Papillary Cell Carcinoma Research Articles

INCIDENTAL RCC IN AN END-STAGE RENAL DISEASE : A RARE CASE REPORT

The incidence of end-stage renal disease has increased owing to the greater prevalence of patients with chronic kidney disease and diabetes mellitus .Acquired renal cystic disease (ARCD), renal adenoma (AD), and renal cell carcinoma (RCC) are more common in patients with end-stage renal disease (ESRD).Clear cell papillary carcinoma is the most common variant of RCC in ESRD patients. In our case,a 52 yr old male presented to the surgery department withcomplains of left renal colic.CECT scan was suggestive of left renal obstructive calculi and the possibility of left pyeloureteritis. The clinical diagnosis of left poorly functioning kidney was made. On the basis of clinical and histopathological findings , the diagnosis of End stage renal disease with renal cell carcinoma was made . IHC was advised. On IHC, PAX8, vimentin and CK7 were positive .On the basis of IHC, the diagnosis of Clear cell papillary carcinoma was made.

PER3 promoter hypermethylation correlates to the progression of pan-cancer

BackgroundMalignant cells exhibit reduced period circadian regulator 3 (PER3) expression. However, the underlying mechanisms of variations in PER3 expression in cancers and the specific function of PER3 in tumor progression remain poorly understood.ResultsWe explored multiple public databases, conducted bioinformatics analyses, and performed in vitro and in vivo experiments for validation. We found PER3 expression was decreased in most types of cancers, and PER3 downregulation was associated with a poor prognosis in 8 types of cancer. PER3 promoter methylation levels were increased in 11 types of cancer. Promoter hypermethylation (CpG islands [CGIs] cg12258811 and cg14204433) correlated with decreased PER3 expression in six cancers (breast invasive carcinoma, colon adenocarcinoma, head and neck squamous cell carcinoma, kidney renal papillary cell carcinoma [KIRP], lung adenocarcinoma [LUAD], and uterine corpus endometrial carcinoma). CGI cg12258811 hypermethylation was associated with reduced survival time and advanced cancer stages. Moreover, the bisulfite pyrosequencing assay confirmed CGI cg12258811 hypermethylation and its negative correlation with PER3 expression. In vitro and in vivo experiments demonstrated that PER3 inhibited KIRP and LUAD progression. Decitabine enhanced PER3 expression and inhibited KIRP cell functions by reducing promoter (cg12258811) methylation level.ConclusionsOur findings advanced the mechanistic understanding of variations in PER3 expression in cancers and confirmed the tumor-associated function of PER3 hypermethylation and downregulation.

SPECC1 as a pan-cancer biomarker: unraveling its role in drug sensitivity and resistance mechanisms

Previous studies have shown a relationship between SPECC1 and the prognosis of breast cancer, indicating a potential function for SPECC1 in the initiation and progression of cancer. However, the role played by SPECC1 in other tumors is not yet known. Therefore, we used bioinformatics techniques to conduct a thorough investigation into the possible mechanism of SPECC1 in pan-cancer, analyzing data reported in the literature as well as databases such as GTEx and CCLE, cBioportal, TCGA, and UCSC XENA. Comparing the results with matching normal tissues, the majority of cancers, including pancreatic adenocarcinoma (PAAD) and breast invasive carcinoma (BRCA), exhibited higher levels of SPECC1, while hepatocellular carcinoma (HCC) showed lower expression levels. SPECC1 was also found to be genetically mutated in endometrial cancer, sarcoma, and esophageal cancer. The prognosis of lung adenocarcinoma, kidney papillary cell carcinoma, and breast cancer is highly correlated with dysregulation of SPECC1 expression. This work helps guide clinical therapy by highlighting the sensitivity of tumor-treating medicines and the prognostic importance of SPECC1 in various malignancies. KEGG pathway enrichment analysis revealed focused adhesion, collagen-containing extracellular matrix (collagen), and the primary enrichment domains for SPECC1-related genes. These findings were obtained through gene annotation (GO) examination of SPECC1 expression. Primary mediators of the cytokine-cytokine receptor interaction include PICOC1-associated genes, cell-substrate junction genes, and extracellular matrix containing collagen. PICOC1-associated genes primarily mediate the PI3K-AKT signaling pathway. Drug sensitivity assay showed that SPECC1 high-expressing cell lines were more sensitive to docetaxel, doxorubicin, etc. In conclusion, the current study shows how SPECC1 is expressed in different cancers and how this expression relates to the prognosis of the tumor. It also revealed the mutations and copy number variations of SPECC1 in various tumors and its potential involvement in cellular pathway regulatory networks and cytological processes. This study examines the relationship between immune genes, cellular infiltration, and immunological scores in the tumor microenvironment, which explain the severity of the disease. This study looks at the response of SPEC1 expression to anticancer therapy. Explains the prognostic significance and drug response of SPECC-1.

MAPK pathway and NIS in B-CPAP human papillary thyroid carcinoma cells treated with resveratrol

BackgroundResveratrol, a herbal phytoalexin, is known to have anti-tumor effects in several tumors including thyroid cancer cells. AimThe aim of this study was to determine the effects of resveratrol on the expression of BRAF, ERK and NIS mRNA levels and protein expression in B-CPAP human thyroid papillary cancer cell line. MethodsB-CPAP cells were treated with resveratrol at concentrations of 10–100 μM for 24–48–72 h. Cell viability was assessed by XTT Cell Proliferation Assay. BRAF, ERK and NIS mRNA levels were evaluated by rt-PCR method. Protein expressions were evaluated by Western Blot method. ResultsResveratrol was found to inhibit cell proliferation in a time and dose dependent manner. The IC50 values of resveratrol were 18.7 μM and 56.8 μM after 48 h and 72 h respectively. Resveratrol treatment of B-CPAP cells resulted in up to 1.5-fold reduction in BRAF mRNA and up to 5.5 fold reduction in ERK mRNA levels. NIS mRNA levels showed up to 3-fold increase. Western Blot studies confirmed the rt- PCR results with a decrease in BRAF and ERK, and increase in NIS protein expressions. ConclusionThis study demonstrated that resveratrol inhibits thyroid papillary carcinoma cell proliferation and reduces poor prognostic BRAF and ERK mRNA and protein expressions, while increasing NIS mRNA and protein expression suggesting a redifferentiating effect. More studies are needed to evaluate resveratrol as a novel therapeutic agent in the treatment of papillary thyroid cancer.

Sarcomatoid Urothelial Carcinoma Arising in Autosomal Dominant Polycystic Kidney Disease: A Case Report and Literature Review.

Autosomal dominant polycystic kidney disease (ADPKD) may be associated with various epithelial malignancies. The most reported ones are papillary renal cell carcinoma (RCC) and clear cell RCC. Only one noninvasive urothelial carcinoma arising in the renal pelvis has been previously reported in the setting of ADPKD in the English literature. A 52-year-old patient with ADPKD and a history of renal transplant presented with a poorly differentiated sarcomatoid neoplasm in his native left polycystic kidney. A recognizable urothelial or renal cell carcinoma differentiation was not identified in the resected neoplasm microscopically. The initial diagnosis for this specimen was challenging on morphology and immunohistochemistry, but targeted next-generation sequencing provided molecular evidence in support of urothelial origin, indicating a hotspot mutation -124 C > T in the TERT promoter (C228 T) and loss of heterozygosity on chromosomes 9p and 8p. This tumor is unique because, to our knowledge, this is the first report of upper tract sarcomatoid urothelial carcinoma in a patient with ADPKD.

The functional DIAPH3-FOXM1 interaction modulates the aggressive transformation of anaplastic thyroid carcinoma cells and Wnt/β-catenin signalling.

Anaplastic thyroid carcinoma (ATC) is reckoned as an infrequent but extremely advanced neoplasm of the endocrine system. Diaphanous-related formin 3 (DIAPH3) has been extensively implicated in carcinogenic events, but it has not been introduced in ATC. Herein, the role of DAPIH3 and the interrelated functional mechanism are characterised in ATC. The Gene Expression Omnibus (GEO) database was checked for differential DIAPH3 expression in ATC samples and noncancerous samples. Western blotting examined DIAPH3 and forkhead box M1 (FOXM1) expression in ATC cells. In vitro cell counting kit 8 (CCK-8) method, 5-ethynyl-2'-deoxyuridine (EdU) incorporation, Scratch, Matrigel invasion, and terminal-deoxynucleotidyl transferase mediated nick end labelling (TUNEL) assays were used to assess the potential of cells to proliferate, migrate, and invade as well as the cellular apoptotic rate. Co-IP was applied to access DIAPH3-FOXM1 protein interaction. Western blotting also disclosed the expression of proteins associated with apoptosis and Wnt/β-catenin signalling. DIAPH3 was hyper-expressed in papillary cell carcinoma (PTC) tissues and cells. Depleting DIAPH3 strongly eliminated the proliferative, migratory, as well as invasive capabilities of PTC cells while intensifying the apoptotic ability. FOXM1 also harboured elevated expression in PTC cells. FOXM1 was the binding partner with DIAPH3, and the 2 were positively correlated. FOXM1 upregulation again exacerbated the potentials to proliferate, migrate, and invade but it repressed the apoptotic rate of DIAPH3-depleted cells. Furthermore, loss of DIAPH3 downregulated FOXM1 to block Wnt/b-catenin signalling in PTC cells. Combined with these findings, DIAPH3 might favour the aggressive advancement of ATC and motivate the Wnt/β-catenin signalling via binding with FOXM1.

Molecular signature of immune-related new survival predictions for subtype of renal cell carcinomas.

Kidney renal papillary cell carcinoma (KIRP), kidney chromophobe (KICH), and kidney renal clear cell carcinoma (KIRC) are three most common subtypes of renal cell carcinomas (RCC), and its development is a multifaceted process that intricately involves the interplay of numerous genes. Despite recent advances in research on renal cell carcinoma, the prognosis of KIRC patients remains dismal. Therefore, there is an urgent need to explore new prognostic biomarkers and treatment strategies to help clinicians choose more effective treatment methods and accurately predict long-term efficacy. Our study aimed to systematically evaluate the gene expression profiles of three RCC subtypes, especially KIRC, and to identify survival-related biomarker. In our present study, we systematically evaluate the genes expression profile difference among three subtypes of RCC, and identify the survival-related key genes signature based on GEPIA2. GeneMANIA was used to identify the functionality-related differentially expressed genes (DEGs). Furthermore, focusing on KIRC, we intersected functionality-related and survival-related DEGs based on two datasets. We ascertained five DEGs (ANK3, FREM2, KIF13B, MPP7 and SOX6) as key survival-related genes in KIRC. High levels of these five DEGs expressions were strongly associated with favorable prognosis, but not correlated to metastasis. Downregulation of these five DEGs expressions was closely associated with immunomodulators, chemokines, and infiltrating levels of different immune cells, which indicated that these five DEGs were key immune-related novel prognostic biomarkers for KIRC. The five identified DEGs serve as potential novel prognostic biomarkers for KIRC. However, the crucial factors that lead to the downregulation and functional inactivation of these five key genes need to be explored in future studies.

HDAC1: a promising target for cancer treatment: insights from a thorough analysis of tumor functions.

Many significant findings from recent studies have revealed the significance of histone deacetylase 1 (HDAC1) in the development of tumors and its strong association with tumor prognosis; these studies have mainly focused on one single cancer such as in lung cancer, breast cancer, and hepatocellular carcinoma (HCC). To date, there has been no comprehensive analysis and pan-analysis conducted from the overall perspective of cancer across all types. Hence, we analyzed public databases, conducted tube formation assay, and immunohistochemistry (IHC) staining of HDAC1 on six kinds of clinical samples to explore the prognostic and oncogenic effects of HDAC1 on 33 tumors for the first time. There currently remains a lack of efficient testing methods, therapies, and diagnostic and prognostic markers of tumor formation and development in different tumors. Our initial objective was to investigate the possible cancer-causing functions of HDAC1 in 33 different types of tumors by utilizing The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, and many different online websites, such as Tumor IMmune Estimation Resource 2 (TIMER2), Gene Expression Profiling Interactive Analysis 2 (GEPIA2), Genotype Tissue Expression (GTEx) database, Clinical Proteomic Tumor Analysis Consortium (CPTAC) dataset, and University of ALabama at Brimingham CANcer data analysis portal (UALCAN) tool, and so on. We even used small interfering RNA (siRNA) to knock down HDAC2 in HCC cell lines. IHC of HDAC1 was performed. HDAC1 exhibited high expression in numerous tumors, and strong correlations were observed between the messenger RNA (mRNA) levels of HDAC1 and the prognosis of individuals diagnosed with tumors. Human umbilical vein endothelial cells (HUVECs) tube formation and migration were significantly inhibited by conditioned media from HCC cells treated with siRNA of HDAC1. Several types of cancer have been found to exhibit elevated levels of phosphorylation at S421. Furthermore, as in bladder urothelial carcinoma (BLCA), breast invasive carcinoma (BRCA), and kidney renal papillary cell carcinoma (KIRP), HDAC1 expression was found to be correlated with inflammatory cell infiltration. The levels of HDAC1 are expected to adapt to clinical adjuvant targeted therapy in most types of solid cancer.

The Comparison of Extreme Machine Learning and Hidden Markov Model Algorithm in Predicting The Recurrence Of Differentiated Thyroid Cancer Using SMOTE

Differentiated thyroid cancer is the most common type of thyroid cancer; the types in this category are papillary, follicular, and hurthel cell carcinoma. Up to 20% of DTCs will experience recurrence, although this figure reduces to 5% in low-risk patients. There is still little research on thyroid cancer prediction using a machine learning approach, especially the prediction recurrence of DTCs. This research aims to compare the performance of the Extreme Learning Machine and the Hidden Markov Model using SMOTE in predicting the recurrence of DTCs. The dataset used in this research is differentiated thyroid cancer recurrence from Kaggle. This research methodology comprises preprocessing, data sharing, SMOTE, ELM and HMM modeling algorithms, and evaluation. ELM with SMOTE gets the best results at a ratio of 90:10 with 35 hidden neurons that get an accuracy value of 1.00, precision 1.00, recall 1.00, and AUC 1.00. ELM modeling gets the best results at a ratio of 90:10 with 45 hidden neurons that get an accuracy value of 1.00, precision 1.00, recall 1.00, and AUC 1.00. HMM modeling gets the best value at a ratio of 70:30 with two hidden states and two iterations, which get an accuracy value of 0.8696, precision 0.8696, recall 0.7944, and AUC 0.9575. Last, HMM modeling with SMOTE gets the best results at a ratio of 60:40 with two hidden states and two iterations, with an accuracy value of 0.8696, precision of 0.8832, recall of 0.7848, and AUC of 0.9174. Based on the results of this study, it can be concluded that ELM with SMOTE gets the best performance, followed by ELM without SMOTE, HMM without SMOTE, and finally, HMM with SMOTE. The implication is that ELM with SMOTE can produce high accuracy in predicting the recurrence of DTCs.

Clinicopathologic Analysis of HPV-Related Primary Squamous Cell Carcinoma of the Thyroid.

This study aims to explore the clinical and pathologic characteristics of HPV-related primary thyroid squamous cell carcinoma (PSCCT), a rare tumor classified by WHO-5 as a subtype of anaplastic thyroid carcinoma (ATC). Clinical data, histomorphology, immunohistochemistry, HPV detection, and B-raf gene point mutations of 3 PSCCT cases were analyzed. Subsequent follow-up was conducted post-treatment. All 3 cases involved female patients aged between 60 and 76. Microscopic examination revealed squamous cell carcinoma in cases 1 and 3, whereas case 2 exhibited both squamous cell carcinoma and papillary thyroid carcinoma components. Immunohistochemistry demonstrated CK19, PAX8, and TTF1 expression in the papillary thyroid carcinoma component, and CK5/6, p63, p40, and PAX8 expression in the squamous cell carcinoma component. P16 exhibited diffuse positivity in both squamous cell carcinoma and classic papillary carcinoma. HPV analysis identified low-risk type 6 positivity in cases 1 and 3, while both squamous cell carcinoma and papillary carcinoma areas in case 2 were positive for HPV-33. B-raf gene mutation was exclusive to case 2. Diagnosis of PSCCT necessitates multidisciplinary assessment, incorporating clinical symptoms, imaging, histomorphology, and immunohistochemistry. This study, for the first time, reveals the presence of HPV DNA in both PTC and PSCCT, occurring concurrently but separately. Given the limited scope of 3 case reports, definitive conclusions cannot be drawn, warranting further investigation.

Tumour Marker Expression in Head and Neck Malignancies to Identify Potential Targets for Intraoperative Molecular Near-Infrared Imaging.

Oral and laryngeal squamous cell carcinoma (OSCC and LSCC) and papillary thyroid carcinoma (PTC) are common head and neck cancers (HNCs) typically treated surgically. Challenges in tumour delineation often lead to inadequate resection margins in OSCC and LSCC, and missed multifocality in PTC. Fluorescence imaging (FLI) using near-infrared tumour-targeting tracers may improve intraoperative identification of malignancy, facilitating precise excision. This study evaluates six potential FLI targets in OSCC, LSCC and PTC. Immunohistochemical staining was performed on OSCC (n = 20), LSCC (n = 10) and PTC (n = 10), assessing CEA, c-Met, EpCAM, EGFR, integrin αvβ6 and VEGF-α. Expression was scored (0-12) using the total immunostaining score (TIS) system, and categorized into absent (TIS 0), low (TIS 1-5), moderate (TIS 6-8) or high (TIS 9-12). Integrin αvβ6 showed significant overexpression in OSCC (TIS: 12; p < 0.001) and LSCC (TIS: 8; p = 0.002), with 80% of OSCC and 90% of LSCC exhibiting moderate-high expression. Similarly, EGFR expression was moderate-high in most OSCC (87.5%; TIS: 8) and universally high in LSCC (100%; TIS: 12). In PTC, EGFR and VEGF-α expressions were low-moderate, but significantly higher than in healthy tissue (TIS: 6; p < 0.006). This study highlights integrin αvβ6 and EGFR as viable FLI targets in OSCC and LSCC, especially integrin αvβ6 for tumour margin delineation. In PTC, despite lower expressions, the significant overexpression of VEGF-α, c-MET, and EGFR suggests their potential as FLI targets. Our findings support the development of tumour-targeted FLI tracers to improve surgical precision in HNC.

Identifying CDCA3 as a pivotal biomarker for predicting outcomes and immunotherapy efficacy in pan-renal cell carcinoma.

Renal cell carcinoma (RCC) is a heterogeneous disease. Identifying effective biomarkers is crucial for improving prognostic accuracy and therapy outcomes. This study investigates cell division cycle-associated 3 (CDCA3) as a novel biomarker for prognostic assessment and immunotherapy response in RCC. This study analyzed multi-omics data from The Cancer Genome Atlas (TCGA) for kidney renal clear cell carcinoma (KIRC), kidney renal papillary cell carcinoma (KIRP), and kidney chromophobe (KICH) subtypes to evaluate CDCA3 expression and its clinical implications. Functional enrichment and immune infiltration analyses were performed using bioinformatics tools gene set enrichment analysis (GSEA) and xCell. The prognostic value of CDCA3 was assessed through Cox regression and Kaplan-Meier survival analysis. Immunohistochemistry (IHC) was employed to confirm CDCA3 expression at the protein level in RCC samples. Higher CDCA3 expression correlated with poor survival outcomes and reduced response to programmed cell death protein 1 (PD-1) blockade therapies. Statistical analysis indicated that CDCA3 was an independent prognostic factor for poor survival in RCC. CDCA3 was consistently overexpressed in RCC tissues compared to normal tissues and was associated with adverse clinical features, including high Th2 cell infiltration and suppression of immune pathways. CDCA3 is a promising biomarker for RCC, offering insights into the tumor's prognosis and potential response to immunotherapy. The strong association between CDCA3 expression and poor therapeutic outcomes suggests that CDCA3 could be targeted in future therapeutic strategies.

Exploring prognostic implications of miRNA signatures and telomere maintenance genes in kidney cancer

Kidney cancer, particularly clear cell renal cell carcinoma (KIRC), presents significant challenges in disease-specific survival. This study investigates the prognostic potential of microRNAs (miRNAs) in kidney cancers, including KIRC and kidney papillary cell carcinoma (KIRP), focusing on their interplay with telomere maintenance genes. Utilizing data from The Cancer Genome Atlas, miRNA expression profiles of 166 KIRC and 168 KIRP patients were analyzed. An evolutionary learning-based Kidney Survival Estimator identified robust miRNA signatures predictive of 5-year survival for both cancer types. For KIRC, a 37-miRNA signature showed a correlation coefficient (R) of 0.82 and mean absolute error (MAE) of 0.65 years. Similarly, for KIRP, a 23-miRNA signature exhibited an R of 0.82 and MAE of 0.64 years, demonstrating comparable predictive accuracy. These signatures also displayed diagnostic potential with Receiver Operating Characteristic curve values between 0.70 and 0.94. Bioinformatics analysis revealed targeting of key telomere-associated genes such as TERT, DKC1, CTC1, and RTEL1 by these miRNAs, implicating crucial pathways such as cellular senescence and proteoglycans in cancer. This study highlights the significant link between miRNAs and telomere genes in kidney cancer survival, offering insights for therapeutic targets and improved prognostic markers.

Pan-cancer exploration of PNO1: A prospective prognostic biomarker with ties to immune infiltration

The partner of NOB1 homolog (PNO1) is an RNA-binding protein that participates in ribosome biogenesis and protein modification. The functions of this molecule are largely unknown in cancers, particularly breast cancer. We employed bioinformatics methods to probe the putative oncogenic functions of PNO1 based on expression profiles and clinical data from the cancer genome atlas (TCGA), genotype-tissue expression project (GTEx), human protein atlas (HPA), cancer cell line encyclopedia (CCLE), UALCAN, drug sensitivity in cancer (GDSC) and UCSC XENA databases. Our analyses revealed that PNO1 was overexpressed in 31 malignancies, which excluded kidney chromophobe (KICH) and acute myeloid leukemia (LAML). Prognostic assessments have demonstrated that high PNO1 expression was significantly correlated with poor overall and disease-specific survival in various cancers. The promoter methylation level of PNO1 is significantly decreased in breast invasive carcinoma (BRCA), head and neck squamous cell carcinoma (HNSC), kidney renal papillary cell carcinoma (KIRP), prostate adenocarcinoma (PRAD), thyroid carcinoma (THCA) and uterine corpus endometrial carcinoma (UCEC). Furthermore, inhibition of PNO1 decreased the viability, migration and invasion of breast cancer cells, and these results were confirmed by mouse xenograft models of breast cancer. In addition, we discovered that tumor microenvironment (TME), immune infiltration, and chemotherapy sensitivity were influenced by PNO1 expression. Concordantly, our analyses revealed a significant positive correlation between PNO1 and programmed cell death ligand 1 (PD-L1) expression across breast carcinoma samples. In conclusion, these findings indicate that PNO1 could act as a promising prognostic biomarker and adjunct diagnostic indicator, because it affects tumor growth and invasion. Our study offers valuable new perspectives on the oncogenic role of PNO1 in various types of cancers.

Kidney Tumor Segmentation Based on DWR-SegFormer

Kidney cancer is a malignant tumor with a high mortality rate. The accurate segmentation of tumors from computed tomography (CT) scans can assist physicians in clinical diagnosis. We introduced a new segmentation network called DWR-SegFormer to address the challenge of accurately segmenting kidney tumors in CT images. The method involved binarizing the label maps of clear cell renal cell carcinoma and papillary renal cell carcinoma CT images for identification, and the cancer lesion area was obtained by the label so that the model could accurately identify the area and enhance the feature extraction ability. Secondly, an optimized segmentation model combining a DWR attention mechanism and SegFormer network was constructed. MiT-B0 was used as the encoder of the model to establish long-distance feature dependencies and effectively extract feature information at different resolutions. The decoder with a multi-branch DWR module was implemented to utilize multi-scale feature information effectively and enhance segmentation accuracy. Comparing the experimental results with other existing models shows that the model significantly outperformed the comparison methods in all evaluation metrics on the CT image dataset of clear cell renal cancer. Furthermore, the experimental findings highlight the robustness of the proposed model across other datasets.

Transcriptome- and proteome-wide association studies identify genes associated with renal cell carcinoma

We performed a series of integrative analyses including transcriptome-wide association studies (TWASs) and proteome-wide association studies (PWASs) of renal cell carcinoma (RCC) to nominate and prioritize molecular targets for laboratory investigation. On the basis of a genome-wide association study (GWAS) of 29,020 affected individuals and 835,670 control individuals and prediction models trained in transcriptomic reference models, our TWAS across four kidney transcriptomes (GTEx kidney cortex, kidney tubules, TCGA-KIRC [The Cancer Genome Atlas kidney renal clear-cell carcinoma], and TCGA-KIRP [TCGA kidney renal papillary cell carcinoma]) identified 38 gene associations (false-discovery rate <5%) in at least two of four transcriptomic panels and identified 12 genes that were independent of GWAS susceptibility regions. Analyses combining TWAS associations across 48 tissues from GTEx identified associations that were replicable in tumor transcriptomes for 23 additional genes. Analyses by the two major histologic types (clear-cell RCC and papillary RCC) revealed subtype-specific associations, although at least three gene associations were common to both subtypes. PWAS identified 13 associated proteins, all mapping to GWAS-significant loci. TWAS-identified genes were enriched for active enhancer or promoter regions in RCC tumors and hypoxia-inducible factor binding sites in relevant cell lines. Using gene expression correlation, common cancers (breast and prostate) and RCC risk factors (e.g., hypertension and BMI) display genetic contributions shared with RCC. Our work identifies potential molecular targets for RCC susceptibility for downstream functional investigation.

NMRK2 is an efficient diagnostic indicator for Xp11.2 translocation renal cell carcinoma.

Xp11.2 translocation renal cell carcinomas (tRCC) are a rare and highly malignant type of renal cancer, lacking efficient diagnostic indicators and therapeutic targets. Through the analysis of public databases and our cohort, we identified NMRK2 as a potential diagnostic marker for distinguishing Xp11.2 tRCC from kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP) due to its specific upregulation in Xp11.2 tRCC tissues. Mechanistically, we discovered that TFE3 fusion protein binds to the promoter of the NMRK2 gene, leading to its upregulation. Importantly, we established RNA- and protein-based diagnostic methods for identifying Xp11.2 tRCC based on NMRK2 expression levels, and the diagnostic performance of our methods was comparable to a dual-color break-apart fluorescence in situ hybridization assay. Moreover, we successfully identified fresh Xp11.2 tRCC tissues after surgical excision using our diagnostic methods and established an immortalized Xp11.2 tRCC cell line for further research purposes. Functional studies revealed that NMRK2 promotes the progression of Xp11.2 tRCC by upregulating the NAD+/NADH ratio, and supplementation with β-nicotinamide mononucleotide (NMN) or nicotinamide riboside chloride (NR), effectively rescued the phenotypes induced by the knockdown of NMRK2 in Xp11.2 tRCC. Taken together, these data introduce a new diagnostic indicator capable of accurately distinguishing Xp11.2 tRCC and highlight the possibility of developing novel targeted therapeutics. © 2024 The Pathological Society of Great Britain and Ireland.

Demographic and Prognostic Factors of the Columnar Cell Variant of Papillary Thyroid Carcinoma: A National Cancer Database Study.

Objective The columnar cell variant of papillary thyroid carcinoma (PTC-CC) is a rare, malignant tumor of the thyroid gland. This study uses the National Cancer Database (NCDB) to analyze demographic and prognostic factors affecting the overall survival rates of PTC-CC. Methods From 2004 to 2020, 7,079 patients diagnosed with columnar cell papillary thyroid carcinoma were identified in the NCDB. Patient demographics were reviewed based on categories listed in the NCDB participant user file data dictionary. Kaplan-Meier curves, log-rank tests, and multivariable Cox hazard regression models were used to analyze the significance of demographic and prognostic factors on overall survival rates of PTC-CC. Results Multivariate analysis demonstrated each five-year increment in age was associated with a 30% increase in mortality (hazard ratio (HR) = 1.30, 95% confidence interval (CI): 1.25-1.36, P < 0.001). Charlson-Deyo scores displayed similar incremental increases, such that patients with a score ≥ 3 had a 154% increase in mortality risk relative to a score of 0 (HR = 2.54; 95% CI: 1.75-3.68, P < 0.001). Black individuals had a 70% increase in mortality compared to White individuals (HR = 1.70, 95% CI: 1.25-2.30, P < 0.001), while all Other races had the highest 10-year survival rate of 92.7%. Females had a significant 37% decrease in mortality compared to males (HR = 0.63, 95% CI: 0.54-0.73, P < 0.001). Patients in the lowest income quartiles were found to have a significant increase in mortality compared to the highest income group (HR = 0.54; 95% CI: 0.41-0.71, P < 0.001). Survival rates were negatively correlated with NCDB Analytic Staging increases. Conclusion In general, age, sex, race, education, income, comorbidities, and cancer staging were found to be predictive factors of overall survival rates of PTC-CC. However, insurance status and education levels did not result in significant differences.

Integrated Analysis of Clinical Outcome of Mesenchymal Stem Cell-related Genes in Pan-cancer.

Although the application of mesenchymal stem cells (MSCs) in engineered medicine, such as tissue regeneration, is well known, new evidence is emerging that shows that MSCs can also promote cancer progression, metastasis, and drug resistance. However, no large-scale cohort analysis of MSCs has been conducted to reveal their impact on the prognosis of cancer patients. We propose the MSC score as a novel surrogate for poor prognosis in pan-cancer. We used single sample gene set enrichment analysis to quantify MSC-related genes into a signature score and identify the signature score as a potential independent prognostic marker for cancer using multivariate Cox regression analysis. TIDE algorithm and neural network were utilized to assess the predictive accuracy of MSC-related genes for immunotherapy. MSC-related gene expression significantly differed between normal and tumor samples across the 33 cancer types. Cox regression analysis suggested the MSC score as an independent prognostic marker for kidney renal papillary cell carcinoma, mesothelioma, glioma, and stomach adenocarcinoma. The abundance of fibroblasts was also more representative of the MSC score than the stromal score. Our findings supported the combined use of the TIDE algorithm and neural network to predict the accuracy of MSC-related genes for immunotherapy. We comprehensively characterized the transcriptome, genome, and epigenetics of MSCs in pan-cancer and revealed the crosstalk of MSCs in the tumor microenvironment, especially with cancer-related fibroblasts. It is suggested that this may be one of the key sources of resistance to cancer immunotherapy.

Exploring the Incidence of Malignancy in Thyroid Swelling: A Cross-Sectional Perspective

Introduction: Thyroid malignancy is a global health problem. It is the most common among all endocrine malignancies. The incidence of thyroid cancer is increasing all over the world. Bangladesh is not exempted. The worldwide prevalence of goiter in the general population is estimated at 4-7%. The incidence of malignancy in goitrous thyroid is about 10%. An increased incidence of thyroid carcinoma has been noted in endemic goiter zones. Bangladesh also has some goitrous zones. The frequency of carcinoma is two times higher in solitary thyroid nodules than in multinodular goiter. Male patients with thyroid swelling showed a high incidence of malignancy. Objective: The study aims to find out the incidence of malignancy in thyroid swelling in a tertiary level hospital of Bangladesh. Materials and Methods: It is a cross-sectional observational study done in the department of ENT &amp; HNS, Cumilla Medical College Hospital from January 2023 to December 2023 with 60 hospitalized patients of different thyroid swelling undergone surgery. Results: In this series of 60 patients of thyroid swelling the age of the patients ranged from 15 to 80, the mean age was 37.73. There were 53 females (88.33%) and 07 males (11.66%) with female to male ratio of 7.6:1. Among the non-neoplastic group (n=33;55%) nodular goitre had the highest incidence (n=20;33.33%) followed by multinodular goitre (n=11;18.33%). The incidence of papillary cell carcinoma was predominant. Among 60 patients with thyroid swelling, it was 28.33% (n=17) and among the malignant lesions (n=22) it was 77.27%. (n=17). The incidence of malignancy (n=22;36.66%)) is more than that of benign (n=5;8.33%). A high incidence of malignancy is observed in male sex. 05 male patients out of 07 were malignant bearing an incidence of 71.42%. In relation to the age of the malignant patients, the incidence is high in 31–40-year group (27.27%). The incidence of malignancy is high in extreme ages also noted. Conclusion: The incidence of thyroid malignancy in thyroid swelling is high. Females of middle age are in a risk group and papillary carcinoma is the commonest of all thyroid malignancies. Appropriate medical attention is warranted for early diagnosis and proper management to reduce morbidity and mortality. Medicine Today 2024, Vol.36 (2): 99-103