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  1. Khajotia R, Poovaneswaran S, Pavadai T, Sabaratnam S, Khairan H
    Can Fam Physician, 2014 Feb;60(2):142-6.
    PMID: 24522677
  2. Yeap BH, Muniandy S, Lee SK, Sabaratnam S, Singh M
    Asian J Surg, 2007 Jul;30(3):183-7.
    PMID: 17638637
    The determination of tumour-free margin in breast cancer is crucial in deciding subsequent patient management. To exemplify the phenomenon of margin contraction during specimen preparation for histopathological analysis, we quantified the shrinkage of breast specimens as a result of formalin fixation.
  3. Khoo JJ, Ng CS, Sabaratnam S, Arulanantham S
    Asian Pac J Cancer Prev, 2016;17(3):1149-55.
    PMID: 27039740
    BACKGROUND: Examination of sentinel lymph node (SLN) biopsies provides accurate nodal staging for breast cancer and plays a key role in patient management. Procurement of SLNs and the methods used to process specimens are equally important. Increasing the level of detail in histopathological examination of SLNs increases detection of metastatic tumours but will also increase the burden of busy laboratories and thus may not be carried out routinely. Recommendation of a reasonable standard in SLN examination is required to ensure high sensitivity of results while maintaining a manageable practice workload.

    MATERIALS AND METHODS: Twenty-four patients with clinically node-negative breast cancer were recruited. Combined radiotracer and blue dye methods were used for identification of SLNs. The nodes were thinly sliced and embedded. Serial sectioning and immunohistochemical (IHC) staining against AE1/AE3 were performed if initial HandE sections of the blocks were negative.

    RESULTS: SLNs were successfully identified in all patients. Ten cases had nodal metastases with 7 detected in SLNs and 3 detected only in axillary nodes (false negative rate, FNR=30%). Some 5 out of 7 metastatic lesions in the SLNs (71.4%) were detected in initial sections of the thinly sliced tissue. Serial sectioning detected the remaining two cases with either micrometastases or isolated tumour cells (ITC).

    CONCLUSIONS: Thin slicing of tissue to 3-5mm thickness and serial sectioning improved the detection of micro and macro-metastases but the additional burden of serial sectioning gave low yield of micrometastases or ITC and may not be cost effective. IHC validation did not further increase sensitivity of detection. Therefore its use should only be limited to confirmation of suspicious lesions. False negative cases where SLNs were not involved could be due to skipped metastases to non-sentinel nodes or poor technique during procurement, resulting in missed detection of actual SLNs.

  4. Teoh KH, Looi LM, Sabaratnam S, Cheah PL, Nazarina AR, Mun KS
    Malays J Pathol, 2011 Jun;33(1):35-42.
    PMID: 21874750 MyJurnal
    Predictive biomarkers such as oestrogen (ER) and progesterone (PR) receptors and c-erbB-2 oncoprotein have become a staple in breast cancer reports in the country as they increasingly play an important role in the treatment and prognosis of women with breast cancers. This study reviews the practice of histopathology reporting of these biomarkers in a Malaysian tertiary hospital setting. Retrospective data on demographic, pathological and biomarker profiles of patients with invasive ductal carcinoma who had undergone mastectomy or lumpectomy with axillary node clearance from 2005 to 2006 were retrieved from the Department of Pathology, Penang Hospital and analysed. The prevalence of ER positivity (55.8%), PR positivity (52.5%), c-erbB-2 oncoprotein overexpression (24%) and triple negativity (ER negative, PR negative, c-erbB-2 negative) (15%) by immunohistochemistry were comparable with other studies. Notably, c-erbB-2 overexpression was equivocal (2+) in 15% of cases. Since about a quarter of equivocal (2+) cases usually show amplification by FISH, a small but certain percentage of patients would miss the benefit of anti-c-erbB-2 antibody therapy if FISH is not performed. New ASCO/CAP guidelines on the quantitation of ER and PR will probably increase the prevalence of ER/PR positivity, invariably leading to significant ramifications on the management of patients as more patients would be deemed eligible for endocrine therapy, as well as categorisation of triple negative breast cancers.
  5. Teng LH, Ahmad M, Ng WT, Sabaratnam S, Rasan MI, Parhar I, et al.
    Mol Med Rep, 2015 Oct;12(4):4909-16.
    PMID: 26151677 DOI: 10.3892/mmr.2015.4043
    Gonadotropin‑releasing hormone (GnRH), or its analogues have been demonstrated to exhibit anti‑proliferative effects on tumour cells in ovarian, endometrial and breast cancer through GnRH‑receptors (GnRH‑R). However, the role of GnRH in nasopharyngeal carcinoma (NPC) remains to be elucidated. In order to investigate the effects of GnRH in NPC, the present study examined the expression of the GnRH‑R transcript in NPC and investigated the phenotypic changes in HK1 cells, a recurrent NPC‑derived cell line, upon receiving GnRH treatment. Firstly, the GnRH‑R transcript was demonstrated in the NPC cell lines and four snap frozen biopsies using reverse transcription‑quantitative polymerase chain reaction. In addition, immunohistochemistry revealed the expression of GnRH‑R in two of the eight (25%) NPC specimens. Treatment with GnRH induced a rapid increase in intracellular ionised calcium concentration in the NPC cells. GnRH and its agonists, triptorelin and leuprolide, exerted anti‑proliferative effects on the NPC cells, as determined using an MTS assay. GnRH did not induce any cell cycle arrest in the HK1 cells under the conditions assessed in the present study. Time‑lapse imaging demonstrated a reduction in cell motility in the GnRH‑treated cells. In conclusion, GnRH, or its analogues may have antitumour effects on NPC cells. The consequences of alterations in the levels of GnRH on the progression of NPC require further examination.
  6. Wilailak S, Chan KK, Chen CA, Nam JH, Ochiai K, Aw TC, et al.
    J Gynecol Oncol, 2015 Jan;26(1):46-53.
    PMID: 25310857 DOI: 10.3802/jgo.2015.26.1.46
    The purpose of this study was to develop a risk prediction score for distinguishing benign ovarian mass from malignant tumors using CA-125, human epididymis protein 4 (HE4), ultrasound findings, and menopausal status. The risk prediction score was compared to the risk of malignancy index and risk of ovarian malignancy algorithm (ROMA).
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