Humans ; Diagnosis, Differential ; Constriction, Pathologic/diagnosis* ; Bile Duct Neoplasms/diagnosis* ; Endoscopy, Digestive System

Objective: To identify in what phases in the treatment of head and neck cancer do delays happen at a tertiary hospital and to determine the association between the length of treatment delays and the oncologic outcomes (disease-free survival and overall survival) for patients with head and neck cancer. : Methods Design: Retrospective Cohort Study Setting: Tertiary National University Hospital Participants: Sixty-eight (68) patients who had surgery and adjuvant radiotherapy for invasive head and neck cancer at the Philippine General Hospital during the 5-year period of January 2014 to December 2019 were included in the initial consideration. Only 15 had survival data and were thus eligible for inclusion in this study. Results: The median treatment package time for head and neck cancers in our institution was 27.6 weeks or 193 days. The treatment package time statistically correlated with both overall survival, F(1,13)=12.952, p <0.005, R2=0.499, and disease-free survival, F(1-13)=12.823, p <0.005, R2= 0.497. However, the independent effects of other predictors such as time interval between first consult to histopathologic diagnosis, diagnosis to surgery, and surgery to post-operative radiotherapy, showed no statistically significant association with overall survival and disease free survival. Conclusion All study patients experienced treatment delays from diagnosis to surgery, and surgery to adjuvant radiation therapy, and in their total treatment package time. The positive correlation among treatment package time, and disease-free and overall survival in this study must be further investigated in order to elucidate the true effect of delays across time intervals in the treatment of head and neck cancer in the Philippine General Hospital. Every effort should be made towards timely management of these patients.
Head and Neck Neoplasms ; Radiotherapy ; Survival Rate ; Treatment Outcome ; Time-to-Treatment ; Surgery ; Disease-Free Survival ; Delayed Diagnosis ; Retrospective Studies ; Postoperative Care

After the first outbreak of corona virus disease 2019 (COVID-19) at the end of 2019, it has caused multiple rounds of transmission in many countries around the world. Cancer patients are mainly elderly people, and the immunosuppression state caused by the tumor itself and anti-tumor treatment, more accompanying underlying diseases, and more hospital environmental exposure leading to a higher incidence of COVID-19 infection. The proportion of severe cases after infection is high, and the mortality is high. Therefore, based on the domestic and foreign research and clinical practice, the Expert Committee of Geriatric Cancer Prevention and Treatment of Chinese Society of Clinical Oncology launched a discussion based on the characteristics of cancer patients, including the epidemiology, clinical manifestations, differential diagnosis, definition and risk factors of severe cases, diagnosis and treatment recommendations, recovery of anti-tumor treatment and vaccination recommendations. To provide the corresponding suggestions for the clinical diagnosis and treatment of such patients.
Humans ; Adult ; Aged ; COVID-19/diagnosis* ; Neoplasms/epidemiology* ; Incidence ; Disease Outbreaks ; Diagnosis, Differential ; COVID-19 Testing

Colorectal cancer (CRC) has become a major medical and public health threat to human life and health. At present, the clinical diagnosis and treatment of CRC mainly depends on the laboratory tests. With the increasing demand for treatment and prognosis, screening methods for CRC are emerging. In order to provide a reference for reasonable selection of laboratory diagnostic biomarkers, and further improve the accuracy and reliability of colorectal cancer screening, auxiliary diagnosis, efficacy monitoring, as well as prognostic evaluation, this article reviews the laboratory screening and diagnostic methods for CRC, and makes outlook for the future detection markers of CRC.
Humans ; Biomarkers, Tumor ; Reproducibility of Results ; Colorectal Neoplasms/diagnosis*

Objective: To analyze the characteristics of human papillomavirus (HPV) infection and the distribution of HPV subtypes in Shijiazhuang, Hebei Province, and to explore the application evaluation of multiple PCR capillary electrophoresis fragment analysis for HPV typing test. Methods: A population-based cross-sectional study was conducted among 434 women (age range 17 to 74 years old, 260 patients and 174 physical examinations) included from May to August 2022 in Hebei General Hospital. HPV typing was detected by multiple PCR-capillary electrophoresis fragment analysis. Using the multiple fluorescence quantitative PCR kit as a reference, Chi-square test was used to analyze the diagnostic effect of multiple PCR-capillary electrophoresis fragment analysis, and the consistency was analyzed by Kappa value. Results: The total HPV infection rate was 45.85%(199/434), including 35.48% (154/434) of high-risk HPV (HR-HPV), 3.92% (17/434) of low-risk HPV (LR-HPV), 6.45% (28/434) of HR-HPV and LR-HPV mixed infection, 27.88% (121/434) of single type HPV and 17.97% (78/434) of multi type HPV. HPV52 (9.68%, 42/434), HPV16 (6.91%, 30/434), and HPV58 (6.91%, 30/434) are common HPV subtypes. The positive rate of physical examination was 45.40% (79/174), which was slightly lower than that of patients 46.15% (120/260), there was no significant difference (χ²=0.024,P>0.05). The highest infection rate in the 17-30 age group was 54.76% (46/84), and there was no statistical difference among the age groups(χ²=4.123,P>0.05). The sensitivity and specificity of multiplex PCR capillary electrophoresis fragment analysis were 92.96% and 94.04%, respectively, and Kappa value was 0.870, with the multiplex fluorescent quantitative PCR as the reference. Conclusion: HPV infection may appear younger, and the positive rate of HR-HPV infection is the highest, with HPV52, 16, 58 as the main infection subtypes. The detection results of multiplex PCR capillary electrophoresis fragment analysis method are highly consistent with those of multiplex fluorescent quantitative PCR method, which is suitable for HPV DNA typing.
Humans ; Female ; Adolescent ; Young Adult ; Adult ; Middle Aged ; Aged ; Uterine Cervical Neoplasms ; Multiplex Polymerase Chain Reaction ; Papillomavirus Infections/diagnosis* ; Cross-Sectional Studies ; Genotype ; Papillomaviridae/genetics*

Humans ; Child ; Child, Preschool ; Pinealoma ; Prognosis ; Brain Neoplasms/diagnosis* ; Pineal Gland

Objective: To investigate the expression of CD24 gene in human malignant pleural mesothelioma (MPM) cells and tissues, and evaluate its relationship with clinicopathological characteristics and clinical prognosis of MPM patients. Methods: In February 2021, UALCAN database was used to analyze the correlation between CD24 gene expression and clinicopathological characteristics in 87 cases of MPM patients. The TIMER 2.0 platform was used to explore the relationship between the expression of CD24 in MPM and tumor immune infiltrating cells. cBioportal online tool was used to analyze the correlation between CD24 and MPM tumor marker gene expression. RT-qPCR was used to analyze the expressions of CD24 gene in human normal pleural mesothelial cell lines LP9 and MPM cell lines NCI-H28 (epithelial type), NCI-H2052 (sarcoma type), and NCI-H2452 (biphasic mixed type). RT-qPCR was performed to detect the expressions of CD24 gene in 18 cases of MPM tissues and matched normal pleural tissues. The expression difference of CD24 protein in normal mesothelial tissue and MPM tissue was analyzed by immunohistochemistry. A Kaplan-Meier model was constructed to explore the influence of CD24 gene expression on the prognosis of MPM patients, and Cox regression analysis of prognostic factors in MPM patients was performed. Results: The CD24 gene expression without TP53 mutation MPM patients was significantly higher than that of patients in TP53 mutation (P<0.05). The expression of CD24 gene in MPM was positively correlated with B cells (r(s)=0.37, P<0.001). The expression of CD24 gene had a positive correlation with the expressions of thrombospondin 2 (THBS2) (r(s)=0.26, P<0.05), and had a negative correlation with the expression of epidermal growth factor containing fibulin like extracellular matrix protein 1 (EFEMP1), mesothelin (MSLN) and calbindin 2 (CALB2) (r(s)=-0.31, -0.52, -0.43, P<0.05). RT-qPCR showed that the expression level of CD24 gene in MPM cells (NCI-H28, NCI-H2052 and NCI-H2452) was significantly higher than that in normal pleural mesothelial LP9 cells. The expression level of CD24 gene in MPM tissues was significantly higher than that in matched normal pleural tissues (P<0.05). Immunohistochemistry showed that the expressions of CD24 protein in epithelial and sarcoma MPM tissues were higher than those of matched normal pleural tissues. Compared with low expression of CD24 gene, MPM patients with high expression of CD24 gene had lower overall survival (HR=2.100, 95%CI: 1.336-3.424, P<0.05) and disease-free survival (HR=1.800, 95%CI: 1.026-2.625, P<0.05). Cox multivariate analysis showed that compared with the biphasic mixed type, the epithelial type was a protective factor for the prognosis of MPM patients (HR=0.321, 95%CI: 0.172-0.623, P<0.001). Compared with low expression of CD24 gene, high expression of CD24 gene was an independent risk factor for the prognosis of MPM patients (HR=2.412, 95%CI: 1.291-4.492, P=0.006) . Conclusion: CD24 gene and protein are highly expressed in MPM tissues, and the high expression of CD24 gene suggests poor prognosis in MPM patients.
Humans ; Mesothelioma, Malignant ; Mesothelioma/diagnosis* ; Lung Neoplasms/genetics* ; Pleural Neoplasms/diagnosis* ; Prognosis ; Biomarkers, Tumor/analysis* ; Extracellular Matrix Proteins ; CD24 Antigen/genetics*

Fibro-osseous lesions is a class of diseases with obvious similarities in clinical manifestations and pathological features, which has been attracting the attention of clinicians and pathologists. The latest WHO 2022 Classification (5th edition) included six of these diseases (cemento-osseous dysplasia, segmental odontomaxillary dysplasia, fibrous dysplasia, juvenile trabecular ossifying fibroma, psammomatoid ossifying fibroma and familial gigantiform cementoma) in the " fibro-osseous tumours and dysplasias ", and put forward new ideas on the diagnosis and treatment of these diseases. According to the latest WHO 2022 Classification (5th edition), the clinical and pathological features, diagnosis and differential diagnosis of these six diseases were described.
Humans ; Fibroma, Ossifying/pathology* ; Diagnosis, Differential ; Cementoma/pathology* ; Jaw Neoplasms ; Facial Bones

What are the new contents of the guideline since 2010?A.Patients with primary and non-primary sclerosing cholangitis (PSC) are included in these guidelines for the diagnosis and management of cholangiocarcinoma.B.Define "related stricture" as any biliary or hepatic duct stricture accompanied by the signs or symptoms of obstructive cholestasis and/or bacterial cholangitis.C.Patients who have had an inconclusive report from MRI and cholangiopancreatography should be reexamined by high-quality MRI/cholangiopancreatography for diagnostic purposes. Endoscopic retrograde cholangiopancreatography should be avoided for the diagnosis of PSC.D. Patients with PSC and unknown inflammatory bowel disease (IBD) should undergo diagnostic colonoscopic histological sampling, with follow-up examination every five years until IBD is detected.E. PSC patients with IBD should begin colon cancer monitoring at 15 years of age.F. Individual incidence rates should be interpreted with caution when using the new clinical risk tool for PSC for risk stratification.G. All patients with PSC should be considered for clinical trials; however, if ursodeoxycholic acid (13-23 mg/kg/day) is well tolerated and after 12 months of treatment, alkaline phosphatase (γ- Glutamyltransferase in children) and/or symptoms are significantly improved, it can be considered to continue to be used.H. Endoscopic retrograde cholangiopancreatography with cholangiocytology brushing and fluorescence in situ hybridization analysis should be performed on all patients suspected of having hilar or distal cholangiocarcinoma.I.Patients with PSC and recurrent cholangitis are now included in the new unified network organ sharing policy for the end-stage liver disease model standard.J. Liver transplantation is recommended after neoadjuvant therapy for patients with unresectable hilar cholangiocarcinoma with diameter < 3 cm or combined with PSC and no intrahepatic (extrahepatic) metastases.
Child ; Humans ; Cholangitis, Sclerosing/diagnosis* ; Constriction, Pathologic/complications* ; In Situ Hybridization, Fluorescence ; Cholangiocarcinoma/therapy* ; Liver Diseases/complications* ; Cholestasis ; Inflammatory Bowel Diseases/therapy* ; Bile Ducts, Intrahepatic/pathology* ; Bile Duct Neoplasms/therapy*

This study investigated whether free prostate-specific antigen (fPSA) performs better than total PSA (tPSA) in predicting prostate volume (PV) in Chinese men with different PSA levels. A total of 5463 men with PSA levels of <10 ng ml^-1 and without prostate cancer diagnosis were included in this study. Patients were classified into four groups: PSA <2.5 ng ml^-1, 2.5-3.9 ng ml^-1, 4.0-9.9 ng ml^-1, and 2.5-9.9 ng ml^-1. Pearson/Spearman's correlation coefficient (r) and receiver operating characteristic (ROC) curves were used to evaluate the ability of tPSA and fPSA to predict PV. The correlation coefficient between tPSA and PV in the PSA <2.5 ng ml^-1 cohort (r = 0.422; P < 0.001) was markedly higher than those of the cohorts with PSA levels of 2.5-3.9 ng ml^-1, 4.0-9.9 ng ml^-1, and 2.5-9.9 ng ml^-1 (r = 0.114, 0.167, and 0.264, respectively; all P ≤ 0.001), while fPSA levels did not differ significantly among different PSA groups. Area under ROC curve (AUC) analyses revealed that the performance of fPSA in predicting PV ≥40 ml (AUC: 0.694, 0.714, and 0.727) was better than that of tPSA (AUC = 0.545, 0.561, and 0.611) in men with PSA levels of 2.5-3.9 ng ml^-1, 4.0-9.9 ng ml^-1, and 2.5-9.9 ng ml^-1, respectively, but not at PSA levels of <2.5 ng ml^-1 (AUC: 0.713 vs 0.720). These findings suggest that the relationship between tPSA and PV may vary with PSA level and that fPSA is more powerful at predicting PV only in the ''gray zone'' (PSA levels of 2.5-9.9 ng ml^-1), but its performance was similar to that of tPSA at PSA levels of <2.5 ng ml^-1.
Male ; Humans ; Prostate-Specific Antigen ; Prostate ; East Asian People ; Prostatic Neoplasms/diagnosis* ; ROC Curve