ObjectiveTo explore the value of multidisciplinary team (MDT) discussion in the comprehensive treatment of HER-2 positive breast cancer.MethodThe clinical data of 2 patients with HER-2 positive breast cancer admitted to the Affiliated Hospital of Southwest Medical University after MDT discussions were analyzed retrospectively.ResultsCase 1 was a 32-year-old woman diagnosed with left breast non-special type invasive carcinoma at admission, cT2N1M0, stage ⅡB, WHO grade 2, ER (–), PR (–), HER-2 (+++), Ki-67 (+, 20%). After MDT discussion, the patient was treated with neoadjuvant chemotherapy for 6 cycles, and the efficacy evaluation was partial response, received left breast conserving surgery and axillary lymph node dissection (ALND), postoperative staging ypT1aN1ycM0, stage ⅡA, Miller-Payne grade 4, the patient was satisfied with the shape of breast, received radiotherapy and anti-HER-2 therapy after surgery. At present, there was no recurrence and metastasis during anti-HER-2 therapy. Case 2 was diagnosed with right breast non-special type invasive carcinoma at admission, cT3N0M0, stage ⅡB, WHO grade 3, ER (–), PR (–), HER-2 (+++), Ki-67 (+, 40%), local advanced breast cancer. After MDT discussion, the patient was treated with neoadjuvant chemotherapy for 2 cycles, and the efficacy evaluation was progressive disease. After the replacement of two neoadjuvant chemotherapy regimen, the efficacy evaluation was still progressive disease. Finally after MDT discussion, the patient received right breast mastectomy and ALND, postoperative staging ypT4bN1ycM0, stage ⅢB, Miller-Payne grade 1, received radiotherapy, adjuvant treatment with pyrotinib and capecitabine after surgery. The patient was followed up for 3 months by telephone, the patient did not follow the doctor’ instructions, no recurrence and metastasis was found in the review.ConclusionUnder the precision medical system, comprehensive treatment of breast cancer based on the MDT model could target patients’ disease characteristics, physical conditions, previous diagnosis and treatment, family situation, and other individual factors, formulate the best personal treatment plan for patients, and bring greater benefits to patients.
ObjectiveTo observe the accuracy of magnetic resonance imaging (MRI) for predicting pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer, and to analyze the cause of the prediction error.MethodsData from 157 breast cancer patients who underwent NAC before surgery in Mianyang Central Hospital from January 2017 to January 2019 were analyzed. MRI parameters before and after NAC and pCR conditions were collected to analyze the parameters that produced false positives and false negatives.ResultsOf the 157 patients, 37 (23.6%) achieved pCR after NAC, and 33 (21.0%) achieved radiation complete remission (rCR) after NAC. The accuracy of MRI prediction was 70.7% (111/157), the sensitivity was 82.5% (99/120), and the specificity was 32.4% (12/37). A total of 25 cases did not achieve rCR, but postoperative evaluation achieved pCR (false positive), 21 cases achieved rCR, but postoperative evaluation did not achieve pCR (false negative). Diameter of tumor, peritumoral oedema, and background parenchymal enhancement were associated with MRI false positive prediction (P<0.05); gland density and tumor rim enhancement were associated with MRI false negative prediction (P<0.05).ConclusionMRI can be used as an important method to predict pCR after NAC in breast cancer patients, and its accuracy may be related to diameter of tumor, peritumoral oedema, background parenchymal enhancement, gland density, and tumor rim enhancement.
ObjectiveTo identify the risk factors of bone metastasis in breast cancer and construct a predictive model. MethodsThe data of breast cancer patients met inclusion and exclusion criteria from 2010 to 2015 were obtained from the SEER*Stat database. Additionally, the data of breast cancer patients diagnosed with distant metastasis in the Affiliated Hospital of Southwest Medical University from 2021 to 2023 were collected. The patients from the SEER database were randomly divided into training (70%) and validation (30%) sets using R software, and the breast cancer patients from the Affiliated Hospital of Southwest Medical University were included in the validation set. The univariate and multivariate logistic regressions were used to identify risk factors of breast cancer bone metastasis. A nomogram predictive model was then constructed based on these factors. The predictive effect of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis. ResultsThe study included 8 637 breast cancer patients, with 5 998 in the training set and 2 639 (including 68 patients in the Affiliated Hospital of Southwest Medical University) in the validation set. The statistical differences in the race and N stage were observed between the training and validation sets (P<0.05). The multivariate logistic regression analysis revealed that being of white race, having a low histological grade (Ⅰ–Ⅱ), positive estrogen and progesterone receptors status, negative human epidermal growth factor receptor 2 status, and non-undergoing surgery for the primary breast cancer site increased the risk of breast cancer bone metastasis (P<0.05). The nomogram based on these risk factors showed that the AUC (95% CI) of the training and validation sets was 0.676 (0.533, 0.744) and 0.690 (0.549, 0.739), respectively. The internal calibration using 1 000 Bootstrap samples demonstrated that the calibration curves for both sets closely approximated the ideal 45-degree reference line. The decision curve analysis indicated a stronger clinical utility within a certain probability threshold range. ConclusionsThis study constructs a nomogram predictive model based on factors related to the risk of breast cancer bone metastasis, which demonstrates a good consistency between actual and predicted outcomes in both training and validation sets. The nomogram shows a stronger clinical utility, but further analysis is needed to understand the reasons of the lower differentiation of nomogram in both sets.
Objective This study aimed to explore the relationship between serum lipid and lipoprotein levels and occurrence of breast cancer, and relationship between serum lipid and lipoprotein levels and clinicopathological characteristics of breast cancer patients. Methods Clinical data of 788 patients with breast cancer and 395 patients with benign breast disease were retrospectively collected, who received treatment in The First Affiliated Hospital of Chongqing Medical University from January 2014 to March 2016, and to explore the relationship between levels of total cholesterol (TC)/triglyceride (TG)/high density lipoprotein cholesterol (HDL-c)/low density lipoprotein cholesterol (LDL-c) and occurrence of breast cancer/ clinicopathological characteristics of breast cancer patients. Results ① Influencing factors that affected the occurrence of breast cancer: multifactor logistic analysis showed that, height (OR=0.950, P=0.006), body mass index (OR=1.062, P=0.041), and serum LDL-c level (OR=1.349, P=0.016) were independent influencing factors for occurrence of breast cancer, people had high body mass index and higher level of serum LDL-c had high risk of breast cancer, but people had high height had low risk of breast cancer. ②Association analysis of serum lipid and lipoprotein levels and clinicopathological characteristics of breast cancer patients: the serum TC level was correlated with expression of progesteronereceptors (PR) and lymph node metastasis status (P<0.05), the serum TC levels of patients with negative-expression of PR and lymph node metastasis were slightly higher than that of patients with positive-expression of PR and non-lymph node metastasis; the serum TG level was associated with body mass index (P<0.05), that the serum TG level of patients with body mass index≥25 kg/m2was slightly higher than that of patients with body mass index<25 kg/m2; the serum HDL-c level was correlated with the body mass index and diameter of the tumor (P<0.05), the serum HDL-c level of the patients with body mass index≥25 kg/m2 was slightly lower than that of patients with body mass index<25 kg/m2, the serum HDL-c level of patients with the tumor diameter≤2 cm was slightly higher than that of patients with the tumor diameter >2 cm; the serum LDL-c level was correlated with body mass index, expression of estrogenreceptors (ER) and PR, and molecular typing ( P<0.05), the serum LDL-c level was slightly higher in patients with body mass index≥25 kg/m2, negative expression of ER and PR, and non Luminal type patients, comparing with patients with body mass index<25 kg/m2, positive expression of ER and PR, and Luminal type patients. Conclusions High level of serum LDL-c is strongly associated with occurrence of breast cancer, and levels of serum lipid and lipoprotein are associated with expression of hormone receptor, molecular type of breast cancer, and status of lymph node, but it needs further randomized controlled studies to confirm.
Objective To summarize the research progress of postmenopausal breast cancer and estrogen metabolites, which is aimed at providing the basis for early diagnosis and early treatment of postmenopausal breast cancer, at the same time, providing beneficial information for the future study. Methods In recent years, the literatures about postmenopausal breast cancer and estrogen metabolites were reviewed from the databases of WanFang, VIP, CNKI, PubMed, and so on, to make an review. Results Estrogen metabolites had a dual role for postmenopausal breast cancer, such as 2-hydroxyestrone (2-OHE1), 2-methoxyestrone1 (2-MeOE1), and 4-methoxyestrone1 (4-MeOE1) played a protective role for postmenopausal breast cancer, but 4-hydroxyestrone (4-OHE1) and 16α-hydroxyestrone (16α-OHE1) played a carcinogenic role for postmenopausal breast cancer, so it needed to be further studied. Conclusions Estrogen metabolites may be a reliable predictor for the risk of postmenopausal breast cancer, it is not only to provide clues for the mechanism of postmenopausal breast cancer, but also provide new train of thought for early diagnosis and treatment of postmenopausal breast cancer.
ObjectiveTo investigate the effects of phenethyl isothiocyanate (PEITC) on apoptosis and proliferation of breast cancer SK-BR-3 cells. MethodsSK-BR-3 cells were treated with different concentrations (0, 10, 30, 50 μmol/L) of PEITC respectively. The proliferation capacity of SK-BR-3 cells was detected by MTT and BrdU staining methods. The cell apoptosis was detected by TUNEL and flow cytometry methods. The protein and mRNA expressions levels of indexes related apoptosis such as Bcl-2, Bax, and MCL-1 and indexes related endoplasmic reticulum stress (ERS) such as PERK, eIF2α, CHOP, IRE1α, ATF6α were detected by Western blot and quantitative real-time PCR (qRT-PCR), respectively. ResultsCompared with the control group (0 μmol/L PEITC treatment group), the results of MTT and BrdU staining methods showed that the proliferations of SK-BR-3 cells in the 10, 30 and 50 μmol/L PEITC treatment group were decreased in turn with the increase of concentration. The results of TUNEL and flow cytometry methods showed that the apoptosis rates of SK-BR-3 cells in the 10, 30 and 50 μmol/L PEITC treatment group were increased in turn with the increase of concentration. The results of Western blot and qRT-PCR methods showed that the protein and mRNA expression levels of anti-apoptotic indexes (Bcl-2, MCL-1) were decreased with the increase of concentration, while the expression levels of protein and mRNA of the pro-apoptotic index (Bax) and ERS-related indexes (PERK, eIF2α, CHOP, IRE1α, ATF6α) increased with the increase of concentration. ConclusionFrom the preliminary results of this study, PEITC can promote the apoptosis of breast cancer SK-BR-3 cells and inhibit cell proliferation, which might be achieved by regulating the expression levels of indexes related apoptosis and ERS.
Objective The results related to the role and research progress of Syndecan-1 in breast cancer are systematically reviewed, with the aim of providing new directions for the treatment and prognosis of breast cancer research. Method The unique properties and role of Syndecan-1 in breast cancer patients were analyzed and summarized by searching the relevant literatures in recent years. Results Syndecan-1 was of great significance in the diagnosis and treatment of breast cancer and could be used as a potential prognostic marker of breast cancer. Meanwhile, it could also be used as a potential therapeutic target for breast cancer, which had significant research value for clinical applications. Conclusion Syndecan-1 has been applied in the field of breast cancer research because of its unique properties and effects on the development, treatment and prognosis of breast cancer.
ObjectiveTo investigate the factors of breast cancer patients who met breast-conserving conditions after neoadjuvant chemotherapy when choosing surgical mode.MethodsA questionnaire survey was conducted on 228 breast cancer patients who met breast-conserving conditions after neoadjuvant chemotherapy. Chi square test, nonparametric rank sum test and binary logistic regression were used to analyze the factors affecting the choice of surgical mode.ResultsUnivariate analysis showed that age, clinical stage, family history of cancer, molecular type, neoadjuvant chemotherapy effect, surgeon’s recommendation, chemotherapy side effects, and surgical complications were the factors affecting patient’s chose for breast-conserving surgery (P<0.05). Multivariate analysis showed that the effect of neoadjuvant chemotherapy [OR=0.312, 95%CI (0.255, 0.662), P<0.001] and the surgeon’s recommendation [OR=53.947, 95%CI (4.570, 6.239), P=0.002] were independent factors that affected the choice of surgery.ConclusionsThe decision of the surgical mode is a process in which doctors and patients participate together. Individualized neoadjuvant chemotherapy improves the remission rate and the progress of the surgeon’s comprehensive treatment strategy can play a role in improving the breast-conserving rate and the rate of breast-conserving success. Doctors should give positive guidance in accordance with the specific situation of the patient to make the best choice.
Objective To explore the characters and therapy of the triple-negative breast cancer （TNBC）. Methods The pertinent literatures with key words “triple-negative breast cancer”，“diagnosis”，and “therapy” were retrieved and reviewed. Results TNBC was a subtype of breast cancer characterized by negative expressions of estrogen receptor （ER），progesterone receptor （PR），and human epidermal growth factor receptor-2 （HER-2）. The clinicopathologic feature and prognosis of TNBC were distinct from other breast cancer. The age of onset was younger，disease free survival and total survival rate were lower in the patients with TNBC. At present， the therapy guideline was lack of TNBC，which referred to the non-TNBC，including local surgery，systemic chemotherapy，and the target therapy was at the clinical trial stage. Conclusions TNBC is one of heterogeneity characteristics for the breast cancer，which has extra much difference. For improving the TNBC prognosis，we hope that more and more significant markers to TNBC in the future are found，which are useful to make individuation treatment.
ObjectiveTo analyze the association between nutritional and immune-related laboratory indices and pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer patients and focused on constructing a combination of laboratory indices to serve as a clinical predictor of pCR after NAC in breast cancer. MethodsRetrospectively collected the pre-NAC laboratory indices [albumin (ALB), total cholesterol, triglyceride, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol, apolipoprotein A- Ⅰ, apolipoprotein B, white blood cell, neutrophil, lymphocyte, monocyte (MON), and platelet ] and clinicopathologic data of 310 patients with invasive breast cancer who had received NAC in the Department of Breast Surgery, Affiliated Hospital of Southwest Medical University, from September 1, 2020 to October 31, 2022. Logistic regression analysis was conducted to determine the correlation between laboratory indices and post-NAC pCR. The combinations of laboratory indices were constructed by simple mathematical operation. The area under the receiver operating characteristic curve (AUC) was used to evaluate the efficacy of different combinations of laboratory indices in predicting pCR and to determine the optimal combination of liboratory indices. Multivariate logistic regression analysis was used to analysis the relevance between clinicopathologic features and post-NAC pCR in breast cancer patients and to determine the independent predictor of post-NAC pCR. ResultsAmong the 310 patients, 49.4% (153/310) of them achieved pCR after NAC. Logistic regression analysis revealed that ALB (Z=5.203, P<0.001) and HDL-C (Z=2.129, P=0.033) were positively correlated with post-NAC pCR, while MON (Z=–4.883, P<0.001) was negatively correlated with post-NAC pCR. The AUC analysis of 6 different combinations of laboratory indices showed that the ALB/MON combination (the optimal combination of liboratory indices) had the highest predictive performance (median AUC=0.708) and was determined to be the neoadjuvant therapy predictive index (NTPI). Multivariate logistic regression analysis showed that estrogen receptor (Z=–3.273, P=0.001), human epidermal growth factor 2 (Z=7.041, P<0.001), Ki-67 (Z=2.457, P=0.014), and NTPI (Z=4.661, P<0.001) were the independent predictors for post-NAC pCR. ConclusionNTPI could serve as a predictive index for post-NAC pCR in patients with breast cancer.