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  1. Mokhtar NM, Ramzi NH, Yin-Ling W, Rose IM, Hatta Mohd Dali AZ, Jamal R
    Cancer Invest, 2012 Feb;30(2):156-64.
    PMID: 22122087 DOI: 10.3109/07357907.2011.633290
    This research determined genes contributing to the pathogenesis of endometrioid endometrial cancer (EEC). Eight pairs of microdissected EEC samples matched with normal glandular epithelium were analyzed using microarray. Unsupervised analysis identified 162 transcripts (58 up- and 104 down-regulated) that were differentially expressed (p < .01, fold change ≥ 1.5) between both groups. Quantitative real-time polymerase chain reaction (qPCR) validated the genes of interest: SLC7A5, SATB1, H19, and ZAK (p < .05). Pathway analysis revealed genes involved in acid amino transport, translation, and chromatin remodeling (p < .05). Laser capture microdissection (LCM) followed by microarray enabled precise assessment of homogeneous cell population and identified putative genes for endometrial carcinogenesis.
  2. Lee CL, Veeramani S, Molouki A, Lim SHE, Thomas W, Chia SL, et al.
    Cancer Invest, 2019;37(8):393-414.
    PMID: 31502477 DOI: 10.1080/07357907.2019.1660887
    Colorectal cancer (CRC) is one of the most common malignancies. In recent decades, early diagnosis and conventional therapies have resulted in a significant reduction in mortality. However, late stage metastatic disease still has very limited effective treatment options. There is a growing interest in using viruses to help target therapies to tumour sites. In recent years the evolution of immunotherapy has emphasised the importance of directing the immune system to eliminate tumour cells; we aim to give a state-of-the-art over-view of the diverse viruses that have been investigated as potential oncolytic agents for the treatment of CRC.
  3. Ghani WMN, Ramanathan A, Prime SS, Yang YH, Razak IA, Abdul Rahman ZA, et al.
    Cancer Invest, 2019;37(7):275-287.
    PMID: 31307249 DOI: 10.1080/07357907.2019.1635614
    Previous studies found that ethnicity influences oral cancer patients' survival; however, most studies were limited to certain ethnic groups particularly from the West, thus of limited relevance to Asians where the disease is most prevalent. We investigated the relationship between ethnicity and patient survival in multi-racial Malaysia. 5-year survival rate was 40.9%. No statistically significant difference was observed in survival between Malays, Chinese, Indians and Indigenous peoples (45.7%, 44.0%, 41.3%, 27.7% respectively). Increased tumor size, lymph node involvement and advanced tumor were predictive of poor survival. We conclude that ethnicity has no effect on survival or its prognostic indicators.
  4. Zakaria MA, Rajab NF, Chua EW, Selvarajah GT, Masre SF
    Cancer Invest, 2020 Sep;38(8-9):445-462.
    PMID: 32713210 DOI: 10.1080/07357907.2020.1802474
    Tissues become more rigid during tumorigenesis and have been identified as a driving factor for tumor growth. Here, we highlight the concept of tissue rigidity, contributing factors that increase tissue rigidity, and mechanisms that promote tumor growth initiated by increased tissue rigidity. Various factors lead to increased tissue rigidity, promoting tumor growth by activating focal adhesion kinase (FAK) and Rho-associated kinase (ROCK). Consequently, result in recruitment of cancer-associated fibroblasts (CAFs), epithelial-mesenchymal transition (EMT) and tumor protection from immunosurveillance. We also discussed the rationale for targeting tumor tissue rigidity and its potential for cancer treatment.
  5. Tan SC, Ismail MP, Duski DR, Othman NH, Bhavaraju VM, Ankathil R
    Cancer Invest, 2017 Mar 16;35(3):163-173.
    PMID: 28301252 DOI: 10.1080/07357907.2017.1278767
    This study aimed to identify the most stably expressed reference genes from a panel of 32 candidate genes for normalization of reverse transcription-quantitative real-time polymerase chain reaction data in cancerous and non-cancerous tissues of human uterine cervix. Overall, PUM1, YWHAZ, and RPLP0 were identified as the most stably expressed genes in paired cancerous and non-cancerous tissues. The results were further stratified by the state of malignancy of the tissues, histopathological type of the cancer, and the human papillomavirus-type.
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