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Immunohistochemical Loss of LKB1 Is a Biomarker for More Aggressive Biology in KRAS -Mutant Lung Adenocarcinoma
Published version of a preprint
Abstract
Purpose: LKB1 loss is common in lung cancer, but no assay exists to efficiently evaluate the presence or absence of LKB1. We validated an IHC assay for LKB1 loss and determined the impact of LKB1 loss in KRAS-mutant non–small cell lung cancer (NSCLC). Experimental Design: We optimized and validated an IHC assay for LKB1 (clone Ley37D/G6) using a panel of lung cancer cell lines and tumors with known LKB1 mutations, including 2 patients with Peutz–Jeghers syndrome (PJS) who developed lung adenocarcinoma. We retrospectively analyzed tumors for LKB1 using IHC from 154 KRAS-mutant NSCLC patients, including 123 smokers and 31 never-smokers, and correlated the findings with patient and tumor characteristics and clinical outcome. Results: LKB1 expression was lost by IHC in 30% of KRAS-mutant NSCLC (smokers 35% vs. never-smokers 13%, P = 0.017). LKB1 loss did not correlate with a specific KRAS mutation but was more frequent in tumors with KRAS transversion mutations (P = 0.029). KRAS-mutant NSCLC patients with concurrent LKB1 loss had a higher number of metastatic sites at the time of diagnosis (median 2.5 vs. 2, P = 0.01), higher incidence of extrathoracic metastases (P = 0.01), and developed brain metastasis more frequently (48% vs. 25%, P = 0.02). There was a nonsignificant trend to worse survival in stage IV KRAS-mutant NSCLC patients with LKB1 loss. Conclusions: LKB1 IHC is a reliable and efficient assay to evaluate for loss of LKB1 in clinical samples of NSCLC. LKB1 loss is more common in smokers, and is associated with a more aggressive clinical phenotype in KRAS-mutant NSCLC patients, accordingly to preclinical models. Clin Cancer Res; 21(12); 2851–60. ©2015 AACR.
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“Of note, LKB1 loss is prevalent in KRAS mutant lung cancers46, indicating that oncogenic KRAS not only induces mTOR activity, but might also upregulate one-carbon metabolism by undermining AMPK’s inhibitory role in the folate cycle.”
From The metabolic landscape of RAS-driven cancers from biology to therapy (2021) · cites this paper as [46]
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A subset of VEGFR‐TKIs activates AMPK in LKB1 ‐mutant lung cancer
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Metadata
- Authors
- Calles, A., Sholl, L. M., Rodig, S. J., Pelton, A. K., Hornick, J. L., Butaney, M., Lydon, C., Dahlberg, S. E., Oxnard, G. R., Jackman, D. M., & Jänne, P. A.
- Affiliations
- Dana-Farber Cancer Institute (US)
- Brigham and Women's Hospital (US)
- 1Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
- ORCID
- Venue
- Clinical Cancer Research
- Published
- 2015-06-14
- Volume
- 21
- Issue
- 12
- Pages
- 2851-2860
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- OpenAlex
- W2129277646
- Cited by
- 115
- References
- 50
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 7 · 2023: 9 · 2022: 14 · 2021: 16 · 2020: 12 · 2019: 11 · 2018: 10 · 2017: 6 · 2016: 13 · 2015: 3
- FWCI
- 8.45
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Oncology › Lung Cancer Research Studies
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Keywords
- LKB1 loss, KRAS-mutant non-small cell lung cancer, lung adenocarcinoma, Peutz-Jeghers syndrome, smoking, metastasis, brain metastases, prognostic factors, tumor aggressiveness
- MeSH terms
- Adenocarcinoma of Lung, AMP-Activated Protein Kinase Kinases, Adenocarcinoma, Adult, Aged, Aged, 80 and over, Carcinoma, Non-Small-Cell Lung, Female, Genotype, Humans, Immunohistochemistry, Lung Neoplasms, Male, Middle Aged, Mutation, Neoplasm Metastasis, Neoplasm Staging, Prognosis, Retrospective Studies, Risk Factors, Biomarkers, Proto-Oncogene Proteins p21(ras), Protein Serine-Threonine Kinases, Disease Progression, Cell Line, Tumor, Kaplan-Meier Estimate, Young Adult, High-Throughput Nucleotide Sequencing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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