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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Representative Results
  • Discussion
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Here, we show the procedures for FAM83A knockdown; the assays to detect its effects on proliferation, migration, and invasion of cervical cancer cells; and the sensitization of these cells to cisplatin. This study provides a promising target gene for cervical cancer and a reference for further drug research.

Abstract

The exploration of tumor target genes holds paramount importance for the prevention and treatment of cervical cancer. In this study, we outline the steps involved in the identification of a tumor target gene FAM83A in cervical cancer. First, the Cancer Genome Atlas dataset was employed to validate the expression and prognostic significance of FAM83A in women. A small interfering RNA (siRNA) was used for knockdown of the FAM83A gene in HeLa and C33a cells. Next, 5-ethynyl-2'-deoxyuridine (EdU) staining was conducted to determine the effects on the proliferation capabilities of the tumor cells. Wound healing and porous membrane insert assays were performed to evaluate tumor cell migration and invasion abilities.

Western blotting was used to quantify apoptosis-related protein levels. JC-1 staining was employed to evaluate mitochondrial function alterations. Furthermore, cisplatin (diaminedichloroplatinum, DDP) intervention was used to assess the therapeutic potential of the target gene. Flow cytometry and colony formation assays were conducted to further validate the anticancer characteristics of the gene. As a result, FAM83A knockdown was shown to inhibit the proliferation, migration, and invasion of cervical cancer cells and sensitize these cells to cisplatin. These comprehensive methodologies collectively validate FAM83A as a tumor-associated target gene, holding promise as a potential therapeutic target in the prevention and treatment of cervical cancer.

Introduction

Cervical cancer is a global concern as it is one of the leading types of gynecological malignancy worldwide and is the major cause of cancer-related mortality in women1. Radical surgery and chemoradiotherapy are associated with high cure rates at the primary stage. However, treatment outcomes for patients at the advanced stage of cervical cancer who develop metastatic disease are very unfavorable2. Therefore, it is crucial to further understand the biological mechanisms underlying the migration and invasion of cervical cancer cells and identify potential therapeutic targets for the prevention and treatment of this diseas....

Protocol

The study was completely in conformity with the publication guidelines provided by TCGA (https://cancergenome.nih.gov/publications/publicationguidelines). See the Table of Materials for details related to all materials, reagents, and instruments used in this protocol.

1. Data source and bioinformatics analysis

  1. Obtain RNA sequencing data from the Cancer Genome Atlas (TCGA) database (https://cancergenome.nih.gov) for cluster analysis. Use the GEPIA (http://.......

Representative Results

TCGA database analysis and PCR validation

From the TCGA database analysis, we conducted a comparative analysis of mRNA expression levels in 306 cervical cancer cell samples and 13 normal cell samples to investigate the differential expression of FAM83A. FAM83A was upregulated in cervical cancer, while its expression in normal cervical tissue was negligible (Figure 1A

Discussion

The investigation of tumor target genes is of utmost importance for both the prevention and treatment of cervical cancer. Understanding the specific genes that play a significant role in cervical cancer development and progression provides valuable insight into the underlying molecular mechanisms of the disease. Furthermore, identifying these target genes can lead to the development of novel therapeutic strategies and targeted therapies. In this study, we describe the use of TCGA dataset analysis to identify FAM83A <.......

Acknowledgements

This work was supported by the Jingzhou Science and Technology Bureau Foundation (no. 2020HC06).

....

Materials

NameCompanyCatalog NumberComments
Cells and Medium Formulation
C33aAmerican Type Culture Collection
HelaAmerican Type Culture Collection
Modified medium10% fetal bovine serum and + antibiotics (100 U/mL penicillin and 100 U/mL streptomycin)
Antibody Information
AKT4691, Cell Signaling Technology Inc.‘1:1,000
Bcl2 26593-1-AP, Proteintech Group, Inc‘1:1,000
Caspase 319677-1-AP, Proteintech Group, Inc‘1:2,000
cleaved-caspase3abs132005; Absin Bioscience Inc.‘1:1,000
Cytc10993-1-AP; Proteintech Group‘1:1,000
GAPDH 10494-1-AP, Proteintech Group, Inc.‘1:8,000
mTOR2983, Cell Signaling Technology Inc.‘1:1,000
PI3K4292, Cell Signaling Technology Inc‘1:1,000
p-AKT 4060, Cell Signaling Technology Inc.‘1:1,000
p-mTOR (Ser2448)#5536, Cell Signaling Technology Inc.‘1:1,000
p-PI3K p85 subunit17366, Cell Signaling Technology Inc.‘1:1,000
Secondary antibodiesGB23303, Servicebio‘1:2,000
Materials
6-well plateCorning, NPY
Alexa Fluor 555Beyotime
BCA Protein assay kit Beyotime, China P0011
ChemiDoc XRS Imager System BioRad
Enhanced chemiluminescence detection kit Servicebio, Inc.,Chinacat. no. G2014
Fluorescence microscope Olympus Corporation, Tokyo, Japan
Hifair II 1st Strand cDNA Synthesis Super Mix 11123ES60, Yeasen Biotech o., Ltd., China
Inverted microscope Olympus, Tokyo, Japan;
Millicell transwell inserts Millipore,Bedford, MA, USA
Mitochondrial membrane potential assay kit Beyotime, China
PMSF ST506, Beyotime Biotech, Jiangsu, China#ST506
Real-time quantitative PCR instrument Applied Biosystems, Thermo Fisher Scientific. China.
RIPA Lysis Buffer Beyotime Biotech, Jiangsu, China
TRIzol reagentInvitrogen15596026
TRIzol reagent Takara Bio Inc., Otsu, Japan
Software
Image-Pro plus 6.0  

References

  1. Arbyn, M., et al. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. Lancet Global Health. 8 (2), e191-e203 (2020).
  2. Cohen, P. A., Jhingran, A., Oaknin, A., Denny, L. Cervical cancer.

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FAM83ACervical CancerCell GrowthCisplatin SensitivitySiRNA KnockdownProliferationMigrationInvasionApoptosisMitochondrial FunctionCisplatin Sensitivity

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