Peripheral immunological features of COVID-19 patients in Taizhou, China: A retrospective study.

BACKGROUND: Abnormal peripheral immunological features are associated with the progression of coronavirus disease 2019 (COVID-19). METHODS: Clinical and laboratory data were retrieved in a cohort of 146 laboratory-confirmed COVID-19 patients. Potential risk factors for the development of severe COVID-19 were evaluated. RESULTS: On admission, lymphocytes, CD3+, CD4+ and CD8+ T cells, eosinophils, and albumin and pre-albumin were dramatically lower, whereas neutrophils, and interleukin (IL)-10, C-reactive protein (CRP), aspartate aminotransferase (AST) and gamma-glutamyltransferase (GGT) were significantly higher in severe cases. By the second week after discharge, all variables improved to normal levels. Covariate logistic regression results showed that the CD8+ cell count and CRP level were independent risk factors for severe COVID-19. CONCLUSION: Lower peripheral immune cell subsets in patients with severe disease recovered to normal levels as early as the second week after discharge. CD8+ T cell counts and CRP levels on admission are independent predictive factors for severe COVID-19.

Early Risk Factors for the Duration of Severe Acute Respiratory Syndrome Coronavirus 2 Viral Positivity in Patients With Coronavirus Disease 2019.

BACKGROUND: Pneumonia coronavirus disease 2019 (COVID-19) has became a pandemic. However, information on early risk factors for the duration of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral positivity is not yet available. METHODS: In this prospective study, a cohort of 137 patients with confirmed SARS-CoV-2 were enrolled. Clinical information and laboratory data were retrieved from electronic medical records. Viral positivity duration was calculated by the interval from the day of confirmed SARS-CoV-2 positive results to the day SARS-CoV-2 testing showed negative results in these 137 patients with COVID-19. Early risk factors for the duration of SARS-CoV-2 viral positivity were evaluated. RESULTS: The median SARS-CoV-2 viral positivity duration is 12 days (range, 4 to ~45) for this cohort. Cox regression results showed a significantly shorter viral positivity duration was related to younger age (hazard ratio [HR], .658; P = .017); disease not being severe (HR, .653; P = .076); higher lymphocyte (HR, 1.464; P = .033), eosinophil (HR, 1.514; P = .020), and CD8+ T-cell (HR, 1.745; P = .033) counts; and lower IL-6 (HR, .664; P = .036) and IL-10 (HR, .631; P = .021). Multivariate analysis with covariable-adjusted results showed that the CD8+ T-cell count (HR, 2.376; P= .114) was a predominant risk factor for the duration of SARS-CoV-2 viral positivity. CONCLUSIONS: Our findings show early laboratory parameters such as CD8+ T-cell count to be risk factors for the duration of SARS-CoV-2 viral positivity, which has significance in the control and prevention of the disease.

Significance of plasma MACC1 levels on the prognostic stratification in patients with colorectal cancer.

The clinical significance of metastasis-associated in colon cancer-1 (MACC1) has been investigated but the relevance of peripheral MACC1 levels was rather limited. Herein, our data revealed that plasma MACC1 levels in 117 colorectal cancer patients (CRC) were dramatically higher than that in normal controls (P < 0.001), and with a strong discrimination power between the two groups (AUC = 0.960, P < 0.001). Moreover, MACC1 is an independent prognostic factor for CRC patients. When clinical parameters stratified by MACC1low and MACC1high , MACC1 levels exhibited further significant predictive value. Summary, plasma MACC1 levels could be a useful prognostic and diagnostic biomarker, and could improve the prognostic value of traditional prognosticators for colorectal cancer patients.

[UPLC fingerprint and multi-components content determination of different processed products of Angelica sinensis].

Ten batches of Angelica sinensis from three producing areas( Tuoxiang,Minxian and Weiyuan of Gansu province) were selected as the research objects,and processed into raw A. sinensis,A. sinensis with alcohol,and A. sinensis with soil respectively through the standard processing methods. Ultra-high performance liquid chromatography( UPLC) was used to establish fingerprint for three processed products of A. sinensis,and determine the contents of 9 phenolic acids and phthalide compounds. The similarity was analyzed with Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine,which showed that the chromatographic peaks of the same processed samples of A. sinensis were basically similar,with all similarities greater than 0. 950. The difference between different processed products and their control spectra was not obvious,with all similarities also higher than 0. 950.On the basis of using principal component analysis( PCA) and OPLS-DA to seek the difference components between groups,the improved distance coefficient method can be used to effectively distinguish the three processed products of A. sinensis by fingerprint similarity. At the same time,the determination method of nine phenolic acids and phthalide in A. sinensis was established by UPLC,and the comparison between different processed products was carried out. The results showed that the content of various components was changed as compared with the raw A. sinensis. The contents of coniferyl ferulate and ligustilide in the A. sinensis with alcohol were increased significantly,and the content of coniferyl ferulate was obviously increased in A. sinensis with soil. The method established in this paper can effectively distinguish different processed products of A. sinensis and determine the content of the main components in them.

[Technology optimization of Gardeniae Fructus processed with ginger juice and composition changes after processing].

To optimize the technology of Gardeniae Fructus processed with ginger juice,establish fingerprints and simultaneously determine seven compounds( geniposidic acid,chlorogenic acid,genipin-1-ß-D-gentiobioside,geniposide,rutin,crocin Ⅰ,and crocin Ⅱ) by using ultra high performance liquid chromatography( UPLC). Waters ACQUITY UPLC BEH C18( 2. 1 mm×50 mm,1. 7µm) column was used with acetonitrile and 0. 1% formic acid solution as mobile phase for gradient elution at the flow rate of 0. 4 m L·min-1. The data was comprehensively processed and analyzed with similarity evaluation,principal component analysis( PCA) and partial least squares discriminant analysis( PLS-DA) methods. Twenty common peaks were identified in this study,and the similarity of samples was over 0. 97. The results of PCA and PLS-DA showed that there were differences in chemical compositions and contents between the raw Gardeniae Fructus and those processed with ginger juice,with 9 potential differentiated chromatographic peaks. After being processed with ginger juice,the contents of chlorogenic acid,crocin Ⅰ and crocin Ⅱ were less than before and the contents of other four compositions were higher than before. The optimized preparation for Gardeniae Fructus processed with ginger juice was stable and feasible. The methods of UPLC fingerprints and simultaneous determination of seven components can be effectively carried out to distinguish Gardeniae Fructus and Gardeniae Fructus processed with ginger juice.

[Quality evaluation of multi-components simultaneous determination and fingerprint of Gardeniae Fructus from different regions].

An analysis method was established by UPLC fingerprint and then applied to simultaneous determination of multiple compounds in Gardeniae Fructus from different areas in China. Samples were separated on a Waters Acquity UPLC BEH C18( 2. 1 mm×50 mm,1. 7 µm) column with 0. 1% formic acid-water and acetonitrile solution as gradient mobile phase at a flow rate of 0. 4 m L·min-1 at various wavelengths. The similarity of samples was over 0. 95 with ″Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine( 2012 edition) ″. The UPLC common fingerprints for 32 batches were established with 19 common peaks identified. The samples were divided into 3 groups analyzed by HCA and PCA. Five components were identified as the main compositions which caused the differences of chemical constituents in the samples from different areas with partial least squares discriminant analysis( PLS-DA). The content of the total components in each area was Zhejiang > Fujian > Jiangxi > Sichuan. This method was accurate and viable,could be used to evaluate the quality of Gardeniae Fructus.

Significance of tumour cell HLA-G5/-G6 isoform expression in discrimination for adenocarcinoma from squamous cell carcinoma in lung cancer patients.

Human leucocyte antigen (HLA)-G has seven isoforms, of which HLA-G1-G4 are membrane-bound and HLA-G5-G7 are soluble. Previous studies reinforced HLA-G expression was strongly related to poor prognosis in different types of cancers. Among these studies, the monoclonal antibody (mAb) 4H84 was used which detects all HLA-G isoform heavy chain; unfortunately, leaves the specific types of isoforms expressed in lesions undistinguished and its clinical significance needs to be clarified. To explore clinical significance of lesion soluble HLA-G (sHLA-G) in non-small-cell lung cancer (NSCLC), mAb 5A6G7 recognizing HLA-G5/-G6 molecules was used. Tumour cell sHLA-G expression in 131 primary NSCLC lesions (66 squamous cell carcinoma, 55 adenocarcinoma and 10 adenosquamous carcinoma) were analysed with immunohistochemistry. Data showed that sHLA-G expression was observed in 34.0% (45/131) of the NSCLC lesions, which was unrelated to patient age, sex, lymph nodal status, tumour-node-metastasis stage and patient survival. However, tumour cell sHLA-G expression in lesions was predominately observed in adenocarcinoma lesions (73.0%, 40/55) which was significantly higher than that in squamous cell carcinoma (6.0%, 4/66) and adenosquamous carcinoma lesions (10.0%, 1/10, P < 0.001). The area under the receiver operating characteristic curve for lesion sHLA-G was 0.833 (95% CI: 0.754-0.912, P < 0.001) for adenocarcinoma versus squamous cell carcinoma. Our findings for the first time showed that tumour cell sHLA-G was predominately expressed in lung adenocarcinoma, which could be a useful biomarker to discriminate adenocarcinoma from squamous cell carcinoma in NSCLC patients.

Human Leukocyte Antigen-G (HLA-G) Expression in Cancers: Roles in Immune Evasion, Metastasis and Target for Therapy.

Aberrant induction of human leukocyte antigen-G (HLA-G) expression has been observed in various malignancies and is strongly associated with tumor immune escape, metastasis and poor prognosis. To date, great achievements have been made in understanding the underlying mechanisms of HLA-G involved in tumor progression. HLA-G could lead to tumor evasion by inhibition of immune cell cytolysis, differentiation and proliferation and inhibition of cytokine production, induction of immune cell apoptosis, generation of regulatory cells and expansion of myeloid-derived suppressive cells and by impairment of chemotaxis. Moreover, HLA-G could arm tumor cells with a higher invasive and metastatic potential with the upregulation of tumor-promoting factor expression such as matrix metalloproteinases (MMPs), indicating that ectopic HLA-G expression could render multiple effects during the progression of malignancies. In this review, we summarized the mechanisms of HLA-G involved in promoting tumor cell immune escaping, metastasis and disease progression. Special attention will be paid to its significance as an attractive therapeutic target in cancers.

Associations between epidermal growth factor receptor gene mutation and serum tumor markers in advanced lung adenocarcinomas: a retrospective study.

OBJECTIVE: To investigate the associations between epidermal growth factor receptor (EGFR) gene mutations and serum tumor markers in advanced lung adenocarcinomas. METHODS: We investigated the association between EGFR gene mutations and clinical features, including serum tumor marker levels, in 97 advanced lung adenocarcinomas patients who did not undergo the treatment of EGFR tyrosine kinase inhibitors. EGFR gene mutation was detected by real-time PCR at exons 18, 19, 20, and 21. Serum tumor marker concentrations were analyzed by chemiluminescence assay kit at the same time. RESULTS: EGFR gene mutations were detected in 42 (43%) advanced lung adenocarcinoma patients. Gender (P=0.003), smoking status (P=0.001), and abnormal serum status of carcinoembryonic antigen (CEA, P=0.028) were significantly associated with EGFR gene mutation incidence. Multivariate analysis showed the abnormal CEA level in serum was independently associated with the incidence of EGFR gene mutation (P=0.046) with an odds ratio of 2.613 (95% CI: 1.018-6.710). However, receiver operating characteristic (ROC) curve analysis revealed CEA was not an ideal predictive marker for EGFR gene mutation status in advanced lung adenocarcinoma (the area under the ROC curve was 0.608, P=0.069). CONCLUSIONS: EGFR gene mutation status is significantly associated with serum CEA status in advanced lung adenocarcinmoas. However, serum CEA is not an ideal predictor for EGFR mutation.

Prognostic risk stratification value of MACC1 expression in patients with gastric cancer.

BACKGROUND: The prognostic significance of metastasis-associated in colon cancer-1 (MACC1) has been explored in a variety of malignancies. However, its clinical relevance in patients with gastric cancer (GC) is limited, also remains controversial. METHOD: In this study, we retrospectively evaluated the prognostic value of lesion MACC1 expression in 347 GC patients. Lesion MACC1 expression was analyzed with immunohistochemistry and grouped as MACC1low (n = 172) and MACC1high (n = 175) cases. RESULTS: Data revealed that the degree of MACC1 expression is not related to patient sex, age and disease stage (all p > 0.05). Survival analysis showed that only post-operation advanced pT (p = 0.018), pN (p < 0.001), pM (p = 0.001) and AJCC stages (p < 0.001) are significantly associated with shorter survival, while no obvious difference was observed between MACC1low and MACC1high cases (p = 0.158). However, we found that survival for female (p = 0.032), older (p = 0.028), and early disease stage (pT stage I + II, p = 0.033) patients with MACC1high are remarkably worse than those with MACC1low. CONCLUSION: In summary, our findings revealed that, though MACC1 expression is not associated with the survival of the whole cohort, the prognostic risk stratification value of lesion MACC1 expression in subgroups of patients with gastric cancer should be noted.

Biobanking of fresh-frozen human colon tissues: impact of tissue ex-vivo ischemia times and storage periods on RNA quality.

BACKGROUND: Biobanking plays an important role in translational cancer research. The impact of tissue ex-vivo ischemia time and storage period on RNA integrity is not well documented. METHODS: Fresh-frozen colon tissues were collected in Taizhou Hospital of Zhejiang Province in China since 2004. Fifty-one colon cancer tissues with tumor cell content higher than 70 % and matched normal tissues during four storage periods (less than 15 months, 16-20 months, 21-25 months, and 26-40 months) were chosen to detect RNA quality. Fresh colon cancer tissues from 5 patients were cut into pieces and kept at room temperature or on ice for 0.5, 1, 2, and 4 h before snap freezing. RNA integrity was determined by microcapillary electrophoresis by the RNA integrity number (RIN) algorithm. RESULTS: Sixty-seven percent of normal colon tissues and 94 % of colon cancer specimens yielded RNA with a RIN of ≥7. Matched colon cancer and normal tissues showed significant difference in RNA quality. RNA remained stable in colon cancer tissues kept at room temperature and on ice for up to 4 h, and long-term storage of banked colon specimens did not negatively influence RNA quality (RNA with RIN of ≥7 banked less than 15 months, 83 %; 16-20 months, 78 %; 21-25 months, 77 %; 26-40 months, 90 %). CONCLUSIONS: Frozen colon tissues yield high-quality RNA in approximately 80 % of specimens. Ex-vivo ischemia times and storage periods did not adversely affect RNA quality. This study showed that standard operation protocols and the maintenance of high-quality tissue repositories were the keys to translational medicine research.

HLA-G expression is associated with metastasis and poor survival in the Balb/c nu/nu murine tumor model with ovarian cancer.

Aberrant HLA-G expression is associated with tumor invasiveness and poor clinical prognosis; however, there is a lack of preclinical animal model to address whether HLA-G plays a causal role in the unfavorable prognosis of malignancies. In the current study, ovarian carcinoma cell lines (HO-8910 and Ovcar-3) were transfected with HLA-G gene. HLA-G expression was analyzed with western blot and flow cytometry. Transwell experiment was performed to analyze the cell migration and invasion capability and/or multicellular spheroid formation was investigated with the 3D culture assay in vitro. The effects of HLA-G expression for tumor cell organ metastasis and for mouse survival was analyzed with the Balb/c nu/nu mouse model. Our data showed that HO-8910-G and Ovcar-3-G cells are of higher invasion potential compared with the parental HO-8910 and Ovcar-3 cells. Multicellular spheroid formation exists only in HO-8910-G cells in a 3D culture assay. In Balb/c nu/nu mouse model, widespread metastasis was observed in mice xenografted with HO-8910-G cells, but not in the group with parental cells. Mouse survival was dramatically decreased in HO-8910-G and Ovcar-3-G xenografted mice than that with HO-8910 and Ovcar-3 cells, respectively. In summary, our study provided the first evidence that HLA-G expression is associated with tumor metastasis and with poor survival in an animal model with ovarian cancer.

Pre-operative neutrophil-to-lymphocyte ratio is an independent prognostic factor in patients with gastric cancer.

OBJECTIVE: To evaluate the prognostic significance of peripheral lymphocyte count and its derived inflammatory markers, such as neutrophil-to-lymphocyte ratio (NLR), in a cohort of patients with gastric cancer (GC). METHODS: In this retrospective study, the clinical characteristics and follow-up information, both pre- and post-operative within one week of laboratory findings, of 338 patients with GC who underwent radical gastrectomy were retrieved, and their prognostic significance was evaluated. RESULTS: Both lower pre- and post-operative lymphocyte counts and higher NLR and SSI were significantly related to advanced tumour (pT) and disease stages (American Joint Committee on Cancer [AJCC]) in patients with GC. Log-rank survival analysis showed that, in addition to traditional pT, pN, pM, and AJCC stages, both lower pre- (p = 0.041) and post-operative (p = 0.002) lymphocyte counts and higher NLR (ppre < 0.001 and ppost = 0.008) and SSI (ppre = 0.014 and ppost = 0.145) were associated with worse survival. Cox proportional hazards analysis revealed that pre-operative NLR (p = 0.018; hazard ratio = 1.778) was an independent predictor of prognosis in patients with GC. Moreover, when the pre-operative NLR was divided into NLRlow and NLRhigh, NLRhigh showed stratified prognostic value for patient sex (male, p = 0.001; female, p = 0.044), age (younger, p = 0.005; older, p = 0.005), and AJCC stage III (p = 0.007). CONCLUSION: Pre-operative NLR is an independent prognostic factor for patients with GC and has stratified prognostic value for patients with AJCC stage III GC.

Prognostic significance of the immune checkpoint HLA-G/ILT-4 in the survival of patients with gastric cancer.

OBJECTIVE: Human leukocyte antigen-G (HLA-G) and its receptors, including immunoglobulin-like transcripts (ILT)-2 and ILT-4, are closely associated with cancer development and clinical outcomes of patients. However, the clinical significance of HLA-G and ILT-2/-4 in gastric cancer (GC) is limited. METHODS: In this study, the percentage of HLA-G-, ILT-2 and ILT-4 positive tumor cells in 127 GC lesion suspensions of tumor cells gated for epithelialcelladhesionmolecule(EpCAM) was determined using multicolor flow cytometry and their clinical significance was evaluated. RESULTS: Our data showed that the median percentages of HLA-G-, ILT-2, and ILT-4 expressing GC cells were 18.0%, 67.80%, and 1.42%, respectively, and co-expression of HLA-G/ILT-2, HLA-G/ILT-4, and ILT-2/ILT-4 was 16.9%, 1.42%, and 1.70%, respectively. Kaplan-Meier survival results revealed that besides post-operation N status (p = 0.006), M status (p = 0.001), and AJCC clinical stage (p < 0.001), only high percentage of ILT-4+ GC cells was a significant factor for worse survival of patients with GC (overall survival [OS]: 42.9 months vs. 84.5 months; p = 0.031). However, among female patients with GC (n = 31), high percentage of either HLA-G+ (OS: 18.5 months vs. 89.3 months; p = 0.001) or ILT-4+ (OS: 17.9 months vs. 85.8 months; p = 0.002) GC cells was markedly associated with a poor prognosis. CONCLUSION: Our findings revealed that among HLA-G, ILT-2, and ILT-4, only a high percentage of ILT-4+ GC cells was significantly related to poor prognosis in the entire cohort of patients with GC. However, high percentage of HLA-G+ and ILT-4+ GC cells is associated with poor clinical outcome among female patients with GC.

Human leukocyte antigen-G expression is associated with a poor prognosis in patients with esophageal squamous cell carcinoma.

Human leukocyte antigen (HLA)-G inhibits functions of immune component cells and promotes malignant cells evading from antitumor immunity. We investigated the clinical relevance of HLA-G expression in esophageal squamous cell carcinoma (ESCC). In our study, HLA-G expression in 79 primary ESCC lesions and corresponding adjacent normal tissues were analyzed with immunohistochemistry. Soluble HLA-G (sHLA-G) in plasma was detected with enzyme-linked immunosorbent assay (ELISA) in 41 ESCC patients (including 19 case-matched lesions and plasma samples) and in 153 normal healthy controls. HLA-G expression was observed in 65.8% (52/79) of the ESCC lesions but not in adjacent normal esophageal tissues. HLA-G expression was more frequently observed in patients with advanced disease stage (III/IV vs. I/II, p = 0.01). Patients with HLA-G expression had a significantly worse survival, and HLA-G could be an independent prognostic factor. sHLA-G levels in plasma were significantly increased in patients compared to normal controls (median: 152.4 U/ml vs. 8.9 U/ml, p < 0.001). The area under receiver-operating characteristic (ROC) curve for sHLA-G in plasma was 0.992. However, no significant correlation was found between sHLA-G in plasma and clinical parameters studied. In conclusion, our findings indicated that HLA-G expression in ESCC is associated with poor survival and could be a prognostic indicator. Furthermore, increased levels of sHLA-G in plasma might be a useful preoperative biomarker for diagnosis.

Perspective of HLA-G Induced Immunosuppression in SARS-CoV-2 Infection.

COVID-19, the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has threatened public health worldwide. Host antiviral immune responses are essential for viral clearance and disease control, however, remarkably decreased immune cell numbers and exhaustion of host cellular immune responses are commonly observed in patients with COVID-19. This is of concern as it is closely associated with disease severity and poor outcomes. Human leukocyte antigen-G (HLA-G) is a ligand for multiple immune inhibitory receptors, whose expression can be upregulated by viral infections. HLA-G/receptor signalling, such as engagement with immunoglobulin-like transcript 2 (ILT-2) or ILT-4, not only inhibit T and natural killer (NK) cell immune responses, dendritic cell (DC) maturation, and B cell antibody production. It also induces regulatory cells such as myeloid-derived suppressive cells (MDSCs), or M2 type macrophages. Moreover, HLA-G interaction with CD8 and killer inhibitory receptor (KIR) 2DL4 can provoke T cell apoptosis and NK cell senescence. In this context, HLA-G can induce profound immune suppression, which favours the escape of SARS-CoV-2 from immune attack. Although detailed knowledge on the clinical relevance of HLA-G in SARS-CoV-2 infection is limited, we herein review the immunopathological aspects of HLA-G/receptor signalling in SARS-CoV-2 infection, which could provide a better understanding of COVID-19 disease progression and identify potential immunointerventions to counteract SARS-CoV-2 infection.

HLA-G/ILTs Targeted Solid Cancer Immunotherapy: Opportunities and Challenges.

Immune checkpoint inhibitors (ICIs) have become a promising immunotherapy for cancers. Human leukocyte antigen-G (HLA-G), a neoantigen, its biological functions and clinical relevance have been extensively investigated in malignancies, and early clinical trials with "anti-HLA-G strategy" are being launched for advance solid cancer immunotherapy. The mechanism of HLA-G as a new ICI is that HLA-G can bind immune cell bearing inhibitory receptors, the immunoglobulin-like transcript (ILT)-2 and ILT-4. HLA-G/ILT-2/-4 (HLA-G/ILTs) signaling can drive comprehensive immune suppression, promote tumor growth and disease progression. Though clinical benefits could be expected with application of HLA-G antibodies to blockade the HLA-G/ILTs signaling in solid cancer immunotherapy, major challenges with the diversity of HLA-G isoforms, HLA-G/ILTs binding specificity, intra- and inter-tumor heterogeneity of HLA-G, lack of isoform-specific antibodies and validated assay protocols, which could dramatically affect the clinical efficacy. Clinical benefits of HLA-G-targeted solid cancer immunotherapy may be fluctuated or even premature unless major challenges are addressed.

Risk factors for SARS-CoV-2 re-positivity in COVID-19 patients after discharge.

OBJECTIVE: Re-positivity of SARS-CoV-2 in discharged COVID-19 patients have been reported; however, early risk factors for SARS-CoV-2 re-positivity evaluation are limited. METHODS: This is a prospective study, a total of 145 COVID-19 patients were treated and all discharged according to the guideline criteria by Mar 11th 2020. After discharge, clinical visits and viral RT-PCR tests by the second and fourth week follow-up were carried-out. Patient demographic and clinical characteristics and laboratory data on admission and discharge were retrieved, and predictive factors for SARS-CoV-2 re-positivity were analyzed. RESULTS: 13 out of 145 (9.0%) COVID-19 patients were confirmed re-positivity of SARS-CoV-2 by RT-PCR test. The median interval between disease onset to recurrence was 38 days. SARS-CoV-2 re-positive cases were of significantly longer virus shedding duration, notably higher body temperature, heart rate and lower TNF-α and IgG levels on admission. Covariate logistic regression analysis revealed virus shedding duration and IgG levels are independent risk factors for SARS-CoV-2 return positive after discharge. CONCLUSION: Longer viral shedding duration and lower IgG levels are risk factors for re-positivity of SARS-CoV-2 for discharged COVID-19 patients.

Comprehensive Transcriptomic Analysis Reveals the Role of the Immune Checkpoint HLA-G Molecule in Cancers.

Human leukocyte antigen G (HLA-G) is known as a novel immune checkpoint molecule in cancer; thus, HLA-G and its receptors might be targets for immune checkpoint blockade in cancer immunotherapy. The aim of this study was to systematically identify the roles of checkpoint HLA-G molecules across various types of cancer. ONCOMINE, GEPIA, CCLE, TRRUST, HAP, PrognoScan, Kaplan-Meier Plotter, cBioPortal, LinkedOmics, STRING, GeneMANIA, DAVID, TIMER, and CIBERSORT were utilized. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. In this study, we comprehensively analysed the heterogeneous expression of HLA-G molecules in various types of cancer and focused on genetic alterations, coexpression patterns, gene interaction networks, HLA-G interactors, and the relationships between HLA-G and pathological stage, prognosis, and tumor-infiltrating immune cells. We first identified that the mRNA expression levels of HLA-G were significantly upregulated in both most tumor tissues and tumor cell lines on the basis of in-depth analysis of RNAseq data. The expression levels of HLA-G were positively associated with those of the other immune checkpoints PD-1 and CTLA-4. Abnormal expression of HLA-G was significantly correlated with the pathological stage of some but not all tumor types. There was a significant difference between the high and low HLA-G expression groups in terms of overall survival (OS) or disease-free survival (DFS). The results showed that HLA-G highly expressed have positive associations with tumor-infiltrating immune cells in the microenvironment in most types of tumors (P<0.05). Additionally, we identified the key transcription factor (TF) targets in the regulation of HLA-G expression, including HIVEP2, MYCN, CIITA, MYC, and IRF1. Multiple mutations (missense, truncating, etc.) and the methylation status of the HLA-G gene may explain the differential expression of HLA-G across different tumors. Functional enrichment analysis showed that HLA-G was primarily related to T cell activation, T cell regulation, and lymphocyte-mediated immunity. The data may provide novel insights for blockade of the HLA-G/ILT axis, which holds potential for the development of more effective antitumour treatments.