Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor prognosis.Anchorage-dependent cell death(anoikis)has been proven to be indispensable in ...Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor prognosis.Anchorage-dependent cell death(anoikis)has been proven to be indispensable in tumor metastasis,regulating the migration and adhesion of tumor cells at the primary site.However,as a type of programmed cell death,anoikis is rarely studied in osteosarcoma,especially in the tumor immune microenvironment.This study aims to clarify prognostic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma.Methods:Anoikis-related genes(ANRGs)were obtained from GeneCards.Clinical information and ANRGs expression profiles of osteosarcoma patients were sourced from the therapeutically applicable research to generate effective therapies and Gene Expression Omnibus(GEO)databases.ANRGs highly associated with tumor immune microenvironment were identified by the estimate package and the weighted gene coexpression network analysis(WGCNA)algorithm.Machine learning algorithms were performed to construct long-term survival predictive strategy,each sample was divided into high-risk and low-risk subgroups,which was further verified in the GEO cohort.Finally,based on single-cell RNA-seq from the GEO database,analysis was done on the function of signature genes in the osteosarcoma tumor microenvironment.Results:A total of 51 hub ANRGs closely associated with the tumor microenvironment were identified,from which 3 genes(MERTK,BNIP3,S100A8)were selected to construct the prognostic model.Significant differences in immune cell activation and immune-related signaling pathways were observed between the high-risk and low-risk groups based on tumor microenvironment analysis(all P<0.05).Additionally,characteristic genes within the osteosarcoma microenvironment were identified in regulation of intercellular crosstalk through the GAS6-MERTK signaling pathway.Conclusion:The prognostic model based on ANRGs and tumor microenvironment demonstrate good predictive power and provide more personalized treatment options for patients with osteosarcoma.展开更多
Objective: To detect the expression of cyclinD1 and Ki67 in nasopharyngeal carcinoma (NPC) and their correlation with the biological behaviors and prognosis. Methods: 56 cases of biopsy specimens ...Objective: To detect the expression of cyclinD1 and Ki67 in nasopharyngeal carcinoma (NPC) and their correlation with the biological behaviors and prognosis. Methods: 56 cases of biopsy specimens of NPC which had been embedded with para?n in 1996 in our hospital were collected and immunostained with cyclinD1 and Ki67 monoclonal antibodies by means of the streptavidin peroxides method. The patients were followed up periodically, and then their biological behaviors and prognosis were statistically analyzed. Results: The percentage of cyclinD1 and Ki67 positive cells in the NPC specimens ranged from 0–54% and 0–31% respectively. The staining was nuclear. Of the 56 cases, 30 cases (56.6%) highly expressed cyclinD1 or Ki67 HPI and 26 cases (46.4%) lowly expressed cyclinD1, while only 16 cases (28.6%) showed Ki67 HPI (high proliferated index) and 40 cases (71.4%) showed Ki67 LPI (low proliferated index). Patients who lowly expressed cyclinD1 or highly expressed Ki67 had a higher radiosensitivity and a better prognosis. Conclusion: CyclinD1 and Ki67 immunohistochemical staining is considered to be useful, not only as an independent factor of radiosensitivity and prognosis respectively, but also as a means of determining the optimum treatment for each individual patient with NPC.展开更多
Objective: To investigate the diagnostic value and the relationship between the clinicopathological features and the levels of total and free prostate-specific antigen (PSA) in women with breast cancer.Methods: Using ...Objective: To investigate the diagnostic value and the relationship between the clinicopathological features and the levels of total and free prostate-specific antigen (PSA) in women with breast cancer.Methods: Using the microparticle enzyme immunoassay system, we measured the concentrations of these markers in the sera of 85 women with breast cancer and in 30 healthy women.Rseults: The lowest detection level for both markers was 0.01 ng/ml. Free PSA levels were significantly higher in women with breast cancer than that in healthy women (P<0.05). The percentage of free PSA predominant subjects was 37.6% in breast cancer patients and 3.3% in healthy women. Cut-off values were 0.36 ng/ml for total PSA and 0.02 ng/ml for free PSA. In women with breast cancer, total PSA positivity was 23.5% and free PSA positivity was 27.1%. Compared to negatives, total PSA positive patients had a higher percentage of lymph node involvement tumours (P>0.05). However, patients with predominant free PSA had a higher percentage of early stage than patients with predominant PSA-ACT.Conclusion: Although the sensitivity of free PSA predominance is low (37.6%) in distinguishing women with breast cancer from healthy women, its specificity is high (97.0%).Free PSA predominance tends to be present in early stage tumours. These findings may indicate clinical significance of preoperative measurement of serum total and free PSA in women with breast cancer.展开更多
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide.The recurrence of HCC after curative treatments is currently a major hurdle.Identification of subsets of patients with distinct progn...Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide.The recurrence of HCC after curative treatments is currently a major hurdle.Identification of subsets of patients with distinct prognosis provides an opportunity to tailor therapeutic approaches as well as to select the patients with specific sub-phenotypes for targeted therapy.Thus,the development of gene expression profiles to improve the prediction of HCC prognosis is important for HCC management.Although several gene signatures have been evaluated for the prediction of HCC prognosis,there is no consensus on the predictive power of these signatures.Using systematic approaches to evaluate these signatures and combine them with clinicopathologic information may provide more accurate prediction of HCC prognosis.Recently,Villanueva et al developed a composite prognostic model incorporating gene expression patterns in both tumor and adjacent tissues to predict HCC recurrence.In this commentary,we summarize the current progress in using gene signatures to predict HCC prognosis,and discuss the importance,existing issues and future research directions in this field.展开更多
Objective: The aim of the study was to conduct a systematic review of the literature evaluating survivin expres- sion in pancreatic carcinoma as a prognostic indicator. Methods: The relevant literatures were searche...Objective: The aim of the study was to conduct a systematic review of the literature evaluating survivin expres- sion in pancreatic carcinoma as a prognostic indicator. Methods: The relevant literatures were searched using PubMed, EMBASE, and Chinese Biomedicine Databases. A meta-analysis of the association between survivin expression and overall survival in patients with pancreatic cancer was performed. Studies were pooled and summary hazard ratios (HRs) were calculated. Subgroup analysis according to the location of survivin expression was also performed. Results: Seven eligible studies with a total of 448 patients were included in this study. Combined HR suggested that survivin expression had an unfavorable impact on survival of pancreatic cancer patients (HR = 1.65, 95% CI: 1.02-2.68). When stratified according to the location of survivin expression, the combined HR showed that expression in the cytoplasm was significantly associated with poor prog- nosis of pancreatic cancer patients (HR = 2.09, 95% CI: 1.29-3.40). In contrast, survivin expression in the nucleus was not significantly associated with poor prognosis (HR = 0.83, 95% CI: 0.24-2.81), and the heterogeneity was highly significant (I2 = 87.2%, P = 0.005). Conclusien: Survivin expression was associated with a poor prognosis in patients with pancreatic cancer. Cytoplasmic expression of survivin may be a prognostic factor for pancreatic cancer patients. Based on the current obtained data, there was no evidence that survivin expression in the nucleus had a significant impact on patients' overall survival.展开更多
基金This work was supported by the National Natural Science Foundation(82172594 and 82373046)the Hunan Graduate Research Innovation Project(CX20230318),China.
文摘Objective:Osteosarcoma is a highly aggressive primary malignant bone tumor commonly seen in children and adolescents,with a poor prognosis.Anchorage-dependent cell death(anoikis)has been proven to be indispensable in tumor metastasis,regulating the migration and adhesion of tumor cells at the primary site.However,as a type of programmed cell death,anoikis is rarely studied in osteosarcoma,especially in the tumor immune microenvironment.This study aims to clarify prognostic value of anoikis and tumor immune microenvironment-related gene in the treatment of osteosarcoma.Methods:Anoikis-related genes(ANRGs)were obtained from GeneCards.Clinical information and ANRGs expression profiles of osteosarcoma patients were sourced from the therapeutically applicable research to generate effective therapies and Gene Expression Omnibus(GEO)databases.ANRGs highly associated with tumor immune microenvironment were identified by the estimate package and the weighted gene coexpression network analysis(WGCNA)algorithm.Machine learning algorithms were performed to construct long-term survival predictive strategy,each sample was divided into high-risk and low-risk subgroups,which was further verified in the GEO cohort.Finally,based on single-cell RNA-seq from the GEO database,analysis was done on the function of signature genes in the osteosarcoma tumor microenvironment.Results:A total of 51 hub ANRGs closely associated with the tumor microenvironment were identified,from which 3 genes(MERTK,BNIP3,S100A8)were selected to construct the prognostic model.Significant differences in immune cell activation and immune-related signaling pathways were observed between the high-risk and low-risk groups based on tumor microenvironment analysis(all P<0.05).Additionally,characteristic genes within the osteosarcoma microenvironment were identified in regulation of intercellular crosstalk through the GAS6-MERTK signaling pathway.Conclusion:The prognostic model based on ANRGs and tumor microenvironment demonstrate good predictive power and provide more personalized treatment options for patients with osteosarcoma.
文摘Objective: To detect the expression of cyclinD1 and Ki67 in nasopharyngeal carcinoma (NPC) and their correlation with the biological behaviors and prognosis. Methods: 56 cases of biopsy specimens of NPC which had been embedded with para?n in 1996 in our hospital were collected and immunostained with cyclinD1 and Ki67 monoclonal antibodies by means of the streptavidin peroxides method. The patients were followed up periodically, and then their biological behaviors and prognosis were statistically analyzed. Results: The percentage of cyclinD1 and Ki67 positive cells in the NPC specimens ranged from 0–54% and 0–31% respectively. The staining was nuclear. Of the 56 cases, 30 cases (56.6%) highly expressed cyclinD1 or Ki67 HPI and 26 cases (46.4%) lowly expressed cyclinD1, while only 16 cases (28.6%) showed Ki67 HPI (high proliferated index) and 40 cases (71.4%) showed Ki67 LPI (low proliferated index). Patients who lowly expressed cyclinD1 or highly expressed Ki67 had a higher radiosensitivity and a better prognosis. Conclusion: CyclinD1 and Ki67 immunohistochemical staining is considered to be useful, not only as an independent factor of radiosensitivity and prognosis respectively, but also as a means of determining the optimum treatment for each individual patient with NPC.
文摘Objective: To investigate the diagnostic value and the relationship between the clinicopathological features and the levels of total and free prostate-specific antigen (PSA) in women with breast cancer.Methods: Using the microparticle enzyme immunoassay system, we measured the concentrations of these markers in the sera of 85 women with breast cancer and in 30 healthy women.Rseults: The lowest detection level for both markers was 0.01 ng/ml. Free PSA levels were significantly higher in women with breast cancer than that in healthy women (P<0.05). The percentage of free PSA predominant subjects was 37.6% in breast cancer patients and 3.3% in healthy women. Cut-off values were 0.36 ng/ml for total PSA and 0.02 ng/ml for free PSA. In women with breast cancer, total PSA positivity was 23.5% and free PSA positivity was 27.1%. Compared to negatives, total PSA positive patients had a higher percentage of lymph node involvement tumours (P>0.05). However, patients with predominant free PSA had a higher percentage of early stage than patients with predominant PSA-ACT.Conclusion: Although the sensitivity of free PSA predominance is low (37.6%) in distinguishing women with breast cancer from healthy women, its specificity is high (97.0%).Free PSA predominance tends to be present in early stage tumours. These findings may indicate clinical significance of preoperative measurement of serum total and free PSA in women with breast cancer.
基金Supported by The National Outstanding Youth Fund,No.81025015Key Project Fund,No.91129301Creative Research Group Fund of the National Natural Science Foundation of China,No.30921006
文摘Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide.The recurrence of HCC after curative treatments is currently a major hurdle.Identification of subsets of patients with distinct prognosis provides an opportunity to tailor therapeutic approaches as well as to select the patients with specific sub-phenotypes for targeted therapy.Thus,the development of gene expression profiles to improve the prediction of HCC prognosis is important for HCC management.Although several gene signatures have been evaluated for the prediction of HCC prognosis,there is no consensus on the predictive power of these signatures.Using systematic approaches to evaluate these signatures and combine them with clinicopathologic information may provide more accurate prediction of HCC prognosis.Recently,Villanueva et al developed a composite prognostic model incorporating gene expression patterns in both tumor and adjacent tissues to predict HCC recurrence.In this commentary,we summarize the current progress in using gene signatures to predict HCC prognosis,and discuss the importance,existing issues and future research directions in this field.
文摘Objective: The aim of the study was to conduct a systematic review of the literature evaluating survivin expres- sion in pancreatic carcinoma as a prognostic indicator. Methods: The relevant literatures were searched using PubMed, EMBASE, and Chinese Biomedicine Databases. A meta-analysis of the association between survivin expression and overall survival in patients with pancreatic cancer was performed. Studies were pooled and summary hazard ratios (HRs) were calculated. Subgroup analysis according to the location of survivin expression was also performed. Results: Seven eligible studies with a total of 448 patients were included in this study. Combined HR suggested that survivin expression had an unfavorable impact on survival of pancreatic cancer patients (HR = 1.65, 95% CI: 1.02-2.68). When stratified according to the location of survivin expression, the combined HR showed that expression in the cytoplasm was significantly associated with poor prog- nosis of pancreatic cancer patients (HR = 2.09, 95% CI: 1.29-3.40). In contrast, survivin expression in the nucleus was not significantly associated with poor prognosis (HR = 0.83, 95% CI: 0.24-2.81), and the heterogeneity was highly significant (I2 = 87.2%, P = 0.005). Conclusien: Survivin expression was associated with a poor prognosis in patients with pancreatic cancer. Cytoplasmic expression of survivin may be a prognostic factor for pancreatic cancer patients. Based on the current obtained data, there was no evidence that survivin expression in the nucleus had a significant impact on patients' overall survival.