Objective: To evaluate the effect of operation timing during menstrual cycle on the prognosis of patients with breast cancer. Methods: 218 operated premenopausal patients with breast cancer had been followedup for m...Objective: To evaluate the effect of operation timing during menstrual cycle on the prognosis of patients with breast cancer. Methods: 218 operated premenopausal patients with breast cancer had been followedup for more than 10 years. Prognostic factors related to these patients had been selected to be underwent univariate analysis and multivariate analysis by Cox regression model. Results: Univariage analysis showed that the menstrual timing of operation, as other Known prognostic factors (tumor size, node status, histological grade, TNM classification, adjuvent systemic therapy, etc), had an influence on the patients' outcome. Multivariate analysis by Cox regression model indicated that diseasefree rate and overall survival rate of patients operated during the periovulatory phase (123 cases) were significantly superior to those operated during the premenstrual phase (95 cases) (P<0.01). There were no significant differences in prognosis between patients who received operations during the follicular phase (96 cases) and those during the luteal phase (122 cases) (P>0.01). Conclusion: Probably there is an optimal timing of operation for premenopausal breast cancer patients. Any prospective, randomized clinical study should be carried out to make this problem clear.展开更多
Objective: The aim of the study was to investigate the level of self-image of patients after breast cancer surgery, and explore factors influencing self-image among patients who have experienced different types of sur...Objective: The aim of the study was to investigate the level of self-image of patients after breast cancer surgery, and explore factors influencing self-image among patients who have experienced different types of surgeries, and set out a foundation for the improvement of care strategies. Methods: The 538 patients with primary breast cancer who underwent surgery in the Department of Breast Surgery, First Hospital of China Medical University, Shenyang, China, from January 2004 to January 2009 were included in the study. The psychological status of the patients was evaluated by body image after breast cancer questionnaire (BIBCQ), social support rating scale (SSRS), self-rating anxiety scale (SRAS), depression rating scale (DRS), and general information questionnaire. The factors influencing the self-image were selected by a stepwise regression analysis. Results: The patients who underwent breast-conserving surgery were the most satisfied with their body image, followed by those underwent surgery of modified radical mastectomy with reconstruction. However, cases treated by modified radical mastectomy without reconstruction had negative outcomes. Regardless of operation type, the self-image was influenced by anxiety, level of abuse by husband, and sexual satisfaction after operation. Conclusion: The self-image of patients who underwent different breast cancer surgeries was influenced by different factors, and individualized nursing should be offered in accordance with the specific situation.展开更多
Objective:The aim of this study was evaluate the diagnostic value of computed tomography(CT) perfusion in breast cancer by the method of receiver operator characteristic curve(ROC) analysis.Methods:Eighty-one cases wi...Objective:The aim of this study was evaluate the diagnostic value of computed tomography(CT) perfusion in breast cancer by the method of receiver operator characteristic curve(ROC) analysis.Methods:Eighty-one cases with breast masses found by health examination or mammography were scanned by multi-slice spiral CT(MSCT) perfusion and hemodynamic parameters of blood flow(BF), mean transit time(MTT) and blood volume(BV) were calculated by deconvolution arithmetic.According to the pathologic results, two groups, benign and malignant were classified and statistical analysis were performed between them.The ROC characteristics of BF, MTT, BV were compared for each and the diagnostic value of the hemodynamic parameters were confirmed.Results:In the malignant group, BF was(0.735 ± 0.440) mL/min/mL, MTT was(22.771 ± 7.647) s and BV was 0.234 ± 0.082.In the benign group, BF was(0.466 ± 0.527) mL/min/mL, MTT was(26.712 ± 12.934) s and BV was 0.179 ± 0.117.There was a significant difference for BF and BV between the benign and malignant groups.When the hemodynamic parameters were used to discriminate the breast lesions, the area under the ROC curve(AUCROC) of BF was 0.832 ± 0.086, the maximum, while AUCROC of BV was 0.695 ± 0.092.There was no significant statistical difference between BF and BV.AUCROC of MTT was 0.473 ± 0.102, which was minimal.Since the threshold of BF was 0.381 mL/min/mL, the sensitivity was 82.3%, the specificity was 73.2%, the positive likelihood ratio(LR) was 3.071 and the negative LR was 0.242.The threshold of BV was 0.190 with sensitivity 73.3%, specificity 56.5%, positive likelihood ratio 1.685 and negative LR 0.473.Conclusion:BF and BV among CT hemodynamic parameters have certain diagnostic value in breast cancer, but BF or BV can not yet be single index to confirm or deny the diagnosis.展开更多
Objective: The indication of adjuvant chemotherapy recommendation(ACR) in breast cancer patients with intermediate recurrence score(RS) is controversial. This study investigated the relationship between routine c...Objective: The indication of adjuvant chemotherapy recommendation(ACR) in breast cancer patients with intermediate recurrence score(RS) is controversial. This study investigated the relationship between routine clinicopathological indicators and ACR, and established a nomogram for predicting the probability of ACR in this subset of patients.Methods: Data for a total of 504 consecutive patients with intermediate RS from January 2014 to December2016 were retrospectively reviewed. A nomogram was constructed using a multivariate logistic regression model based on data from a training set(378 cases) and validated in an independent validation set(126 cases). A Youdenderived cut-off value was assigned to the nomogram for accuracy evaluation.Results: The multivariate logistic regression analysis identified that age, histological grade, tumor size, lymph node(LN) status, molecular subtype, and RS were independent predictors of ACR. A nomogram based on these predictors performed well. The P value of the Hosmer-Lemeshow test for the prediction model was 0.286. The area under the curve(AUC) values were 0.905 [95% confidence interval(95% CI): 0.876–0.934] and 0.883(95%CI: 0.824–0.942) in the training and validation sets, respectively. The accuracies of the nomogram for ACR were84.4% in the training set and 82.1% in the validation set.Conclusions: We developed a nomogram to predict the probability of ACR in breast cancer patients with intermediate RS. This model may aid the individual risk assessment and guide treatment decisions in clinical practice.展开更多
Triple-negative breast cancer(TNBC)poses a significant challenge due to the lack of reliable prognostic gene signatures and an understanding of its immune behavior.Methods:We analyzed clinical information and mRNA exp...Triple-negative breast cancer(TNBC)poses a significant challenge due to the lack of reliable prognostic gene signatures and an understanding of its immune behavior.Methods:We analyzed clinical information and mRNA expression data from 162 TNBC patients in TCGA-BRCA and 320 patients in METABRIC-BRCA.Utilizing weighted gene coexpression network analysis,we pinpointed 34 TNBC immune genes linked to survival.The least absolute shrinkage and selection operator Cox regression method identified key TNBC immune candidates for prognosis prediction.We calculated chemotherapy sensitivity scores using the“pRRophetic”package in R software and assessed immunotherapy response using the Tumor Immune Dysfunction and Exclusion algorithm.Results:In this study,34 survival-related TNBC immune gene expression profiles were identified.A least absolute shrinkage and selection operator-Cox regression model was used and 15 candidates were prioritized,with a concomitant establishment of a robust risk immune classifier.The high-risk TNBC immune groups showed increased sensitivity to therapeutic agents like RO-3306,Tamoxifen,Sunitinib,JNK Inhibitor VIII,XMD11-85h,BX-912,and Tivozanib.An analysis of the Search Tool for Interaction of Chemicals database revealed the associations between the high-risk group and signaling pathways,such as those involving Rap1,Ras,and PI3K-Akt.The low-risk group showed a higher immunotherapy response rate,as observed through the tumor immune dysfunction and exclusion analysis in the TCGA-TNBC and METABRIC-TNBC cohorts.Conclusion:This study provides insights into the immune complexities of TNBC,paving the way for novel diagnostic approaches and precision treatment methods that exploit its immunological intricacies,thus offering hope for improved management and outcomes of this challenging disease.展开更多
Magnetic Resonance Imaging has gained popularity in breast cancer diagnosis since the introduction of contrast media, and recent developments in MRI have demonstrated a new potential use in diagnosis. Indeed, the appl...Magnetic Resonance Imaging has gained popularity in breast cancer diagnosis since the introduction of contrast media, and recent developments in MRI have demonstrated a new potential use in diagnosis. Indeed, the application of in vivo spectroscopy to mammary tissue has revealed that the spectral appearance of choline could be a marker of malignancy, but early diagnosis and unambiguous breast cancer characterization could benefit by a standardized protocol for the simultaneous use of Dynamic Contrast Enhancement MRI and Magnetic Resonance Spectroscopy and combined interpretation of associated markers. A total of 29 female patients took part in the study. The combined protocol was performed on a General Electric Signa HDtx 1.5 Tesla, and the DCE data analysis was performed through an evaluation of the ROI signal intensity over time. The MRS data analysis evaluated choline concentration and the signal to noise ratio of the choline peak. Sensitivity, specificity and accuracy were assessed by the Receiver Operating Characteristic methodology for Dynamic Contrast Enhancement, Magnetic Resonance Spectroscopy and their linear combination. We performed a linear combination of Dynamic Contrast Enhancement MRI and 1H-Magnetic Resonance Spectroscopy by distribution free approach to obtain a high level diagnostic index. Combining the results of the two diagnostic tests has resulted in a new, very effective, diagnostic index able to discriminate between patients with and without malignant disease.展开更多
文摘Objective: To evaluate the effect of operation timing during menstrual cycle on the prognosis of patients with breast cancer. Methods: 218 operated premenopausal patients with breast cancer had been followedup for more than 10 years. Prognostic factors related to these patients had been selected to be underwent univariate analysis and multivariate analysis by Cox regression model. Results: Univariage analysis showed that the menstrual timing of operation, as other Known prognostic factors (tumor size, node status, histological grade, TNM classification, adjuvent systemic therapy, etc), had an influence on the patients' outcome. Multivariate analysis by Cox regression model indicated that diseasefree rate and overall survival rate of patients operated during the periovulatory phase (123 cases) were significantly superior to those operated during the premenstrual phase (95 cases) (P<0.01). There were no significant differences in prognosis between patients who received operations during the follicular phase (96 cases) and those during the luteal phase (122 cases) (P>0.01). Conclusion: Probably there is an optimal timing of operation for premenopausal breast cancer patients. Any prospective, randomized clinical study should be carried out to make this problem clear.
文摘Objective: The aim of the study was to investigate the level of self-image of patients after breast cancer surgery, and explore factors influencing self-image among patients who have experienced different types of surgeries, and set out a foundation for the improvement of care strategies. Methods: The 538 patients with primary breast cancer who underwent surgery in the Department of Breast Surgery, First Hospital of China Medical University, Shenyang, China, from January 2004 to January 2009 were included in the study. The psychological status of the patients was evaluated by body image after breast cancer questionnaire (BIBCQ), social support rating scale (SSRS), self-rating anxiety scale (SRAS), depression rating scale (DRS), and general information questionnaire. The factors influencing the self-image were selected by a stepwise regression analysis. Results: The patients who underwent breast-conserving surgery were the most satisfied with their body image, followed by those underwent surgery of modified radical mastectomy with reconstruction. However, cases treated by modified radical mastectomy without reconstruction had negative outcomes. Regardless of operation type, the self-image was influenced by anxiety, level of abuse by husband, and sexual satisfaction after operation. Conclusion: The self-image of patients who underwent different breast cancer surgeries was influenced by different factors, and individualized nursing should be offered in accordance with the specific situation.
文摘Objective:The aim of this study was evaluate the diagnostic value of computed tomography(CT) perfusion in breast cancer by the method of receiver operator characteristic curve(ROC) analysis.Methods:Eighty-one cases with breast masses found by health examination or mammography were scanned by multi-slice spiral CT(MSCT) perfusion and hemodynamic parameters of blood flow(BF), mean transit time(MTT) and blood volume(BV) were calculated by deconvolution arithmetic.According to the pathologic results, two groups, benign and malignant were classified and statistical analysis were performed between them.The ROC characteristics of BF, MTT, BV were compared for each and the diagnostic value of the hemodynamic parameters were confirmed.Results:In the malignant group, BF was(0.735 ± 0.440) mL/min/mL, MTT was(22.771 ± 7.647) s and BV was 0.234 ± 0.082.In the benign group, BF was(0.466 ± 0.527) mL/min/mL, MTT was(26.712 ± 12.934) s and BV was 0.179 ± 0.117.There was a significant difference for BF and BV between the benign and malignant groups.When the hemodynamic parameters were used to discriminate the breast lesions, the area under the ROC curve(AUCROC) of BF was 0.832 ± 0.086, the maximum, while AUCROC of BV was 0.695 ± 0.092.There was no significant statistical difference between BF and BV.AUCROC of MTT was 0.473 ± 0.102, which was minimal.Since the threshold of BF was 0.381 mL/min/mL, the sensitivity was 82.3%, the specificity was 73.2%, the positive likelihood ratio(LR) was 3.071 and the negative LR was 0.242.The threshold of BV was 0.190 with sensitivity 73.3%, specificity 56.5%, positive likelihood ratio 1.685 and negative LR 0.473.Conclusion:BF and BV among CT hemodynamic parameters have certain diagnostic value in breast cancer, but BF or BV can not yet be single index to confirm or deny the diagnosis.
文摘Objective: The indication of adjuvant chemotherapy recommendation(ACR) in breast cancer patients with intermediate recurrence score(RS) is controversial. This study investigated the relationship between routine clinicopathological indicators and ACR, and established a nomogram for predicting the probability of ACR in this subset of patients.Methods: Data for a total of 504 consecutive patients with intermediate RS from January 2014 to December2016 were retrospectively reviewed. A nomogram was constructed using a multivariate logistic regression model based on data from a training set(378 cases) and validated in an independent validation set(126 cases). A Youdenderived cut-off value was assigned to the nomogram for accuracy evaluation.Results: The multivariate logistic regression analysis identified that age, histological grade, tumor size, lymph node(LN) status, molecular subtype, and RS were independent predictors of ACR. A nomogram based on these predictors performed well. The P value of the Hosmer-Lemeshow test for the prediction model was 0.286. The area under the curve(AUC) values were 0.905 [95% confidence interval(95% CI): 0.876–0.934] and 0.883(95%CI: 0.824–0.942) in the training and validation sets, respectively. The accuracies of the nomogram for ACR were84.4% in the training set and 82.1% in the validation set.Conclusions: We developed a nomogram to predict the probability of ACR in breast cancer patients with intermediate RS. This model may aid the individual risk assessment and guide treatment decisions in clinical practice.
文摘Triple-negative breast cancer(TNBC)poses a significant challenge due to the lack of reliable prognostic gene signatures and an understanding of its immune behavior.Methods:We analyzed clinical information and mRNA expression data from 162 TNBC patients in TCGA-BRCA and 320 patients in METABRIC-BRCA.Utilizing weighted gene coexpression network analysis,we pinpointed 34 TNBC immune genes linked to survival.The least absolute shrinkage and selection operator Cox regression method identified key TNBC immune candidates for prognosis prediction.We calculated chemotherapy sensitivity scores using the“pRRophetic”package in R software and assessed immunotherapy response using the Tumor Immune Dysfunction and Exclusion algorithm.Results:In this study,34 survival-related TNBC immune gene expression profiles were identified.A least absolute shrinkage and selection operator-Cox regression model was used and 15 candidates were prioritized,with a concomitant establishment of a robust risk immune classifier.The high-risk TNBC immune groups showed increased sensitivity to therapeutic agents like RO-3306,Tamoxifen,Sunitinib,JNK Inhibitor VIII,XMD11-85h,BX-912,and Tivozanib.An analysis of the Search Tool for Interaction of Chemicals database revealed the associations between the high-risk group and signaling pathways,such as those involving Rap1,Ras,and PI3K-Akt.The low-risk group showed a higher immunotherapy response rate,as observed through the tumor immune dysfunction and exclusion analysis in the TCGA-TNBC and METABRIC-TNBC cohorts.Conclusion:This study provides insights into the immune complexities of TNBC,paving the way for novel diagnostic approaches and precision treatment methods that exploit its immunological intricacies,thus offering hope for improved management and outcomes of this challenging disease.
文摘Magnetic Resonance Imaging has gained popularity in breast cancer diagnosis since the introduction of contrast media, and recent developments in MRI have demonstrated a new potential use in diagnosis. Indeed, the application of in vivo spectroscopy to mammary tissue has revealed that the spectral appearance of choline could be a marker of malignancy, but early diagnosis and unambiguous breast cancer characterization could benefit by a standardized protocol for the simultaneous use of Dynamic Contrast Enhancement MRI and Magnetic Resonance Spectroscopy and combined interpretation of associated markers. A total of 29 female patients took part in the study. The combined protocol was performed on a General Electric Signa HDtx 1.5 Tesla, and the DCE data analysis was performed through an evaluation of the ROI signal intensity over time. The MRS data analysis evaluated choline concentration and the signal to noise ratio of the choline peak. Sensitivity, specificity and accuracy were assessed by the Receiver Operating Characteristic methodology for Dynamic Contrast Enhancement, Magnetic Resonance Spectroscopy and their linear combination. We performed a linear combination of Dynamic Contrast Enhancement MRI and 1H-Magnetic Resonance Spectroscopy by distribution free approach to obtain a high level diagnostic index. Combining the results of the two diagnostic tests has resulted in a new, very effective, diagnostic index able to discriminate between patients with and without malignant disease.