As there are millions of cancer deaths every year, it is of great value to identify applicable prognostic biomarkers. As an important alarm, the prognostic role of high mobility group box 1 (HMGB1) in cancer remains controversial. We aim to assess the association of HMGB1 expression with prognosis in cancer patients. Systematic literature searches of PubMed, Embase and Web of Science databases were performed for eligible studies of HMGB1 as prognostic factor in cancer. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to evaluate the influence of HMGB1 expression on overall survival (OS) and progression-free survival (PFS) in cancer patients. 18 studies involving 11 different tumor types were included in meta-analysis. HMGB1 overexpression was significantly associated with poorer OS (HR: 1.99; 95% CI, 1.71-2.31) and PFS (HR: 2.26; 95% CI, 1.65-3.10) irrespective of cancer types including gastric cancer, colorectal cancer, hepatocellular carcinoma, pancreatic cancer, nasopharyngeal carcinoma, head and neck squamous-cell carcinoma, esophageal cancer, malignant pleural mesothelioma, bladder cancer, prostate cancer, and cervical carcinoma. Subgroup analyses indicated geographical area and size of studies did not affect the prognostic effects of HMGB1 for OS. Morever, HMGB1 overexpression had a consistent correlation with poorer OS when detected by immunohistochemistry in tissues and enzyme-linked immunosorbent assay in serum, whereas the correlation did not exist by quantitative real-time reverse-transcription polymerase chain reaction in tissues. HMGB1 overexpression is associated with poorer prognosis in patients with various types of cancer, suggesting that it is a prognostic factor and potential biomarker for survival in cancer.

This meta-analysis indicated that HER2 expression is associated with poor prognosis. Thus, HER2 could serve as a useful biomarker for clinical prediction.

Synergistic photothermal immunotherapy has captured great attention owing to the mutually strengthening therapeutic outcomes towards both original tumors and abscopal tumors. Herein, a versatile theranostic agent displaying aggregation‐induced emission, namely TPA‐BT‐DPTQ, was designed and prepared based on benzo[c]thiophene unit as a building block; it can be used for simultaneous fluorescence imaging (FLI) in the second near‐infrared (NIR‐II) window, photoacoustic imaging (PAI), photothermal imaging (PTI), and thermal eradication of tumors. Further experiments validate that photothermal therapy (PTT) mediated by TPA‐BT‐DPTQ nanoparticles not only destroys the primary tumor but also enhances immunogenicity for further suppressing the growth of tumors at distant sites. Furthermore, PTT combining a programmed death‐ligand 1 (PD‐L1) antibody prevents the metastasis and recurrence of cancer by potentiating the effect of immunotherapy.

The prognosis of bladder urothelial carcinoma (BLCA) varies greatly even for patients with similar pathological characteristics. We conducted transcriptome sequencing on ten pairs of BLCA samples and adjacent normal tissues to identify differentially expressed genes. Anillin (ANLN) was identified as a transcript that was significantly up-regulated in BLCA samples compared with normal tissues. Prognostic power of candidate gene was studied using qRT-PCR and immunohistochemistry on 40 and 209 patients, respectively. Patients with elevated ANLN expression level was correlated with poorer cancer-specific (median, 22.4 vs. 37.3 months, p = 0.001), progression-free (median, 19.7 vs. 27.9 months, p = 0.001) and recurrence-free survival (median, 17.1 vs. 25.2 months, p = 0.011) compared with low ANLN expression. Public datasets TCGA and NCBI-GEO were analyzed for external validation. Knockdown of ANLN in J82 and 5637 cells using small interfering RNA significantly inhibited cell proliferation, migration, and invasion ability. Moreover, knockdown of ANLN resulted in G2/M phase arrest and decreased expression of cyclin B1 and D1. Microarray analysis suggested that ANLN played a major role in cell migration and was closely associated with several cancer-related signaling pathways. In conclusion, ANLN was identified as a promising prognostic biomarker which could be used to stratify different risks of BLCA.

Bladder cancer (BC) is a fatal malignancy with considerable mortality. BC urinary metabolomics has been extensively investigated for biomarker discovery, but few BC blood metabolomic studies have been performed. Hence, a plasma pseudotargeted metabolomic method based on gas chromatography-mass spectrometry with selected ion monitoring (GC-MS-SIM) was developed to study metabolic alterations in BC. The analytical performance of the developed method was compared with that of a nontargeted method. The relative standard deviation (RSD) values of 89 and 70.7 % of the peaks obtained using the pseudotargeted and nontargeted methods, respectively, were less than 20 %. The Pearson correlations of 90.7 and 78.3 % of the peaks obtained using the pseudotargeted and nontargeted methods, respectively, exceeded 0.90 in the linearity evaluation. Compared with the nontargeted method, the signal-to-noise ratios (S/N) of 97.9 and 69.3 % of the peaks increased two- and fivefold, respectively. The developed method was fully validated, with good precision, recovery, and stability of the trimethylsilyl (TMS) derivatives. The method was applied to investigate BC. Significant increases in the contents of metabolites involved in, for example, the pentose phosphate pathway (PPP) and nucleotide and fatty acid synthesis were found in the high-grade (HG) BC group compared to the healthy control (HC) group. These differences imply that the activated PPP may regulate BC cell proliferation by promoting lipid and nucleotide biosynthesis and the detoxification of reactive oxygen species (ROS). These results illustrate that the plasma pseudotargeted method is a powerful tool for metabolic profiling. Graphical abstract The plasma pseudotargeted metabolic profiling suggested the metabolic alterations in bladder cancer (BC) and the significantly differential metabolites for BC discrimination.

RIRS offers a relative higher SFR while it has a longer operative time. PCNL is associated with the highest SFR at the expense of the longest hospital stay. SWL is performed as an outpatient procedure with a relative shorter operative time; however, it has lower a SFR and higher re-treatment rate. The categories of complications vary while the overall complication rates are comparable among the three treatment techniques.

Noninvasive biomarkers have been developed to predict hepatitis B virus (HBV)-related fibrosis owing to the significant limitations of liver biopsy. Those biomarkers were initially derived from evaluation of hepatitis C virus (HCV)-related fibrosis, and their accuracy among HBV-infected patients was under constant debate. A systematic review was conducted on records in PubMed, EMBASE and the Cochrane Library electronic databases, up until April 1st, 2013, in order to systematically assess the effectiveness and accuracy of these biomarkers for predicting HBV-related fibrosis. The questionnaire for quality assessment of diagnostic accuracy studies (QUADAS) was used. Out of 115 articles evaluated for eligibility, 79 studies satisfied the pre-determined inclusion criteria for meta-analysis. Eventually, our final data set for the meta-analysis contained 30 studies. The areas under the SROC curve for APRI, FIB-4, and FibroTest of significant fibrosis were 0.77, 0.75, and 0.84, respectively. For cirrhosis, the areas under the SROC curve for APRI, FIB-4 and FibroTest were 0.75, 0.87, and 0.90, respectively. The heterogeneity of FIB-4 and FibroTest were not statistically significant. The heterogeneity of APRI for detecting significant fibrosis was affected by median age (P = 0.0211), and for cirrhosis was affected by etiology (P = 0.0159). Based on the analysis we claim that FibroTest has excellent diagnostic accuracy for identification of HBV-related significant fibrosis and cirrhosis. FIB-4 has modest benefits and may be suitable for wider scope implementation.

Bladder cancer (BC) is the second most prevalent malignancy in the urinary system and is associated with significant mortality; thus, there is an urgent need for novel noninvasive diagnostic biomarkers. A urinary pseudotargeted method based on gas chromatography–mass spectrometry was developed and validated for a BC metabolomics study. The method exhibited good repeatability, intraday and interday precision, linearity and metabolome coverage. A total of 76 differential metabolites were defined in the discovery sample set, 58 of which were verified using an independent validation urine set. The verified differential metabolites revealed that energy metabolism, anabolic metabolism and cell redox states were disordered in BC. Based on a binary logistic regression analysis, a four-biomarker panel was defined for the diagnosis of BC. The area under the receiving operator characteristic curve was 0.885 with 88.0% sensitivity and 85.7% specificity in the discovery set and 0.804 with 78.0% sensitivity and 70.3% specificity in the validation set. The combinatorial biomarker panel was also useful for the early diagnosis of BC. This approach can be used to discriminate non-muscle invasive and low-grade BCs from healthy controls with satisfactory sensitivity and specificity. The results show that the developed urinary metabolomics method can be employed to effectively screen noninvasive biomarkers.