Long non-coding RNA GATA6-AS1 upregulates GATA6 to regulate the biological behaviors of lung adenocarcinoma cells

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Abstract

Background

Lung adenocarcinoma (LUAD) is known to be one of the leading causes of cancer-related deaths globally. In recent decades, long non-coding RNAs (lncRNAs) have been indicated to exert pivotal regulating functions in multiple biological behaviors in the initiation and development of LUAD. However, the functional mechanism of lncRNA GATA binding protein 6 antisense RNA 1 (GATA6-AS1) in LUAD has not been explored.

Methods

In the current study, GATA6-AS1 expression in LUAD tissues was revealed. Meanwhile, GATA6-AS1 expression in LUAD cells was investigated via RT-qPCR analysis. After A549 and H1975 cells were transfected with GATA6-AS1 overexpression plasmids, EdU and colony formation assays, TUNEL assays and flow cytometry analyses, as well as wound healing and Transwell assays were conducted to detect cell proliferation, apoptosis, migration and invasion. Afterwards, bioinformatic tools, western blot analyses, dual-luciferase reporter assays, and RNA immunoprecipitation (RIP) assays were performed to investigate the correlation of microRNA-4530 (miR-4530), GATA6-AS1 and GATA6.

Results

We found that GATA6-AS1 expression was low-expressed in LUAD tissues and cells. Furthermore, the upregulation of GATA6-AS1 suppressed the proliferative, migration and invasion abilities, as well as promoted apoptotic rate of A549 and H1975 cells. Moreover, the mechanistic investigations revealed that GATA6-AS1 upregulated the expression of its cognate sense gene GATA6 by binding with miR-4530, thereby modulating the malignant progression of LUAD cells.

Conclusions

GATA6-AS1 repressed LUAD cell proliferation, migration and invasion, and promoted cell apoptosis via regulation of the miR-4530/GATA6 axis, indicating GATA6-AS1 as a new prognostic biomarker for LUAD.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12890-021-01521-7.

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Most cited references 48

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Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Kenneth Livak, Thomas D. Schmittgen (2001)

The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).

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Cancer statistics, 2020

Rebecca Siegel, Kimberly D Miller, Ahmedin Jemal (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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Cancer statistics in China, 2015.

Wanqing Chen, Rongshou Zheng, Peter D Baade … (2016)

With increasing incidence and mortality, cancer is the leading cause of death in China and is a major public health problem. Because of China's massive population (1.37 billion), previous national incidence and mortality estimates have been limited to small samples of the population using data from the 1990s or based on a specific year. With high-quality data from an additional number of population-based registries now available through the National Central Cancer Registry of China, the authors analyzed data from 72 local, population-based cancer registries (2009-2011), representing 6.5% of the population, to estimate the number of new cases and cancer deaths for 2015. Data from 22 registries were used for trend analyses (2000-2011). The results indicated that an estimated 4292,000 new cancer cases and 2814,000 cancer deaths would occur in China in 2015, with lung cancer being the most common incident cancer and the leading cause of cancer death. Stomach, esophageal, and liver cancers were also commonly diagnosed and were identified as leading causes of cancer death. Residents of rural areas had significantly higher age-standardized (Segi population) incidence and mortality rates for all cancers combined than urban residents (213.6 per 100,000 vs 191.5 per 100,000 for incidence; 149.0 per 100,000 vs 109.5 per 100,000 for mortality, respectively). For all cancers combined, the incidence rates were stable during 2000 through 2011 for males (+0.2% per year; P = .1), whereas they increased significantly (+2.2% per year; P < .05) among females. In contrast, the mortality rates since 2006 have decreased significantly for both males (-1.4% per year; P < .05) and females (-1.1% per year; P < .05). Many of the estimated cancer cases and deaths can be prevented through reducing the prevalence of risk factors, while increasing the effectiveness of clinical care delivery, particularly for those living in rural areas and in disadvantaged populations.

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Author and article information

Contributors

Jing Zhang: zj2684@hotmail.com

Journal

Journal ID (nlm-ta): BMC Pulm Med

Journal ID (iso-abbrev): BMC Pulm Med

Title: BMC Pulmonary Medicine

Publisher: BioMed Central (London )

ISSN (Electronic): 1471-2466

Publication date (Electronic): 15 May 2021

Publication date PMC-release: 15 May 2021

Publication date Collection: 2021

Volume: 21

Electronic Location Identifier: 166

Affiliations

GRID grid.415912.a, ISNI 0000 0004 4903 149X, Department of Oncology, , Liaocheng People’s Hospital, ; 67 Dongchang West Road, Liaocheng, 252000 Shandong China

Article

Publisher ID: 1521

DOI: 10.1186/s12890-021-01521-7

PMC ID: 8126172

PubMed ID: 33992085

SO-VID: 267587e3-19c2-4866-83f6-4477a51a4923

License:

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

History

Date received : 17 February 2021

Date accepted : 29 April 2021

Custom metadata

ScienceOpen disciplines: Respiratory medicine

Keywords: gata6-as1,mir-4530,gata6,lung adenocarcinoma

Data availability:

ScienceOpen disciplines: Respiratory medicine

Keywords: gata6-as1, mir-4530, gata6, lung adenocarcinoma

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Long non-coding RNA GATA6-AS1 upregulates GATA6 to regulate the biological behaviors of lung adenocarcinoma cells

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Abstract

Background

Methods

Results

Conclusions

Supplementary Information

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Inflamed lung in vitro co-culture models

Most cited references 48

Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Cancer statistics, 2020

Cancer statistics in China, 2015.

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Cited by 4

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