Displaying publications 1 - 20 of 432 in total

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  1. Liquid biopsies and exosomal ncRNA: Transforming pancreatic cancer diagnostics and therapeutics
    Balaraman AK, Moglad E, Afzal M, Babu MA, Goyal K, Roopashree R, et al.
    Clin Chim Acta, 2025 Feb 01;567:120105.
    PMID: 39706249 DOI: 10.1016/j.cca.2024.120105
    Pancreatic cancer is a highly fatal malignancy due to poor early detection rate and resistance to conventional therapies. This review examines the potential for liquid biopsy as a transformative technology to identify diagnostic and therapeutic targets in pancreatic cancer. Specifically, we explore emerging biomarkers such as exosomal non-coding RNAs (ncRNAs), circulating tumor DNA (ctDNA), and circulating tumor cells (CTCs). Tumor-derived exosomes contain nucleic acid and protein that reflect the unique molecular landscape of the malignancy and can serve as an alternative diagnostic approach vs traditional biomarkers like CA19-9. Herein we highlight exosomal miRNAs, lncRNAs, and other ncRNAs alongside ctDNA and CTC-based strategies, evaluating their combined ability to improve early detection, disease monitoring and treatment response. Furthermore, the therapeutic implications of ncRNAs such as lncRNA UCA1 and miR-3960 in chemoresistance and progression are also discussed via suppression of EZH2 and PTEN/AKT pathways. Emerging therapeutic strategies that target the immune response, epithelial-mesenchymal transition (EMT) and drug resistance are explored. This review demonstrates a paradigm shift in pancreatic cancer management toward personalized, less invasive and more effective approaches.
    Matched MeSH terms: Biomarkers, Tumor/genetics
  2. Ferroptosis-Related Long Noncoding RNA Signature Predicts Prognosis of Clear Cell Renal Carcinoma
    Liu JW, Supandi F, Dhillon SK
    Folia Biol (Praha), 2022;68(1):1-15.
    PMID: 36201853
    Clear cell renal cell carcinoma (ccRCC) is very common and accounts for most kidney cancer deaths. While many studies are being conducted in finding the prognostic signatures of ccRCC, we believe that ferroptosis, which involves programmed cell death dependent on iron accumulation, has therapeutic potential in ccRCC. Recent research has shown that long noncoding RNAs (lncRNAs) are involved in ferroptosis-related tumour processes and are closely related to survival in patients with ccRCC. Hence, in this study we aim to further explore the role of ferroptosis-related lncRNAs (FRLs) in ccRCC, hoping to establish a signature to predict the survival outcome of ccRCC. We analysed transcriptome data from The Cancer Genome Atlas database (TCGA) and ferroptosis-related genes (FRGs) from FerrDb to identify FRLs using Pearson's correlation. Lasso Cox regression analysis and multivariate Cox proportional hazards models screened seventeen optimal FRLs for developing prognostic signatures. Kaplan-Meier survival curves and ROC curves were then plotted for validating the sensitivity, specificity, and accuracy of the identified signatures. Gene Set Enrichment Analysis and CIBERSORT algorithm were deployed to explore the role of these FRLs in the tumour microenvironment. It was concluded that these models demonstrate excellent performance in predicting prognosis among patients with ccRCC, also indicating association with the clinicopathologic parameters such as tumour grade, tumour stage and tumour immune infiltration. In conclusion, our findings provide novel insights into ferroptosis-related lncRNAs in ccRCC, which are important targets for investigating the tumorigenesis of ccRCC.
    Matched MeSH terms: Biomarkers, Tumor/genetics; Biomarkers, Tumor/metabolism
  3. Fulltext HBME-1 expression in differentiating benign and malignant thyroid lesions
    Noor ‘Ain, M.N., Nordashima, A.S., Mazne, M., Azyani, Y., Mohd Rohaizat, H.
    Medicine & Health, 2020;15(1):187-197.
    MyJurnal
    Karsinoma tiroid biasanya didiagnoskan berdasarkan kriteria morfologi tertentu. Dalam sesetengah kes, diagnosis yang tepat mungkin sukar apabila ciri-ciri morfologi adalah tidak ketara. Kajian ini menilai kegunaan Hector Battifora Mesothelial-1 (HBME-1) sebagai penanda immunohistokimia untuk membezakan tisu tiroid barah dengan bukan barah dan untuk membandingkan ekspresi HBME-1 dalam pelbagai jenis tisu tiroid. Sensitiviti dan spesifisiti HBME-1 sebagai penanda khusus untuk karsinoma tiroid juga dikaji. Sejumlah 54 kes barah dan 54 kes bukan barah tiroid yang didiagnos di Pusat Perubatan Universiti Kebangsaan Malaysia untuk tempoh tujuh tahun telah dikumpul. Semua kes diwarnai dengan HBME-1 dan dinilai oleh tiga pemerhati bebas. Kes-kes tersebut diberi skor berdasarkan nisbah pewarnaan dan dinilai sebagai skor 0 (kurang daripada 10%), 1+ (10-25%), 2+ (26-50%) atau 3+ (lebih daripada 50%). Di samping itu, perkaitan antara skor bagi kes barah dengan peringkat patologi tumor juga dikaji. HBME-1 menunjukkan ungkapan pewarnaan yang lebih signifikan dalam kes barah berbanding bukan barah (P
    Matched MeSH terms: Biomarkers, Tumor
  4. Salivaomics in head and neck cancer
    Saravanan C, S M N Mydin RB, Mohamed Sheriff NR, Kaur G, Singh Dhaliwal S, Musa MY
    Clin Chim Acta, 2025 Jan 15;565:119952.
    PMID: 39216814 DOI: 10.1016/j.cca.2024.119952
    Salivaomics is a promising method for the early detection and monitoring of head and neck cancer (HNC). By analyzing salivary proteomics, RNA, and DNA, it identifies biomarkers that distinguish HNC patients from healthy individuals. Saliva's non-invasive, easily collectible nature and affordability make it an advantageous screening tool. Multiomics approaches, which explore genetic mutations, gene expression patterns, protein profiles, and metabolite levels, provide a comprehensive molecular perspective that enhances clinical applicability. The approaches enhance the precision of diagnoses, enable the development and application of targeted therapies, and contribute to the overall advancement of personalized medicine. Despite its potential, larger-scale studies are essential for validating biomarkers, and assessing sensitivity, accuracy, and specificity in detecting HNC. This review highlights salivaomics' potential as a non-invasive, accessible biological sample for early disease detection in HNC and underscores the value of multiomics in advancing this research. Salivaomics offers significant insights into the underlying mechanisms of HNC, enabling the discovery of robust, non-invasive biomarkers for improved disease management.
    Matched MeSH terms: Biomarkers, Tumor/analysis; Biomarkers, Tumor/genetics; Biomarkers, Tumor/metabolism
  5. Fulltext Utility of PIVKA-II and AFP in Differentiating Hepatocellular Carcinoma from Non-Malignant High-Risk Patients
    Hadi H, Wan Shuaib WMA, Raja Ali RA, Othman H
    Medicina (Kaunas), 2022 Jul 28;58(8).
    PMID: 36013482 DOI: 10.3390/medicina58081015
    Background and Objectives: We aim to compare the diagnostic performance of Protein induced by vitamin K absence-II (PIVKA-II), a biomarker for hepatocellular carcinoma (HCC), and alpha-fetoprotein (AFP) in differentiating HCC and non-malignant high-risk (NMHR) groups and to determine their cut-off values. Materials and Methods: A total of 163 patients, including 40 with HCC and 123 with NMHR (100 with liver cirrhosis and 23 with non-cirrhotic high-risk patients) were prospectively enrolled. The levels of AFP and PIVKA-II were measured, and their cut-off values were determined. We calculated and compared the areas under the receiver operating characteristic (AUROC) curves of PIVKA-II, AFP, and their combination. Results: The levels of PIVKA-II and AFP were found to be significantly higher in the HCC compared to NMHR patients (p < 0.0001). For the differentiation of HCC from NMHR, the optimal cutoff values for PIVKA-II and AFP were 36.7 mAU/mL (90% sensitivity; 82.1% specificity) and 14.2 ng/mL (75% sensitivity; 93.5% specificity), respectively. The AUROC of PIVKA-II (0.905, p < 0.0001) was higher compared to AFP (0.869, p < 0.0001), but the combination of PIVKA−II and AFP gave the highest AUROC value (0.911, p < 0.0001). However, their differences were not statistically significant (AFP vs. PIVKA; p = 0.4775, AFP vs. Combination; p = 0.3808, PIVKA vs. Combination; p = 0.2268). Conclusions: PIVKA-II and AFP showed equal performance in detecting HCC in high-risk patients. AFP as a screening marker for HCC may be adequate, and replacing or adding the PIVKA-II test in current clinical practice may be of little value.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  6. Fulltext Clinical Investigation of Chemotherapeutic Resistance and miRNA Expressions in Head and Neck Cancers: A Thorough PRISMA Compliant Systematic Review and Comprehensive Meta-Analysis
    Jayaraj R, Polpaya K, Kunale M, Kodiveri Muthukaliannan G, Shetty S, Baxi S, et al.
    Genes (Basel), 2022 Dec 10;13(12).
    PMID: 36553594 DOI: 10.3390/genes13122325
    Background: Chemoresistance is a significant barrier to combating head and neck cancer, and decoding this resistance can widen the therapeutic application of such chemotherapeutic drugs. This systematic review and meta-analysis explores the influence of microRNA (miRNA) expressions on chemoresistance in head and neck cancers (HNC). The objective is to evaluate the theragnostic effects of microRNA expressions on chemoresistance in HNC patients and investigate the utility of miRNAs as biomarkers and avenues for new therapeutic targets. Methods: We performed a comprehensive bibliographic search that included the SCOPUS, PubMed, and Science Direct bibliographic databases. These searches conformed to a predefined set of search strategies. Following the PRISMA guidelines, inclusion and exclusion criteria were framed upon completing the literature search. The data items extracted were tabulated and collated in MS Excel. This spreadsheet was used to determine the effect size estimation for the theragnostic effects of miRNA expressions on chemoresistance in HNC, the hazard ratio (HR), and 95% confidence intervals (95% CI). The comprehensive meta-analysis was performed using the random effects model. Heterogeneity among the data collected was assessed using the Q test, Tau2, I2, and Z measures. Publication bias of the included studies was checked using the Egger's bias indicator test, Orwin and classic fail-safe N test, Begg and Mazumdar rank collection test, and Duval and Tweedie's trim and fill methods. Results: After collating the data from 23 studies, dysregulation of 34 miRNAs was observed in 2189 people. These data were gathered from 23 studies. Out of the 34 miRNAs considered, 22 were up-regulated, while 12 were down-regulated. The TaqMan transcription kits were the most used miRNA profiling platform, and miR-200c was seen to have a mixed dysregulation. We measured the overall pooled effect estimate of HR to be 1.516 for the various analyzed miRNA at a 95% confidence interval of 1.303-1.765, with a significant p-value. The null hypothesis test's Z value was 5.377, and the p-value was correspondingly noted to be less than 0.0001. This outcome indicates that the risk of death is determined to be higher in up-regulated groups than in down-regulated groups. Among the 34 miRNAs that were investigated, seven miRNAs were associated with an improved prognosis, especially with the overexpression of these seven miRNAs (miR15b-5p, miR-548b, miR-519d, miR-1278, miR-145, miR-200c, Hsa- miR139-3p). Discussion: The findings reveal that intricate relationships between miRNAs' expression and chemotherapeutic resistance in HNC are more likely to exist and can be potential therapeutic targets. This review suggests the involvement of specific miRNAs as predictors of chemoresistance and sensitivity in HNC. The examination of the current study results illustrates the significance of miRNA expression as a theragnostic biomarker in medical oncology.
    Matched MeSH terms: Biomarkers, Tumor/genetics
  7. Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma
    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/genetics; Biomarkers, Tumor/metabolism
  8. Lipid Fraction Derived From MRI In- and Opposed-Phase Sequence as a Novel Biomarker for Predicting Survival Outcome of Glioma
    Seow P, Narayanan V, Romelean RJ, Wong JHD, Win MT, Chandran H, et al.
    Acad Radiol, 2020 02;27(2):180-187.
    PMID: 31155487 DOI: 10.1016/j.acra.2019.04.015
    RATIONALE AND PURPOSE: Our study evaluated the capability of magnetic resonance imaging in- and opposed-phase (IOP) derived lipid fraction as a novel prognostic biomarker of survival outcome in glioma.

    MATERIALS AND METHODS: We analyzed 46 histologically proven glioma (WHO grades II-IV) patients using standard 3T magnetic resonance imaging brain tumor protocol and IOP sequence. Lipid fraction was derived from the IOP sequence signal-loss ratio. The lipid fraction of solid nonenhancing region of glioma was analyzed, using a three-group analysis approach based on volume under surface of receiver-operating characteristics to stratify the prognostic factors into three groups of low, medium, and high lipid fraction. The survival outcome was evaluated, using Kaplan-Meier survival analysis and Cox regression model.

    RESULTS: Significant differences were seen between the three groups (low, medium, and high lipid fraction groups) stratified by the optimal cut-off point for overall survival (OS) (p ≤ 0.01) and time to progression (p ≤ 0.01) for solid nonenhancing region. The group with high lipid fraction had five times higher risk of poor survival and earlier time to progression compared to the low lipid fraction group. The OS plot stratified by lipid fraction also had a strong correlation with OS plot stratified by WHO grade (R = 0.61, p < 0.01), implying association to underlying histopathological changes.

    CONCLUSION: The lipid fraction of solid nonenhancing region showed potential for prognostication of glioma. This method will be a useful adjunct in imaging protocol for treatment stratification and as a prognostic tool in glioma patients.

    Matched MeSH terms: Biomarkers, Tumor/analysis*
  9. Fulltext Addressing the Clinical Feasibility of Adopting Circulating miRNA for Breast Cancer Detection, Monitoring and Management with Artificial Intelligence and Machine Learning Platforms
    Ling L, Aldoghachi AF, Chong ZX, Ho WY, Yeap SK, Chin RJ, et al.
    Int J Mol Sci, 2022 Dec 06;23(23).
    PMID: 36499713 DOI: 10.3390/ijms232315382
    Detecting breast cancer (BC) at the initial stages of progression has always been regarded as a lifesaving intervention. With modern technology, extensive studies have unraveled the complexity of BC, but the current standard practice of early breast cancer screening and clinical management of cancer progression is still heavily dependent on tissue biopsies, which are invasive and limited in capturing definitive cancer signatures for more comprehensive applications to improve outcomes in BC care and treatments. In recent years, reviews and studies have shown that liquid biopsies in the form of blood, containing free circulating and exosomal microRNAs (miRNAs), have become increasingly evident as a potential minimally invasive alternative to tissue biopsy or as a complement to biomarkers in assessing and classifying BC. As such, in this review, the potential of miRNAs as the key BC signatures in liquid biopsy are addressed, including the role of artificial intelligence (AI) and machine learning platforms (ML), in capitalizing on the big data of miRNA for a more comprehensive assessment of the cancer, leading to practical clinical utility in BC management.
    Matched MeSH terms: Biomarkers, Tumor/genetics
  10. The significance of CD14 in clear cell renal cell carcinoma progression and survival prognosis
    Yap NY, Ong TA, Pailoor J, Gobe G, Rajandram R
    Biomarkers, 2023 Feb;28(1):24-31.
    PMID: 36315054 DOI: 10.1080/1354750X.2022.2142292
    Purpose: CD14-positive tumour and immune cells have been implicated in cancer progression. This study evaluated the prognostic significance of CD14 immunostaining in clear cell renal cell carcinoma (ccRCC) compared to the adjacent non-cancer kidney, and serum soluble CD14 (sCD14) levels in patients versus controls.Methods: Immunohistochemistry was performed for CD14 on ccRCC and the corresponding adjacent non-cancer kidney tissue from 88 patients. Staining intensity was determined using Aperio ImageScope morphometry. Serum sCD14 was evaluated for 39 ccRCC patients and 38 non-cancer controls using ELISA. CD14 levels were compared with tumour characteristics and survival status.Results: CD14 overall and nuclear immunostaining was higher in ccRCC compared to the adjacent non-cancer kidney tissue. CD14 nuclear immunostaining in the adjacent non-cancer kidney was significantly associated with advanced stage and adverse RCC survival prognosis. Serum sCD14 concentration was elevated in ccRCC patients compared to non-cancer controls and was also significantly associated with tumour stage and worse survival prognosis. Higher CD14 expression, in particular CD14 positive immune cell infiltrates found in the adjacent non-RCC kidney tissue, were associated with tumour progression and poorer prognosis.Conclusion: The levels of CD14 in non-RCC adjacent kidney and serum could be potential prognostic indicators.
    Matched MeSH terms: Biomarkers, Tumor/metabolism
  11. Fulltext CCAT 1- A Pivotal Oncogenic Long Non-Coding RNA in Colorectal Cancer
    Liau XL, Salvamani S, Gunasekaran B, Chellappan DK, Rhodes A, Ulaganathan V, et al.
    Br J Biomed Sci, 2023;80:11103.
    PMID: 37025163 DOI: 10.3389/bjbs.2023.11103
    Colorectal cancer (CRC) is ranked as the third most common cancer and second deadliest cancer in both men and women in the world. Currently, the cure rate and 5-year survival rate of CRC patients remain relatively low. Therefore, discovering a novel molecular biomarker that can be used to improve CRC screening, diagnosis, prognosis, and treatment would be beneficial. Long non-coding RNA colon cancer-associated transcript 1 (CCAT 1) has been found overexpressed in CRC and is associated with CRC tumorigenesis and treatment outcome. CCAT 1 has a high degree of specificity and sensitivity, it is readily detected in CRC tissues and is significantly overexpressed in both premalignant and malignant CRC tissues. Besides, CCAT 1 is associated with clinical manifestation and advanced features of CRC, such as lymph node metastasis, high tumor node metastasis stage, differentiation, invasion, and distant metastasis. In addition, they can upregulate oncogenic c-MYC and negatively modulate microRNAs via different mechanisms of action. Furthermore, dysregulated CCAT 1 also enhances the chemoresistance in CRC cells while downregulation of them reverses the malignant phenotypes of cancer cells. In brief, CCAT 1 serves as a potential screening, diagnostic and prognostic biomarker in CRC, it also serves as a potential therapeutic marker to treat CRC patients.
    Matched MeSH terms: Biomarkers, Tumor/genetics
  12. Association of microRNA-21 expression with breast cancer subtypes and its potential as an early biomarker
    Lee SH, Brianna
    Pathol Res Pract, 2024 Feb;254:155073.
    PMID: 38218039 DOI: 10.1016/j.prp.2023.155073
    Breast cancer has become the most diagnosed cancer worldwide in 2020 with high morbidity and mortality rates. The alarming increase in breast cancer incidence has sprung many researchers to focus on developing novel screening tests to identify early breast cancer which will allow clinicians to provide timely and effective treatments. With much evidence supporting the notion that the deregulation of miRNAs (a class of non-coding RNA) greatly contributes to cancer initiation and progression, the promising role of miRNAs as cancer biomarkers is gaining traction in the research world. Among the upregulated miRNAs identified in breast carcinogenesis, miR-21 was shown to be significantly expressed in breast cancer tissues and bodily fluids of breast cancer patients. Therein, this review paper aims to provide an overview of breast cancer, the role and significance of miR-21 in breast cancer pathogenesis, and its potential as a breast cancer biomarker. The paper also discusses the current types of tumor biomarkers and their limitations, the presence of miR-21 in extracellular vesicles and plasma, screening methods available for miRNA detection along with some challenges faced in developing diagnostic miR-21 testing for breast cancer to provide readers with a comprehensive outlook based on using miR-21 in clinical settings.
    Matched MeSH terms: Biomarkers, Tumor/genetics
  13. Fulltext The Uprising of Mitochondrial DNA Biomarker in Cancer
    Mohd Khair SZN, Abd Radzak SM, Mohamed Yusoff AA
    Dis Markers, 2021;2021:7675269.
    PMID: 34326906 DOI: 10.1155/2021/7675269
    Cancer is a heterogeneous group of diseases, the progression of which demands an accumulation of genetic mutations and epigenetic alterations of the human nuclear genome or possibly in the mitochondrial genome as well. Despite modern diagnostic and therapeutic approaches to battle cancer, there are still serious concerns about the increase in death from cancer globally. Recently, a growing number of researchers have extensively focused on the burgeoning area of biomarkers development research, especially in noninvasive early cancer detection. Intergenomic cross talk has triggered researchers to expand their studies from nuclear genome-based cancer researches, shifting into the mitochondria-mediated associations with carcinogenesis. Thus, it leads to the discoveries of established and potential mitochondrial biomarkers with high specificity and sensitivity. The research field of mitochondrial DNA (mtDNA) biomarkers has the great potential to confer vast benefits for cancer therapeutics and patients in the future. This review seeks to summarize the comprehensive insights of nuclear genome cancer biomarkers and their usage in clinical practices, the intergenomic cross talk researches that linked mitochondrial dysfunction to carcinogenesis, and the current progress of mitochondrial cancer biomarker studies and development.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  14. Fulltext Molecular Classification, Treatment, and Genetic Biomarkers in Triple-Negative Breast Cancer: A Review
    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/genetics; Biomarkers, Tumor/metabolism
  15. MicroRNAs and colorectal cancer: clinical potential and regulatory networks
    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/genetics; Biomarkers, Tumor/metabolism
  16. Roles of miRNAs in regulating ovarian cancer stemness
    Chong ZX
    Biochim Biophys Acta Rev Cancer, 2024 Nov;1879(6):189191.
    PMID: 39353485 DOI: 10.1016/j.bbcan.2024.189191
    Ovarian cancer is one of the gynaecology malignancies with the highest mortality rate. Ovarian cancer stem cell (CSC) is a subpopulation of ovarian cancer cells with increased self-renewability, aggression, metastatic potentials, and resistance to conventional anti-cancer therapy. The emergence of ovarian CSC is a critical factor that promotes treatment resistance and frequent relapse among ovarian cancer patients, leading to poor clinical outcomes. MicroRNA (miRNA) is a short, non-protein-coding RNA that regulates ovarian CSC development. Although multiple original research articles have discussed the CSC-regulatory roles of different miRNAs in ovarian cancer, there is a deficiency of a review article that can summarize the findings from different research papers. To narrow the gap in the literature, this review aimed to provide an up-to-date summary of the CSC-regulatory roles of various miRNAs in modulating ovarian cancer cell stemness. This review will begin by giving an overview of ovarian CSC and the pathways responsible for driving its appearance. Next, the CSC-regulatory roles of miRNAs in controlling ovarian CSC development will be discussed. Overall, more than 60 miRNAs have been reported to play CSC-regulatory roles in the development and progression of ovarian cancer. By targeting various downstream targets, these miRNAs can control the signaling activities of PI3K/AKT, EGFR/ERK, WNT/ß-catenin, NF-kß, Notch, Hippo/YAP, EMT, and DNA repair pathways. Hence, these CSC-modulatory miRNAs have the potential to be used as prognostic biomarkers in predicting the clinical outcomes of ovarian cancer patients. Targeting CSC-promoting miRNAs or increasing the expressions of CSC-repressing miRNAs can help slow ovarian cancer progression. However, more in-depth functional and clinical trials must be carried out to evaluate the suitability, safety, sensitivity, and specificity of these CSC-regulating miRNAs as prognostic biomarkers or therapeutic targets.
    Matched MeSH terms: Biomarkers, Tumor/genetics; Biomarkers, Tumor/metabolism
  17. Upregulated PCAT-1 predicts poor prognosis and reduced immune cell infiltration in head and neck squamous cell carcinoma through the miR-145-5p / FSCN-1 axis
    Pirhoushiaran M, Heidarzadehpilehrood R, Mokhtarinejad M, Hesami S, Rezaei N, Farahani AS
    Mol Biol Rep, 2025 Jan 13;52(1):121.
    PMID: 39806246 DOI: 10.1007/s11033-024-10208-1
    BACKGROUND: LncRNA PCAT-1 is known to promote cancer proliferation, invasion, and metastasis. However, its significance in HNSCC is not fully understood. This research investigates how the PCAT-1 / miR-145-5p / FSCN-1 axis promote HNSCC.

    METHODS AND RESULTS: We analyzed the gene expression patterns on 238 fresh-frozen samples, comparing tumors with their normal adjacent tissues (NATs). HNSCC samples showed higher PCAT-1 and FSCN-1 expression compared to NATs (p 

    Matched MeSH terms: Biomarkers, Tumor/genetics; Biomarkers, Tumor/metabolism
  18. Fulltext Epigenetic Biomarkers and the Wnt/β-Catenin Pathway in Opisthorchis viverrini-associated Cholangiocarcinoma: A Scoping Review on Therapeutic Opportunities
    Kafle A, Suttiprapa S, Muhammad M, Tenorio JCB, Mahato RK, Sahimin N, et al.
    PLoS Negl Trop Dis, 2024 Sep;18(9):e0012477.
    PMID: 39236081 DOI: 10.1371/journal.pntd.0012477
    BACKGROUND: Epigenetic modifications, such as DNA methylation and histone modifications, are pivotal in regulating gene expression pathways related to inflammation and cancer. While there is substantial research on epigenetic markers in cholangiocarcinoma (CCA), Opisthorchis viverrini-induced cholangiocarcinoma (Ov-CCA) is overlooked as a neglected tropical disease (NTD) with limited representation in the literature. Considering the distinct etiological agent, pathogenic mechanisms, and pathological manifestations, epigenetic research plays a pivotal role in uncovering markers and potential targets related to the cancer-promoting and morbidity-inducing liver fluke parasite prevalent in the Great Mekong Subregion (GMS). Emerging studies highlight a predominant hypermethylation phenotype in Opisthorchis viverrini (O. viverrini) tumor tissues, underscoring the significance of abnormal DNA methylation and histone modifications in genes and their promoters as reliable targets for Ov-CCA.

    PRINCIPAL FINDINGS: Relevant published literature was identified by searching major electronic databases using targeted search queries. This process retrieved a total of 81 peer-reviewed research articles deemed eligible for inclusion, as they partially or fully met the pre-defined selection criteria. These eligible articles underwent a qualitative synthesis and were included in the scoping review. Within these, 11 studies specifically explored Ov-CCA tissues to investigate potential epigenetic biomarkers and therapeutic targets. This subset of 11 articles provided a foundation for exploring the applications of epigenetics-based therapies and biomarkers for Ov-CCA. These articles delved into various epigenetic modifications, including DNA methylation and histone modifications, and examined genes with aberrant epigenetic changes linked to deregulated signalling pathways in Ov-CCA progression.

    CONCLUSIONS: This review identified epigenetic changes and Wnt/β-catenin pathway deregulation as key drivers in Ov-CCA pathogenesis. Promoter hypermethylation of specific genes suggests potential diagnostic biomarkers and dysregulation of Wnt/β-catenin-modulating genes contributes to pathway activation in Ov-CCA progression. Reversible epigenetic changes offer opportunities for dynamic disease monitoring and targeted interventions. Therefore, this study underscores the importance of these epigenetic modifications in Ov-CCA development, suggesting novel therapeutic targets within disrupted signalling networks. However, additional validation is crucial for translating these novel insights into clinically applicable strategies, enhancing personalised Ov-CCA management approaches.

    Matched MeSH terms: Biomarkers, Tumor/genetics; Biomarkers, Tumor/metabolism
  19. Clinical usefulness of tumour markers
    Lai LC, Cheong SK, Goh KL, Leong CF, Loh CS, Lopez JB, et al.
    Malays J Pathol, 2003 Dec;25(2):83-105.
    PMID: 16196365
    Tumour markers are substances related to the presence or progress of a tumour. An ideal tumour marker is (1) detectable only when malignancy is present, (2) specific for the type and site of malignancy, (3) correlates with the amount of malignant tissue present and (4) responds rapidly to a change in tumour size. At present, no tumour marker fulfills all of the above criteria. The first part of the review discusses the clinical usefulness of the commonly requested serum tumour markers, namely, prostate-specific antigen (PSA), CA 19-9, carcinoembryonic antigen (CEA), CA 125, CA 15-3, human chorionic gonadotrophin (hCG) and alpha-foetoprotein (AFP). It is hoped that this review article will decrease the abuse and misuse of these commonly requested serum tumour markers. The second part of the review discusses the clinical usefulness of catecholamines and their metabolites, calcitonin, thyroglobulin, parathyroid hormone, prolactin, adrenocorticotrophic hormone, oestrogen and progesterone receptors, p53, HER-2/c-erbB2, BRCA1 and BRCA2.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
  20. Prognostic prospect of soluble programmed cell death ligand-1 in cancer management
    Khairil Anwar NA, Mohd Nazri MN, Murtadha AH, Mohd Adzemi ER, Balakrishnan V, Mustaffa KMF, et al.
    Acta Biochim Biophys Sin (Shanghai), 2021 Jul 28;53(8):961-978.
    PMID: 34180502 DOI: 10.1093/abbs/gmab077
    Aggressive tissue biopsy is commonly unavoidable in the management of most suspected tumor cases to conclusively verify the presence of cancerous cells through histological assessment. The extracted tissue is also immunostained for detection of antigens (tissue tumor markers) of potential prognostic or therapeutic importance to assist in treatment decision. Although liquid biopsies can be a powerful tool for monitoring treatment response, they are still excluded from standard cancer diagnostics, and their utility is still being debated in the scientific community. With a myriad of soluble tissue tumor markers now being discovered, liquid biopsies could completely change the current paradigms of cancer management. Recently, soluble programmed cell death ligand-1 (sPD-L1), which is found in the peripheral blood, i.e. serum and plasma, has shown potential as a pre-therapeutic predictive marker as well as a prognostic biomarker to monitor treatment efficacy. Thus, this review focuses on the emergence of sPD-L1 and promising technologies for its detection in order to support liquid biopsies for future cancer management.
    Matched MeSH terms: Biomarkers, Tumor/metabolism*
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