Non-small cell lung cancer (NSCLC) ranks the first among malignant tumors in China and even in the whole world. In recent years, the developement of genetic testing technology, particularly tumor gene sequencing, has provided a solid basis for the clinical molecular diagnosis of NSCLC, which has greatly increased the chances of patients benefiting from targeted therapy or immunotherapy, and ultimately extending their survival. Standardizing the use of tumor gene sequencing is crucial for the precision medicine in NSCLC. This paper discusses the normalization of tumor gene sequencing technology in the clinical molecular diagnostic pathway of NSCLC, which may promote the standardized use of tumor gene sequencing technology in targeted therapy or immunotherapy drug selection, toxicity and side effect prediction, efficacy monitoring, recurrence and prognosis evaluation of NSCLC patients. This article discusses the standardization of the application of tumor gene sequencing technology in the clinical molecular diagnosis pathway of NSCLC. Additionally, it offers a foundation for the uniform use of tumor gene sequencing technology in other solid tumors.

In December, the outbreak of a novel coronavirus (2019-nCoV) in Wuhan, China, has attracted extensive global attention. On January 20, 2020,the Chinese health authorities upgraded the coronavirus to a Class B infectious disease in the Law of the People's Republic of China on the Prevention and Treatment of Infectious Diseases, and considered it as Class A infectious diseases in disease control and prevention. On January 22, 2020, the 2019-nCoV nucleic acid detection test was listed as the diagnostic criteria in the "guidelines for diagnosis and treatment of pneumonia due to 2019-nCoV (Trial Version 2)" . Therefore, standardizing the operation process of the 2019-nCoV nucleic acid detection in clinical laboratories has become a top priority. It is of paramount importance to establish standard protocols for detection of the 2019-nCoV nucleic acids in clinical laboratories to improve the reliability of the results and ensure the biosafety of laboratory personnel.

Objective: To investigate the diagnostic value of immunoglobulin M (IgM) and immunoglobulin G(IgG) antibodies to 2019 Novel Coronavirus (2019-nCoV) in 2019-nCoV infection. Method: This is a retrospective study. Serum samples were collected from 284 patients including outpatients and inpatients in the Renmin Hospital of Wuhan University from January 20, 2020 to February 17, 2020. Among them 205 cases were 2019-nCoV infected patients, including 186 cases confirmed with nucleic acid test and 19 cases diagnosed by clinical symptoms and CT characteristics according to "the New Coronavirus Pneumonia Control Protocol (5th edition)" . A total of 79 subjects with other diseases but negative to 2019-nCoV infection were recruited as control group. Serum IgM and IgG antibodies to 2019-nCoV were measured with fully automated immunoassay technology for all subjects. Statistical significance between 2019-nCoV antibodies test and 2019-nCoV nucleic acid test was determined using the χ² tests. Result: The sensitivity of serum IgM and IgG antibodies to 2019-nCoV were 70.24%(144/205) and 96.10%(197/205) respectively and the specificity were 96.20%(76/79) and 92.41%(73/79) respectively. The positive and negative predictive values of 2019-nCoV antibodies were 95.63%(197/206) and 91.03% (71/78) respectively, and the positive and negative predictive values of 2019-nCoV nucleic acid test were 100%(186/186) and 80.61%(79/98) respectively. The total coincidence rate of diagnosing 2019-nCoV infection between antibody tests and nucleic acid test for 2019-nCoV were 88.03%(250/284). Conclusion Joint detection of serum IgM and IgG antibodies to 2019-nCoV is an effective screening and diagnostic indicators for 2019-nCoV infection, and an effective complement to the false negative results to nucleic acid test.

Objective: To investigate the positive rate for 2019-nCoV tests and co-infections in Wuhan district. Methods: A total of 8 274 cases in Wuhan were enrolled in this cross-sectional study during January 20 to February 9, 2020, and were tested for 2019-nCoV using fluorescence quantitative PCR. Both respiratory tract samples (nasopharynx, oropharynx, sputum and alveolar lavage fluid) and non-respiratory tract samples (urine, feces, anal swabs, blood and conjunctival sac swabs) were collected. If both orf1ab and N genes are positive, they are classified as nucleic acid test positive group; if both orf1ab and N genes are negative, they are classified as negative group; if single gene target is positive, they are classified as suspicious group. Individuals were divided into male group and female group according to sex. At the same time, 316 patients were tested for 13 respiratory pathogens by multiplex PCR. Results: Among the 8 274 subjects, 2 745 (33.2%) were 2019-nCoV infected; 5 277 (63.8%) subjects showed negative results in the 2019-nCoV nucleic acid test; and 252 cases (3.05%) was not definitive (inconclusive result). The age of cases with COVID-19 patients and inconclusive cases was significantly higher than that of cases without 2019-nCoV infection (40 vs 56, t=27.569, P<0.001; 52 vs 56, t=6.774, P<0.001). The positive rate of 13 respiratory pathogens multiple tests was significantly lower in 104 subjects who were positive for 2019-nCoV compared with those in subjects who were negative for 2019-nCoV test (5.77% vs 18.39%, χ²=24.105, P=0.003). Four types of respiratory tract samples and five types of non-respiratory tract samples were found to be positive for 2019-nCoV nucleic acid test. Conclusion The 2019-nCoV nucleic acid positive rate in male is higher than in female. Co-infections should be pay close attention in COVID-19 patients. 2019-nCoV nucleic acid can be detected in non-respiratory tract samples.

Objective:To investigate the diagnostic value of immunoglobulin M (IgM) and immunoglobulin G(IgG) antibodies to 2019 Novel Coronavirus (2019-nCoV) in 2019-nCoV infection.Methods:This is a retrospective study. Serum samples were collected from 284 patients including outpatients and inpatients in the Renmin Hospital of Wuhan University from January 20 to February 17 in 2020. Among them 205 cases were 2019-nCoV infected patients, including 186 cases confirmed with nucleic acid test and 19 cases diagnosed by clinical symptoms and CT characteristics according to "the New Coronavirus Pneumonia Control Protocol (5th edition)" . A total of 79 subjects with other diseases but negative to 2019-nCoV infection were recruited as control group. Serum IgM and IgG antibodies to 2019-nCoV were measured with fully automated immunoassay technology for all subjects. Statistical significance between 2019-nCoV antibodies test and 2019-nCoV nucleic acid test was determined using the χ 2 tests. Results:The sensitivity of serum IgM and IgG antibodies to 2019-nCoV were 70.24%(144/205) and 96.10%(197/205) respectively and the specificity were 96.20%(76/79) and 92.41%(73/79) respectively. The positive and negative predictive values of 2019-nCoV antibodies were 95.63%(197/206) and 91.03% (71/78) respectively, and the positive and negative predictive values of 2019-nCoV nucleic acid test were 100%(186/186) and 80.61%(79/98) respectively. The total coincidence rate of diagnosing 2019-nCoV infection between antibody tests and nucleic acid test for 2019-nCoV were 88.03%(250/284).Conclusion:Joint detection of serum IgM and IgG antibodies to 2019-nCoV is an effective screening and diagnostic indicators for 2019-nCoV infection, and an effective complement to the false negative results to nucleic acid test.

In December, the outbreak of a novel coronavirus (2019-nCoV) in Wuhan, China, has attracted extensive global attention. On January 20, 2020, the Chinese health authorities upgraded the coronavirus to a Class B infectious disease in the Law of the People′s Republic of China on the Prevention and Treatment of Infectious Diseases, and considered it as Class A infectious diseases in disease control and prevention. On January 18, 2020, the 2019-nCoV nucleic acid detection test was listed as the diagnostic criteria in the "guidelines for diagnosis and treatment of pneumonia due to 2019-nCoV (Trial Version 2)" . Therefore, standardizing the operation process of the 2019-nCoV nucleic acid detection in clinical laboratories has become a top priority. It is of paramount importance to establish standard protocols for detection of the 2019-nCoV nucleic acids in clinical laboratories to improve the reliability of the results and ensure the biosafety of laboratory personnel.

Acute respiratory tract infections ranks first in China for various infectious diseases.Lower respiratory tract infections and related diseases caused a heavy burden on China′s medical care and society. In particular, COVID has caused great losses. This article discusses the standardization of clinical pathological diagnosis of respiratory pathogen infection, in order to improve the correct diagnosis of the disease and facilitate the timely treatment of the disease.

Objective:A high performance liquid chromatography-photo-diode array（HPLC-PDA） method for the simultaneous determination of the 7 phenolic acids including danshensu，protocatechuic acid，protocatechuic aldehyde，chlorogenic acid，caffeic acid，ferulic acid and rosemary acid in Lycopus lucidus var.hirtus rhizome，analyzing and evaluating the phenolic acids in L.lucidus var.hirtus rhizome collected from different habitats，is reported here. Method:The sample was extracted by ultrasonic with 80% methanol solution，7 kinds of phenolic acids were separated on a CAPCELL PAK C₁₈ column （4.6 mm×250 mm，5 μm） with a mobile phase consisting of methanol-0.02% formic acid aqueous （pH 3.10）by gradient elution，The detection wavelength was at 279，324 nm， the column temperature was 30 ℃ with 20 μL injection volume and the flow rate was 1.0 mL·min^-1. Result:The 7 Phenolic acids had a good linear relationship （r≥0.999 9） within their respective mass concentration ranges，the average recovery was 96.49%-103.45% and the RSD was 0.5%-2.8%，the limit of determination was 0.008-0.046 mg·L^-1 and the limit of quantification was 0.027-0.154 mg·L^-1.The 7 kinds of phenolic acids were all detected in L.lucidus var.hirtus rhizome and the total amount was between 5 811.01 and 11 747.23 µg·g^-1 ， the average amount was 7 421.05 µg·g^-1.The content of 7 phenolic acids was different and the rosemary acid was the highest in all the samples with an average of 7 111.19 µg·g^-1 the ratio to the total phenolic acids was 95.8%.The results of principal component analysis and cluster analysis showed that the quality of L.lucidus var.hirtus rhizome from Heze city in Shandong province was better，followed by Wanzhou district in Chongqing. Conclusion:The method was simple，sensitive，accurate，practical and reliable，and is suitable for the content determination of phenolic acid in L. lucidus var. hirtus rhizome.It is expected to provide a reference for the improvement of quality standard and a new idea for the development and utilization of L.lucidus var.hirtus rhizome.