1.Clinical study on the bone marrow micrometastases in patients with non-small cell lung cancer by immunohistochemical techniques.
Wuwei YANG ; Yunhua BAO ; Weina MA ; Fengjun XIAO ; Xiaodian HU
Chinese Journal of Lung Cancer 2002;5(5):341-344
BACKGROUNDTo investigate the immunohistochemical detected method and the clinical incidence of the bone marrow micrometastases (BMM) in patients with non-small cell lung cancer (NSCLC) and to analyze the sensitivity and specificity and clinical application value.
METHODSBone marrow samples were collected from the anterior superior iliac spines or posterior superior iliac spines of 53 patients with NSCLC in clinical stage I to III and 15 patients in stage IV, and the BMM was detected by immunohistochemical techniques (IHC) using monoclonal antibodies AE1/AE3 against cytokeratin. Chi-square test was used statistically.
RESULTSThe IHC sensitivity could be 10⁻⁵. The BMM positive rate was 22.6% (12/53) in stage I to III and 53.3% (8/15) in stage IV, and there was a significant difference in the BMM positive rate between stage I to III and stage IV (P < 0.05). No correlation was observed between BMM and sex, age, KPS, pathology classification and cancer cell differentiation.
CONCLUSIONSThe detection of BMM by IHC is convenient, sensitive, and specific. It might be helpful to diagnose bone marrow micrometastasis in patients with NSCLC.
2.Application of serum markers in medullary thyroid carcinoma
Xiaodian HAN ; Renquan LU ; Haoyun HU ; Lin GUO
Chinese Journal of Preventive Medicine 2021;55(12):1468-1474
Objective:To discuss the diagnostic value of calcitonin(CT), carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), pro-gastrin releasing peptide (Pro-GRP) and chromogranin A (CgA) in the identification of medullary thyroid carcinoma (MTC).Methods:The CT levels in 105 cases of MTC, 50 cases of papillary thyroid carcinoma, 10 cases of thyroid follicular carcinoma, 5 cases of undifferentiated thyroid carcinoma, 50 cases of benign thyroid diseases, 30 cases of non-thyroid malignant tumors and 50 cases of healthy controls were measured from February 2017 to August 2019 at the Department of Clinical Laboratory, Cancer Hospital affliated to Fudan University. Additionally, 79 cases of MTC, 30 cases of non-MTC thyroid malignant tumors and 30 healthy controls were selected for the measurement of CEA, NSE, Pro-GRP and CgA levels. The receiver operating curve was utilized to clarify the area under the curve (AUC), sensitivity, and specificity of each indicator to distinguish between different groups.Results:The medians of CT concentrations in the group of MTC patients was 607.2 (152.5,2 777.5)pg/ml, which was statistically significantly higher than that of the subjects in the group of papillary thyroid carcinoma 1.48 (0.5,2.91)pg/ml, follicular thyroid carcinoma 1.90 (0.82,2.99)pg/ml, undifferentiated thyroid carcinoma 0.50 (0.50,4.93)pg/ml, benign thyroid disease 1.30 (0.50,2.79)pg/ml, non-thyroid malignancies 1.36 (0.50,2.89)pg/ml and healthy controls 2.05 (0.89,3.18)pg/ml. The sensitivity, specificity and AUC of CT to distinguish MTC vs. non-MTC patients was 96.2%, 99.3% and 0.99, respectively. The maximum diameter (>1 cm, P=0.001, OR=15.74) and number (>1, P=0.04, OR=3.4) of nodules were two independent risk factors for elevated CT. CEA (AUC=0.94), NSE (AUC=0.65), Pro-GRP (AUC=0.94) and CgA (AUC=0.83) could all distinguish MTC vs. non-MTC thyroid malignancies. The AUC, sensitivity and specificity by combining CT, CEA, NSE, Pro-GRP and CgA to differentiate MTC vs. non-MTC thyroid malignancies was 1, 100% and 100%, respectively. Conclusions:CT, CEA, NSE, Pro-GRP and CgA may be helpful for the auxiliary diagnosis of MTC. The combination of these indicators in the diagnosis of MTC has high sensitivity and specificity.
3.Application of serum markers in medullary thyroid carcinoma
Xiaodian HAN ; Renquan LU ; Haoyun HU ; Lin GUO
Chinese Journal of Preventive Medicine 2021;55(12):1468-1474
Objective:To discuss the diagnostic value of calcitonin(CT), carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), pro-gastrin releasing peptide (Pro-GRP) and chromogranin A (CgA) in the identification of medullary thyroid carcinoma (MTC).Methods:The CT levels in 105 cases of MTC, 50 cases of papillary thyroid carcinoma, 10 cases of thyroid follicular carcinoma, 5 cases of undifferentiated thyroid carcinoma, 50 cases of benign thyroid diseases, 30 cases of non-thyroid malignant tumors and 50 cases of healthy controls were measured from February 2017 to August 2019 at the Department of Clinical Laboratory, Cancer Hospital affliated to Fudan University. Additionally, 79 cases of MTC, 30 cases of non-MTC thyroid malignant tumors and 30 healthy controls were selected for the measurement of CEA, NSE, Pro-GRP and CgA levels. The receiver operating curve was utilized to clarify the area under the curve (AUC), sensitivity, and specificity of each indicator to distinguish between different groups.Results:The medians of CT concentrations in the group of MTC patients was 607.2 (152.5,2 777.5)pg/ml, which was statistically significantly higher than that of the subjects in the group of papillary thyroid carcinoma 1.48 (0.5,2.91)pg/ml, follicular thyroid carcinoma 1.90 (0.82,2.99)pg/ml, undifferentiated thyroid carcinoma 0.50 (0.50,4.93)pg/ml, benign thyroid disease 1.30 (0.50,2.79)pg/ml, non-thyroid malignancies 1.36 (0.50,2.89)pg/ml and healthy controls 2.05 (0.89,3.18)pg/ml. The sensitivity, specificity and AUC of CT to distinguish MTC vs. non-MTC patients was 96.2%, 99.3% and 0.99, respectively. The maximum diameter (>1 cm, P=0.001, OR=15.74) and number (>1, P=0.04, OR=3.4) of nodules were two independent risk factors for elevated CT. CEA (AUC=0.94), NSE (AUC=0.65), Pro-GRP (AUC=0.94) and CgA (AUC=0.83) could all distinguish MTC vs. non-MTC thyroid malignancies. The AUC, sensitivity and specificity by combining CT, CEA, NSE, Pro-GRP and CgA to differentiate MTC vs. non-MTC thyroid malignancies was 1, 100% and 100%, respectively. Conclusions:CT, CEA, NSE, Pro-GRP and CgA may be helpful for the auxiliary diagnosis of MTC. The combination of these indicators in the diagnosis of MTC has high sensitivity and specificity.
4.Amifostin in protection of kidney from cisplatinum injury.
Huijuan CUI ; Shujun ZHANG ; Peiwen LI ; Zhongzhen GUAN ; Xiaofei SUN ; Keng SHEN ; Ming WU ; Xiaodian HU ; Shujun LIU ; Lijun DI ; Shucai ZHANG
Chinese Journal of Oncology 2002;24(1):48-50
OBJECTIVETo evaluate Amifostin's effect on protecting kidney from cisplatinum (DDP) injury and its adverse reactions and safety.
METHODS193 Patients were divided into two groups randomly: 102 in group A (treatment group) and 91 in group B (control group). Indexes such as blood routine, blood calcium, liver function, blood urea nitrogen (BUN), cretinine (C), and urinary N-acetyl-beta-D-glucosaminidase (NAG)/C and micro-albumin (MAB/C) were monitored at different intervals before or after treatment.
RESULTSIn the two courses of treatment in both groups, the deviation (D) values of MAB/C before treatment and on D2 in group A were lower than those in grop B (P < 0.05), so were those before treatment and on D4, D6, D10 and D14 (P < 0.01). The D-values of NAG/C before treatment and on D4, D6, D10 and D14 in the first course of group A were obviously lower than those on the corresponding days in group B (P < 0.01), so were those before treatment and on D2, D4, D6, D10 and D14 in the second course (P < 0.01).
CONCLUSIONThe reduction of MAB/C and NAG/C by Amifostin in group A demonstrates that: Amifostin is able to effectively protect the renal function, regardless of the type of tumor. In contrast with group B, Amifostin in group A shows no protection for tumor in lung cancer and ovarian cancer. The main side effects of Amifostin are mild hypotension, nausea, vomiting and hypocalcemia in some patients.
Adult ; Aged ; Amifostine ; adverse effects ; therapeutic use ; Antineoplastic Agents ; adverse effects ; Cisplatin ; adverse effects ; Humans ; Kidney Diseases ; chemically induced ; prevention & control ; Middle Aged ; Protective Agents ; adverse effects ; therapeutic use
5.Establishment of Mathematical Models for Skeletal Age Determination of Extremitas Sternalis of Clavicle in Shanxi Adolescents.
Hua Hua ZHANG ; Chen ZHAO ; Hu Yue LIU ; Na LI ; Ya Hui WANG ; Jun Hong SUN ; Li LU
Journal of Forensic Medicine 2020;36(5):631-635
Objective To develop mathematical models for skeletal age determination with multiple statistic method based on the correlation between age and the growth of the epiphysis of extremitas sternalis of clavicle in Shanxi adolescents. Methods The 562 Shanxi sternoclavicular joint samples (454 cases of modelling, 108 cases of external verification) were scanned by the thin-section computed tomography. After volume rendering was obtained, indicators such as area of epiphysis, area of metaphysis, longest diameter of epiphysis and longest diameter of metaphysis of both extremitas sternalis of clavicle were collected. Indicators such as the ratio of area of epiphysis to area of metaphysis, and the ratio of longest diameter of epiphysis to longest diameter of metaphysis of both sides were calculated. Then multiple linear regression and random forest discriminant models were used to build mathematical models for age determination of adolescents. Results The obtained indicators exhibited a strong correlation with age (r>0.85). The multiple linear regression model for males and females (all 4 indicators entering the model) based on the ratio of longest diameter of epiphysis to longest diameter of metaphysis and the ratio of area of epiphysis to area of metaphysis had an internal validation accuracy rate (±1.0 year) of over 92% and 108 cases had an external validation accuracy rate of over 70% (±1.0 year). The out of bag error rates of random forest discriminant models were less than 2% for people over 18.0 years old (≥18.0 years old) and under 18.0 years old. The external validation accuracy rates of the 108 cases were over 80%. Conclusion The regression and discriminant models established in this study have certain reliability and accuracy and can be used in age determination of Shanxi adolescents.
Adolescent
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Age Determination by Skeleton
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Clavicle/diagnostic imaging*
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Epiphyses/diagnostic imaging*
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Female
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Forensic Anthropology
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Humans
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Male
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Models, Theoretical
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Osteogenesis
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Reproducibility of Results