Digestive and breast cancer patients managed during the first wave of COVID-19 pandemic:Short and middle term outcomes

BACKGROUND The first wave of coronavirus disease 2019(COVID-19)pandemic in Spain lasted from middle March to the end of June 2020.Spanish population was subjected to lockdown periods and scheduled surgeries were discontinued or reduced during variable periods.In our centre,we managed patients previously and newly diagnosed with cancer.We established a strategy based on limiting perioperative social contacts,preoperative screening(symptoms and reverse transcriptionpolymerase chain reaction)and creating separated in-hospital COVID-19-free pathways for non-infected patients.We also adopted some practice modifications(surgery in different facilities,changes in staff and guidelines,using continuously changing personal protective equipment…),that supposed new inconveniences.AIM To analyse cancer patients with a decision for surgery managed during the first wave,focalizing on outcomes and pandemic-related modifications.METHODS We prospectively included adults with a confirmed diagnosis of colorectal,oesophago-gastric,liver-pancreatic or breast cancer with a decision for surgery,regardless of whether they ultimately underwent surgery.We analysed short-term outcomes[30-d postoperative morbimortality and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infection]and outcomes after 3 years(adjuvant therapies,oncological events,death,SARS-CoV-2 infection and vaccination).We also investigated modifications to usual practice.RESULTS From 96 included patients,seven didn’t receive treatment that period and four never(3 due to COVID-19).Operated patients:28 colon and 21 rectal cancers;laparoscopy 53.6%/90.0%,mortality 3.57%/0%,major complications 7.04%/25.00%,anastomotic leaks 0%/5.00%,3-years disease-free survival(DFS)82.14%/52.4%and overall survival(OS)78.57%/76.2%.Six liver metastases and six pancreatic cancers:no mortality,one major complication,three grade A/B liver failures,one bile leak;3-year DFS 0%/33.3%and OS 50.0%/33.3%(liver metastases/pancreatic carcinoma).5 gastric and 2 oesophageal tumours:mortality 0%/50%,major complications 0%/100%,anastomotic leaks 0%/100%,3-year DFS and OS 66.67%(gastric carcinoma)and 0%(oesophagus).Twenty breast cancer without deaths/major complications;3-year OS 100%and DFS 85%.Nobody contracted SARS-CoV-2 postoperatively.COVID-19 pandemic–related changes:78.2%treated in alternative buildings,43.8%waited more than 4 weeks,two additional colostomies and fewer laparoscopies.CONCLUSION Some patients lost curative-intent surgery due to COVID-19 pandemic.Despite practice modifications and 43.8%delays higher than 4 weeks,surgery was resumed with minimal changes without impacting outcomes.Clean pathways are essential to continue surgery safely.

Role of ESR Pathway Genes in Breast Cancer: A Review

Breast cancer is the leading cause of death in women. Prognosis of breast cancer is often pessimistic because the tumors are prone to metastasizing to the bone, brain, and lung. The estrogen signaling receptor (ESR) pathway contains 39 main genes and proteins which makes it one of the larger signaling pathways. Predominately this pathway and the proteins within are involved in breast growth and development, making it a prospective area of study for breast cancer. While the healthy ESR pathway has been constructed and is well established, a mechanistic model of mutated genes of ESR pathway has not been delved upon. Such mutated models could be utilized for selecting combinational targets for drug therapies, as well as elucidating crosstalk between other pathways and feedback mechanisms. To construct the mutated models of the ESR pathway it is imperative to assess what is currently understood in the literature and what inconsistencies exist in order to resolve them. Without this information, a model of the ESR pathway will be unreliable and likely unproductive. This review is the detailed literature survey of the biological studies performed on ESR pathways genes, and their respective roles in breast cancer. Furthermore, the details mentioned in the review can be beneficial for the integrated study of the ESR pathway genes, which includes, structural and dynamics study of the genes products, to have a holistic understanding of the cancer mechanism.

Molecular Docking Studies of Botanical Beverage Mix Berries (LIFEGREENTM) against Breast Cancer Cells from Targeted Protein 1QQG, 7B5Q & 7B5O & Uterine Fibroid from Targeted Protein 2AYR, 6T41 & 3GRF

Fibroids, also called leiomyomas or myomas, are communal tumors of the muscle or uterine wall that affect about 20% of females who are of reproductive age. They can look as if singly or in clusters, and they often cease to grow after menopause. Fibroids can be classified as intramural, sub serosal, pedunculated, or submucosal based on where they are positioned in the uterus. Although fibroids are benign, they can grow quickly and cause a range of symptoms, such as pelvic pressure, heavy menstrual flow, and infertility. As a result, fibroids are a main reason behind hysterectomy surgeries. The majority of cases of breast cancer are ductal and lobular cancers, making it the second utmost common cancer in women international. Gene mutations like those in BRCA1 or BRCA2 knowingly raise the risk of breast and other cancers, typically with an earlier cancer onset. Cancer risk is influenced by a complex interplay of genetic abnormalities, environmental factors, and lifestyle selections. Further research into these relations is domineering. Although they are common in uterine leiomyomas, especially multiple leiomyomas, MED12 mutations do not significantly correlate with tumor size. These mutations have also been noticed in smooth muscle tumors and leiomyosarcomas, two other types of uterine cancer. The identification of MED12 mutations as the sole genetic abnormality originates in leiomyomas raises the opportunity of a role in the genesis of cancer. 10% - 15% of women who are of reproductive age have endometriosis, which grants serious difficulties because of its chronic nature and range of clinical symptoms. Even after effective surgeries, issues reoccur often, adding to the enormous financial burden. The effects of MED12 mutations have been experiential in recent studies examining the molecular causes of endometriosis-associated infertility, which have shown anomalies in cellular connections and signaling cascades. Computational techniques were used in this study to investigate LifeGreenTM’s potential to prevent uterine fibroids and breast cancer. The efficacy of LifeGreenTM as a preventive measure or a treatment for common gynecological matters was examined and modeled. We investigated the mechanisms underlying LifeGreenTM’s benefits in the treatment of uterine fibroids and breast cancer using computational techniques. Our research contributes to our understanding of its potential therapeutic benefits for women’s health.

Quercetin inhibits truncated isoform of dopamine-and cAMP-regulated phosphoprotein as adjuvant treatment for trastuzumab therapy resistance in HER2-positive breast cancer

Trastuzumab resistance is one of the causes of poor prognosis in patients with human epidermal growth factor receptor 2(HER2)-positive(HER2+)breast cancer(BC).The truncated isoform of dopamine-and cAMPregulated phosphoprotein(t-DARPP)has been reported to be involved in trastuzumab therapy resistance and promoting tumor progression.To evaluate the t-DARPP expression in BC,paired tumors and surrounding normal tissues were analyzed by real-time polymerase chain reaction and confirmed higher DARPP-32 kDa family mRNA expression in HER2+BC tumor tissues.We established 2 patient-derived xenografts(PDX)mice models to test the efficacy of trastuzumab,named model 1(non-responder)and model 2(responder).t-DARPP and p95-HER2 protein-protein interactions were detected in PDX tumor tissue from non-responders using Förster resonance energy transfer assays.Instead,there is no response from the responder.Furthermore,mechanistic studies using transwell and western blot assays demonstrated that t-DARPP could upregulate epithelial-mesenchymal transition signaling proteins,enhance p95-HER2 expression and promote cell migration.We found that quercetin effectively reduced t-DARPP expression in HER2+BC cells.In t-DARPP ShRNA-suppressed cells,quercetin synergistically enhanced trastuzumab-induced apoptotic cell death and G2/M phase arrest.In conclusion,the combination of quercetin and trastuzumab treatment by targeting t-DARPP in HER2+BC patients has the potential as a biomarker for mitigating drug resistance.

New Approaches to the Prognosis and Diagnosis of Breast Cancer Using Fuzzy Expert Systems

Breast cancer remains a significant global health challenge, necessitating effective early detection and prognosis to enhance patient outcomes. Current diagnostic methods, including mammography and MRI, suffer from limitations such as uncertainty and imprecise data, leading to late-stage diagnoses. To address this, various expert systems have been developed, but many rely on type-1 fuzzy logic and lack mobile-based applications for data collection and feedback to healthcare practitioners. This research investigates the development of an Enhanced Mobile-based Fuzzy Expert system (EMFES) for breast cancer pre-growth prognosis. The study explores the use of type-2 fuzzy logic to enhance accuracy and model uncertainty effectively. Additionally, it evaluates the advantages of employing the python programming language over java for implementation and considers specific risk factors for data collection. The research aims to dynamically generate fuzzy rules, adapting to evolving breast cancer research and patient data. Key research questions focus on the comparative effectiveness of type-2 fuzzy logic, the handling of uncertainty and imprecise data, the integration of mobile-based features, the choice of programming language, and the creation of dynamic fuzzy rules. Furthermore, the study examines the differences between the Mamdani Inference System and the Sugeno Fuzzy Inference method and explores challenges and opportunities in deploying the EMFES on mobile devices. The research identifies a critical gap in existing breast cancer diagnostic systems, emphasizing the need for a comprehensive, mobile-enabled, and adaptable solution by developing an EMFES that leverages Type-2 fuzzy logic, the Sugeno Inference Algorithm, Python Programming, and dynamic fuzzy rule generation. This study seeks to enhance early breast cancer detection and ultimately reduce breast cancer-related mortality.

Role of FDG PET-CT in evaluation of locoregional nodal disease for initial staging of breast cancer

Fluorodeoxyglucose positron emission tomography/computed tomography(FDG PET/CT) is not indicated or recommended in the initial staging of early breast cancer. Although it is valuable for detecting distant metastasis, providing prognostic information, identifying recurrence and evaluating response to chemotherapy, the role of FDG PET/CT in evaluating locoregional nodal status for initial staging of breast cancer has not yet been well-defined in clinical practice. FDG PET/CT has high specificity but compromised sensitivity for identifying axillary nodal disease in breast cancer. Positive axillary FDG PET/CT is a good predictor of axillary disease and correlates well with sentinel lymph node biopsy(SLNB). FDG PET/CT may help to identify patients with high axillary lymph node burden who could then move directly to axillary lymph node dissection(ALND) and would not require the additional step of SLNB. However, FDG PET/CT cannot replace SLNB or ALND due to unsatisfactory sensitivity. The spatial resolution of PET instruments precludes the detection of small nodal metastases. Although there is still disagreement regarding the management of internal mammary node(IMN) disease in breast cancer, it is known that IMN involvement is of prognostic significance, and IMN metastasis has been associated with higher rates of distant metastasis and lower overall survival rates. Limited clinical observationssuggested that FDG PET/CT has advantages over conventional modalities in detecting and uncovering occult extra-axillary especially IMN lesions with upstaging the disease and an impact on the adjuvant management.

Effectiveness of a theory-based tailored mHealth physical activity intervention for women undergoing chemotherapy for breast cancer:A quasi-experimental study

Objectives:This study aimed to explore the effectiveness of the theory-based tailored mHealth physical activity(PA)intervention among patients with breast cancer undergoing chemotherapy.Methods:A quasi-experimental study design was adopted.A total of 60 breast cancer patients were selected from two tertiary hospitals in Shanghai and Hangzhou City from September 2019 to August 2021.According to the admission order,30 patients werefirst included in the control group,followed by 30 patients in the intervention group.A smartphone application(app)named“Breast Care”was developed based on social cognitive theory,self-efficacy theory,and the theory of planned behavior.The app integrated various functions,including information browsing,PA monitoring and feedback,symptom reporting,and social interaction.Patients in the intervention group received three months of personalized online PA guidance in addition to routine care.The control group received routine care.Baseline and post-intervention investigations after three months were conducted in two groups using the Short Form of International Physical Activity Questionnaire,the Hospital Anxiety and Depression Scale,and the Functional Assessment of Cancer TherapydBreast cancer.Results:After three months of intervention,compared to the control group,breast cancer patients in the intervention group showed significant improvements in walking,moderate PA,and overall PA(P<0.05).Compared to the baseline data,breast cancer patients in the intervention group had significant improvements in walking and overall PA after three months(P<0.05),whereas the control group experienced significant declines in walking,moderate PA,and overall PA after three months(P<0.05).There were statistically differences between the two groups in scores for anxiety,overall quality of life,and its dimensions,such as physical well-being,emotional well-being,and additional breast cancer well-being(P<0.05).Conclusions:The theory-based tailored mHealth PA intervention has demonstrated a positive impact on promoting PA behavior change and emotional management among breast cancer patients.The‘Breast Care’app integrated various practical behavior change strategies,offering valuable guidance for personalized remote rehabilitation support for cancer patients.

Research progress in tumor angiogenesis and drug resistance in breast cancer

Angiogenesis is considered a hallmark pathophysiological process in tumor development. Aberrant vasculature resulting from tumor angiogenesis plays a critical role in the development of resistance to breast cancer treatments, via exacerbation of tumor hypoxia, decreased effective drug concentrations within tumors, and immune-related mechanisms. Antiangiogenic therapy can counteract these breast cancer resistance factors by promoting tumor vascular normalization. The combination of antiangiogenic therapy with chemotherapy, targeted therapy, or immunotherapy has emerged as a promising approach for overcoming drug resistance in breast cancer. This review examines the mechanisms associated with angiogenesis and the interactions among tumor angiogenesis, the hypoxic tumor microenvironment, drug distribution, and immune mechanisms in breast cancer. Furthermore, this review provides a comprehensive summary of specific antiangiogenic drugs, and relevant studies assessing the reversal of drug resistance in breast cancer. The potential mechanisms underlying these interventions are discussed, and prospects for the clinical application of antiangiogenic therapy to overcome breast cancer treatment resistance are highlighted.

Vaccinia-related kinase 2 variants differentially affect breast cancer growth by regulating kinase activity

Genetic information is transcribed from genomic DNA to mRNA,which is then translated into threedimensional proteins.mRNAs can undergo various post-transcriptional modifications,including RNA editing that alters mRNA sequences,ultimately affecting protein function.In this study,RNA editing was identified at the 499th base(c.499)of human vaccinia-related kinase 2(VRK2).This RNA editing changes the amino acid in the catalytic domain of VRK2 from isoleucine(with adenine base)to valine(with guanine base).Isoleucine-containing VRK2 has higher kinase activity than the valine-containing VRK2,which leads to an increase in tumor cell proliferation.Earlier we reported that VRK2 directly interacts with dystrobrevin-binding protein(dysbindin)and results in reducing its stability.Herein,we demonstrate that isoleucine-containing VRK2 decreases the level of dysbindin than valinecontaining VRK2.Dysbindin interacts with cyclin D and thereby regulates its expression and function.The reduction in the level of dysbindin by isoleucine-containing VRK2 further enhances the cyclin D expression,resulting in increased tumor growth and reduction in survival rates.It has also been observed that in patient samples,VRK2 level was elevated in breast cancer tissue compared to normal breast tissue.Additionally,the isoleucine form of VRK2 exhibited a greater increase in breast cancer tissue.Therefore,it is concluded that VRK2,especially dependent on the 167th variant amino acid,can be one of the indexes of tumor progression and proliferation.

Machine Learning Techniques Using Deep Instinctive Encoder-Based Feature Extraction for Optimized Breast Cancer Detection

Breast cancer(BC)is one of the leading causes of death among women worldwide,as it has emerged as the most commonly diagnosed malignancy in women.Early detection and effective treatment of BC can help save women’s lives.Developing an efficient technology-based detection system can lead to non-destructive and preliminary cancer detection techniques.This paper proposes a comprehensive framework that can effectively diagnose cancerous cells from benign cells using the Curated Breast Imaging Subset of the Digital Database for Screening Mammography(CBIS-DDSM)data set.The novelty of the proposed framework lies in the integration of various techniques,where the fusion of deep learning(DL),traditional machine learning(ML)techniques,and enhanced classification models have been deployed using the curated dataset.The analysis outcome proves that the proposed enhanced RF(ERF),enhanced DT(EDT)and enhanced LR(ELR)models for BC detection outperformed most of the existing models with impressive results.

Eribulin in breast cancer:Current insights and therapeutic perspectives

Eribulin is a non-taxane synthetic analogue approved in many countries as thirdline treatment for the treatment of patients with metastatic breast cancer.In addition to its mitotic property,eribulin has non-mitotic properties including but not limited to,its ability to induce phenotypic reversal of epithelial to mesenchymal transition,vascular remodelling,reduction in immunosuppressive tumour microenvironment.Since approval,there has been a surge in studies investigating the application of eribulin as an earlier-line treatment and also in combination with other agents such as immunotherapy and targeted therapy across all breast cancer sub-types,including hormone receptor positive,HER2 positive and triple negative breast cancer,many demonstrating promising activity.This review will focus on the application of eribulin in the treatment of metastatic breast cancer across all subtypes including its role as an earlier-line agent,its toxicity profile,and potential future directions.

ROR2 promotes invasion and chemoresistance of triple-negative breast cancer cells by activating PI3K/AKT/mTOR signaling

Objective:This study aimed to investigate the role of receptor tyrosine kinase-like orphan receptor 2(ROR2)in triple-negative breast cancer(TNBC).Methods:ROR2 expression in primary TNBC and metastatic TNBC tissues was analyzed by immunohistochemical staining and PCR.ROR2 expression in TNBC cell lines was detected by PCR and Western blot analysis.The migration,invasion and chemosensitivity of TNBC cells with overexpression or knockdown of ROR2 were examined.Results:ROR2 expression was high in metastatic TNBC tissues.ROR2 knockdown suppressed the migration,invasion and chemoresistance of TNBC cells.ROR2 overexpression in MDA-MB-435 cells promoted the migration,invasion,and chemoresistance.Moreover,ROR2 knockdown in HC1599 and MDA-MB-435 adriamycin-resistant cells enhanced chemosensitivity to adriamycin.ROR2 could activate PI3K/AKT/mTOR signaling in TNBC cells.Conclusion:ROR2 is upregulated and promotes metastatic phenotypes of TNBC by activating PI3K/AKT/mTOR signaling.

Inetetamab combined with pyrotinib and chemotherapy in the treatment of breast cancer brain metastasis: A case report

BACKGROUND Breast cancer brain metastasis(BCBM)is an advanced breast disease that is difficult to treat and is associated with a high risk of death.Patient prognosis is usually poor,with reduced quality of life.In this context,we report the case of a patient with HER-2-positive BCBM treated with a macromolecular mAb(ine-tetamab)combined with a small molecule tyrosine kinase inhibitor(TKI).CASE SUMMARY The patient was a 58-year-old woman with a 12-year history of type 2 diabetes.She was compliant with regular insulin treatment and had good blood glucose control.The patient was diagnosed with invasive carcinoma of the right breast(T3N1M0 stage IIIa,HER2-positive type)through aspiration biopsy of the ipsilateral breast due to the discovery of a breast tumor in February 2019.Immunohistochemistry showed ER(-),PR(-),HER-2(3+),and Ki-67(55-60%+).Preoperative neoadjuvant chemotherapy,i.e.,the AC-TH regimen(epirubicin,cyclophosphamide,docetaxel-paclitaxel,and trastuzumab),was administered for 8 cycles.She underwent modified radical mastectomy of the right breast in November 2019 and received tocilizumab targeted therapy for 1 year.Brain metastasis was found 9 mo after surgery.She underwent brain metastasectomy in August 2020.Immunohistochemistry showed ER(-)and PR.(-),HER-2(3+),and Ki-67(10-20%+).In November 2020,the patient experienced headache symptoms.After an examination,tumor recurrence in the original surgical region of the brain was observed,and the patient was treated with inetetamab,pyrotinib,and capecitabine.Whole-brain radiotherapy was recommended.The patient and her family refused radiotherapy for personal reasons.In September 2021,a routine examination revealed that the brain tumor was considerably larger.The original systemic treatment was continued and combined with intensity-modulated radiation therapy for brain metastases,followed by regular hospitalization and routine examinations.The patient’s condition is generally stable,and she has a relatively high quality of life.This case report demonstrates that in patients with BCBM and resistance to trastuzumab,inetetamab combined with pyrotinib and chemotherapy can prolong survival.CONCLUSION Inetetamab combined with small molecule TKI drugs,chemotherapy and radiation may be an effective regimen for maintaining stable disease in patients with BCBM.

Systemic oncological therapy in breast cancer patients on dialysis

The advancement of renal replacement therapy has significantly enhanced the survival rates of patients with end-stage renal disease(ESRD)over time.How-ever,this prolonged survival has also been associated with a higher likelihood of cancer diagnoses among these patients including breast cancer.Breast cancer treatment typically involves surgery,radiation,and systemic therapies,with ap-proaches tailored to cancer type,stage,and patient preferences.However,renal replacement therapy complicates systemic therapy due to altered drug clearance and the necessity for dialysis sessions.This review emphasizes the need for opti-mized dosing and administration strategies for systemic breast cancer treatments in dialysis patients,aiming to ensure both efficacy and safety.Additionally,ch-allenges in breast cancer screening and diagnosis in this population,including soft-tissue calcifications,are highlighted.

Unveiling the therapeutic potential:KBU2046 halts triple-negative breast cancer cell migration by constricting TGF-β1 activation in vitro

Background:Triple-negative breast cancer(TNBC)is a heterogeneous,recurring cancer characterized by a high rate of metastasis,poor prognosis,and lack of efficient therapies.KBU2046,a small molecule inhibitor,can inhibit cell motility in malignant tumors,including breast cancer.However,the specific targets and the corresponding mechanism of its function remain unclear.Methods:In this study,we employed(3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H tetrazolium)(MTS)assay and transwell assay to investigate the impact of KBU2046 on the proliferation and migration of TNBC cells in vitro.RNA-Seq was used to explore the targets of KBU2046 that inhibit the motility of TNBC.Finally,confirmed the predicted important signaling pathways through RT-qPCR and western blotting.Results:In this study,we found that KBU2046 functioned as a novel transforming growth factor-β(TGF-β1)inhibitor,effectively suppressing tumor cell motility in vitro.Mechanistically,it directly down-regulated leucine-rich repeat-containing 8 family,member E(LRRC8E),latent TGFβ-binding protein 3(LTBP3),dynein light chain 1(DNAL1),and MAF family of bZIP transcription factors(MAFF)genes,along with reduced protein expression of the integrin family.Additionally,KBU2046 decreased phosphorylation levels of Raf and ERK.This deactivation of the ERK signaling pathway impeded cancer invasion and metastasis.Conclusions:In summary,these findings advocate for the utilization of TGF-β1 as a diagnostic and prognostic biomarker and as a therapeutic target in TNBC.Furthermore,our data underscore the potential of KBU2046 as a novel therapeutic strategy for combating cancer metastasis.

Clinical Application of Preliminary Breast Cancer Screening for Dense Breasts Using Real-Time AI-Powered Ultrasound with Deep-Learning Computer Vision

Objective:We propose a solution that is backed by cloud computing,combines a series of AI neural networks of computer vision;is capable of detecting,highlighting,and locating breast lesions from a live ultrasound video feed,provides BI-RADS categorizations;and has reliable sensitivity and specificity.Multiple deep-learning models were trained on more than 300,000 breast ultrasound images to achieve object detection and regions of interest classification.The main objective of this study was to determine whether the performance of our Al-powered solution was comparable to that of ultrasound radiologists.Methods:The noninferiority evaluation was conducted by comparing the examination results of the same screening women between our AI-powered solution and ultrasound radiologists with over 10 years of experience.The study lasted for one and a half years and was carried out in the Duanzhou District Women and Children's Hospital,Zhaoqing,China.1,133 females between 20 and 70 years old were selected through convenience sampling.Results:The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value were 93.03%,94.90%,90.71%,92.68%,and 93.48%,respectively.The area under the curve(AUC)for all positives was 0.91569 and the AUC for all negatives was 0.90461.The comparison indicated that the overall performance of the AI system was comparable to that of ultrasound radiologists.Conclusion:This innovative AI-powered ultrasound solution is cost-effective and user-friendly,and could be applied to massive breast cancer screening.

Current medical treatment of estrogen receptor-positive breast cancer

Approximately 80% of breast cancers(BC) are estrogen receptor(ER)-positive and thus endocrine therapy(ET) should be considered complementary to surgery in the majority of patients. The advantages of oophorectomy, adrenalectomy and hypophysectomy in women with advanced BC have been demonstrated many years ago, and currently ET consist of(1) ovarian function suppression(OFS), usually obtained using gonadotropinreleasing hormone agonists(Gn RHa);(2) selective estrogen receptor modulators or down-regulators(SERMs or SERDs); and(3) aromatase inhibitors(AIs), or a combination of two or more drugs. For patients aged less than 50 years and ER+ BC, there is no conclusive evidence that the combination of OFS and SERMs(i.e., tamoxifen) or chemotherapy is superior to OFS alone. Tamoxifen users exhibit a reduced risk of BC, both invasive and in situ, especially during the first 5 years of therapy, and extending the treatment to 10 years further reduced the risk of recurrences. SERDs(i.e., fulvestrant) are especially useful in the neoadjuvant treatment of advanced BC, alone or in combination with either cytotoxic agents or AIs. There are two types of AIs: type Ⅰ are permanent steroidal inhibitors of aromatase, while type Ⅱ are reversible nonsteroidal inhibitors. Several studies demonstrated the superiority of the third-generation AIs(i.e., anastrozole and letrozole) compared with tamoxifen, and adjuvant therapy with AIs reduces the recurrence risk especially in patients with advanced BC. Unfortunately, some cancers are or became ET-resistant, and thus other drugs have been suggested in combination with SERMs or AIs, including cyclin-dependent kinase 4/6 inhibitors(palbociclib) and mammalian target of rapamycin(m TOR) inhibitors, such as everolimus. Further studies are required to confirm their real usefulness.

Assessment of Breast Cancer Prevention Practices among Women Attending Primary Health Care in Abha City, Aseer Region, Saudi Arabia

Cancer is a leading cause of death worldwide, with breast cancer being the most common (2.26 million new cases and 685,000 deaths). In Saudi Arabia, breast cancer ranked the first among females in 2014, accounting for 15.9% of all cancers reported among Saudi nationals and 28.7% of all cancers reported among females of all ages. Early detection of breast cancer could decrease the risks, have a better prognosis, and have better outcomes/more successful treatments. Prevalence of breast cancer reached more than 25% of all diagnosed cancer in the kingdom among women. Aim: This study aims to assess the knowledge and performance of women attending primary care centers about breast self-examination and mammogram screening for prevention and early detection of breast cancer in Abha city primary healthcare centers, Kingdom of Saudi Arabia. Research Method: cross sectional design was conducted by using questionnaire, which was distributed to primary care center nurses. The collected data was statistically analyzed using the Statistical Package for Social Sciences, version 25. Results: The study found that participants had poor awareness and knowledge about breast self-examination, risk factors for breast cancer, and trends and practices in early diagnosis of breast cancer. Conclusion and Recommendations: It recommends increasing awareness campaigns and providing educational programs to improve knowledge and practices.

Sequential neoadjuvant chemotherapy using pegylated liposomal doxorubicin and cyclophosphamide followed by taxanes with complete trastuzumab and pertuzumab treatment for HER2-positive breast cancer: A phase Ⅱ single-arm study

Objective: Despite cardiotoxicity overlap, the trastuzumab/pertuzumab and anthracycline combination remains crucial due to significant benefits. Pegylated liposomal doxorubicin(PLD), a less cardiotoxic anthracycline, was evaluated for efficacy and cardiac safety when combined with cyclophosphamide and followed by taxanes with trastuzumab/pertuzumab in human epidermal growth factor receptor-2(HER2)-positive early breast cancer(BC).Methods: In this multicenter, phase II study, patients with confirmed HER2-positive early BC received four cycles of PLD(30-35 mg/m^(2)) and cyclophosphamide(600 mg/m^(2)), followed by four cycles of taxanes(docetaxel,90-100 mg/m^(2) or nab-paclitaxel, 260 mg/m^(2)), concomitant with eight cycles of trastuzumab(8 mg/kg loading dose,then 6 mg/kg) and pertuzumab(840 mg loading dose, then 420 mg) every 3 weeks. The primary endpoint was total pathological complete response(tp CR, yp T0/is yp N0). Secondary endpoints included breast p CR(bp CR),objective response rate(ORR), disease control rate, rate of breast-conserving surgery(BCS), and safety(with a focus on cardiotoxicity).Results: Between May 27, 2020 and May 11, 2022, 78 patients were treated with surgery, 42(53.8%) of whom had BCS. After neoadjuvant therapy, 47 [60.3%, 95% confidence interval(95% CI), 48.5%-71.2%] patients achieved tp CR, and 49(62.8%) achieved bp CR. ORRs were 76.9%(95% CI, 66.0%-85.7%) and 93.6%(95% CI,85.7%-97.9%) after 4-cycle and 8-cycle neoadjuvant therapy, respectively. Nine(11.5%) patients experienced asymptomatic left ventricular ejection fraction(LVEF) reductions of ≥10% from baseline, all with a minimum value of >55%. No treatment-related abnormal cardiac function changes were observed in mean N-terminal pro-BNP(NT-pro BNP), troponin I, or high-sensitivity troponin.Conclusions: This dual HER2-blockade with sequential polychemotherapy showed promising activity with rapid tumor regression in HER2-positive BC. Importantly, this regimen showed an acceptable safety profile,especially a low risk of cardiac events, suggesting it as an attractive treatment approach with a favorable risk-benefit balance.

Role of cancer stem cell ecosystem on breast cancer metastasis and related mouse models

Breast cancer metastasis is responsible for most breast cancer-related deaths and is influenced by many factors within the tumor ecosystem,including tumor cells and microenvironment.Breast cancer stem cells(BCSCs)constitute a small population of cancer cells with unique characteristics,including their capacity for self-renewal and differentiation.Studies have shown that BCSCs not only drive tumorigenesis but also play a crucial role in promoting metastasis in breast cancer.The tumor microenvironment(TME),composed of stromal cells,immune cells,blood vessel cells,fibroblasts,and microbes in proximity to cancer cells,is increasingly recognized for its crosstalk with BCSCs and role in BCSC survival,growth,and dissemination,thereby influencing metastatic ability.Hence,a thorough understanding of BCSCs and the TME is critical for unraveling the mechanisms underlying breast cancer metastasis.In this review,we summarize current knowledge on the roles of BCSCs and the TME in breast cancer metastasis,as well as the underlying regulatory mechanisms.Furthermore,we provide an overview of relevant mouse models used to study breast cancer metastasis,as well as treatment strategies and clinical trials addressing BCSC-TME interactions during metastasis.Overall,this study provides valuable insights for the development of effective therapeutic strategies to reduce breast cancer metastasis.