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      MiR-499a-5p promotes 5-FU resistance and the cell proliferation and migration through activating PI3K/Akt signaling by targeting PTEN in pancreatic cancer

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          Abstract

          Background

          Pancreatic cancer (PC) can be considered a representative cancer type of the human body. As demonstrated by some studies, microRNA (miR)-499 is dysregulated in various cancer types including PC, for which chemotherapy involving 5-fluorouracil (5-FU) has long been considered the first-line therapy. However, there are complex and comprehensive mechanisms related to 5-FU, which have not been fully elucidated. This study thus aimed to examine the molecular mechanisms of 5-FU resistance through miR-499a-5p in PC.

          Methods

          The expression of miR-499a-5p in PC was measured using quantitative polymerase chain reaction (PCR). MiR-499a-5p was examined in-vivo for its effects on the malignant phenotypes of PC cells.

          Results

          The results of the present study demonstrated miR-499a-5p to be upregulated in PC and 5-FU resistant PC tissues. According to in vitro assays in PC cells (PANC1/FR), miR-499a-5p was found to affect adenosine triphosphate (ATP) binding cassette subfamily B member 1 (P-gp), ATP binding cassette subfamily C member 1 (MRP1), and ATP binding cassette subfamily G member 2 (BCRP), thereby facilitating 5-FU resistance in PC cells. Functions assays indicated that suppressed miR-499a-5p expression inhibited the proliferation and migration of cells but facilitated apoptosis in the PC cell line; by contrast, miR-499a-5p overexpression triggered the inverse phenotypic changes of cells. Concerning the mechanisms involved, miR-499a-5p increased PI3K/Akt signaling by targeting phosphatase and tensin homolog (PTEN).

          Conclusions

          Taken together, these findings demonstrate that miR-499a-5p can be potentially applied to PC therapy.

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          Most cited references33

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          Cancer statistics, 2019

          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 cancer incidence, mortality, and survival. Incidence data, available through 2015, 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, available through 2016, were collected by the National Center for Health Statistics. In 2019, 1,762,450 new cancer cases and 606,880 cancer deaths are projected to occur in the United States. Over the past decade of data, the cancer incidence rate (2006-2015) was stable in women and declined by approximately 2% per year in men, whereas the cancer death rate (2007-2016) declined annually by 1.4% and 1.8%, respectively. The overall cancer death rate dropped continuously from 1991 to 2016 by a total of 27%, translating into approximately 2,629,200 fewer cancer deaths than would have been expected if death rates had remained at their peak. Although the racial gap in cancer mortality is slowly narrowing, socioeconomic inequalities are widening, with the most notable gaps for the most preventable cancers. For example, compared with the most affluent counties, mortality rates in the poorest counties were 2-fold higher for cervical cancer and 40% higher for male lung and liver cancers during 2012-2016. Some states are home to both the wealthiest and the poorest counties, suggesting the opportunity for more equitable dissemination of effective cancer prevention, early detection, and treatment strategies. A broader application of existing cancer control knowledge with an emphasis on disadvantaged groups would undoubtedly accelerate progress against cancer.
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            Analyzing real-time PCR data by the comparative C(T) method.

            Two different methods of presenting quantitative gene expression exist: absolute and relative quantification. Absolute quantification calculates the copy number of the gene usually by relating the PCR signal to a standard curve. Relative gene expression presents the data of the gene of interest relative to some calibrator or internal control gene. A widely used method to present relative gene expression is the comparative C(T) method also referred to as the 2 (-DeltaDeltaC(T)) method. This protocol provides an overview of the comparative C(T) method for quantitative gene expression studies. Also presented here are various examples to present quantitative gene expression data using this method.
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              Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008.

              Estimates of the worldwide incidence and mortality from 27 cancers in 2008 have been prepared for 182 countries as part of the GLOBOCAN series published by the International Agency for Research on Cancer. In this article, we present the results for 20 world regions, summarizing the global patterns for the eight most common cancers. Overall, an estimated 12.7 million new cancer cases and 7.6 million cancer deaths occur in 2008, with 56% of new cancer cases and 63% of the cancer deaths occurring in the less developed regions of the world. The most commonly diagnosed cancers worldwide are lung (1.61 million, 12.7% of the total), breast (1.38 million, 10.9%) and colorectal cancers (1.23 million, 9.7%). The most common causes of cancer death are lung cancer (1.38 million, 18.2% of the total), stomach cancer (738,000 deaths, 9.7%) and liver cancer (696,000 deaths, 9.2%). Cancer is neither rare anywhere in the world, nor mainly confined to high-resource countries. Striking differences in the patterns of cancer from region to region are observed. Copyright © 2010 UICC.
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                Author and article information

                Journal
                Ann Transl Med
                Ann Transl Med
                ATM
                Annals of Translational Medicine
                AME Publishing Company
                2305-5839
                2305-5847
                December 2021
                December 2021
                : 9
                : 24
                : 1798
                Affiliations
                [1 ]deptDepartment of General Surgery, Changhai Hospital , Second Military Medical University , Shanghai, China;
                [2 ]deptDepartment of Hepatobiliary Surgery , General Hospital of Southern Theatre Command , Guangzhou, China;
                [3 ]deptDepartment of General Surgery , General Hospital of Southern Theatre Command , Guangzhou, China;
                [4 ]deptDepartment of Radiation Oncology , General Hospital of Southern Theatre Command , Guangzhou, China;
                [5 ]deptDepartment of Hepatic Surgery & Interventional Radiology, Eastern Hepatobiliary Surgery Hospital , Second Military Medical University , Shanghai, China;
                [6 ]deptDepartment of Reproductive Heredity Center, Changhai Hospital , Second Military Medical University , Shanghai, China;
                [7 ]deptThird Department of Hepatic Surgery, Eastern Hepatobiliary Surgery Hospital , Second Military Medical University , Shanghai, China
                Author notes

                Contributions: (I) Conception and design: G Jin; (II) Administrative support: L Ouyang, RD Liu, DQ Lei, QC Shang; (III) Provision of study materials or patients: HF Li; (IV) Collection and assembly of data: L Ouyang; (V) Data analysis and interpretation: L Ouyang; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                [#]

                These authors contributed equally to this work.

                Correspondence to: Gang Jin. Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200438, China. Email: jingang@ 123456smmu.edu.cn ; Xian-Gui Hu. Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai 200438, China. Email: xianguihu@ 123456yahoo.com.cn ; Hao Zheng. Department of Reproductive Heredity Center, Changhai Hospital, Second Military Medical University, Shanghai 200438, China. Email: littlestare180710@ 123456126.com .
                Article
                atm-09-24-1798
                10.21037/atm-21-6556
                8756217
                35071492
                5d8f21d2-2ee5-4024-b01a-9e52146a6741
                2021 Annals of Translational Medicine. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 24 November 2021
                : 22 December 2021
                Categories
                Original Article

                mirna-499a-5p,proliferation,pancreatic cancer (pc),pi3k/akt,5-fluorouracil resistance (5-fu resistance)

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