Expression of Osteopontin in Oral Squamous Cell Carcinoma and its Surgical Margins-An Immunohistochemical Study

Subramani, Vijayanirmala; Narasimhan, Malathi; Thiyagarajan, Muthukumar; Munuswamy, Balu David; Jayamani, Logeswari

doi:10.7860/jcdr/2015/12777.6836

Cited by 8 publications

(15 citation statements)

References 25 publications

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“…Its aberrant expression and/or splicing is functionally responsible for many disease pathologies including cancer [ 31 ]. The expression of OPN was elevated in 95% of OSCC and can be used as a diagnostic marker for oral cancer [ 32 ]. It is also a poor prognostic factor in OSCC treated with cisplatin-based IC followed by CCRT [ 33 ].…”

Section: Discussionmentioning

confidence: 99%

Systematic analysis of genes involved in oral cancer metastasis to lymph nodes

Zhang

Tan

et al. 2018

Cell Mol Biol Lett

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Oral cancer remains a deadly disease worldwide. Lymph node metastasis and invasion is one of the causes of death from oral cancer. Elucidating the mechanism of oral cancer lymph node metastasis and identifying critical regulatory genes are important for the treatment of this disease. This study aimed to identify differentially expressed genes (gene signature) and pathways that contribute to oral cancer metastasis to lymph nodes. The GSE70604-associated study compared gene profiles in lymph nodes with metastasis of oral cancer to those of normal lymph nodes. The GSE2280-associated study compared gene profiles in primary tumor of oral cancer with lymph node metastasis to those in tumors without lymph node metastasis. There are 28 common differentially expressed genes (DEGs) showing consistent changes in both datasets in overlapping analysis. GO biological process and KEGG pathway analysis of these 28 DEGs identified the gene signature CCND1, JUN and SPP1, which are categorized as key regulatory genes involved in the focal adhesion pathway. Silencing expression of CCND1, JUN and SPP1 in the human oral cancer cell line OECM-1 confirmed that those genes play essential roles in oral cancer cell invasion. Analysis of clinical samples of oral cancer found a strong correlation of these genes with short survival, especially JUN expression associated with metastasis. Our study identified a unique gene signature – CCND1, JUN and SPP1 – which may be involved in oral cancer lymph node metastasis.Electronic supplementary materialThe online version of this article (10.1186/s11658-018-0120-2) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Systematic analysis of genes involved in oral cancer metastasis to lymph nodes

Zhang

Tan

et al. 2018

Cell Mol Biol Lett

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“…The main characteristics of the eligible studies are summarized in table 1. The total number of patients was 269, three articles were from Asian [1,11,12], and five were from non-Asian ethnicity [8,9,10,13,14]. Four studies composed of OSCC [10,[12][13][14], one study compose of OSCC with Oropharynx SCC [8] and three composed of HNSCC [1,9,11] patients.…”

Section: General Characteristics Of Eligible Studiesmentioning

confidence: 99%

“…The total number of patients was 269, three articles were from Asian [1,11,12], and five were from non-Asian ethnicity [8,9,10,13,14]. Four studies composed of OSCC [10,[12][13][14], one study compose of OSCC with Oropharynx SCC [8] and three composed of HNSCC [1,9,11] patients. All analyzed histopathologically negative surgical margin specimens and immunohistochemistry was used as detection method.…”

Section: General Characteristics Of Eligible Studiesmentioning

confidence: 99%

“…Osteopontin (OPN) was used in two studies at 1:100 and 1:250 dilutions sourced from SantaCruz biotechnology and Abcam respectively, it gave dark brown membranous and cytoplasmic staining [10,12]. Human colon carcinoma tissue was used as positive control for OPN in one study [13]. E-cadherin was used in one study at a dilution of 1:50 and it stained nuclei and cell membrane brown [13].…”

Section: Immunohistochemical Markers Related Parameters Of Included Studiesmentioning

confidence: 99%

“…Human colon carcinoma tissue was used as positive control for OPN in one study [13]. E-cadherin was used in one study at a dilution of 1:50 and it stained nuclei and cell membrane brown [13]. One study used Beta-2 adrenergic receptor at 1:50 dilution which stained plasma membrane and cytoplasm brown [14].…”

Section: Immunohistochemical Markers Related Parameters Of Included Studiesmentioning

confidence: 99%

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Role of Immunohistochemical Markers in Surgical Margins of Patients with Head and Neck Carcinoma – A Systematic Review

Ranka¹,

Chaudhary²,

Sharma³

et al. 2020

IJCRR

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Objective(s):The aim and objective of this study was to systematically evaluate the prognostic role of immunohistochemical markers in surgical margins of patients with head and neck squamous cell carcinoma (HNSCC).Materials and Methods: MEDLINE/PubMed, Scopus and Cochrane library were searched for relative studies until December 2018. Retrospective and prospective original research studies published in English language assessing the prognostic value of immunohistochemical markers and disease-free survival in HNSCC and oral squamous cell carcinoma (OSCC) were included.Results: A total of eight studies were included comprising of 269 cases. The studies included here used eukaryotic initiation transcription factor 4E (eIF4E) in HNSCC patients; Matrix metalloproteinase (MMP), MMP2, MMP3, MMP9, Dentin Sialo-Phosphoprotein (DSPP), Bone Sialoprotein (BSP), Osteopontin (OPN), Beta-2-adrenergic receptors and E-cadherin in OSCC patients and p53 in HNSCC and OSCC. Among all the markers studied MMP9 had the highest accuracy at 80% followed by p53 (75%), DSPP (70%) and OPN (70%) while eIF4E (33.3%) had least accuracy. A study suggested that E-cadherin is the preferred marker over MMP9. Almost all the studies used Fisher's exact and Fisher-Freeman-Halton significance test. Only one study was at low risk of bias, three studies were at moderate risk of bias, three studies had serious risk of bias and in one study bias could not be calculated due to inadequate information. Conclusions:The study shows that immunohistochemical markers can significantly contribute to the field of head and neck carcinomas. Future efforts should concentrate on improving the antibody selection and its performance in the patients.

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