Overview

Gene Location [1]
19p13.3
Variant Type
Loss
Gene
STK11

STK11 Loss is present in 0.31% of AACR GENIE cases, with lung adenocarcinoma, high grade ovarian serous adenocarcinoma, breast invasive ductal carcinoma, uterine corpus carcinosarcoma, and pancreatic adenocarcinoma having the greatest prevalence [4].

Top Disease Cases with STK11 Loss

Significance of STK11 Loss in Diseases

Malignant Solid Tumor +

Prostate Adenocarcinoma +

Non-Small Cell Lung Carcinoma +

Prostate Carcinoma +

Ovarian Carcinoma +

Breast Carcinoma +

Colorectal Carcinoma +

Cervical Carcinoma +

Endometrial Carcinoma +

Primary Peritoneal Carcinoma +

Head And Neck Squamous Cell Carcinoma +

Adenocarcinoma Of The Gastroesophageal Junction +

Pancreatic Carcinoma +

Non-Hodgkin Lymphoma +

Urothelial Carcinoma +

Fallopian Tube Carcinoma +

Penile Carcinoma +

Anal Carcinoma +

High Grade Ovarian Serous Adenocarcinoma +

Malignant Ovarian Epithelial Tumor +

Mature T-Cell And NK-Cell Non-Hodgkin Lymphoma +

Small Cell Lung Carcinoma +

Soft Tissue Sarcoma +

Lung Adenocarcinoma +

Esophageal Carcinoma +

Melanoma +

Cancer +

Malignant Esophagogastric Neoplasm +

Bladder Urothelial Carcinoma +

Thyroid Gland Carcinoma +

Bladder Carcinoma +

Gastric Carcinoma +

Malignant Gastric Neoplasm +

Pancreatic Adenocarcinoma +

Squamous Cell Lung Carcinoma +

Renal Cell Carcinoma +

Malignant Intestinal Neoplasm +

Ampulla Of Vater Carcinoma +

B-Cell Non-Hodgkin Lymphoma +

Cholangiocarcinoma +

Diffuse Large B-Cell Lymphoma +

Gastrointestinal Stromal Tumor +

Malignant Small Intestinal Neoplasm +

Mantle Cell Lymphoma +

Multiple Myeloma +

Vaginal Carcinoma +

Vulvar Carcinoma +

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.