Overview

Gene Location [1]
5p13.1
Pathway
PI3K/AKT1/MTOR
Gene
RICTOR

RICTOR Mutation is present in 1.69% of AACR GENIE cases, with colon adenocarcinoma, lung adenocarcinoma, endometrial endometrioid adenocarcinoma, breast invasive ductal carcinoma, and cutaneous melanoma having the greatest prevalence [4].

Top Disease Cases with RICTOR Mutation

Significance of RICTOR Mutation in Diseases

Malignant Solid Tumor +

Breast Carcinoma +

Colorectal Carcinoma +

Non-Small Cell Lung Carcinoma +

Non-Hodgkin Lymphoma +

Melanoma +

Squamous Cell Lung Carcinoma +

Head And Neck Squamous Cell Carcinoma +

Hepatocellular Carcinoma +

Renal Cell Carcinoma +

Endometrial Carcinoma +

Urothelial Carcinoma +

Gastric Adenocarcinoma +

Small Cell Lung Carcinoma +

Cancer +

Liposarcoma +

Ovarian Carcinoma +

Chondrosarcoma +

Prostate Carcinoma +

Pancreatic Carcinoma +

Hematologic And Lymphocytic Disorder +

Osteosarcoma +

Hematopoietic And Lymphoid Malignancy +

Thyroid Gland Carcinoma +

Hematopoietic And Lymphoid System Neoplasm +

Undifferentiated Pleomorphic Sarcoma +

Myeloid Neoplasm +

Aggressive Systemic Mastocytosis +

Classical Hodgkin Lymphoma +

Desmoid-Type Fibromatosis +

Ewing Sarcoma +

Histiocytic And Dendritic Cell Neoplasm +

Mast Cell Leukemia +

Myelodysplastic Syndromes +

Pecoma +

Peritoneal Mesothelioma +

Systemic Mastocytosis With An Associated Hematological Neoplasm (SM-AHN) +

References

1. Hart R and Prlic A. Universal Transcript Archive Repository. Version uta_20180821. San Francisco CA: Github;2015. https://github.com/biocommons/uta

2. The UniProt Consortium. UniProt: a worldwide hub of protein knowledge. Nucleic Acids Research. 2019;47:D506-D515.

3. Liu X, Wu C, Li C, and Boerwinkle E. dbNSFP v3.0: A one-stop database of functional predictions and annotations for human nonsynonymous and splice site SNVs. Human Mutation. 2015;37:235-241.

Liu X, Jian X, and Boerwinkle E. dbNSFP: A lightweight database of human nonsynonymous SNPs and their functional predictions. Human Mutation. 2011;32:894-899.

4. The AACR Project GENIE Consortium. AACR Project GENIE: powering precision medicine through an international consortium. Cancer Discovery. 2017;7(8):818-831. Dataset Version 8. This dataset does not represent the totality of the genetic landscape; see paper for more information.

5. All assertions and clinical trial landscape data are curated from primary sources. You can read more about the curation process here.