Thesis (Ph. D.)--University of Hong Kong, 2010. / Includes bibliographical references (leaves 121-150). Also available in print.

Thesis (Ph. D.)--Flinders University, School of Medicine, Dept. of Medicine. / Typescript bound. Includes bibliographical references (leaves 308-361). Also available electronically via the World Wide Web.

Thesis (doctoral)--Lund University, 1993. / Added t.p. with thesis statement inserted.

Thesis (doctoral)--Lund University, 1993. / Added t.p. with thesis statement inserted.

published_or_final_version / Surgery / Doctoral / Doctor of Philosophy

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world, especially in Asia and Africa countries. The distribution pattern shows geographical variation and pathogesis in multifactors as environment, infection, nutrition, metabolism, and endocrine contribute to hepatocarcinogenesis. Alpha fetal protein (AFP), the major tumor marker used at present accounts only 50% HCC diagnostic efficiency. This study aims to identify potential tumor markers or suppressor genes for further application in early HCC diagnoses and treatments. Therefore we utilized available cDNA microarray databases in conjunction with other bioinformatic resources to identify our candidate genes related to HCCs. cDNA microarray technology and bioinformatic resources which enable investigators to obtain comprehensive data with respect to gene-expression profiles, is progressing rapidly. The Okabe¡¦s and Stanford¡¦s HCC database were our major data-mining material. A total of 85 potential tumor markers and 106 potential tumor suppressors were found via preliminary in silico datamining. We furthermore narrowed down to 14 candidate tumor markers and 7 candidate tumor suppressor genes by the way of quantitative RT-PCR technologies were applied in various HCC cancer cell lines and 21 patient¡¦s in pair, tumor/non-tumor tissues to confirm gene expression profile. The results revealed that 6 genes (PRO2000, PYGB, STMN1, AFM, C8FW, NNMT) conformed to our data-mining studies.

published_or_final_version / Medicine / Master / Master of Medical Sciences

Diss. (sammanfattning) Stockholm : Karol. inst., 2006. / Härtill 4 uppsatser.

Thesis (Ph.D)--Biomedical Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Ravi V. Bellamkonda; Committee Member: Ananth V. Annapragada; Committee Member: Andrew Lyon; Committee Member: Gang Bao; Committee Member: Niren Murthy. Part of the SMARTech Electronic Thesis and Dissertation Collection.

Thesis (DTech(Biomedical Technology))--Cape Technikon, Cape Town, 2000 / The diagnosis of breast cancer is not possible using currently available serological detection of cancer markers as these lack adequate sensitivity or specificity. This study investigates the prevalence and significance of anti-p53 antibody and c-erbB-2 protein in the post-surgical sera of South African breast cancer patients and correlates these features with the clinicopathological characteristics of breast cancer. Further, this study investigates the possibilityofimproving prognostic sensitivityby combining the two subject markers to monitor each patient. Further, this study will provide the opportunity to investigate lNhether only certain types of breast cancer can elicit an immunological response and at what stage and grade of tumour antibodies are present in the postoperative serum. The study also establishes a foundation for determining in South Africa lNhether there is a genetic influence in the response to p53 mutation and INhther this response is higher in the indigenous African women compared to other South African women. The purpose of the study is to determine if the resulting findings can be used to enhance our ability to diagnose breast cancer and to identify node-negative breast cancer patients at high risk for early disease recurrence and or death, for 1Nh0m adjuvant therapy is unequivocally justified. The study accrued 92 South African breast cancer patients who were essentially women of colour 62 [67%] indigenous African women and 20 [22%] Caucasian of Indian descent, 6 [6%J of mixed [ColouredJ background and only 4 [4%J Caucasian of White descent. A predominantly indigenous African populationwas chosen becausethey are the group most likely to benefitfrom an easily repeatable, affordable serological cancer marker.