Overview

Significance of HLA-A*02:01 Positive in Diseases

Malignant Solid Tumor +

Non-Small Cell Lung Carcinoma +

Melanoma +

Multiple Myeloma +

Synovial Sarcoma +

Acute Myeloid Leukemia +

Cancer +

Myxoid Liposarcoma +

Ovarian Carcinoma +

Acute Biphenotypic Leukemia +

Acute Lymphoblastic Leukemia +

Anal Carcinoma +

Breast Carcinoma +

Cervical Carcinoma +

Head And Neck Squamous Cell Carcinoma +

Hepatocellular Carcinoma +

Malignant Thyroid Gland Neoplasm +

Oropharyngeal Carcinoma +

Penile Carcinoma +

Urothelial Carcinoma +

Vaginal Carcinoma +

Vulvar Carcinoma +

Acute Leukemia +

Astrocytoma +

Bone Sarcoma +

Chronic Lymphocytic Leukemia +

Chronic Myeloid Leukemia +

Esophageal Carcinoma +

Fallopian Tube Carcinoma +

Glioblastoma +

Hodgkin Lymphoma +

Hypopharyngeal Squamous Cell Carcinoma +

Laryngeal Squamous Cell Carcinoma +

Lymphoma +

Malignant Pleural Mesothelioma +

Meningioma +

Merkel Cell Carcinoma +

Mesothelioma +

Mixed Phenotype Acute Leukemia +

Myelodysplastic Syndromes +

Nasopharyngeal Squamous Cell Carcinoma +

Non-Hodgkin Lymphoma +

Oral Cavity Squamous Cell Carcinoma +

Oropharyngeal Squamous Cell Carcinoma +

Primary Peritoneal Carcinoma +

Refractory Anemia With Excess Blasts-1 +

Refractory Anemia With Excess Blasts-2 +

Round Cell Liposarcoma +

Soft Tissue Sarcoma +

Uveal Melanoma +

Vulvar High Grade Squamous Intraepithelial Lesion +

References

1. Hart R and Prlic A. Universal Transcript Archive Repository. Version uta_20170629. 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 4. 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.