Evaluation of liver kinase B1 downstream signaling expression in various breast cancers and relapse free survival after systemic chemotherapy treatment.

LKB1 STK11 breast cancer patient prognosis triple negative breast cancer

Journal

Oncotarget
ISSN: 1949-2553
Titre abrégé: Oncotarget
Pays: United States
ID NLM: 101532965

Informations de publication

Date de publication:
25 May 2021
Historique:
received: 08 10 2020
accepted: 15 03 2021
entrez: 4 6 2021
pubmed: 5 6 2021
medline: 5 6 2021
Statut: epublish

Résumé

LKB1-signaling has prominent roles in cancer development and metastasis. This report evaluates LKB1-signaling pathway gene expression associations with patient survival in overall breast cancer, specific subtypes, as well as pre- and post-chemotherapy. Subtypes analyzed were based on intrinsic molecular subtyping and traditional biomarker classifications. Intrinsic molecular subtypes included were Luminal-A, Luminal-B, HER2-enriched, and Basal-like. The biomarker subtypes assessed were Estrogen-Receptor Positive (ER+) and Negative (ER-), Wild-Type TP53 (WT-TP53) & Mutant-TP53, and Triple-Negative Breast Cancer (TNBC). Additionally, comparisons were made between these subtypes and breast cancer overall, and analyses between LKB1 signaling to patient survival before and after chemotherapy were made. We used the Kaplan-Meier Online Tool (KM Plotter) to correlate the relationship between mRNA expression of known LKB1 scaffolding proteins (CAB39 and LYK5), and downstream signaling targets (AMPK, MARK1, MARK2, MARK3, MARK4, NUAK1, NUAK2, PAK1, SIK1, SIK2, BRSK1, BRSK2, SNRK, and QSK), and patient survival across each subtype and treatment group. Our findings provide evidence that LKB1-signaling is associated with improved survival in overall breast cancer. Stratification into breast cancer subtypes show a more complicated relationship; NUAK2, for example, is correlated with improved survival in ER- but is worse in ER+ breast cancer. In evaluating the association of LKB1-signaling pathway expression with relapse free survival of varying breast cancer tumors exposed to chemotherapy or treatment-naive tumors, our data provides baseline knowledge for understanding the pathway dynamics that affect survival and therefore are linked to pathology. This establishes a foundation for studying LKB1 targets with the goal of identifying druggable targets.

Identifiants

pubmed: 34084284
doi: 10.18632/oncotarget.27929
pii: 27929
pmc: PMC8169068
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1110-1115

Subventions

Organisme : NCI NIH HHS
ID : R01 CA174785
Pays : United States
Organisme : NCATS NIH HHS
ID : TL1 TR003106
Pays : United States

Informations de copyright

Copyright: © 2021 Nguyen et al.

Déclaration de conflit d'intérêts

CONFLICTS OF INTEREST Authors have no conflicts of interest to declare.

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Auteurs

Khoa Nguyen (K)

Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.
These authors contributed equally to this work & are co-first authors.

Andrew Rivera (A)

Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.
These authors contributed equally to this work & are co-first authors.

Madlin Alzoubi (M)

Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.

Henri Wathieu (H)

Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.

Shengli Dong (S)

Department of Biochemistry and Molecular Biology, LSUHSC School of Medicine, New Orleans, LA, USA.

Hassan Yousefi (H)

Department of Biochemistry and Molecular Biology, LSUHSC School of Medicine, New Orleans, LA, USA.

Margarite Matossian (M)

Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.

Suresh Alahari (S)

Department of Biochemistry and Molecular Biology, LSUHSC School of Medicine, New Orleans, LA, USA.

David Drewry (D)

UNC Eshelman School of Pharmacy, Chapel Hill, NC, USA.

Matthew Burow (M)

Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.

Bridgette Collins-Burow (B)

Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.

Classifications MeSH