No Association of Hypoxia Inducible Factor-1α Gene Polymorphisms with Breast Cancer in North-West Indians

Sharma, Sanjiv; Kapahi, Ruhi; Sambyal, Vasudha; Guleria, Kamlesh; Manjari, Mridu; Sudan, Meena; Uppal, Manjit Singh; Singh, Neeti Rajan

doi:10.7314/apjcp.2014.15.22.9973

Cited by 14 publications

(14 citation statements)

References 45 publications

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“…Hypoxia is an important pathophysiological factor of cerebral infarction and HIF-1α has shown to be associated with the response of mammalian cells to ischemic hypoxia (23). The present study demonstrated that HIF-1α is associated with the pathophysiological process of cerebral infarction, and as such has an influence over cell apoptosis.…”

Section: Discussionmentioning

confidence: 53%

Neuroprotective mechanism of HIF-1α overexpression in the early stage of acute cerebral infarction in rats

Sun

Geng

2016

Experimental and Therapeutic Medicine

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Abstract. The present study aimed to explore the expression and neuroprotective mechanism of hypoxia inducible factor (HIF-1α) in the brain tissue of a rat model of early acute cerebral infarction. A total of 64 Sprague Dawley rats were randomly divided into surgery and sham groups and the model of focal cerebral infarction was established by the suture-occluded method. In the sham group, blood vessels were separated but not occluded. Rats in the surgery and sham groups were subdivided into eight groups (n=4/group). Blood samples was collected at 8 time points including 30 min and 1, 3, 6, 12, 48, 24 and 72 h, respectively, and HIF-1α content was detected using ELISA. Brain tissues of rats in all groups were harvested following blood collection. HIF-1α protein expression was detected by immunohistochemistry and terminal deoxynucleotidyl transferase (TdT) dUTP nick-end labeling was used to analyze the brain cell apoptosis index. ELISA results demonstrated that rats in the surgery group began to express HIF-1α within 30 min, and HIF-1α expression levels gradually increased, peaking at 12 h. HIF-1α expression levels were significantly increased in the surgery group at all time points, as compared with the sham group (P<0.05). The concentration of HIF-1α decreased rapidly in 12 h. At various time points, HIF-1α protein expression in the brain tissue of rats in the sham group was negative. HIF-1α protein expression was significantly increased in the surgery group (P<0.05), peaking at 12 h, and decreasing after this point. As compared with the sham group, the apoptosis indices of the brain tissue of rats in the surgery group exhibited a gradual increasing trend with significant decreases observed after 12 h (P<0.05). Intra-group comparison of all indices in the surgery group, indicated that there was a statistically significant difference between postoperative 12 h and other time points (P<0.05).In conclusion, the present study demonstrated that HIF-1α was highly expressed in the brain tissue of rat models of early acute cerebral infarction. The results also indicated that HIF-1α significantly reduced the apoptosis of infarcted cells, suggesting that HIF-1α may have a neuroprotective role in early acute cerebral infarction.

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Section: Discussionmentioning

confidence: 53%

Neuroprotective mechanism of HIF-1α overexpression in the early stage of acute cerebral infarction in rats

Sun

Geng

2016

Experimental and Therapeutic Medicine

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“…NCOA1 promotes angiogenesis in breast tumors by enhancing the transcription of VEGFa via HIFα and AP-1 [95]. Previous studies from our lab on breast cancer patients from same region have reported association of VEGF polymorphisms +405C>G, +936C>T, -2549 Insertion/Deletion, −152G/A, −116G/A, −165C/T and −141A/C with breast cancer risk but no association of VEGF -417C/T, -172C/A and -160C/T and HIF1α polymorphisms (g.C111A, g.C1772T and g.G1790A) with breast cancer risk [96][97][98][99].…”

Section: Discussionmentioning

confidence: 95%

In silico pathway analysis based on Chromosomal Instability in Breast Cancer Patients

KOUR

Sambyal

Guleria

et al. 2020

Preprint

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Background: Complex genomic changes that arise in tumors are a consequence of chromosomal instability. In tumor cells genomic aberrations disrupt core signaling pathways involving various genes, thus delineating of signaling pathways can help understand the pathogenesis of cancer. The bioinformatics tools can further help in identifying networks of interactions between the genes to get a greater biological context of all genes affected by chromosomal instability. Methods: Karyotypic analyses was done in 150 clinically confirmed breast cancer patients and 150 age and gender matched healthy controls after 72 hours Peripheral lymphocyte culturing and GTG-banding. Reactome database from Cytoscape software version 3.7.1 was used to perform. in-silico analysis (functional interaction and gene enrichment).Results: Frequency of chromosomal aberrations (structural and numerical) was found to be significantly higher in patients as compared to controls. The genes harbored by chromosomal regions showing increased aberration frequency in patients were further analyzed in-silico. Pathway analysis on a set of genes that were not linked together revealed that genes HDAC3, NCOA1, NLRC4, COL1A1, RARA, WWTR1, and BRCA1 were enriched in the RNA Polymerase II Transcription pathway which is involved in recruitment, initiation, elongation and dissociation during transcription. Conclusion: The current study employs the information inferred from chromosomal instability analysis in a non-target tissue for determining the genes and the pathways associated with breast cancer. These results can be further extrapolated by performing either mutation analysis in the genes/pathways deduced or expression analysis which can pinpoint the relevant functional impact of chromosomal instability.

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“…There were no subjects with TT genotype in the cases as well as controls while the heterozygous CT genotype was seen in 14% of cases and 10% of the controls (Table ). Such a predominant CC genotype in the population has been reported by Sharma et al and Meka et al in Indian cohort . The presence of T instead of C at 1772 position leads to increased transcriptional activity and higher expression of HIF‐1α.…”

Section: Discussionmentioning

confidence: 99%

Does Hypoxia‐Inducible Factor ‐1 α (HIF‐1α) C1772T polymorphism predict short‐term prognosis in patients with oral squamous cell carcinoma (OSCC)?

Prasad

Goswami

Gowda

et al. 2018

J Oral Pathology Medicine

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No Association of Hypoxia Inducible Factor-1α Gene Polymorphisms with Breast Cancer in North-West Indians

Cited by 14 publications

References 45 publications

Neuroprotective mechanism of HIF-1α overexpression in the early stage of acute cerebral infarction in rats

Neuroprotective mechanism of HIF-1α overexpression in the early stage of acute cerebral infarction in rats

In silico pathway analysis based on Chromosomal Instability in Breast Cancer Patients

Does Hypoxia‐Inducible Factor ‐1 α (HIF‐1α) C1772T polymorphism predict short‐term prognosis in patients with oral squamous cell carcinoma (OSCC)?

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