Prognostic Molecular Biomarkers Research Articles

Association between Higher Expression of Vav1 in Hepatocellular Carcinoma and Unfavourable Clinicopathological Features and Prognosis

Objective: The aim was to investigate the potential relationship between Vav1 protein and prognosis in patients with hepatocellular carcinoma (HCC). Methods: Samples were collected from 96 patients with HCC. For each patient, cancerous tissue and adjacent non-cancerous tissue were obtained. The Vav1 expression levels in these tissues were determined using immunohistochemistry. Chi-square and Fisher's exact tests were used to analyse the associations between Vav1 expression and clinicopathological characteristics. Kaplan– Meier analysis was used to assess the relationship between Vav1 expression and 5-year overall survival (OS). Results: The expression level of Vav1 protein in primary tumour samples (64.46%; 59/96) was higher (33.33%; 32/96; P<0.001). Moreover, the high expression rate of Vav1 was correlated with tumour differentiation, TNM stage, and tumour recurrence (P<0.05). Univariate and multivariate Cox analysis further demonstrated that tumour differentiation, TNM stage, vascular invasion, tumour recurrence and Vav1 expression were independent prognostic factors for 5-year OS. Notably, follow-up analysis determined that patients with HCC with higher Vav1 expression levels have lower survival rates (P<0.05). Conclusion: Vav1 may serve as a promising molecular prognostic biomarker for patients diagnosed with HCC.

Exosomal miRNA-146a and miRNA-424 as possible predictors of immune checkpoint inhibitors therapy response in clear cell renal cell carcinoma

Clear cell renal cell carcinoma (ccRCC) is a malignant kidney tumor with a poor prognosis and difficult to treat. Despite significant advances in the treatment of ccRCC, immune checkpoint in-hibitors (ICI) still have limited therapeutic efficacy. A growing body of work has demonstrated that exosomal microRNAs are key modulators of tumor signaling and determinants of the tumor microenvironment. Disruption of microRNA regulation may affect ccRCC immunogenicity and response to ICI therapy, making them attractive for use as prognostic molecular genetic bi-omarkers. We evaluated exosomal miRNAs (miRNA-424,-146a,-503, -144) expression levels before and after ICI therapy in plasma samples obtained from 42 ccRCC patients. Expression analysis was performed by real-time PCR method. The results showed that the expression levels of miRNA-424 and miRNA-146a were upregulated after ICI therapy treatment (miRNA-424 = Mean ± SEM 1.202 ± 0.15 and miRNA-146a = 12.22 ± 1.45) compared expression levels before therapy (miRNA-424=Mean±SEM 0.63 ± 0.17; p-value = 0.03 and miRNA-146a = 7.03 ± 0.90; p-value = 0.006). miRNA-424 and miRNA-146a can be used to create a panel of molecular markers for evaluating the effectiveness of immune checkpoint inhibitors therapy. Even though this is very preliminary and requires further studying on a larger sample, it further increases the interest in using microRNAs, as additional ICI therapeutic markers capable of modulating immune tolerance.

Expression of p16INK4a, FLOT2, and EGFR in oropharyngeal carcinoma, prognostic significance and correlation with clinicopathological characteristics.

Various factors can affect the survival of patients with oropharyngeal cancer. We assessed the expression of protein p16INK4a, Flotillin2, epidermal growth factor receptor, and other clinicopathological features and their prognostic value for this type of cancer. We gathered patient data on demographics, clinicopathological characteristics, treatment patterns, and outcomes. Histologically and by immunochemistry staining we determined expression of prognostic factors and molecular biomarkers. The primary endpoints were overall survival (OS), disease-specific survival (DSS), and disease-free survival (DFS). Survival was assessed using the Kaplan-Meier method and Cox regression model analyses of potential prognostic parameters. After a median follow-up of 78 months, the median OS was 41 months, with an event recorded in 77.8% of patients. Median DFS was 22 months, 37 patients (51.4%) had disease relapse. The DSS survival rate was 58.3% with a median survival of 68 months. In regards to molecular biomarkers previously mentioned, there was no statistical significance for survival categories. After conducting a multivariate analysis of significant variables, we found that only recurrence, vascular invasion, and surgical intervention remained as factors with independent effects on both OS and DFS. Recurrence and the N stage were identified as independent prognostic factors for DSS. Our analysis underscores the complexity of factors that collectively influence survival following the diagnosis of OPSCC. Several factors were found to be statistically significant. These factors included the type of surgical procedure, disease relapse, vascular invasion, lymphatic invasion, perineural invasion, advanced T stage of the disease, N stage of the disease, and smoking status. The significance of these factors may vary across different types of survival. This analysis did not find any significant impact on survival from the growth factors tested, namely epidermal growth factor receptor, Flotillin2, and p16INK4a, in the applied regression models.

Clinical, pathologic and molecular findings in 2 Rottweiler littermates with appendicular osteosarcoma

Appendicular osteosarcoma was diagnosed and treated in a pair of littermate Rottweiler dogs, resulting in distinctly different clinical outcomes despite similar therapy within the context of a prospective, randomized clinical trial (NCI-COTC021/022). Histopathology, immunohistochemistry, mRNA sequencing, and targeted DNA hotspot sequencing techniques were applied to both dogs’ tumors to define factors that could underpin their differential response to treatment. We describe the comparison of their clinical, histologic and molecular characteristics, as well as those from a companion cohort of Rottweiler dogs. A pan-cancer genomic sequencing panel conducted in the sibling dogs demonstrated both shared and distinct alterations in several genes implicated in osteosarcoma, including CDKN2B, SETD2, MYC, and PDGFRA, while transcriptional profiling of primary tumor tissue indicated under-expression of key immunological response genes. This report provides new insight into molecular features and potential prognostic biomarkers for canine osteosarcoma.

Immune infiltration and prognosis in gastric cancer: role of NAD+ metabolism-related markers.

This study endeavored to develop a nicotinamide adenine dinucleotide (NAD+) metabolism-related biomarkers in gastric cancer (GC), which could provide a theoretical foundation for prognosis and therapy of GC patients. In this study, differentially expressed genes (DEGs1) between GC and paraneoplastic tissues were overlapped with NAD+ metabolism-related genes (NMRGs) to identify differentially expressed NMRGs (DE-NMRGs). Then, GC patients were divided into high and low score groups by gene set variation analysis (GSVA) algorithm for differential expression analysis to obtain DEGs2, which was overlapped with DEGs1 for identification of intersection genes. These genes were further analyzed using univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analyses to obtain prognostic genes for constructing a risk model. Enrichment and immune infiltration analyses further investigated investigate the different risk groups, and qRT-PCR validated the prognostic genes. Initially, we identified DE-NMRGs involved in NAD biosynthesis, with seven (DNAJB13, CST2, THPO, CIDEA, ONECUT1, UPK1B and SNCG) showing prognostic significance in GC. Subsequent, a prognostic model was constructed in which the risk score, derived from the expression profiles of these genes, along with gender, emerged as robust independent predictors of patient outcomes in GC. Enrichment analysis linked high-risk patients to synaptic membrane pathways and low-risk to the CMG complex pathway. Tumor immune infiltration analysis revealed correlations between risk scores and immune cell abundance, suggesting a relationship between NAD+ metabolism and immune response in GC. The prognostic significance of our identified genes was validated by qRT-PCR, which confirmed their upregulated expression in GC tissue samples. In this study, seven NAD+ metabolism-related markers were established, which is of great significance for the development of prognostic molecular biomarkers and clinical prognosis prediction for gastric cancer patients.

Bioinformatic analysis and experimental validation of six cuproptosis-associated genes as a prognostic signature of breast cancer.

Breast carcinoma (BRCA) is a life-threatening malignancy in women and shows a poor prognosis. Cuproptosis is a novel mode of cell death but its relationship with BRCA is unclear. This study attempted to develop a cuproptosis-relevant prognostic gene signature for BRCA. Cuproptosis-relevant subtypes of BRCA were obtained by consensus clustering. Differential expression analysis was implemented using the 'limma' package. Univariate Cox and multivariate Cox analyses were performed to determine a cuproptosis-relevant prognostic gene signature. The signature was constructed and validated in distinct datasets. Gene set variation analysis (GSVA) and gene set enrichment analysis (GSEA) were also conducted using the prognostic signature to uncover the underlying molecular mechanisms. ESTIMATE and CIBERSORT algorithms were applied to probe the linkage between the gene signature and tumor microenvironment (TME). Immunotherapy responsiveness was assessed using the Tumor Immune Dysfunction and Exclusion (TIDE) web tool. Real-time quantitative PCR (RT-qPCR) was performed to detect the expressions of cuproptosis-relevant prognostic genes in breast cancer cell lines. Thirty-eight cuproptosis-associated differentially expressed genes (DEGs) in BRCA were mined by consensus clustering and differential expression analysis. Based on univariate Cox and multivariate Cox analyses, six cuproptosis-relevant prognostic genes, namely SAA1, KRT17, VAV3, IGHG1, TFF1, and CLEC3A, were mined to establish a corresponding signature. The signature was validated using external validation sets. GSVA and GSEA showed that multiple cell cycle-linked and immune-related pathways along with biological processes were associated with the signature. The results ESTIMATE and CIBERSORT analyses revealed significantly different TMEs between the two Cusig score subgroups. Finally, RT-qPCR analysis of cell lines further confirmed the expressional trends of SAA1, KRT17, IGHG1, and CLEC3A. Taken together, we constructed a signature for projecting the overall survival of BRCA patients and our findings authenticated the cuproptosis-relevant prognostic genes, which are expected to provide a basis for developing prognostic molecular biomarkers and an in-depth understanding of the relationship between cuproptosis and BRCA.

Diagnostic, predictive and prognostic molecular biomarkers in clear cell renal cell carcinoma: A retrospective study.

Clear cell renal cell carcinoma (ccRCC) is a common and aggressive subtype of kidney cancer. Many patients are diagnosed at advanced stages, making early detection crucial. Unfortunately, there are currently no noninvasive tests for ccRCC, emphasizing the need for new biomarkers. Additionally, ccRCC often develops resistance to treatments like radiotherapy and chemotherapy. Identifying biomarkers that predict treatment outcomes is vital for personalized care. The integration of artificial intelligence (AI), multi-omics analysis, and computational biology holds promise in bolstering detection precision and resilience, opening avenues for future investigations. The amalgamation of radiogenomics and biomaterial-basedimmunomodulation signifies a revolutionary breakthrough in diagnostic medicine. This review summarizes existing literature and highlights emerging biomarkers that enhance diagnostic, predictive, and prognostic capabilities for ccRCC, setting the stage for future clinical research.

Comprehensive analysis of lncRNA-miRNA-mRNA ceRNA network in ischemic stroke

ObjectiveCompetitive endogenous RNA (ceRNA) networks have uncovered a novel mode of RNA interaction, and are implicated in various biological processes and the pathogenesis of IS. This study aimed to explore the potential mechanisms underlying the ceRNA network in IS. MethodsFour public datasets containing lncRNA and mRNA (GSE22255 and GSE16561) and miRNA (GSE55937 and GSE43618) expression profiles from the GEO database were systematically analyzed to explore the role of RNAs in ischemic stroke (IS). Differentially expressed mRNAs (DEmRNAs), lncRNAs (DElncRNAs), and miRNAs (DEmiRNAs) between IS and normal control samples were identified. LncRNA-miRNA and miRNA-mRNA interactions were predicted, and the competing endogenous RNA (ceRNA) regulatory network was constructed using the Cytoscape software. The correlation between the RNAs in the ceRNA network and the clinical features of the samples was evaluated. Finally, principal component analysis was performed on the RNAs that constitute the ceRNA regulatory network, and their differential expression and principal component relationships among different types of samples were observed. ResultsA total of 224 DEmRNAs, 7 DEmiRNAs, and four DElncRNAs related to IS in four datasets were identified. Then, through target gene prediction, a lncRNA–miRNA–mRNA ceRNA network that contained 3 DElncRNAs, 2 DEmiRNAs, and 24 DEmRNAs was constructed. Correlations of the clinical characteristics showed that PART1 and SERPINH1 were related to clinical diseases, WNK1 was related to lifestyle, and seven RNAs were related to age. PCA results indicate that three principal components of PC1, PC2, and PC3 can clearly distinguish between control and IS samples. ConclusionOverall, we constructed a ceRNA network in IS, which could offer insights into the molecular mechanism and potential prognostic biomarkers for further research.

Comprehensive single-cell transcriptomic profiling reveals molecular subtypes and prognostic biomarkers with implications for targeted therapy in esophageal squamous cell carcinoma

BackgroundEsophageal squamous cell carcinoma (ESCC) is a genetically heterogeneous disease with poor clinical outcomes. Identification of biomarkers linked to DNA replication stress may enable improved prognostic risk stratification and guide therapeutic decision making. We performed integrated single-cell RNA sequencing and computational analyses to define the molecular determinants and subtypes underlying ESCC heterogeneity. MethodsSingle-cell RNA sequencing was performed on ESCC samples and analyzed using Seurat. Differential gene expression analysis was used to identify esophageal cell phenotypes. DNA replication stress-related genes were intersected with single-cell differential expression data to identify potential prognostic genes, which were used to generate a DNA replication stress (DRS) score. This score and associated genes were evaluated in survival analysis. Putative prognostic biomarkers were evaluated by Cox regression and consensus clustering. Mendelian randomization analyses assessed the causal role of PRKCB. ResultsHigh DRS score associated with poor survival. Four genes (CDKN2A, NUP155, PPP2R2A, PRKCB) displayed prognostic utility. Three molecular subtypes were identified with discrete survival and immune properties. A 12-gene signature displayed robust prognostic performance. PRKCB was overexpressed in ESCC, while PRKCB knockdown reduced ESCC cell migration. ConclusionsThis integrated single-cell sequencing analysis provides new insights into the molecular heterogeneity and prognostic determinants underlying ESCC. The findings identify potential prognostic biomarkers and a gene expression signature that may enable improved patient risk stratification in ESCC. Experimental validation of the role of PRKCB substantiates the potential clinical utility of our results.

Long noncoding RNA small nucleolar RNA host genes as prognostic molecular biomarkers in hepatocellular carcinoma: A meta-analysis.

Recently, increasing data have suggested that the lncRNA small nucleolar RNA host genes (SNHGs) were aberrantly expressed in hepatocellular carcinoma (HCC), but the association between the prognosis of HCC and their expression remained unclear. The purpose of this meta-analysis was to determine the prognostic significance of lncRNA SNHGs in HCC. We systematically searched Embase, Web of Science, PubMed, and Cochrane Library for eligible articles published up to February 2024. The prognostic significance of SNHGs in HCC was evaluated by hazard ratios (HRs) and 95% confidence intervals (CIs). Odds ratios (ORs) were used to assess the clinicopathological features of SNHGs. This analysis comprised a total of 25 studies covering 2314 patients with HCC. The findings demonstrated that over-expressed SNHGs were associated with larger tumor size, multiple tumor numbers, poor histologic grade, earlier lymphatic metastasis, vein invasion, advanced tumor stage, portal vein tumor thrombosis (PVTT), and higher alpha-fetoprotein (AFP) level, but not with hepatitis B virus (HBV) infection, and cirrhosis. In terms of prognosis, patients with higher SNHG expression were more likely to have shorter overall survival (OS), relapse-free survival (RFS), and disease-free survival (DFS). In conclusion, upregulation of SNHGs expression correlates with shorter OS, RFS, DFS, tumor size and numbers, histologic grade, lymphatic metastasis, vein invasion, tumor stage, PVTT, and AFP level, suggesting that SNHGs may serve as prognostic biomarkers in HCC.

Prognostic Molecular Biomarkers in Breast Cancer Lesions with Non-Mass Enhancement on MR.

Clustered ring enhancement (CRE) is a new lexicon for non-mass enhancement (NME) of breast MR in the 5th BIRADS, indicating a high suspicion of malignancy. We wonder if the presence of CRE correlates with expression of prognostic molecular biomarkers of breast cancer. A total of 58 breast lesions, which MRI reported with NME, were collected between July 2013 and December 2018. The patterns of enhancement including CRE were reviewed and the pathological results with expression of molecular biomarkers were collected. The association between MRI NME, pathological, and IHC stain findings were investigated under univariate analysis. A total of 58 breast lesions were pathologically proven to have breast cancer, comprising 31 lesions with CRE and 27 lesions without CRE on breast MRI. The expression of the estrogen receptor (ER) (p = 0.017) and the progesterone receptor (PR) (p = 0.017) was significantly lower in lesions with CRE as compared with those without CRE. The expression of Ki-67 (≥25%) was significantly higher in lesions with CRE (p = 0.046). The lesions with CRE had a lower expression ratio of ER (50.71 ± 45.39% vs. 74.26 ± 33.59%, p = 0.028). Our study indicated that lesions with CRE may possess different features from those without CRE in molecular expression, bearing a more aggressive behavior.

Pattern of Circulating Microrna's in Patients with Psoriatic Arthritis

Psoriatic arthritis (PsA) is a common rheumatic disease with an extremely variable phenotype. The main domains of PsA are peripheral arthritis, spondylitis, enthesitis and dactylitis. Studying new mechanisms of PsA development can help in finding the key to the development of innovative diagnostic methods and personalized approaches to the treatment of this disease. In recent years, the role of non-coding ribonucleic acids (RNA) in various diseases has been actively discussed, and the highest interest of researchers and clinicians has been focused on microRNAs. The purpose of this review was to search and systematize pre-clinical and clinical studies on the role of circulating microRNAs in the development of PsA and to update knowledge about molecular biomarkers of this disease. The search was conducted in PubMed, Springer, Web of Science, Clinicalkeys, Scopus, OxfordPress, The Cochrane Library, and eLibrary databases using specific keywords and their combinations. We have analysed the publications for 2013-2023, including clinical studies of PsA and psoriasis (PsO). As a result of this descriptive review, miR-10b-5p, miR-126-3p, miR-151a-5p, and miR-130a-3p can be considered as promising molecular biomarkers of PsA and therapeutic response. However, the role of other miRs is debatable and needs further study. In the future, it will be possible to consider previously studied circulating microRNAs with high specificity and sensitivity in PsA as prognostic molecular biomarkers (predictors) of the risk of developing and severity of this disease in patients with PsO.

Molecular insights into gastric cancer: The impact of TGFBR2 and hsa-mir-107 revealed by microarray sequencing and bioinformatics

BackgroundGastric carcinoma (GC) remains a significant therapeutic challenge, garnering widespread attention. Oxymatrine (OMT), an active component of the traditional Chinese medicine compound Kushen injection (CKI), has shown promising results in combination with chemotherapy for the treatment of GC. However, the molecular mechanisms underlying OMT's therapeutic effects in GC have yet to be elucidated. MethodsThe transcriptomic expression data of HGC-27 post-OMT intervention were obtained through microarray sequencing, while the miRNA and mRNA sequencing data for GC patients were sourced from the TCGA database. The mechanism of OMT intervention in GC is analyzed in multiple aspects, including Protein-Protein Interactions (PPI), Competitive Endogenous RNA (ceRNA) networks, correlation and co-expression analyses, immune infiltration, and clinical implications. ResultsBy analyzing key modules, five critical mRNAs were identified, and their interacting miRNAs were predicted to construct a ceRNA network. Among these, TGFBR2 and hsa-miR-107 have correlations or co-expression relationships with other genes in the network. They are differentially expressed in most other cancers, associated with prognosis, and have diagnostic value. TGFBR2 also exhibits immune infiltration phenomena, and its high expression is linked to poor patient prognosis. Low expression of hsa-miR-107 is associated with poor patient prognosis. OMT may act on the TGFβ/Smad signaling pathway or negatively regulate the WNT signaling pathway through the hsa-miR-107/BTRC axis, thereby inhibiting the onset and progression of GC. ConclusionThe mechanisms of OMT intervention in GC are diverse, TGFBR2 and hsa-miR-107 may serve as prognostic molecular biomarkers or potential therapeutic targets.

Screening out molecular pathways and prognostic biomarkers of ultraviolet-mediated melanoma through computational techniques.

Ultraviolet radiation causes skin cancer, but the exact mechanism by which it occurs and the most effective methods of intervention to prevent it are yet unknown. For this purpose, our study will use bioinformatics and systems biology approaches to discover potential biomarkers of skin cancer for early diagnosis and prevention of disease with applicable clinical treatments. This study compared gene expression and protein levels in ultraviolet-mediated cultured keratinocytes and adjacent normal skin tissue using RNA sequencing data from the National Center for Biotechnology Information-Gene Expression Omnibus (NCBI-GEO) database. Then, pathway analysis was employed with a selection of hub genes from the protein-protein interaction (PPI) network and the survival and expression profiles. Finally, potential clinical biomarkers were validated by receiver operating characteristic (ROC) curve analysis. We identified 32 shared differentially expressed genes (DEGs) by analyzing three different subsets of the GSE85443 dataset. Skin cancer development is related to the control of several DEGs through cyclin-dependent protein serine/threonine kinase activity, cell cycle regulation, and activation of the NIMA kinase pathways. The cytoHubba plugin in Cytoscape identified 12 hub genes from PPI; among these 3 DEGs, namely, AURKA, CDK4, and PLK1 were significantly associated with survival (P < 0.05) and highly expressed in skin cancer tissues. For validation purposes, ROC curve analysis indicated two biomarkers: AURKA (area under the curve (AUC) value = 0.8) and PLK1 (AUC value = 0.7), which were in an acceptable range. Further translational research, including clinical experiments, teratogenicity tests, and in-vitro or in-vivo studies, will be performed to evaluate the expression of these identified biomarkers regarding the prognosis of skin cancer patients.

A transcriptome based molecular classification scheme for cholangiocarcinoma and subtype-derived prognostic biomarker

Previous studies on the molecular classification of cholangiocarcinoma (CCA) focused on certain anatomical sites, and disregarded tissue contamination biases in transcriptomic profiles. We aim to provide universal molecular classification scheme and prognostic biomarker of CCAs across anatomical locations. Comprehensive bioinformatics analysis is performed on transcriptomic data from 438 CCA cases across various anatomical locations. After excluding CCA tumors showing normal tissue expression patterns, we identify two universal molecular subtypes across anatomical subtypes, explore the molecular, clinical, and microenvironmental features of each class. Subsequently, a 30-gene classifier and a biomarker (called “CORE-37”) are developed to predict the molecular subtype of CCA and prognosis, respectively. Two subtypes display distinct molecular characteristics and survival outcomes. Key findings are validated in external cohorts regardless of the stage and anatomical location. Our study provides a CCA classification scheme that complements the conventional anatomy-based classification and presents a promising prognostic biomarker for clinical application.

Evaluacija ekspresije, dijagnostičkog i prognostičkog značaja hsa-miR-675-5p kod oralnog karcinoma

Introduction: Oral cancer is the most common subtype of cancer in the head and neck region, with an increasing incidence worldwide. Unfortunately, no specific biomarkers are used in everyday clinical practice. Small non-coding RNA molecules, microRNA (miRNA), are considered sensitive biomarkers for early diagnosis as well as prognosis in patients with oral cancer. Especially, microRNA derived from the H19 locus are poorly investigated for their potential role in oral cancer. Aim: The aim of this study was to evaluate expression of hsa-miR675-5p in tumor and non-tumor tissues of oral cancer patients and to associate it with pathohistological features. Material and Methods: The study group consisted of 35 patients with oral cancer. Tumor and surrounding non-tumor tissues were taken from each patient. Relative expression was measured using the quantitative reverse transcription - real time PCR method. Results: The relative expression of hsa-miR-675-5p was lower in oral cancer tumor than in non-tumor tissue suggesting its tumor suppressive role. hsa-miR-675-5p has diagnostic potential for sensitive distinction of tumor and non-tumor tissues in oral cancer patients. There was no difference in overall survival rates between patients with low and high hsa-miR-675-5pexpression, confirming that hsa-miR-675-5p cannot be used as a prognostic biomarker in patients with oral cancer. Conclusion: hsa-miR-675-5p can be considered as a potential diagnostic but not a prognostic molecular biomarker in oral cancer.

Immunoexpression of p53 and Ki-67 in Urinary Bladder Carcinoma and Their Association with Tumor Grade and Muscle-invasiveness

Background: Urinary bladder carcinoma is one of the threatening causes of human morbidity and mortality. Various molecular studies and prognostic biomarkers are helpful to assess the outcome of urinary bladder carcinoma. High expression of p53 and Ki-67 represents the aggressiveness of the disease and indicates poor prognosis. Methods: This cross-sectional study was conducted at the Department of Pathology, Sylhet MAG Osmani Medical College from September 2018 to July 2020 to observe the immunoexpression of p53 and Ki-67 in urinary bladder carcinoma and their association with tumor grade and muscle-invasiveness. Total 57 transurethral resection (TURBT) samples of radiologically and clinically suspected bladder tumor cases were diagnosed histopathologically included in the study. Results: Age of the study patients ranged from 35 to 80 years with a mean of 60.60 ± 11.14 and male to female ratio was 4.7:1. There were 31 (54.4%) high grade and 26 (45.6%) low grade urinary bladder carcinomas on histopathological examination. Thirty (52.6%) cases were histopathologically muscle invasive bladder carcinoma (MIBC) and 27 (47.4%) cases were non-muscle invasive bladder carcinoma (NMIBC). Positive p53 expression was observed in 24 (77.4%) cases of high grade carcinoma while only in 6 (23.1%) cases of low grade urinary bladder carcinoma. Positive p53 expression was seen in 22 (73.3%) cases of MIBC and 8 (29.6%) cases of NMIBC. Ki-67 expression was found positive in 27 (87.1%) cases of high grade carcinoma while only in 7 (26.9%) cases of low grade urinary bladder carcinoma. Positive Ki-67 expression was seen in 25 (83.3%) cases of MIBC and 9 (33.3%) cases of NMIBC. Statistically significant association (P&lt;0.05) was observed in histopathological grades and muscle invasiveness of UBC with p53 and Ki-67 expression. Conclusion: p53 and Ki-67 immunomarker may be helpful to provide additional prognostic information in urinary bladder carcinoma.

Diffusion-Weighted MRI for the Assessment of Molecular Prognostic Biomarkers in Breast Cancer.

This study systematically reviewed the role of diffusion-weighted imaging (DWI) in the assessment of molecular prognostic biomarkers in breast cancer, focusing on the correlation of apparent diffusion coefficient (ADC) with hormone receptor status and prognostic biomarkers. Our meta-analysis includes data from 52 studies examining ADC values in relation to estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), and Ki-67 status. The results indicated significant differences in ADC values among different receptor statuses, with ER-positive, PgR-positive, HER2-negative, and Ki-67-positive tumors having lower ADC values compared to their negative counterparts. This study also highlights the potential of advanced DWI techniques such as intravoxel incoherent motion and non-Gaussian DWI to provide additional insights beyond ADC. Despite these promising findings, the high heterogeneity among the studies underscores the need for standardized DWI protocols to improve their clinical utility in breast cancer management.

Predicting histopathological types and molecular subtype of breast tumors: A comparative study using amide proton transfer-weighted imaging, intravoxel incoherent motion and diffusion kurtosis imaging

PurposeTo evaluate the predictive performance of multiparameter and histogram features derived from amide proton transfer-weighted imaging (APTWI), intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI) for histopathological types of breast tumors. MethodsRegion of interest (ROI) was delineated by outlining the largest slice of the tumor on the false-color images of the DKI, IVIM and APTWI parameters, and extracted the histogram features. Receiver operating characteristic (ROC) curve was used to evaluate the performance of parameters in predicting benign and malignant breast lesions, molecular prognostic biomarkers, lymph node status, and subtypes of breast lesions. The Spearman correlation coefficient was used to determine the correlations between each parameter and clinical-pathological factors. ResultsAll 52 breast lesions were enrolled in this prospective study, including 8 benign lesions and 44 breast cancers. To diagnose malignant and benign breast lesions, the value of APT (min) performed best, with the AUC reaching 0.983. According to the different imaging methods, the APTWI performed best. To predict the positive status of ER, PR, Ki67, the value of Dapp (uniformity), Dapp (uniformity), f (entropy) performed best, with the AUC values reaching 0.743, 0.770, 0.848, respectively. For the identification of Luminal B, HER2-enriched, and TNBC breast cancers, Kapp (max), f (kurtosis), and Dapp (uniformity) performed best, with AUC values reaching 0.679, 0.826, 0.771, respectively. ConclusionThis study found the APTWI, IVIM and DKI parameters could diagnose breast cancer. The histogram features of DKI and IVIM, based on tumor heterogeneity, may help to predict breast cancer subtypes.

Prediction of prognostic and immune therapy response in lung adenocarcinoma based on MHC-I-related genes

Objectives The study investigated the prognostic and immune predictive potential of major histocompatibility complex class I (MHC-I) in lung adenocarcinoma (LUAD). Materials and Methods With The Cancer Genome Atlas (TCGA)-LUAD and Gene Expression Omnibus datasets (GSE26939, GSE72094) as the training and validation sets, respectively, we used Cox regression analysis to construct a prognostic model, and verified independence of riskscore. The predictive capacity of the model was assessed in both sets using the receiver operating characteristic curve and Kaplan-Meier survival curves. Immune analysis was performed by using ssGSEA. Additionally, immune checkpoint blockade therapy was assessed by using immunophenoscore, Tumor Immune Dysfunction and Exclusion score. Based on the cMAP database, effective small molecule compounds were predicted. Results A prognostic model was established based on 8 MHC-I-related genes, and the predictive capacity of the model was accurate. Immune analysis results revealed that patients classified as high-risk had lower levels of immune cell infiltration and impaired immune function. The low-risk group possessed a better response to immune checkpoint blockade therapy. Theobromine and pravastatin were identified as having great potential in improving the prognosis of LUAD. Conclusion Overall, the study revealed MHC-I-related molecular prognostic biomarkers as robust indicators for LUAD prognosis and immune therapy response.