Background:To verify whether the concentrations and integrity index of circulating cell-free DNA (ccf-DNA) in serum may be clinically useful for the diagnosis and progression monitoring of colorectal cancer (CRC) patients.Methods:Serum samples were collected from 104 with primary CRC, 85 with operated CRC, 16 with recurrent/metastatic CRC, 63 patients with intestinal polyps and 110 normal controls. Long (247 bp) and short (115 bp) DNA fragments in serum were detected by real-time quantitative PCR by amplifying the ALU repeats (ALU-qPCR). Serum carcinoembryonic antigen (CEA) level was detected by ARCHITECT assay.Results:The median absolute serum ALU115 and ALU247/115 in primary CRC group was significantly higher than those in intestinal polyp and normal control groups (both P<0.0001), in recurrent/metastatic CRC was significantly higher compared with primary CRC (P=0.0021, P=0.0018) or operated CRC (P<0.0001, respectively) and during follow-up, ALU115 and ALU247/115 were increased before surgery and decreased significantly after surgery.Conclusions:Combined detection of ALU115, ALU247/115 and CEA could improve the diagnostic efficiency for CRC. Serum DNA concentrations and integrity index may be valuable in early complementary diagnosis and monitoring of progression and prognosis of CRC.

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Long non-coding RNAs (lncRNAs) have recently emerged as vital players in tumor biology with potential value in cancer diagnosis, prognosis, and therapeutics. The lncRNA HULC (highly up-regulated in liver cancer) is increased in many malignancies, yet its serum expression profile and clinical value in gastric cancer (GC) patients remain unclear. Quantitative real-time polymerase chain reaction (RT-qPCR) for large-scale analysis of the serum expression of HULC in GC patients reliably detected circulating HULC and revealed that it is upregulated in GC patients. A high serum HULC level correlated with tumor size, lymph node metastasis, distant metastasis, tumor-node-metastasis stage, and H. pylori infection. The area under the ROC curve for HULC was up to 0.888, which was higher than that for CEA (0.694) and CA72-4 (0.514). Follow-up detection and Kaplan-Meier curve analysis revealed HULC is a good predictor of GC prognosis. Our present study indicates that circulating HULC may represent a novel serum tumor marker for early diagnosis and monitoring progression and prognosis of GC.

The expression levels of serum PCAT-1 in MM patients were significantly higher than that in healthy controls, suggesting that it may be useful in the auxiliary diagnosis of MM.

Radiotherapy, chemotherapy, autologous/allogeneic stem cell transplantation, and targeted drug therapy are currently available therapeutic options for multiple myeloma (MM), but the clinical outcome remains unsatisfactory owing to frequent occurrence of drug resistance. Anti apoptosis is one of the main mechanisms to mediate drug resistance. Studies have shown that MCL-1 plays a key role in the growth of cancer cells “escaping” drug attacks, but the underlying mechanism remains unclear. Our previous study demonstrated that lncRNA H19 was highly expressed in the serum of MM patients. Bioinformatics predicts that miR-29b-3p is the downstream target gene, and MCL-1 is the downstream target protein of miR-29b-3p. Therefore, we speculated that MCL-1 may be involved in the occurrence of drug resistance through epigenetics. On the basis of these previous findings, the present study was intended to explore the biological function of H19, interactions between the downstream target genes, and the effect of H19 on BTZ resistance of myeloma cells. In addition, in vivo experiments we have also confirmed that H19 promoted tumor growth and may develop resistance to bortezomib partly. It was found that H19 reduced cell sensitivity to the chemotherapeutic drug BTZ by working as a miRNA sponge to inhibit the expression of miR-29b-3p, enhance MCL-1 transcriptional translation and inhibit apoptosis. These findings may help gain insights into the molecular mechanism of acquired BTZ resistance and develop new drug targets for the clinical treatment of MM.

Background Colorectal cancer (CRC) is one of the most common malignant tumors. In the present study, the expression profile of human multistage colorectal mucosa tissues, including healthy, adenoma, and adenocarcinoma samples was downloaded to identify critical genes and potential drugs in CRC. Methods Expression profiles, GSE33113 and GSE44076, were integrated using bioinformatics methods. Differentially expressed genes (DEGs) were analyzed by R language. Functional enrichment analyses of the DEGs were performed using the Database for Annotation, visualization, and integrated discovery (DAVID) database. Then, the search tool for the retrieval of interacting genes (STRING) database and Cytoscape were used to construct a protein–protein interaction (PPI) network and identify hub genes. Subsequently, survival analysis was performed among the key genes using Gene Expression Profiling Interactive Analysis (GEPIA). Connectivity Map (CMap) was used to query potential drugs for CRC. Results A total of 428 upregulated genes and 751 downregulated genes in CRC were identified. The functional changes of these DEGs were mainly associated with cell cycle, oocyte meiosis, DNA replication, p53 signaling pathway, and progesterone‐mediated oocyte maturation. A PPI network was identified by STRING with 482 nodes and 2,368 edges. Survival analysis revealed that high mRNA expression of AURKA, CCNB1, CCNF, and EXO1 was significantly associated with longer overall survival. Moreover, CMap predicted a panel of small molecules as possible adjuvant drugs to treat CRC. Conclusion Our study found key dysregulated genes involved in CRC and potential drugs to combat it, which may provide novel insights and potential biomarkers for prognosis, as well as providing new CRC treatments.

Bone marrow stromal cells (BMSCs) up-regulate B cell-activating factor (BAFF) in multiple myeloma. Increasing experimental evidence has shown that microRNAs play a causal role in hematology tumorigenesis. In this study, we characterized the role of miR-202 in regulating the expression of BAFF in BMSCs. It was found that expressions of BAFF mRNA and protein were increased in BMSCs treated with miR-202 inhibitor. The growth rate of miR-202 mimics transfection cells was significantly lower than that of non-transfected cells. The expression of Bcl-2 protein was down-regulated, and Bax protein was up-regulated after miR-202 mimics transfection. Over-expression of miR-202 in BMSCs rendered MM cells more sensitive to bortezomib. More significantly, the regulatory effect of miR-202 could inhibit the activation of NF-κB pathway in BMSCs. These results suggest that miR-202 functions as a modulator that can negatively regulate BAFF by inhibiting MM cell survival, growth, and adhesion in the bone marrow microenvironment.

Epithelium ovarian cancer (EOC) is currently the prevalent malignant cancer worldwide. However, there is a lack of efficient biomarkers for EOC screening. Accumulating evidence reveals that serum miRNA detectable in various types of cancer. Therefore, we explore the diagnostic value of combined detection of plasma miR-193a-5p, HE4 and CA125 for EOC. Serum samples were collected from 45 patients with primary EOC, 30 patients with benign ovarian tumor patients and 40 healthy controls. The expression of serum miR-193a-5p was detected by real-time quantitative PCR, and serum HE4 and CA125 were detected by chemiluminescent immunoassay. Moreover, a diagnostic model combining miR-193a-5p, HE4 and CA125 or alone in EOC patients was evaluated by ROC curve analysis. The relative expression quantity (RQ) of serum miR-193a-5p in EOC patients, benign ovarian tumor patients and healthy control groups were 0.419 (0.093, 2.215), 3.667 (1.633, 6.691) and 1.130 (1.000, 7.087), respectively. The RQ of serum miR-193a-5p in EOC patients was significantly lower than that in benign ovarian tumor patients and healthy controls (both P < 0.001), and there was no significant difference between benign ovarian tumor patients and healthy controls (both P > 0.05). There was no significant correlation between serum miR-193-5p, HE4 and CA125 levels (both P > 0.05). Additionally a risk model for miR-193a-5p, HE4 and CA125 was correlated with Grading and Lymph node metastasis (P = 0.016, P = 0.029). The area under the receiver operating characteristic curve of a risk model for distinguishing EOC patients from healthy individuals was 0.996, which higher than any single biomarker. Combined detection of miR-193-5p, HE4 and CA125 by logistic regression analysis could greatly improved the diagnostic ability of EOC and may prove to be a candidate biomarker, providing new directions for further investigation.