COL1A1 polymorphism is associated with risks of osteosarcoma susceptibility and death

Phellodendrine ameliorates intestinal inflammation and protects mucosal barrier via modulating COL1A1, VCAM1 and IL-17 a

BACKGROUND

Phellodendrine (PHE) has anti-inflammatory and antioxidant effects. However, the function of PHE in treating inflammatory bowel disease (IBD) has not been fully elucidated. The aim of this study was to investigate the effects and mechanisms of PHE on IBD with in vivo and in vitro assays.

MATERIALS AND METHODS

Bioinformatics was used to identify hub genes associated with IBD pathogenesis. Virtual screening was applied to predicting the natrual compounds targeting hub genes. A mouse model with colitis was established by oral administration of 3 % dextran sulfate (DSS), and the mice were treated with normal saline or PHE (30 mg/kg/day or 80 mg/kg/day). On day 14, the mice were sacrificed and their colons were collected for measurement and histological analysis. The pathological change and inflammation of the tissues in different groups also were evaluated. In addition, the intestinal epithelial Caco-2 cell line was treated with lipopolysaccharide (LPS) to establish an in vitro intestinal inflammation model. CCK-8 assay and flow cytometry were used to detect the effects of PHE (10 μM or 40 μM) on cell viability and apoptosis. Western blot was used to the investigate the regulatory effects of PHE on the expression levels of zonula occludens 1 (ZO-1), occludin, claudin-1, collagen type I alpha 1 (COL1A1), vascular cell adhesion molecule 1 (VCAM1), interleukin-17 A (IL-17 A), phosphorylated AMP-activated protein kinase (AMPK) and mammalian target of rapamycin (mTOR).

RESULTS

COL1A1 and VCAM1 were identified as therapeutic targets in IBD. PHE was identified as a natural drug simultaneously targeting COL1A1 and VCAM1. PHE treatment alleviates the weight loss and symptoms of mice induced by acute colitis. PHE treatment reduced myeloperoxidase (MPO) activity and pro-inflammatory cytokine levels in colonic tissues, and inhibited expression levels of COL1A1, VCAM1 and IL-17 A, and promoted expression levels of ZO-1, occludin and claudin-1. In vitro, PHE treatment also protected Caco-2 cells from LPS-induced inflammation, which was dependent on AMPK/mTOR pathway.

CONCLUSION

PHE ameliorates intestinal inflammation and intestinal barrier injury, probably via modulating COL1A1, VCAM1 and IL-17 A, and acting on AMPK/mTOR pathway. PHE may be a potential natural drug for IBD treatment.

Analysis of the effects of M2 macrophage-derived PDE4C on the prognosis, metastasis and immunotherapy benefit of osteosarcoma

Tumour-associated macrophages (TAMs), encompassing M1 and M2 subtypes, exert significant effects on osteosarcoma (OS) progression and immunosuppression. However, the impacts of TAM-derived biomarkers on the progression of OS remains limited. The GSE162454 profile was subjected to single-cell RNA (scRNA) sequencing analysis to identify crucial mediators between TAMs and OS cells. The clinical features, effects and mechanisms of these mediators on OS cells and tumour microenvironment were evaluated via biological function experiments and molecular biology experiments. Phosphodiesterase 4C (PDE4C) was identified as a pivotal mediator in the communication between M2 macrophages and OS cells. Elevated levels of PDE4C were detected in OS tissues, concomitant with M2 macrophage level, unfavourable prognosis and metastasis. The expression of PDE4C was observed to increase during the conversion process of THP-1 cells to M2 macrophages, which transferred the PDE4C mRNA to OS cells through exosome approach. PDE4C increased OS cell proliferation and mobility via upregulating the expression of collagens. Furthermore, a positive correlation was observed between elevated levels of PDE4C and increased TIDE score, decreased response rate following immune checkpoint therapy, reduced TMB and diminished PDL1 expression. Collectively, PDE4C derived from M2 macrophages has the potential to enhance the proliferation and mobility of OS cells by augmenting collagen expression. PDE4C may serve as a valuable biomarker for prognosticating patient outcomes and response rates following immunotherapy.

Cell membrane-anchored and tumor-targeted IL-12 T-cell therapy destroys cancer-associated fibroblasts and disrupts extracellular matrix in heterogenous osteosarcoma xenograft models

BACKGROUND

The extracellular matrix (ECM) and cancer-associated fibroblasts (CAFs) play major roles in tumor progression, metastasis, and the poor response of many solid tumors to immunotherapy. CAF-targeted chimeric antigen receptor-T cell therapy cannot infiltrate ECM-rich tumors such as osteosarcoma.

METHOD

In this study, we used RNA sequencing to assess whether the recently invented membrane-anchored and tumor-targeted IL-12-armed (attIL12) T cells, which bind cell-surface vimentin (CSV) on tumor cells, could destroy CAFs to disrupt the ECM. We established an in vitro model of the interaction between osteosarcoma CAFs and attIL12-T cells to uncover the underlying mechanism by which attIL12-T cells penetrate stroma-enriched osteosarcoma tumors.

RESULTS

RNA sequencing demonstrated that attIL12-T cell treatment altered ECM-related gene expression. Immunohistochemistry staining revealed disruption or elimination of high-density CAFs and ECM in osteosarcoma xenograft tumors following attIL12-T cell treatment, and CAF/ECM density was inversely correlated with T-cell infiltration. Other IL12-armed T cells, such as wild-type IL-12-targeted or tumor-targeted IL-12-T cells, did not disrupt the ECM because this effect depended on the engagement between CSV on the tumor cell and its ligand on the attIL12-T cells. Mechanistic studies found that attIL12-T cell treatment elevated IFNγ production on interacting with CSV+ tumor cells, suppressing transforming growth factor beta secretion and in turn upregulating FAS-mediated CAF apoptosis. CAF destruction reshaped the tumor stroma to favor T-cell infiltration and tumor inhibition.

CONCLUSIONS

This study unveiled a novel therapy-attIL12-T cells-for targeting CAFs/ECM. These findings are highly relevant to humans because CAFs are abundant in human osteosarcoma.

hsa_circ_0020378 regulating miR-339-3p/COL1A1 promotes osteosarcoma progression

Osteosarcoma is a malignant orthopedic tumor that is frequently diagnosed in the pediatric population. Several studies have summarized the functions of circular RNAs (circRNAs) in the progression of osteosarcoma. This study aimed to investigate a novel circRNA, hsa_circ_0020378 (circ_0020378), and elucidate its functions and underlying mechanisms during osteosarcoma progression. The expression levels of circ_0020378, miR-339-3p, and COL1A1 in osteosarcoma cells and tissues were determined using RT-qPCR or Western blotting. CCK8, transwell migration, colony formation, and xenograft experiments were performed to assess the malignancy of osteosarcoma cells. Luciferase and RNA immunoprecipitation (RIP) experiments were employed to validate the interactions of miR-339-3p with circ_0020378 and COL1A1 3'UTR. Osteosarcoma cells and tissues showed significant upregulation of circ_0020378 and COL1A1 and downregulation of miR-339-3p. Silencing circ_0020378 in osteosarcoma cells inhibited their proliferation, colony formation, and migration. The inhibitive influence of circ_0020378 silencing during osteosarcoma tumorigenesis in vitro was verified in vivo. Circ_0020378 sponged miR-339-3p which targeted COL1A1 3'UTR. Circ _0020378 silencing disrupted the tumor-promoting effect of the miR-339-3p inhibitor in osteosarcoma cells. Furthermore, miR-339-3p inhibitor attenuated the suppressive effect of COL1A1 downregulation on malignant osteosarcoma cell phenotypes. Circ_0020378 stimulates osteosarcoma progression by downregulating miR-339-3p/COL1A1 expression. These findings provide a theoretical basis for the discovery of novel osteosarcoma targets.

Identification of key serum biomarkers for the diagnosis and metastatic prediction of osteosarcoma by analysis of immune cell infiltration

Background

The role of circular RNAs (circRNAs) and microRNAs (miRNAs) in osteosarcoma (OS) development has not been fully elucidated. Further, the contribution of the immune response to OS progression is not well defined. However, it is known that circRNAs and miRNAs can serve as biomarkers for the diagnosis, prognosis, and therapy of many cancers. Thus, the aim of this study was to identify novel key serum biomarkers for the diagnosis and metastatic prediction of OS by analysis of immune cell infiltration and associated RNA molecules.

Methods

Human OS differentially expressed circRNAs (DEcircRNAs), differentially expressed miRNAs (DEmiRNAs), and differentially expressed mRNAs (DEmRNAs) were identified by analysis of microarray data downloaded from Gene Expression Omnibus (GEO) datasets. Further, characteristic patterns of OS-infiltrating immune cells were analyzed. On this basis, we identified statistically significant transcription factors. Moreover we performed pathway enrichment analysis, constructed protein–protein interaction networks, and devised competitive endogenous RNA (ceRNA) networks. Biological targets of the ceRNA networks were evaluated and potential OS biomarkers confirmed by RT-qPCR analysis of the patients’ serum.

Results

Seven differentially expressed circRNAs, 166 differentially expressed miRNAs, and 175 differentially expressed mRNAs were identified. An evaluation of cellular OS infiltration identified the highest level of infiltration by M0 macrophages, M2 macrophages, and CD8+ T cells, with M0 macrophages and CD8+ T cells as the most prominent. Significant patterns of tumor-infiltrating immune cells were identified by principal component analysis. Moreover, 185 statistically significant transcription factors were associated with OS. Further, in association with immune cell infiltration, hsa-circ-0010220, hsa-miR-326, hsa-miR-338-3p, and FAM98A were identified as potential novel biomarkers for OS diagnosis. Of these, FAM98A had the most promise as a diagnostic marker for OS and OS metastasis. Most importantly, a novel diagnostic model consisting of these four biomarkers (hsa-circ-0010220, hsa-miR-326, hsa-miR-338-3p, and FAM98A) was established with a 0.928 AUC value.

Conclusions

In summary, potential serum biomarkers for OS diagnosis and metastatic prediction were identified based on an analysis of immune cell infiltration. A novel diagnostic model consisting of these four promising serum biomarkers was established. Taken together, the results of this study provide a new perspective by which to understand immunotherapy of OS.

Long noncoding RNA GAS8-AS1: A novel biomarker in human diseases

Long non-coding RNAs (lncRNAs) represent a group of ncRNAs with more than 200 nucleotides. These RNAs can specifically regulate gene expression at both the transcriptional and the post-transcriptional levels, and increasing evidence indicates that they play vital roles in a variety of disease-related cellular processes. The lncRNA GAS8 antisense RNA 1 (GAS8-AS1, also known as C16orf3) is located in the second intron of GAS8 and has been reported to be both abnormally expressed in several diseases and closely correlated with many clinical characteristics. GAS8-AS1 has been shown to affect many biological functions, including cell proliferation, migration, invasiveness, and autophagy using several signaling pathways. In this review, we have summarized current studies on GAS8-AS1 roles in disease and discuss its potential clinical utility. GAS8-AS1 may be a promising biomarker for both diagnoses and prognoses, and a novel target for many disease therapies.

FENDRR: A pivotal, cancer-related, long non-coding RNA

Long non-coding RNAs (lncRNAs) have more than 200 nucleotides and do not encode proteins. Based on numerous studies, lncRNAs have emerged as new and crucial regulators of biological function and have been implicated in the pathogenesis of a variety of diseases, especially cancers. Specific lncRNAs have been identified as novel molecular biomarkers for cancer diagnosis, prognosis, and treatment efficacy. Fetal-lethal non-coding developmental regulatory RNA (FENDRR, also known as FOXF1-AS1) is a novel lncRNA that is located at chr3q13.31 and has four exons and 3099 nucleotides, and its genomic site is located at chr3q13.31. FENDRR is abnormally expressed in a variety of cancers and is significantly associated with different clinical characteristics. In addition, FENDRR has shown potential as a biomarker for cancer diagnosis, prognosis, and treatment. In this review, we summarize the current understanding of FENDRR and its mechanistic role in cancer progression. We also discuss recent insights into the clinical significance of FENDRR for cancer diagnosis, prognosis, and treatment.

Extracellular Collagen Mediates Osteosarcoma Progression Through an Integrin α2β1/JAK/STAT3 Signaling Pathway

Background

Osteosarcoma development is a complex set which is determined by various factors. Many patients suffered from sustained osteosarcoma growth and revealed poor response to clinical interventions. However, the underlying mechanisms of osteosarcoma development still remain unclear.

Methods

In our study, we isolated osteosarcoma tissues from clinical patients, which were divided into high degree group (stage G1~G2) and low degree group (stage G0). The expression of type I collagen, integrin and STAT3 in tumor tissues were analyzed by immunohistochemistry or immunofluorescence. The collagen-induced cells proliferation was detected by CCK8 and colony formation analysis. The activation of JAK/STAT3 signal was examined by Western blotting and immunofluorescence. The anticancer effects of integrin α2β1 peptide were analyzed by Sao-2-bearing mice model.

Results

Our results implicated that type I collagen could facilitate malignant osteosarcoma development in patients. In vitro, 2D collagen culture also efficiently mediated the stemness up-regulation of osteosarcoma cells, resulting in the strengthened capability of cells proliferation and tumorigenesis. In mechanism, we found that type I collagen could facilitate the activation of JAK/STAT3 signals through integrin α2β1, which elicited tumor-sustained growth and cancer relapse. In tumor-bearing mice model, integrin α2β1 signals inhibitor significantly suppressed the osteosarcoma cells proliferation and their tumorigenic ability, which improved the outcome of chemotherapy/radiotherapy.

Conclusion

Our study demonstrated that type I collagen could mediate osteosarcoma development through an integrin α2β1/JAK/STAT3 signaling pathway. Blockade of integrin α2β1 by α2β1 inhibitor efficiently improved outcome of chemotherapy/radiotherapy, which provided new insights for eradicating tumors in clinic.

The role of extracelluar matrix in osteosarcoma progression and metastasis

Osteosarcoma (OS) is the most common primary bone malignancy and responsible for considerable morbidity and mortality due to its high rates of pulmonary metastasis. Although neoadjuvant chemotherapy has improved 5-year survival rates for patients with localized OS from 20% to over 65%, outcomes for those with metastasis remain dismal. In addition, therapeutic regimens have not significantly improved patient outcomes over the past four decades, and metastases remains a primary cause of death and obstacle in curative therapy. These limitations in care have given rise to numerous works focused on mechanisms and novel targets of OS pathogenesis, including tumor niche factors. OS is notable for its hallmark production of rich extracellular matrix (ECM) of osteoid that goes beyond simple physiological growth support. The aberrant signaling and structural components of the ECM are rich promoters of OS development, and very recent works have shown the specific pathogenic phenotypes induced by these macromolecules. Here we summarize the current developments outlining how the ECM contributes to OS progression and metastasis with supporting mechanisms. We also illustrate the potential of tumorigenic ECM elements as prognostic biomarkers and therapeutic targets in the evolving clinical management of OS.

Comprehensive Analysis of Key Genes and Regulatory Elements in Osteosarcoma Affected by Bone Matrix Mineral With Prognostic Values

Osteosarcoma is one of the most common types of bone sarcoma with a poor prognosis. However, genes involved in the mineral metabolism in the microenvironment of the bone affected by osteosarcoma are, to date, largely unknown. A public data series (GSE114237) was used to identify differentially expressed genes (DEGs) between osteosarcoma cells adhering to demineralized osseous surfaces and mineralized osseous surfaces. Functional enrichment analysis of DEGs and hub genes, protein-protein interaction network of DEGs and regulatory network (miRNA-mRNA network and transcription factor (TF)-mRNA network), survival analysis of hub genes was visualized. The prognostic hub genes were considered as candidate genes and their functional predictions were analyzed. A total of 207 DEGs were mainly enriched in extracellular space and thirteen hub genes were mainly enriched in the function of epithelial to mesenchymal transition. However, out of these, only one candidate gene was found to be suitable as a candidate gene. Besides that, 297 miRNAs and 349 TFs interacting with the hub genes were screened. In conclusion, the DEGs, hub genes, miRNAs and TFs screened out in this research could contribute to comprehend the latent mechanisms in osteosarcoma affected by matrix mineral and provide potential research molecular for further study.

Genetic Variant of NFIB is Associated With the Metastasis of Osteosarcoma in Chinese Population

Variant rs7034162 in NFIB was reported to be associated with metastasis of osteosarcoma in European cases with genome-wide significance. Our purpose was to replicate the association of rs7034162 with the metastasis of osteosarcoma in the Chinese population and to further characterize the expression level of NFIB in osteosarcoma tissues. A total of 321 patients were included in this study. Variant rs7034162 was genotyped for each patient using the Taqman genotyping assay. Fifty-two cases of tumor tissues and adjacent normal tissues were collected during surgery. The χ² test was used to investigate the association of rs7034162 with the metastasis of osteosarcoma. The Student t test was used to compare the gene expression between patients with metastasis and those without metastasis. The messenger RNA expression level of NFIB was then compared among different genotypes of rs7034162 with 1-way analysis of variance test. Ninety-three patients were found to have metastasis. Patients with genotype AA had remarkably higher incidence of metastasis than those with genotype TT (34.4% vs 17.1%, P = .002). Patients with metastasis were found to have significantly higher rate of allele A than those without metastasis (53.2% vs 43.9%, P = .03). The messenger RNA expression of NFIB was significantly lower in tumor tissues of patients with metastasis than in those without metastasis (0.00035 ± 0.00017 vs 0.00063 ± 0.0025, P < .001). Compared to patients with genotype TT, those with genotype AA had remarkably decreased expression of NFIB (0.00033 ± 0.0014 vs 0.00067 ± 0.00037, P = .01). Single-nucleotide polymorphism rs7034162 was associated with metastasis of osteosarcoma in the Chinese population possibly via downregulation of NFIB. Further network analyses revealing the related pathways can help elucidate the molecular mechanism of distant metastasis in patients with osteosarcoma.

Gene expression profiling revealed MCM3 to be a better marker than Ki67 in prognosis of invasive ductal breast carcinoma patients

Invasive ductal carcinoma (IDC) is the most common breast cancer. Our study used gene microarray data to select differentially expressed genes between normal and IDC mammary tissues. From these, we selected genes related to the proliferation of tumor cells and compared their prognostic value with known biomarker Ki67 for IDC. Analysis of publicly available Gene Expression Omnibus (GEO) data revealed 24 differentially expressed genes (DEGs) in normal and 31 DEGS in IDC tissues that were used for further analyses. Gene chip analysis software was used to identify DEGs. DEG profiles were confirmed using quantitative PCR (qPCR). DEG functions where shown to be related to cell proliferation. We confirmed MCM3 expression using immunohistochemical staining in 45 IDC patients. The relationship between MCM3 expression and survival was investigated using Kaplan-Meier survival curves and Cox proportional hazard regression models. A total of 1307 differentially expressed genes were identified between IDC and normal tissues, which were enriched in 32 Gene Ontology (GO) terms and 9 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. qPCR demonstrated that both COL1A1 and MCM3 were significantly up-regulated in IDC tissues, of which only MCM3 was related to cell proliferation. Ki67 is closely associated with the tumor grade, ER status, PR status and HER2 status, while MCM3 was shown to relate to tumor size, lymph node, and PR status. There was significant association between survival and MCM3, but not for Ki67. High MCM3 expression demonstrated statistically significant associations with poor prognosis in IDC patients. Findings from the gene microarray data analysis confirmed that MCM3 is associated with the response to cell proliferation. MCM3 represents a better proliferation marker than Ki67 making it a valuable prognostic tool that is independent of ER and HER2 status.

Prospects for the involvement of cancer stem cells in the pathogenesis of osteosarcoma

Osteosarcoma (OS) is one of the most common bone tumors in children and adolescents that cause a high rate of mortality in this age group and tends to be metastatic, in spite of chemotherapy and surgery. The main reason for this can be returned to a small group of malignant cells called cancer stem cells (CSCs). OS-CSCs play a key role in the resistance to treatment and relapse and metastasis through self-renewal and differentiation abilities. In this review, we intend to go through the different aspects of this malignant disease, including the cancer stem cell-phenotype, methods for isolating CSCs, signaling pathways, and molecular markers in this disease, and drugs showing resistance in treatment efforts of OS.

Differentially expressed genes ASPN, COL1A1, FN1, VCAN and MUC5AC are potential prognostic biomarkers for gastric cancer

Gastric cancer (GC) is one of the most common malignancies worldwide. To the best of our knowledge, no biomarkers have been widely accepted for the early diagnosis and prognostic prediction of GC. This study aimed to identify potential novel prognostic biomarkers for GC. The dataset GSE29272, which originates from the public database Gene Expression Omnibus, was employed in the present study. The online tool GEO2R was used to calculate the differentially expressed genes (DEGs) in GSE29272 between tumour tissues and adjacent tissues. CytoHubba and MCODE plugins of Cytoscape software were used to obtain hub genes and modules of DEGs. The online tools Database for Annotation, Visualisation and Integrated Discovery and Search Tool for the Retrieval of Interacting Genes were employed to conduct Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway analysis, and to construct protein-protein interaction networks. A total of 117 DEGs were extracted from GSE29272. In addition, 15 hub genes and seven modules were identified in the 117 DEGs. The enrichment analysis revealed that they were mainly enriched in GO biological process and cellular component domains, and the 'ECM-receptor interaction', 'focal adhesion', 'metabolism of xenobiotics by cytochrome P450' and 'drug metabolism' pathways. The hub genes asporin (ASPN), collagen type I α1 chain (COL1A1), fibronectin 1 (FN1), versican (VCAN) and mucin 5AC (MUC5AC) were demonstrated to have prognostic value for patients with GC. The ASPN and VCAN genes were significantly associated with overall survival and disease-free survival (log-rank P=0.025, 0.038, 0.0014 and 0.015, respectively). COL1A1 and FN1 were significantly associated with overall survival (log-rank P=0.013 and 0.05, respectively), and MUC5AC was significantly associated with disease-free survival (log-rank P=0.027). Results from the present study suggested that ASPN, COL1A1, FN1, VCAN and MUC5AC may represent novel prognostic biomarkers for GC.

Insights into the roles of miRNAs; miR-193 as one of small molecular silencer in osteosarcoma therapy

Today, cancer is one of the most common causes of death. Osteosarcoma (OS) is a tumor in long bones and its prevalence is high in teenagers and young people. Among the methods that used to treat cancer, one can name chemotherapy, surgery, and radiotherapy. Since these methods have some disadvantages and they are not absolutely successful, the use of microRNAs (miRNAs) is very useful in diagnosis and treatment of OS. MiRNAs are small non-coding RNA molecules, containing 18-25 nucleotides, which are involved in the regulation of gene expression via binding to messenger RNA (mRNA). These RNAs are divided into two classes of suppressors and oncogenes. During OS, there is aberrant expression of several miRNAs. Among these miRNAs are downregulation of miR-193 that has been associated with cancer occurrence. The aim of the current manuscript is to have overview on the treatment approaches of OS with special focus on miR-193.

A Bayesian Gene-Based Genome-Wide Association Study Analysis of Osteosarcoma Trio Data Using a Hierarchically Structured Prior

Osteosarcoma is considered to be the most common primary malignant bone cancer among children and young adults. Previous studies suggest growth spurts and height to be risk factors for osteosarcoma. However, studies on the genetic cause are still limited given the rare occurrence of the disease. In this study, we investigated in a family trio data set that is composed of 209 patients and their unaffected parents and conducted a genome-wide association study (GWAS) to identify genetic risk factors for osteosarcoma. We performed a Bayesian gene-based GWAS based on the single-nucleotide polymorphism (SNP)-level summary statistics obtained from a likelihood ratio test of the trio data, which uses a hierarchically structured prior that incorporates the SNP-gene hierarchical structure. The Bayesian approach has higher power than SNP-level GWAS analysis due to the reduced number of tests and is robust by accounting for the correlations between SNPs so that it borrows information across SNPs within a gene. We identified 217 genes that achieved genome-wide significance. Ingenuity pathway analysis of the gene set indicated that osteosarcoma is potentially related to TP53, estrogen receptor signaling, xenobiotic metabolism signaling, and RANK signaling in osteoclasts.

Genetic susceptibility to bone and soft tissue sarcomas: a field synopsis and meta-analysis

Background

The genetic architecture of bone and soft tissue sarcomas susceptibility is yet to be elucidated. We aimed to comprehensively collect and meta-analyze the current knowledge on genetic susceptibility in these rare tumors.

Methods

We conducted a systematic review and meta-analysis of the evidence on the association between DNA variation and risk of developing sarcomas through searching PubMed, The Cochrane Library, Scopus and Web of Science databases. To evaluate result credibility, summary evidence was graded according to the Venice criteria and false positive report probability (FPRP) was calculated to further validate result noteworthiness. Integrative analysis of genetic and eQTL (expression quantitative trait locus) data was coupled with network and pathway analysis to explore the hypothesis that specific cell functions are involved in sarcoma predisposition.

Results

We retrieved 90 eligible studies comprising 47,796 subjects (cases: 14,358, 30%) and investigating 1,126 polymorphisms involving 320 distinct genes. Meta-analysis identified 55 single nucleotide polymorphisms (SNPs) significantly associated with disease risk with a high (N=9), moderate (N=38) and low (N=8) level of evidence, findings being classified as noteworthy basically only when the level of evidence was high. The estimated joint population attributable risk for three independent SNPs (rs11599754 of ZNF365/EGR2, rs231775 of CTLA4, and rs454006 of PRKCG) was 37.2%. We also identified 53 SNPs significantly associated with sarcoma risk based on single studies.Pathway analysis enabled us to propose that sarcoma predisposition might be linked especially to germline variation of genes whose products are involved in the function of the DNA repair machinery.

Conclusions

We built the first knowledgebase on the evidence linking DNA variation to sarcomas susceptibility, which can be used to generate mechanistic hypotheses and inform future studies in this field of oncology.

Association of COL1A1 rs1800012 polymorphism with musculoskeletal degenerative diseases: a meta-analysis

It has been reported that the single nucleotide polymorphism (SNP) rs1800012 in COL1A1 gene might be linked to the susceptibility of musculoskeletal degenerative diseases, such as osteoarthritis (OA) and intervertebral disc degeneration (IVDD). However, the data from different studies is contradictory. Here we aimed to comprehensively summarize and clarify the relationship between the SNP and musculoskeletal degenerative diseases. Seven eligible studies including 1339 cases and 5406 controls were screened out from PubMed, Web Of Science and Cochrane library databases. Significant association was identified in sub group analysis of IVDD in homozygote model (GG versus TT: OR = 0.33, 95% CI 0.14–0.78, P = 0.012), heterozygote model (GT versus TT: OR = 0.29, 95% CI 0.11–0.72, P = 0.008) and dominant model (GG/GT versus TT: OR = 0.31, 95% CI 0.13–0.74, P = 0.008). Additionally, significant relationship was also found in sub group analysis of severe degree of IVDD in homozygote model (GG versus TT: OR = 0.37, 95% CI 0.15–0.91, P = 0.031), heterozygote model (GT versus TT: OR = 0.33, 95% CI 0.13–0.87,P = 0.024) and dominant model (GG/GT versus TT: OR = 0.36, 95% CI 0.14–0.88, P = 0.025). Although no significance was observed, there is a trend that the more G allele at COL1A1 rs1800012 site, the less possibility of IVDD and severe IVDD would happen. Our results indicate that COL1A1 rs1800012 polymorphism associates with the susceptibility of IVDD. However, this polymorphism may not be associated with OA risk.

Associations of polymorphisms in NAT2 gene with risk and metastasis of osteosarcoma in young Chinese population

Osteosarcoma is the most common primary malignancy of bone in young individuals. Genetic factors may play an important role in the tumorigenesis of osteosarcoma. Here we carried out a case-control study to investigate seven NAT2 single-nucleotide polymorphisms (rs1799929, rs120, rs1041983, rs1801280, rs1799930, rs1799931, and rs1801279) on the risk and prognosis of osteosarcoma. This study included 260 young osteosarcoma cases and 286 controls. The TaqMan method was used to determine genotypes. We found that rs1799931 G>A polymorphisms were associated with a decreased risk of osteosarcoma in young Chinese population, and rs1041983 CT genotype seemed to play a protective role in the risk of osteosarcoma. However, further analysis showed that rs1041983 polymorphisms were associated with an elevated risk of tumor metastasis, predicting poor prognosis. This study provided the first evidence for the associations between NAT2 polymorphisms and osteosarcoma risk and metastasis in Chinese population.

Role of five small nucleotide polymorphisms in the VEGF gene on the susceptibility to osteosarcoma and overall survival of patients

The present study aimed to investigate the association between five common small nucleotide polymorphisms (SNPs) in the VEGF gene and the risk of osteosarcoma. An additional aim was to investigate the role of these five SNPs on the prognosis of osteosarcoma. A total of 186 patients with osteosarcoma and 186 age- and sex-matched healthy controls were enrolled into the present study. A polymerase chain reaction-restriction fragment length polymorphism assay was conducted to determine the incidence of the VEGF-2578 C/A, -1156 G/A, +1612 G/A, +936 C/T and -634 G/C polymorphisms. Conditional logistic regression analyses revealed that individuals carrying the -634 GG genotype possessed a significantly increased risk of osteosarcoma, with an adjusted odds ratio [(95% confidence interval (CI)] of 2.00 (1.07-3.75). In the Cox proportional hazards model, subsequent to adjusting for potential confounding factors, patients with osteosarcoma carrying the -634 GG genotype were found to demonstrate a shorter overall survival time (hazard ratio, 3.10; 95% CI, 1.17-8.38). The VEGF-634 G/C polymorphism may therefore be used as a genetic marker for the prediction of the risk and clinical outcome of osteosarcoma.

Polymorphisms in miRNA processing genes and their role in osteosarcoma risk

BACKGROUND

The possible associations between genetic variants and osteosarcoma risk have been analyzed without conclusive results. Those studies were focused mainly on genes of biologically plausible pathways. However, recently, another pathway has acquired relevance in cellular transformation and tumorigenesis, the microRNA (miRNA) processing pathway. Dysregulation of the expression levels of genes in this pathway has been described in cancer. Consequently, single nucleotide polymorphisms (SNPs) in genes that codify for proteins involved in the miRNA processing pathway may affect miRNAs, and therefore their target genes, which might be associated with cancer development and progression. The aim of this study was to evaluate whether SNPs in miRNA processing genes confer predisposition to osteosarcoma.

PROCEDURE

We analyzed 72 SNPs in 21 miRNA processing genes in a total of 99 osteosarcoma patients and 387 controls.

RESULTS

A total of three SNPs were associated with osteosarcoma susceptibility. Interestingly, these SNPs were located in miRNA processing genes (CNOT1, CNOT4 and SND1) which are part of the RISC complex. Among them, the association of rs11866002 in CNOT1 was nearly significant after Bonferroni correction.

CONCLUSIONS

This study suggests that SNPs in RISC complex genes may be involved in osteosarcoma susceptibility, especially rs11866002 in CNOT1.

Genetic polymorphisms of interleukin-1 beta and osteosarcoma risk

PURPOSE

Osteosarcoma is the most common childhood bone cancer. Interleukin-1 beta (IL-1B) is crucially involved in osteosarcoma carcinogenesis. Whether genetic polymorphisms of IL-1B also influence osteosarcoma risk is unknown. The aim of this study was to investigate the association between IL-1B gene polymorphisms and osteosarcoma risk in Chinese Han patients.

METHODS

A hospital-based case-control study involving 120 osteosarcoma patients and 120 controls was conducted. Polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) analysis was performed to detect three IL-1B gene polymorphisms (-31 T/C, -511 C/T and +3954 C/T) in these patients.

RESULTS

Patients with osteosarcoma had a significantly lower frequency of -31 CC genotype [odds ratio (OR) = 0.40, 95% confidence interval (CI) = 0.17-0.92; P = 0.03] and -31 C allele (OR = 0.67, 95% CI = 0.46-0.99; P = 0.04) than controls. Patients with osteosarcoma had a significantly lower frequency of -511 TT genotype (OR = 0.40, 95% CI = 0.17-0.95; P = 0.04) than controls. The +3954 C/T gene polymorphisms were not associated with a risk of osteosarcoma. When stratified by Enneking stage, tumour location, histological type, tumour metastasis of osteosarcoma and family history of cancer, no statistically significant results were found.

CONCLUSIONS

This is the first study to provide evidence for an association of IL-1B gene polymorphisms with osteosarcoma risk.

Association of the vascular endothelial growth factor (VEGF) gene single-nucleotide polymorphisms with osteosarcoma susceptibility in a Chinese population

Osteosarcoma (OS) is the most common bone malignancy worldwide. The vascular endothelial growth factor (VEGF) gene plays an important role in the pathogenesis of OS. The objective of this study aimed to detect the potential association between VEGF genetic polymorphisms and OS susceptibility in Chinese Han population. We recruited 330 OS patients and 342 cancer-free controls in this case-control study. Three single-nucleotide polymorphisms (SNPs) (-634 G > C, +936 C > T, and +1612 G > A) of the VEGF gene were investigated by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method and confirmed by direct DNA sequencing. Among these SNPs, we found that the genotypes/alleles of +936 C > T were statistically associated with the increased risk of OS (TT versus (vs.) CC: OR = 2.70, 95% CI 1.34-5.45, χ(2) = 8.2271, p = 0.0041; T vs. C: OR = 1.31, 95% CI 1.02-1.68, χ(2) = 4.3861, p = 0.0362). The T allele and TT genotype of +936 C > T could be factors that increase the risk for susceptibility to OS. The results from this study suggest that VEGF genetic variants are potentially related to OS susceptibility in Chinese Han population and might be used as molecular markers for assessing OS susceptibility.

Association of RECQL5 gene polymorphisms and osteosarcoma in a Chinese Han population

Despite the knowledge on many genetic variants present in osteosarcoma, the complexity of this disease precludes placing its biology into a simple conceptual framework. RECQL is a DNA helicase involved in DNA mismatch repair and has been reported to be associated with many human cancers. We aimed to investigate the association of RECQL genetic polymorphism with osteosarcoma in a Chinese population. We selected three polymorphisms of the RECQL5 gene (rs820196, rs820200, and rs4789223) in the present study. TaqMan method was utilized for genotyping these three SNPs in 212 patients with osteosarcoma and 240 age- and sex-matched noncancer controls. In our study, we found that CC genotype in rs820196 (17.5 vs 8.3%, P = 0.005) and AA genotype in rs4789223 (21.7 vs 14.2, P < 0.001) were more frequent in osteosarcoma group compared to the control group, respectively. We also found that the C allele of rs820196 (OR = 1.492, 95% CI 1.138 ∼ 1.951; P = 0.004) and A allele of rs4789223 (OR = 1.767, 95% CI: 1.354 ∼ 2.301; P < 0.001) were common in the osteosarcoma patients than those in the control subjects, respectively. Haplotype analysis showed that TTA (OR = 3.469, 95% CI 1.798 ∼ 6.695; P < 0.001) was associated with increased risk for osteosarcoma. However, the TTG (OR = 0.578, 95% CI 0.442 ∼ 0.756) was associated with decreased risk for osteosarcoma. Our results suggested that RECQL5 genetic polymorphisms were associated with osteosarcoma in a Chinese population.