Objective To summarize the research progress of postmenopausal breast cancer and estrogen metabolites, which is aimed at providing the basis for early diagnosis and early treatment of postmenopausal breast cancer, at the same time, providing beneficial information for the future study. Methods In recent years, the literatures about postmenopausal breast cancer and estrogen metabolites were reviewed from the databases of WanFang, VIP, CNKI, PubMed, and so on, to make an review. Results Estrogen metabolites had a dual role for postmenopausal breast cancer, such as 2-hydroxyestrone (2-OHE1), 2-methoxyestrone1 (2-MeOE1), and 4-methoxyestrone1 (4-MeOE1) played a protective role for postmenopausal breast cancer, but 4-hydroxyestrone (4-OHE1) and 16α-hydroxyestrone (16α-OHE1) played a carcinogenic role for postmenopausal breast cancer, so it needed to be further studied. Conclusions Estrogen metabolites may be a reliable predictor for the risk of postmenopausal breast cancer, it is not only to provide clues for the mechanism of postmenopausal breast cancer, but also provide new train of thought for early diagnosis and treatment of postmenopausal breast cancer.
Lung cancer is one of the most common malignant tumors in the world, and also one of the most common malignant tumors with the highest incidence, highest mortality, the fastest growth rate and the worst prognosis. Therefore, a deeper understanding of the disease is urgently needed in order to establish new diagnostic and therapeutic approaches. Exosomes, a kind of extracellular vesicles secreted by cells, can deliver various bioactive molecules, such as proteins, mRNA, mircoRNA, lipids, etc, and their potential value in the diagnosis, treatment and prognosis of lung cancer has been supported by a large number of literatures. In this review, we reviewed the role of exosomes in the of development, early diagnosis, treatment and prognosis of non-small cell lung cancer.
Lung cancer is the most common malignant tumor in the world and the leading cause of cancer-related death. Due to the lack of effective early diagnosis methods, the prognosis of lung cancer is poor, but compared with advanced lung cancer, the survival rate of early lung cancer is greatly improved. Therefore, early diagnosis of lung cancer is crucial. As a major epigenetic modification, DNA methylation plays an important role in the development of lung cancer. A large number of studies have shown that detection of tumor suppressor gene methylation is an ideal early diagnosis method for lung cancer. With the continuous improvement of detection technology, methylation detection of multiple genes can be achieved. And it is found that multi-gene methylation combined detection of tissue samples obtained by minimally invasive operation such as puncture of diseased tissue and puncture of lymph node tissue, as well as the noninvasive samples such as peripheral blood, bronchoalveolar lavage fluid and sputum have higher detection rate and higher sensitivity and specificity than single gene methylation. It is an ideal method for early diagnosis of lung cancer.
ObjectiveTo investigate the characteristic volatile organic compounds (VOCs) in exhaled breath and their diagnostic value in patients with early stage lung cancer.MethodsSolid-phase micro-extraction combined with gas chromatography mass spectrometry was used to analyze exhaled breath VOCs of 117 patients with early stage lung cancer (54 males and 63 females, with an average age of 61.9±6.8 years) and 130 healthy subjects (79 males and 51 females, with an average age of 63.3±6.6 years. The characteristic VOCs of early stage lung cancer were identified, and a diagnostic model was established.ResultsTen characteristic VOCs of early stage lung cancer were identified, including acetic acid, n-butanol, dimethylsilanol, toluene, 2,3,4-trimethylheptane, 3,4-dimethylbenzoic acid, 5-methyl-3-hexene-2-ketone, n-hexanol, methyl 2-oxoglutarate and 4-methoxyphenol. Gender and the 10 characteristic VOCs were included in the diagnostic model, with a sensitivity of 83.8% and a specificity of 96.2%.ConclusionAnalysis of exhaled breath VOCs is expected to be one of the potential methods used for early stage lung cancer diagnosis.
ObjectiveTo analyze the clinical characteristics of acute pancreatitis (AP) complicated with pulmonary infection and to explore the value of BISAP, APACHEⅡ and CTSI scores combined with C-reactive protein (CRP) in early diagnosis and prognosis of AP complicated with pulmonary infection.MethodsFour hundreds and eighty-four cases of AP treated in the Affiliated Hospital of North Sichuan Medical College from January 2018 to January 2020 were selected. After screening, 460 cases were included as the study object, and the patients with pulmonary infection were classified as the infection group (n=114). Those without pulmonary infection were classified as the control group (n=346). The baseline data, clinical characteristics, laboratory test indexes, length of stay, hospitalization cost, and outcome of the two groups were collected, and the risk factors and early predictive indexes of pulmonary infection in patients with AP were analyzed.ResultsHospitalization days and expenses, outcome, fluid replacement within 24 hours, drinking, smoking, age, APACHEⅡ score, BISAP score, CTSI score, hemoglobin (Hb), albumin (ALB), CRP, procalcitonin (PCT), total bilirubin (TB), lymphocyte count, international standardized ratio (INR), blood glucose, and blood calcium, there were significant differences between the two groups (P<0.05). There were no significant difference in BMI, sex, recurrence rate, fatty liver grade, proportion of patients with hypertension and diabetes between the two groups (P>0.05). The significant indexes of univariate analysis were included in multivariate regression analysis, the results showed that Hb≤120 g/L, CRP≥56 mg/L, PCT≥1.65 ng/mL, serum calcium≤2.01 mmol/L, BISAP score≥3, APACHEⅡ score≥8, CTSI score≥3, and drinking alcohol were independent risk factors of AP complicated with pulmonary infection. The working characteristic curve of the subjects showed that the area under the curve (AUC) of CRP, BISAP score, APACHEⅡ score and CTSI score were 0.846, 0.856, 0.882, 0.783, respectively, and the AUC of the four combined tests was 0.952. The AUC of the four combined tests was significantly higher than that of each single test (P<0.05).Conclusions The CRP level, Apache Ⅱ score, bisap score and CTSI score of AP patients with pulmonary infection are significantly higher, which are closely related to the severity and prognosis of AP patients with pulmonary infection. The combined detection of the four items has more predictive value than the single detection in the early diagnosis and prognosis evaluation of AP complicated with pulmonary infection. Its application in clinic is of great significance to shorten the duration of hospitalization and reduce the cost of hospitalization and mortality.
ObjectiveTo explore advances in clinical applications of circulating tumor DNA (ctDNA) for early diagnosis of breast cancer.MethodReviewed on the latest literatures about studies of advances in clinical applications of ctDNA for early diagnosis of breast cancer.ResultsctDNA was a cell-free DNA generated by tumor cells that contained tumor-associated mutations and could dynamically reflect the entire picture of the tumor genome. It was a very important potential tumor biomarker. ctDNA had been widely used in a variety of tumors for early diagnosis, curative effect assessment, and prognosis evaluation due to its advantages such as small trauma and real-time monitoring, and its role in breast cancer had attracted more and more attention.ConclusionEarly diagnosis is critical to improve the breast cancer patients’ overall survival rate and ctDNA plays an important role in early diagnosis and early detection of recurrence and metastasis of breast cancer.
ObjectiveTo analyze the correlation between folate receptor-positive circulating tumor cells (FR+CTC) and the benign or malignant lesions of the lung, and to establish a malignant prediction model for pulmonary neoplasm based on clinical data, imaging and FR+CTC tests.MethodsA retrospective analysis was done on 1 277 patients admitted to the Affiliated Hospital of Qingdao University from September 2018 to December 2019, including 518 males and 759 females, with a median age of 57 (29-85) years. They underwent CTC examination of peripheral blood and had pathological results of pulmonary nodules and lung tumors. The patients were randomly divided into a trial group and a validation group. Univariate and multivariate analyses were performed on the data of the two groups. Then the nomogram prediction model was established and verified internally and externally. Receiver operating characteristic (ROC) curve was used to test the differentiation of the model and calibration curve was used to test the consistency of the model.ResultsTotally 925 patients suffered non-small cell lung cancer and 113 patients had benign diseases in the trial group; 219 patients suffered non-small cell lung cancer and 20 patients had benign diseases in the verification group. The FR+CTC in the peripheral blood of non-small cell lung cancer patients was higher than that found in the lungs of the patients who were in favorite conditions (P<0.001). Multivariate analysis showed that age≥60 years, female, FR+CTC value>8.7 FU/3 mL, positive pleural indenlation sign, nodule diameter, positive burr sign, consolidation/tumor ratio<1 were independent risk factors for benign and malignant lung tumors with a lesion diameter of ≤4 cm. Thereby, the nomogram prediction model was established. The area under the ROC curve (AUC) of the trial group was 0.918, the sensitivity was 86.36%, and the specificity was 83.19%. The AUC value of the verification group was 0.903, the sensitivity of the model was 79.45%, and the specificity was 90.00%, indicating nomogram model discrimination was efficient. The calibration curve also showed that the nomogram model calibration worked well.ConclusionFR+CTC in the peripheral blood of non-small cell lung cancer patients is higher than that found in the lungs of the patients who carry benign pulmonary diseases. The diagnostic model of clinical stage Ⅰ non-small cell lung cancer established in this study owns good accuracy and can provide a basis for clinical diagnosis.
Objective To investigate the expression of oncostatin M (OSM) in patients with sepsis and its role in early recognition of sepsis. Methods Thirty-four patients with sepsis admitted in Shanxi Bethune Hospital fromJune 3, 2021 to January 18, 2022 were selected as a sepsis group, 15 patients with community acquired pneumonia (CAP) as a case control group, and 16 adults who underwent physical examination in the same period were selected as a healthy control group. The patients in the sepsis group were followed up for 28 days and divided into a survival group and a death group. The serum OSM level and its correlation with clinical indexes (white blood cell, neutrophil, lymphocyte, sequential organ failure assessment score and acute physiology and chronic health evaluation Ⅱ) were analyzed, and the diagnostic value of OSM expression level in the early identification of sepsis was analyzed. Results Compared with the case control group and the healthy control group, the expression level of OSM in the sepsis group was significantly higher [(502.07±209.93)pg/mL vs. (368.22±65.95)pg/mL and (382.09±73.04)pg/mL, P<0.05]. However, the high expression of OSM had no significant correlation with white blood cell, neutrophil, lymphocyte or disease severity score (P>0.05), and there was no significant difference in serum OSM level between the sepsis survival group and the death group. Compared with white blood cell count, the high expression of OSM has certain diagnostic value in the early identification of sepsis. The area under the receiver operator characteristic curve of OSM in predicting sepsis was 0.794 (95% confidence interval 0.666 - 0.922, P<0.05), with the sensitivity of 79.4% and the specificity of 73.3%. Conclusion The expression of OSM in patients with sepsis is significantly increased, and the high expression of OSM has a certain diagnostic value in the early identification of sepsis.
Diabetic kidney disease, as a common complication of diabetes, is one of the main causes of end-stage renal disease. Because of the rapid progress of its course and the limited means of treatment, it is of great clinical significance to seek biomarkers from early diagnosis for the treatment of diabetic kidney disease. At present, there are limited methods for early diagnosis of diabetic kidney disease. As a widely used research method, metabonomics can detect metabolites in diseases and provide biomarkers for disease diagnosis and prognosis. This article summarizes the changes of amino acids, lipids, organic acids and other metabolites in blood or urine of patients with diabetic kidney disease.