23 January 2021: Database Analysis
Correlation Between High Expression of and Improved Overall Survival in Ovarian Cancer Patients
Hui Shang1FG, Lingyun Shi2BC, Xuena Jiang3CF, Peng Zhou4CD, Yongqing Wei1AB*DOI: 10.12659/MSM.928763
Med Sci Monit 2021; 27:e928763
Abstract
BACKGROUND: The aim of the present work was to evaluate FOXA2 expression in ovarian cancer and to use integrated bioinformatics analysis to correlate it with patient prognosis.
MATERIAL AND METHODS: FOXA2 expression was evaluated in multiple cancers in The Cancer Genome Atlas database. A protein–protein interaction (PPI) network relevant to FOXA2 was constructed using the Search Tool for Retrieval of Interacting Genes/Proteins (STRIN). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were performed of FOXA2 and relevant genes. Correlations between overall survival (OS), disease-free survival, and FOXA2 expression were evaluated. An immunohistochemical assay (IHC) was used to test for FOXA2 protein expression in 79 ovarian cancer specimens.
RESULTS: FOXA2 mRNA was upregulated in colorectal, stomach, liver, and endometrial cancers. In the PPI network, 21 protein nodes and 533 edges were constructed with a local clustering coefficient of 0.698, which indicated significant PPI enrichment (P<0.01). FOXA2 and relevant genes were mainly enriched in the signaling pathways regulating pluripotency of stem cells, cancer, and AMPK. A survival analysis indicated that OS was significantly longer in patients with higher versus lower FOXA2 protein expression (HR=0.73, P<0.01). The IHC assay showed that the FOXA2 protein was mainly positively expressed in the nucleoplasm of tumor cells with brown-yellow staining. Of the 79 ovarian cancer samples, 31 (39.2%) highly expressed FOXA2. The FOXA2 gene was correlated with International Federation of Gynecology and Obstetrics staging and with lymph node metastasis (both P<0.05).
CONCLUSIONS: Upregulation of the FOXA2 gene was correlated with improved OS in patients with ovarian cancer and it can be used as a prognostic biomarker and potential treatment target.
Keywords: Diagnosis, Ovarian Neoplasms, Prognosis, Cluster Analysis, Databases, Factual, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Hepatocyte Nuclear Factor 3-beta, Protein Interaction Maps, Survival Analysis
Background
Ovarian cancer is a commonly diagnosed carcinoma of the female reproductive system. Estimates indicate that in 2019, 1390 patients with ovarian cancer in the United States died of the disease [1]. Ovarian cancer is the most common cause of cancer-related deaths in women, ranking fourth in cancer-associated mortality among women in developed countries. Cancer epidemiology data from China show that the mortality rate in patients with ovarian cancer increased by 21.6% and 1.7% from 2000 to 2003 and 2003 to 2011, respectively, ranking the disease first among carcinomas in terms of deadliness [2]. The development of ovarian cancer is occult and about 75% of cases are diagnosed when the disease is advanced (International Federation of Gynecology and Obstetrics [FIGO] stages III and IV), resulting in a poor prognosis for these patients and an extremely low 5-year survival rate [3]. Therefore, it is of great importance to identify effective biological markers that can facilitate early diagnosis of ovarian cancer and improve patient prognosis [4].
FOX proteins are characterized by a conserved DNA domain that is 110 amino acids long and similar in structure and appearance to the forkhead box [5]. Both fungi and animals have been found to contain a large number of FOX family proteins, which play an important role in embryo development, cell differentiation, energy metabolism, and immune regulation [6]. The FOX family consists of 19 subfamilies, named after FOXA and FOXS, and consists of more than 100 members [7]. The most widely used and studied of them is the FOXA subfamily, which is composed of 3 members: FOXA1, FOXA2, and FOXA3. FOXA1 is located on human chromosome 14, with a total length of 5300 bp and consists of 2 exons and 1 intron. Its structure is composed of an N-terminal transcriptional activation region, middle DNA binding region, and C-terminal histone binding region. The N-terminal, which is the core region, is mainly composed of 3 α helices and 3 reverse parallel β folds [8,9]. The C-terminal histone binding region can break the compressed chromosome by binding with histone H3/H4, so as to increase the chance of transcription factor binding with it and initiate transcription and translation, regulating the transcription and expression of downstream genes.
FOXA2 is a member of the FOX family and can be dysregulated in multiple cancers, such as those of the colorectum [10], lung [11], and breast [12]. However, the level of expression of the gene in ovarian cancer has rarely been reported in the literature and its biological function is elusive.
Material and Methods
:
PROTEIN–PROTEIN INTERACTION NETWORK CONSTRUCTION:
A protein–protein interaction (PPI) network related to FOXA2 was constructed using the Search Tool for Retrieval of Interacting Genes/Proteins (STRIN) database (http://string-db.org/cgi/input.pl) [13]. The conditions for the PPI network were: (1) confidence >0.7; and (2) source of interaction limited to co-expression, gene function, and neighborhood relationship.
:
Seventy-nine patients with ovarian cancer who underwent surgery in our hospital were included in the present study. Written informed consent was obtained from all of the individuals and the research was approved by the Ethics Committee of our hospital. Tumor tissue and corresponding normal ovarian tissue were collected intraoperatively, immediately quick frozen in liquid nitrogen, and then transferred to and stored in a freezer at −80°C until the next use. The mean age of the 79 patients was 52.6±11.3 years. The FIGO stage of ovarian cancer was I/II in 32 cases and II/IV in 47 cases. The pathologic type was mucinous, serous, and endometrioid carcinoma in 52, 21, and 6 cases, respectively.
SURVIVAL ANALYSIS:
Patients in the TCGA databases with ovarian cancer were divided into 2 groups, based on the relative level of expression of
STATISTICAL ANALYSIS:
STATA statistical software, version 11.0, was used for data evaluation. Data were expressed as numbers (n) and percentages (%) and compared with a chi-square or Fisher’s exact test. Survival data were expressed as medians and compared using a log-rank test. The correlation between
Results
:
FOXA2 mRNA expression was quite different among the cancers (Figure 1A). FOXA2 mRNA was upregulated in colorectal, stomach, liver, and endometrial cancers. The highest rate of FOXA2 protein expression was in prostate, breast, and urothelial cancers (Figure 1B). No statistically significant differences were seen in FOXA2 mRNA expression in patients whose ovarian cancer had different types of mutations (Figure 2).
PPI NETWORK ANALYSIS:
A PPI network for FOXA2 and proteins related to it was constructed using the Search Tool for Retrieval of Interacting Genes/Proteins (STRIN) database. Twenty-one protein nodes and 533 edges were identified that had a local clustering coefficient of 0.698, which indicated significant PPI enrichment (P<0.01) (Figure 3).
GENE ONTOLOGY ENRICHMENT:
In terms of biological processes, FOXA2 and genes related to it were mainly found to be enriched in development of the endocrine system, positive regulation of cellular biosynthetic processes, and development of the pancreas. Enrichment in cellular components occurred largely in the nucleus, intracellular membrane-bounded organelle, and transcription factor complex. Regarding molecular function, FOXA2 and genes related to it were concentrated in transcription regulatory-region sequence-specific DNA binding, proximal promoter sequence-specific DNA binding, and RNA polymerase II regulatory-region sequence-specific DNA binding (Table 1).
KYOTO ENCYCLOPEDIA OF GENES AND GENOMES PATHWAY ENRICHMENT:
FOXA2 and genes related to it were mainly enriched in the signaling pathways regulating pluripotency of stem cells, pathways in cancer, and the AMP-activated protein kinase (AMPK) signaling pathway (Table 2, Figure 4).
SURVIVAL ANALYSIS:
Log-rank analysis indicated that OS was significantly longer in patients with high FOXA2 expression than in those with low expression (HR=0.73, P<0.01). However, DFS (HR=0.82, P>0.05) was not statistically different between the groups with high and low expression of FOXA2 (Figure 5). In the Kaplan-Meier plotter database, we also found that OS in patients with high FOXA2 expression was significantly longer than in those with low expression (HR=0.69, P<0.01) (Figure 5).
:
An IHC assay showed that the FOXA2 protein was mainly positively expressed in the nucleoplasm of tumor cells that stained brown-yellow (Figure 6). Of the 79 ovarian cancer samples that were included, 31 (39.2%) showed increased expression of the FOXA2 protein. The FOXA2 protein was correlated with FIGO stage and lymph node metastasis (both P<0.05) (Table 3). Multivariate logistic regression of FOXA2 protein expression and clinical features of ovarian cancer indicated that increased expression of the protein was an independent factor for lymph node metastasis in patients with ovarian cancer (OR=0.36, P<0.05) (Figure 7).
Discussion
The FOXA2 gene is located on human chromosome 20. It has a total length of 45 kb and consists of 3 exons and 2 introns. The gene’s structure is composed of 2 transcriptional activation regions, conservative cross head frame, inhibition, and phosphorylation regions [14]. FOXA2 has been confirmed to play an important role in regulating embryo development [15]. FOXA2 gene expression can be detected in many organs and tissues, such as the breast, liver and pancreas, and adipose tissue [16]. It has been reported that FOXA2 plays an important role in energy metabolism and tumor development [17]. Abnormal expression of FOXA2 in tumor tissue has been found to be closely related to the development of various tumors, such as those of the lung [18], gastrointestinal tract [19], and liver [20]. Downregulation of FOXA2 expression in gastric cancer is related to lymph node metastasis, tumor stage, and 3-year mortality. A previous publication has shown that FOXA2 downregulation is closely related to vascular invasion, the number of tumors, and the stage of liver cancer [20]. Ren et al. [21] found that relative expression of FOXA2 mRNA in ovarian cancer tissues was significantly lower than that in benign and normal tissues, and the rate of positive expression of the FOXA2 protein in normal tissues was 82.14%, while that in ovarian cancer tissues was 23.21%. Clearly, expression of the FOXA2 protein was lacking in ovarian cancer tissues. In ovarian cancer, a significant correlation has been found between FOXA2 expression and tumor differentiation and FIGO stage, suggesting that the gene may be closely related to development of the disease. Further analysis showed that the 5-year mortality rate in patients with ovarian cancer who did not express FOXA2 was much higher than that in individuals with positive expression of FOXA2. Multivariate analysis showed that negative expression of FOXA2 was an independent risk factor for poor prognosis in patients with ovarian cancer.
In the present study, we found that FOXA2 mRNA expression was quite varied among different cancers. In ovarian cancer, no statistically significant differences were found in FOXA2 mRNA expression depending on mutation type. This indicates that FOXA2 may participate in ovarian cancer development. A survival analysis indicated that OS was significantly longer in patients with high FOXA2 expression than in those with low expression (HR=0.73, P<0.01), which was in accordance with previous relevant publications [21]. Multivariate analysis of logistic regression for FOXA2 protein expression and clinical features of patients with ovarian cancer indicated that high expression of FOXA2 protein was an independent factor for lymph node metastasis in patients with ovarian cancer. Therefore, overexpression of FOXA2 can be used as an indicator of good prognosis for ovarian cancer.
The molecular mechanism through which FOXA2 is involved in ovarian cancer prognosis has not yet been elucidated. Basseres [11] evaluated the mechanisms of downregulation of FOXA2 in lung cancer. The authors found that loss of expression of FOXA2 is common in multiple lung cancer cell lines and cancer tissues. The molecular mechanism for downregulation of FOXA2 in cancer cells is GpG island methylation in the promoter region, which is a common mechanism of epigenetic regulation. Another mechanism of FOXA2 cancer inhibition is weakening of the epithelial-to-mesenchymal transition (EMT) through regulation of transcription of E-cadherin and ZEB2 in human breast cancer cells [12]. However, Wang et al. reported that in colon cancer, FOXA2 promotes proliferation, migration, invasion, and the EMT [10].
Conclusions
In the present study, FOXA2 was found to be dysregulated in ovarian cancer and high expression of it was correlated with longer OS in patients with the disease. High expression of FOXA2 protein was an independent risk factor for lymph node metastasis in patients with ovarian cancer. The molecular function of FOXA2 was mainly enriched in the pathway of cancer and AMPK and correlated with cell growth and autophagy. Continuous detection of FOXA2 expression may provide useful information for predicting prognosis in patients with ovarian cancer.
Figures







References
1. Siegel RL, Miller KD, Jemal A, Cancer statistics, 2019: Cancer J Clin, 2019; 69; 7-34
2. Chen W, Zheng R, Baade PD, Cancer statistics in China, 2015: Cancer J Clin, 2016; 66; 115-32
3. DeSantis CE, Miller KD, Goding Sauer A, Cancer statistics for African Americans, 2019: Cancer J Clin, 2019; 69; 211-33
4. Slatnik CL, Duff E, Ovarian cancer: Ensuring early diagnosis: Nurse Pract, 2015; 40; 47-54
5. Wang J, Li W, Zhao Y, Members of FOX family could be drug targets of cancers: Pharmacol Ther, 2018; 181; 183-96
6. Williams CB, Chatila TA, Fox family ties: Cell Res, 2013; 23; 452-54
7. Katoh M, Katoh M, Human FOX gene family (review): Int J Oncol, 2004; 25; 1495-500
8. Katoh M, Igarashi M, Fukuda H, Cancer genetics and genomics of human FOX family genes: Cancer Lett, 2013; 328; 198-206
9. Kim KK, Adelstein RS, Kawamoto S, Identification of neuronal nuclei (NeuN) as Fox-3, a new member of the Fox-1 gene family of splicing factors: J Biol Chem, 2009; 284; 31052-61
10. Wang B, Liu G, Ding L, FOXA2 promotes the proliferation, migration and invasion, and epithelial mesenchymal transition in colon cancer: Exp Ther Med, 2018; 16; 133-40
11. Basseres DS, D’Alò F, Yeap BY, Frequent downregulation of the transcription factor Foxa2 in lung cancer through epigenetic silencing: Lung Cancer, 2012; 77; 31-37
12. Zhang Z, Yang C, Gao W, FOXA2 attenuates the epithelial to mesenchymal transition by regulating the transcription of E-cadherin and ZEB2 in human breast cancer: Cancer Lett, 2015; 361; 240-50
13. Szklarczyk D, Gable AL, Lyon D, STRING v11: Protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets: Nucleic Acids Res, 2019; 47; D607-13
14. Li J, Dantas Machado AC, Guo M, Structure of the Forkhead domain of FOXA2 bound to a complete DNA consensus site: Biochemistry, 2017; 56; 3745-53
15. Burtscher I, Lickert H, Foxa2 regulates polarity and epithelialization in the endoderm germ layer of the mouse embryo: Development, 2009; 136; 1029-38
16. Popovic J, Klajn A, Petrovic I, Tissue-specific Forkhead protein FOXA2 up-regulates SOX14 gene expression: Biochim Biophys Acta, 2010; 1799; 411-18
17. Camolotto SA, Pattabiraman S, Mosbruger TL, FoxA1 and FoxA2 drive gastric differentiation and suppress squamous identity in NKX2-1-negative lung cancer: Elife, 2018; 7; e38579
18. Jang SM, An JH, Kim CH, Transcription factor FOXA2-centered transcriptional regulation network in non-small cell lung cancer: Biochem Biophys Res Commun, 2015; 463; 961-67
19. Li C, Lu S, Shi Y, MicroRNA-187 promotes growth and metastasis of gastric cancer by inhibiting FOXA2: Oncol Rep, 2017; 37; 1747-55
20. Chand V, Pandey A, Kopanja D, Opposing roles of the Forkhead box factors FoxM1 and FoxA2 in liver cancer: Mol Cancer Res, 2019; 17; 1063-74
21. Ren XY, Yang WB, Li XMNKX2-1 and FOXA2 expression in ovarian cancer and its clinical significance: Maternal Child Health Care China, 2019; 34(12); 2857-60 [in Chinese]
Figures







Tables






In Press
04 Dec 2023 : Animal Research
Effects of Intrathecal Ketamine on Cerebrospinal Fluid Levels of Brain-Derived Neurotrophic Factor and Mech...Med Sci Monit In Press; DOI:
01 Dec 2023 : Clinical Research
Risk Factors and Clinical Outcomes of COVID-19 Infection in Multiple Sclerosis Patients: A Retrospective St...Med Sci Monit In Press; DOI:
30 Nov 2023 : Review article
Decoding the Neurological Sequelae of General Anesthesia: A ReviewMed Sci Monit In Press; DOI:
30 Nov 2023 : Clinical Research
Enhanced Pain Relief and Muscle Growth in Individuals with Low Back Instability: The Impact of Blood Flow R...Med Sci Monit In Press; DOI:
Most Viewed Current Articles
13 Nov 2021 : Clinical Research
Acceptance of COVID-19 Vaccination and Its Associated Factors Among Cancer Patients Attending the Oncology ...DOI :10.12659/MSM.932788
Med Sci Monit 2021; 27:e932788
30 Dec 2021 : Clinical Research
Retrospective Study of Outcomes and Hospitalization Rates of Patients in Italy with a Confirmed Diagnosis o...DOI :10.12659/MSM.935379
Med Sci Monit 2021; 27:e935379
14 Dec 2022 : Clinical Research
Prevalence and Variability of Allergen-Specific Immunoglobulin E in Patients with Elevated Tryptase LevelsDOI :10.12659/MSM.937990
Med Sci Monit 2022; 28:e937990
08 Mar 2022 : Review article
A Review of the Potential Roles of Antioxidant and Anti-Inflammatory Pharmacological Approaches for the Man...DOI :10.12659/MSM.936292
Med Sci Monit 2022; 28:e936292