Displaying publications 81 - 100 of 420 in total

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  1. Kavitha N, Vijayarathna S, Jothy SL, Oon CE, Chen Y, Kanwar JR, et al.
    Asian Pac J Cancer Prev, 2014;15(18):7489-97.
    PMID: 25292018
    MicroRNAs (miRNAs) are short non-coding RNAs of 20-24 nucleotides that play important roles in carcinogenesis. Accordingly, miRNAs control numerous cancer-relevant biological events such as cell proliferation, cell cycle control, metabolism and apoptosis. In this review, we summarize the current knowledge and concepts concerning the biogenesis of miRNAs, miRNA roles in cancer and their potential as biomarkers for cancer diagnosis and prognosis including the regulation of key cancer-related pathways, such as cell cycle control and miRNA dysregulation. Moreover, microRNA molecules are already receiving the attention of world researchers as therapeutic targets and agents. Therefore, in-depth knowledge of microRNAs has the potential not only to identify their roles in cancer, but also to exploit them as potential biomarkers for cancer diagnosis and identify therapeutic targets for new drug discovery.
    Matched MeSH terms: Biomarkers, Tumor/genetics*
  2. Firoozinia M, Zareian Jahromi M, Moghadamtousi SZ, Nikzad S, Abdul Kadir H
    Int J Med Sci, 2014;11(6):620-5.
    PMID: 24782652 DOI: 10.7150/ijms.8251
    A family of PI3Ks is the lipid kinases, which enhance intracellular pools of phosphatidyl inositol 3,4,5-tri-phosphate (PIP3) through phosphorylating its precursor. Amplifications and deletions of genes, as well as somatic missense of the PIK3CA gene have been described in many human cancer varieties, including of the brain, colon, liver, lung and stomach. Immunohistochemistry and Real-time quantitative PCR tests were used to determine the PIK3CA gene amplification (gene copy number) and to detect protein expression, respectively. The results obtained were analysed and the ratio of PIK3CA to β-actin gene copy number was calculated. Positive gene amplification of PIK3CA was appointed as a copy number of ≥4. Also, PI3K p110α protein expression was scored from 0 to 3+ and the scores of 2+ and 3+ were considered as positive for PI3K p110α protein expression. We studied 50 breast carcinoma samples for PI3K p110α protein expression and PIK3CA gene copy numbers. In general, 36 out of 50 (72%) breast carcinoma samples showed a significant increase in PIK3CA gene amplification. 12 out of 50 (24%) showed positive staining, and 38 out of 50 (76%) showed negative staining for PI3K p110α expression. We have identified no significant relationship between PIK3CA amplification, race (p= 0.630) and histological type (p=0. 731) in breast carcinoma, but correlation of PIK3CA amplification and age showed a significant relationship (p=0. 003) between them. No significant relationship has been identified in correlation of PI3K p110α protein expression compared to age (p=0. 284), race (p=0. 546) and histological type (p=0. 285). Amplification of PIK3CA was frequent in breast carcinoma and occurs in stages of breast carcinoma. Our result shows that there is a relationship between gene amplification and age in breast carcinoma. We suggest that PIK3CA is significant in breast tumorigenesis serve as a prevalent mechanism contributes to the oncogenic activation pathway of PIK3CA in breast cancer.
    Matched MeSH terms: Biomarkers, Tumor/biosynthesis
  3. Chang SW, Abdul-Kareem S, Merican AF, Zain RB
    BMC Bioinformatics, 2013;14:170.
    PMID: 23725313 DOI: 10.1186/1471-2105-14-170
    Machine learning techniques are becoming useful as an alternative approach to conventional medical diagnosis or prognosis as they are good for handling noisy and incomplete data, and significant results can be attained despite a small sample size. Traditionally, clinicians make prognostic decisions based on clinicopathologic markers. However, it is not easy for the most skilful clinician to come out with an accurate prognosis by using these markers alone. Thus, there is a need to use genomic markers to improve the accuracy of prognosis. The main aim of this research is to apply a hybrid of feature selection and machine learning methods in oral cancer prognosis based on the parameters of the correlation of clinicopathologic and genomic markers.
    Matched MeSH terms: Biomarkers, Tumor/analysis*
  4. Hussaini HM, Angel CM, Speight PM, Firth NA, Rich AM
    Head Neck Pathol, 2012 Dec;6(4):471-5.
    PMID: 22427262 DOI: 10.1007/s12105-012-0350-y
    The hallmark of the histology of epithelial-myoepithelial carcinoma (EMC) is the presence of a regular repetitive mixture of bilayered duct-like structures with an outer layer of myoepithelial cells and inner ductal epithelial cells. Clear cell change in the myoepithelial component is common, but clearing of both cell types, giving an impression of a monocellular neoplasm, is rare. A parotid biopsy was received from an 83-year-old male and subject to routine histologic processing for conventional staining and immunohistochemistry. The encapsulated tumour was composed of sheets of PAS/diastase negative clear cells, separated by fibrous septae. The clear myoepithelial cells were positive for S-100 protein, SMA, and p63 and negative for CK19 and surrounded CK19-positive luminal cells. It is important to utilise immunohistochemistry to differentiate this tumour from others with a similar histologic pattern. Information about the behaviour of the double-clear EMC is limited since there are few cases reported.
    Matched MeSH terms: Biomarkers, Tumor/analysis
  5. Liong ML, Lim CR, Yang H, Chao S, Bong CW, Leong WS, et al.
    PLoS One, 2012;7(9):e45802.
    PMID: 23071848 DOI: 10.1371/journal.pone.0045802
    Prostate cancer is a bimodal disease with aggressive and indolent forms. Current prostate-specific-antigen testing and digital rectal examination screening provide ambiguous results leading to both under-and over-treatment. Accurate, consistent diagnosis is crucial to risk-stratify patients and facilitate clinical decision making as to treatment versus active surveillance. Diagnosis is currently achieved by needle biopsy, a painful procedure. Thus, there is a clinical need for a minimally-invasive test to determine prostate cancer aggressiveness. A blood sample to predict Gleason score, which is known to reflect aggressiveness of the cancer, could serve as such a test.
    Matched MeSH terms: Biomarkers, Tumor/blood*
  6. Goh KL, Yoon BK
    J Dig Dis, 2012 Aug;13(8):389-92.
    PMID: 22788923 DOI: 10.1111/j.1751-2980.2012.00609.x
    Pancreatic cancer is notoriously difficult to diagnose until a late stage when curative options are no longer available. Owing to its relatively low incidence and the lack of sensitivity of current diagnostic tool, screening of pancreatic cancer in the general population is not recommended. However, in high-risk individuals, especially those with well-described genetic syndromes and a strong family history of pancreatic cancer, screening can be carried out. Detection of a lesion of the diameter tumor results in long-term cure of the cancer. Endoscopic ultrasound (EUS) is the only diagnostic tool that is able to detect such small lesions. EUS is often combined with endoscopic retrograde cholangiography to augment the diagnostic yield. The conundrum in clinical practice is to differentiate between a malignant and a benign lesion. Resection of the pancreas constitutes major surgery with a high morbidity and mortality. The need continues, therefore, to find even more accurate imaging modalities to diagnose small pancreatic cancers with confidence.
    Matched MeSH terms: Biomarkers, Tumor/blood
  7. Golbabapour S, Pang WW, George J, Pasupati T, Abdul-Rahman PS, Hashim OH
    Int J Mol Sci, 2011;12(2):1030-40.
    PMID: 21541040 DOI: 10.3390/ijms12021030
    The present study was undertaken to develop a rat model for monitoring the early development of breast cancer. Twelve female rats were divided into two groups of six rats that were either treated with N-methyl-N-nitrosourea to induce breast cancer or with bacterial lipopolysaccharide to induce inflammation. Serum samples taken from the rats prior to the treatment were used as controls. By the 14th week, presence of the tumor was detectable by contrast enhanced magnetic resonance imaging and confirmed by histopathology. When the serum proteins of the rats were examined by 2-dimensional electrophoresis (2-DE), no difference could be detected in the profiles of all proteins before and 18 weeks after administration of N-methyl-N-nitrosourea. However, higher expression of alpha-1B glycoprotein was detectable by 2-DE in serum samples of rats at the 18th week post-treatment with lipopolysaccharide.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  8. Lokamani I, Looi ML, Ali SA, Dali AZ, Jamal R
    Anal. Quant. Cytol. Histol., 2011 Aug;33(4):223-8.
    PMID: 21980627
    To assess the immunoexpression of clusterin (CLU) in the progression of cervical neoplasia.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  9. Mokhtar N, Thevarajah M, Ma N, M I
    Asian Pac J Cancer Prev, 2012;13(12):6391-5.
    PMID: 23464464
    BACKGROUND: Ovarian cancer is ranked as the fifth most common cause of cancer death in women. In Malaysia, it is the fourth most common cancer in females. CA125 has been the tumor marker of choice in ovarian cancer but its diagnostic specificity in early stages is only 50%. Hence, there is a critical need to identify an alternative tumor marker that is capable of detecting detect ovarian cancer at an early stage. HE4 is a new tumor marker proposed for the early diagnosis of ovarian cancer and disease recurrence. Currently, none of the normal ranges of HE4 quoted in the literature are based on data for a multiethnic Asian population. Therefore, the aim of this study was to determine reference intervals for HE4 in an Asian population presenting in University Malaya Medical Centre, a tertiary reference hospital.

    MATERIALS AND METHODS: 300 healthy women were recruited comprising 150 premenopausal and 150 postmenopausal women, aged from 20-76 years. All women were subjected to a pelvic ultrasonograph and were confirmed to be free from ovarian pathology on recruitment. Serum HE4 levels were determined by chemiluminescent microparticle immunoassay (CMIA, Abbott Architect). The reference intervals were determined following CLSI guidelines (C28-A2) using a non-parametric method.

    RESULTS: The upper limits of the 95th percentile reference interval (90%CI) for all the women collectively were 64.6 pmol/L, and 58.4 pmol/L for premenopausal) and 69.0 pmol/L for postmenopausal. The concentration of HE4 was noted to increase with age especially in women who were more than 50 years old. We also noted that our proposed reference limit was lower compared to the level given by manufacturer Abbott Architect HE4 kit insert (58.4 vs 70 pmol/L for premenopausal group and 69.0 vs 140 pmol/L in the postmenopausal group). The study also showed a significant difference in HE4 concentrations between ethnic groups (Malays and Indians). The levels of HE4 in Indians appeared higher than in Malays (p<0.05), while no significant differences were noted between the Malays and Chinese ethnic groups.

    CONCLUSIONS: More data are needed to establish a reference interval that will better represent the multiethnic Malaysian population. Probably a larger sampling size of equal representation of the Malay, Chinese, Indians as well as the other native ethnic communities will give us a greater confidence on whether genetics plays a role in reference interval determination.

    Matched MeSH terms: Biomarkers, Tumor/metabolism
  10. Munirah MA, Siti-Aishah MA, Reena MZ, Sharifah NA, Rohaizak M, Norlia A, et al.
    Rom J Morphol Embryol, 2011;52(2):669-77.
    PMID: 21655659
    Breast cancer may be classified into luminal A, luminal B, HER2+/ER-, basal-like and normal-like subtypes based on gene expression profiling or immunohistochemical (IHC) characteristics. The main aim of the present study was to classify breast cancer into molecular subtypes based on immunohistochemistry findings and correlate the subtypes with clinicopathological factors. Two hundred and seventeen primary breast carcinomas tumor tissues were immunostained for ER, PR, HER2, CK5/6, EGFR, CK8/18, p53 and Ki67 using tissue microarray technique. All subtypes were significantly associated with Malay ethnic background (p=0.035) compared to other racial origins. The most common subtypes of breast cancers were luminal A and was significantly associated with low histological grade (p<0.000) and p53 negativity (p=0.003) compared to HER2+/ER-, basal-like and normal-like subtypes with high histological grade (p<0.000) and p53 positivity (p=0.003). Luminal B subtype had the smallest mean tumor size (p=0.009) and also the highest mean number of lymph nodes positive (p=0.032) compared to other subtypes. All markers except EGFR and Ki67 were significantly associated with the subtypes. The most common histological type was infiltrating ductal carcinoma, NOS. Majority of basal-like subtype showed comedo-type necrosis (68.8%) and infiltrative margin (81.3%). Our studies suggest that IHC can be used to identify the different subtypes of breast cancer and all subtypes were significantly associated with race, mean tumor size, mean number of lymph node positive, histological grade and all immunohistochemical markers except EGFR and Ki67.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  11. Mahmoodian H, Hamiruce Marhaban M, Abdulrahim R, Rosli R, Saripan I
    Australas Phys Eng Sci Med, 2011 Apr;34(1):41-54.
    PMID: 21327594 DOI: 10.1007/s13246-011-0054-8
    The classification of the cancer tumors based on gene expression profiles has been extensively studied in numbers of studies. A wide variety of cancer datasets have been implemented by the various methods of gene selection and classification to identify the behavior of the genes in tumors and find the relationships between them and outcome of diseases. Interpretability of the model, which is developed by fuzzy rules and linguistic variables in this study, has been rarely considered. In addition, creating a fuzzy classifier with high performance in classification that uses a subset of significant genes which have been selected by different types of gene selection methods is another goal of this study. A new algorithm has been developed to identify the fuzzy rules and significant genes based on fuzzy association rule mining. At first, different subset of genes which have been selected by different methods, were used to generate primary fuzzy classifiers separately and then proposed algorithm was implemented to mix the genes which have been associated in the primary classifiers and generate a new classifier. The results show that fuzzy classifier can classify the tumors with high performance while presenting the relationships between the genes by linguistic variables.
    Matched MeSH terms: Biomarkers, Tumor/analysis*
  12. Yip CH, Bhoo-Pathy N, Uiterwaal CS, Taib NA, Tan GH, Mun KS, et al.
    Breast, 2011 Apr;20 Suppl 2:S60-4.
    PMID: 21349715 DOI: 10.1016/j.breast.2011.02.004
    Estrogen receptor (ER) positive rates in breast cancer may be influenced by grade, stage, age and race. This study reviews the ER positive rates over a 15-year period at the University Malaya Medical Centre, Kuala Lumpur, Malaysia. Data on ER status of 3557 patients from 1994 to 2008 was analyzed. ER status was determined by immunohistochemistry with a cut-off point of 10%. ER positivity increased by about 2% for every 5-year cohort, from 54.5% in 1994-1998 to 58.4% in 2004-2008. Ethnicity and grade were significantly associated with ER positivity rates: Malay women were found to have a higher risk of ER negative tumors compared with Chinese women. Grade 1 cancers were nine times more likely to be ER positive compared with grade 3 cancers. In summary, the proportion of ER positive cancers increased with each time period, and ethnicity and grade were independent factors that influenced ER positive rates.
    Matched MeSH terms: Biomarkers, Tumor/analysis*
  13. Pailoor J, Iyengar KR, Chan KS, Sumithra S
    Malays J Pathol, 2008 Dec;30(2):115-9.
    PMID: 19291921
    Follicular dendritic cell sarcomas (FDCS) are rare neoplasms that involve lymph nodes or extranodal sites. They show varied histological features and thus can be mistaken for carcinoma or sarcoma. Correct identification is important for further management. A 43-year-old Indian female presented with a three-month history of progressive swelling at the right inguinal region. It was excised completely and was reported as lymph node with metastatic poorly differentiated carcinoma based on Haematoxylin and eosin (H&E) stain findings. Computerized tomography (CT) scans of thorax, abdomen and pelvis were normal and did not reveal a primary site. Following this, the case was referred to one of the authors. The slides were reviewed and a variety of immunocytochemical markers were done. The tumour cells were negative for epithelial, melanocytic, neural, leucocyte and soft tissue tumour markers. They were immunopositive for CD21, CD35 and negative for CD68. Based on the immunocytochemical findings, a final diagnosis of FDCS was made. This case highlights the histological and immunophenotypical profile of a rare tumour which requires a high index of suspicion for diagnosis.
    Matched MeSH terms: Biomarkers, Tumor/analysis
  14. Jayaram G, Elsayed EM
    Acta Cytol., 2005 Nov-Dec;49(6):605-10.
    PMID: 16450899
    To type breast carcinomaon on fine needle aspiration cytology (FNAC) material and correlate the results with histologic typing, to grade breast carcinoma on FNAC material and correlate the findings with Bloom-Richardson histologic grading, and to determine the estrogen receptor (ER) status in cases of breast carcinoma by immunocytochemical (ICC) staining of FNA cytologic material and correlate the findings with ER status, as determined by immunohistochemical (IHC) staining of tissue sections.

    STUDY DESIGN: Seventy-seven cases of breast carcinoma diagnosed on FNAC formed the basis of this study. Typing was done in all cases on the basis of cytologic features and grading in 62. (Fifteen cases were special types of breast carcinoma). In all cases, ER status was determined by immunostaining of cytologic smears. Results of tumor typing, grading and ER status on cytologic material were compared with the results of histologic typing, grading and immunostaining of histologic material obtained from mastectomy or wide excision specimens.

    RESULTS: Tumor typing was accurate in 73 of 77 cases (94.8%). Fifteen of 18 cases that were cytologically grade 3 were confirmed on histology, while 3 proved to be grade 2. Of 40 cytologic grade 2 cases, 26 were confirmed on histology, while 14 cases were grade 3. Three of 4 cytologically grade 1 cases were confirmed on histology while 1 was grade 2. The overall accuracy for cytologic grading was 71% (44 of 62 cases). Thirty-seven of 40 ER-positive cases (92.5%) were labeled ER positive on ICC. One case was ER negative on cytology, while in 2 cases the cellularity of the cytologic smear was insufficient to assess ER expression. Thirty-seven cases were negativefor ER on IHC. Nine of these showed ER positivity on ICC, 26 were negative, and 2 had cellularity that was inadequate for assessment of ER. Sensitivity and specificity rates for ER detection on ICC were 97.4% and 74.3%, respectively.

    CONCLUSION: Tumor typing, grading and evaluation of ER status on FNA C material in breast carcinomas are simple, quick and moderately reliable techniques that compare and correlate favorably with histologic typing, grading and ER status on IHC.
    Matched MeSH terms: Biomarkers, Tumor/analysis*
  15. Sthaneshwar P, Yap SF, Jayaram G
    Malays J Pathol, 2002 Jun;24(1):53-8.
    PMID: 16329556
    Pleural effusion is a common diagnostic problem. The analysis of serum and pleural fluid for tumour markers is widely used as a diagnostic aid in clinical practice. The aim of the present study was to determine the usefulness of simultaneous quantification of carcinoembryonic antigen (CEA) and carbohydrate antigen (CA-125) in distinction of malignant from benign effusion. Data from a total of 78 patients including 53 patients with benign and 25 patients with malignant effusion was evaluated. The cut-off values for differentiating benign from malignant effusions were determined using results obtained from patients with known benign effusions (mean + 2 SD, 95% confidence interval). The cut-off for CEA and CA-125 were 5.1 ng/ml and 1707 IU/ml respectively. CEA assay in pleural fluid had an acceptable sensitivity and good specificity of 64% and 98% respectively. CA-125 had a sensitivity of 36% and specificity of 94%. The combination of the two tumour markers gave a sensitivity of 72% and specificity of 92.4%. We suggest a good clinical strategy may be to begin with CEA measurement (assay specificity 98%); if CEA is below the cut-off value (negative), CA-125 could then be measured to improve the sensitivity of detection of malignant effusions. However, measurement of these tumour markers is not cost effective from the point of view that it does not give information on the type of malignancy present. The latter has to be determined either by histological or cytological study.
    Matched MeSH terms: Biomarkers, Tumor/analysis*
  16. De Rienzo A, Archer MA, Yeap BY, Dao N, Sciaranghella D, Sideris AC, et al.
    Cancer Res, 2016 Jan 15;76(2):319-28.
    PMID: 26554828 DOI: 10.1158/0008-5472.CAN-15-0751
    Malignant pleural mesothelioma (MPM) is an aggressive cancer that occurs more frequently in men, but is associated with longer survival in women. Insight into the survival advantage of female patients may advance the molecular understanding of MPM and identify therapeutic interventions that will improve the prognosis for all MPM patients. In this study, we performed whole-genome sequencing of tumor specimens from 10 MPM patients and matched control samples to identify potential driver mutations underlying MPM. We identified molecular differences associated with gender and histology. Specifically, single-nucleotide variants of BAP1 were observed in 21% of cases, with lower mutation rates observed in sarcomatoid MPM (P < 0.001). Chromosome 22q loss was more frequently associated with the epithelioid than that nonepitheliod histology (P = 0.037), whereas CDKN2A deletions occurred more frequently in nonepithelioid subtypes among men (P = 0.021) and were correlated with shorter overall survival for the entire cohort (P = 0.002) and for men (P = 0.012). Furthermore, women were more likely to harbor TP53 mutations (P = 0.004). Novel mutations were found in genes associated with the integrin-linked kinase pathway, including MYH9 and RHOA. Moreover, expression levels of BAP1, MYH9, and RHOA were significantly higher in nonepithelioid tumors, and were associated with significant reduction in survival of the entire cohort and across gender subgroups. Collectively, our findings indicate that diverse mechanisms highly related to gender and histology appear to drive MPM.
    Matched MeSH terms: Biomarkers, Tumor/genetics
  17. Yip Ch, Bhoo-Pathy N, Daniel J, Foo Y, Mohamed A, Abdullah M, et al.
    Asian Pac J Cancer Prev, 2016;17(3):1077-82.
    PMID: 27039727
    BACKGROUND: The three standard biomarkers used in breast cancer are the estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2). The Ki-67 index, a proliferative marker, has been shown to be associated with a poorer outcome, and despite absence of standardization of pathological assessment, is widely used for therapy decision making. We aim to study the role of the Ki-67 index in a group of Asian women with breast cancer.

    MATERIALS AND METHODS: A total of 450 women newly diagnosed with Stage 1 to 3 invasive breast cancer in a single centre from July 2013 to Dec 2014 were included in this study. Univariable and multivariable logistic regression was used to determine the association between Ki-67 (positive defined as 14% and above) and age, ethnicity, grade, mitotic index, ER, PR, HER2, lymph node status and size. All analyses were performed using SPSS Version 22.

    RESULTS: In univariable analysis, Ki -67 index was associated with younger age, higher grade, ER and PR negativity, HER2 positivity, high mitotic index and positive lymph nodes. However on multivariable analysis only tumour size, grade, PR and HER2 remained significant. Out of 102 stage 1 patients who had ER positive/PR positive/HER2 negative tumours and non-grade 3, only 5 (4.9%) had a positive Ki-67 index and may have been offered chemotherapy. However, it is interesting to note that none of these patients received chemotherapy.

    CONCLUSIONS: Information on Ki67 would have potentially changed management in an insignificant proportion of patients with stage 1 breast cancer.

    Matched MeSH terms: Biomarkers, Tumor/metabolism
  18. Mutalib NS, Yusof AM, Mokhtar NM, Harun R, Muhammad R, Jamal R
    Asian Pac J Cancer Prev, 2016;17(1):25-35.
    PMID: 26838219
    Lymph node metastasis (LNM) in papillary thyroid cancer (PTC) has been shown to be associated with increased risk of locoregional recurrence, poor prognosis and decreased survival, especially in older patients. Hence, there is a need for a reliable biomarker for the prediction of LNM in this cancer. MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene translation or degradation and play key roles in numerous cellular functions including cell-cycle regulation, differentiation, apoptosis, invasion and migration. Various studies have demonstrated deregulation of miRNA levels in many diseases including cancers. While a large number of miRNAs have been identified from PTCs using various means, association of miRNAs with LNM in such cases is still controversial. Furthermore, studies linking most of the identified miRNAs to the mechanism of LNM have not been well documented. The aim of this review is to update readers on the current knowledge of miRNAs in relation to LNM in PTC.
    Matched MeSH terms: Biomarkers, Tumor/genetics
  19. Low WS, Wan Abas WA
    Biomed Res Int, 2015;2015:239362.
    PMID: 25977918 DOI: 10.1155/2015/239362
    Circulating tumor cells (CTCs) are tumor cells that have detached from primary tumor site and are transported via the circulation system. The importance of CTCs as prognostic biomarker is leveraged when multiple studies found that patient with cutoff of 5 CTCs per 7.5 mL blood has poor survival rate. Despite its clinical relevance, the isolation and characterization of CTCs can be quite challenging due to their large morphological variability and the rare presence of CTCs within the blood. Numerous methods have been employed and discussed in the literature for CTCs separation. In this paper, we will focus on label free CTCs isolation methods, in which the biophysical and biomechanical properties of cells (e.g., size, deformability, and electricity) are exploited for CTCs detection. To assess the present state of various isolation methods, key performance metrics such as capture efficiency, cell viability, and throughput will be reported. Finally, we discuss the challenges and future perspectives of CTC isolation technologies.
    Matched MeSH terms: Biomarkers, Tumor/blood*
  20. Sithambaram S, Hilmi I, Goh KL
    PLoS One, 2015;10(7):e0131616.
    PMID: 26158845 DOI: 10.1371/journal.pone.0131616
    M2 pyruvate kinase (M2PK) is an oncoprotein secreted by colorectal cancers in stools. This the first report on the accuracy of a rapid stool test in the detection of colorectal cancer (CRC).
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
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