Renal and Adrenal cancer: Clinical Course, Nanomedicine, Relapse and Optimal Management of Adrenal Metastases using Artificial Intelligence and Virtual Reality methods

Advanced renal cancer poses a life threat. Most likely it represents a renal cell carcinoma, metastasis and adrenal gland metastasis with direct clinical course. The renal metastases may pose resistance to immunotherapy with only option of local therapy and surgery left. Molecular profiling, next-generation sequencing, tumor mutation burden testing of PBRM1, SETD2 and VHL mutations, genomic BAP1, PD-L1 profiling and apoptosis biomarkers characterize the renal and adrenal metastases; 2. Artificial intelligence algorithms for better tumor classification and monitoring treatment response after chemotherapy, radiation and surgery interventions. New therapeutic genomic agents and nanochemoprevention are more effective theranostic options. In more advanced therapeutic resistant lesions, ablation therapy is choice after immunotherapy of both renal and adrenal metastases either relapse or remained residual disease. Management with local therapy, interleukin-2 therapy in relapsed lesions, immune-check point inhibitor therapy and antivascular therapy may induce durable remissions. Artificial intelligence, virtual reality and robotic methods are emerging.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-09
DOI
https://doi.org/10.5281/zenodo.18922968
Primary Topic
Renal cell carcinoma treatment
Type
article
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article

Renal and Adrenal cancer: Clinical Course, Nanomedicine, Relapse and Optimal Management of Adrenal Metastases using Artificial Intelligence and Virtual Reality methods

Rakesh Sharma
Zenodo (CERN European Organization for Nuclear Research)
Renal cell carcinoma treatment
article

Renal and Adrenal cancer: Clinical Course, Nanomedicine, Relapse and Optimal Management of Adrenal Metastases using Artificial Intelligence and Virtual Reality methods

Rakesh Sharma
article en

Abstract

Advanced renal cancer poses a life threat. Most likely it represents a renal cell carcinoma, metastasis and adrenal gland metastasis with direct clinical course. The renal metastases may pose resistance to immunotherapy with only option of local therapy and surgery left. Molecular profiling, next-generation sequencing, tumor mutation burden testing of PBRM1, SETD2 and VHL mutations, genomic BAP1, PD-L1 profiling and apoptosis biomarkers characterize the renal and adrenal metastases; 2. Artificial intelligence algorithms for better tumor classification and monitoring treatment response after chemotherapy, radiation and surgery interventions. New therapeutic genomic agents and nanochemoprevention are more effective theranostic options. In more advanced therapeutic resistant lesions, ablation therapy is choice after immunotherapy of both renal and adrenal metastases either relapse or remained residual disease. Management with local therapy, interleukin-2 therapy in relapsed lesions, immune-check point inhibitor therapy and antivascular therapy may induce durable remissions. Artificial intelligence, virtual reality and robotic methods are emerging.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 29%
Renal cell carcinoma treatment
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Renal and Adrenal cancer: Clinical Course, Nanomedicine, Relapse and Optimal Management of Adrenal Metastases using Artificial Intelligence and Virtual Reality methods — Rakesh Sharma · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS