Displaying publications 41 - 60 of 125 in total

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  1. Zakaria MA, Rajab NF, Chua EW, Selvarajah GT, Masre SF
    Sci Rep, 2021 Nov 18;11(1):22500.
    PMID: 34795360 DOI: 10.1038/s41598-021-01988-8
    Mice have served as an excellent model to understand the etiology of lung cancer for years. However, data regarding dual-stage carcinogenesis of lung squamous cell carcinoma (SCC) remain elusive. Therefore, we aim to develop pre-malignant (PM) and malignant (M) lung SCC in vivo using N-nitroso-tris-chloroethylurea (NTCU). BALB/C mice were allotted into two main groups; PM and M groups which received treatment for 15 and 30 weeks, respectively. Then, the mice in each main group were allotted into three groups; control, vehicle, and cancer (n = 6), which received normal saline, 70% acetone, and 0.04 M NTCU by skin painting, respectively. Histopathologically, we discovered a mix of hyperplasia, metaplasia, and dysplasia lesions in the PM group and intracellular bridge; an SCC feature in the M group. The M group was positive for cytokeratin 5/6 protein which confirmed the lung SCC subtype. We also found significantly higher (P 
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  2. Jeon AJ, Teo YY, Sekar K, Chong SL, Wu L, Chew SC, et al.
    BMC Cancer, 2023 Feb 03;23(1):118.
    PMID: 36737737 DOI: 10.1186/s12885-022-10444-3
    BACKGROUND: Conventional differential expression (DE) testing compares the grouped mean value of tumour samples to the grouped mean value of the normal samples, and may miss out dysregulated genes in small subgroup of patients. This is especially so for highly heterogeneous cancer like Hepatocellular Carcinoma (HCC).

    METHODS: Using multi-region sampled RNA-seq data of 90 patients, we performed patient-specific differential expression testing, together with the patients' matched adjacent normal samples.

    RESULTS: Comparing the results from conventional DE analysis and patient-specific DE analyses, we show that the conventional DE analysis omits some genes due to high inter-individual variability present in both tumour and normal tissues. Dysregulated genes shared in small subgroup of patients were useful in stratifying patients, and presented differential prognosis. We also showed that the target genes of some of the current targeted agents used in HCC exhibited highly individualistic dysregulation pattern, which may explain the poor response rate.

    DISCUSSION/CONCLUSION: Our results highlight the importance of identifying patient-specific DE genes, with its potential to provide clinically valuable insights into patient subgroups for applications in precision medicine.

    Matched MeSH terms: Biomarkers, Tumor/metabolism
  3. Lu B, Natarajan E, Balaji Raghavendran HR, Markandan UD
    Technol Cancer Res Treat, 2023;22:15330338221145246.
    PMID: 36601658 DOI: 10.1177/15330338221145246
    Breast cancer is the most common malignancy and the second most common cause of cancer-related mortality in women. Triple-negative breast cancers do not express estrogen receptors, progesterone receptors, or human epidermal growth factor receptor 2 and have a higher recurrence rate, greater metastatic potential, and lower overall survival rate than those of other breast cancers. Treatment of triple-negative breast cancer is challenging; molecular-targeted therapies are largely ineffective and there is no standard treatment. In this review, we evaluate current attempts to classify triple-negative breast cancers based on their molecular features. We also describe promising treatment methods with different advantages and discuss genetic biomarkers and other prediction tools. Accurate molecular classification of triple-negative breast cancers is critical for patient risk categorization, treatment decisions, and surveillance. This review offers new ideas for more effective treatment of triple-negative breast cancer and identifies novel targets for drug development.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  4. Reena RM, Mastura M, Siti-Aishah MA, Munirah MA, Norlia A, Naqiyah I, et al.
    Ann Diagn Pathol, 2008 Oct;12(5):340-3.
    PMID: 18774496 DOI: 10.1016/j.anndiagpath.2008.04.001
    This is a study aimed to examine the distribution pattern of a specific minichromosome maintenance protein 2 (MCM2) in benign and malignant breast tissue. We also aim to correlate the frequency of expression of MCM2 with the degree of tumor differentiation. We used immunohistochemistry to examine the distribution and expression pattern of MCM2 on formalin-fixed paraffin-embedded tissue sections of benign (n = 30) and malignant breast tissue (n = 70) (IDC 56, DCIS 4, ILC 2, nonductal 4, mixed type 4). We quantified MCM2 expression by calculating a labeling index, which represents the percentage of epithelial nuclei that stained positively. Immunoreactivity was heterogenous in all the 70 malignant cases examined. Epithelial cells in cycle are most frequent at the tumor periphery. Labeling index of MCM2 was greatest in grade 3 (poorly differentiated) and lowest in grade 1 tumors (well differentiated). Minichromosome maintenance protein 2 expression in breast cancer showed a positive association with histologic grade (P < .05). In all the benign breast tissue examined, no proliferating compartments could be characterized. Minichromosome maintenance protein 2 is a useful proliferative marker of breast carcinoma. The frequency of expression of MCM2 showed an inverse correlation with the degree of tumor differentiation.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  5. Haron NH, Mohamad Hanif EA, Abdul Manaf MR, Yaakub JA, Harun R, Mohamed R, et al.
    Asian Pac J Cancer Prev, 2019 Feb 26;20(2):509-517.
    PMID: 30803214
    Introduction: Microsatellite instability (MSI) is a hallmark of defective DNA mismatch repair (MMR) of genes
    especially MLH1 and MSH2. It is frequently involved in the carcinogenesis of various tumours including gastric
    cancer (GC). However, MSI in GCs have not been reported in Malaysia before. Objective: This study was conducted
    to determine the microsatellite instability (MSI) status in gastric cancer by microsatellite analysis, sequencing, its
    association with MLH1 and MSH2 protein expression and H.pylori infection by immunohistochemistry. Method:
    A total of 60 gastric cancer cases were retrieved. DNA was extracted from paired normal and tumour tissues while
    MLH1 and MSH2 protein expression as well as H. pylori status were determined by IHC staining. For microsatellite
    analysis, polymerase chain reaction (PCR) was performed for paired tissue samples using a panel of five microsatellite
    markers. MSI-positive results were subjected for DNA sequencing to assess mutations in the MLH1 and MSH2 genes.
    Results: Microsatellite analysis identified ten MSI positive cases (16.7%), out of which only six cases (10.3%) showed
    absence of MLH1 (n=3) or MSH2 (n=3) protein expression by IHC. The most frequent microsatellite marker in MSI
    positive cases was BAT26 (90%). Nine of ten MSI positive cases were intestinal type with one diffuse and all were
    located distally. H. pylori infection was detected in 13 of 60 cases (21.7%) including in three MSI positive cases. All
    these results however were not statistically significant. Our sequencing data displayed novel mutations. However these
    data were not statistically correlated with expression levels of MLH1 and MSH2 proteins by IHC. This may be due to
    small sample size to detect small or moderately sized effects. Conclusion: The frequency of MSI in this study was
    comparable with published results. Determination of affected MMR genes by more than two antibodies may increase
    the sensitivity of IHC to that of MSI analysis.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  6. Aggarwal T, Wadhwa R, Gupta R, Paudel KR, Collet T, Chellappan DK, et al.
    PMID: 32342824 DOI: 10.2174/1871530320666200428113051
    Regardless of advances in detection and treatment, breast cancer affects about 1.5 million women all over the world. Since the last decade, genome-wide association studies (GWAS) have been extensively conducted for breast cancer to define the role of miRNA as a tool for diagnosis, prognosis and therapeutics. MicroRNAs are small, non-coding RNAs that are associated with the regulation of key cellular processes such as cell multiplication, differentiation, and death. They cause a disturbance in the cell physiology by interfering directly with the translation and stability of a targeted gene transcript. MicroRNAs (miRNAs) constitute a large family of non-coding RNAs, which regulate target gene expression and protein levels that affect several human diseases and are suggested as the novel markers or therapeutic targets, including breast cancer. MicroRNA (miRNA) alterations are not only associated with metastasis, tumor genesis but also used as biomarkers for breast cancer diagnosis or prognosis. These are explained in detail in the following review. This review will also provide an impetus to study the role of microRNAs in breast cancer.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  7. Osei GY, Adu-Amankwaah J, Koomson S, Beletaa S, Asiamah EA, Smith-Togobo C, et al.
    Mol Biol Rep, 2023 Nov;50(11):9575-9585.
    PMID: 37776413 DOI: 10.1007/s11033-023-08810-w
    Colorectal cancer (CRC) is a serious global health concern, with a high incidence and mortality rate. Although there have been advancements in the early detection and treatment of CRC, therapy resistance is common. MicroRNAs (miRNAs), a type of small non-coding RNA that regulates gene expression, are key players in the initiation and progression of CRC. Recently, there has been growing attention to the complex interplay of miRNAs in cancer development. miRNAs are powerful RNA molecules that regulate gene expression and have been implicated in various physiological and pathological processes, including carcinogenesis. By identifying current challenges and limitations of treatment strategies and suggesting future research directions, this review aims to contribute to ongoing efforts to enhance CRC diagnosis and treatment. It also provides a comprehensive overview of the role miRNAs play in CRC carcinogenesis and explores the potential of miRNA-based therapies as a treatment option. Importantly, this review highlights the exciting potential of targeted modulation of miRNA function as a therapeutic approach for CRC.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  8. Zaborowski MP, Lee K, Na YJ, Sammarco A, Zhang X, Iwanicki M, et al.
    Cell Rep, 2019 Apr 02;27(1):255-268.e6.
    PMID: 30943406 DOI: 10.1016/j.celrep.2019.03.003
    Analysis of cancer-derived extracellular vesicles (EVs) in biofluids potentially provides a source of disease biomarkers. At present there is no procedure to systematically identify which antigens should be targeted to differentiate cancer-derived from normal host cell-derived EVs. Here, we propose a computational framework that integrates information about membrane proteins in tumors and normal tissues from databases: UniProt, The Cancer Genome Atlas, the Genotype-Tissue Expression Project, and the Human Protein Atlas. We developed two methods to assess capture of EVs from specific cell types. (1) We used palmitoylated fluorescent protein (palmtdTomato) to label tumor-derived EVs. Beads displaying antibodies of interest were incubated with conditioned medium from palmtdTomato-expressing cells. Bound EVs were quantified using flow cytometry. (2) We also showed that membrane-bound Gaussia luciferase allows the detection of cancer-derived EVs in blood of tumor-bearing animals. Our analytical and validation platform should be applicable to identify antigens on EVs from any tumor type.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  9. Zhou D, Gopinath SCB, Mohamed Saheed MS, Siva Sangu S, Lakshmipriya T
    Int J Nanomedicine, 2020;15:10171-10181.
    PMID: 33363373 DOI: 10.2147/IJN.S284752
    Background: In recent years, nanomaterials have justified their dissemination for biosensor application towards the sensitive and selective detections of clinical biomarkers at the lower levels. MXene is a two-dimensional layered transition metal, attractive for biosensing due to its chemical, physical and electrical properties along with the biocompatibility.

    Materials and Methods: This work was focused on diagnosing osteosarcoma (OS), a common bone cancer, on MXene-modified multiple junction triangles by dielectrode sensing. Survivin protein gene is highly correlated with OS, identified on this sensing surface. Capture DNA was immobilized on MXene by using 3-glycidoxypropyltrimethoxysilane as an amine linker and duplexed by the target DNA sequence.

    Results: The limitation and sensitivity of detection were found as 1 fM with the acceptable regression co-efficient value (y=1.0037⨰ + 0.525; R2=0.978) and the current enhancement was noted when increasing the target DNA concentrations. Moreover, the control sequences of single- and triple-mismatched and noncomplementary to the target DNA sequences failed to hybridize on the capture DNA, confirming the specificity. In addition, different batches were prepared with capture probe immobilized sensing surfaces and proved the efficient reproducibility.

    Conclusion: This microgap device with Mxene-modified multiple junction triangles dielectrode surface is beneficial to quantify the survivin gene at its lower level and diagnosing OS complication levels.

    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  10. Chai BY, Yip WK, Dusa N, Mohtarrudin N, Seow HF
    Pathol Oncol Res, 2020 Oct;26(4):2291-2298.
    PMID: 32462420 DOI: 10.1007/s12253-020-00820-4
    Interleukin-17 (IL-17) is a pro-inflammatory cytokine found in various cancers. Current evidence indicates that IL-17 plays a vital role in tumour initiation and progression in colorectal carcinoma (CRC) via binding with its receptor, IL-17RA. However, the association between clinicopathological features and presence of IL-17 and IL-17RA protein in primary CRC tissues remains unclear. This study also investigates the difference between the presence of IL-17 and IL-17RA in the paired tumour tissues versus adjacent normal tissues. The presence of IL-17RA and IL-17 protein in primary CRC tissues was determined by immunohistochemistry. Associations between clinicopathological features and IL-17RA and IL-17 immunoreactivity, were analyzed by χ2 tests. We found that both IL-17RA (p = 0.001) and IL-17 (p = 0.025) in tumour cells of primary CRC tissues was significantly lower as compared to adjacent normal tissue. Positive immunoreactivity for IL-17RA and IL-17 were detected in 51.0% and 16.8% of tumour tissues, respectively. Furthermore, negative immunoreactivity of IL-17R was significantly associated with advanced stage according to TNM classifier (p = 0.027), high grade of tumour (p = 0.019), increased depth of tumour invasion (p = 0.023) and vascular invasion (p = 0.039). Positive IL-17 immunoreactivity was associated with advanced stage (p = 0.008) and lymph node metastasis (p = 0.008). Thus, this study suggests that the loss of IL-17RA expression occurs as tumour progresses and this may predict the aggressiveness of tumour whilst expression of IL-17 promotes tumour progression and lymph node metastasis. Thus, loss of IL-17RA could be a useful prognostic biomarker for tumour progression in CRC patients.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  11. Shafiee MN, Ortori CA, Barrett DA, Mongan NP, Abu J, Atiomo W
    Int J Mol Sci, 2020 Jul 03;21(13).
    PMID: 32635401 DOI: 10.3390/ijms21134753
    Women with polycystic ovary syndrome (PCOS) are more likely to develop endometrial cancer (EC). The molecular mechanisms which increase the risk of EC in PCOS are unclear. Derangements in lipid metabolism are associated with EC, but there have been no studies, investigating if this might increase the risk of EC in PCOS. This was a cross-sectional study of 102 women in three groups of 34 (PCOS, EC and controls) at Nottingham University Hospital, UK. All participants had clinical assessments, followed by obtaining plasma and endometrial tissue samples. Lipidomic analyses were performed using liquid chromatography (LC) coupled with high resolution mass spectrometry (HRMS) and the obtained lipid datasets were screened using standard software and databases. Using multivariate data analysis, there were no common markers found for EC and PCOS. However, on univariate analyses, both PCOS and EC endometrial tissue samples showed a significant decrease in monoacylglycerol 24:0 and capric acid compared to controls. Further studies are required to validate these findings and investigate the potential role of monoacylglycerol 24:0 and capric acid in the link between PCOS with EC.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  12. Ng KL, Del Vecchio SJ, Samaratunga H, Morais C, Rajandram R, Vesey DA, et al.
    Pathology, 2018 Aug;50(5):504-510.
    PMID: 29970253 DOI: 10.1016/j.pathol.2018.01.007
    One of the challenges in differentiating chromophobe renal cell carcinoma (chRCC) from benign renal oncocytoma (RO) is overlapping morphology between the two subtypes. The aim of this study was to investigate the usefulness of expression of leptin (Ob) and its receptor (ObR) in discriminating chRCC from RO. Sections from paraffin-embedded, formalin-fixed tumour nephrectomy specimens of 45 patients, made up of 30 chRCC (15 eosinophilic variant and 15 non-eosinophilic variant) and 15 RO, were used in this study. Samples (30) of clear cell RCC (ccRCC), the most common histological subtype, were used to verify staining patterns found by others in our cohort of Australasian patients. Matched morphologically normal non-cancer kidney tissues were included for each specimen. Sections were batch-immunostained using antibodies against Ob and ObR. Stained sections were digitally scanned using Aperio ImageScope, and the expression pattern of Ob and ObR was studied. In this cohort, male to female ratio was 2:1; median age was 64 (45-88 years); and median tumour size was 3.8 cm (range 1.2-18 cm). There were 47 (62.7%) T1, seven T2, 20 T3 and one T4 stage RCC. Two patients with ccRCC presented with metastases. Nuclear expression of Ob was significantly higher in RO compared with chRCC. The increased nuclear expression of Ob in RO compared with chRCC may be a useful aid in the difficult histological differentiation of RO from chRCC, especially eosinophilic variants of chRCC.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  13. Mohd Ali NA, Nasaruddin AF, Mohamed SS, Wan Rahman WF
    Asian Pac J Cancer Prev, 2020 Sep 01;21(9):2653-2659.
    PMID: 32986365 DOI: 10.31557/APJCP.2020.21.9.2653
    OBJECTIVE: Phyllodes tumour (PT) is a rare fibroepithelial neoplasm of the breast that carries a risk of malignancy. Histopathological examination remains a gold standard for diagnosis. The usage of the immunohistochemical markers of Ki67 and p53 acts as a supplement method, particularly for the malignant PT. We aim here to study the expression of these markers in PT and to see their relation to the tumour grading.

    METHODOLOGY: We conducted a retrospective cross-sectional study on 57 archived formalin-fixed paraffin-embedded tissue blocks of PT from the years 2015 to 2018 from two hospitals in East Coast Malaysia. The histopathological examination and immunohistochemical stain for Ki67 and p53 were analysed.

    RESULTS: There was an association between clinical descriptive data of skin changes, lump size of more than 3 cm, cytological atypia, stromal hypercellularity, mitosis and immunohistochemistry with the clinical diagnosis of PT. Both marked expression of Ki67 and p53 were seen in borderline and malignant PT. Our study showed that in the presence of high mitotic figures, marked expression of Ki67 was only seen in cases of malignant PT.

    CONCLUSION: We found a significant association of Ki67 and p53 expressions, high mitosis and other descriptive histopathological features in malignant PT. Further study with larger sample size is recommended to predict tumour grade and prognosis as well as the disease-free survival of the tumour. 
    .

    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  14. Othman MI, Majid MI, Singh M, Man CN, Lay-Harn G
    Ann. Clin. Biochem., 2008 May;45(Pt 3):299-306.
    PMID: 18482919 DOI: 10.1258/acb.2007.007104
    Infiltrating ductal carcinoma (IDCA) is the most common type of breast cancer accounting for 85% of all invasive breast cancers.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  15. Liam CK, Mallawathantri S, Fong KM
    Respirology, 2020 09;25(9):933-943.
    PMID: 32335992 DOI: 10.1111/resp.13823
    Molecular biomarker testing of advanced-stage NSCLC is now considered standard of care and part of the diagnostic algorithm to identify subsets of patients for molecular-targeted treatment. Tumour tissue biopsy is essential for an accurate initial diagnosis, determination of the histological subtype and for molecular testing. With the increasing use of small biopsies and cytological specimens for diagnosis and the need to identify an increasing number of predictive biomarkers, proper management of the limited amount of sampling materials available is important. Many patients with advanced NSCLC do not have enough tissue for molecular testing and/or do not have a biopsy-amenable lesion and/or do not want to go through a repeat biopsy given the potential risks. Molecular testing can be difficult or impossible if the sparse material from very small biopsy specimens has already been exhausted for routine diagnostic purposes. A limited diagnostic workup is recommended to preserve sufficient tissue for biomarker testing. In addition, tumour biopsies are limited by tumour heterogeneity, particularly in the setting of disease resistance, and thus may yield false-negative results. Hence, there have been considerable efforts to determine if liquid biopsy in which molecular alterations can be non-invasively identified in plasma cell-free ctDNA, a potential surrogate for the entire tumour genome, can overcome the issues with tissue biopsies and replace the need for the latter.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  16. Saunus JM, Quinn MC, Patch AM, Pearson JV, Bailey PJ, Nones K, et al.
    J Pathol, 2015 Nov;237(3):363-78.
    PMID: 26172396 DOI: 10.1002/path.4583
    Treatment options for patients with brain metastases (BMs) have limited efficacy and the mortality rate is virtually 100%. Targeted therapy is critically under-utilized, and our understanding of mechanisms underpinning metastatic outgrowth in the brain is limited. To address these deficiencies, we investigated the genomic and transcriptomic landscapes of 36 BMs from breast, lung, melanoma and oesophageal cancers, using DNA copy-number analysis and exome- and RNA-sequencing. The key findings were as follows. (a) Identification of novel candidates with possible roles in BM development, including the significantly mutated genes DSC2, ST7, PIK3R1 and SMC5, and the DNA repair, ERBB-HER signalling, axon guidance and protein kinase-A signalling pathways. (b) Mutational signature analysis was applied to successfully identify the primary cancer type for two BMs with unknown origins. (c) Actionable genomic alterations were identified in 31/36 BMs (86%); in one case we retrospectively identified ERBB2 amplification representing apparent HER2 status conversion, then confirmed progressive enrichment for HER2-positivity across four consecutive metastatic deposits by IHC and SISH, resulting in the deployment of HER2-targeted therapy for the patient. (d) In the ERBB/HER pathway, ERBB2 expression correlated with ERBB3 (r(2)  = 0.496; p < 0.0001) and HER3 and HER4 were frequently activated in an independent cohort of 167 archival BM from seven primary cancer types: 57.6% and 52.6% of cases were phospho-HER3(Y1222) or phospho-HER4(Y1162) membrane-positive, respectively. The HER3 ligands NRG1/2 were barely detectable by RNAseq, with NRG1 (8p12) genomic loss in 63.6% breast cancer-BMs, suggesting a microenvironmental source of ligand. In summary, this is the first study to characterize the genomic landscapes of BM. The data revealed novel candidates, potential clinical applications for genomic profiling of resectable BMs, and highlighted the possibility of therapeutically targeting HER3, which is broadly over-expressed and activated in BMs, independent of primary site and systemic therapy.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  17. Teoh CS, Lee SY, Chiang SK, Chew TK, Goh AS
    Asian Pac J Cancer Prev, 2018 May 26;19(5):1229-1236.
    PMID: 29801406
    Background: Diffuse large B-cell lymphoma (DLBCL) with double expression of c-MYC and BCL2 protein is
    associated with dismal outcome after treatment with R-CHOP. Local data on disease burden and survival outcome in
    DLBCL is limited. We investigated the prognostic values of c-MYC/BCL2 protein co-expression and cell of origin
    subtypes using immunohistochemistry (IHC) and to determine their associations with multiethnic groups under
    resource limited setting. Methods: This was a retrospective study which recruited 104 patients in between June 2012
    and December 2015 for IHC review and analysis. Result: We demonstrated that patients with high International
    Prognostic Index (IPI) (score 3-5) and co-expression of c-MYC/BCL2 protein had significant inferior overall survival
    (OS) and event free survival (EFS) respectively (P<0.05). c-MYC/BCL2 protein co-expression was more common in
    non-germinal center B-cell (non-GCB) (P=0.048) and contributed to adverse prognosis in this group of patients (OS,
    P=0.004; EFS, P=0.005). In multivariate analysis, double-protein co-expression was a significant independent predictor
    of inferior outcome after adjusted for IPI and cell of origin subtypes (OS hazard ratio [HR], 2.11; 95% CI, 1.01 to 4.04;
    P=0.048; EFS HR, 2.31; 95% CI, 1.05 to 5.04; P=0.036). In addition, non-GCB subtype was more common than GCB
    in Malays (60% vs 40%, P=0.106) and Chinese (81.2% vs 18.8%, P=0.042). Indians had more DLBCL without c-MYC/
    BCL2 protein co-expression compared to double-protein positive cases (66.7% vs 33.3%, P=0.414). Otherwise, the
    prognostic impact of ethnicity on survival outcome was insignificant (P=0.961). Conclusion: c-MYC/BCL2 protein
    co-expression in non-GCB subtype constituted a unique group with extremely inferior outcome regardless of ethnicity.
    Gene expression profile (GEP) may possibly provide insights into the cause of discrepancies in DLBCL subtypes and
    protein expression among the multiethnic groups.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  18. Zhang H, Ramamoorthy A, Rengarajan T, Iyappan P, Alahmadi TA, Wainwright M, et al.
    J Biochem Mol Toxicol, 2024 Jan;38(1):e23578.
    PMID: 37927152 DOI: 10.1002/jbt.23578
    Lung cancer is one of the most common cancers in men. Although many diagnostic and treatment regimens have been followed in the treatment for lung cancer, increasing mortality rate due to lung cancer is depressing and hence requires alternative plant based therapeutics with with less side-effects. Myrtenol exhibits anti-inflammatory and antioxidant properties. Hence we intended to study the effect of Myrtenol on B(a)P-induced lung cancer. Our study showed that B(a)P lowered hematological count, decreased phagocyte and avidity indices, nitroblue tetrazolium (NBT) reduction, levels of immunoglubulins, antioxidant levels, whereas Myrtenol treatment restored them back to normal levels. On the other hand, xenobiotic and liver dysfunction marker enzymes and pro-inflammatory cytokines were elevated on B(a)P exposure, which retuned back to normal by Myrtenol. This study thus describes the immunomodulatory and antioxidant effects of Myrtenol on B[a]P-induced immune destruction.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  19. Othman EQ, Kaur G, Mutee AF, Muhammad TS, Tan ML
    J Clin Lab Anal, 2009;23(4):249-58.
    PMID: 19623642 DOI: 10.1002/jcla.20309
    Autophagy is a protein degradation process within the cell and its deregulation has been linked to various diseases and the formation of cancer. One of the important proteins involved in the autophagy process is microtubule-associated protein 1 light chain 3 (MAP1LC3). The aims of this study were to determine the MAP1LC3A and MAP1LC3B protein expression in both normal and cancer breast tissues and to determine the relationship between the expression of these proteins and type of tissues. Immunohistochemistry assessments were carried out on tissue microarrays consisting of breast tissues. MAP1LC3A expression was detected in 52/56 of normal breast tissue cores and 65/67 of breast cancer tissue cores. MAP1LC3B expression was detected in 55/56 of normal breast tissue cores and 67/67 of breast cancer tissue cores. MAP1LC3A and MAP1LC3B protein are expressed in the majority of normal and cancer breast tissues. A large number of MAP1LC3A and MAP1LC3B positive breast cancer tissues cores have high proportion of stained cells (81-100%) as compared with normal breast tissues. However, a significantly higher number of breast cancer tissues were found to express the MAP1LC3A protein with strong immunoreactivity as compared with the normal tissues, suggesting that MAP1LC3A may play a role in breast cancer development.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  20. Lim SR, Gooi BH, Gam LH
    Cancer Biomark, 2012;12(4):185-98.
    PMID: 23568009 DOI: 10.3233/CBM-130307
    Detection of low abundance proteins always possesses challenges even with the currently available proteomics technologies.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
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