ObjectiveTo investigate the effect and predictive value of systemic inflammatory markers on pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) for locally advanced breast cancer (LABC). MethodsThe clinicopathologic data of female patients with LABC who received NACT and radical surgical resection in the Department of Breast Surgery, Affiliated Hospital of Southwest Medical University from February 2019 to February 2022 were retrospectively analyzed. The factors affecting pCR after NACT were analyzed by the multivariate logistic regression and the prediction model was established. The efficiency of the prediction model was evaluated by receiver operating characteristic (ROC) curve and area under the ROC curve (AUC). ResultsA total of 98 patients were gathered, of which 29 obtained pCR, with a pCR rate of 29.6%. The multivariate analysis of binary logistic regression showed that the patients with non-menopausal status, negative estrogen receptor (ER), chemotherapy+targeted therapy, and systemic immune-inflammation index (SII) <532.70 (optimal critical value) were more likely to obtain pCR after NACT (P<0.05). The prediction model was established according to logistic regression analysis: Logit (P)=0.697–2.974×(menopausal status)–1.932×(ER status)+3.277×(chemotherapy regimen)–2.652×(SII). The AUC (95%CI) of the prediction model was 0.914 (0.840, 0.961), P<0.001. ConclusionsIt is not found that other inflammatory indicators such as neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio are associated with pCR after NACT. But SII is an important predictor of pCR after NACT for LABC and has a good predictive efficiency.
ObjectiveTo analyze the factors influencing axillary pathological complete response (pCR) after neoadjuvant therapy (NAT) and to provide the possibility of exempting axillary surgery for patients with better pathological efficacy of primary breast lesions after NAT. MethodsAccording to the inclusion and exclusion criteria, the patients with breast cancer admitted to the Department of Breast Surgery, Affiliated Hospital of Southwest Medical University from January 1, 2020 to June 30, 2022 were retrospectively analyzed. All patients were diagnosed with ipsilateral axillary lymph node metastasis of breast cancer and the NAT cycle was completed according to standards. All patients underwent axillary lymph node dissection (ALND) after NAT. The therapeutic effect of primary breast lesions was evaluated by Miller-Payne (MP) grading system. The axillary pCR was judged according to whether there was residual positive axillary lymph nodes after ALND. The unvariate and multivariate logistic regressions were used to analyze the risk factors affecting the axillary pCR. At the same time, the possibility of exempting axillary surgery after NAT in the MP grade 5 or in whom without ductal carcinoma in situ (DCIS) was evaluated. The ALND was considered to exempt when the negative predictive value was 90% or more and false negative <10% or almost same. ResultsA total of 111 eligible patients with breast cancer were gathered in the study, 64 of whom with axillary pCR. There were 43 patients of MP grade 5 without DCIS after NAT, 41 of whom were axillary pCR. The univariate analysis results showed that the estrogen receptor and progesterone receptor statuses, molecular type, NAT regimen, and MP grade were associated with the axillary pCR after NAT, then the logistic regression multivariate analysis results showed that the MP grade ≤3 and MP grade 4 decreased the probability of axillary pCR as compared with the MP grade 5 [OR=0.105, 95%CI (0.028, 0.391), P=0.001; OR=0.045, 95%CI (0.012, 0.172), P<0.001]. There were 51 patients of MP grade 5 after NAT, 46 of whom were axillary pCR. The negative predictive value and the false negative rate of MP grade 5 on predicting the postoperative residual axillary lymph nodes were 90.2% [95%CI (81.7%, 98.6%)] and 10.6% [95%CI (1.5%, 19.8%)], respectively, which of MP grade 5 without DCIS were 95.3% [95%CI (88.8%, 101.9%)] and 4.3% [95%CI (–1.7%, 10.2%)] , respectively. ConclusionsThe probability of axillary pCR for the patient with higher MP grade of breast primary after NAT is higher. It is probable of exempting axillary surgery when MP grade is 5 after NAT.
Objective To systematically evaluate the related factors that lead to the underestimation of puncture pathology of ductal carcinoma in situ (DCIS), and to reduce the underestimation rate of puncture pathology of DCIS by controlling related factors. Methods A computer search of PubMed, Web of Science, The Cochrane Library, EMbase, CNKI, and Wanfang databases were conducted to retrieve clinical studies that led to underestimation of puncture pathology for DCIS between the establishment of the database and April 1, 2021. After two researchers independently screened the literatures, extracted the data, and evaluated the risk of bias in the included studies, RevMan 5.4 software was used for meta analysis. Results A total of 24 studies including 8 810 patients were included. Results of meta analysis showed that puncture pathology underestimation rate in patients ≥50 years old was lower than that <50 years old [OR=0.82, 95%CI (0.70, 0.96), P=0.020]. Breast imaging reporting and data system (BI-RADS) of DCIS ≤4A class patients had a lower puncture pathology underestimation rate [OR=0.38, 95%CI (0.21, 0.68), P=0.001]. Human epidermal growth factorreceptor 2 (HER2) negative [OR=1.69, 95%CI (1.12, 2.55), P=0.010], no calcification in the mass [OR=1.55, 95%CI (1.10, 2.18), P=0.010], estrogen receptor (ER) positive [OR=0.73, 95%CI (0.60, 0.89), P=0.001], progesterone receptor (PR) positive [OR=0.62, 95%CI (0.44, 0.86), P=0.004], tumor diameter ≤2 cm [OR=2.98, 95%CI (2.18, 4.09), P<0.001], DCIS patients with low/intermediate nuclear grading [OR=0.58, 95%CI (0.50, 0.68), P<0.001], and untouchable masses [OR=0.48, 95%CI (0.28, 0.82), P=0.008] had lower puncture pathology underestimation rate. Conclusions In patients with DCIS, age≥50 years, BI-RADS≤4A class, mass diameter ≤2 cm, non-palpable mass, low nuclear grade (low grade/medium grade DCIS), ER positive, PR positive, HER2 negative, and no calcification can reduce the underestimation rate of puncture pathology. Due to the limitation of the number and quality of included studies, the above conclusions need to be confirmed by the results of high quality cohort studies with large samples.
Objective To systematically review the effectiveness and model building process of heparin treatment for animal model with smoke inhalation injury. Methods Databases including PubMed, EMbase, CBM, CNKI, VIP and WanFang Data were searched to collect animal experiments about the treatment of heparin for animal model with smoke inhalation injury from inception to November 2016. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then meta-analysis was conducted by RevMan 5.3 software. Results A total of nine studies involving 11 animal experiments were included. The results showed that building animal model with smoke inhalation injury were through burning of cotton towels or pine sawdust by sheep or rats below 40℃. The results of meta-analysis showed that there was no significant difference in mortality rate between two groups (heparin group vs. control group: RR=0.38, 95%CI 0.14 to 1.05, P=0.06; heparin plus DMSO group vs. DMSO group: RR=0.10, 95%CI 0.01 to 1.51, P=0.10). In addition, the pulmonary artery pressure (MD=–3.31, 95%CI –4.51 to –2.11, P<0.000 01), wet to dry weight ratio (MD=–0.90, 95%CI –1.19 to –0.61, P<0.000 01), and lung water content (MD=–1.18, 95%CI –1.67 to –0.70, P<0.000 01) of the experimental group were lower than those in the control group. PaO2/FiO2 after 12 hours (MD=131.00, 95%CI 59.54 to 202.46, P=0.000 3), PaO2/FiO2 after 24 hours (MD=114.00, 95%CI 60.56 to 167.44, P<0.000 1), PaO2/FiO2 after 48 hours (MD=46.00, 95%CI 20.62 to 71.38, P=0.000 4) were higher than those in the control group. However, there was no significant difference in coagulation function between both groups. Conclusion The current evidence shows that the establishment of animal model of smoke inhalation injury is still lack of standard method. Heparin can decrease pulmonary artery pressure and lung water content in animal models with smoke inhalation injury. Due to the limited quality and quantity of included studies, the above conclusions are still needed to be verified by more high quality studies.
ObjectiveTo explore the influence of sentinel lymph node (SLN) status on the prognosis of elderly breast cancer patients ≥70 years old, and to screen patients who may be exempted from sentinel lymph node biopsy (SLNB), so as to guide clinical individualized treatment for such patients. MethodsA retrospective analysis was made on 270 breast cancer patients aged ≥70 years old who underwent SLNB in the Affiliated Hospital of Southwest Medical University from 2012 to 2021. The clinicopathological characteristics of the total cases were compared according to the status of SLN. Kaplan-Meier method was used to draw the survival curve, and the influence of SLN status on the overall survival (OS) time, local recurrence (LR) and distant metastasis (DM) of patients were analyzed, and used log-rank to compare between groups. At the same time, the patients with hormone receptor (HR) positive were analyzed by subgroup. The differences between groups were compared by single factor χ2 test, and multivariate Cox regression model was used to analyze and determine the factors affecting OS, LR and DM of patients. ResultsThe age of 270 patients ranged from 70 to 95 years, with a median age of 74 years. One hundred and sixty-nine (62.6%) patients’ tumor were T2 stage. Invasive ductal carcinoma accounted for 83.0%, histological gradeⅡ accounted for 74.4%, estrogen receptor positive accounted for 78.1%, progesterone receptor positive accounted for 71.9%, and human epidermal growth factor receptor 2 negative accounted for 83.3%. The number of SLNs obtained by SLNB were 1-9, and the median was 3. SLN was negative in 202 cases (74.8%) and positive in 68 cases (25.2%). Thirty-five patients (13.0%) received axillary lymph node dissection. There was no significant difference in LR between the SLN positive group and the SLN negative group (P>0.05), but the SLN negative group had fewer occurrences of DM (P=0.001) and longer OS time (P=0.009) compared to the SLN positive group. The results of univariate and multivariate analysis suggest that the older the patient, the shorter the OS time and the greater the risk of DM. Analysis of HR positive subgroups showed that SLN status did not affect patient survival and prognosis, but age was still associated with poor OS time and DM. ConclusionsFor patients with invasive ductal carcinoma of breast in T1-T2 stage, HR positive, clinical axillary lymph nodes negative, and age ≥70 years old, SLNB may be exempted. According to the patient’s performance or tumor biological characteristics, patients who need systemic adjuvant chemotherapy may still consider SLNB.
ObjectiveTo assess the methods, processes and evaluation criteria of burn models in rats. MethodsDatabases including MEDLINE, EMbase, CBM, CNKI, VIP and WanFang Data were electronically searched from inception to February 2016. The animal studies of burn models development in rats were included. Two reviewers independently screened literatures, extracted data, assessed the quality of included studies, and analyzed the outcomes. ResultsFifteen studies including 38 burn groups were identified. The results indicated:(1) depth of burn:50.00% burn models were partial thickness burn (II°), and 21.05% were full thickness burn (III°). (2) methods of induction:80.00% burn models were developed through high temperature liquid or solid tools. (3) burn sites:93.33% burns were on the back of rats. (4) induction temperature:66.67% induction temperature was between 80℃ and 100℃. (5) induction time:86.67% induction time was between 3 seconds and 100 seconds. (6) anesthesia:40.00% rats were anesthetized with intraperitoneal injection of pentobarbital sodium. (7) skin preparation:60.00% studies reported the skin was prepared by physical and chemical methods. (8) housing post surgery:13.33% studies reported the housing temperature post surgery. (9) intervention post surgery:13.33% studies reported antishock treatment. (10) assessment criteria:almost all studies evaluated the depth of burn through the macroscopic and microcosmic assessment. ConclusionBased on current animal studies, most burn models in rats are partial thickness and full thickness burn on the back of rats. Burn is inducted mainly by 80℃ to 100℃ hot liquid or solid tools within 30 seconds, according with skin preparation, anesthesia, antishock or analgesia management. The depth of burn is evaluated by the macroscopic and microcosmic assessment. However, there is no standard for the methods, processes, assessment and reporting of development of burn model in rats.
ObjectiveTo explore the independent risk factors for benign and malignant subsolid pulmonary nodules and establish a malignant probability prediction model.MethodsA retrospective analysis was performed in 443 patients with subsolid pulmonary nodules admitted to Subei People's Hospital of Jiangsu Province from 2014 to 2018 with definite pathological findings. The patients were randomly divided into a modeling group and a validation group. There were 296 patients in the modeling group, including 125 males and 171 females, with an average age of 55.9±11.1 years. There were 147 patients in the verification group, including 68 males and 79 females, with an average age of 56.9±11.6 years. Univariate and multivariate analysis was used to screen the independent risk factors for benign and malignant lesions of subsolid pulmonary nodules, and then a prediction model was established. Based on the validation data, the model of this study was compared and validated with Mayo, VA, Brock and PKUPH models.ResultsUnivariate and multivariate analysis showed that gender, consolidation/tumor ratio (CTR), boundary, spiculation, lobulation and carcinoembryonic antigen (CEA) were independent risk factors for the diagnosis of benign and malignant subsolid pulmonary nodules. The prediction model formula for malignant probability was: P=ex/(1+ex). X=0.018+(1.436×gender)+(2.068×CTR)+(−1.976×boundary)+ (2.082×spiculation)+(1.277×lobulation)+(2.296×CEA). In this study, the area under the curve was 0.856, the sensitivity was 81.6%, the specificity was 75.6%, the positive predictive value was 95.4%, and the negative predictive value was 39.8%. Compared with the traditional model, the predictive value of this model was significantly better than that of Mayo, VA, Brock and PKUPH models.ConclusionCompared with Mayo, VA, Brock and PKUPH models, the predictive value of the model is more ideal and has greater clinical application value, which can be used for early screening of subsolid nodules.
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.
ObjectiveTo design an interventional cardiology simulation system based on unity 3d virtual reality technology to simulate the multi-sensory feedback in the operation of heart disease. MethodsWe used 3Dmax and Unity3D engine to build a three-dimensional cardiovascular model, and use Falcon Novint and Rift Oculus software and hardware system to build a virtual reality environment to simulate pilot wire intervention surgery. ResultsThe user can use the Falcon Novint force feedback controller to carry out a variety of virtual instrument exercises of percutaneous coronary angioplasty, and also it can restore operation scene through Rift Oculus virtual reality device. ConclusionA simulation system for interventional surgery is designed, which provides the help for the extensive medical training.
Lung cancer is one of the most common malignant tumors in the world, and also one of the most common malignant tumors with the highest incidence, highest mortality, the fastest growth rate and the worst prognosis. Therefore, a deeper understanding of the disease is urgently needed in order to establish new diagnostic and therapeutic approaches. Exosomes, a kind of extracellular vesicles secreted by cells, can deliver various bioactive molecules, such as proteins, mRNA, mircoRNA, lipids, etc, and their potential value in the diagnosis, treatment and prognosis of lung cancer has been supported by a large number of literatures. In this review, we reviewed the role of exosomes in the of development, early diagnosis, treatment and prognosis of non-small cell lung cancer.