Objective:To explore the value of quantitative parameters of dynamic contrast-enhanced MRI(DCE-MRI) in evaluating the biological behavior of soft tissue tumors.Methods:The clinical data of 69 patients with soft tissue tumors confirmed by pathology in the Affiliated Hospital of Qingdao University from January 2017 to December 2019 were analyzed retrospectively, including 29 benign tumors and 40 malignant tumors. All patients were examined by routine MRI and DCE-MRI before the operation. The DCE-MRI parameters including volume transfer constant (K trans), rate constant (K ep) and extracellular space volume fraction (V e) were acquired by post-processing software analysis. Microvessel density (MVD) and Ki-67 labeling index (Ki-67 LI) were detected using immunohistoche mical method. Spearman correlation test was used to analyze the correlation between DCE-MRI quantitative parameters and MVD and Ki-67 LI.Independent sample t-test or Mann-Whitney U test was used to compare the difference of parameters between benign and malignant group, and the receiver operating characteristic (ROC) curves were performed to evaluate the diagnostic value. Results:There was positive correlation between K trans, K ep and MVD ( r=0.633, 0.727, P<0.0l), and positive correlation between K trans, K ep and Ki-67 LI ( r=0.557, 0.612, P<0.01). There was no correlation between V e and MVD, Ki-67 LI ( P>0.05). The K trans, K ep, MVD and Ki-67 LI in the malignant group were higher than those in the benign group, and the differences were significant ( P<0.05).There was no significant difference in V e value between malignant group and benign group. When K trans value of 0.169/min was used, the sensitivity, specificity and area under the ROC curve (AUC) for differentiating benign and malignant soft tissue tumors were 84.6%, 85.8% and 0.859, respectively. When K ep value of 0.367/min was used, the sensitivity, specificity and AUC were 92.3%, 83.3% and 0.846, respectively. Conclusion:The DCE-MRI quantitative parameters K trans and K ep can be used to evaluate the biological behavior of soft tissue tumors.

Objective:To screen key differentially expressed genes(DEGs)in dead mice with sepsis by spleen high-through-put sequencing combined with bioinformatics.Methods:①A mouse sepsis model was set up by intraperitoneal injection of lipopolysac-charide(LPS),a 7-day survival curve of mice was drawn,and the modeling doses of survival group and death group were screened out.②Expressions of TNF-α,IL-1β,IL-6 and IL-10 in peripheral blood of mice in control group,survival group and death group were verified by ELISA.③High-throughput sequencing was conducted on spleens of survival group and death group,and the key genes were screened by bioinformatics analysis of DEGs.④Expressions of key genes and proteins were detected by RT-PCR and Western blot.Results:①LPS dosage in survival group was 15 mg/kg(with a mortality of 30%),and LPS dosage in death group was 30 mg/kg(with a mortality of 80%).②Expression levels of IL-6,TNF-α and IL-1β in sepsis mice were significantly higher than those of control group,while expression level of IL-10 was decreased(P<0.05).Comparison of sepsis model groups showed that levels of pro-inflammatory factors in death group were higher than those in survival group,while level of IL-10 was lower than that in survival group(P<0.05).③A total of 2999 DEGs in survival group and death group were screened out by bioinformatics,among which 1185 genes were up-regulated and 1814 genes were down-regulated.Top 5 DEGs enrichment pathways were screened out:"hematopoietic cell lineage""primary immunodeficiency""African trypanosomiasis""leishmaniasis"and"B-cell receptor signaling pathway".Ifit1,Ifit3 and Mx1 were three key genes that were screened out.④Compared with survival group,expressions of genes and proteins of Ifit1,Ifit3 and Mx1 were down-regulated in spleen tissues of the death group(P<0.05).Conclusion:By high-throughput sequencing and bioinformatics,Ifit1,Ifit3 and Mx1 are screened out as key genes related to the death outcome of sepsis,which probably influence the outcome of sepsis through the immune mechanism related to virus infection.

Genomic instability remains an enabling feature of cancer and promotes malignant transformation. Alterations of DNA damage response (DDR) pathways allow genomic instability, generate neoantigens, upregulate the expression of programmed death ligand 1 (PD-L1) and interact with signaling such as cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) signaling. Here, we review the basic knowledge of DDR pathways, mechanisms of genomic instability induced by DDR alterations, impacts of DDR alterations on immune system, and the potential applications of DDR alterations as biomarkers and therapeutic targets in cancer immunotherapy.

Non-small cell lung cancer (NSCLC) is the most common pathological type of lung cancer. The systemic antitumor therapy of advanced NSCLC has undergone renovations of chemotherapy, targeted therapy and immunotherapy, which results in greatly improved survival for patients with advanced NSCLC. Immune checkpoint inhibitors (ICIs), especially targeting programmed cell death protein 1 (PD-1)/programmed death-ligand 1 (PD-L1), has changed the treatment paradigm of NSCLC. ICIs have become the standard treatment for advanced NSCLC without epidermal growth factor receptor(EGFR) mutation or anaplastic lymphomakinase(ALK) translocation in the first- or second-line setting, and for locally advanced NSCLC following concurrent radiotherapy and chemotherapy. ICIs are also promising in adjuvant/neoadjuvant therapy. More and more ICIs have been approved domestically for the treatment of NSCLC. Led by the NSCLC expert committee of Chinese Society of Clinical Oncology (CSCO), this consensus was developed and updated based on thoroughly reviewing domestic and foreign literatures, clinical trial data, systematic reviews, experts' discussion and the consensus(2019 version). This consensus will aid domestic clinicians in the treatment of NSCLC with ICIs.
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