ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
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 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.