Valuable Prognostic Biomarker Research Articles

Evaluation of serum fibronectin levels and fibronectin gene polymorphism in patients receiving intravesical BCG therapy for non-muscle invasive bladder cancer and its prognostic value

BackgroundBladder cancer continues to be a significant health issue, leading to ongoing research into novel biomarkers and treatment strategies. This study aims to evaluate the potential of serum fibronectin levels and fibronectin gene polymorphisms as biomarkers for predicting the recurrence and treatment response in patients with NMIBC undergoing intravesical BCG therapy.MethodsBetween June 2022 and December 2022, data of 73 patients who applied to the Mersin University Urology Clinic due to NMIBC and were followed and treated in our clinic, receiving intravesical BCG treatment, when necessary, as well as 56 individuals without any malignancy, were prospectively examined. Serum fibronectin levels were measured using the enzyme-linked immunosorbent assay method. PCR testing was applied for the fibronectin gene RS10202709 and RS 35,343,655 gene polymorphisms by using Real-Time PCR.ResultsThe mean serum fibronectin level in the patient group was 76.794 ± 66.998ng/ml. Simultaneously, it was 50.486 ± 25.156ng/ml in the control group, and these differences in serum fibronectin levels were statistically significant(p = 0.003). Out of the 73 patients included in the study, recurrence of bladder cancer was observed in 53 of them. They were divided into two groups based on the recurrence times: early recurrence and late recurrence. The mean fibronectin level in the early recurrence group was 102 ± 86.1 ng/ml, while it was 44.7 ± 11.8 ng/ml in the late recurrence group. Emphasize the significance of the higher fibronectin levels in the early recurrence group by stating, patients with early recurrence exhibited significantly higher serum fibronectin levels compared to those with late recurrence (p < 0.001), suggesting a potential role for fibronectin as a prognostic biomarker.ConclusionsThe statistically higher concentrations of serum fibronectin levels in patients with bladder cancer observed in our study are a noteworthy finding. These findings suggest that serum fibronectin levels could serve as a valuable prognostic biomarker for early recurrence in NMIBC patients, although their predictive value for BCG treatment response remains limited.

Expression profiling of circulating lncRNA GIAT4RA, lncRNA AATBC, lncRNA Sirt1-AS, and SMARCB1 in lung cancer patients

Long noncoding RNAs (lncRNAs) are crucial regulators of biological processes such as transcription interference and activation, chromatin remodeling, and mRNA translation. Uncontrolled gene expression could result from various epigenetic modifiers, like lncRNAs. So, this study aimed to evaluate the expression profiles of lncRNA GIAT4RA, lncRNA AATBC, lncRNA Sirt1-AS, and SMARCB1 in lung cancer. The current study included lung cancer patients (n = 50), patients with chronic inflammatory diseases (n = 30), and healthy volunteers (n = 20). The expression of blood genes and the concentration of serum neuron-specific enolase were determined by real-time PCR and electrochemiluminescence immunoassay, respectively. The receiver operating characteristic and Kaplan-Meier analyses assess the sensitivity of genes as diagnostic and prognostic biomarkers, respectively. LncRNA GIAT4RA and lncRNA AATBC were upregulated, while lncRNA Sirt1-AS was significantly downregulated in all patients compared to the control group. SMARCB1 expression was significantly downregulated in chronic inflammatory patients, while in those with lung cancer, it showed an insignificant difference. The expression of lncRNA GIAT4RA and lncRNA AATBC was significantly related to the stage of lung cancer. The survival analyses showed that lower lncRNA Sirt1-AS was linked to lung cancer patients’ poorer disease-free survival and overall survival. Differences in lncRNA GIAT4RA, lncRNA AATBC, and lncRNA Sirt1-AS expression were detected in all patients. The consequent abnormal expression of lncRNAs could be crucial in lung cancer development. LncRNA GIAT4RA, lncRNA AATBC, and lncRNA Sirt1-AS may be utilized as promising diagnostic biomarkers. LncRNA AATBC, lncRNA Sirt1-AS, and SMARCB1 may be valuable prognostic biomarkers for lung cancer.

Inferring Characteristics of the Tumor Immune Microenvironment of Patients with HNSCC from Single-Cell Transcriptomics of Peripheral Blood.

Our work offers a new and promising paradigm in liquid biopsies to unlock the power of blood single-cell transcriptomics in cancer immunotherapy.

Clinicopathological and prognostic value of tertiary lymphoid structures in lung cancer: a meta-analysis.

The purpose of this meta-analysis was to examine the clinicopathological and prognostic significance of tertiary lymphocytic infiltrates in lung cancer. A systematic search was performed in many databases, including PubMed, Web of Science, Cochrane Library, Embase, CNKI, Wangfangdate, and CBM, up until January 2024. We calculated the hazard ratio (HR), odds ratios (OR), and confidence interval (CI), and accomplished this meta-analysis with Stata 15 software. 14 studies, including 3101 patients, were subjected to analysis. High TLS detection was associated with a longer OS (HR = 0.545, 95% CI: 0.359-0.827, p = 0.004), DFS (HR = 0.431, 95% CI: 0.350-0.531, p < 0.001), and RFS (HR = 0.430, 95% CI: 0.325-0.569, p < 0.001). Meanwhile, it was observed that a higher detection of TLS was significantly correlated with the administration of adjuvant chemotherapy (OR = 1.505, 95% CI: 1.017-2.225, p = 0.041). Not only that, but there was a higher occurrence of significantly elevated TLS detection in the early N stages (N = 0) compared to the advanced N stages (N = 1, 2, and 3) (OR = 1.604, 95% CI: 1.021-2.521, p = 0.04). Elevated detection of TLS has been observed to be correlated with extended OS, DFS, and RFS in cases of lung cancer. This finding suggests that TLS could potentially serve as a valuable prognostic biomarker for lung cancer.

The expression and clinical significance of ARHGAP25 in osteosarcoma based on bioinformatics analysis

ARHGAP25, a member of the ARHGAP family, encodes a negative regulator of Rho-GTPase that is important for actin remodeling, cell polarity, and cell migration. ARHGAP25 is down-regulated in a variety of solid tumors and promotes cancer cell growth, migration, and invasion. However, nothing is understood about ARHGAP25’s biological function in osteosarcoma. This work used qPCR and WB to confirm the expression of ARHGAP25 in osteosarcoma following the initial analysis of its expression in pan-cancer. For GO and KEGG analysis, we have chosen 300 genes from the TARGET osteosarcoma data that had the strongest positive correlation with ARHGAP25, and we created nomogram and calibration charts. We simultaneously overexpressed ARHGAP25 in osteosarcoma cells to examine its impact on apoptosis and proliferation. By using MSP, we determined their methylation status in osteosarcoma cells and normal bone cells. We observed that ARHGAP25 was significantly downregulated in a range of malignancies, including osteosarcoma, and was associated with poor patient outcomes. The decrease of ARHGAP25 expression in osteosarcoma is related to DNA methylation. Overexpression of ARHGAP25 induced apoptosis and inhibited the proliferation of osteosarcoma cells in vitro. In addition, ARHGAP25 is also associated with immune-related pathways in osteosarcoma. These findings suggest that ARHGAP25 is a valuable prognostic biomarker in osteosarcoma patients.

Comprehensive pan-cancer analysis of ZNF337 as a potential diagnostic, immunological, and prognostic biomarker

BackgroundZinc Finger Protein 337 (ZNF337) is a novel Zinc Finger (ZNF) protein family member. However, the roles of ZNF337 in human cancers have not yet been investigated.MethodsIn this study, with the aid of TCGA databases, GTEx databases, and online websites, we determined the expression levels of ZNF337 in pan-cancer and its potential value as a diagnostic and prognostic marker for pan-cancer and analyzed the relationship between ZNF337 expression and immune cell infiltration and immune checkpoint genes. We then focused our research on the potential of ZNF337 as a biomarker for diagnostic and prognostic in KIRC (kidney renal clear cell carcinoma) and validated in the E-MTAB-1980 database. Moreover, the expression of ZNF337 was detected through qRT-PCR and Western blotting (WB). CCK-8 experiment, colony formation experiment, and EDU experiment were performed to evaluate cell proliferation ability. Wound healing assay and transwell assay were used to analyze its migration ability. The qRT-PCR and WB were used to detect the expression of ZNF337 in tumor tissues and paracancerous tissues of KIRC patients.ResultsThe pan-cancer analysis revealed that abnormal ZNF337 expression was found in multiple human cancer types. ZNF337 had a high diagnostic value in pan-cancer and a significant association with the prognosis of certain cancers, indicating that ZNF337 may be a valuable prognostic biomarker for multiple cancers. Further analysis demonstrated that the expression level of ZNF337 displayed significant correlations with cancer-associated fibroblasts, immune cell infiltration, and immune checkpoint genes in many tumors. Additionally, ZNF337 was observed to have a high expression in KIRC. Its expression was significantly associated with poor prognosis [overall survival (OS), disease-specific survival (DSS)], age, TNM stage, histologic grade, and pathologic stage. The high ZNF337 expression was associated with poor prognosis in the E-MTAB-1980 validation cohort. The in vitro experiments suggested that the expression of ZNF337 in KIRC tumor tissues was higher than in adjacent tissues, and ZNF337 knockdown inhibited the proliferation and migration of KIRC cells, whereas overexpression of ZNF337 had the opposite effects.ConclusionsZNF337 might be an important prognostic and immunotherapeutic biomarker for pan-cancer, especially in KIRC.

FASTKD1 as a diagnostic and prognostic biomarker for STAD: Insights into m6A modification and immune infiltration.

Fas-activated serine/threonine kinase domain 1 (FASTKD1), a known modulator of mitochondrial-mediated cell death and survival processes, has garnered attention for its potential role in various biological contexts. However, its involvement in gastric cancer remains unclear. Thus, the present study aimed to investigate the relationship between FASTKD1 expression and key factors, including clinicopathological characteristics, immune infiltration and m6A modification in stomach adenocarcinoma (STAD). The expression of FASTKD1 was analyzed in STAD and normal adjacent tissues to assess its association with clinicopathological characteristics and survival prognosis. Data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used in this study. Additionally, the findings were validated through immunohistochemical staining. Co-expression analysis of FASTKD1 was performed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (GO/KEGG) enrichment analysis, Gene Set Enrichment Analysis (GSEA) and LinkedOmics database analysis. An in-depth analysis was conducted using databases, such as Tumor Immune Estimation Resource (TIMER), Gene Expression Profiling Interactive Analysis (GEPIA), GEO and TCGA to explore the potential correlation between FASTKD1 expression and immune infiltration and m6A modification in STAD. The results revealed that FASTKD1 was significantly upregulated across different tumor types, including STAD. Notably, FASTKD1 was able to distinguish between tumor and normal tissue samples with accuracy. Furthermore, the expression levels of FASTKD1 were significantly associated with clinical stage and survival. Through GO/KEGG enrichment analysis and GSEA, it was revealed that the genes co-expressed with FASTKD1 were active in a variety of biological processes. Within the TIMER, GEPIA and TCGA databases, a notable inverse correlation was observed between FASTKD1 expression and the abundance of immune cell subsets. Notably, significant correlations were established between FASTKD1 and m6A modification genes, YTHDF1 and LRPPRC, in both TCGA and GEO datasets. In conclusion, FASTKD1 may serve a significant role in m6A modification and immune infiltration processes, making it a potentially valuable diagnostic and prognostic biomarker in STAD.

MiR-29a expression negatively correlates with Bcl-2 levels in colorectal cancer and is correlated with better prognosis

MicroRNAs (miRNAs) are a class of small non-coding RNAs that act as important regulators of gene expression, involved in various biological pathways. Aberrant miRNAs expression is associated with the onset and progression of colorectal cancer (CRC). The aim of this study was to investigate the correlation between five miRNAs (miR-29a, miR-101, miR-125b, miR-146a, and miR-155), found to be deregulated in tissue samples of CRC patients, and clinicopathological characteristics and histological markers. Analysis of histological markers was performed by immunohistochemical staining of tumour tissues with Ki-67, p53, CD34, and Bcl-2. Our findings revealed a significant negative correlation between miR-29a expression and Bcl-2 levels. Furthermore, high miR-29a expression was associated with a lower incidence of distant metastasis in CRC patients. We observed negative correlations between miR-101 expression and the number of lymph nodes with metastasis, as well as the size of the largest metastasis; miR-125b expression and lymphovascular invasion; and miR-155 expression and mucus presence. Our survival analysis demonstrated that high miR-29a expression correlated with better progression-free survival of CRC patients, underscoring its potential as a prognostic marker. Our study unveiled intricate relationships between specific miRNA expressions and clinicopathological features in CRC, highlighting the potential utility of miR-29a as a valuable prognostic biomarker.

CDK12 is a promising therapeutic target for the transcription cycle and DNA damage response in metastatic osteosarcoma.

Osteosarcoma (OS) is a bone malignant tumor affecting children, adolescents and young adults. Currently, osteosarcoma is treated with chemotherapy regimens established over 40 years ago. The investigation of novel therapeutic strategies for the treatment of osteosarcoma remains an important clinical need. Cyclin-dependent kinases (CDKs) have been considered promising molecular targets in cancer therapy. Among these, CDK12 has been shown to play a crucial role in the pathogenesis of malignancies, but its clinical significance and biological mechanisms in osteosarcoma remain unclear. In the present study, we aim to determine the expression and function of CDK12, and evaluate its prognostic and therapeutic value in metastatic osteosarcoma. We found that overexpression of CDK12 was associated with high tumor grade, tumor progression and reduced patient survival. Underlying mechanism revealed that knockdown of CDK12 expression with siRNA or functional inhibition with the CDK12-targeting agent THZ531 effectively exhibited time- and dose-dependent cytotoxicity. Downregulation of CDK12 paused transcription by reducing RNAP II phosphorylation, interfered with DNA damage repair with increased γH2AX, and decreased cell proliferation through the PI3K-AKT pathway. This was accompanied by the promotion of apoptosis, as evidenced by enhanced Bax expression and reduced Bcl-xL expression. Furthermore, the CDK12 selective inhibitor THZ531 also hindered ex vivo 3D spheroid formation, growth of in vitro 2D cell colony, and prevented cell mobility. Our findings highlight the clinical importance of CDK12 as a potentially valuable prognostic biomarker and therapeutic target in metastatic osteosarcoma.

Investigation of SPOCD1 as A Suitable Diagnostic and Prognostic Biomarker in Various Common Cancer Types: Bioinformatics and Practical Analysis.

The objective of this study was to assess whether Spen paralogue and orthologue C-terminal domain containing 1 (SPOCD1) gene expression could serve as a valuable prognostic and diagnostic biomarker in common cancers, drawing from insights in recent literature. We sought to verify this concept by utilizing data sourced from The Cancer Genome Atlas (TCGA) alongside clinical samples. In this bioinformatics and experimental study, SPOCD1 RNA-seq data from 12 common cancers were collected from TCGA Pan-Cancer Atlas using the R package "TCGA BIOLINKS" and normalized for analysis. Various analytical tools, including receiver operating characteristic (ROC) curves, Kaplan-Meier and Coxregression analyses, and pathway enrichment analysis via the molecular signatures database (MSigDB), were applied. Drug resistance/sensitivity correlations with SPOCD1 expression were explored using the Gene Expression Omnibus (GEO) database. Clinical colorectal cancer (CRC) samples, including both colon and rectal malignant samples, were also evaluated. The results showed elevated SPOCD1 expression in most cancers (9/12), with notable prognostic value in COAD, HNSC, KICH, and LIHC, and a correlation with poor prognosis in COAD for disease-free survival. ROC curve analysis suggested SPOCD1 as a diagnostic biomarker in the majority of cases (7/12), although this pattern was inconsistent in clinical CRC samples. Pathway enrichment analysis revealed a strong correlation between SPOCD1 expression and critical molecular pathways. Unlike former results, we found that SPOCD1 upregulated when interacting with PD-0325901. However, treating with Panobinostat led to downregulation. Both are as anticancer reagents. This study confirms the potential of SPOCD1 as a diagnostic and prognostic biomarker in prevalent cancers. However, extensive clinical data, particularly for CRC, are required to validate its reliability. Different COAD subtypes may exhibit varying correlations with SPOCD1 expression levels, underscoring the need for further investigation to fully understand its diagnostic and prognostic value.

NOTCH3 as a prognostic biomarker and its correlation with immune infiltration in gastrointestinal cancers

NOTCH receptor 3 (NOTCH3) is known to regulate the transcription of oncogenes or tumor suppressor genes, thereby playing a crucial role in tumor development, invasion, maintenance, and chemotherapy resistance. However, the specific mechanism of how NOTCH3 drives immune infiltration in gastrointestinal cancer remains uncertain. The expression of NOTCH3 was analyzed through Western blot, PCR, Oncomine database, and the Tumor Immune Estimation Resource (TIMER) site. Kaplan–Meier plotter, PrognoScan database, and gene expression profile interactive analysis (GEPIA) were used to assess the impact of NOTCH3 on clinical prognosis. The correlation between NOTCH3 expression and immune infiltration gene markers was investigated using TIMER and GEPIA. NOTCH3 was found to be commonly overexpressed in various types of gastrointestinal tumors and was significantly associated with poor prognosis. Furthermore, the expression level of NOTCH3 showed a significant correlation with the tumor purity of gastrointestinal tumors and the extent of immune infiltration by different immune cells. Our findings suggest that NOTCH3 may act as a crucial regulator of tumor immune cell infiltration and can serve as a valuable prognostic biomarker in gastrointestinal cancers.

Prognostic importance of modified geriatric nutritional risk index in oral cavity squamous cell carcinoma

We probed the associations of preoperative modified geriatric nutritional risk index (mGNRI) values with prognosis in patients receiving surgery for oral cavity squamous cell carcinoma (OCSCC). This retrospective study analyzed the clinical data of 333 patients with OCSCC and undergoing surgery between 2008 and 2017. The preoperative mGNRI was calculated using the following formula: (14.89/C-reactive protein level) + 41.7 × (actual body weight/ideal body weight). We executed receiver operating characteristic curve analyses to derive the optimal mGNRI cutoff and employed Kaplan–Meier survival curves and Cox proportional hazard model to probe the associations of the mGNRI with overall survival (OS) and disease-free survival (DFS). The optimal mGNRI cutoff was derived to be 73.3. We noted the 5-year OS and DFS rates to be significantly higher in the high-mGNRI group than in the low-mGNRI group (both p < 0.001). A preoperative mGNRI below 73.3 was independently associated with unfavorable DFS and OS. A mGNRI-based nomogram was constructed to provide accurate OS predictions (concordance index, 0.781). Hence, preoperative mGNRI is a valuable and cost-effective prognostic biomarker in patients with OCSCC. Our nomogram facilitates the practical use of mGNRI and offers individualized predictions of OS.

Longitudinal multicompartment characterization of host-microbiota interactions in patients with acute respiratory failure

Critical illness can significantly alter the composition and function of the human microbiome, but few studies have examined these changes over time. Here, we conduct a comprehensive analysis of the oral, lung, and gut microbiota in 479 mechanically ventilated patients (223 females, 256 males) with acute respiratory failure. We use advanced DNA sequencing technologies, including Illumina amplicon sequencing (utilizing 16S and ITS rRNA genes for bacteria and fungi, respectively, in all sample types) and Nanopore metagenomics for lung microbiota. Our results reveal a progressive dysbiosis in all three body compartments, characterized by a reduction in microbial diversity, a decrease in beneficial anaerobes, and an increase in pathogens. We find that clinical factors, such as chronic obstructive pulmonary disease, immunosuppression, and antibiotic exposure, are associated with specific patterns of dysbiosis. Interestingly, unsupervised clustering of lung microbiota diversity and composition by 16S independently predicted survival and performed better than traditional clinical and host-response predictors. These observations are validated in two separate cohorts of COVID-19 patients, highlighting the potential of lung microbiota as valuable prognostic biomarkers in critical care. Understanding these microbiome changes during critical illness points to new opportunities for microbiota-targeted precision medicine interventions.

Identification of PSMD11 as a novel cuproptosis- and immune-related prognostic biomarker promoting lung adenocarcinoma progression.

Due to the unfavorable prognosis associated with lung adenocarcinoma (LUAD), the development of targeted therapies and immunotherapies is essential. Cuproptosis, an emerging form of regulated cell death, is implicated in mitochondrial metabolism and is induced by copper ions. This study aimed to explore the prognostic value of cuproptosis- and immune-related genes (CIRGs) in LUAD. We used The Cancer Genome Atlas database to develop a prognostic prediction model for LUAD patients based on eight CIRGs. Using Cox regression analysis, we determined that the CIRG signature is a reliable, independent prognostic factor. We further identified PSMD11 as a critical CIRG and performed immunohistochemistry to study the protein expression levels of PSMD11 in LUAD tissues. We also investigated the impact of PSMD11 on the biological behavior of lung cancer cell lines. We found that patients with low PSMD11 expression levels displayed an improved prognosis compared with those with high PSMD11 expression levels. Overexpression of PSMD11 enhanced proliferation, migration, invasion, and tumor growth of lung carcinoma cell line A549, while PSMD11 knockdown diminished proliferation, migration, invasion, and tumor growth of lung carcinoma cell line PC9. Additionally, we discovered that PSMD11 expression was positively correlated with the infiltration of myeloid-derived suppressor cells and the increased expression of immunosuppressive molecules. These findings suggest that PSMD11 may serve as a valuable prognostic biomarker and therapeutic target for LUAD.

LAYN Serves as a Prognostic Biomarker and Downregulates Tumor-Infiltrating CD8+ T Cell Function in Hepatocellular Carcinoma.

Layilin (LAYN) represents a valuable prognostic biomarker across various tumor types, while also serving as an innovative indicator of dysfunctional or exhausted CD8+ T cells and exhibiting correlation with immune context. However, the immune function and prognostic significance of LAYN in hepatocellular carcinoma (HCC) remain unexplored. Therefore, our objective is to investigate the role of LAYN in CD8+ T cell exhaustion, clinical prognosis, and the tumor microenvironment within HCC. TIMER or GEPIA databases were used to analyze LAYN expression level and its correlation with immune infiltration in HCC. Bioinformatics analysis was conducted on TCGA and scRNA-seq cohorts. The evaluation of LAYN expression level in fresh specimens was performed through IF, IHC, and ELISA assays. Flow cytometry and mRNA-seq were employed to investigate co-expressed genes of LAYN, the LAYN+CD8+ T cell exhaustion signature and immune function. Cell proliferation ability and killing activity were assessed using CCK8 and CFSE/PI. The expression level of LAYN in HCC tumors was significantly higher compared to peri-tumors. Patients with high levels of LAYN exhibited poorer OS. GO or KEGG analysis confirmed that LAYN was involved in immune response and was positively associated with CD8+ T cell immune infiltration levels. Furthermore, LAYN negatively regulated the immune function of CD8+ T cells, leading to dysfunctional phenotypes characterized by elevated levels of CD39, TIM3 and reduced levels of perforin, TNF-α, Ki-67. CFSE/PI assays demonstrated that LAYN+CD8+ T cells displayed decreased cytotoxic activity. Additionally, there was a positive correlation between LAYN and CD146 levels, which are involved in adhesion and localization processes of CD8+ T cells. Interestingly, blocking LAYN partially restored the exhaustion properties of CD8+ T cells. LAYN exhibits a strong correlation with immune infiltration in the TME and represents a novel biomarker for predicting clinical prognosis in HCC. Moreover, targeting LAYN may hold promise as an effective strategy for HCC immunotherapy.

Identification of PATL1 as a prognostic and immunotherapeutic predictive factor for nasal-type natural killer/T-cell lymphoma and head and neck squamous cell carcinoma

This research examines the function of protein associated with topoisomerase II homolog 1 (PATL1) in nasal-type natural killer/T-cell lymphoma (NKTCL) and head and neck squamous cell carcinoma (HNSCC). We analyzed bulk RNA-seq data from NKTCL, nasal polyps, and normal nasal mucosa, identifying 439 differentially expressed genes. Machine learning algorithms highlighted PATL1 as a hub gene. PATL1 exhibited significant upregulation in NKTCL and HNSCC tumor samples in comparison to normal tissues, showing high diagnostic accuracy (AUC = 1.000) for NKTCL. Further analysis of local hospital data identified PATL1 as an independent prognostic risk factor for NKTCL. Data analysis of TCGA and GEO datasets revealed that high PATL1 expression correlated with poorer prognosis in HNSCC patients (p < 0.05). We also constructed a PATL1-based nomogram, which emerged as an independent prognostic predictor for HNSCC after addressing missing values. Additionally, we found a strong correlation between PATL1 and various immune cell infiltrates (e.g., activated.CD4 T cell), and a significant association with the expression of 37 immune checkpoints genes (e.g., CTLA4, PDCD1) and 20 N6-methyladenosine-related genes (e.g., ZC3H13, METTL3) (all p < 0.05). Both TCIA and TIDE algorithms suggested that PATL1 could potentially predict immunotherapy efficacy (p < 0.05). Cellular experiments demonstrated that transfection with a silencing plasmid of PATL1 significantly inhibited the malignant behaviors of SNK6 and FaDu cell lines(p < 0.05). In conclusion, our findings suggest that PATL1 may serve as a valuable prognostic and predictive biomarker in NKTCL and HNSCC, highlighting its significant role in these cancers.

XCR1: A promising prognostic marker that pinpoints targeted and immune-based therapy in hepatocellular carcinoma

ObjectivesThe lymphotactin receptor X–C motif chemokine receptor 1 (XCR1) is an essential member of the chemokine receptor family and is related to tumor development and progression. Nevertheless, further investigation is required to explore its expression patterns, prognostic values, and functions related to target or immune therapies in patients with hepatocellular carcinoma (HCC). Materials and methodsThe differential expression patterns of XCR1 and its prognostic influences were performed through The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Subsequently, immunohistochemistry (IHC) staining and univariate and multivariate Cox regressions were performed to validate the prognostic values in different subgroups. Furthermore, the potential roles of XCR1 in predicting target and immune therapeutic responses were also investigated. ResultsIncreased expression level of XCR1 was associated with favorable overall survival (OS) and recurrence-free survival (RFS). Subgroup analysis revealed that a high expression level of XCR1 or positive immune cell proportion score (iCPS) were associated with favorable OS in the HCC patients with favorable tumor characteristics. In addition, the enhanced XCR1 expression was associated with the tumor environment scores, immune cell infiltration levels, and the expression levels of immune checkpoint genes. Further analysis revealed that improved expression of XCR1 was linked to better OS and RFS in HCC patients who received sorafenib. ConclusionThis study identified that XCR1 is a valuable prognostic biomarker in the HCC population, especially in those with favorable tumor characteristics. The combination of iCPS status and BCLC status has a synergistic effect on stratifying patients' OS and RFS. Further analyses showed that XCR1 has the potential ability to predict treatment responses to sorafenib and immune-based therapies.

GLT8D2 is a prognostic biomarker and regulator of immune cell infiltration in gastric cancer.

Because of the considerable tumor heterogeneity in gastric cancer (GC), only a limited group of patients experiences positive outcomes from immunotherapy. Herein, we aim to develop predictive models related to glycosylation genes to provide a more comprehensive understanding of immunotherapy for GC. RNA sequencing (RNA-seq) data and corresponding clinical outcomes were obtained from GEO and TCGA databases, and glycosylation-related genes were obtained from GlycoGene DataBase. We identified 48 differentially expressed glycosylation-related genes and established a prognostic model (seven prognosis genes including GLT8D2, GALNT6, ST3GAL6, GALNT15, GBGT1, FUT2, GXYLT2) based on these glycosylation-related genes using the results from Cox regression analysis. We found that these glycosylation-related genes revealed a robust correlation with the abundance of Tumor Infiltrating Lymphocytes (TILs), especially the GLT8D2 which is associated with many TILs. Finally, we employed immunohistochemistry and Multiplex Immunohistochemical to discover that GLT8D2 serves as a valuable prognostic biomarker in GC and is closely associated with macrophage-related markers. Collectively, we established a prognostic model based on glycosylation-related genes to provide a more comprehensive understanding of prediction for GC prognosis, and identified that GLT8D2 is closely correlated with adverse prognosis and may underscore its role in regulating immune cell infiltration in GC patients.

Predictive value of FCGBP expression for treatment response and survival in rectal cancer patients undergoing chemoradiotherapy.

Despite neoadjuvant chemoradiotherapy (CRT) being the established standard for treating advanced rectal cancer, clinical outcomes remain suboptimal, necessitating the identification of predictive biomarkers for improved treatment decisions. Previous studies have hinted at the oncogenic properties of the Fc fragment of IgG binding protein (FCGBP) in various cancers; however, its clinical significance in rectal cancer remains unclear. In this study, we first conducted an analysis of a public transcriptome comprising 46 rectal cancer patients. Focusing on cell adhesion during data mining, we identified FCGBP as the most upregulated gene associated with CRT resistance. Subsequently, we assessed FCGBP immunointensity using immunohistochemical staining on 343 rectal cancer tissue blocks. Elevated FCGBP immunointensity correlated with lymph node involvement before treatment (p = 0.001), tumor invasion, and lymph node involvement after treatment (both p < 0.001), vascular invasion (p = 0.001), perineural invasion (p = 0.041), and reduced tumor regression (p < 0.001). Univariate analysis revealed a significant association between high FCGBP immunoexpression and inferior disease-specific survival, local recurrence-free survival, and metastasis-free survival (all p ≤ 0.0002). Furthermore, high FCGBP immunoexpression independently emerged as an unfavorable prognostic factor for all three survival outcomes in the multivariate analysis (all p ≤ 0.025). Enriched pathway analysis substantiated the role of FCGBP in conferring resistance to radiation. In summary, our findings suggest that elevated FCGBP immunoexpression in rectal cancer significantly correlates with a poor response to CRT and diminished patient survival. FCGBP holds promise as a valuable prognostic biomarker for rectal cancer patients undergoing CRT.

Cuproptosis-related gene LIPT1 as a prognostic indicator in non-small cell lung cancer: Functional involvement and regulation of ATOX1 expression.

Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related deaths, necessitating a deeper understanding of novel cell death pathways like cuproptosis. This study explored the relevance of cuproptosis-related genes in NSCLC and their potential prognostic significance. We analyzed the expression of 16 cuproptosis-related genes in 1017 NSCLC tumors and 578 Genotype-Tissue Expression (GTEx) normal samples from The Cancer Genome Atlas (TCGA) to identify significant genes. A risk model and prognostic nomogram were employed to identify the pivotal prognostic gene. Further in vitro experiments were conducted to investigate the functions of the identified genes in NSCLC cell lines. LIPT1, a gene for lipoate-protein ligase 1 enzyme, emerged as the central prognostic gene with decreased expression in NSCLC. Importantly, elevated LIPT1 levels were associated with a favorable prognosis for NSCLC patients. Overexpression of LIPT1 inhibited cell growth and enhanced apoptosis in NSCLC. We confirmed that LIPT1 downregulates the copper chaperone gene antioxidant 1 (ATOX1), thereby impeding NSCLC progression. Our study identified LIPT1 as a valuable prognostic biomarker in NSCLC as it elucidates its tumor-inhibitory role through the modulation of ATOX1. These findings offered insights into the potential therapeutic targeting of LIPT1 in NSCLC, contributing to a deeper understanding of this deadly disease.