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      Inhibition of mTOR signaling and clinical activity of metformin in oral premalignant lesions

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          Abstract

          BACKGROUND

          The aberrant activation of the PI3K/mTOR signaling circuitry is one of the most frequently dysregulated signaling events in head and neck squamous cell carcinoma (HNSCC). Here, we conducted a single-arm, open-label phase IIa clinical trial in individuals with oral premalignant lesions (OPLs) to explore the potential of metformin to target PI3K/mTOR signaling for HNSCC prevention.

          METHODS

          Individuals with OPLs, but who were otherwise healthy and without diabetes, underwent pretreatment and posttreatment clinical exam and biopsy. Participants received metformin for 12 weeks (week 1, 500 mg; week 2, 1000 mg; weeks 3–12, 2000 mg daily). Pretreatment and posttreatment biopsies, saliva, and blood were obtained for biomarker analysis, including IHC assessment of mTOR signaling and exome sequencing.

          RESULTS

          Twenty-three participants were evaluable for response. The clinical response rate (defined as a ≥50% reduction in lesion size) was 17%. Although lower than the proposed threshold for favorable clinical response, the histological response rate (improvement in histological grade) was 60%, including 17% complete responses and 43% partial responses. Logistic regression analysis revealed that when compared with never smokers, current and former smokers had statistically significantly increased histological responses ( P = 0.016). Remarkably, a significant correlation existed between decreased mTOR activity (pS6 IHC staining) in the basal epithelial layers of OPLs and the histological ( P = 0.04) and clinical ( P = 0.01) responses.

          CONCLUSION

          To our knowledge this is the first phase II trial of metformin in individuals with OPLs, providing evidence that metformin administration results in encouraging histological responses and mTOR pathway modulation, thus supporting its further investigation as a chemopreventive agent.

          TRIAL REGISTRATION

          NCT02581137

          FUNDING

          NIH contract HHSN261201200031I, grants R01DE026644 and R01DE026870

          Abstract

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          Most cited references48

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          Cancer statistics, 2020

          Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths that will occur in the United States and compiles the most recent data on population-based cancer occurrence. Incidence data (through 2016) were collected by the Surveillance, Epidemiology, and End Results Program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2017) were collected by the National Center for Health Statistics. In 2020, 1,806,590 new cancer cases and 606,520 cancer deaths are projected to occur in the United States. The cancer death rate rose until 1991, then fell continuously through 2017, resulting in an overall decline of 29% that translates into an estimated 2.9 million fewer cancer deaths than would have occurred if peak rates had persisted. This progress is driven by long-term declines in death rates for the 4 leading cancers (lung, colorectal, breast, prostate); however, over the past decade (2008-2017), reductions slowed for female breast and colorectal cancers, and halted for prostate cancer. In contrast, declines accelerated for lung cancer, from 3% annually during 2008 through 2013 to 5% during 2013 through 2017 in men and from 2% to almost 4% in women, spurring the largest ever single-year drop in overall cancer mortality of 2.2% from 2016 to 2017. Yet lung cancer still caused more deaths in 2017 than breast, prostate, colorectal, and brain cancers combined. Recent mortality declines were also dramatic for melanoma of the skin in the wake of US Food and Drug Administration approval of new therapies for metastatic disease, escalating to 7% annually during 2013 through 2017 from 1% during 2006 through 2010 in men and women aged 50 to 64 years and from 2% to 3% in those aged 20 to 49 years; annual declines of 5% to 6% in individuals aged 65 years and older are particularly striking because rates in this age group were increasing prior to 2013. It is also notable that long-term rapid increases in liver cancer mortality have attenuated in women and stabilized in men. In summary, slowing momentum for some cancers amenable to early detection is juxtaposed with notable gains for other common cancers.
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            Comprehensive genomic characterization of head and neck squamous cell carcinomas

            The Cancer Genome Atlas profiled 279 head and neck squamous cell carcinomas (HNSCCs) to provide a comprehensive landscape of somatic genomic alterations. We find that human papillomavirus-associated (HPV) tumors are dominated by helicase domain mutations of the oncogene PIK3CA, novel alterations involving loss of TRAF3, and amplification of the cell cycle gene E2F1. Smoking-related HNSCCs demonstrate near universal loss of TP53 mutations and CDKN2A with frequent copy number alterations including a novel amplification of 11q22. A subgroup of oral cavity tumors with favorable clinical outcomes displayed infrequent CNAs in conjunction with activating mutations of HRAS or PIK3CA, coupled with inactivating mutations of CASP8, NOTCH1 and wild-type TP53. Other distinct subgroups harbored novel loss of function alterations of the chromatin modifier NSD1, Wnt pathway genes AJUBA and FAT1, and activation of oxidative stress factor NFE2L2, mainly in laryngeal tumors. Therapeutic candidate alterations were identified in the majority of HNSCC's.
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              The insulin and insulin-like growth factor receptor family in neoplasia: an update.

              Although several early phase clinical trials raised enthusiasm for the use of insulin-like growth factor I receptor (IGF1R)-specific antibodies for cancer treatment, initial Phase III results in unselected patients have been disappointing. Further clinical studies may benefit from the use of predictive biomarkers to identify probable responders, the use of rational combination therapies and the consideration of alternative targeting strategies, such as ligand-specific antibodies and receptor-specific tyrosine kinase inhibitors. Targeting insulin and IGF signalling also needs to be considered in the broader context of the pathophysiology that relates obesity and diabetes to neoplasia, and the effects of anti-diabetic drugs, including metformin, on cancer risk and prognosis. The insulin and IGFI receptor family is also relevant to the development of PI3K-AKT pathway inhibitors.
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                Author and article information

                Contributors
                Journal
                JCI Insight
                JCI Insight
                JCI Insight
                JCI Insight
                American Society for Clinical Investigation
                2379-3708
                8 September 2021
                8 September 2021
                8 September 2021
                : 6
                : 17
                : e147096
                Affiliations
                [1 ]Moores Cancer Center, University of California, San Diego (UCSD), La Jolla, California, USA.
                [2 ]Department of Pharmacology, UCSD School of Medicine, La Jolla, California, USA.
                [3 ]Bioinformatics and Systems Biology Graduate Program, UCSD, La Jolla, California, USA.
                [4 ]Division of Biomedical Informatics, Department of Medicine, UCSD School of Medicine, La Jolla, California, USA.
                [5 ]Department of Otolaryngology, Head and Neck Surgery, University of Minnesota (UMN), Minneapolis, Minnesota, USA.
                [6 ]Department of Oral Biological and Medical Sciences, Faculty of Dentistry, University of British Columbia, Vancouver, British Columbia, Canada.
                [7 ]British Columbia Cancer Agency (BCCA), British Columbia Agency Research Center, Vancouver, British Columbia, Canada.
                [8 ]University of Arizona Cancer Center, Tucson, Arizona, USA.
                [9 ]Division of Cancer Prevention and
                [10 ]Center for Cancer Research, NCI, Bethesda, Maryland, USA.
                Author notes
                Address correspondence to: J. Silvio Gutkind, Moores Cancer Center, University of California, San Diego, 3855 Health Sciences Drive, Room 2344, La Jolla, California 92093, USA. Phone: 858.534.5980; Email: sgutkind@ 123456ucsd.edu . Or to: Eva Szabo, Division of Cancer Prevention, National Cancer Institute, 9609 Medical Center Drive, Room 5E102, MSC 9781, Bethesda, Maryland 20892, USA. Phone: 240.276.7011; Email: szaboe@ 123456mail.nih.gov .
                Author information
                http://orcid.org/0000-0002-5150-4482
                http://orcid.org/0000-0002-3574-6078
                http://orcid.org/0000-0002-8098-9888
                http://orcid.org/0000-0003-3596-4515
                http://orcid.org/0000-0002-2583-9043
                http://orcid.org/0000-0002-7258-3837
                http://orcid.org/0000-0001-8283-1788
                Article
                147096
                10.1172/jci.insight.147096
                8492350
                34255745
                199c4ff8-6eee-45c0-b4d2-092ddcb7c9be
                © 2021 Gutkind et al.

                This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 December 2020
                : 7 July 2021
                Funding
                Funded by: National Cancer Institute (NCI)
                Award ID: HHSN261201200031I
                Funded by: NIDCR
                Award ID: R01DE026644
                Funded by: NIDCR
                Award ID: R01DE026870
                Categories
                Clinical Medicine

                clinical trials,head and neck cancer,signal transduction

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