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Tumor loss-of-function mutations in STK11/LKB1 induce cachexia
Puneeth Iyengar, … , John D. Minna, Rodney E. Infante
Puneeth Iyengar, … , John D. Minna, Rodney E. Infante
Published April 24, 2023
Citation Information: JCI Insight. 2023;8(8):e165419. https://doi.org/10.1172/jci.insight.165419.
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Research Article Metabolism Oncology

Tumor loss-of-function mutations in STK11/LKB1 induce cachexia

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Abstract

Cancer cachexia (CC), a wasting syndrome of muscle and adipose tissue resulting in weight loss, is observed in 50% of patients with solid tumors. Management of CC is limited by the absence of biomarkers and knowledge of molecules that drive its phenotype. To identify such molecules, we injected 54 human non–small cell lung cancer (NSCLC) lines into immunodeficient mice, 17 of which produced an unambiguous phenotype of cachexia or non-cachexia. Whole-exome sequencing revealed that 8 of 10 cachexia lines, but none of the non-cachexia lines, possessed mutations in serine/threonine kinase 11 (STK11/LKB1), a regulator of nutrient sensor AMPK. Silencing of STK11/LKB1 in human NSCLC and murine colorectal carcinoma lines conferred a cachexia phenotype after cell transplantation into immunodeficient (human NSCLC) and immunocompetent (murine colorectal carcinoma) models. This host wasting was associated with an alteration in the immune cell repertoire of the tumor microenvironments that led to increases in local mRNA expression and serum levels of CC-associated cytokines. Mutational analysis of circulating tumor DNA from patients with NSCLC identified 89% concordance between STK11/LKB1 mutations and weight loss at cancer diagnosis. The current data provide evidence that tumor STK11/LKB1 loss of function is a driver of CC, simultaneously serving as a genetic biomarker for this wasting syndrome.

Authors

Puneeth Iyengar, Aakash Y. Gandhi, Jorge Granados, Tong Guo, Arun Gupta, Jinhai Yu, Ernesto M. Llano, Faya Zhang, Ang Gao, Asha Kandathil, Dorothy Williams, Boning Gao, Luc Girard, Venkat S. Malladi, John M. Shelton, Bret M. Evers, Raquibul Hannan, Chul Ahn, John D. Minna, Rodney E. Infante

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Figure 6

Gene variant analysis of ctDNA from human patients with NSCLC.

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Gene variant analysis of ctDNA from human patients with NSCLC.
(A) Schem...
(A) Schema for validation of Guardant gene variant association with NSCLC-associated weight loss at patient cancer diagnosis. (B) Overall survival comparison of the 246 patients with NSCLC dichotomized by no weight loss or weight loss at diagnosis. (C) Number of tumor cell gene variants (74 genes evaluated) for each of the 246 NSCLC patients. (D) Odds ratio for enrichment of gene variants in cancer-associated weight loss patients with NSCLC. (E) Incidence of cancer-associated weight loss at diagnosis for genes with variants in ≥10 patients. (F and G) Overall survival curve of NSCLC patients grouped by STK11/LKB1 variant status (F) or both STK11/LKB1 and cancer-associated weight loss status (G). (H) Schematic of STK11/LBK1 variants found in NSCLC patient ctDNA colored by non–cancer-associated (black) or cancer-associated weight loss (red). **P < 0.01 or P calculated by log-rank tests (B, F, and G), unpaired 2-tailed t test (C), odds ratio z score with Bonferroni adjustment (D), or χ2 test with Bonferroni adjustment (E).

Copyright © 2023 American Society for Clinical Investigation
ISSN 2379-3708

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