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  1. Article ; Online: EXPRESSION ANALYSIS AND RELATIONSHIP OF PROTEIN KINASE CK2α WITH HISTOPATHOLOGICAL FEATURES IN HUMAN BREAST CANCER

    Fatima Qaiser / Abdul Khaliq Naveed / Sarah Sadiq / Palvasha Waheed / Iqbal Muhammad / Rubina Younis / Shoaib Naiyar Hashmi

    Khyber Medical University Journal, Vol 7, Iss 2, Pp 53-

    2015  Volume 59

    Abstract: Objectives: The present study was designed to evaluate the role of CK2α; in prognosis of breast cancer patients diagnosed at the same stage of the disease, and to predict aggressiveness of the tumor. Methods: A retroprospective immunohistochemical ... ...

    Abstract Objectives: The present study was designed to evaluate the role of CK2α; in prognosis of breast cancer patients diagnosed at the same stage of the disease, and to predict aggressiveness of the tumor. Methods: A retroprospective immunohistochemical analysis of CK2α was carried out in human breast cancer tissue specimens. All the cases included were diagnosed at stage II of disease. χ 2 tests and Regression analysis were carried out to determine the correlation between histopathological parameters and expression pattern of CK2α Results: There was a positive correlation between total as well as nuclear expression of CK2α with increasing Nottingham prognostic index (p<0.0001). CK2α was also found to be significantly associated with the lymph node metastasis (p<0.0001). Conclusion: Immunohistochemical expression of CK2α can be used as an indicator of poor prognosis of disease even if overall stage of the breast cancer is the same. CK2α can also serve to predict the aggressiveness of the breast cancer as well and can identify the sub set of patients at high risk of developing lymph node metastasis.
    Keywords Medicine ; R
    Subject code 616 ; 610
    Language English
    Publishing date 2015-07-01T00:00:00Z
    Publisher Khyber Medical University
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Genetic dissection of two Pakistani families with consanguineous localized autosomal recessive hypotrichosis (LAH)

    Seyyedha Abbas / Abdul Khaliq Naveed / Shakir Khan / Muhammad Jawad Yousaf / Zahid Azeem / Suhail Razak / Fatima Qaiser

    Iranian Journal of Basic Medical Sciences, Vol 17, Iss 7, Pp 470-

    2014  Volume 475

    Abstract: Objective(s): Genetic analysis of two consanguineous Pakistani families with localized autosomal recessive hypotrichosis was performed with the goal to establish genotype-phenotype correlation. Materials and Methods: Genomic DNA extraction had been done ... ...

    Abstract Objective(s): Genetic analysis of two consanguineous Pakistani families with localized autosomal recessive hypotrichosis was performed with the goal to establish genotype-phenotype correlation. Materials and Methods: Genomic DNA extraction had been done from peripheral blood samples. Extracted DNA was then subjected to PCR (polymerase chain reaction) for amplification. Linkage analysis was performed using 8% polyacrylamide gel. Candidate gene was sequenced after gene linkage supported at highly polymorphic microsatellite markers of the diseased region. Results: Both families were initially tested for linkage to known genes, which were involved in human hereditary hypotrichosis, by genotyping Highly polymorphic microsatellite markers. Family B showed partial linkage at P2RY5 gene on chromosome 13q14.11-q21.32; hence, all exonic regions and their introns boundaries were subjected to DNA sequencing for any pathogenic mutation. Conclusion:Both families were tested for linkage by genotyping polymorphic microsatellite markers linked to known alopecia loci. Family A excluded all known diseased regions that is suggestive of some novel chromosomal disorder. However, sequencing of P2RY5 gene in family B showed no pathogenic mutation.
    Keywords Alopecia ; Autosomal recessive ; Hypo-trichosis ; Genetics ; P2RY5 gene Pakistan ; Medicine ; R
    Language English
    Publishing date 2014-07-01T00:00:00Z
    Publisher Mashhad University of Medical Sciences
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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