Grant Number:	5R03CA256238-02 Interpret this number
Primary Investigator:	Luo, Juhua
Organization:	Trustees Of Indiana University
Project Title:	Sodium-Glucose Cotransporter 2 (SGLT2) Inhibitors and Lung Cancer Prognosis
Fiscal Year:	2022

Project Abstract Sodium-glucose cotransporter 2 (SGLT2) inhibitors are a relatively new class of antidiabetic drugs. The use of this class of drugs is on the rise. In addition to its benefits in treatment of type 2 diabetes, patients treated with SGLT-2 inhibitors are also observed to have fewer adverse cardiovascular and renal outcomes. Further, recently, laboratory studies indicate that SGLT2 inhibitors might also have cancer treatment benefits. However, population level epidemiological studies to investigate the role of SGLT-2 inhibitors on cancer prognosis have not been undertaken. Given that lung cancer is the leading cause of cancer death in both men and women in the US and SGLT2 inhibitors have been recently recognized as potent antioxidant agents, the objective of this study is to test the new hypothesis that SGLT2 inhibitors may be associated with favorable outcomes for patients with non-small cell lung cancer (NSCLC, the most common subtype of lung cancer). We propose to use the US Surveillance Epidemiology and End Results (SEER) database linked with Medicare claims data, a unique population-based source of information, to achieve our objective. We will focus on canagliflozin, the most widely prescribed SGLT2 inhibitor, covered by most Medicare and insurance plans, to assess the influence of canagliflozin on the prognosis of diabetes patients with NSCLC using an innovative instrumental variable analysis approach. We will first examine whether canagliflozin is associated with better NSCLC prognosis (including total mortality and lung-cancer specific mortality) relative to other types of diabetes pharmacologic treatments (Specific aim 1). Further, we will assess whether canagliflozin in combination with metformin (an oral drug widely used as a first-line therapy for type 2 diabetes) is related to better NSCLC prognosis as compared to either drug alone (Specific aim 2). We expect that if the analysis reveals an improved prognosis in patients with NSCLC treated with canagliflozin, this will inform the design of future clinical trials with the potential to yield a paradigm shift in the management of patients with lung cancer. The analyses and methods used for this study can be expanded in the future to a more comprehensive examination of other types of cancer in relation to canagliflozin and other SGLT2 Inhibitors.




Hysterectomy, oophorectomy and risk of non-Hodgkin's lymphoma.
Authors: Luo J. , Hendryx M. , Rohan T.E. , Saquib N. , Shadyab A.H. , Su L. , Hosgood D. , Schnatz P.F. , Qi L. , Anderson G.L. .
Source: International Journal Of Cancer, 2024-04-15 00:00:00.0; 154(8), p. 1433-1442.
EPub date: 2023-12-19 00:00:00.0.
PMID: 38112671
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Optimal objective measurement of physical function and its predictive capacity for mortality among community-dwelling older women.
Authors: Luo J. , Su L. , Carter S.J. , Ndeke J.M. , Hendryx M. .
Source: Geriatrics & Gerontology International, 2023-08-31 00:00:00.0; , .
EPub date: 2023-08-31 00:00:00.0.
PMID: 37650477
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Sodium-glucose cotransporter 2 (SGLT2) inhibitors and non-small cell lung cancer survival.
Authors: Luo J. , Hendryx M. , Dong Y. .
Source: British Journal Of Cancer, 2023-02-10 00:00:00.0; , .
EPub date: 2023-02-10 00:00:00.0.
PMID: 36765176
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Trajectories of objectively measured physical function among older breast cancer survivors in comparison with cancer-free controls.
Authors: Luo J. , Carter S.J. , Feliciano E.M.C. , Hendryx M. .
Source: Breast Cancer Research And Treatment, 2022-03-26 00:00:00.0; , .
EPub date: 2022-03-26 00:00:00.0.
PMID: 35347550
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Sodium-glucose cotransporter 2 (SGLT2) inhibitor initiation and hepatocellular carcinoma prognosis.
Authors: Hendryx M. , Dong Y. , Ndeke J.M. , Luo J. .
Source: Plos One, 2022; 17(9), p. e0274519.
EPub date: 2022-09-12 00:00:00.0.
PMID: 36094949
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Risk Patterns and Mortality in Postmenopausal Women Using Latent Class Analysis.
Authors: Luo J. , Dinh P. , Hendryx M. , Li W. , Robinson J. , Margolis K.L. .
Source: American Journal Of Preventive Medicine, 2021 Nov; 61(5), p. e225-e233.
EPub date: 2021-07-05 00:00:00.0.
PMID: 34686303
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