1.Mining gene expression profi le in def icient cold syndrome with characteristics functional modules
Liping YANG ; Rui HUANG ; Luoxin ZHANG ; Miqu WANG ; Wei WU
China Journal of Traditional Chinese Medicine and Pharmacy 2005;0(05):-
Objective:To identify the deficient cold syndrome relevant genes and functional modules,based on gene expression profiles and gene functional knowledge to study the molecular mechanism of deficient cold syndrome.Methods:Screening the differential expression genes with Array Tools,and testing the classificational results to the samples.The Gene Ontology Tool was used for annotating characteristics functional gene,selecting functional modules enriched with differentially expressed genes;and then identifing the feature modules and analyzing their association with the deficient cold syndrome.Results:The accuracy rate of classification samples was 93% with 25 different gene,the accuracy rate was 87%-100% with 11 functional modules.Conclusion:These features function modules had some relevance to the occurrence of deficient cold syndrome.It was more favorable interpretation of the disease by studying functional modules based on gene expression profiles.
2.An investigation of the fertility needs of young patients with breast cancer
Jie JU ; Luoxin ZHANG ; Jian YUE ; Anjie ZHU ; Jiayu WANG ; Yang LUO ; Fei MA ; Pin ZHANG ; Qing LI ; Peng YUAN ; Binghe XU
Chinese Journal of Oncology 2020;42(5):408-412
Objective:To investigate the fertility needs and outcome of pregnancy in patients with young breast cancer in China.Methods:A retrospective cross-sectional investigation was conducted on 374 young breast cancer women from Cancer Hospital, Chinese Academy of Medical Sciences. Young patients with breast cancer were defined as patients who got initial diagnosis of breast cancer at age no more than 40 years old. We conducted a questionnaire survey and collected clinical data from medical chart. Logistic regression model was used to analyze the possible factors influencing patients′ fertility intention.Results:308 young women with breast cancer completed questionnaires, and the response rate was 82.4%. 81 patients (26.3%) had fertility needs after diagnosis. Of them, 6 cases took active measures to preserve fertility. 72 patients (23.4%) received fertility counseling during treatment. 7 patients were successfully pregnant, including four cases who delivered normally. Multivariate logistic regression analysis showed that patients under 35 years old ( OR=4.81), bachelor degree or above ( OR=3.26), receiving breast-conserving surgery ( OR=2.15) and childless patients ( OR=3.03) were more likely to have fertility needs after diagnosis of breast cancer (all P<0.05). Conclusions:The fertility needs of young breast cancer women in China are gradually increasing. Healthcare providers associated with tumor patients should actively offer corresponding fertility consultation and individualized diagnosis and therapy plans for patients with fertility needs.
3.An investigation of the fertility needs of young patients with breast cancer
Jie JU ; Luoxin ZHANG ; Jian YUE ; Anjie ZHU ; Jiayu WANG ; Yang LUO ; Fei MA ; Pin ZHANG ; Qing LI ; Peng YUAN ; Binghe XU
Chinese Journal of Oncology 2020;42(5):408-412
Objective:To investigate the fertility needs and outcome of pregnancy in patients with young breast cancer in China.Methods:A retrospective cross-sectional investigation was conducted on 374 young breast cancer women from Cancer Hospital, Chinese Academy of Medical Sciences. Young patients with breast cancer were defined as patients who got initial diagnosis of breast cancer at age no more than 40 years old. We conducted a questionnaire survey and collected clinical data from medical chart. Logistic regression model was used to analyze the possible factors influencing patients′ fertility intention.Results:308 young women with breast cancer completed questionnaires, and the response rate was 82.4%. 81 patients (26.3%) had fertility needs after diagnosis. Of them, 6 cases took active measures to preserve fertility. 72 patients (23.4%) received fertility counseling during treatment. 7 patients were successfully pregnant, including four cases who delivered normally. Multivariate logistic regression analysis showed that patients under 35 years old ( OR=4.81), bachelor degree or above ( OR=3.26), receiving breast-conserving surgery ( OR=2.15) and childless patients ( OR=3.03) were more likely to have fertility needs after diagnosis of breast cancer (all P<0.05). Conclusions:The fertility needs of young breast cancer women in China are gradually increasing. Healthcare providers associated with tumor patients should actively offer corresponding fertility consultation and individualized diagnosis and therapy plans for patients with fertility needs.