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Esophageal cancer is a common malignant tumor of the upper gastrointestinal tract. Early symptoms of the disease are inconspicuous and the disease is often diagnosed at a later stage, leading to higher morbidity and mortality. Esophageal cancer morbidity and mortality in both genders ranks among the top 10 most common cancers. Early detection and early treatment are effective means to reduce the incidence and mortality of esophageal cancer. Tumor markers play an important role in early diagnosis, treatment monitoring and prognosis evaluation of esophageal cancer. This paper reviews the clinical application of tumor markers related to esophageal cancer and the exploration and application progress of new tumor markers for esophageal cancer.
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OBJECTIVE: To investigate the prognostic factors of esophageal cancer with brain metastasis. METHODS: SEER Stat 8.3.5 was used to collect 39 cases of esophageal cancer with brain metastasis from 2010 to 2015 in the Surveillance, Epidemiology and End RESULTS:(SEER) database. X-tile software was used to determine the best cut-off value of the age. Prognostic factors were analyzed with log-rank and Cox proportional hazard model by SPSS(v25.0). RESULTS: The median survival time of patients with esophageal cancer with brain metastasis was 7.0 months, the 6-month survival rate was 53.3%, and the 1-year survival rate was 16.3%. Only age(χ~2=4.045, P=0.044)was the prognostic factor, while there was insufficient evidence to show whether gender, marriage, race, primary site, histological grade,surgery, pathological type, T stage or N stage was associated with the prognosis of the patients. CONCLUSION: Brain metastasis is a rare metastatic type of esophageal cancer. Age is associated with worse prognosis, while the influences of other risk factors are not clear.Active treatment can lead to better prognosis.
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OBJECTIVE: To construct a model for predicting the prognosis of esophageal cancer bone metastasis. METHODS: The clinical data of 183 patients with esophageal cancer bone metastasis were analyzed retrospectively, and the prognostic factors of patients were analyzed by log-rank method and Cox proportional hazard model. Nomogram was constructed with the accelerated failure-time model.RESULTS: The average survival time(10.0 months, 95% CI:7.758-12.338) of patients aged 28-70 years was longer than that of patients aged 71-91(6.4 months, 95% CI:4.365-8.428)(χ~2=4.077, P=0.043). The prognosis of unmarried patients(average 7.0 months) was worse than that of the married(10.5 months on average)(χ~2=12.841, P<0.001). As for prognoses of different pathological types, the differences between adenocarcinoma(average 10.2 months, 95% CI:7.797-12.548), squamous cell carcinoma(average 6.4 months,95%CI:3.895-8.899) and other types(average 4.0 months, 95% CI:4.000-4.000) were statistically significant(χ~2=7.171, P=0.028).There were also significant differences between the prognoses of patients with different T stage(χ~2=8.833, P=0.032). Nomogram was constructed with the risk factors above and the C-index reached 0.675(95%CI: 0.626-0.725). CONCLUSION: The prognosis of esophageal cancer bone metastasis was poor. Marriage, T stage, histological grade and pathological types were risk factors affecting prognosis, while N stage didn't appear to show obvious effect on prognosis. The nomogram was tested to have a good predictive capacity.
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OBJECTIVE: To analyze the prognostic factors related to liver metastasis of esophageal cancer and establish an effective prediction model. METHODS: The data of 464 cases of esophageal cancer with liver metastasis from 2010 to 2015 was collected from the National Cancer Institute SEER database by SEER stat 8.3.5 software. SPSS(v25.0) was used to analyze the prognostic factors of esophageal cancer liver metastasis and Kaplan-Meier curve was used for survival analysis. We introduced the meaningful variables of single factor analysis in Cox proportional hazard model and multivariate analysis and obtained the independent influencing factors of prognosis.Independent factors were then included in the accelerated failure time model to construct the nomogram. RESULTS: The mean survival time of patients in this study was 11.6 months(95%CI: 10.075-13.209), and their 1-, 3-, and 5-year survival rates were 29.4%, 5.5%, and 0,respectively. Age(HR=1.452, 95% CI: 1.175-1.795), marriage(HR=0.753, 95%CI: 0.611-0.927) and surgery(HR=0.428, 95% CI: 0.227-0.807) were independent prognostic factors for patients. We constructed the nomogram with risk factors of prognosis, and the C-index value was 0.614. CONCLUSION: The prognosis of esophageal cancer liver metastasis is poor. being young, Being married, and surgery are associated with better survival, and the nomogram we have constructed is proved to have good predictive ability.
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OBJECTIVE: To establish a prediction model for the prognosis of patients with esophageal cancer lung metastasis.METHODS: Data from 194 patients with esophageal cancer lung metastasis from 2010 to 2015 was collected from the National Cancer Institute Surveillance, Epidemiology and End RESULTS:(SEER) database. The best cutoff value for age was determined by X-tile software.Prognostic factors were analyzed by SPSS(v25.0) with the log-rank method and the Cox proportional hazard model. Risk factors from univariate analysis were used to construct prediction nomogram with R studio software(version 3.5.1). RESULTS: The median survival time of 194 patients with esophageal cancer lung metastasis was 7.0 months, the 3-month survival rate was 69.9%, and the 1-year survival rate was 27.7%. Age(HR=1.51, 95% CI: 1.066-2.140) and pathological type(HR=0.736, 95% CI: 0.543-0.998) were independent prognostic factors for patients with esophageal cancer lung metastasis. The value of C-index was 0.634(95% CI=0.585-0.683). CONCLUSION: For patients with esophageal cancer lung metastasis, being young and adenocarcinoma are associated with a better prognosis. The prediction of the nomogram is good.
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OBJECTIVE: To investigate the prognostic factors of esophageal cancer with multiple organ metastases and establish a prognostic prediction model. METHODS: Patients data were extracted from the SEER database. The clinical data of 388 patients with esophageal cancer with multiple organ metastases were retrospectively analyzed. Risk factors were analyzed by log-rank method and survival curves were drawn by K-M method. Multivariate analysis was performed by Cox proportional hazard model to obtain independent prognostic factors for multi-organ metastasis of esophageal cancer. A prediction nomogram was further established.RESULTS: The mean survival time of patients in this study was 7.3 months, and the survival rates for 1-, 3-, and 5-year were 15.5%,1.2%, and 0, respectively. Age was an independent prognostic factor. The value of C-index was 0.618. CONCLUSION: The prognosis of esophageal cancer with multiple organ metastases is poor. Age at the diagnosis and patterns of multiple organ metastases are related to the survival time of patients. The prediction nomogram provided a good prognosis prediction.
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Objective To establish an isotope dilution gas chromatography-mass spectrometry(GC-MS)for the determination of chloropropanol esters in fried foods.Methods A total of 88 fried food samples were collected from supermarket,breakfast shop and street breakfast,stalls,the fried food sample with no chloropropanols esters detected was used as the blank sample. Samples were extracted using a solvent extraction method,followed by ester-bond cleavage reaction with sodium methylate-methanol and purification by diatomite solid-supported liquid-liquid extraction column. The derivatives in purified solution was detected by GC-MS after being derivatived with heptafluoro butyrylimidazole. The concentration of chloropropanols esters was quantified by using deuterium isotopes as internal standards. The accuracy of the method for evaluating recovery rate of blank samples was adopted,and the relative standard deviation(RSD)of the recovery rate represents the precision of the method.Results The 3-MCPD ester and 2-MCPD ester had good linear relationship in the concentration range of 25-1000 g/L(r>0.9995). The detection limits of 3-MCPD ester and 2-MCPD ester were 20μg/kg. The recovery rate of fat extracts from blank samples at 25,50,100,and 200μg/kg levels ranged from 89.7% to 103.7%,and RSD<8.4%. The detection rates of 3-MCPD ester and 2-MCPD ester in 88 samples were 81.82% and 70.45% respectively,and the content ranges from not-detected(ND) to 1.65mg/kg and to 0.93 mg/kg respectively.Conclusion The method is simple,accurate and reliable. It is suitable for the determination of chloropropanol esters in fried foods. There is a certain degree of contamination of chloropropanol esters in fried foods,and this comtamination is quite common.
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Objective To develop a HPLC method for the determination of the total flavonol glycosides in health food by acid hydrolysis. Methods The sample was extracted by methanol and was hydrolyzed into 3 aglycones by acid hydrolysis. They were quercetin, kaempferide and isorhamnetin. Chromatographic separation was carried out by the method of HPLC. The content of total flavonol glycosides was calculated. Results Methanol -25% hydrochloric acid solution (4:1) was added into selected samples, then 85 ℃ water bath heating and refluxing were conducted for 30 min. Optimum chromatographic conditions were as follows. Chromatographic column: ODS C18 (150 mm ×4.6 mm,5μm) . Mobile phase: used methanol-0.6% phosphoric acid (47:53) . Column temperature was set at 35 ℃. Detection wavelength was 360 nm. The linear ranges of quercetin, kaempferide and isorhamnetin were (4.766-95.52) μg/mL(r=0.9991) , (5.052-101.0) μg/mL (r=0.9994) and (2.027-48.66) μg/mL (r=0.9994) respectively. The relative standard deviation of the samples was 0.57%. The recovery rate was 98.25% (RSD=3.82%), 99.81% (RSD=3.31%) and 101.8% (RSD=4. 86%) . The detection limits of quercetin and kaempferide were both 0.50 μg, while Isorhamnetin was 0.80 μg, the total flavonol glycosides was 4.52 μg. The content of total flavonol glycosides detected by this method was lower than the content of the total glavonoids detected by the method provided by technical specification for inspection and evaluation of health food (2003 Edition) . Conclusion This method proved to be simple, stable and had strong repeatability and could be used for the determination of total flavonol glycosides in health food.
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In order to fabricate the HLA-DQA1 genotyping chip and develop an integrated, parallel technical platform to type HLA system, a pair of primers and a set of probes were designed according to the sequences of HLA-DQA1 exon 2, where the polymorphism is concentrated. The oligonucleotide chip was made with the methods developed in our laboratory. The target DNA was asymmetrically amplified with the labeled sense primer. The signals were scanned and analyzed after the hybridization between microarray and PCR product. The allele types of the samples were identified. The result was verified by the standard DNA and DNA sequencing. The results showed that the genotyping was successfully carried out in 50 standard DNA samples and 50 clinical samples. Among them, results of the 50 standard DNA samples matched their templates. In the other 50 samples, results of the randomly selected 10 matched their sequencing results except that two of them got the incompletely result. In reproducible tests, the signal reappear rate was 95%. It is concluded that HLA-DQA1 genotyping by using our array system is simple and convenient with satisfied accuracy and reproducibility.