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Breast cancer (BC) is a disease highly associated with epigenetic modification, and arginine methylation is particularly important in its genetic regulation. However, the role of arginine methylation related lncRNAs in breast cancer has not been studied. First, we identified the related lncRNAs (from TCGA database) according to the differentially expressed genes related to arginine methylation in breast cancer. Then the lncRNAs related to protein arginine methylation were obtained by regression analysis, and the risk score model was constructed. Finally, the cell experiment and subcutaneous tumor model verified that the arginine methylation related lncRNA z68871.1 in the model had a significant effect on the proliferation and invasion of breast cancer cells. In conclusion, we successfully constructed an arginine methylation related lncRNA model, which has strong predictive ability. At the same time, this study provides an experimental basis for exploring the mechanism of arginine methylation in BC and helps to find new biomarkers of BC. [ABSTRACT FROM AUTHOR]

Background and Aims: Cancer has grabbed the attention of scientists and medical professionals all over the world much more than any other disease. In the past few decades, the medical field has improved quite a lot but progress in the path to find a solution for cancer is very less. As the popularity of invasive technologies is diminishing in cancer treatment, scientists have come up withminimally invasive or non‐invasive alternatives, among which liquid biopsy, by far is the most suitable. Methods: Liquid biopsy is used to analyse nucleic acids, subcellular components and circulating tumour cells in various biological fluids for diagnosis of cancer. It can also be used to know the efficacy of cancer drugs in a patient by analysing multiple samples. Outcomes: Liquid biopsy is becoming standard of care as it allows biopsy of those samples in which solid tumour biopsies are not possible. The diversity of sampling procedures, such as collection of urine for urothelial carcinoma or bladder or prostate cancer and phlebotomy for other types of cancer, make liquid biopsy one of the best methods for diagnosis of cancer. Conclusion: This review aims in discussing the several techniques used for the detection of cancer biomarkers and some clinical manifestations due to the changes in the biomarkers which are analysed by liquid biopsy. [ABSTRACT FROM AUTHOR]

Background: Cancer onset and progression are driven by genetic and epigenetic alterations leading to oncogene activation and the silencing of tumor suppressor genes. Among epigenetic mechanisms, DNA methylation (methDNA) is gaining growing interest in cancer. Promoter hypomethylation is associated with oncogene activation while intragenic methDNA can be involved in transcriptional elongation, alternative spicing, and the activation of cryptic start sites. Several genes involved in the modulation of the tumor microenvironment are regulated by methDNA, including the Solute Carrier Family 22 Member 17 (SLC22A17), which is involved in iron trafficking and extracellular matrix remodeling cooperating with the Gelatinase-Associated Lipocalin (NGAL) ligand. However, the exact role of intragenic methDNA in cancer has not been fully investigated. Therefore, the aim of the present study is to explore the role of methDNA in the regulation of SLC22A17 in cutaneous melanoma (CM), used as a tumor model. Methods: Correlation and differential analyses between SLC22A17 expression and methDNA were performed using the data contained in The Cancer Genome Atlas and Gene Expression Omnibus databases. Functional studies on melanoma cell lines treated with 5-Azacytidine (5-Aza) were conducted to assess the correlation between methDNA and SLC22A17 expression. A validation study on the diagnostic potential of the in silico-identified SLC22A17 methDNA hotspot was finally performed by analyzing tissue samples obtained from CM patients and healthy controls. Results: The computational analyses revealed that SLC22A17 was significantly downregulated in CM, and its expression was related to promoter hypomethylation and intragenic hypermethylation. Moreover, SLC22A17 overexpression and hypermethylation of two intragenic methDNA hotspots were associated with a better clinical outcome in CM patients. The correlation between SLC22A17 methDNA and expression was confirmed in 5-Aza-treated cells. In agreement with in silico analyses, the SLC22A17 promoter methylation hotspot showed higher methDNA levels in CM samples compared to nevi. In addition, the methDNA levels of this hotspot were positively correlated with advanced CM. Conclusions: The SLC22A17 methDNA hotspot could represent a promising biomarker for CM, highlighting the regulatory role of methDNA on SLC22A17 expression. These results pave the way for the identification of novel epigenetic biomarkers and therapeutic targets for the management of CM patients. [ABSTRACT FROM AUTHOR]

Background: GPNMB is a type I transmembrane protein, and emerging evidence supports the relationship between GPNMB and cancers. Objective: Through a comprehensive pan-cancer analysis, we examined the expression levels, prognostic significance, and mutation profiles of GPNMB in different cancer types. Subsequently, utilizing in vitro experiments, we elucidated the impact of GPNMB in endometrial cancer (EC). Methods: TIMER2, GEPIA2, UALCAN and cBioPortal were used to analyze the expression pattern, prognostic values, and mutation status of GPNMB. HEC-1B and Ishikawa cells were used to conduct in vitro analyses of GPNMB overexpression. GeneMANIA and TIMER2 were used to evaluate the potential functions and correlations between GPNMB expression and tumor-infiltrating immune cells in EC. Results: GPNMB was found to be highly expressed in multiple cancers, where it was associated with poor prognosis. Additionally, GPNMB was downregulated at both mRNA and protein levels in EC. Overexpression of GPNMB inhibited the proliferation, migration, and invasion of HEC-1B and Ishikawa cells. Functional analysis showed that GPNMB was enriched in pathways associated with regulation of plasma lipoprotein particle levels. The expression of GPNMB was positively connected with B cell, CD8+ T cell, CD4+ T cell, Macrophage, Neutrophil, and Dendritic cell levels. Conclusion: Through pan-cancer analysis, we identified the antitumor effect of GPNMB in EC and predicted the potential mechanisms between GPNMB expression and EC. [ABSTRACT FROM AUTHOR]

Simple Summary: Liquid biopsy's use in the field of head and neck cancer has garnered interest due to providing an efficient and insightful alternative or complement to the present standards for the diagnosis and monitoring of patients. Certain biomarkers have been associated with specific cancer diagnoses, responses to treatment, and risk of recurrence, including circulating tumor DNA. Analysis of circulating tumor DNA and viral DNA via liquid biopsy has linked certain mutations and methylation patterns to various patient outcomes across several types of head and neck cancer. The present paper has reviewed the recent literature examining liquid biopsy's clinical utility in head and neck oncology and has discussed the clinical implications of aspects of circulating tumor DNA, among other biomarkers. Recent data have shown a continued rise in the worldwide annual incidence and mortality rates of head and neck cancers. The present standard for diagnosis and monitoring for disease recurrence or progression involves clinical examination, imaging, and invasive biopsy techniques of lesions suspected of being malignant. In addition to limitations relating to cost, time, and patient discomfort, these methodologies have inherent inaccuracies for detecting recurrence. In view of these limitations, the analysis of patient bodily fluid samples via liquid biopsy proposes a cost-effective and convenient alternative, which provides insight on the biogenetic and biomolecular underpinnings of oncologic disease processes. The monitoring of biomarkers for head and neck cancer via liquid biopsy, including circulating tumor DNA, circulating tumor cells, and circulating cell-free RNA, has shown clinical utility in the screening, diagnosis, prognostication, and monitoring of patients with various forms of head and neck cancer. The present review will provide an update on the current literature examining the use of liquid biopsy in head and neck cancer care and the clinical applicability of potential biomarkers, with a focus on viral and non-viral circulating tumor DNA. Possible future avenues for research to address specific shortcomings of liquid biopsy will be discussed. [ABSTRACT FROM AUTHOR]

Cancer treatment has long been fraught with challenges, including drug resistance, metastasis, and recurrence, making it one of the most difficult diseases to treat effectively. Traditional therapeutic approaches often fall short due to their inability to target cancer stem cells and the complex genetic and epigenetic landscape of tumors. In recent years, cancer immunotherapy has revolutionized the field, offering new hope and viable alternatives to conventional treatments. A particularly promising area of research focuses on non-coding RNAs (ncRNAs), especially long non-coding RNAs (lncRNAs), and their role in cancer resistance and the modulation of signaling pathways. To address these challenges, we performed a comprehensive review of recent studies on lncRNAs and their impact on cancer immunotherapy. Our review highlights the crucial roles that lncRNAs play in affecting both innate and adaptive immunity, thereby influencing the outcomes of cancer treatments. Key observations from our review indicate that lncRNAs can modify the tumor immune microenvironment, enhance immune cell infiltration, and regulate cytokine production, all of which contribute to tumor growth and resistance to therapies. These insights suggest that lncRNAs could serve as potential targets for precision medicine, opening up new avenues for developing more effective cancer immunotherapies. By compiling recent research on lncRNAs across various cancers, this review aims to shed light on their mechanisms within the tumor immune microenvironment. [ABSTRACT FROM AUTHOR]

Simple Summary: Cancer diagnoses, including papillary thyroid carcinoma (PTC), are increasing, and early detection is critical for successful treatment. To help address this, our study focuses on identifying reliable biomarkers—specific molecules indicating the presence of disease—that can be detected through non-invasive methods like liquid biopsies. We examined small RNA molecules, known as microRNAs (miRNAs), found in microparticles called extracellular vesicles (EVs) in blood samples from PTC patients, which are linked to the development of PTC. Our results showed these miRNAs were present at higher levels in PTC patients and returned to normal after surgery, suggesting their potential as reliable indicators of PTC. The use of these biomarkers in EVs could allow easier, less invasive, and more frequent testing compared to current methods, improving early detection and monitoring of thyroid cancer, thus benefiting patients and healthcare systems. Background: The incidence of various types of cancer, for example, papillary thyroid carcinoma (PTC), is on the rise. Since therapeutic success depends greatly on early diagnosis, reliable diagnostic biomarkers must be identified, and easy-to-apply tools for detecting them must urgently be standardized. Here, we contribute to solving this medical challenge by assessing miRNAs suspected of promoting carcinogenesis in extracellular vesicles (EVs) that can be routinely obtained via liquid biopsy. We profit from current progress in cancerology that provides innovations in liquid biopsy and EVs analysis, along with the identification of miRNAs and chaperone system (CS) components implicated in carcinogenesis. Methods: We measured in EVs obtained from circulating blood plasma from PTC patients the levels of three miRNAs implicated in thyroid cancer, hsa-miR-1-3p, hsa-miR-206, and hsa-miR-221-3p, and most likely involved in the regulation of two members of the CS, Hsp60 and CCT. EVs were isolated from the plasma of patients with PTC and controls with benign goiter (BG) and from the culture medium of a PTC cell line (MDAT32) and were appropriately characterized. Results: The levels of miRNAs determined by RT-qPCR were consistently higher in PTC patients and decreased down to control levels after thyroidectomy. Bioinformatics showed that the miRNAs target genes are associated with the molecular pathogenesis of PTC. Conclusions: Our exploratory study reaffirms the potential in clinics of the selected miRNAs in EVs as useful biomarkers of PTC easily accessible via liquid biopsy, which is minimally invasive and amenable to periodic repetition, an improvement compared to the established fine-needle aspirate biopsy. [ABSTRACT FROM AUTHOR]

Lung cancer remains a major global health problem with high mortality rates. Early diagnosis can significantly improve prognosis. Hence alternative diagnostic platforms facilitating rapid, noninvasive, point-of-care screening are needed. Nanomaterial-assisted electrochemical biosensors present a promising technology. Unique properties of nanomaterials like high electrical conductivity, catalytic activity, and large surface area enhance achieved detection limits and kinetics. Recent works have combined nanomaterials like graphene, metal nanoparticles and conducting polymers with recognition elements like antibodies and aptamers. Considerable progress has focused on improving analytical parameters including sensitivity, linear ranges, reproducibility and response times. Initial embodiments also demonstrate multiplexed detection, microfluidic integration and smartphone connectivity towards viable clinical practice. However considerable efforts on large sample size validation, standardization of testing protocols and viable commercialization pathways integrating regulatory guidelines and reimbursement ecosystem partnerships remain before such lab-on-chip platforms can enter mainstream and guide therapeutic interventions through affordable decentralized personalized monitoring. [ABSTRACT FROM AUTHOR]

Here we introduce a Raman spectroscopy approach combining multi‐spectral imaging and a new fluorescence background subtraction technique to image individual Raman peaks in less than 5 seconds over a square field‐of‐view of 1‐centimeter sides with 350 micrometers resolution. First, human data is presented supporting the feasibility of achieving cancer detection with high sensitivity and specificity – in brain, breast, lung, and ovarian/endometrium tissue – using no more than three biochemically interpretable biomarkers associated with the inelastic scattering signal from specific Raman peaks. Second, a proof‐of‐principle study in biological tissue is presented demonstrating the feasibility of detecting a single Raman band – here the CH2/CH3 deformation bands from proteins and lipids – using a conventional multi‐spectral imaging system in combination with the new background removal method. This study paves the way for the development of a new Raman imaging technique that is rapid, label‐free, and wide field. [ABSTRACT FROM AUTHOR]

Abstract Background Cancer onset and progression are driven by genetic and epigenetic alterations leading to oncogene activation and the silencing of tumor suppressor genes. Among epigenetic mechanisms, DNA methylation (methDNA) is gaining growing interest in cancer. Promoter hypomethylation is associated with oncogene activation while intragenic methDNA can be involved in transcriptional elongation, alternative spicing, and the activation of cryptic start sites. Several genes involved in the modulation of the tumor microenvironment are regulated by methDNA, including the Solute Carrier Family 22 Member 17 (SLC22A17), which is involved in iron trafficking and extracellular matrix remodeling cooperating with the Gelatinase-Associated Lipocalin (NGAL) ligand. However, the exact role of intragenic methDNA in cancer has not been fully investigated. Therefore, the aim of the present study is to explore the role of methDNA in the regulation of SLC22A17 in cutaneous melanoma (CM), used as a tumor model. Methods Correlation and differential analyses between SLC22A17 expression and methDNA were performed using the data contained in The Cancer Genome Atlas and Gene Expression Omnibus databases. Functional studies on melanoma cell lines treated with 5-Azacytidine (5-Aza) were conducted to assess the correlation between methDNA and SLC22A17 expression. A validation study on the diagnostic potential of the in silico-identified SLC22A17 methDNA hotspot was finally performed by analyzing tissue samples obtained from CM patients and healthy controls. Results The computational analyses revealed that SLC22A17 was significantly downregulated in CM, and its expression was related to promoter hypomethylation and intragenic hypermethylation. Moreover, SLC22A17 overexpression and hypermethylation of two intragenic methDNA hotspots were associated with a better clinical outcome in CM patients. The correlation between SLC22A17 methDNA and expression was confirmed in 5-Aza-treated cells. In agreement with in silico analyses, the SLC22A17 promoter methylation hotspot showed higher methDNA levels in CM samples compared to nevi. In addition, the methDNA levels of this hotspot were positively correlated with advanced CM. Conclusions The SLC22A17 methDNA hotspot could represent a promising biomarker for CM, highlighting the regulatory role of methDNA on SLC22A17 expression. These results pave the way for the identification of novel epigenetic biomarkers and therapeutic targets for the management of CM patients.

Abstract Background GPNMB is a type I transmembrane protein, and emerging evidence supports the relationship between GPNMB and cancers. Objective Through a comprehensive pan-cancer analysis, we examined the expression levels, prognostic significance, and mutation profiles of GPNMB in different cancer types. Subsequently, utilizing in vitro experiments, we elucidated the impact of GPNMB in endometrial cancer (EC). Methods TIMER2, GEPIA2, UALCAN and cBioPortal were used to analyze the expression pattern, prognostic values, and mutation status of GPNMB. HEC-1B and Ishikawa cells were used to conduct in vitro analyses of GPNMB overexpression. GeneMANIA and TIMER2 were used to evaluate the potential functions and correlations between GPNMB expression and tumor-infiltrating immune cells in EC. Results GPNMB was found to be highly expressed in multiple cancers, where it was associated with poor prognosis. Additionally, GPNMB was downregulated at both mRNA and protein levels in EC. Overexpression of GPNMB inhibited the proliferation, migration, and invasion of HEC-1B and Ishikawa cells. Functional analysis showed that GPNMB was enriched in pathways associated with regulation of plasma lipoprotein particle levels. The expression of GPNMB was positively connected with B cell, CD8+ T cell, CD4+ T cell, Macrophage, Neutrophil, and Dendritic cell levels. Conclusion Through pan-cancer analysis, we identified the antitumor effect of GPNMB in EC and predicted the potential mechanisms between GPNMB expression and EC.

Lung cancer remains a major global health problem with high mortality rates. Early diagnosis can significantly improve prognosis. Hence alternative diagnostic platforms facilitating rapid, noninvasive, point-of-care screening are needed. Nanomaterial-assisted electrochemical biosensors present a promising technology. Unique properties of nanomaterials like high electrical conductivity, catalytic activity, and large surface area enhance achieved detection limits and kinetics. Recent works have combined nanomaterials like graphene, metal nanoparticles and conducting polymers with recognition elements like antibodies and aptamers. Considerable progress has focused on improving analytical parameters including sensitivity, linear ranges, reproducibility and response times. Initial embodiments also demonstrate multiplexed detection, microfluidic integration and smartphone connectivity towards viable clinical practice. However considerable efforts on large sample size validation, standardization of testing protocols and viable commercialization pathways integrating regulatory guidelines and reimbursement ecosystem partnerships remain before such lab-on-chip platforms can enter mainstream and guide therapeutic interventions through affordable decentralized personalized monitoring.

Abstract Basal Cell Adhesion Molecule (BCAM), a receptor for laminin subunit α5, plays a crucial role in the pathogenesis of various malignancies. Notably, evidence of hypermethylation at multiple immune checkpoints in patients with low BCAM expression suggests these individuals may respond favorably to immunotherapy using ICIs (immune checkpoint inhibitors). This finding lays the foundation for the hypothesis that BCAM may serve as an important biomarker in cancer patients. To investigate this potential, we evaluated BCAM expression patterns in 3114 patients from both discovery and validation cohorts, spanning seven cancer types, using quantitative immunofluorescence (QIF). We also explored the correlation between BCAM and PD-L1 expressions within these cohorts, aiming to establish its potential predictive value for immunotherapy response. Our findings indicate that BCAM was highly expressed in ovarian (79.2%) and lung (78.5%) tumors, with lower yet significant expression in breast (37.7%), head and neck (31.3%), and bladder-urothelial tumors (27.6%). Notably, high BCAM expression was associated with better OS in NSCLC. More importantly, BCAM expression did not correlate with PD-L1 protein expression in any of these tumors, highlighting its independent predictive potential. The widespread expression of BCAM across multiple tumor types, coupled with its lack of correlation with PD-L1 expression, highlights its potential as a predictive novel biomarker across various cancer types.

Abstract Exosomes are extracellular vesicles well known for facilitating cell-to-cell communication by distributing essential macromolecules like proteins, DNA, mRNA, lipids, and miRNA. These vesicles are abundant in fluids distributed throughout the body, including urine, blood, saliva, and even bile. They are important diagnostic tools for breast, lung, gastrointestinal cancers, etc. However, their application as cancer biomarkers has not yet been implemented in most parts of the world. In this review, we discuss how OMICs profiling of exosomes can be practiced by substituting traditional imaging or biopsy methods for cancer detection. Previous methods like extensive imaging and biopsy used for screening were expensive, mostly invasive, and could not easily provide early detection for various types of cancer. Exosomal biomarkers can be utilized for routine screening by simply collecting body fluids from the individual. We anticipate that the use of exosomes will be brought to light by the success of clinical trials investigating their potential to enhance cancer detection and treatment in the upcoming years. Graphical Abstract

Basal Cell Adhesion Molecule (BCAM), a receptor for laminin subunit α5, plays a crucial role in the pathogenesis of various malignancies. Notably, evidence of hypermethylation at multiple immune checkpoints in patients with low BCAM expression suggests these individuals may respond favorably to immunotherapy using ICIs (immune checkpoint inhibitors). This finding lays the foundation for the hypothesis that BCAM may serve as an important biomarker in cancer patients. To investigate this potential, we evaluated BCAM expression patterns in 3114 patients from both discovery and validation cohorts, spanning seven cancer types, using quantitative immunofluorescence (QIF). We also explored the correlation between BCAM and PD-L1 expressions within these cohorts, aiming to establish its potential predictive value for immunotherapy response. Our findings indicate that BCAM was highly expressed in ovarian (79.2%) and lung (78.5%) tumors, with lower yet significant expression in breast (37.7%), head and neck (31.3%), and bladder-urothelial tumors (27.6%). Notably, high BCAM expression was associated with better OS in NSCLC. More importantly, BCAM expression did not correlate with PD-L1 protein expression in any of these tumors, highlighting its independent predictive potential. The widespread expression of BCAM across multiple tumor types, coupled with its lack of correlation with PD-L1 expression, highlights its potential as a predictive novel biomarker across various cancer types. [ABSTRACT FROM AUTHOR]

Biomarkers play a pivotal role in the screening, diagnosis, prevention, and post-treatment follow-up of various malignant tumors. In certain instances, identifying these markers necessitates prior treatment due to the complex nature of the tumor microenvironment. Consequently, advancing techniques that exhibit selectivity, specificity, and enable streamlined analysis hold significant importance. Molecularly imprinted polymers (MIPs) are considered synthetic antibodies because they possess the property of molecular recognition with high selectivity and sensitivity. In recent years, there has been a notable surge in the investigation of these materials, primarily driven by their remarkable adaptability in terms of tailoring them for specific target molecules and integrating them into diverse analytical technologies. This review presents a comprehensive analysis of molecular imprinting techniques, highlighting their application in developing sensors and analytical methods for cancer detection, diagnosis, and monitoring. Therefore, MIPs offer great potential in oncology and show promise for improving the accuracy of cancer screening and diagnosis procedures. [ABSTRACT FROM AUTHOR]

Breast cancer is the most common cancer in women and the leading cause of female deaths by cancer in the world worldwide. Hence, understanding the molecular mechanisms associated with breast cancer development and progression, including drug resistance and breast cancer metastasis, is essential for achieving the best management of breast cancer patients. Cancer-related long noncoding RNAs have been shown to be involved in the regulation of each stage of breast cancer progression. Additionally, exosomes are extracellular microvesicles that are central to intercellular communication and play an important role in tumorigenesis. Exosomes can be released from primary tumor cells into the bloodstream and transmit cellular signals to distant body sites. In this work, we review the findings regarding the cellular mechanisms regulated by exosomal lncRNAs that are essentials to chemoresistance development and metastasis of breast cancer. Likewise, we evaluate the outcomes of the potential clinical use of exosomal lncRNAs as breast cancer biomarkers to achieve personalized management of the patients. This finding highlights the importance of transcriptomic analysis of exosomal lncRNAs to understand the breast cancer tumorigenesis as well as to improve the clinical tests available for this disease. [ABSTRACT FROM AUTHOR]

Exosomes are extracellular vesicles well known for facilitating cell-to-cell communication by distributing essential macromolecules like proteins, DNA, mRNA, lipids, and miRNA. These vesicles are abundant in fluids distributed throughout the body, including urine, blood, saliva, and even bile. They are important diagnostic tools for breast, lung, gastrointestinal cancers, etc. However, their application as cancer biomarkers has not yet been implemented in most parts of the world. In this review, we discuss how OMICs profiling of exosomes can be practiced by substituting traditional imaging or biopsy methods for cancer detection. Previous methods like extensive imaging and biopsy used for screening were expensive, mostly invasive, and could not easily provide early detection for various types of cancer. Exosomal biomarkers can be utilized for routine screening by simply collecting body fluids from the individual. We anticipate that the use of exosomes will be brought to light by the success of clinical trials investigating their potential to enhance cancer detection and treatment in the upcoming years. [ABSTRACT FROM AUTHOR]

We developed a technology for detecting and quantifying trace nucleic acids using a bracketing protocol designed to yield a copy number with approximately ± 20% accuracy across all concentrations. The microRNAs (miRNAs) let-7b, miR-15b, miR-21, miR-375 and miR-141 were measured in serum and urine samples from healthy subjects and patients with breast, prostate or pancreatic cancer. Detection and quantification were amplification-free and enabled using osmium-tagged probes and MinION, a nanopore array detection device. Combined serum from healthy men (Sigma-Aldrich, St. Louis, MO, USA #H6914) was used as a reference. Total RNA isolated from biospecimens using commercial kits was used as the miRNA source. The unprecedented ± 20% accuracy led to the conclusion that miRNA copy numbers must be normalized to the same RNA content, which in turn illustrates (i) independence from age, sex and ethnicity, as well as (ii) equivalence between serum and urine. miR-21, miR-375 and miR-141 copies in cancers were 1.8-fold overexpressed, exhibited zero overlap with healthy samples and had a p-value of 1.6 × 10−22, tentatively validating each miRNA as a multi-cancer biomarker. miR-15b was confirmed to be cancer-independent, whereas let-7b appeared to be a cancer biomarker for prostate and breast cancer, but not for pancreatic cancer. [ABSTRACT FROM AUTHOR]

The aggressive characteristics of triple‐negative breast cancer (TNBC) and the absence of targeted medicines make TNBC a challenging clinical case. The molecular landscape of TNBC has been well‐understood thanks to recent developments in multi‐omic analysis, which have also revealed dysregulated pathways and possible treatment targets. This review summarizes the utilization of multi‐omic approaches in elucidating TNBC's complex biology and therapeutic avenues. Dysregulated pathways including cell cycle progression, immunological modulation, and DNA damage response have been uncovered in TNBC by multi‐omic investigations that integrate genomes, transcriptomics, proteomics, and metabolomics data. Methods like this pave the door for the discovery of new therapeutic targets, such as the EGFR, PARP, and mTOR pathways, which in turn direct the creation of more precise treatments. Recent developments in TNBC treatment strategies, including immunotherapy, PARP inhibitors, and antibody‐drug conjugates, show promise in clinical trials. Emerging biomarkers like MUC1, YB‐1, and immune‐related markers offer insights into personalized treatment approaches and prognosis prediction. Despite the strengths of multi‐omic analysis in offering a more comprehensive view and personalized treatment strategies, challenges exist. Large sample sizes and ensuring high‐quality data remain crucial for reliable findings. Multi‐omic analysis has revolutionized TNBC research, shedding light on dysregulated pathways, potential targets, and emerging biomarkers. Continued research efforts are imperative to translate these insights into improved outcomes for TNBC patients. [ABSTRACT FROM AUTHOR]

Simple Summary: Extracellular vesicles (ECVs), especially exosomes, play a crucial role in hepatocellular carcinoma (HCC) by facilitating intercellular communication and influencing circadian rhythms, thereby affecting HCC progression and treatment responses. Exosomes serve as biomarkers for early cancer detection, drug delivery vehicles, and modulators of immune responses. They promote angiogenesis, modulate the tumor microenvironment, and spread drug resistance. Advanced techniques for isolating cell-specific exosomes and aligning treatments with natural circadian rhythms show promise for early detection and personalized therapies. Understanding how exosomal cargo is sorted and interacts with circadian genes could revolutionize HCC diagnostics and treatments, improving patient outcomes. Utilizing liver-specific proteins for precise exosome isolation can enhance early detection and treatment efficacy, paving the way for more personalized and effective cancer therapies. This review comprehensively explores the complex interplay between extracellular vesicles (ECVs)/exosomes and circadian rhythms, with a focus on the role of this interaction in hepatocellular carcinoma (HCC). Exosomes are nanovesicles derived from cells that facilitate intercellular communication by transporting bioactive molecules such as proteins, lipids, and RNA/DNA species. ECVs are implicated in a range of diseases, where they play crucial roles in signaling between cells and their surrounding environment. In the setting of cancer, ECVs are known to influence cancer initiation and progression. The scope of this review extends to all cancer types, synthesizing existing knowledge on the various roles of ECVs. A unique aspect of this review is the emphasis on the circadian-controlled release and composition of exosomes, highlighting their potential as biomarkers for early cancer detection and monitoring metastasis. We also discuss how circadian rhythms affect multiple cancer-related pathways, proposing that disruptions in the circadian clock can alter tumor development and treatment response. Additionally, this review delves into the influence of circadian clock components on ECV biogenesis and their impact on reshaping the tumor microenvironment, a key component driving HCC progression. Finally, we address the potential clinical applications of ECVs, particularly their use as diagnostic tools and drug delivery vehicles, while considering the challenges associated with clinical implementation. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma is currently the most common malignancy of the liver. It typically occurs due to a series of oncogenic mutations that lead to aberrant cell replication. Most commonly, hepatocellular carcinoma (HCC) occurs as a result of pre-occurring liver diseases, such as hepatitis and cirrhosis. Given its aggressive nature and poor prognosis, the early screening and diagnosis of HCC are crucial. However, due to its plethora of underlying risk factors and pathophysiologies, patient presentation often varies in the early stages, with many patients presenting with few, if any, specific symptoms in the early stages. Conventionally, screening and diagnosis are performed through radiological examination, with diagnosis confirmed by biopsy. Imaging modalities tend to be limited by their requirement of large, expensive equipment; time-consuming operation; and a lack of accurate diagnosis, whereas a biopsy's invasive nature makes it unappealing for repetitive use. Recently, biosensors have gained attention for their potential to detect numerous conditions rapidly, cheaply, accurately, and without complex equipment and training. Through their sensing platforms, they aim to detect various biomarkers, such as nucleic acids, proteins, and even whole cells extracted by a liquid biopsy. Numerous biosensors have been developed that may detect HCC in its early stages. We discuss the recent updates in biosensing technology, highlighting its competitive potential compared to conventional methodology and its prospects as a tool for screening and diagnosis. [ABSTRACT FROM AUTHOR]

Mesoporous silica nanoparticles (MSNs) exhibit highly beneficial characteristics for devising efficient biosensors for different analytes. Their unique properties, such as capabilities for stable covalent binding to recognition groups (e.g., antibodies or aptamers) and sensing surfaces, open a plethora of opportunities for biosensor construction. In addition, their structured porosity offers capabilities for entrapping signaling molecules (dyes or electroactive species), which could be released efficiently in response to a desired analyte for effective optical or electrochemical detection. This work offers an overview of recent research studies (in the last five years) that contain MSNs in their optical and electrochemical sensing platforms for the detection of cancer biomarkers, classified by cancer type. In addition, this study provides an overview of cancer biomarkers, as well as electrochemical and optical detection methods in general. [ABSTRACT FROM AUTHOR]

Clear cell renal cell carcinoma (ccRCC), a prevalent kidney cancer form characterised by its invasiveness and heterogeneity, presents challenges in late‐stage prognosis and treatment outcomes. Programmed cell death mechanisms, crucial in eliminating cancer cells, offer substantial insights into malignant tumour diagnosis, treatment and prognosis. This study aims to provide a model based on 15 types of Programmed Cell Death‐Related Genes (PCDRGs) for evaluating immune microenvironment and prognosis in ccRCC patients. ccRCC patients from the TCGA and arrayexpress cohorts were grouped based on PCDRGs. A combination model using Lasso and SuperPC was constructed to identify prognostic gene features. The arrayexpress cohort validated the model, confirming its robustness. Immune microenvironment analysis, facilitated by PCDRGs, employed various methods, including CIBERSORT. Drug sensitivity analysis guided clinical treatment decisions. Single‐cell data enabled Programmed Cell Death‐Related scoring, subsequent pseudo‐temporal and cell–cell communication analyses. A PCDRGs signature was established using TCGA‐KIRC data. External validation in the arrayexpress cohort underscored the model's superiority over traditional clinical features. Furthermore, our single‐cell analysis unveiled the roles of PCDRG‐based single‐cell subgroups in ccRCC, both in pseudo‐temporal progression and intercellular communication. Finally, we performed CCK‐8 assay and other experiments to investigate csf2. In conclusion, these findings reveal that csf2 inhibit the growth, infiltration and movement of cells associated with renal clear cell carcinoma. This study introduces a PCDRGs prognostic model benefiting ccRCC patients while shedding light on the pivotal role of programmed cell death genes in shaping the immune microenvironment of ccRCC patients. [ABSTRACT FROM AUTHOR]

Artificial intelligence use is increasing exponentially, including by patients in medical decisionmaking. Because of the limitations of chatbots and the possibility of receiving erroneous or incomplete information, patient education is a necessity. Nurses can advocate for patients by emphasizing the importance of conferring with oncology professionals before making decisions based solely on self-investigation using artificial intelligence. [ABSTRACT FROM AUTHOR]

Abstract Background and Aims Cancer has grabbed the attention of scientists and medical professionals all over the world much more than any other disease. In the past few decades, the medical field has improved quite a lot but progress in the path to find a solution for cancer is very less. As the popularity of invasive technologies is diminishing in cancer treatment, scientists have come up withminimally invasive or non‐invasive alternatives, among which liquid biopsy, by far is the most suitable. Methods Liquid biopsy is used to analyse nucleic acids, subcellular components and circulating tumour cells in various biological fluids for diagnosis of cancer. It can also be used to know the efficacy of cancer drugs in a patient by analysing multiple samples. Outcomes Liquid biopsy is becoming standard of care as it allows biopsy of those samples in which solid tumour biopsies are not possible. The diversity of sampling procedures, such as collection of urine for urothelial carcinoma or bladder or prostate cancer and phlebotomy for other types of cancer, make liquid biopsy one of the best methods for diagnosis of cancer. Conclusion This review aims in discussing the several techniques used for the detection of cancer biomarkers and some clinical manifestations due to the changes in the biomarkers which are analysed by liquid biopsy.

Current cancer treatment strategies continue to face significant challenges, primarily due to tumor relapse, drug resistance, and low treatment efficiency. These issues arise because certain tumor cells adapt to the host immune microenvironment and evade the immune system. This study presents a new cancer immunotherapy strategy using serum-based antibodies from mice exposed to mouse cutaneous squamous cell carcinoma (mCSCC). The experiment was conducted in three stages. In the first stage, mCSCC cells were isolated and expanded cultured from DMBA/TPA-induced mCSCC. In the second stage, these expanded tumor cells were injected into healthy mice to stimulate the production of anti-tumor antibodies. In the final stage, therapeutic serum was extracted from these healthy mice and reintroduced into the tumor-bearing mice. An ELISA assay was utilized to analyze the levels of p53, Bcl-xL, NF-κB, and Bax. The results showed that the serum treatment not only reduced tumor volume but also reversed changes in p53, Bcl-xL, NF-κB, and Bax. In conclusion, this study developed a new immunotherapeutic strategy for treating mCSCC. However, further research is needed to fully comprehend the mechanism of this serum treatment.

These days, cancer is thought to be more than just one illness, with several complex subtypes that require different screening approaches. These subtypes can be distinguished by the distinct markings left by metabolites, proteins, miRNA, and DNA. Personalized illness management may be possible if cancer is categorized according to its biomarkers. In order to stop cancer from spreading and posing a significant risk to patient survival, early detection and prompt treatment are essential. Traditional cancer screening techniques are tedious, time-consuming, and require expert personnel for analysis. This has led scientists to reevaluate screening methodologies and make use of emerging technologies to achieve better results. Using time and money saving techniques, these methodologies integrate the procedures from sample preparation to detection in small devices with high accuracy and sensitivity. With its proven potential for biomedical use, surface-enhanced Raman scattering (SERS) has been widely used in biosensing applications, particularly in biomarker identification. Consideration was given especially to the potential of SERS as a portable clinical diagnostic tool. The approaches to SERS-based sensing technologies for both invasive and non-invasive samples are reviewed in this article, along with sample preparation techniques and obstacles. Aside from these significant constraints in the detection approach and techniques, the review also takes into account the complexity of biological fluids, the availability of biomarkers, and their sensitivity and selectivity, which are generally lowered. Massive ways to maintain sensing capabilities in clinical samples are being developed recently to get over this restriction. SERS is known to be a reliable diagnostic method for treatment judgments. Nonetheless, there is still room for advancement in terms of portability, creation of diagnostic apps, and interdisciplinary AI-based applications. Therefore, we will outline the current state of technological maturity for SERS-based cancer biomarker detection in this article. The review will meet the demand for reviewing various sample types (invasive and non-invasive) of cancer biomarkers and their detection using SERS. It will also shed light on the growing body of research on portable methods for clinical application and quick cancer detection.

Abstract Urine-based testing is promising for noninvasive diagnosis of urothelial carcinoma (UC) but has suboptimal sensitivity for early-stage tumors. Herein, we developed a multitarget urine tumor DNA test, UI-Seek, for UC detection and evaluated its clinical feasibility. The prediction model was developed in a retrospective cohort (n = 382), integrating assays for FGFR3 and TERT mutations and aberrant ONECUT2 and VIM methylation to generate a UC-score. The test performance was validated in a double-blinded, multicenter, prospective trial (n = 947; ChiCTR2300076543) and demonstrated a sensitivity of 91.37% and a specificity of 95.09%. The sensitivity reached 75.81% for low-grade Ta tumors and exceeded 93% in high-grade Ta and higher stages (T1 to T4). Simultaneous identification of both bladder and upper urinary tract tumors was enabled with sensitivities exceeding 90%. No significant confounding effects were observed regarding benign urological diseases or non-UC malignancies. The test showed improved sensitivities over urine cytology, the NMP22 test, and UroVysion FISH alongside comparable specificities. The single-target accuracy was greater than 98% as confirmed by Sanger sequencing. Post-surgery UC-score decreased in 97.7% of subjects. Overall, UI-Seek demonstrated robust performance and considerable potential for the early detection of UC.

Despite advances in understanding the development and progression of cancer in recent years, there remains a lack of comprehensive characterization of the cancer glycoproteome. Glycoproteins play an important role in medicine and are involved in various human disease conditions including cancer. Glycan-moieties participate in fundamental cancer processes like cell signaling, invasion, angiogenesis, and metastasis. Aberrant N-glycosylation significantly impacts cancer processes and targeted therapies in clinic. Therefore, understanding N-glycosylation in a tumor is essential for comprehending disease progression and discovering anti-cancer targets and biomarkers for therapy monitoring and diagnosis. This review presents the fundamental process of protein N-glycosylation and summarizes glycosylation changes in tumor cells, including increased terminal sialylation, N-glycan branching, and core-fucosylation. Also, the role of N-glycosylation in tumor signaling pathways, migration, and metabolism are discussed. Glycoproteins and glycopeptides as potential biomarkers for early detection of cancer based on site specificity have been introduced. Collectively, understanding and exploring the cancer glycoproteome, along with its role in medicine, implication in cancer and other human diseases, highlights the significance of N-glycosylation in tumor processes, necessitating further research for potential anti-cancer targets and biomarkers.

Background: Comprehensive molecular profiling of tissue samples that can help guide therapy management is not widely available across the globe. Methods: Comprehensive molecular profiling through Caris Molecular Intelligence involves the analysis of DNA through next-generation sequencing, chromogenic or fluorescent in situ hybridization, pyrosequencing, and copy number alterations; RNA through whole-transcriptome sequencing and multiplex PCR of RNA; and protein through immunohistochemistry. Results: Here we describe the experience of molecular profiling of tumor tissue samples from patients diagnosed with advanced solid tumors and treated in two countries, the United Arab Emirates and Thailand. Tumor cancer cases submitted to Caris Life Sciences (Phoenix, Arizona, USA) for molecular profiling from the UAE and Thailand were retrospectively analyzed (data accessed between 2019 and 2020) for their molecular alterations and clinical biomarkers, without regard to ethnicity. A total of 451 samples from 35 distinct types of advanced cancers were examined for mutations, amplifications, overexpression, exon copy number alterations, microsatellite instability, deficient mismatch repair, tumor mutational burden, and fusions. Interrogating each step of the biological pathway, from DNA to RNA to distinct protein, identified an alteration with an associated therapy for 75% of these tumor samples. The most common alterations identified included elevated PDL-1 that can be targeted with an immune checkpoint inhibitors and amplification of HER2 for which a variety of anti HER2 therapies are available. Conclusion: Comprehensive molecular profiling in patients with advanced malignancies can help optimize therapeutic management allowing for improved prognostic outcome. [ABSTRACT FROM AUTHOR]

Objectives Detecting occult cancer in patients with unprovoked venous thromboembolism (VTE) remains a significant challenge. Our objective was to investigate the potential predictive role of coagulation-related biomarkers in the diagnosis of occult malignancies. Methods We conducted a nested case-control study with a 1-year prospective cohort of 214 patients with unprovoked VTE, with a focus on identifying occult cancer. At the time of VTE diagnosis, we measured various biomarkers, including soluble P-selectin (sP-selectin), dimerized plasmin fragment D (D-dimer), platelets, leukocytes, hemoglobin, total extracellular vesicles (EVs), EVs expressing tissue factor on their surface (TF+EVs), and EVs expressing P-selectin on their surface (Psel+EVs) in all participants. Results We observed statistically significant increased levels of sP-selectin (P =.015) in patients with occult cancer. Despite an increase in Psel+EVs, TF+EVs, D-dimer, and platelets within this group, however, no significant differences were found. When sP-selectin exceeded 62 ng/mL and D-dimer surpassed 10,000 µg/L, the diagnosis of occult cancer demonstrated a specificity of up to 91% (95% CI, 79.9%-96.7%). Conclusions The combination of sP-selectin and D-dimer can be a valuable biomarker in detecting occult cancer in patients with unprovoked VTE. Further research is necessary to ascertain whether easily measurable biomarkers such as sP-selectin and D-dimer can effectively distinguish between patients who have VTE with and without hidden malignancies. [ABSTRACT FROM AUTHOR]

This work presents a novel approach for tailoring molecularly imprinted polymers (MIPs) with a preliminary stage of atom transfer radical polymerization (ATRP), for a more precise definition of the imprinted cavity. A well-defined copolymer of acrylamide and N,N′-methylenebisacrylamide (PAAm-co-PMBAm) was synthesized by ATRP and applied to gold electrodes with the template, followed by a crosslinking reaction. The template was removed from the polymer matrix by enzymatic/chemical action. The surface modifications were monitored via electrochemical impedance spectroscopy (EIS), having the MIP polymer as a non-conducting film designed with affinity sites for CA15-3. The resulting biosensor exhibited a linear response to CA15-3 log concentrations from 0.001 to 100 U/mL in PBS or in diluted fetal bovine serum (1000×) in PBS. Compared to the polyacrylamide (PAAm) MIP from conventional free-radical polymerization, the ATRP-based MIP extended the biosensor's dynamic linear range 10-fold, improving low concentration detection, and enhanced the signal reproducibility across units. The biosensor demonstrated good sensitivity and selectivity. Overall, the work described confirmed that the process of radical polymerization to build an MIP material influences the detection capacity for the target substance and the reproducibility among different biosensor units. Extending this approach to other cancer biomarkers, the methodology presented could open doors to a new generation of MIP-based biosensors for point-of-care disease diagnosis. [ABSTRACT FROM AUTHOR]

This study aims to enhance the prognosis prediction of Head and Neck Squamous Cell Carcinoma (HNSCC) by employing artificial intelligence (AI) to analyse CDKN2A gene expression from pathology images, directly correlating with patient outcomes. Our approach introduces a novel AI‐driven pathomics framework, delineating a more precise relationship between CDKN2A expression and survival rates compared to previous studies. Utilizing 475 HNSCC cases from the TCGA database, we stratified patients into high‐risk and low‐risk groups based on CDKN2A expression thresholds. Through pathomics analysis of 271 cases with available slides, we extracted 465 distinctive features to construct a Gradient Boosting Machine (GBM) model. This model was then employed to compute Pathomics scores (PS), predicting CDKN2A expression levels with validation for accuracy and pathway association analysis. Our study demonstrates a significant correlation between higher CDKN2A expression and improved median overall survival (66.73 months for high expression vs. 42.97 months for low expression, p = 0.013), establishing CDKN2A's prognostic value. The pathomic model exhibited exceptional predictive accuracy (training AUC: 0.806; validation AUC: 0.710) and identified a strong link between higher Pathomics scores and cell cycle activation pathways. Validation through tissue microarray corroborated the predictive capacity of our model. Confirming CDKN2A as a crucial prognostic marker in HNSCC, this study advances the existing literature by implementing an AI‐driven pathomics analysis for gene expression evaluation. This innovative methodology offers a cost‐efficient and non‐invasive alternative to traditional diagnostic procedures, potentially revolutionizing personalized medicine in oncology. [ABSTRACT FROM AUTHOR]

Altered metabolism of lipids is a key factor in many diseases including cancer. Therefore, investigations into the impact of unsaturated and saturated fatty acids (FAs) on human body homeostasis are crucial for understanding the development of lifestyle diseases. In this paper, we focus on the impact of palmitic (PA), linoleic (LA), and eicosapentaenoic (EPA) acids on human colon normal (CCD-18 Co) and cancer (Caco-2) single cells using Raman imaging and spectroscopy. The label-free nature of Raman imaging allowed us to evaluate FAs dynamics without modifying endogenous cellular metabolism. Thanks to the ability of Raman imaging to visualize single-cell substructures, we have analyzed the changes in chemical composition of endoplasmic reticulum (ER), mitochondria, lipid droplets (LDs), and nucleus upon FA supplementation. Analysis of Raman band intensity ratios typical for lipids, proteins, and nucleic acids (I1656/I1444, I1444/I1256, I1444/I750, I1304/I1256) proved that, using Raman mapping, we can observe the metabolic pathways of FAs in ER, which is responsible for the uptake of exogenous FAs, de novo synthesis, elongation, and desaturation of FAs, in mitochondria responsible for energy production via FA oxidation, in LDs specialized in cellular fat storage, and in the nucleus, where FAs are transported via fatty-acid-binding proteins, biomarkers of human colon cancerogenesis. Analysis for membranes showed that the uptake of FAs effectively changed the chemical composition of this organelle, and the strongest effect was noticed for LA. The spectroscopy studies have been completed using XTT tests, which showed that the addition of LA or EPA for Caco-2 cells decreases their viability with a stronger effect observed for LA and the opposite effect observed for PA. For normal cells, CCD-18 Co supplementation using LA or EPA stimulated cells for growing, while PA had the opposite impact. [ABSTRACT FROM AUTHOR]

Urine-based testing is promising for noninvasive diagnosis of urothelial carcinoma (UC) but has suboptimal sensitivity for early-stage tumors. Herein, we developed a multitarget urine tumor DNA test, UI-Seek, for UC detection and evaluated its clinical feasibility. The prediction model was developed in a retrospective cohort (n = 382), integrating assays for FGFR3 and TERT mutations and aberrant ONECUT2 and VIM methylation to generate a UC-score. The test performance was validated in a double-blinded, multicenter, prospective trial (n = 947; ChiCTR2300076543) and demonstrated a sensitivity of 91.37% and a specificity of 95.09%. The sensitivity reached 75.81% for low-grade Ta tumors and exceeded 93% in high-grade Ta and higher stages (T1 to T4). Simultaneous identification of both bladder and upper urinary tract tumors was enabled with sensitivities exceeding 90%. No significant confounding effects were observed regarding benign urological diseases or non-UC malignancies. The test showed improved sensitivities over urine cytology, the NMP22 test, and UroVysion FISH alongside comparable specificities. The single-target accuracy was greater than 98% as confirmed by Sanger sequencing. Post-surgery UC-score decreased in 97.7% of subjects. Overall, UI-Seek demonstrated robust performance and considerable potential for the early detection of UC. [ABSTRACT FROM AUTHOR]

Many important biological species have been identified as cancer biomarkers and are gradually becoming reliable targets for early diagnosis and late therapeutic evaluation of cancer. However, accurate quantitative detection of cancer biomarkers remains challenging due to the complexity of biological systems and the diversity of cancer development. Fluorescent probes have been extensively utilized for identifying biological substances due to their notable benefits of being non-invasive, quickly responsive, highly sensitive and selective, allowing real-time visualization, and easily modifiable. This review critiques fluorescent probes used for detecting and imaging cancer biomarkers over the last five years. Focuses are made on the design strategies of small-molecule and nano-sized fluorescent probes, the construction methods of fluorescence sensing and imaging platforms, and their further applications in detection of multiple biomarkers, including enzymes, reactive oxygen species, reactive sulfur species, and microenvironments. This review aims to guide the design and development of excellent cancer diagnostic fluorescent probes, and promote the broad application of fluorescence analysis in early cancer diagnosis. [ABSTRACT FROM AUTHOR]

Despite advances in understanding the development and progression of cancer in recent years, there remains a lack of comprehensive characterization of the cancer glycoproteome. Glycoproteins play an important role in medicine and are involved in various human disease conditions including cancer. Glycan-moieties participate in fundamental cancer processes like cell signaling, invasion, angiogenesis, and metastasis. Aberrant N -glycosylation significantly impacts cancer processes and targeted therapies in clinic. Therefore, understanding N -glycosylation in a tumor is essential for comprehending disease progression and discovering anti-cancer targets and biomarkers for therapy monitoring and diagnosis. This review presents the fundamental process of protein N -glycosylation and summarizes glycosylation changes in tumor cells, including increased terminal sialylation, N -glycan branching, and core-fucosylation. Also, the role of N -glycosylation in tumor signaling pathways, migration, and metabolism are discussed. Glycoproteins and glycopeptides as potential biomarkers for early detection of cancer based on site specificity have been introduced. Collectively, understanding and exploring the cancer glycoproteome, along with its role in medicine, implication in cancer and other human diseases, highlights the significance of N -glycosylation in tumor processes, necessitating further research for potential anti-cancer targets and biomarkers. Glycosylation has a great impact on cancer biology involving signaling, tumor invasion, metastasis, metabolism and angiogenesis, as well as contributes to biomarker discovery. [Display omitted] [ABSTRACT FROM AUTHOR]

Cancer biomarkers have revolutionized the field of oncology by providing valuable insights into tumor changes and aiding in screening, diagnosis, prognosis, treatment prediction, and risk assessment. The emergence of "omic" technologies has enabled biomarkers to become reliable and accurate predictors of outcomes during cancer treatment. In this review, we highlight the clinical utility of biomarkers in cancer identification and motivate researchers to establish a personalized/precision approach in oncology. By extending a multidisciplinary technology-based approach, biomarkers offer an alternative to traditional techniques, fulfilling the goal of cancer therapeutics to find a needle in a haystack. We target different forms of cancer to establish a dynamic role of biomarkers in understanding the spectrum of malignancies and their biochemical and molecular characterization, emphasizing their prospective contribution to cancer screening. Biomarkers offer a promising avenue for the early detection of human cancers and the exploration of novel technologies to predict disease severity, facilitating maximum survival and minimum mortality rates. This review provides a comprehensive overview of the potential of biomarkers in oncology and highlights their prospects in advancing cancer diagnosis and treatment. [ABSTRACT FROM AUTHOR]

Detecting ovarian cancer at an early stage is crucial for enhancing patient outcomes, underscoring the demand for an efficient and non-invasive detection method. Cancer antigen 125 (CA125) is a vital biomarker in ovarian cancer detection, and there is a pressing demand to develop a quick, sensitive, and simple detection method. Nanobiosensors are increasingly being used by scientists due to their high selectivity and sensitivity, allowing for the swift and precise detection of a wide range of biomarkers. This study aimed to design and fabricate an electrochemical nanobiosensor that could accurately and selectively detect CA125. The nanobiosensor employed graphitic carbon nitrides, molybdenum disulfide, and polyaniline (g-C3N4/MoS2/PANI) to stabilize aptamer strands on a modified glassy carbon electrode. The aptasensor was used to perform electrochemical detection of labeled CA125, utilizing methylene blue and label-free ferrocyanide methods. Ferrocyanide and methylene blue detection limits were determined to be 0.196 U.mL−1 for ferrocyanide and 0.196 U.mL−1 for methylene blue, with a linear detection range of 2–10 U.mL−1 for linear detection. The study results showed that the modified electrode exhibited high selectivity towards CA125 and superior stability compared to other biomolecules. The electrochemical aptasensor also displayed impressive performance when analyzing the serum of patients and healthy people. These findings hold significant promise for future investigation in ovarian cancer diagnosis. This novel electrochemical nanobiosensor may aid in the early detection and management of ovarian cancer, ultimately leading to better patient outcomes.

Cancer treatment has long been fraught with challenges, including drug resistance, metastasis, and recurrence, making it one of the most difficult diseases to treat effectively. Traditional therapeutic approaches often fall short due to their inability to target cancer stem cells and the complex genetic and epigenetic landscape of tumors. In recent years, cancer immunotherapy has revolutionized the field, offering new hope and viable alternatives to conventional treatments. A particularly promising area of research focuses on non-coding RNAs (ncRNAs), especially long non-coding RNAs (lncRNAs), and their role in cancer resistance and the modulation of signaling pathways. To address these challenges, we performed a comprehensive review of recent studies on lncRNAs and their impact on cancer immunotherapy. Our review highlights the crucial roles that lncRNAs play in affecting both innate and adaptive immunity, thereby influencing the outcomes of cancer treatments. Key observations from our review indicate that lncRNAs can modify the tumor immune microenvironment, enhance immune cell infiltration, and regulate cytokine production, all of which contribute to tumor growth and resistance to therapies. These insights suggest that lncRNAs could serve as potential targets for precision medicine, opening up new avenues for developing more effective cancer immunotherapies. By compiling recent research on lncRNAs across various cancers, this review aims to shed light on their mechanisms within the tumor immune microenvironment.

Breast cancer is the most common cancer in women and the leading cause of female deaths by cancer in the world worldwide. Hence, understanding the molecular mechanisms associated with breast cancer development and progression, including drug resistance and breast cancer metastasis, is essential for achieving the best management of breast cancer patients. Cancer-related long noncoding RNAs have been shown to be involved in the regulation of each stage of breast cancer progression. Additionally, exosomes are extracellular microvesicles that are central to intercellular communication and play an important role in tumorigenesis. Exosomes can be released from primary tumor cells into the bloodstream and transmit cellular signals to distant body sites. In this work, we review the findings regarding the cellular mechanisms regulated by exosomal lncRNAs that are essentials to chemoresistance development and metastasis of breast cancer. Likewise, we evaluate the outcomes of the potential clinical use of exosomal lncRNAs as breast cancer biomarkers to achieve personalized management of the patients. This finding highlights the importance of transcriptomic analysis of exosomal lncRNAs to understand the breast cancer tumorigenesis as well as to improve the clinical tests available for this disease.