Machine learning discrimination of Gleason scores below GG3 and above GG4 for HSPC patients diagnosis.

This study aims to develop machine learning (ML)-assisted models for analyzing datasets related to Gleason scores in prostate cancer, conducting statistical analyses on the datasets, and identifying meaningful features. We retrospectively collected data from 717 hormone-sensitive prostate cancer (HSPC) patients at Yunnan Cancer Hospital. Of these, data from 526 patients were used for modeling. Seven auxiliary models were established using Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Extreme gradient boosting tree (XGBoost), Adaptive Boosting (Adaboost), and artificial neural network (ANN) based on 21 clinical biochemical indicators and features. Evaluation metrics included accuracy (ACC), precision (PRE), specificity (SPE), sensitivity (SEN) or regression rate(Recall), and f1 score. Evaluation metrics for the models primarily included ACC, PRE, SPE, SEN or Recall, f1 score, and area under the curve(AUC). Evaluation metrics were visualized using confusion matrices and ROC curves. Among the ensemble learning methods, RF, XGBoost, and Adaboost performed the best. RF achieved a training dataset score of 0.769 (95% CI: 0.759-0.835) and a testing dataset score of 0.755 (95% CI: 0.660-0.760) (AUC: 0.786, 95%CI: 0.722-0.803), while XGBoost achieved a training dataset score of 0.755 (95% CI: 95%CI: 0.711-0.809) and a testing dataset score of 0.745 (95% CI: 0.660-0.764) (AUC: 0.777, 95% CI: 0.726-0.798). Adaboost scored 0.789 on the training dataset (95% CI: 0.782-0.857) and 0.774 on the testing dataset (95% CI: 0.651-0.774) (AUC: 0.799, 95% CI: 0.703-0.802). In terms of feature importance (FI) in ensemble learning, Bone metastases at first visit, prostatic volume, age, and T1-T2 have significant proportions in RF's FI. fPSA, TPSA, and tumor burden have significant proportions in Adaboost's FI, while f/TPSA, LDH, and testosterone have the highest proportions in XGBoost. Our findings indicate that ensemble learning methods demonstrate good performance in classifying HSPC patient data, with TNM staging and fPSA being important classification indicators. These discoveries provide valuable references for distinguishing different Gleason scores, facilitating more accurate patient assessments and personalized treatment plans.

Construction and validation of a prediction model for inguinal lymph node metastasis of penile malignancy.

Background: Penile squamous cell carcinoma is a relatively rare malignancy among male malignancies, there are more than 30,000 new cases and more than 10,000 deaths of penile cancer annually. In patients with penile malignancy, inguinal lymph node metastasis (ILNM) significantly reduces patient survival. Thus, we identified the risk factors for ILNM in penile malignancies, aiming to develop a precise prediction model. Methods: We retrospectively analyzed 112 male patients with penile cancer. All subjects underwent penile surgery and inguinal lymphadenectomy at the same time, and postoperative pathology confirmed ILNM. Fisher's exact test, t-test, and Wilcoxon rank sum test were used to assess differences in demographic information and clinical features between the two groups, followed by logical least absolute shrinkage and selection operator (LASSO) regression analysis to determine risk factors of ILNM. The prediction model was constructed using nomogram. Results: LASSO regression revealed that age [ß=-0.005, odds ratio (OR) =0.995], smoking history (ß=-0.006, OR =0.994) and interleukin 2 (IL-2) level (ß=-0.0112, OR =0.989) were protective against ILNM. However, lymph node diameter (ß=0.3117, OR =1.366), T-stage (ß=0.1254, OR =1.134), fibrinogen (ß=0.0377, OR =1.038), IL-4 level (ß=0.004, OR =1.001), and neutrophil-to-lymphocyte ratio (ß=0.0355, OR =1.034) were risk factors for developing ILNM. When assessing the risk of metastasis, it is crucial to balance these factors. The aforementioned characteristics were utilized to establish the predictive model, which demonstrated a good predictive ability with an area under the curve (AUC) value of 0.81. Moreover, internal leave-one-way cross-validation was used to construct a nomogram showing consistency, with an AUC of 0.75. Conclusions: The diagnosis of ILNM in penile malignant tumors can be predicted through clinicopathological features, biochemical tests, and prediction models based on tumor markers.

Identification of prostate cancer bone metastasis related genes and potential therapy targets by bioinformatics and in vitro experiments.

The aetiology of bone metastasis in prostate cancer (PCa) remains unclear. This study aims to identify hub genes involved in this process. We utilized machine learning, GO, KEGG, GSEA, Single-cell analysis, ROC methods to identify hub genes for bone metastasis in PCa using the TCGA and GEO databases. Potential drugs targeting these genes were identified. We validated these results using 16 specimens from patients with PCa and analysed the relationship between the hub genes and clinical features. The impact of APOC1 on PCa was assessed through in vitro experiments. Seven hub genes with AUC values of 0.727-0.926 were identified. APOC1, CFH, NUSAP1 and LGALS1 were highly expressed in bone metastasis tissues, while NR4A2, ADRB2 and ZNF331 exhibited an opposite trend. Immunohistochemistry further confirmed these results. The oxidative phosphorylation pathway was significantly enriched by the identified genes. Aflatoxin B1, benzo(a)pyrene, cyclosporine were identified as potential drugs. APOC1 expression was correlated with clinical features of PCa metastasis. Silencing APOC1 significantly inhibited PCa cell proliferation, clonality, and migration in vitro. This study identified 7 hub genes that potentially facilitate bone metastasis in PCa through mitochondrial metabolic reprogramming. APOC1 emerged as a promising therapeutic target and prognostic marker for PCa with bone metastasis.

Exceptionally rare MINOCA: a case of acute myocardial infarction following surgery for Stanford type A aortic dissection.

BACKGROUND: Aortic dissection is a severe cardiovascular condition associated with high mortality rates, particularly in cases of Stanford type A aortic dissection (TAAD). Myocardial infarction with non-obstructive coronary arteries (MINOCA) following surgery for TAAD is rare but potentially fatal. CASE PRESENTATION: A 69-year-old woman presented with sudden chest pain and was diagnosed with acute TAAD. Emergency surgery was performed, during which complications arose, including significant hemodynamic instability. Despite efforts to manage the patient's condition postoperatively, she developed hemodynamic instability and myocardial infarction, leading to cardiogenic shock. MINOCA was diagnosed based on clinical presentation, echocardiographic findings, and coronary angiography ruling out significant stenosis or occlusion. The patient's condition deteriorated despite aggressive treatment, ultimately resulting in death. CONCLUSION: MINOCA following surgery for TAAD is a rare but serious complication. Vigilant postoperative monitoring and timely intervention are essential for identifying and managing acute cardiac dysfunction in these patients. Further research is required to improve outcomes in this challenging clinical scenario.

Targeted axillary dissection after neoadjuvant chemotherapy for highly selective patients with initial cN1 breast cancer: A single-center prospective trial.

BACKGROUND: Sentinel lymph node (SLN) biopsy is gradually accepted as the standard of care in breast cancer patients with down-staged axillary disease after neoadjuvant chemotherapy (NAC). However, it is still difficult to precisely define pre-NAC clinical node-positive (cN1) and post-NAC clinical node-negative (ycN0). This prospective single-center trial was designed to evaluate the feasibility and accuracy of standard targeted axillary dissection (TAD) after NAC in highly selective pre-NAC cN1 patients (not considering ultrasound-based axillary ycN staging). METHODS: This prospective trial included patients with initial pre-NAC cT1-3N1M0 invasive breast cancer but with a rigorous definition of cN1 from the Affiliated Cancer Hospital of Zhengzhou University. When NAC was effective (including complete and partial responses) and preoperative axillary palpation was negative, preoperative ultrasound-based axillary staging was not considered, and all patients underwent TAD followed by axillary lymph node (LN) dissection. The detection rate (DR) and false-negative rate (FNR) of TAD were calculated. RESULTS: A total of 82 patients were included, and 77 of them were eligible for data analysis. The DR for TAD was 94.8% (73/77). There were 26 patients with one abnormal LN at the time of diagnosis based on ultrasound, 45 patients with two, and 2 patients with three. One patient had one TAD LN, four patients had two TAD LNs, and 68 patients had three or more TAD LNs. Preoperative axillary palpation yielded negative results for all 73 patients who successfully underwent TAD. Preoperative ultrasound-based ycN0 and ycN+ conditions were detected for 52 and 21 cases, respectively. The FNR was 7.4% (2/27) for standard TAD (≥3 SLNs), which was lower than that of all successful TAD (≥1 SLN; 10.0%, 3/30). CONCLUSIONS: In rigorously defined pre-NAC cN1 breast cancer patients, standard TAD is feasible for those with negative axillary palpation after NAC, and FNR is also less than 10%. REGISTRATION: chictr.org.cn , ChiCTR2100049093.

Dalpiciclib and pyrotinib in women with HER2-positive advanced breast cancer: a single-arm phase II trial.

CDK4/6 inhibitors have shown a synergistic effect with anti-HER2 therapy in hormone receptor (HR)-positive and HER2-positive breast cancer (BC). In this phase 2 study (NCT04293276), we aim to evaluate a dual-oral regimen of CDK4/6 inhibitor dalpiciclib combined with HER2 tyrosine kinase inhibitor pyrotinib as front-line treatment in women with HER2-positive advanced BC (n = 41) including those with HR-negative disease. The primary endpoint is the objective response rate, and secondary endpoints include progression-free survival (PFS), overall survival (OS), and safety. With a median follow-up of 25.9 months, 70% (28/40) of assessable patients have a confirmed objective response, meeting the primary endpoint. The median PFS is 11.0 months (95% CI = 7.3-19.3), and OS data are not mature. The most common grade 3 or 4 treatment-related adverse events (AEs) are decreased white blood cell count (68.3%), decreased neutrophil count (65.9%), and diarrhea (22.0%). Most AEs are manageable, and no treatment-related deaths occur. These findings suggest that this combination may have promising activity and manageable toxicity. Further investigation is needed.

Neoadjuvant camrelizumab plus nab-paclitaxel and epirubicin in early triple-negative breast cancer: a single-arm phase II trial.

Immunotherapy combined with chemotherapy has been demonstrated to be effective in early triple-negative breast cancer (TNBC). In this single-arm, phase II study with Simon's two-stage design, we investigated the efficacy and safety of neoadjuvant camrelizumab plus chemotherapy in patients with early TNBC (NCT04213898). Eligible female patients aged 18 years or older with histologically confirmed treatment-naïve early TNBC were treated with camrelizumab (200 mg, on day 1), nab-paclitaxel (125 mg/m2, on days 1, 8, and 15), and epirubicin (75 mg/m2, on day 1) every three weeks for six cycles. The primary end point was the pathological complete response; secondary endpoints included safety, objective response rate, and long-term survival outcomes of event-free survival, disease-free survival, and distant disease-free survival. A total of 39 patients were enrolled between January 2020 and October 2021. Twenty-five patients achieved a pathological complete response (64.1%, 95%CI: 47.2, 78.8). The objective response rate was 89.7% (95%CI: 74.8, 96.7), including 35 patients with partial responses. Treatment-related adverse events of grade 3 or 4 occurred in 30 (76.9%) patients. In conclusion, the trial meets the prespecified endpoints showing promising efficacy and manageable safety of neoadjuvant camrelizumab plus nab-paclitaxel and epirubicin chemotherapy in female patients with early TNBC. Long-term survival outcomes are still pending.

A Nomogram for Identifying HR+/Her2- Breast Cancer Patients with Positive Sentinel Lymph Nodes and Omitted Axillary Lymph Node Dissection Who Need Abemaciclib Therapy.

BACKGROUND The efficacy of abemaciclib in high-risk patients with early-stage HR+/Her2- breast cancer has been verified by MonarchE. However, accurately determining the number of axillary lymph node (ALN) metastases remains challenging. The Z0011 trial changed the axillary management strategy, eliminating the need for axillary lymph node dissection (ALND) in patients with 1-2 sentinel lymph node (SLN) metastases. Therefore, further exploration is needed to identify patients who could benefit from abemaciclib therapy. MATERIAL AND METHODS This retrospective study included cT1-2N0M0 HR+/Her2- patients with 1-2 positive SLNs who underwent ALND. Clinicopathological data were collected, and logistic regression analyses identified independent predictors for ≥4 positive ALNs. A predictive nomogram was developed, and discrimination and calibration were evaluated using the C-index and calibration curve. Clinical efficacy was assessed using decision curve analysis (DCA). RESULTS We enrolled 444 patients, with 77 (17.3%) having ≥4 positive ALNs. Independent predictors for ≥4 positive ALNs included abnormal ALN on ultrasound, mammographic calcifications, T stage, and the number of positive SLNs. The nomogram demonstrated an AUC of 0.777 (95% CI: 0.735-0.815, P<0.001), and internal validation showed good calibration and discrimination (C-index, 0.802; 95% CI: 0.779-0.824). DCA revealed a positive net benefit for risk levels ranging from 5% to 54%. CONCLUSIONS This nomogram is a convenient and reliable tool to predict the risk of ≥4 positive ALNs in HR+/Her2- patients. It aids in protocol selection by identifying SLN-positive patients who may benefit from abemaciclib therapy without ALND.

Characteristics of sublingual microcirculatory changes during the early postoperative period following cardiopulmonary bypass-assisted cardiac surgery-a prospective cohort study.

Background: Persistent microcirculatory dysfunction associated with increased morbidity and mortality. Interventions in the early resuscitation can be tailored to the changes of microcirculation and patient's need. However, there is usually an uncoupling of macrocirculatory and microcirculatory hemodynamics during resuscitation. Current research on the patterns of microcirculatory changes and recovery after cardiopulmonary bypass (CPB)-assisted cardiac surgery is limited. This study aimed to analyze changes in the microcirculatory parameters after CPB and their correlation with macrocirculation and to explore the characteristics of microcirculatory changes following CPB-assisted cardiac surgery. Methods: Between December 2018 and January 2019, 24 adult patients with indwelling pulmonary artery catheters after elective cardiac surgery using CPB were enrolled in this study. Both microcirculatory and macrocirculatory parameters were collected at 0, 6, 16, and 24 hours after admission to the intensive care unit (ICU). Video images of sublingual microcirculation were analyzed to obtain the microcirculatory parameters, including total vascular density (TVD), perfused small vessel density (PSVD), the proportion of perfused small vessels (PPV), microvascular flow index (MFI), and flow heterogeneity index (HI). The characteristics of microcirculatory parameter change following cardiac surgery and the correlation between microcirculatory parameters and macroscopic hemodynamic indicators, oxygen metabolic indicators, and carbon dioxide partial pressure difference (PCO2gap) were analyzed. Results: There were significant differences in the changes of TVD (P=0.012) and PSVD (P=0.005) during the first 24 hours postoperatively in patients who underwent CPB-assisted cardiac surgery. The microcirculatory density parameters (TVD: r=-0.5059, P=0.0456; PVD: r=-0.5499, P=0.0273) were correlated with oxygen delivery index (DO2I) at 24 hours after surgery. The microcirculatory flow parameters (PPV: r=0.4370, P=0.0327; MFI: r=0.6496, P=0.0006; and HI: r=-0.5350, P=0.0071) had a strong correlation with PCO2gap at 0 hour after surgery. Conclusions: TVD and PSVD might be two most sensitive indicators affected by CPB-assisted cardiac surgery. There was no consistency between microcirculation and macrocirculation until 24 hours following cardiac surgery, meaning the improvement of systemic hemodynamic indicators does not guarantee correspondently improvement in microcirculation. Early controlled oxygen supply after CPB-assisted cardiac surgery may be conducive to the resuscitation of patients to a certain extent.

Neoadjuvant Efficacy of Three Targeted Therapy Strategies for HER2-Positive Breast Cancer Based on the Same Chemotherapy Regimen.

(1) Background: The objective of our study was to provide evidence for choosing the optimal neoadjuvant therapy strategies for patients with human epidermal growth factor receptor 2 (HER2)-positive early breast cancer. Three neoadjuvant targeted therapy strategies (H + Py, trastuzumab plus pyrotinib; H, trastuzumab; HP, trastuzumab plus pertuzumab) based on the same chemotherapy regimen (TC, docetaxel and carboplatin) were included in the present study; (2) Methods: We retrospectively analyzed patients with HER2-positive breast cancer who were treated with neoadjuvant TCH + Py, TCH or TCHP, followed by surgery. The outcome was the pathological complete response (pCR) rate; (3) Results: In total, 545 patients were enrolled. The pCR rate was 55.6% (35/63) in the TCH + Py cohort, 32.7% (93/284) in the TCH cohort, and 56.6% (112/198) in the TCHP cohort. The multivariate analysis showed that patients who received TCH had less possibility to achieve pCR than those who received TCH + Py (odds ratio (OR) = 0.334, 95% confidence interval (CI): 0.181−0.619, p < 0.001), while patients who received TCHP had comparable possibility to those who received TCH + Py (OR = 1.043, 95%CI: 0.554−1.964, p = 0.896); (4) Conclusions: TCH + Py provides a better pCR rate compared with TCH, and a comparable pCR rate with TCHP among patients with HER2-positive breast cancer in the neoadjuvant setting. The present study supports a novel potential treatment option for these patients. Further studies need to be explored in the future.

Postoperative Alanine Aminotransferase Levels Are Associated with Outcomes in Pediatric Patients Undergoing Total Cavopulmonary Connection.

BACKGROUND: This single-center, retrospective study aims to determine the association between alanine aminotransferase (ALT) and outcomes in pediatric patients undergoing total cavopulmonary connection (TCPC). METHODS: In total, 256 pediatric patients undergoing TCPC were included and divided into a normal-ALT group and a high-ALT group. Clinical data were collected for comparisons between groups, and risk factors of high postoperative ALT were identified by univariate and multivariate analysis. A ROC analysis of the predictive value of postoperative ALT was conducted. RESULTS: Compared to the normal-ALT group, the members of the high-ALT group were 1.6 years older and had significantly higher preoperative creatinine and direct bilirubin levels. The high-ALT group had increased fluid overload, higher vasoactive inotropic drug scores, and inferior central venous pressure. The short-term outcomes in the high-ALT group were markedly worse: they suffered a longer duration of mechanical ventilation (MV), had a higher ICU and hospital length of stay (LOS), and higher rates of mortality, infection, and reintubation. Prolonged ICU and hospital LOS, longer MV, and reintubation were identified as independent risk factors for high postoperative ALT. Postoperative ALT was of high value in predicting reintubation, MV, ICU LOS, and mortality. CONCLUSIONS: Elevated postoperative ALT levels are associated with poor short-term outcomes in pediatric patients undergoing TCPC.

Effect of the HER-2/CEP17 ratio in IHC 2+/FISH-amplified breast cancer on pathological complete response to neoadjuvant pertuzumab and trastuzumab treatment-a retrospective cohort study.

Background: Human epidermal growth factor receptor-2 (HER-2) protein expression level could serve as a predictor of pathological complete response (pCR) to neoadjuvant trastuzumab-containing regimens. The aim of the present study was to evaluate whether pCR to neoadjuvant trastuzumab and pertuzumab treatment is dependent on the level of the HER-2/CEP17 (chromosome enumeration probe 17) ratio in immunohistochemistry (IHC) 2+/fluorescence in situ hybridization (FISH)-amplified breast cancer. Methods: Patients with primary IHC 2+/FISH-amplified breast cancer who underwent neoadjuvant anti-HER-2 dual-targeted therapies were retrospectively included between January 1, 2020 and May 30, 2021. The primary predictive variable was HER-2/CEP17 ratio, and the primary outcome variable was pCR. Other variables consisted of age, menopausal status, tumor-node-metastasis (TNM) stage, estrogen receptor (ER), progesterone receptor (PgR), and Ki-67. Association between clinicopathologic variables and pCR was evaluated using the chi-square test and logistic regression analysis. Results: The median age of the patients was 51.78 years (25-67 years), and 50.7% of the patients were in the premenopausal stage. The clinical stage at diagnosis was Stage III in 38 patients (55.1%). Of all patients, 40.6% patients were estrogen receptor positive, and 75.4% patients had a Ki-67 index of ≥30%. The overall pCR (ypN0/isypN0) rate was 31.9%. Patients with HER-2/CEP17 ratio ≥6.0 had a pCR rate of 55.0%, it was statistically higher than 22.4% in patients with HER-2/CEP17 ratio <6.0. Logistic regression analysis confirmed the independent association between HER-2/CEP17 ratio and pCR (P=0.020, OR: 5.203, 95% CI: 1.302-20.783). Conclusions: A HER-2/CEP17 ratio ≥6.0 might be related to more achievement of pCR in the neoadjuvant anti-HER-2 dual-targeted therapies. Further studies are needed to validate the finding.

Barrierless Self-Trapping of Photocarriers in Co3O4.

The self-trapping of a free carrier in transition-metal oxides can lead to a small polaron, which is responsible for the inadequate performance of the oxide-based optoelectronic applications. Thus, fundamental understanding of the self-trapping mechanism is of key importance for improving the performance of these applications. Herein, the self-trapping in Co3O4 epitaxial monocrystalline films is investigated primarily by transient absorption spectroscopy. The spectral evolution corresponding to the ultrafast transition from free carriers to small polarons is identified, which allows us to extract the self-trapping kinetics. The relationship between the self-trapping rate and temperature suggests a lack of thermal activation energy. A barrierless self-trapping mechanism derived from the small polaron framework is then proposed, which can successfully describe the observation that self-trapping rate decreases linearly with increasing temperature. Given that small polarons are ubiquitous in transition-metal oxides, this self-trapping mechanism is potentially a general phenomenon in these materials.

Establishment and Verification of a Predictive Model for Node Pathological Complete Response After Neoadjuvant Chemotherapy for Initial Node Positive Early Breast Cancer.

OBJECTIVE: Axillary node status after neoadjuvant chemotherapy (NCT) in early breast cancer patients influences the axillary surgical staging procedure. This study was conducted for the identification of the likelihood of patients being node pathological complete response (pCR) post NCT. We aimed to recognize patients most likely to benefit from sentinel lymph node biopsy (SLNB) following NCT and to reduce the risk of missed detection of positive lymph nodes through the construction and validation of a clinical preoperative scoring prediction model. METHODS: The existing data (from March 2010 to December 2018) of the Chinese Society of Clinical Oncology Breast Cancer Database (CSCO-BC) was used to evaluate the independent related factors of node pCR after NCT by Binary Logistic Regression analysis. A predictive model was established according to the score of considerable factors to identify ypN0. Model performance was confirmed in a cohort of NCT patients treated between January 2019 and December 2019 in Henan Cancer Hospital, and model discrimination was evaluated via assessing the area under the receiver operating characteristic (ROC) curve (AUC). RESULTS: Multivariate regression analysis showed that the node stage before chemotherapy, the expression level of Ki-67, biologic subtype, and breast pCR were all independent related factors of ypN0 after chemotherapy. According to the transformation and summation of odds ratio (OR) values of each variable, the scoring system model was constructed with a total score of 1-5. The AUC for the ROC curves was 0.715 and 0.770 for the training and the validation set accordingly. CONCLUSIONS: A model was established and verified for predicting ypN0 after chemotherapy in newly diagnosed cN+ patients and the model had good accuracy and efficacy. The underlined effective model can suggest axillary surgical planning, and reduce the risk of missing positive lymph nodes by SLNB after NCT. It has great value for identifying initial cN+ patients who are more appropriate for SLNB post-chemotherapy.

Perovskite Quantum Dots as Multifunctional Interlayers in Perovskite Solar Cells with Dopant-Free Organic Hole Transporting Layers.

Perovskite solar cells (PSCs) with organic hole transporting layers (o-HTLs) have been widely studied due to their convenient solution processing, but it remains a big challenge to improve the hole mobilities of commercially available organic hole transporting materials without ion doping while maintaining the stability of PSCs. In this work, we demonstrated that the introduction of perovskite quantum dots (QDs) as interlayers between perovskite layers and dopant-free o-HTLs (P3HT, PTAA, Spiro-OMeTAD) resulted in a significantly enhanced performance of PSCs. The universal role of QDs in improving the efficiency and stability of PSCs was validated, exceeding that of lithium doping. After a deep examination of the mechanism, QD interlayers provided the multifunctional roles as follows: (1) passivating the perovskite surface to reduce the overall amount of trap states; (2) promoting hole extraction from perovskite to dopant-free o-HTLs by forming cascade energy levels; (3) improving hole mobilities of dopant-free o-HTLs by regulating their polymer/molecule orientation. What is more, the thermal/moisture/light stabilities of dopant-free o-HTLs-based PSCs were greatly improved with QD interlayers. Finally, we demonstrated the reliability of the QD interlayers by fabricating large-area solar modules with dopant-free o-HTLs, showing great potential in commercial usage.

Nomogram for Predicting Overall Survival and Assessing the Survival Benefit of Adjuvant Treatment in pT1-2N0M0 Triple-Negative Breast Cancer: A Surveillance, Epidemiology, and End Results-Based Study.

Background: Accurate survival prediction of triple-negative breast cancer (TNBC) is essential in the decision-making of adjuvant treatment. The aim of this prospective study was to develop a nomogram that predicts overall survival and assists adjuvant treatment formulation. Methods: A total of 16,977 patients with pT1-2N0M0 TNBC between 2010 and 2015 from the SEER database were enrolled. Independent prognostic factors associated with overall survival (OS) were identified using univariate and multivariate Cox regression hazards method and utilized to compose the nomogram. The survival benefit of adjuvant treatment on OS were analyzed after stratification by nomogram sum-score. Results: Patients were randomized 7:3 into the training and validation cohorts. Multivariate analysis revealed that age at diagnosis, grade, tumor size, laterality, and mastectomy type were independent prognostic factors of OS and were integrated to develop a nomogram for predicting prognosis. Patients were stratified into 3 prognostic subgroups according to the sum-score of our nomogram. There were no significant differences found in OS between surgery alone and other adjuvant treatment strategies in low risk group. In moderate risk group, patients receiving chemotherapy or the combination of chemotherapy and radiotherapy showed better OS than those receiving surgery alone or radiotherapy alone. For patients in high risk group, the combination of chemotherapy and radiotherapy could maximally improve the overall survival rate of patients. Conclusion: A novel nomogram for OS prediction and risk stratification in patients with pT1-2N0M0 TNBC was developed. This cohort study reveals the prognostic roles of different adjuvant treatment strategies in subgroups, which may provide a reference for the decision-making of postoperative treatment, eventually improving prognosis for individual patients.

Long non coding RNA NRON inhibited breast cancer development through regulating miR-302b/SRSF2 axis.

AIMS: Long noncoding RNA NRON has been investigated in various tumors, such as hepatocellular carcinoma. However, the role of lncRNA NRON in breast cancer remains unclear. The aim of this study was to explore the function and mechanism of lncRNA NRON in breast cancer. MATERIALS AND METHODS: Overexpression and knockdown vectors were constructed. Proliferation and invasion were measured to evaluate the function of lncRNA NRON. A dual-luciferase reporter assay was utilized to analyze the potential binding target of lncRNA NRON. A rescue experiment was performed to verify the relationship between lncRNA NRON and SRSF2. RESULTS: Our results showed that the expression of lncRNA NRON was significantly downregulated in breast cancer tissues. Overexpression of lncRNA NRON significantly inhibited proliferation and invasion in breast cancer cell lines. Knockdown of lncRNA NRON promoted breast cancer development. We also provided evidence that lncRNA NRON negatively regulated miR-302b. Moreover, we identified SRSF2 as a downstream target of miR-302b. CONCLUSION: Overall, we performed a comprehensive analysis to indicate that the lncRNA NRON/miR-302b/SRSF2 axis plays an important role in breast cancer. Our study is the first to prove that lncRNA NRON functions as a tumor suppressor in breast cancer.

Hot-carrier transfer at photocatalytic silicon/platinum interfaces.

Interfacial charge transfer from silicon to heterogeneous catalysts plays a key role in silicon-based photoelectrochemical systems. In general, prior to interfacial charge transfer, carriers that are generated by photons with energies above the bandgap dissipate the excess kinetic energy via hot-carrier cooling, and such energy loss limits the maximum power conversion efficiency. The excess energy of hot-carriers, however, could be utilized through hot-carrier transfer from silicon to the catalysts, but such hot-carrier extraction has not yet been demonstrated. Here, we exploit transient reflection spectroscopy to interrogate charge transfer at the interface between silicon and platinum. Quantitative modeling of the surface carrier kinetics indicates that the velocity of charge transfer from silicon to platinum exceeds 2.6 × 107 cm s-1, corresponding to an average carrier temperature of extracted carriers of ∼600 K, two times higher than the lattice temperature. The charge transfer velocity can be controllably reduced by inserting silica spacing layers between silicon and platinum.

Enhanced organics and Cu2+ removal in electroplating wastewater by bioaugmentation.

With the improvement of electroplating process and products requirement, refractory organics, heavy metals or even heavy metal nanoparticles (NP) exist simultaneously in electroplating wastewater inevitably, makes electroplating wastewater treatment effluent difficult to meet the discharge standard. In order to improve the organics removal under the exposure of CuO NP, strains (designated as L1-L5) that have both organics degradation and Cu2+ tolerance capacities were isolated and employed in the electroplating wastewater bioaugmentation treatment using a hydrolytic/anoxic/oxic-membrane bioreactor. The Cu2+ adsorption process followed pseudo-second order kinetics and the isotherms fit well to Langmuir isotherm model. L2, L3 and L4 showed higher Cu2+ adsorption capacity than that of L1 and L5. Under the optimal condition, the maximum Cu2+ adsorption capacity of L2, L3 and L4 was 34.15, 45.68 and 26.72 mg g-1, respectively. Their average COD removal efficiency achieved 65.7 ±â€¯10.9%, 61.5 ±â€¯6.7% and 71.6 ±â€¯6.0%, respectively. The three isolates were used to construct consortia with the inoculum concentration of 400 mg L-1. One-time and repeated inoculations were evaluated to find the applicable strategy. Repeated inoculation resulted in a better COD and Cu removal performance (76.2 ±â€¯2.6% and 98.5 ±â€¯0.3%, respectively) than those of one-time inoculation (69.0 ±â€¯2.0% and 98.0 ±â€¯0.3%, respectively). The most functionally stable, balanced and resistant bacterial community was formed in the one-time inoculation system while for fungal community it was formed in the repeated inoculation system.

The inconsistency of molecular subtypes between primary foci and metastatic axillary lymph nodes in Luminal A breast cancer patients among Chinese women, an indication for chemotherapy?

Patients with Luminal A breast cancer often have favorable prognosis, but some of these patients still have lymph node metastases, it remains unclear what the role of adjuvant chemotherapy is in Luminal A subtype with lymph node metastases. The aim of this study was to find a new method to distinguish which Luminal A patient can be benefited from chemotherapy. We retrospectively investigated the inconsistency of molecular subtypes between primary foci and metastatic axillary lymph nodes in Luminal A breast cancer patients, and analyzed the clinicopathologic characteristics, Recurrence score (RS), disease-free survival (DFS), and overall survival (OS) in 146 Luminal A breast cancer patients. The discordance of molecular subtypes between primary foci and metastatic lymph nodes were explored by univariate and multivariate logistic regression. The DFS and OS were calculated by the Kaplan-Meier survival curves, and the Cox regression analyses were performed to identify independent prognostic factors for DFS and OS. In our results, the inconsistency was found in 55 patients (55/146, 37.67 %). Lymphatic vascular invasion (OR 6.402, 95 % CI 2.371-17.287, P < 0.001), lymph node stage (OR 2.147, 95 % CI 1.095-4.209, P = 0.026), and histological grade (OR 3.319, 95 % CI 1.101-8.951, P = 0.032) were significantly related to the inconsistency. The inconsistent group (non-Luminal A variations) had a poor prognosis compared with the consistent group, the DFS between the two groups was significantly different (P = 0.022), but the OS did not have obvious difference (P = 0.140). Moreover, the inconsistency was associated with high RS (P = 0.036). In conclusion, more aggressive molecular subtypes in metastatic lymph nodes, which associated with poor prognosis, were observed in Luminal A breast cancer patients, which indicate that chemotherapy is necessary for these patients.