male gender, older age, axial location of the melanoma, elevated serum levels of lactate dehydrogenase and S100B. Predictive Biomarkers: Several biomarkers have been investigated as being predictive of response to melanoma therapies. For anti-Programmed Death-1(PD-1)/Programmed Death-Ligand 1 (PD-L1) checkpoint inhibitors, PD-L1 tumor expression was initially proposed to have a predictive role in response to anti-PD-1/PD-L1 treatment. However, patients without PD-L1 expression also have a survival benefit with anti-PD-1/PD-L1 therapy, meaning it cannot be used alone to select patients for treatment, in order to affirm that it could be considered a correlative, but not a predictive marker. A range of other factors have shown an association with treatment outcomes and offer potential as predictive biomarkers for immunotherapy, including immune infiltration, chemokine signatures, and tumor mutational load. However, none of these have been clinically validated as a factor for patient selection. For combined targeted therapy (BRAF and MEK inhibition), lactate dehydrogenase level and tumor burden seem to have a role in patient outcomes. Conclusions: With increasing knowledge, the understanding of melanoma stage-specific prognostic features should further improve. Moreover, ongoing trials should provide increasing evidence on the best use of biomarkers to help select the most appropriate patients for tailored treatment with immunotherapies and targeted therapies.


2016 ◽  
Vol 22 (999) ◽  
pp. 1-1
Author(s):  
Bernd Mayer ◽  
Andreas Heinzel ◽  
Arno Lukas ◽  
Paul Perco

2019 ◽  
Vol 20 (8) ◽  
pp. 852-870
Author(s):  
Hassan Dianat-Moghadam ◽  
Ladan Teimoori-Toolabi

Fibroblast growth factors (FGFs) are pleiotropic molecules exerting autocrine, intracrine and paracrine functions via activating four tyrosine kinase FGF receptors (FGFR), which further trigger a variety of cellular processes including angiogenesis, evasion from apoptosis, bone formation, embryogenesis, wound repair and homeostasis. Four major mechanisms including angiogenesis, inflammation, cell proliferation, and metastasis are active in FGF/FGFR-driven tumors. Furthermore, gain-of-function or loss-of-function in FGFRs1-4 which is due to amplification, fusions, mutations, and changes in tumor–stromal cells interactions, is associated with the development and progression of cancer. Although, the developed small molecule or antibodies targeting FGFR signaling offer immense potential for cancer therapy, emergence of drug resistance, activation of compensatory pathways and systemic toxicity of modulators are bottlenecks in clinical application of anti-FGFRs. In this review, we present FGF/FGFR structure and the mechanisms of its function, as well as cross-talks with other nodes and/or signaling pathways. We describe deregulation of FGF/FGFR-related mechanisms in human disease and tumor progression leading to the presentation of emerging therapeutic approaches, resistance to FGFR targeting, and clinical potentials of individual FGF family in several human cancers. Additionally, the underlying biological mechanisms of FGF/FGFR signaling, besides several attempts to develop predictive biomarkers and combination therapies for different cancers have been explored.


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