Autophagy-related gene PXN as a prognostic marker: Promotion of ovarian cancer progression by suppressing the p110ß/Vps34/Beclin1 pathway.

Among gynecological malignancies, ovarian cancer has the highest mortality rate and has sparked widespread interest in studying the mechanisms underlying ovarian cancer development. Based on TCGA and GEO databases, we investigated the highly expressed autophagy-related genes that determine patient prognosis using limma differential expression and Kaplan-Meier survival analyses. The biological processes associated with these genes were also predicted using GO/KEGG functional enrichment analysis. CCK-8, cell scratch, and transwell assays were used to investigate the effects of PXN on the proliferation, migration, and invasion abilities of ovarian cancer cells. Transmission electron microscopy was used to observe the autophagosomes. The expression of autophagy proteins and the PI3K/Akt/mTOR and p110ß/Vps34/Beclin1 pathway proteins in ovarian cancer cells was detected using western blot; autophagy protein expression was further detected and localized using cellular immunofluorescence. A total of 724 autophagy-related genes were found to be overexpressed in ovarian -cancer tissues, with high expression of PEX3, PXN, and RB1 associated with poor prognosis in patients (p < .05). PXN activates and regulates signaling pathways related to cellular autophagy, ubiquitination, lysosomes, PI3K-Akt, and mTOR. Autophagosomes were observed in all cell groups. The increase in PXN gene expression promoted the proliferation, migration, and invasion of ovarian cancer cells, increased the expression of SQSTM1/p62 protein, decreased LC3II/LC3Ⅰ, inhibited the phosphorylation of Akt and mTOR proteins, and suppressed the expression of PI3K(p110ß) and Beclin1 proteins. The decrease in PXN expression also confirmed these changes. Thus, PXN is highly expressed during ovarian cancer and is associated with poor patient prognosis. It may promote ovarian cancer cell proliferation, migration, and invasion by inhibiting cellular autophagy via suppression of the p110ß/Vps34/Beclin1 pathway.

miR-29b-3p suppresses the malignant biological behaviors of AML cells via inhibiting NF-κB and JAK/STAT signaling pathways by targeting HuR.

BACKGROUND: HuR/ELAVL1 (embryonic lethal abnormal vision 1) was a downstream target of miR-29b in some cancer cells. HuR protein exerts important prognostic effects of involving in the pathogenesis and development of acute myeloid leukemia (AML). This study aims to investigate the role of miR-29b-3p in biological behaviors of AML cells by targeting HuR and the involvement of the NF-κB and JAK/STAT signaling pathways. METHODS: The expressions of HuR and miR-29b-3p in AML cells were determined using RT-qPCR and Western blot, and the association between them was analyzed using the Spearman method. Next, the target relationship between HuR and miR-29b-3p was predicted by biological information databases and verified by the dual-luciferase reporter gene assay. MTS, methyl cellulose, flow cytometry and transwell assay were employed to detect the cell proliferation, clone formation, cell cycle and apoptosis, invasion and migration respectively, the effect of miR-29b-3p targeted HuR on the biological behaviors of AML cells was explored after over- /down-expression of miR-29b-3p and rescue experiment. Then, immunofluorescence assay and western blot were employed to detect location expression and phosphorylation levels of NF-κB and JAK/STAT signaling pathways related molecules respectively. RESULTS: HuR was negatively correlated with miR-29b-3p, and was the downstream target of miR-29b-3p in AML cells. When miR-29b-3p was overexpressed in AML cells, HuR was down-regulated, accompanied by cell viability decreased, cell cycle arrest, apoptosis increased, invasion and migration weakened. Moreover, the opposite result appeared after miR-29b-3p was down-regulated. The rescue experiment showed that miR-29b-3p inhibitor could reverse the biological effect of HuR down-regulation in AML cells. Molecular pathway results showed that miR-29b-3p could inhibit p65 expression in nucleus and phosphorylation levels of p65, IκBα, STAT1, STAT3 and STAT5. CONCLUSION: miR-29b-3p can inhibit malignant biological behaviors of AML cells via the inactivation of the NF-κB and JAK/STAT signaling pathways by targeting HuR. miR-29b-3p and its target HuR can be used as a new potential molecular for AML treatment.

Apelin is associated with clinicopathological parameters and prognosis in breast cancer patients.

PURPOSE: Apelin has been shown to be a novel angiogenic factor in various cancers. However, there is limited information regarding the role of apelin in breast cancer. The aim of the present study is to examine associations between apelin, clinicopathological variables, and clinical outcome in breast cancer patients. METHODS: In this study, we began by investigating the apelin expression in breast cancer with long-term follow-up using immunohistochemistry. We then analyzed the relationship between apelin expression and microvessel density (MVD), lymphatic vessel density (LVD), lymph node status as well as other established clinicopathological parameters. The relationship between apelin expression and prognosis was also studied. In addition, we compared the apelin and its ligant APJ expression between 30 breast cancer samples and normal breast tissues adjacent to the breast tumors using western blot (WB) and RT-PCR. RESULTS: Apelin protein expression was detected in the cytoplasm of the breast carcinoma cells at various intensities. Apelin expression was positive in 59.2% (84/142) of the breast cancer patients and apelin expression was significantly correlated with tumor size (p = 0.030), stage (p = 0.000), histological type (p = 0.009), MVD (p = 0.000), LVD (p = 0.000), and lymph node metastasis (p = 0.041). Survival curves determined by the Kaplan-Meier method and univariate analysis demonstrated that high expression of apelin was associated with both worse disease-free survival (p < 0.001) and overall survival (p < 0.001). Interestingly, a significant difference in apelin and APJ expression by WB as well as RT-PCR was observed between normal breast tissues adjacent to the breast tumors and breast cancer tissues. CONCLUSIONS: Our results showed apelin expression was associated with tumor size, stage, histological type, MVD, LVD, lymph node metastasis and poor prognosis. The presence of apelin may be a new prognostic factor and potential therapeutic target for breast cancer.

Expression and clinical implications of basic leucine zipper ATF-like transcription factor 2 in breast cancer.

BACKGROUND: Basic leucine zipper ATF-like transcription factor 2 (BATF2) has been reported to participate in the occurrence and development of some malignancies. Herein, we aimed to explore the expression pattern and clinical implications of BATF2 in breast cancer (BC). METHODS: We assessed the differences in BATF2 mRNA expression between cancerous and noncancerous tissues in BC using GEPIA and UALCAN data and in BATF2 protein expression pattern using Human Protein Atlas (HPA) data. BATF2 co-expression networks were analyzed in Coexpedia. The association between the differentially expressed BATF2 mRNA and BC prognosis was assessed using UALCAN, OSbrca, and GEPIA databases. In external validations, BATF2 protein expression in BC tissues was quantitated using a tissue microarray and immunohistochemistry (IHC) analysis, and BATF2 mRNA expression in serum and serum-derived exosomes of BC patients using real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR). RESULTS: No difference in the BATF2 mRNA expression level was found between cancerous and noncancerous tissues in BC based on databases. There were low-to-moderate levels of increases in BATF2 protein expressions in BC cases from the HPA cohort. BATF2 mRNA expression was negatively correlated with androgen receptor (AR) and positively correlated with BRCA2 DNA repair associated (BRCA2), marker of proliferation Ki-67 (Mki67), and tumor protein p53 (TP53) expressions. Generally, BATF2 mRNA exhibited a non-significant association with BC prognosis; yet the subgroup analyses showed that triple-negative breast cancer (TNBC) patients with high BATF2 mRNA expressions had a longer overall survival (OS). Our IHC analysis revealed a positive rate of BATF2 protein expression of 46.90%, mainly located in the nucleus of cancer cells in BC, and the OS of BC patients with high BATF2 protein expressions was prolonged. The positive rates of BATF2 mRNA expressions in the serum and exosomes were 45.00 and 41.67%, respectively. Besides, the AUCs of serum and exosomal BATF2 mRNA for BC diagnosis were 0.8929 and 0.8869, respectively. CONCLUSIONS: BC patients exhibit low-to-moderate expressions in BATF2 mRNA expression levels in cancerous tissues. The high BATF2 protein expression can be a potential indicator of a better BC prognosis. Serum and exosomal BATF2 mRNA levels also serve as promising noninvasive biomarkers for BC diagnosis.

The combination of contrast-enhanced ultrasonography with blue dye for sentinel lymph node detection in clinically negative node breast cancer.

PURPOSE: The aim of this prospective study was to evaluate the value of the combination of contrast-enhanced ultrasonography (CEUS) and blue dye (BD) for SLN detection in patients with clinically negative node breast cancer. METHODS: Patients with clinically negative node breast cancer were randomized into two cohorts for SLN biopsy (SLNB): the combination method cohort using CEUS and BD together, and the single BD method cohort. Standard axillary lymph node dissection was performed if any of the SLNs confirmed positive by pathology. The identification rate, the number of SLNs removed and recurrence-free survival (RFS) rates were evaluated between two cohorts. In addition, we assessed the sensitivity, specificity, accuracy, false-negative rate of CEUS for diagnosis of SLNs based on patterns of CEUS enhancement. RESULTS: 144 consecutive patients with clinically negative node breast cancer were randomized into two cohorts. Each cohort consisted of 72 cases. In the combination method cohort, contrast-enhanced lymphatic vessels were clearly visualized and SLNs were accurately localized in 72 cases. The identification rate and the mean number of SLNs detected by the combination method were 100% (72/72) and 3.26 (1-9), respectively. In contrast, in the single BD method cohort, SLNs in 69 cases were successfully identified. The identification rate and the mean number of SLNs using BD alone were 95.8% (69/72) and 2.21 (1-4), respectively. According to patterns of CEUS enhancement, the sensitivity, specificity, accuracy, and the FNR of CEUS for SLN diagnosis were 69.2%, 96.6%, 91.7%, and 30.8%, respectively. After a median follow-up of 50 months for the combination method cohort and 51 months for the blue dye alone cohort, five patients in the combination method cohort and nine in the blue dye alone cohort had recurrence. RFS rates showed no significant difference (P = 0.26) between two cohorts. CONCLUSION: The combination of CEUS and BD is more effective than BD alone for SLNB in clinically negative node patients with an identification rate as high as 100%. Use of BD and CEUS in combination may provide the possibility of a non-radioactive alternative method for SLNB in centers without access to radioisotope.

Diagnostic Potential for Circular RNAs in Gastric Carcinoma: a Meta-Analysis.

BACKGROUND: Circular RNAs (circRNAs) are potential, novel biomarkers for the early diagnosis of gastric carcinoma. Herein, a meta-analysis was conducted to assess the diagnostic potential for circRNAs in gastric carcinoma. METHODS: Online databases were searched for eligible studies. Study quality was judged using the Quality Assessment for Studies of Diagnostic Accuracy (QUADAS) checklist-II tool. STATA 12.0 and Meta-Disc 1.4 software were used for statistical analysis. RESULTS: Twelve studies consisting of 1,278 patients and 1,250 paired controls were considered for meta-analysis. The pooled sensitivity and specificity of circRNAs for gastric carcinoma were compared to normal controls and found to be 0.68 (95% CI: 0.66 - 0.71) and 0.70 (95% CI: 0.68 - 0.73), respectively. A corresponding area under the receiver operating characteristic curve of 0.78 was identified. Moreover, stratified analysis demonstrated an improved diagnostic value for circRNAs when tissue and plasma specimens were combined. CONCLUSIONS: This meta-analysis demonstrates that circRNAs are promising biomarkers for gastric carcinoma.

Appraising Oncogenic Long Noncoding RNAs as Novel Biomarkers for Oral Tongue Squamous Cell Carcinoma: a Meta-Analysis.

BACKGROUND: Long noncoding RNAs (lncRNAs) are rapidly emerging as a novel class of transcripts associated with tumorigenesis and prognosis of oral tongue squamous cell carcinoma (OTSCC). The goal of this study was to perform a meta-analysis of the prognostic utility of tumorigenic lncRNAs as novel biomarkers of OTSCC and their associations with the clinicopathological features of OTSCC. METHODS: Online databases were searched for eligible studies. The hazard ratio (HR) with 95% CI was used to predict survival. The individual p-values for clinicopathological features were respectively combined using Fisher's method. RESULTS: A total of 11 studies covering 1,138 OTSCC cases were included for quantitative data synthesis. Oncogenic lncRNA expression signature was closely related to shortened overall survival (OS) of patients with OTSCC (HR = 1.85, 95% CI: 1.45 - 2.37, p = 0.001; I2 = 64.9%; p = 0.002). Stratified analysis based on clinicopathological features showed that abnormally expressed lncRNAs were significantly associated with clinical stage (p = 0.000), node metastasis (p = 0.025), T stage (p = 0.000), and nodal stage (p = 0.000). CONCLUSIONS: Collectively, oncogenic lncRNAs were implicated in the development and progression of OTSCC, and may serve as novel biomarkers for predicting the prognosis of OTSCC patients.

Diagnostic Value of Serum Epstein-Barr Virus Capsid Antigen-IgA for Nasopharyngeal Carcinoma: a Meta-Analysis Based on 21 Studies.

BACKGROUND: Epstein-Barr virus capsid antigen immunoglobulin A (EBV VCA-IgA) exerts an important role in the diagnosis of nasopharyngeal carcinoma (NPC). This meta-analysis aimed to evaluate the pooled diagnostic performance of VCA-IgA for NPC. METHODS: Literature fulfilling the criteria was searched in PubMed and Embase databases. The quality of the studies was assessed in terms of the Quality Assessment of Diagnosis Accuracy Studies (QUADAS) criteria. The pooled diagnostic parameters were generated using a bivariate meta-analysis model. Statistical analysis was performed based on the platforms of Meta-Disc 1.4 and Stata 12.0 software. The trim and fill adjustment method was applied to further assess the possible effects of publication bias. RESULT: Twenty one studies comprising 2986 NPC patients and 3507 controls were included in this meta-analysis. The overall pooled sensitivity and specificity of serum VCA-IgA for NPC were 0.83 (95%CI: 0.82 - 0.84) and 0.88 (95% CI: 0.87 - 0.89), respectively, accompanied by a pooled diagnostic odds ratio (DOR) of 49.87 and area under curve (AUC) of 0.9390. Moreover, our stratified analyses suggested that combinations of multiple EBV antigens (sensitivity, specificity, DOR, and AUC of 0.93, 0.95, 331.8, and 0.9850, respectively) yielded higher accuracy than single VCA-IgA test (sensitivity, specificity, DOR and AUC of 0.83, 0.88, 49.87, and 0.9393, respectively). Additionally, the immunoenzyme assay (IEA) seemed to be a better alternative for the analysis of serum VCA-IgA level, with a sensitivity of 0.92, specificity of 0.94, and AUC of 0.9644. CONCLUSIONS: Serum VCA-IgA hallmarks promising accuracy in the management of NPC and that parallel tests of multiple EBV antigens may be more suitable for NPC serodiagnosis than single VCA-IgA assay. .151122)

MicroRNAs as a Novel Class of Diagnostic Biomarkers in Detection of Oral Carcinoma: a Meta-Analysis Study.

BACKGROUND: Recent studies have highlighted the potential diagnostic values of microRNAs (miRNA) in various cancers involving oral cancer. This meta-analysis sought to summarize the global diagnostic accuracy of miRNAs for patients with oral cancer (OC). METHODS: A systematic review of multiple databases was performed to obtain original studies fulfilling search criteria and the quality of studies was assessed by the QUADAS tool. The bivariate meta-analysis model was employed to plot the summary receiver operator characteristic (SROC) curve. Influence analysis, meta-regression, and publication bias assay were all conducted using Stata 12.0 software. The trim-fill adjustment method was used to further assess the possible effect of publication bias. RESULTS: A total of 8 studies were included. The SROC analysis showed that miRNA profiling allowed for the discrimination between patients with high-risk oral lesions (OC or pre-cancer) and healthy donors, with a sensitivity of 0.84 (95% CI: 0.78-0.88) and specificity of 0.83 (95% CI: 0.78-0.87), corresponding to an area under curve (AUC) of 0.90. Our subgroup analyses suggested that miRNA signature harbored higher accuracy in diagnosing oral squamous cell carcinoma (OSCC) than pre-cancer lesions (AUC, sensitivity, and specificity of 0.90, 0.83, or 0.82, respectively). Moreover, stratified analyses revealed that parallel miRNA profiling, plasma- and Caucasian-based analyses all conferred promising accuracies for OC detection. The funnel plot assay manifested evidence of a publication bias. After the adjustment by the trim and fill method, the pooled adjusted efforts were slightly attenuated. CONCLUSIONS: MiRNA profiles hallmark a potential diagnostic value for detection of OC and potentially malignant disorders. Further studies should be performed to rigorously evaluate the diagnostic accuracy of miRNA profiling for OC.

Improvement and Evaluation of a Staining Method for Measuring Sperm Lactate Dehydrogenase C4 Activity.

BACKGROUND: This study sought to improve and evaluate a 2-hydroxyvaleric acid based staining method for detection of lactate dehydrogenase C4 (LDH-C4) activity in human spermatozoa. METHODS: A staining method for measuring sperm LDH-C4 activity with the substrate 2-hydroxyvaleric acid was improved. Expression level of LDH-C4 was assessed by Western blotting. The diagnostic performance was evaluated by plotting the receiver operating characteristic (ROC) curve. RESULTS: The positive products were black purple lumps concentrated in the neck segment of spermatozoa. Expression level of LDH-C4 was significantly reduced in the low activity infertile cases as compared to the matched contrasts. Decreased LDH-C4 level was significantly correlated with the declined enzyme activity (r = 0.702, p = 0.000). The ROC curve allowed for the discrimination between low and normal LDH-C4 activity cases with a sensitivity of 0.912 and specificity of 0.895, corresponding to an area under curve (AUC) of 0.941. CONCLUSIONS: The improved method hallmarks a promising accuracy in evaluating sperm LDH-C4 activity. Down-regulated LDH-C4 level is a culprit for the decreased LDH-C4 activity in spermatozoa.

Pathological Effects of the FMR1 CGG-Repeat Polymorphism (5-55 Repeat Numbers): Systematic Review and Meta-Analysis.

The fragile X mental retardation 1 (FMR1) gene contains a highly polymorphic trinucleotide (CGG) repeat and consists of various allelic forms. Traditionally, 55-200 repeats and over 200 CGG repeats have been highlighted to be associated with ovarian dysfunction and neuro-psychiatric risks. However, previous studies had paid little attention to the allelic forms of 5-55 CGG repeats. Herein, we sought to evaluate the pathological features of FMR1 allelic category with a range of 5-55 CGG repeats. We further classified the spectrum of CGG sizes (5-55 repeats) into three sub-groups as low numbers of CGG repeat (< 26 repeats), normal CGG count (26-34 repeats), and small CGG expansion (35-54 repeats). Our systematic review documented that low numbers of CGG repeat (< 26 repeats) revealed a close relationship with premature ovarian failure. Correspondingly, the meta-analysis showed that small CGG expansion, involving allelic sizes with 35-54 (n = 8, OR = 1.22, 95% CI: 0.75-2.00, P > 0.05) and 41-54 (n = 7, OR = 1.62, 95% CI: 1.14-2.30, P < 0.05), was both linked to the risk of ovarian dysfunction. Additionally, small CGG expansion exerts significant influence on male Parkinsonism cohorts (OR = 2.17, 95% CI: 1.50-3.14, P < 0.05), mental retardation, and repeat instability. Our data provide evidence that the CGG-repeat numbers below 26 or above 34 of FMR1 gene are also associated with disease risks and thus should be regarded as pathological genotypes for a routine test.

Diagnostic value of circulating microRNAs as biomarkers for breast cancer: a meta-analysis study.

Recent studies have provided new insights into the diagnostic value of circulating microRNAs (miRNAs) for breast cancer (BCa). However, the inconsistent results between studies have prevented the widespread usage of miRNAs in clinics. To systematically assess the potential diagnostic value of circulating miRNAs in BCa, we performed a comprehensive meta-analysis. Eligible studies were retrieved by searching electronic databases. The quality of the studies was assessed on the basis of quality assessment for studies of diagnostic accuracy (QUADAS) criteria. The bivariate meta-analysis model was employed to summarize the diagnostic indices and plot the summary receiver operator characteristic (SROC) curve. A total of 15 studies were included in this meta-analysis, involving 1368 BCa patients and 849 healthy controls. Our bivariate random effects meta-analysis yielded an area under curve (AUC) value of 0.9217, with a sensitivity of 0.82 (95 % confidence interval (CI) 0.80-0.83) and specificity of 0.82 (95% CI 0.80-0.85) for the use of miRNAs in differentiating BCa patients from healthy controls. Notably, our subgroup analysis suggested that a combination of multiple miRNAs (AUC, sensitivity, and specificity of 0.9518, 0.87, and 0.88, respectively) seemed to harbor higher accuracy than single miRNA-based assays (AUC, sensitivity, and specificity of 0.8923, 0.79, and 0.77, respectively). Altogether, our data indicate that circulating miRNA profiling has a potential to be used as a screening test for BCa, among which, the detection of a combined multiple miRNAs may be a more comprehensive indicator than individual miRNA.

MicroRNAs as Biomarkers for the Diagnostics of Bladder Cancer: a Meta-Analysis.

BACKGROUND: Bladder cancer (BCa) is the fifth most common cancer with significant morbidity and mortality. Recently, numerous studies demonstrated that microRNAs (miRNAs) are emerging as diagnostic biomarkers for BCa. However, the findings in these studies are inconsistent. To systematically assess the potential diagnostic value of miRNAs for BCa, a meta-analysis was performed in this study. METHODS: Relevant literature was researched in PubMed, Embase, Cochrane Library, Chinese National Knowledge Infrastructure (CNKI), and WanFang databases up to September 1, 2014. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative LR (NLR), diagnostic odds ratio (DOR), and area under the SROC curve (AUC) value were analyzed by the random-effects model, whose parameters reflected the overall diagnostic performance of miRNAs. RESULTS: Thirty studies from 10 individual publications, including 1019 BCa patients and 690 controls, were included in this meta-analysis. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.80 (95% CI: 0.78 - 0.81), 0.74 (95% CI: 0.72 - 0.76), 3.22 (95% CI: 2.68 - 3.87), 0.26 (95% CI: 0.21 - 0.32), 15.20 (95% CI: 10.25 - 22.53) and 0.85, respectively, indicating a moderate diagnostic accuracy for BCa. Moreover, our subgroup analyses showed that analysis of multiple miRNAs (AUC, sensitivity, and specificity of 0.913, 0.86, and 0.80, respectively) yielded a higher diagnostic accuracy than of single miRNAs (AUC, sensitivity, and specificity of 0.84, 0.78, and 0.73, respectively) in BCa diagnosis. In addition, as biomarkers, miRNAs are more suitable for the diagnosis of non-muscle-invasive BCa (NMIBCa) with AUC of 0.84, sensitivity of 0.74, and specificity of 0.77 than muscle-invasive BCa (MIBCa) with AUC of 0.79, sensitivity of 0.73, and specificity of 0.73. CONCLUSIONS: The present meta-analysis suggests that miRNAs are potential novel biomarkers for detection of BCa. However, further validation studies are still needed to confirm our findings.

Diagnostic Accuracies of the TUNEL, SCD, and Comet Based Sperm DNA Fragmentation Assays for Male Infertility: a Meta-analysis Study.

BACKGROUND: Recent studies have provided new insights into the diagnostic value of sperm DNA fragmentation (SDF) for male factor sterility. This study aimed to systematically evaluate the diagnostic accuracy of the SDF test for male infertility. METHODS: Eligible studies were retrieved by searching electronic databases. The quality of the studies was assessed on the basis of quality assessment for studies of diagnostic accuracy (QUADAS) criteria tool. The bivariate metaanalysis model was employed to summarize the diagnostic indices and plot the summary receiver operator characteristic (SROC) curve by using Meta-disc 1.4 software. Influence analysis, meta-regression, and publication bias assay were all conducted through Stata 12.0 software. RESULTS: Our bivariate random effect meta-analysis yielded an AUC (area under curve) value of 0.9211 with a sensitivity (95% confidence interval) of 0.80 (0.78 - 0.82) and specificity of 0.83 (0.80 - 0.86) for the use of the SDF test in differentiating infertile males from normal fertile controls. Moreover, our subgroup analysis suggested that SDF analysis with a single TUNEL test resulted in an AUC value of 0.9506, with a pooled sensitivity of 0.77 (0.74 - 0.80) and specificity of 0.91 (0.87 - 0.94), while SCD and Comet assays displayed a combined sensitivity of 0.77 (0.67 - 0.81) or 0.91 (0.88 - 0.94), and specificity of 0.84 (0.75 - 0.91) or 0.63 (0.54 - 0.70), accompanied by an AUC value of 0.8408 or 0.9473. CONCLUSIONS: The SDF assay confers a relatively high diagnostic accuracy for infertility detection, among which the TUNEL based methodology seems to achieve higher accuracy than the SCD and Comet assays.

Lactylproteome analysis indicates histone H4K12 lactylation as a novel biomarker in triple-negative breast cancer.

Objective: The established link between posttranslational modifications of histone and non-histone lysine (K) residues in cell metabolism, and their role in cancer progression, is well-documented. However, the lactylation expression signature in triple-negative breast cancer (TNBC) remains underexplored. Methods: We conducted a comprehensive lactylproteome profiling of eight pairs of TNBC samples and their matched adjacent tissues. This was achieved through 4-Dimensional label-free quantitative proteomics combined with lactylation analysis (4D-LFQP-LA). The expression of identified lactylated proteins in TNBC was detected using immunoblotting and immunohistochemistry (IHC) with specific primary antibodies, and their clinicopathological and prognostic significance was evaluated. Results: Our analysis identified 58 lactylation sites on 48 proteins, delineating the protein lactylation alteration signature in TNBC. Bioinformatic and functional analyses indicated that these lactylated proteins play crucial roles in regulating key biological processes in TNBC. Notably, lactylation of lysine at position 12 (H4K12lac) in the histone H4 domain was found to be upregulated in TNBC. Further investigations showed a high prevalence of H4K12lac upregulation in TNBC, with positive rates of 93.19% (137/147) and 92.93% (92/99) in TNBC tissue chip and validation cohorts, respectively. H4K12lac expression correlated positively with Ki-67 and inversely with overall survival (OS) in TNBC (HR [hazard ratio] =2.813, 95%CI [credibility interval]: 1.242-6.371, P=0.0164), suggesting its potential as an independent prognostic marker (HR=3.477, 95%CI: 1.324-9.130, P=0.011). Conclusions: Lactylation is a significant post-translational modification in TNBC proteins. H4K12lac emerges as a promising biomarker for TNBC, offering insights into the lactylation profiles of TNBC proteins and linking histone modifications to clinical implications in TNBC.

Transient receptor potential channels' genes forecast cervical cancer outcomes and illuminate its impact on tumor cells.

Introduction: In recent years, there has been a strong association between transient receptor potential (TRP) channels and the development of various malignancies, drug resistance, and resistance to radiotherapy. Consequently, we have investigated the relationship between transient receptor potential channels and cervical cancer from multiple angles. Methods: Patients' mRNA expression profiles and gene variants were obtained from the TCGA database. Key genes in transient receptor potential channel prognosis-related genes (TRGs) were screened using the least absolute shrinkage and selection operator (LASSO) regression method, and a risk signature was constructed based on the expression of key genes. Various analyses were performed to evaluate the prognostic significance, biological functions, immune infiltration, and response to immunotherapy based on the risk signature. Results: Our research reveals substantial differences between high and low-risk groups in prognosis, tumor microenvironment, tumor mutational load, immune infiltration, and response to immunotherapy. Patients in the high-risk group exhibited poorer prognosis, lower tumor microenvironment scores and reduced response to immunotherapy while showing increased sensitivity to specific targeted drugs. In vitro experiments further illustrated that inhibiting transient receptor potential channels effectively decreased the proliferation, invasion, and migration of cervical cancer cells. Discussion: This study highlights the significant potential of transient receptor potential channels in cervical cancer, emphasizing their crucial role in prognostic prediction and personalized treatment strategies. The combination of TRP inhibitors with immunotherapy and targeted drugs may offer promise for individuals affected by cervical cancer.

FBXO5 acts as a novel prognostic biomarker for patients with cervical cancer.

Background: Cervical cancer (CC) remains one of the most common and deadly malignancies in women worldwide. FBXO5, a protein-coding gene, is highly expressed in a variety of primary tumors and promotes tumor progression, however, its role and prognostic value in CC remain largely unknown. Methods: A key differential gene, FBXO5, was screened according to WGCNA based on immunohistochemical assays of clinical samples, multiple analyses of the Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases, including survival analysis, tumor mutational burden, GO, KEGG, tumor immune infiltration, and chemotherapeutic drug sensitivity, to explore the expression and prognostic value of FBXO5 in CC. The migration and invasiveness of cervical cancer cells following FBXO5 knockdown and overexpression were examined using wound healing and transwell assays, and the viability of cancer cells was assessed using CCK8 and EdU assays. Results: FBXO5 was discovered to be substantially expressed in CC tissues using data from our CC cohort and the TCGA database, and a survival analysis indicated FBXO5 as a predictive factor for poor overall survival in CC patients. In vitro, CC cells were more inclined to proliferate, migrate, and invade when FBXO5 was upregulated as opposed to when it was knocked down.

Performance of a PLK1-based immune risk model for prognosis and treatment response prediction in breast cancer.

OBJECTIVE: Polo-like kinase 1 (PLK1), a serine/threonine-protein kinase, functions as a potent oncogene in the initiation and progression of tumor. The aim of this study is to assess potential correlations between PLK1 expression and immune infiltration in breast cancer (BRCA) and construct a PLK1-based immune risk model applicable for prognosis and treatment response prediction in BRCA. METHODS: We collected data on PLK1 gene expression in BRCA patients from The Cancer Genome Atlas (TCGA) database. Thereafter, we analyzed the associations of PLK1 expression with immune cell infiltration and immunomodulators, and established a prognostic risk model based on seven PLK1-associated immunomodulator genes and a nomogram for survival prediction. RESULTS: BRCA prognosis, clinical stage progression, and tumor classification were all shown to be substantially correlated with PLK1 expression. The PLK1 gene was significantly enriched in T cell and B cell receptors and molecules of the chemokine signaling pathways. Specifically, PLK1 expression was positively correlated with the CD8+ T cell and regulatory T cell (Tregs) activation and negatively correlated with M2 macrophage infiltration. The seven-genes-based risk model could serve as an independent prognostic factor of BRCA. The risk model was markedly correlated with the expression of programmed cell death protein 1/programmed cell death ligand 1 (PD-1/PD-L1; both p < 0.001) immune checkpoints, and tumor mutation burden (TMB). High- and low-risk BRCA patients identified by the risk model responded differently to anti-PD-1 and/or anti-CTLA4 therapy, as well as common chemotherapy drugs, like cisplatin, paclitaxel, and gemcitabine. CONCLUSION: This PLK1-based immune risk model can effectively predict the prognosis and tumor progression of BRCA, identify gene mutations, and evaluate patient's response toward immunotherapy and chemotherapy regimens.

Significance of Immunogenic Cell Death-Related Prognostic Gene Signature in Cervical Cancer Prognosis and Anti-Tumor Immunity.

Background: Immunogenic cell death (ICD) can reshape the immune microenvironment of tumors. Driven by stressful pressure, by directly destroying tumor cells and activating the body's adaptive immunity, ICD acts as a modulator of cell death, enabling the body to generate an anti-tumor immune response that produces a more effective therapeutic effect, while tumor cells are driven to kill. Hence, this research aimed to find and evaluate ICD-related genetic signatures as cervical cancer (CC) prognostic factors. Methods: Data of CC patients from the Tumor Genome Atlas (TCGA) were used as the basis to obtain immunogenic cell-death-related prognostic genes (IPGs) in patients with CC, using the least absolute shrinkage and selection operator and Cox regression screening, and the IPGs scoring system was constructed to classify patients into high- and low-risk groups, with the Gene Expression Omnibus (GEO) dataset as the validation group. Finally, the difference analysis of single-sample gene set enrichment analysis, tumor microenvironment (TME), immune cells, tumor mutational burden, and chemotherapeutic drug sensitivity between the high-risk and low-risk groups was investigated. Results: A prognostic model with four IPGs (PDIA3, CASP8, IL1, and LY96) was developed, and it was found that the group of CC patients with a higher risk score of IPGs expression had a lower survival rate. Single and multifactor Cox regression analysis also showed that this risk score was a reliable predictor of overall survival. In comparison to the low-risk group, the high-risk group had lower TME scores and immune cell infiltration, and gene set variation analysis showed that immune-related pathways were more enriched in the high-risk group. Conclusion: A risk model constructed from four IPGs can independently predict the prognosis of CC patients and recommend more appropriate immunotherapy strategies for patients.

Cancer-testis antigen lactate dehydrogenase C4 as a novel biomarker of male infertility and cancer.

A unique lactate dehydrogenase (LDH) isoenzyme designated as lactate dehydrogenase C4 (LDH-C4) is found in mammalian mature testis and spermatozoa. Thus far, LDH-C4 has been well studied with regard to its gene and amino acid sequences, structure, biological properties, and peptide synthesis. Accumulating evidence has shown that LDH-C4 is closely related to spermatic energy metabolism and plays a critical role in sperm motility, capacitation, and fertilization. Defects in the catalytic activity of LDH-C4 are key to pathophysiological abnormalities underlying infertility. LDH-C4 was originally thought to be present only in mature testis and spermatozoa; however, recent studies have implicated LDH-C4 as a cancer-testis antigen (CTA), owing to its aberrant transcription in a broad spectrum of human neoplasms. This review highlights the recent findings on LDH-C4 with particular emphasis on its role in male infertility and tumors.