Literature DB >> 30992569

Towards individualized therapy for metastatic renal cell carcinoma.

Ritesh R Kotecha1, Robert J Motzer1, Martin H Voss2.   

Abstract

Over the past decade, the treatment landscape for patients with metastatic renal cell carcinoma (RCC) has evolved dramatically. The therapeutic options available have expanded and now include immune-checkpoint inhibitors, novel targeted agents and combination strategies, and thus optimal patient selection and treatment sequencing are increasingly pertinent for optimizing clinical outcomes. A better understanding of the underlying biology of the tumour and its microenvironment continues to drive the inception of new diagnostic and therapeutic approaches. Furthermore, many biomarkers robustly associated with treatment and disease-specific outcomes have been identified, and their integration into clinical decision-making for patients with advanced-stage disease will soon become a reality. Herein, we review relevant aspects of the molecular biology of metastatic RCC, with an emphasis on predictive and prognostic biomarkers, and suggest tailored algorithms to individualize and guide treatment approaches for specific subgroups of patients.

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Year:  2019        PMID: 30992569     DOI: 10.1038/s41571-019-0209-1

Source DB:  PubMed          Journal:  Nat Rev Clin Oncol        ISSN: 1759-4774            Impact factor:   66.675


  59 in total

1.  Sequential treatment of metastatic renal cancer in a complex evolving landscape.

Authors:  Javier C Angulo; Charles H Lawrie; José I López
Journal:  Ann Transl Med       Date:  2019-12

Review 2.  The changing landscape of cancer in the USA - opportunities for advancing prevention and treatment.

Authors:  Farhad Islami; Rebecca L Siegel; Ahmedin Jemal
Journal:  Nat Rev Clin Oncol       Date:  2020-05-28       Impact factor: 66.675

3.  Soluble CD163: a novel independent prognostic biomarker in patients with metastatic renal cell carcinoma.

Authors:  Frede Donskov; Morten Nørgaard Andersen; Kasper Munch Lauridsen; Marianne Hokland; Sinan Al-Karradi; Holger Jon Møller
Journal:  Cancer Immunol Immunother       Date:  2022-08-11       Impact factor: 6.630

4.  Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes.

Authors:  Junyi Hu; Zhaohui Chen; Lin Bao; Lijie Zhou; Yaxin Hou; Lilong Liu; Ming Xiong; Yuhan Zhang; Bin Wang; Zhen Tao; Ke Chen
Journal:  Mol Ther       Date:  2020-04-29       Impact factor: 11.454

5.  Combining Immune Checkpoint and VEGFR Inhibition in Favorable Risk and Elderly Patients With Metastatic Renal Cell Carcinoma.

Authors:  Andreas Varkaris; Wenxin Xu; Roger B Davis; Brian Healy; David F McDermott
Journal:  Clin Genitourin Cancer       Date:  2019-12-05       Impact factor: 2.872

6.  SLAMF7 Signaling Reprograms T Cells toward Exhaustion in the Tumor Microenvironment.

Authors:  Patrick O'Connell; Sean Hyslop; Maja K Blake; Sarah Godbehere; Andrea Amalfitano; Yasser A Aldhamen
Journal:  J Immunol       Date:  2020-12-07       Impact factor: 5.422

7.  The platelet to lymphocyte ratio predicts overall survival better than the neutrophil to lymphocyte ratio in metastatic renal cell carcinoma

Authors:  Oktay Halit Aktepe; Gürkan Güner; Deniz Can Güven; Taha Koray Şahin; Fadime Sinem Ardıç; Deniz Yüce; Şuayib Yalçın; Mustafa Erman
Journal:  Turk J Med Sci       Date:  2021-04-30       Impact factor: 0.973

8.  MiR-103a-3p aggravates renal cell carcinoma by targeting TMEM33.

Authors:  Jingyu Zhang; Qingbo Lu; Haigang Pang; Min Zhang; Wenhai Wei
Journal:  Am J Transl Res       Date:  2021-11-15       Impact factor: 4.060

9.  Reconnaissance of tumor immune microenvironment spatial heterogeneity in metastatic renal cell carcinoma and correlation with immunotherapy response.

Authors:  A Hajiran; N Chakiryan; A M Aydin; L Zemp; J Nguyen; J M Laborde; J Chahoud; P E Spiess; S Zaman; S Falasiri; M Fournier; J K Teer; J Dhillon; S McCarthy; C Moran-Segura; E N Katende; W J Sexton; J M Koomen; J Mulé; Y Kim; B Manley
Journal:  Clin Exp Immunol       Date:  2021-02-09       Impact factor: 5.732

10.  A Risk Signature with Autophagy-Related Long Noncoding RNAs for Predicting the Prognosis of Clear Cell Renal Cell Carcinoma: Based on the TCGA Database and Bioinformatics.

Authors:  Yundong Xuan; Weihao Chen; Kan Liu; Yu Gao; Shidong Zuo; Baojun Wang; Xin Ma; Xu Zhang
Journal:  Dis Markers       Date:  2021-05-07       Impact factor: 3.434

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