ABSTRACT
Objective@#To explore the value of the constructed prognostic prediction model of resectable lung cancer in predicting the survival and prognosis of patients.@*Methods@#A total of 2 267 patients with primary lung cancer in Shanxi Provincial Cancer Hospital from January 2007 to September 2018 were selected. All patients underwent primary lung cancer surgery without a second primary tumor. Gender, age, occupation, tumor site, pathological type, surgical path, surgical method, tumor stage and treatment were selected as the prognostic factors. A Cox proportional hazard model was used to construct a prognostic index (PI) equation to calculate the PI value of each patient. According to the different ranges of PI values, the low-, intermediate- and high-risk prognosis groups were divided, and the survival status of three groups were evaluated.@*Results@#Gender (RR= 0.684, P= 0.001), age (RR= 0.591, P < 0.01), occupation (RR= 1.439, P= 0.001), pathological type (RR= 3.694, P < 0.01), surgical path (RR= 0.734, P= 0.001), tumor stage (RR= 0.352, P= 0.007) were independent factors affecting the prognosis of patients with resectable lung cancer. Female, ≤65 years old, thoracoscopic surgery, and tumor stage Ⅰ were prognostic protective factors, and their risks of poor prognosis were reduced by 31.6%, 40.9%, 26.6%, and 64.8%, respectively. Farmer and adenosquamous carcinoma were prognostic risk factors, and their risks of poor prognosis were increased by 43.9% and 269.4%, respectively. The PI equation was ∑βixi=-0.380 X1-0.526 X2+0.364 X31+1.307 X55-0.309 X6-1.045 X81 (X1 was the gender, X2 was the age, X31 was the occupation as a farmer, X55 was the pathological type of adenosquamous carcinoma, X6 was the surgical path, X81 was the tumor stage Ⅰ). PI <-1 was the low-risk group, PI ≥-1 and ≤-0.5 was the intermediate-risk group, PI >-0.5 was the high-risk group, and the differences of their survival rates were statistically significant (P < 0.05). The 1-, 3-, and 5-year survival rates for the low-, risk groups were 96.8%, 87.0% and 77.9%; the intermediate-risk group were 91.8%, 82.2% and 61.7%; the high-risk group were 86.5%, 61.7% and 50.3%. respectively.@*Conclusion@#The prognostic prediction model of resectable lung cancer can predict the prognosis risk and the corresponding survival rate of patients with resectable lung cancer, and it can help clinicians to evaluate the prognosis and formulate subsequent treatment plans.
ABSTRACT
Objective:To explore the value of the constructed prognostic prediction model of resectable lung cancer in predicting the survival and prognosis of patients.Methods:A total of 2 267 patients with primary lung cancer in Shanxi Provincial Cancer Hospital from January 2007 to September 2018 were selected. All patients underwent primary lung cancer surgery without a second primary tumor. Gender, age, occupation, tumor site, pathological type, surgical path, surgical method, tumor stage and treatment were selected as the prognostic factors. A Cox proportional hazard model was used to construct a prognostic index (PI) equation to calculate the PI value of each patient. According to the different ranges of PI values, the low-, intermediate- and high-risk prognosis groups were divided, and the survival status of three groups were evaluated.Results:Gender ( RR= 0.684, P= 0.001), age ( RR= 0.591, P < 0.01), occupation ( RR= 1.439, P= 0.001), pathological type ( RR= 3.694, P < 0.01), surgical path ( RR= 0.734, P= 0.001), tumor stage ( RR= 0.352, P= 0.007) were independent factors affecting the prognosis of patients with resectable lung cancer. Female, ≤65 years old, thoracoscopic surgery, and tumor stage Ⅰ were prognostic protective factors, and their risks of poor prognosis were reduced by 31.6%, 40.9%, 26.6%, and 64.8%, respectively. Farmer and adenosquamous carcinoma were prognostic risk factors, and their risks of poor prognosis were increased by 43.9% and 269.4%, respectively. The PI equation was ∑β ix i=-0.380 X 1-0.526 X 2+0.364 X 31+1.307 X 55-0.309 X 6-1.045 X 81 (X 1 was the gender, X 2 was the age, X 31 was the occupation as a farmer, X 55 was the pathological type of adenosquamous carcinoma, X 6 was the surgical path, X 81 was the tumor stage Ⅰ). PI <-1 was the low-risk group, PI ≥-1 and ≤-0.5 was the intermediate-risk group, PI >-0.5 was the high-risk group, and the differences of their survival rates were statistically significant ( P < 0.05). The 1-, 3-, and 5-year survival rates for the low-, risk groups were 96.8%, 87.0% and 77.9%; the intermediate-risk group were 91.8%, 82.2% and 61.7%; the high-risk group were 86.5%, 61.7% and 50.3%. respectively. Conclusion:The prognostic prediction model of resectable lung cancer can predict the prognosis risk and the corresponding survival rate of patients with resectable lung cancer, and it can help clinicians to evaluate the prognosis and formulate subsequent treatment plans.
ABSTRACT
Objective To explore the effect of macrophage colony stimulating factor (M-CSF) on lung cancer cell line A549. Methods After M-CSF at 0.1, 1 and 10 ng/ml was given to cultured A549 cells for 0, 24, 48, 72 and 92 h respectively, their morphological changes were observed with inverted microscopy, proliferation was measured by MTT assay, and cell cycles were determined by flow cytometry. RT-PCR was used to detect the change of expression of M-CSF receptor. Result The growth of A549 was significantly inhibited by M-CSF in a concentration- and time- dependent manner. The maximum response was obtained at 10 ng/ml of M-CSF. Flow cytometric analysis revealed that the treated A549 cells arrested at the G0/G1 phase of the cell cycle. RT-PCR showed that the mRNA expression of M-CSF receptor was reduced after the M-CSF treatment. Conclusion M-CSF has an anti-tumour activity on lung cancer cell A549.