Various diseases increasingly challenge the health status and life quality of human beings. Volatolome emitted from patients has been considered as a potential family of markers, volatolomics, for diagnosis/screening. There are two fundamental issues of volatolomics in healthcare. On one hand, the solid relationship between the volatolome and specific diseases needs to be clarified and verified. On the other hand, effective methods should be explored for the precise detection of volatolome. Several comprehensive review articles had been published in this field. However, a timely and systematical summary and elaboration is still desired. In this review article, the research methodology of volatolomics in healthcare is critically considered and given out, at first. Then, the sets of volatolome according to specific diseases through different body sources and the analytical instruments for their identifications are systematically summarized. Thirdly, the advanced electronic nose and photonic nose technologies for volatile organic compounds (VOCs) detection are well introduced. The existed obstacles and future perspectives are deeply thought and discussed. This article could give a good guidance to researchers in this interdisciplinary field, not only understanding the cutting-edge detection technologies for doctors (medicinal background), but also making reference to clarify the choice of aimed VOCs during the sensor research for chemists, materials scientists, electronics engineers, etc.

Objective: To evaluate and understand the prevalence of HPV genotypes and characteristics of female populations in specific areas and the relationship with cervical lesions, which can effectively guide cervical cancer screening and formulate HPV vaccine prevention strategies. Methods: A total of 77,443 women who visited gynecological clinics and underwent health examinations in the Second Affiliated Hospital of Zhejiang University School of Medicine during 2016–2020 were enrolled in this survey. Cervical samples were collected for HPV DNA genotyping and cervical cytology testing. Cervical biopsies were performed for patients with visible cervical abnormality or abnormal cytological results. Results: The results showed the 5-year overall positive rate was 22.3%, of which the gynecology clinic group had significantly more positive results compared with the health examination group (P < 0.001). The five most common genotypes in Zhejiang Province were HPV 52, 58, CP8304, 16, and 51 (23.9%, 12.7%, 11.7%, 11.7% and 9.3%). HPV infection was age-specific, with the highest infection rate in the age group ≤ 20 compared to other age groups (P < 0.001). HPV infection was also season-specific, with the highest infection rate in spring or winter. The main HPV infection mode was single infection (P = 0.004), but patients ≤ 20 years old were more likely to develop multiple infections (51.0%). HPV 16, 52 and 58 were the main genotypes that caused cytological abnormalities and HPV16, 18, 56, 58 and 66 were independent risk factors for cervical lesions (OR = 2.352, 1.567, 2.000, 1.694, 1.889; all P < 0.05). Further analysis found HPV 16 and 18 were the main genotypes that cause cervical cancer histological abnormalities and were independent risk factors for cervical cancer (OR = 5.647, P < 0.001; OR = 3.495, P = 0.036). Conclusion: This article analyzed the prevalence of distribution characteristics of HPV infection and revealed the corelation between HPV infection and cytological and histological abnormalities. Comprehensive results of this survey will help Zhejiang Province to formulate public health policies and provide evidence for future selection of specific HPV vaccines.

Background: An emerging prediction tool, the Controlling Nutritional Status (CONUT) score, has shown good assessment ability of postoperative outcomes in cancer patients. This study evaluated the role of the preoperative CONUT score regarding the short-term outcomes of gastric cancer (GC) after laparoscopic gastrectomy. Methods: Three hundred and nine GC patients undergoing laparoscopic gastrectomy from January 2016 to June 2019 were analysed, retrospectively. The patients were divided into two groups according to the CONUT optimal cut-off value. Clinical characteristics and postoperative complications in the two groups were analysed and evaluated. Risk factors for complications were identified by univariate and multivariate analyses. Results: A total of 309 patients underwent laparoscopic gastrectomy; 91 (29.4%) patients experienced postoperative complications. The preoperative CONUT score showed a good predictive ability for postoperative complications (area under the curve (AUC) = 0.718, Youden index = 0.343) compared with other indices, with an optimal cut-off value of 2.5. Patients with high CONUT score had a significantly higher incidence of overall complications (P < 0.001). Age, haemoglobin, C-reactive protein, red blood cell levels, CONUT scores, surgical procedure type, T1, T4, N0 and N3 pathological TNM classification, and pathological stages of I and III were associated with postoperative complications (P < 0.05). Furthermore, the preoperative CONUT score was identified as an independent risk predictor of postoperative complications (P = 0.012; OR = 2.433; 95% CI, 1.218-4.862) after multivariate analysis. Conclusions: The preoperative CONUT score is a practical nutritional assessment for predicting short-term outcomes in GC patients after laparoscopy-assisted gastrectomy.

Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy characterized by early liver metastasis and high mortality. The tumor microenvironment plays a pivotal role in tumor progression; however, the immune microenvironment's involvement in PDAC liver metastasis remains poorly understood.

Background: As a negative co-stimulatory molecule of the B7 family, B7-H4 has recently attracted increased attention. However, the clinical value of B7-H4 in colorectal cancer (CRC) remains controversial and requires further investigation. This study aimed to investigate the role of B7-H4 in the clinical diagnosis and survival prognosis of CRC. Methods: The relationships between B7-H4 expression, immune cell infiltration, epithelial-mesenchymal transition (EMT), clinicopathological features, and survival prognosis were determined through the TCGA database and verified in a large CRC cohort (n = 1118). Results: The results showed the level of B7-H4 mRNA expression was significantly increased in the CRC tumor tissues compared with normal tissues (P < 0.001). Immunohistochemistry showed that B7-H4 protein expression was also up-regulated in CRC. The positive rate of B7-H4 in CRC tumor tissues was 76.38%, which was significantly higher than that in non-tumor tissues (P < 0.001). Overexpression of B7-H4 was positively correlated with lymph node metastasis, advanced TNM stage, and poor tumor differentiation (P = 0.012; 0.009; 0.014). Prognostic analysis showed high B7-H4 expression was associated with significantly shorter OS. Multivariate analysis demonstrated the risk of death in CRC patients with high B7-H4 expression is 1.487 times that of low B7-H4 expression. In addition, B7-H4 expression was negatively correlated with the epithelial marker E-cadherin (P < 0.001) and positively correlated with the mesenchymal marker vimentin (P < 0.001) in CRC tissues. However, B7-H4 expression was not associated with the immunosuppressive microenvironment in CRC. Conclusion: B7-H4 may represent a potential biomarker for the diagnosis and prognosis of CRC and enhance CRC invasion by promoting EMT.