Understanding breast cancer as a global health concern

Circ_RPPH1 facilitates progression of breast cancer via miR-1296-5p/TRIM14 axis

Circular RNA Ribonuclease P RNA Component H1 (circ_RPPH1) and microRNA (miRNA) miR-1296-5p play a crucial role in breast cancer (BC), but the molecular mechanism is vague. Evidence showed that miR-1296-5p can activate tripartite motif-containing 14 (TRIM14). Clinical indications of eighty BC patients were collected and the circ_RPPH1 expression was detected using real-time quantitative PCR. MCF-7 and MDA-MB-231 cells were transfected with overexpression or knockdown of circ_RPPH1, miR-1296-5p, or TRIM14. Cell counting kit-8, cell cloning formation, wound healing, Transwell, and flow cytometry assays were performed to investigate the malignant phenotype of BC. The dual-luciferase reporter gene analyses were applied to reveal the interaction between these target genes. Subcutaneous tumorigenic model mice were established with circ_RPPH1 overexpression MDA-MB-231 cells in vivo; the tumor weight and volume, levels of miR-1296-5 and TRIM14 mRNA were measured. Western blot and immunohistochemistry were used to detect TRIM14 in cells and mice. Circ_RPPH1 levels were notably higher in BC patients and have been found to promote cell proliferation, invasion, and migration of BC cells. Circ_RPPH1 altered cell cycle and hindered apoptosis. Circ_RPPH1 knockdown or miR-1296-5p overexpression inhibited the malignant phenotype of BC. Furthermore, miR-1296-5p knockdown reversed circ_RPPH1's promotion effects on BC. Interestingly, TRIM14 overexpression counteracts the inhibitory effects of miR-1296-5p overexpression and circ_RPPH1 silencing on BC. Moreover, in BC tumor-bearing mice, circ_RPPH1 overexpression led to increased TRIM14 expression and facilitated tumor growth. Circ_RPPH1 enhanced BC progression through miR-1296-5p/TRIM14 axis, indicating its potential as a biomarker and therapeutic target in BC.

Advances in cell membrane-based biomimetic nanodelivery systems for natural products

Active components of natural products, which include paclitaxel, curcumin, gambogic acid, resveratrol, triptolide and celastrol, have promising anti-inflammatory, antitumor, anti-oxidant, and other pharmacological activities. However, their clinical application is limited due to low solubility, instability, low bioavailability, rapid metabolism, short half-life, and strong off-target toxicity. To overcome these drawbacks, cell membrane-based biomimetic nanosystems have emerged that avoid clearance by the immune system, enhance targeting, and prolong drug circulation, while also improving drug solubility and bioavailability, enhancing drug efficacy, and reducing side effects. This review summarizes recent advances in the preparation and coating of cell membrane-coated biomimetic nanosystems and in their applications to disease for targeted natural products delivery. Current challenges, limitations, and prospects in this field are also discussed, providing a research basis for the development of multifunctional biomimetic nanosystems for natural products.

The characteristics and prognostic significance of histone H1 expression in breast cancer

Histone H1 (H.H1) is involved in chromatin organisation and gene regulation and is overexpressed in many malignant tumours, including breast cancer (BC). This study proposed and evaluated the prognostic role of H.H1 expression in BC. H.H1 mRNA expression was evaluated in publicly available BC dataset bc-GenExMiner database (n=4421). H.H1 protein expression was assessed immunohistochemically in a well-characterised early-stage BC cohort (n=1311), and associations with clinicopathological data and survival outcomes were evaluated. At the mRNA level, there was a significant association between high H.H1 mRNA and basal-like BC subtype and with poor outcome. The association with shorter survival was observed in the whole cohort and in the basal-like class. H.H1 protein expression was detected in both tumour cells and surrounding stroma. Total expression was detected in 72% of the cases, including 28% in tumour cell nuclei and 44% in the stroma. There was strong association between high tumour H.H1 expression and triple-negative BC (TNBC) subtype (p=0.007) and with shorter survival (p=0.019), independent of other variables including tumour size, histologic tumour grade, and lymph node status. H.H1 expression is associated with poor prognosis in BC. Given poor prognostic role of H.H1 in TNBC, it may represent a potential therapeutic target for patients with this aggressive disease.

Glucocorticoid receptor-mediated oncogenic activity is dependent on breast cancer subtype

Breast cancer incidence has been steadily rising and is the leading cause of cancer death in women due to its high metastatic potential. Individual breast cancer subtypes are classified by both cell type of origin and receptor expression, namely estrogen, progesterone and human epidermal growth factor receptors (ER, PR and HER2). Recently, the importance and context-dependent role of glucocorticoid receptor (GR) expression in the natural history and prognosis of breast cancer subtypes have been uncovered. In ER-positive breast cancer, GR expression is associated with a better prognosis as a result of ER-GR crosstalk. GR appears to modulate ER-mediated gene expression resulting in decreased tumor cell proliferation and a more indolent cancer phenotype. In ER-negative breast cancer, including GR-positive triple-negative breast cancer (TNBC), GR expression enhances migration, chemotherapy resistance and cell survival. In invasive lobular carcinoma, GR function is relatively understudied, and more work is required to determine whether lobular subtypes behave similarly to their invasive ductal carcinoma counterparts. Importantly, understanding GR signaling in individual breast cancer subtypes has potential clinical implications because of the recent development of highly selective GR non-steroidal ligands, which represent a therapeutic approach for modulating GR activity systemically.

Patient journey and timeliness of care for patients with breast cancer in Africa: a scoping review protocol

INTRODUCTION

Cancer is the leading cause of death worldwide, with breast cancer being one of the most commonly diagnosed types. Low-income and middle-income countries account for nearly half of all breast cancer cases and related fatalities. In Africa, mortality rates are higher and survival rates are lower compared with developed countries. Timeliness of care is a critical aspect of healthcare, but various studies and healthcare systems use different criteria and methods to measure it. Assessing the breast cancer care pathway and understanding the determinants of delayed care are essential for effective interventions. Therefore, this scoping review aims to evaluate the methods used to measure the timeliness of breast cancer care, identify specific points in the care pathway where delays are most frequently reported, and examine the factors affecting the timeliness of breast cancer care in Africa.

METHODS AND ANALYSIS

We will conduct this scoping review using the Arksey and O'Malley framework endorsed by the Joanna Briggs Institute. A scoping review of articles written in English concerning the timeliness of breast cancer care in the African context will be undertaken. Six electronic databases (MEDLINE, EMBASE, CINAHL, SCOPUS, WEB Of SCIENCE and PsycINFO) will be searched to identify published literature on timeliness of breast care in Africa. Two reviewers will independently screen the articles at both the abstract and full-text stages, guided by predetermined inclusion and exclusion criteria. The full texts of identified studies will be further examined and charted using a data extraction form guided by the Model of Pathways to Treatment framework. Publications describing the time to diagnosis and its associated factors in the contexts of breast cancer will be considered for inclusion, with no restrictions based on date of publication. Studies that are published in languages other than English and that do not focus on the timeliness of care or time-related aspects within the care pathway will be excluded. Evidence will be narratively synthesised and analysed.

ETHICS AND DISSEMINATION

Ethical approval is not needed as this scoping review does not involve collecting data from human participants. The results produced from this review will be submitted to a scientific peer-reviewed journal for publication and will be presented at scientific meetings.

Effect of different exercise types on quality of life in patients with breast cancer: A network meta-analysis of randomized controlled trials

BACKGROUND

Exercise is a rehabilitation strategy for patients with breast cancer; however, the optimal type of exercise remains uncertain. This study aimed to compare the effects of five exercise types on the quality of life of patients with breast cancer and provide a basis for their exercise rehabilitation.

METHODS

As of May 2024, we searched four databases: Embase, PubMed, Web of Science, and Cochrane Library, and included randomized controlled trials that analyzed the effect of exercise on the quality of life of patients with breast cancer. A network meta-analysis was performed using a frequency-based framework.

RESULTS

Forty-five papers involving 4092 participants were included. The five types of exercises included were all significant in the direct comparison with the control group, except yoga and mind-body exercises. Aerobic, resistance, and combination exercises were associated with quality of life. However, in indirect comparisons, only mind-body exercise versus resistance exercise had a significant effect. The effect of exercise on the quality of life(total health status) of patients with breast cancer was ranked based on surface under the cumulative ranking curve (SUCRA) values combined with effect sizes as follows: aerobic exercise (SUCRA = 84.1) > combined exercise (SUCRA = 78.8) > resistance exercise (SUCRA = 66.4) > yoga (SUCRA = 39.3) > mind-body exercise (SUCRA = 27.2) > usual care (SUCRA = 4.1).

CONCLUSIONS

Exercise can rehabilitate the quality of life of patients with breast cancer, and aerobic exercise may be the best type of exercise to improve their quality of life(total health status).

Radiomics Nomogram Based on Dual-Sequence MRI for Assessing Ki-67 Expression in Breast Cancer

BACKGROUND

Radiomics has been extensively applied in predicting Ki-67 in breast cancer (BC). However, this is often confined to the exploration of a single sequence, without considering the varying sensitivity and specificity among different sequences.

PURPOSE

To develop a nomogram based on dual-sequence MRI derived radiomic features combined with clinical characteristics for assessing Ki-67 expression in BC.

STUDY TYPE

Retrospective.

POPULATION

227 females (average age, 51 years) with 233 lesions and pathologically confirmed BC, which were divided into the training set (n = 163) and test set (n = 70).

FIELD STRENGTH/SEQUENCE

3.0-T, T1-weighted dynamic contrast-enhanced MRI (DCE-MRI) and apparent diffusion coefficient (ADC) maps from diffusion-weighted MRI (EPI sequence).

ASSESSMENT

The regions of interest were manually delineated on ADC and DCE-MRI sequences. Three radiomics models of ADC, DCE-MRI, and dsMRI (combined ADC and DCE-MRI sequences) were constructed by logistic regression and the radiomics score (Radscore) of the best model was calculated. The correlation between Ki-67 expression and clinical characteristics such as receptor status, axillary lymph node (ALN) metastasis status, ADC value, and time signal intensity curve was analyzed, and the clinical model was established. The Radscore was combined with clinical predictors to construct a nomogram.

STATISTICAL TESTS

The independent sample t-test, Mann-Whitney U test, Chi-squared test, Interclass correlation coefficients (ICCs), single factor analysis, least absolute shrinkage and selection operator (LASSO), logistic regression, receiver operating characteristics, Delong test, Hosmer_Lemeshow test, calibration curve, decision curve. A P-value <0.05 was considered statistically significant.

RESULTS

In the test set, the prediction efficiency of the dsMRI model (AUC = 0.862) was higher than ADC model (AUC = 0.797) and DCE-MRI model (AUC = 0.755). With the inclusion of estrogen receptor (ER) and ALN metastasis, the nomogram displayed quality improvement (AUC = 0.876), which was superior to the clinical model (AUC = 0.787) and radiomics model.

DATA CONCLUSION

The nomogram based on dsMRI radiomic features and clinical characteristics may be able to assess Ki-67 expression in BC.

LEVEL OF EVIDENCE

3 TECHNICAL EFFICACY: Stage 3.

Assessment of the contribution of the ADC value to the Kaiser score in the differential diagnosis of breast lesions with non-mass enhancement morphology on MRI

PURPOSE

To investigate the effectiveness of diffusion-weighted imaging (DWI) as a supplementary tool to the Kaiser score (KS) in diagnosing breast cancer in non-mass enhancement (NME) lesions using breast magnetic resonance imaging (MRI).

METHODS

This single-center, retrospective study analyzed 360 cases with NME on MRI images. Two breast radiologists independently evaluated each lesion using the Kaiser score (KS) and apparent diffusion coefficient (ADC) values, without knowledge of the pathological outcomes. NME lesions with a KS above 4 and an ADC value below 1.3 × 10-3mm2/s were classified as malignant. Inter-rater reliability was determined using Cohen's Kappa (κ) statistics. The diagnostic performance of KS, DWI, and their combination was assessed by calculating sensitivity, specificity, and the area under the curve (AUC), and the results were compared across the benign and malignant groups.

RESULTS

The diagnostic performance of KS surpassed that of DWI in predicting the malignancy of NMEs (p = 0.003). The sensitivity of KS alone was 93 %; however, when ADC data was incorporated, the sensitivity decreased to 86 %, with no significant difference observed (p = 0.060). The specificity of the combined KS and ADC (94 %) was significantly higher than that of KS alone (89 %) and DWI alone (73 %) (p < 0.001).

CONCLUSION

Our findings indicated that although the combination of KS and ADC increased specificity and reduced unnecessary biopsies, the resulting decrease in sensitivity was unacceptable. Therefore, KS alone is superior to the KS-ADC combination in detecting malignancy in NME lesions.

Role of miRNA‑122 in cancer (Review)

MicroRNAs (miRNAs) are small non‑coding RNAs that serve key roles in cell proliferation, migration, invasion and apoptosis by regulating gene expression. In malignant tumors, miRNA‑122 serves either as a tumor suppressor or oncogene, influencing tumor progression via downstream gene targeting. However, the precise role of miRNA‑122 in cancer remains unclear. miRNA‑122 is a potential biomarker and modulator of radiotherapy and chemotherapy. The present review aimed to summarize the roles of miRNA‑122 in cancer, its potential as a biomarker for diagnosis and prognosis and its implications in cancer therapy, including radiotherapy and chemotherapy, alongside strategies for systemic delivery.

Alkaloid-based modulators of the PI3K/Akt/mTOR pathway for cancer therapy: Understandings from pharmacological point of view

This review aims to summarize the role of alkaloids as potential modulators of the PI3K/Akt/mTOR (PAMT) pathway in cancer therapy. The PAMT pathway plays a critical role in cell growth, survival, and metabolism, and its dysregulation contributes to cancer hallmarks. In healthy cells, this pathway is tightly controlled. However, this pathway is frequently dysregulated in cancers and becomes abnormally active. This can happen due to mutations in genes within the pathway itself or due to other factors. This chronic overactivity promotes cancer hallmarks such as uncontrolled cell division, resistance to cell death, and increased blood vessel formation to nourish the tumor. As a result, the PAMT pathway is a crucial therapeutic target for cancer. Researchers are developing drugs that specifically target different components of this pathway, aiming to turn it off and slow cancer progression. Alkaloids, a class of naturally occurring nitrogen-containing molecules found in plants, have emerged as potential therapeutic agents. These alkaloids can target different points within the PAMT pathway, inhibiting its activity and potentially resulting in cancer cell death or suppression of tumor growth. Research is ongoing to explore the role of various alkaloids in cancer treatment. Berberine reduces mTOR activity and increases apoptosis by targeting the PAMT pathway, inhibiting cancer cell proliferation. Lycorine inhibits Akt phosphorylation and mTOR activation, increasing pro-apoptotic protein production and decreasing cell viability. In glioblastoma models, harmine suppresses mTORC1. This review focuses on alkaloids such as evodiamine, hirsuteine, chaetocochin J, indole-3-carbinol, noscapine, berberine, piperlongumine, and so on, which have shown promise in targeting the PAMT pathway. Clinical studies evaluating alkaloids as part of cancer treatment are underway, and their potential impact on patient outcomes is being investigated. In summary, alkaloids represent a promising avenue for targeting the dysregulated PAMT pathway in cancer, and further research is warranted.

Docetaxel-induced severe neuropathy, a case of breast cancer with GTSP1 polymorphism

INTRODUCTION

Breast cancer, the most prevalent cancer among women, often requires chemotherapy with docetaxel being a key agent. However, docetaxel-inducted peripheral neuropathy (DIPN) can adversely impact patients' quality of life. This case discusses an unusual instance of severe DIPN leading to wheelchair dependence in a 35-years old woman undergoing neoadjuvant treatment for locally advanced breast cancer.

CASE

Following anthracycline and cyclophosphamide cycles without neurological symptoms, docetaxel administration resulted in progressive neuropathy. Despite dose reduction, the patient developed severe paraesthesias, foot weakness, and eventually wheelchair dependence.

MANAGEMENT AND OUTCOME

Docetaxel's microtubule-stabilizing mechanism, vital for cell division, may disrupt axonal structures, causing sensory and motor neuropathy. While rare, severe motor neuropathy, leading to wheelchair dependence, poses a significant challenge. The frequency of DIPN varies, with docetaxel exhibiting lower neuropathy rates than other taxanes. Risk factors include age, diabetes mellitus, cumulative dose, and genetic polymorphisms in GSTP1 and ABCB1. In our case, despite the patient being young, fit and without diabetes, severe DIPN occured, suggesting a potential genetic predisposition. Genetic variations, such as GSTP1 polymorphisms have been associated with DIPN. Our patient carried GSTP1 (I1e105Val) mutations, emphasizing the need for further research to establish their role as risk factors.

DISCUSSION

This case underscores the importance of recognizing severe DIPN, even in atypical patient profiles. Genetic factors, like GSTP1 polymorphisms, may contribute to DIPN risk. Large-scale studies are crucial to establishing the significance of these genetic variations in DIPN susceptibility.

Design, synthesis and biological evaluation of a novel PAK1 degrader for the treatment of triple negative breast cancer

Triple-negative breast cancer is one of the most malignant subtypes in clinical practice, and it is urgent to find new therapies. The p21-activated kinase I (PAK1) has been considered to be an attractive therapeutic target for TNBC. In this study, we designed and synthesized a series of novel PROTAC PAK1 degraders by conjugating VHL or CRBN ligase ligands to PAK1 inhibitors which are connected by alkyl chains or PEG chains. The most promising compound, 19s, can significantly degrade PAK1 protein at concentrations as low as 0.1 μM, and achieves potent anti-proliferative activity with an IC50 value of 1.27 μM in MDA-MB-231 cells. Additionally, 19s exhibits potent anti-migration activity in vitro and induces rapid tumor regression in vivo. Collectively, these findings document that 19s is a potent and novel PAK1 degrader with promising potential for TNBC treatment.

Fenamates: Forgotten treasure for cancer treatment and prevention: Mechanisms of action, structural modification, and bright future

Fenamates as classical nonsteroidal anti-inflammatory agents are widely used for relieving pain. Preclinical studies and epidemiological data highlight their chemo-preventive and chemotherapeutic potential for cancer. However, comprehensive reviews of fenamates in cancer are limited. To accelerate the repurposing of fenamates, this review summarizes the results of fenamates alone or in combination with existing chemotherapeutic agents. This paper also explores targets of fenamates in cancer therapy, including COX, AKR family, AR, gap junction, FTO, TEAD, DHODH, TAS2R14, ion channels, and DNA. Besides, this paper discusses other mechanisms, such as regulating Wnt/β-catenin, TGF-β, p38 MAPK, and NF-κB pathway, and the regulation of the expressions of Sp, EGR-1, NAG-1, ATF-3, ErbB2, AR, as well as the modulation of the tumor immune microenvironment. Furthermore, this paper outlined the structural modifications of fenamates, highlighting their potential as promising leads for anticancer drugs.

Artemisinin and Its Derivatives as Potential Anticancer Agents

Artemisinin is a natural sesquiterpene lactone obtained from the traditional Chinese medicinal herb Artemisia annua L. (qinghao). Artemisinin and its derivatives share an unusual endoperoxide bridge and are extensively used for malaria treatment worldwide. In addition to antimalarial activities, artemisinin and its derivatives have been reported to exhibit promising anticancer effects in recent decades. In this review, we focused on the research progress of artemisinin and its derivatives with potential anticancer activities. The pharmacological effects, potential mechanisms, and clinical trials in cancer therapy of artemisinin and its derivatives were discussed. This review may facilitate the future exploration of artemisinin and its derivatives as effective anticancer agents.

Resistin and omentin in breast cancer: A systematic review and meta-analysis

Breast cancer (BC) is the most frequently diagnosed cancer and a leading cause of cancer-related mortality among women globally. Resistin, omentin and ghrelin, adipokines involved in inflammation and metabolic regulation, have been implicated in cancer development, yet their associations with BC remain unclear. This systematic review and meta-analysis aimed to elucidate the relationships between resistin, omentin, and ghrelin concentrations and BC, while exploring potential moderators such as body mass index (BMI) and menopausal status. A comprehensive search of electronic databases up to 13 May 2024 identified studies comparing resistin and omentin, but not ghrelin, concentrations in BC patients and healthy controls. Standardized mean differences (SMDs) were calculated using random-effects models, and meta-regression and subgroup analyses were performed to investigate sources of heterogeneity. Analysis of 11 studies showed that BC patients exhibited significantly higher resistin concentrations compared to controls, with a pooled SMD of 2.05 (95 % CI 1.24 to 2.86, p < 0.001). Meta-regression indicated that BMI significantly moderated the resistin-BC association (p = 0.003). In contrast, omentin concentrations presented a complex picture, with a pooled SMD of -0.27 (95 % CI -1.39 to 0.84, I^2 = 96.2 %, p < 0.001), indicating substantial heterogeneity and inconclusive results, whereas only one study investigated ghrelin. Our findings support a significant association between elevated resistin concentrations and BC, suggesting a potential role of resistin in BC pathophysiology. The data on omentin and ghrelin remain inconclusive, warranting further investigation. Future research should focus on large, longitudinal studies with standardized methodologies to validate these findings and clarify the role of adipokines in BC.

Oligandrin from Croton oligandrus (Euphorbiaceae) exhibits anti-breast cancer activity through immune-boosting mechanisms: In vitro and in vivo study

Aim

Recent developments in cancer research indicate that cancer is a manifestation of immune system dysfunction. Many natural anticancer agents developed recently possess immune-modulatory properties. In our ongoing pursuit of anticancer alternatives, we evaluated the immune-modulatory potential of oligandrin, an ent-pimarane type diterpenoid from Croton oligatrus.

Methods

we assessed on Breast cancer patients' peripheral blood mononuclear cells (PBMCs) were isolated to assess the effect of oligandrin (0.5, 1, 10, 100, 200 mg/mL) in vitro using the Ficoll-histopaque density centrifugation method. The parameters that were assessed included, PBMC viability and cytokine (IL-6, IL-12, IL-10, EGF, TNF-α, INF-γ) production. In vivo, we chemically induced breast cancer using DMBA (50 mg/kg BW) in Wistar rats, then treated them with oligandrin (1 mg/kg BW) or standards (tamoxifen 3.3 mg/kg; letrozole 1 mg/kg) for 20 weeks. The parameters that were evaluated included, tumor burden, volume, incidence, histopathology, antioxidant, and inflammatory status.

Results

Oligandrin (1, 10, 100 and 200 μg/mL) significantly increased (p < 0.05) PBMC cell number 24 h after incubation. In vivo, it induced 62.5 % tumor incidence reduction compared to DMBA rats (100 %). Oligandrin significantly protected (p < 0.001) rats against increased tumor burden, mass and volume, which was accompanied by a significant antioxidant effect [increment of GSH (p < 0.01) and SOD (p < 0.001)]. Oligandrin prevented high-grade adenocarcinomas according to SBR stratification and significantly reduced pro-inflammatory cytokine levels (IL-6, IL-12) while increasing anti-inflammatory cytokine levels (INF-γ).

Conclusion

Oligandrin is reported for the first time to protect against breast cancer onset and this effect seems to be at least in part attributable to its immune-boosting capacity.

MiR-338-5p, a novel metastasis-related miRNA, inhibits triple-negative breast cancer progression by targeting the ETS1/NOTCH1 axis

Breast cancer ranks as the most prevalent cancer globally, surpassing lung cancer, with recurrence/metastasis to be its main account for the cancer-related mortality. MicroRNAs (miRNAs) participate critically in various physiological and pathological processes through posttranscriptional regulation of downstream genes. Our preliminary findings identified miR-338-5p, potentially linked to metastasis in breast cancer, a previously unexplored area. Analysis of the GSE38867 dataset revealed the decreased miR-338-5p expression in metastatic breast cancer compared to normal tissues. Cellular function experiments and a xenograft tumor model demonstrated the inhibitory function of miR-338-5p on the progression of breast cancer in vitro and in vivo. Furthermore, it downregulated the expression of mesenchymal biomarkers and NOTCH1 significantly. With the predicting targets of miR-338-5p and transcription factors of the NOTCH1 gene, coupled with dual luciferase reporter assays, it is identified ETS1 as the interactor between miR-338-5p and NOTCH1. In breast cancer tissues, as well as in our xenograft tumor model, expression of ETS1 and NOTCH1 was positively correlated using immunohistochemical staining. This study reports, for the first time, on the miR-338-5p/ETS1/NOTCH1 axis and its pivotal role in breast cancer proliferation and metastasis. These findings propose a novel therapeutic strategy for breast cancer patients and lays a foundation for its clinical detection and treatment evaluation.

Developing an innovative 3D printing platform for production of personalised medicines in a hospital for the OPERA clinical trial

Breast cancer is the most frequently diagnosed cancer in women worldwide, and non-adherence to adjuvant hormonotherapy can negatively impact cancer recurrence and relapse. Non-adherence is associated with side effects of hormonotherapy. Pharmacological strategies to mitigate the side effects include coadministration of antidepressants, however patients remain non-adherent. The aim of this work was to develop medicines containing both hormonotherapy, tamoxifen (20 mg), along with anti-depressants, either venlafaxine (37.5 or 75 mg) or duloxetine (30 or 60 mg), to assess the acceptability and efficacy of this personalised approach for mitigating tamoxifen side effects in a clinical trial. A major criterion for the developed medicines was the production rate, specified at minimum 200 dosage units per hour to produce more than 40,000 units required for the clinical trial. A novel capsule filling approach enabled by the pharmaceutical 3D printer M3DIMAKER 2 was developed for this purpose. Firstly, semi-solid extrusion 3D printing enabled the filling of tamoxifen pharma-ink prepared according to French compounding regulation, followed by filling of commercial venlafaxine or duloxetine pellets enabled by the development of an innovative pellet dispensing printhead. The medicines were successfully developed and produced in the clinical pharmacy department of the cancer hospital Gustave Roussy, located in Paris, France. The developed medicines satisfied quality and production rate requirements and were stable for storage up to one year to cover the duration of the trial. This work demonstrates the feasibility of developing and producing combined tamoxifen medicines in a hospital setting through a pharmaceutical 3D printer to enable a clinical trial with a high medicines production rate requirement.

Lipocalin-2 promotes breast cancer brain metastasis by enhancing tumor invasion and modulating brain microenvironment

Breast cancer is the leading cancer diagnosed in women globally, with brain metastasis emerging as a major cause of death, particularly in human epidermal growth factor receptor 2 positive and triple-negative breast cancer subtypes. Comprehensive understanding of the molecular foundations of central nervous system metastases is imperative for the evolution of efficacious treatment strategies. Lipocalin-2 (LCN2), a secreted iron transport protein with multiple functions, has been linked to the progression of breast cancer brain metastasis (BCBM). In primary tumors, LCN2 promotes the proliferation and angiogenesis of breast cancer cells, triggers the epithelial-mesenchymal transition, interacts with matrix metalloproteinase-9, thereby facilitating the reorganization of the extracellular matrix and enhancing cancer cell invasion and migration. In brain microenvironment, LCN2 undermines the blood-brain barrier and facilitates tumor seeding in the brain by modulating the behavior of key cellular components. In summary, this review meticulously examines the fuel role of LCN2 in BCBM cascade, and investigates the potential mechanisms involved. It highlights the potential of LCN2 as both a therapeutic target and biomarker, indicating that interventions targeting LCN2 may offer improved outcomes for patients afflicted with BCBM.

An Immune-Enhancing Injectable Hydrogel Loaded with Esketamine and DDP Promotes Painless Immunochemotherapy to Inhibit Breast Cancer Growth

Chemotherapy is the cornerstone of triple-negative breast cancer. The poor effectiveness and severe neuropathic pain caused by it have a significant impact on the immune system. Studies confirmed that immune cells in the tumor microenvironment (TME), have critical roles in tumor immune regulation and prognosis. In this study, it is revealed that the painless administration of Esketamine, combined with Cisplatin (DDP), can exert an anti-tumor effect, which is further boosted by the hydrogel delivery system. It is also discovered that Esketamine combined with DDP co-loaded in Poloxamer Hydrogel (PDEH) induces local immunity by increasing mature Dendritic Cells (mDCs) and activated T cells in PDEH group while the regulatory T cells (Tregs) known as CD4+CD25+FoxP3+decreased significantly. Finally, , CD8+ and CD4+ T cells in the spleen exhibited a significant increase, suggesting a lasting immune impact of PDEH. This study proposes that Esketamine can serve as a painless immune modulator, enhancing an anti-tumor effect while co-loaded in poloxamer hydrogel with DDP. Along with improving immune cells in the microenvironment, it can potentially alleviate anxiety and depression. With its outstanding bio-safety profile, it offers promising new possibilities for painless clinical therapy.

Novel curcumin derivatives N17 exert anti-cancer effects through the CSNK1G3/AKT axis in triple-negative breast cancer

Curcumin, extracted from Zingiberaceae and Araceae rhizomes, is clinically used for its anti-inflammatory, antibacterial, antioxidant, and anti-cancer properties. Its safety and potential make it a promising base for designing enhanced derivatives. The focus now is on optimizing curcumin and synthesizing more potent 1,4-pentadien-3-ones, which have anti-cancer activities. In the realm of triple-negative breast cancer (TNBC), an aggressive and invasive form with high metastatic potential, the need for innovative treatments is acute. The challenges posed by chemotherapy resistance, recurrence, and TNBC's heterogeneity have emphasized the necessity for novel therapeutic approaches. Our strategy involved the integration of a quinoxaline ring into 1,4-pentadien-3-one, followed by subsequent modifications. In this study, N17 demonstrated the ability to induce cell death and effectively suppress cell proliferation in breast cancer cells. These observed anti-cancer effects were attributed to the inhibition of p-AKT(S473), a key regulator implicated in both cell apoptosis and the modulation of epithelial-mesenchymal transition process in breast cancer cells. Furthermore, our investigation indicated N17 achieves its inhibitory effects on p-AKT(S473) by specifically targeting the CSNK1G3 protein. Remarkably, N17 not only impedes the EMT process but also triggers apoptosis through the CSNK1G3/AKT signaling axis. These findings provide the critical role of CSNK1G3 as an anti-cancer regulator in TNBC, establishing N17 as a pharmacological intervention with immense promise for treating cancer metastasis.

Automated system utilizing non-invasive technique mammograms for breast cancer detection

In order to increase the likelihood of obtaining treatment and achieving a complete recovery, early illness identification and diagnosis are crucial. Artificial intelligence is helpful with this process by allowing us to rapidly start the necessary protocol for treatment in the early stages of disease development. Artificial intelligence is a major contributor to the improvement of medical treatment for patients. In order to prevent and foresee this problem on the individual, family, and generational levels, Monitoring the patient's therapy and recovery is crucial. This study's objective is to outline a non-invasive method for using mammograms to detect breast abnormalities, classify breast disorders, and identify cancerous or benign tumor tissue in the breast. We used classification models on a dataset that has been pre-processed so that the number of samples is balanced, unlike previous work on the same dataset. Identifying cancerous or benign breast tissue requires the use of supervised learning techniques and algorithms, such as random forest (RF) and decision tree (DT) classifiers, to examine up to thirty features, such as breast size, mass, diameter, circumference, and the nature of the tumor (solid or cystic). To ascertain if the tissue is malignant or benign, the examination's findings are employed. These features are mostly what determines how effectively anything may be categorized. The DT classifier was able to get a score of 95.32%, while the RF satisfied a far higher 98.83 percent.

Correlations of Imaging and Therapy in Breast Cancer Based on Molecular Patterns: An Important Issue in the Diagnosis of Breast Cancer

Breast cancer is a global health issue affecting countries worldwide, imposing a significant economic burden due to expensive treatments and medical procedures, given the increasing incidence. In this review, our focus is on exploring the distinct imaging features of known molecular subtypes of breast cancer, underlining correlations observed in clinical practice and reported in recent studies. The imaging investigations used for assessment include screening modalities such as mammography and ultrasonography, as well as more complex investigations like MRI, which offers high sensitivity for loco-regional evaluation, and PET, which determines tumor metabolic activity using radioactive tracers. The purpose of this review is to provide a better understanding as well as a revision of the imaging differences exhibited by the molecular subtypes and histopathological types of breast cancer.

DCTPP1 Expression as a Predictor of Chemotherapy Response in Luminal A Breast Cancer Patients

Breast cancer (BRCA) remains a significant global health challenge due to its prevalence and lethality, exacerbated by the development of resistance to conventional therapies. Therefore, understanding the molecular mechanisms underpinning chemoresistance is crucial for improving therapeutic outcomes. Human deoxycytidine triphosphate pyrophosphatase 1 (DCTPP1) has emerged as a key player in various cancers, including BRCA. DCTPP1, involved in nucleotide metabolism and maintenance of genomic stability, has been linked to cancer cell proliferation, survival, and drug resistance. This study evaluates the role of DCTPP1 in BRCA prognosis and chemotherapy response. Data from the Cancer Genome Atlas Program (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) repositories, analyzed using GEPIA and Kaplan-Meier Plotter, indicate that high DCTPP1 expression correlates with poorer overall survival and increased resistance to chemotherapy in BRCA patients. Further analysis reveals that DCTPP1 gene expression is up-regulated in non-responders to chemotherapy, particularly in estrogen receptor (ER)-positive, luminal A subtype patients, with significant predictive power. Additionally, in vitro studies show that DCTPP1 gene expression increases in response to 5-fluorouracil and doxorubicin treatments in luminal A BRCA cell lines, suggesting a hypothetical role in chemoresistance. These findings highlight DCTPP1 as a potential biomarker for predicting chemotherapy response and as a therapeutic target to enhance chemotherapy efficacy in BRCA patients.

A Neural Network-Based Scoring System for Predicting Prognosis and Therapy in Breast Cancer

Breast cancer is a prevalent malignancy affecting women worldwide. Currently, there are no precise molecular biomarkers with immense potential for accurately predicting breast cancer development, which limits clinical management options. Recent evidence has highlighted the importance of metastatic and tumor-infiltrating immune cells in modulating the antitumor therapy response. However, the prognostic value of using these features in combination, and their potential for guiding individualized treatment for breast cancer, remains vague. To address this challenge, we recently developed the metastatic and immunogenomic risk score (MIRS), a comprehensive and user-friendly scoring system that leverages advanced bioinformatics methods to facilitate transcriptomics data analysis. To help users become familiar with the MIRS tool and apply it effectively in analyzing new breast cancer datasets, we describe detailed protocols that require no advanced programming skills. © 2024 Wiley Periodicals LLC. Basic Protocol 1: Calculating a MIRS score from transcriptomics data Basic Protocol 2: Predicting clinical outcomes from MIRS scores Basic Protocol 3: Evaluating treatment responses and guiding therapeutic strategies in breast cancer patients Basic Protocol 4: Guidelines for utilizing the MIRS webtool.

Risk of Bleeding Versus Venous Thromboembolism After Surgery for Breast Cancer: A National Surgical Quality Improvement Program Analysis

INTRODUCTION

Patients who undergo surgery for breast cancer are at risk for venous thromboembolism (VTE) and bleeding, which can lead to significant consequences on outcomes. This study examined factors related to VTE and bleeding risk in breast cancer surgery, with and without reconstruction. We also investigated the relationship between operative time and resident involvement on bleeding and VTE risk.

METHODS

Using the ACS-NSQIP database, patients who underwent mastectomy, implant, pedicled, or free flap reconstruction from 2005 to 2021 were identified. Resident involvement was available from 2007 to 2010. We fitted two logistic regressions to model the log odds of bleeding occurrence and VTE as linear functions of procedure type, controlling for age, body mass index, and comorbidities.

RESULTS

Implant reconstruction had significantly reduced 30-d incidence of bleeding, compared to those who underwent transverse rectus abdominus muscle flap (P < 0.001). Free flap was associated with a significant increase in bleeding but not VTE risk (P < 0.001; P = 0.132). Increase in operative time significantly increased the risk of bleeding and VTE (P < 0.001). For surgeries with resident involvement coded, there was no significantly increased risk of bleeding or VTE (P = 0.600; P = 0.766).

CONCLUSIONS

Implant reconstruction remains the procedure with the lowest risk of both bleeding and VTE. Free flap reconstruction did not show a significantly increased risk of VTE, potentially expanding reconstruction options for patients previously excluded from autologous reconstruction. Surgeons should be mindful of operative time, with re-evaluation of risk factors with each additional hour of surgery, irrespective of reconstruction type. Resident involvement in surgeries should continue to be encouraged by faculty.

Chemotherapy for post-menopausal women with early breast cancer seems not to result in clinically significant changes in thyroid function

OBJECTIVE

Adjuvant chemotherapy is often indicated in patients diagnosed with early breast cancer (EBC). Among others, weight gain is one of the observed side effects of both chemotherapy and other cancer treatments; however, the mechanism is not well-described. In this study, we aimed to assess thyroid function before and shortly after the course of chemotherapy for EBC.

METHODS

This is a prospective cohort study of women diagnosed with EBC. The main outcome was the thyroid function and body weight before and after completing chemotherapy. Secondary outcomes were the presence of thyroid autoantibodies and treatment radiation dosage. We included 72 patients treated with adjuvant chemotherapy, whereas 59 patients also received supraclavicular locoregional radiotherapy. Triple-negative breast cancer (BC) patients receiving chemoimmunotherapy were excluded.

RESULTS

After the chemotherapy, we observed an increase in thyroid-stimulating hormone (p = 0.03) and a decrease in free-thyroxine (p = 0.0006), with no significant weight change. The prevalence of autoimmune thyroiditis was low. On average 3 months post-chemo, we found no statistically significant difference in the thyroid function of women treated versus not treated with supraclavicular locoregional radiotherapy.

CONCLUSIONS

Although statistically significant changes in thyroid hormones were observed, this study suggests no obvious clinically significant changes in thyroid function in women with early BC after the course of chemotherapy. The decrease in thyroid function was not related to autoimmunity, non-thyroidal illness, radiotherapy, or high-dose corticosteroids. Further studies with a longer follow-up of thyroid function after adjuvant chemotherapy and supraclavicular locoregional radiotherapy are needed.

The FGFR2 Variant rs13387042 is Associated With Breast Cancer Risk: A Meta-Analysis and Systematic Review

OBJECTIVE

The association of FGFR2-rs13387042 polymorphism with breast cancer (BC) susceptibility in women remains inconclusive due to varying reports. In this study, we conducted a meta-analysis to explore the relationship between FGFR2-rs13387042 polymorphism and susceptibility to BC.

METHODS

Relevant literature were acquired through searches across multiple databases. Odds ratio (OR) values were pooled to assess the risk of BC for different alleles and genotypes. The heterogeneity among the included literature was evaluated. Sensitivity analysis was used to verify the stability of the results. Egger's linear regression test was used to assess the significance of publication bias of the included literature.

RESULTS

A total of 17 publications were included, encompassing 122,607 cases and 175,966 controls. There was significantly increased risk of BC for allele A compared with G (OR = 1.15, 95% CI = 1.14-1.67, P < .001), genotype AA compared with GG (OR = 1.34, 95% CI = 1.29-1.38, P < .001), and genotype GA compared with GG (OR = 1.19, 95% CI = 1.12-1.26, P < .001). Both Egger's test and funnel plot indicated the presence of publication bias. After adjusting potential publication bias by the trim-and-fill method, the comparison of allele A versus G (OR = 1.15, 95% CI = 1.13-1.17, P < .001), genotype AA versus GG (OR = 1.32, 95% CI = 1.28-1.37, P < .001), and genotype GA versus GG (OR = 1.15, 95% CI = 1.09-1.22, P < .001) remained statistically significant. In various subgroups, the allele A showed significantly higher risk of BC upon allele G in estrogen receptor (ER) positive BC, ER negative BC, progesterone receptor (PR) positive BC, PR negative BC, triple-negative BC, pathological grade I BC, grade II BC, and grade III breast cancer. The subsequent sensitivity analysis suggested the above findings stable and reliable.

CONCLUSION

In this study, we found that the allele A of the FGFR2-rs13387042 polymorphism is associated with increased risk of developing breast cancer. This study underscores its potential as a genetic marker for personalized risk assessment and targeted interventions.

Exosomal lncRNAs as regulators of breast cancer chemoresistance and metastasis and their potential use as biomarkers

Breast cancer is the most common cancer in women and the leading cause of female deaths by cancer in the world worldwide. Hence, understanding the molecular mechanisms associated with breast cancer development and progression, including drug resistance and breast cancer metastasis, is essential for achieving the best management of breast cancer patients. Cancer-related long noncoding RNAs have been shown to be involved in the regulation of each stage of breast cancer progression. Additionally, exosomes are extracellular microvesicles that are central to intercellular communication and play an important role in tumorigenesis. Exosomes can be released from primary tumor cells into the bloodstream and transmit cellular signals to distant body sites. In this work, we review the findings regarding the cellular mechanisms regulated by exosomal lncRNAs that are essentials to chemoresistance development and metastasis of breast cancer. Likewise, we evaluate the outcomes of the potential clinical use of exosomal lncRNAs as breast cancer biomarkers to achieve personalized management of the patients. This finding highlights the importance of transcriptomic analysis of exosomal lncRNAs to understand the breast cancer tumorigenesis as well as to improve the clinical tests available for this disease.

Evaluating the Effect of MarginProbe® Use on Re-excisions After Partial Mastectomy: A Single-Institution Analysis

BACKGROUND

Breast conservation therapy is a widely accepted approach in treating breast cancer, yet the average re-excision rates are approximately 25% despite surgical advancements. The Food and Drug Administration (FDA)-approved MarginProbe® device uses radiofrequency spectroscopy for intraoperative margin assessment, potentially reducing re-excision rates. This study evaluated the effectiveness of MarginProbe® in reducing re-excisions compared with standard of care (SOC).

METHODS

A prospective cohort with MarginProbe® usage during partial mastectomies from June 2019 to July 2023 (153 patients) was compared with a retrospective control group without the device from January 2015 to May 2019 (300 patients). Both groups underwent partial mastectomies performed by two breast surgeons. Positive margins were defined as tumor on ink for invasive cancers and within 2 mm for ductal carcinoma in situ.

RESULTS

When control was used for patient demographics and tumor characteristics, the findings showed that MarginProbe® significantly decreased the probability of re-excision by 58% (p < 0.001), although it led to a higher shave volume, with an average of 9.8 cc additional tissue removed compared with SOC (p < 0.001). Human epidermal growth factor 2 (HER2) positivity was significantly associated with increased odds of re-excision (p = 0.036). MarginProbe® demonstrated a sensitivity of 70.1% and a specificity of 47.5%.

CONCLUSIONS

MarginProbe® is an effective adjunct for intraoperative margin assessment to decrease re-excision rates. However, patient selection is paramount. Given its significant increase in shave volume, women with small breasts may be at higher risk for poor cosmesis. Surgeons should exercise clinical judgement when determining the suitability of MarginProbe® use for patients undergoing breast conservation. Further research is necessary to refine MarginProbe®'s specificity and to optimize its clinical application.

A comprehensive study of adverse effects of chemotherapy on female breast cancer patients in NORI Cancer Hospital, Islamabad in a developing country

INTRODUCTION

Breast cancer is one of the top three malignancies worldwide. While radiotherapy, hormone replacement therapys, and chemotherapy are treatments, chemotherapy causes adverse effects that hinder daily life activities.

OBJECTIVES

To assess the prevalence, severity, and association of symptomatic toxicities in female breast cancer patients affecting various organ systems post systemic chemotherapy (adjuvant and neoadjuvant), and their impact on daily activities. Additionally, to determine the severity of adverse effects in specific age groups and their association with family history and disease stage.

METHODOLOGY

An observational study was conducted on 253 female breast cancer patients receiving chemotherapy at NORI Cancer Hospital from May to October 2023. Data collection tools included the NCI-PRO-CTCAE standardized questionnaire and patient medical records. Analysis was performed using descriptive statistics, T-tests, and Chi-square tests.

RESULTS

Among the 253 patients, 41.4% were aged 41-50. Significant weight changes (p = 0.034) were observed with more than three chemotherapy cycles. Notable associations included increased chemotherapy cycles with gastrointestinal (mouth/throat sores p = 0.031, vomiting p = 0.021), respiratory (cough p = 0.04), cardiovascular (arm/leg swelling p = 0.007, palpitations p = 0.052), integumentary (hair loss p = 0.000, skin dryness p = 0.054), and musculoskeletal (fatigue p = 0.002) adverse effects. Positive family history and the 18-30 age group also showed significant associations with adverse effect severity. Disease stage significantly influenced the nervous system (stage 2 p = 0.007, stage 3 p = 0.01).

CONCLUSION

The severity of adverse effects varies among age groups, depending on disease stage, genetics, and treatment duration. These patient-reported outcomes highlight the need for better management strategies considering prognostic factors and treatment adverse effects.

Sleep traits and breast cancer risk: a two-sample Mendelian randomization study

Globally, breast cancer continues to be the leading cause of cancer-related incidence and mortality among females. Research has shown that sleep patterns significantly influence tumor onset and progression. In this research, the association was examined through the application of a two-sample Mendelian randomization (MR) approach. For the analysis of seven sleep patterns, genetic tools were sourced from both the UK Biobank and 23andMe, including morning/evening person (chronotype) n = 177,604, morning person (chronotype) n = 248,094, daytime dozing/sleepiness n = 193,472, getting up in the morning n = 193,717, and sleeplessness n = 193,987; sleep duration n = 192,810; and nap during the day n = 166,853. The Breast Cancer Association Consortium (BCAC) supplied genome-wide association studies (GWAS) data, including 133,384 breast cancer cases and 113,789 controls, alongside subtype-specific data with 106,278 cases and 91,477 controls. We discovered that chronotype encompasses both morning and evening types contributes to the risk of overall breast cancer. While daytime dozing and morning person (chronotype) are linked to a lower risk of breast cancer in general, In subtype-specific analyses, morning person (chronotype) was negatively associated with luminal B, HER2-negative-like, and daytime dozing was negatively correlated with luminal A-like, luminal B-like, and HER2-enriched-like. The study corroborates that chronotype is a danger element for breast cancer, aligning with previous observational findings. The association between being a morning person (chronotype) or having daytime dozing and a decreased risk of breast cancer underscores the significance of sleep patterns in formulating strategies for cancer prevention.

Breast Cancer Screening among African Immigrants in the United States: An Integrative Review of Barriers, Facilitators, and Interventions

The purpose of this review was to synthesize the available literature on breast cancer-screening barriers, facilitators, and interventions among U.S. African immigrants. Following the integrative review framework and PRISMA guidelines for reporting systemic reviews, five electronic databases were searched: PubMed, CINAHL, PsycINFO, Medline, and Google Scholar. Studies were included if they were published in English language journals after 1 January 2000 and reported data on breast cancer-screening barriers, facilitators, or interventions among U.S. African immigrants. Barriers and facilitators reported by studies were descriptively examined and synthesized by two authors and classified as aligning with one of the three levels of influences based on the social-ecological model (intrapersonal, interpersonal, and community). Interventions promoting breast cancer screening were narratively summarized. Search procedures retrieved 1011 articles, with 12 meeting the criteria for inclusion in the review (6 qualitative and 6 quantitative). Intrapersonal barriers included limited awareness, fear of pain, language barriers, health concerns, transportation issues, costs, and negative past experiences. Interpersonal barriers involved modesty, spiritual beliefs, and lack of support, while community-level barriers included provider and healthcare-system challenges. Regarding facilitators, past screening experiences and health insurance were the most commonly reported intrapersonal facilitators. The only interpersonal facilitator identified was observing other women experience a breast cancer diagnosis and undergo treatment. Community-level facilitators included appointment reminders, scheduling assistance, culturally congruent interpreters, transportation to screening facilities, and patient navigators. Three articles reported outcomes of breast cancer-screening interventions. All three were pilot studies and reported increased knowledge and attitudes regarding breast cancer screening following the respective interventions. One study examined the uptake of breast cancer screening following the intervention, with results indicating an increase in screening. Findings provide a comprehensive synthesis of factors influencing breast cancer screening among African immigrants and highlight the need for future research on the topic. This review was registered with Prospero (CRD42024502826) before the initiation of search procedures.

Cynaropicrin, a sesquiterpene lactone, triggers apoptotic cell death in triple negative breast cancer cells

BACKGROUND

Breast cancer is the most common cancer in the world. Cynaropicrin is a natural sesquiterpene lactone with potential anticancer effects. The present study was conducted to evaluate the effect of cynaropicrin on proliferation and apoptosis in breast cancer cells.

METHODS

MDA-MB-231 and MCF-7 cell lines were treated with increasing concentrations of cynaropicrin. The viability of both cell lines was measured using MTT assay. Flowcytometry was used to detect apoptotic cells. The expression levels of apoptosis-related genes were determined using quantitative polymerase chain reaction. The protein expression of apoptosis markers was determined by western blotting.

RESULTS

Cynaropicrin significantly diminished the proliferation of MDA-MB-231 and MCF-7 cell lines in a dose-dependent manner. Flowcytometry data uncovered that cynaropicrin augmented early and late apoptosis in MDA-MB-231 cells. Real time-PCR and western blotting results also confirmed the upregulation of pro-apoptotic Bax, caspase-3, -8, and 9 as well as downregulated level of anti-apoptotic marker Bcl-2. Cynaropicrin also remarkably increased the activity of caspase-3, -8, and 9 in MDA-MB-231 cells. However, cynaropicrin neither promoted apoptosis in MCF-7 cells nor altered the expression levels and activity of above mentioned apoptotic markers.

CONCLUSION

The present data indicated anti-proliferative properties of cynaropicrin against breast cancer and highlighted apoptosis-inducing effects of this sesquiterpene on triple negative breast cancer (TNBC) cells. These data may suggest cynaropicrin as a potential anti-TNBC agent to tackle therapy resistance in this type of breast cancer.

Bioinformatics analysis of the role of lysosome-related genes in breast cancer

This study aimed to investigate the roles of lysosome-related genes in BC prognosis and immunity. Transcriptome data from TCGA and MSigDB, along with lysosome-related gene sets, underwent NMF cluster analysis, resulting in two subtypes. Using lasso regression and univariate/multivariate Cox regression analysis, an 11-gene signature was successfully identified and verified. High- and low-risk populations were dominated by HR+ sample types. There were differences in pathway enrichment, immune cell infiltration, and immune scores. Sensitive drugs targeting model genes were screened using GDSC and CCLE. This study constructed a reliable prognostic model with lysosome-related genes, providing valuable insights for BC clinical immunotherapy.

A two-tool assessment of the quality of life of patients with breast cancer using generic and disease-specific tools in a Nigerian teaching hospital

Assessing the quality of life (QoL) of breast cancer (BC) patients using a triangulation of tools is crucial for understanding their well-being and tailoring specific interventions to improve their overall experience. The study assessed the QoL of BC patients using a combination of generic and disease-specific validated questionnaires. The study utilized a self-administered questionnaire-based cross-sectional design among BC patients attending the Oncology clinic in a Nigerian teaching hospital. The 23-item EORTC-BR23 questionnaire and the 15-item HRQoL 15D questionnaire were provided to consenting eligible respondents for data collection. Descriptive (e.g., frequency, percentages, mean, median, etc.) and inferential (T-test and one-way ANOVA) statistical analyses were conducted on the cleaned data, with significant p values set at less than 0.05. A total of 60 female BC patients participated in the study. Respondents that were aged 41-50 years and 50-60 years were 20 (33.3%) and 19 (31.7%) respectively. Patients who were diagnosed with BC one year ago before the study were 22 (39.3%) with 51 (85%) reporting no positive family history of BC. Patients who had undergone surgery, radiotherapy, hormonal therapy, and chemotherapy were 52 (86.7%), 27 (45.0%), 14 (24.1%), and 54 (90%) respectively. The patients scored 30.00 ± 4.67% and 72.36 ± 2.93% for future perspective and body image, respectively, in the functional scales of the EORTC-BR23 with a maximum possible score of 100%. On the symptom scale, they scored 47.46 ± 2.52% and 63.40 ± 5.03% for side effects of therapy and being upset about hair loss, respectively. The patients' quality of life utility score in the 15-D tool was 0.79 ± 0.02. With p values less than 0.005, age, time since diagnosis, and cancer stage were influential determinants of patients' QoL. The QoL of the participants based on the HRQoL-15D was determined to be high. For the EORTC-BR23, respondents reported high quality of life for body image and sexual function but low quality of life for both sexual enjoyment and future perspective in terms of the functional scale. The symptom scale of EORTC-BR23 showed high symptoms for only the domain of upset by hair loss resulting in low QoL. Socio-demographic factor that affects the QoL of BC patients were age, number of years since diagnosis and stage of BC.

Role of the P2X7 receptor in breast cancer progression

Breast cancer is a common malignant tumor, whose incidence is increasing year by year, and it has become the malignant tumor with the highest incidence rate in women. Purine ligand-gated ion channel 7 receptor (P2X7R) is a cation channel receptor with Adenosine triphosphate ( ATP) as a ligand, which is widely distributed in cells and tissues, and is closely related to tumorigenesis and progression. P2X7R plays an important role in cancer by interacting with ATP. Studies have shown that P2X7R is up-regulated in breast cancer and can promote tumor invasion and metastasis by activating the protein kinase B (AKT) signaling pathway, promoting epithelial-mesenchymal transition (EMT), controlling the generation of extracellular vesicle (EV), and regulating the expression of the inflammatory protein cyclooxygenase 2 (COX-2). Furthermore, P2X7R was proven to play an essential role in the proliferation and apoptosis of breast cancer cells. Recently, inhibitors targeting P2X7R have been found to inhibit the progression of breast cancer. Natural P2X7R antagonists, such as rhodopsin, and the isoquinoline alkaloid berberine, have also been shown to be effective in inhibiting breast cancer progression. In this article, we review the research progress of P2X7R and breast cancer intending to provide new targets and directions for breast cancer treatment.

Biofabrication of bimetallic selenium@zinc nanoparticles using Champia parvula aqueous extract: Investigation of anticancer activity and its apoptosis induction

Selenium@zinc nanoparticles, or Se@Zn NPs, are extensively employed in various environmental, industrial and biological domains. However, the biological potential of Se@Zn NPs has not been thoroughly investigated. This study focused on fabricating Se@Zn NPs from algae using an aqueous extract of Champia parvula seaweed. Analytical techniques were used to describe the successfully synthesized Se@Zn NPs. In addition, a biological function analysis of the Se@Zn NPs was conducted. The Ultraviolet-visible spectroscopy (UV-vis) spectrum showed a specific absorbance peak for the Se@Zn NPs at 350-400 nm. The biomolecules involved in forming Se@Zn NPs were identified by their potential functional groups, as revealed by Fourier transform infrared spectroscopy (FTIR). By scanning electron microscopy (SEM) and transmission electron microscopy (TEM), Se@Zn NPs were shown to be spherical and to have a diameter range of 100-200 nm. NPs with a crystallite diameter of 54.8 nm and chemical compositions of zinc and selenium (1:1.5 ratio) were revealed by X-ray diffraction analysis (XRD) and energy dispersive x-ray spectroscopy (EDS). IC50 values were determined for the anticancer activity against A549, MCF-7 and HeLa cells. Cell morphological changes in fluorescence microscopy and apoptosis mechanisms by flow cytometry analysis were investigated, which show that Se@Zn NPs induced apoptosis in various cancer cells. DNA fragmentation and ROS levels were studied by fluorescence microscopy. In conclusion, conditions required for therapeutic and preventative applications may be met by the green synthesis of Se@Zn NPs.

Emerging cancer disease burden in a rural sub-Saharan African population: northeast Nigeria in focus

Introduction

Sub-Saharan Africa (SSA) is plagued by myriads of diseases, mostly infectious; but cancer disease burden is rising among non-communicable diseases. Nigeria has a high burden of cancer, however its remote underserved culturally-conserved populations have been understudied, a gap this study sought to fill.

Methods

This was a cross-sectional multi-institutional descriptive study of histologically diagnosed cancers over a four-year period (January 2019-December 2022) archived in the Departments of Pathology and Cancer Registries of six tertiary hospitals in the northeast of Nigeria. Data obtained included age at diagnosis, gender, tumor site and available cancer care infrastructure. Population data of the study region and its demographics was obtained from the National Population Commission and used to calculate incident rates for the population studied.

Results

A total of 4,681 incident cancer cases from 2,770 females and 1,911 males were identified. The median age at diagnosis for females was 45 years (range 1-95yrs), and 56 years (range 1-99yrs) for males. Observed age-specific incidence rates (ASR) increased steadily for both genders reaching peaks in the age group 80 years and above with the highest ASR seen among males (321/100,000 persons) compared to females (215.5/100,000 persons). Breast, cervical, prostatic, colorectal and skin cancers were the five most common incident cancers. In females, breast, cervical, skin, ovarian and colorectal cancers were the top five malignancies; while prostate, haematolymphoid, skin, colorectal and urinary bladder cancers predominated in men.

Conclusion

Remote SSA communities are witnessing rising cancer disease burden. Proactive control programs inclusive of advocacy, vaccination, screening, and improved diagnostics are needed.

Uncovering the anti-breast cancer activity potential of east Kalimantan propolis by In vitro and bioinformatics analysis

Numerous side effects of breast cancer drugs have prompted researchers to explore more into new therapeutic approaches derived from natural substances. In this context, our study focused on uncovering the potential of East Kalimantan propolis from Trigona apicalis for breast cancer treatment including the underlying mechanisms through bioinformatics approached. We conducted integrated in vitro and bioinformatics analysis of network pharmacology, molecular docking, molecular dynamics and MM-GBSA analysis. Initially, in vitro cytotoxic assay demonstrated the anti-breast cancer activity potential of ethanol extract of East Kalimantan propolis, particularly its ethyl acetate fraction, which exhibited similar activity to doxorubicin, as indicated by their IC50 value. This study revealed eight propolis compounds, consisting of flavonoids and phenolic acids, in East Kalimantan propolis. By integrating microarray datasets (GSE29431, GSE36295, and GSE42568) analysis with potential targets derived from propolis compounds, 39 shared target genes were identified. Subsequently, GO and KEGG pathway, protein-protein interaction (PPI) network, core hub genes and gene expression analysis revealed three major targets, namely, PTGS2, CXCL2, and MMP9. Among them, only MMP9 was highly expressed in breast cancer than normal. Moreover, molecular docking revealed the six of propolis compounds which exhibited pronounced binding affinity towards MMP-9, better than marimastat as control drug. Dynamic simulation confirmed the stability of chrysin and quercetin as best compounds. Additionally, MM-GBSA analysis revealed a relative binding energy for chrysin (-25.6403 kcal/mol) that was comparable to marimastat (-27.3827 kcal/mol). In conclusion, this study reveals how East Kalimantan Propolis affect breast cancer and emphasizes MMP9 as a key target for future therapeutics.

Respective contribution of baseline clinical data, tumour metabolism and tumour blood-flow in predicting pCR after neoadjuvant chemotherapy in HER2 and Triple Negative breast cancer

BACKGROUND

The aim of this study is to investigate the added value of combining tumour blood flow (BF) and metabolism parameters, including texture features, with clinical parameters to predict, at baseline, the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in patients with newly diagnosed breast cancer (BC).

METHODS

One hundred and twenty-eight BC patients underwent a 18F-FDG PET/CT before any treatment. Tumour BF and metabolism parameters were extracted from first-pass dynamic and delayed PET images, respectively. Standard and texture features were extracted from BF and metabolic images. Prediction of pCR was performed using logistic regression, random forest and support vector classification algorithms. Models were built using clinical (C), clinical and metabolic (C+M) and clinical, metabolic and tumour BF (C+M+BF) information combined. Algorithms were trained on 80% of the dataset and tested on the remaining 20%. Univariate and multivariate features selections were carried out on the training dataset. A total of 50 shuffle splits were performed. The analysis was carried out on the whole dataset (HER2 and Triple Negative (TN)), and separately in HER2 (N=76) and TN (N=52) tumours.

RESULTS

In the whole dataset, the highest classification performances were observed for C+M models, significantly (p-value<0.01) higher than C models and better than C+M+BF models (mean balanced accuracy of 0.66, 0.61, and 0.64 respectively). For HER2 tumours, equal performances were noted for C and C+M models, with performances higher than C+M+BF models (mean balanced accuracy of 0.64, and 0.61 respectively). Regarding TN tumours, the best classification results were reported for C+M models, with better performances than C and C+M+BF models but not significantly (mean balanced accuracy of 0.65, 0.63, and 0.62 respectively).

CONCLUSION

Baseline clinical data combined with global and texture tumour metabolism parameters assessed by 18F-FDG PET/CT provide a better prediction of pCR after NAC in patients with BC compared to clinical parameters alone for TN, and HER2 and TN tumours together. In contrast, adding BF parameters to the models did not improve prediction, regardless of the tumour subgroup analysed.

Recent Update on Nanocarrier(s) as the Targeted Therapy for Breast Cancer

Despite ongoing advances in cancer therapy, the results for the treatment of breast cancer are not satisfactory. The advent of nanotechnology promises to be an essential tool to improve drug delivery effectiveness in cancer therapy. Nanotechnology provides an opportunity to enhance the treatment modality by preventing degradation, improving tumour targeting, and controlling drug release. Recent advances have revealed several strategies to prevent cancer metastasis using nano-drug delivery systems (NDDS). These strategies include the design of appropriate nanocarriers loaded with anti-cancer drugs that target the optimization of physicochemical properties, modulate the tumour microenvironment, and target biomimetic techniques. Nanocarriers have emerged as a preferential approach in the chemotropic treatment for breast cancer due to their pivotal role in safeguarding the therapeutic agents against degradation. They facilitate efficient drug concentration in targeted cells, surmount the resistance of drugs, and possess a small size. Nevertheless, these nanocarrier(s) have some limitations, such as less permeability across the barrier and low bioavailability of loaded drugs. To overcome these challenges, integrating external stimuli has been employed, encompassing infrared light, thermal stimulation, microwaves, and X-rays. Among these stimuli, ultrasound-triggered nanocarriers have gained significant attention due to their cost-effectiveness, non-invasive nature, specificity, ability to penetrate tissues, and capacity to deliver elevated drug concentrations to intended targets. This article comprehensively reviews recent advancements in different nanocarriers for breast cancer chemotherapy. It also delves into the associated hurdles and offers valuable insights into the prospective directions for this innovative field.

Therapeutic potential of esculetin in various cancer types (Review)

Esculetin (Esc), a coumarin derivative and herbal medicinal compound used in traditional Chinese medicine, is extracted from Fraxinus chinensis. Esc has shown notable potential in the inhibition of proliferation, metastasis and cell cycle arrest in various cancer cell lines. The present review is based on research articles regarding Esc in the field of carcinoma, published between 2009 and 2023. These studies have unanimously demonstrated that Esc can effectively inhibit cancer cell proliferation through diverse mechanisms and modulate multiple signaling pathways, such as Wnt/β-catenin, PI3K/Akt, MAPK and janus kinase/signal transducer and activator of transcription-3. In addition, the safety profile of Esc has been demonstrated in credible animal experiments, which has indicated Esc as an effective compound. Furthermore, the combination therapy of Esc with commonly used chemotherapeutic drugs holds great promise. The aim of the present review was to encourage further studies and applications of Esc in cancer therapy.

Exosomal lncRNA SNHG12 promotes angiogenesis and breast cancer progression

OBJECTIVE

Breast cancer is one of the most prevalent malignancies in women. Exosomes are important mediators of intercellular communication; however, their regulatory mechanisms in human umbilical vein endothelial cells (HUVECs) angiogenesis in breast cancer remain unknown.

METHODS

We isolated and characterized breast cancer cell-derived exosomes and investigated their functions. Exosomal sequencing and the TCGA database were used to screen long non-coding RNA (lncRNA). In vitro and in vivo experiments were performed to investigate the role of exosomal lncRNA in HUVEC angiogenesis and tumor growth. Molecular methods were used to demonstrate the molecular mechanism of lncRNA.

RESULTS

We demonstrated that breast cancer cell-derived exosomes promoted HUVEC proliferation, tube formation, and migration. Combining exosomal sequencing results with The Cancer Genome Atlas Breast Cancer database, we screened lncRNA small nucleolar RNA host gene 12 (SNHG12), which was highly expressed in breast cancer cells. SNHG12 was also upregulated in HUVECs co-cultured with exosome-overexpressed SNHG12. Moreover, overexpression of SNHG12 in exosomes increased HUVEC proliferation and migration, whereas deletion of SNHG12 in exosomes showed the opposite effects. In vivo experiments showed that SNHG12 knockdown in exosomes inhibited breast cancer tumor growth. Transcriptome sequencing identified MMP10 as the target gene of SNHG12. Functional experiments revealed that MMP10 overexpression promoted HUVEC angiogenesis. Mechanistically, SNHG12 blocked the interaction between PBRM1 and MMP10 by directly binding to PBRM1. Moreover, exosomal SNHG12 promoted HUVEC angiogenesis via PBRM1 and MMP10.

CONCLUSIONS

In summary, our findings confirmed that exosomal SNHG12 promoted HUVEC angiogenesis via the PBRM1-MMP10 axis, leading to enhanced malignancy of breast cancer. Exosomal SNHG12 may be a novel therapeutic target for breast cancer.

Validation of a clinical breast cancer risk assessment tool combining a polygenic score for all ancestries with traditional risk factors

PURPOSE

We previously described a combined risk score (CRS) that integrates a multiple-ancestry polygenic risk score (MA-PRS) with the Tyrer-Cuzick (TC) model to assess breast cancer (BC) risk. Here, we present a longitudinal validation of CRS in a real-world cohort.

METHODS

This study included 130,058 patients referred for hereditary cancer genetic testing and negative for germline pathogenic variants in BC-associated genes. Data were obtained by linking genetic test results to medical claims (median follow-up 12.1 months). CRS calibration was evaluated by the ratio of observed to expected BCs.

RESULTS

Three hundred forty BCs were observed over 148,349 patient-years. CRS was well-calibrated and demonstrated superior calibration compared with TC in high-risk deciles. MA-PRS alone had greater discriminatory accuracy than TC, and CRS had approximately 2-fold greater discriminatory accuracy than MA-PRS or TC. Among those classified as high risk by TC, 32.6% were low risk by CRS, and of those classified as low risk by TC, 4.3% were high risk by CRS. In cases where CRS and TC classifications disagreed, CRS was more accurate in predicting incident BC.

CONCLUSION

CRS was well-calibrated and significantly improved BC risk stratification. Short-term follow-up suggests that clinical implementation of CRS should improve outcomes for patients of all ancestries through personalized risk-based screening and prevention.

Screening Nonlinear miRNA Features of Breast Cancer by Using Ensemble Regularized Polynomial Logistic Regression

Differentiating breast cancer subtypes based on miRNA data helps doctors provide more personalized treatment plans for patients. This paper explored the interaction between miRNA pairs and developed a novel ensemble regularized polynomial logistic regression method for screening nonlinear features of breast cancer. Three different types of second-order polynomial logistic regression with elastic network penalty (SOPLR-EN) in which each type contains 10 identical models were integrated to determine the most suitable sample set for feature screening by using bootstrap sampling strategy. A single feature and 39 nonlinear features were obtained by screening features that appeared at least 15 times in 30 integrations and were involved in the classification of at least 4 subtypes. The second-order polynomial logistic regression with ridge penalty (SOPLR-R) built on screened feature set achieved 82.30% classification accuracy for distinguishing breast cancer subtypes, surpassing the performance of other six methods. Further, 11 nonlinear miRNA biomarkers were identified, and their significant relevance to breast cancer was illustrated through six types of biological analysis.

Polygonatum sibiricum component liquiritigenin restrains breast cancer cell invasion and migration by inhibiting HSP90 and chaperone-mediated autophagy

Breast cancer (BC) is most commonly diagnosed worldwide. Liquiritigenin is a flavonoid found in various species of the Glycyrrhiza genus, showing anti-tumor activity. This article was to explore the influences of liquiritigenin on the biological behaviors of BC cells and its underlying mechanism. BC cells were treated with liquiritigenin alone or transfected with oe-HSP90 before liquiritigenin treatment. RT-qPCR and Western blotting were employed to examine the levels of HSP90, Snail, E-cadherin, HSC70, and LAMP-2A. Cell viability, proliferation, migration, and invasion were evaluated by performing MTT, colony formation, scratch, and Transwell assays, respectively. Liquiritigenin treatment reduced HSP90 and Snail levels and enhanced E-cadherin expression as well as inhibiting the proliferation, migration, and invasion of BC cells. Moreover, liquiritigenin treatment decreased the expression of HSC70 and LAMP-2A, proteins related to chaperone-mediated autophagy (CMA). HSP90 overexpression promoted the CMA, invasion, and migration of BC cells under liquiritigenin treatment. Liquiritigenin inhibits HSP90-mediated CMA, thereby suppressing BC cell growth.

Barriers to Breast Cancer Screening in Saudi Arabia: A Systematic Review and Meta-Analysis

Breast cancer is a significant public health concern globally, and early detection through screening programs can improve treatment outcomes and reduce mortality rates. However, the uptake of breast cancer screening among women in Saudi Arabia is hindered by various barriers. This systematic review and meta-analysis aimed to elucidate the barriers to breast cancer screening among women in Saudi Arabia, providing insights into the multifaceted challenges hindering screening uptake and informing tailored interventions and policy recommendations. A comprehensive literature search was conducted across electronic databases and grey literature sources to identify relevant studies on barriers to breast cancer screening in Saudi Arabia. Studies conducted between 2017 and 2023, employing diverse settings and methodologies, were included in the analysis. Data on the prevalence of barriers, family history of breast cancer, and self-reported breast examination practices were extracted and synthesized. A total of 14 studies met the inclusion criteria, encompassing diverse populations and methodologies. The included studies predominantly employed cross-sectional survey designs and targeted various populations across different regions of Saudi Arabia. The barriers to breast cancer screening were investigated, revealing concerns such as fear of discovering cancer, embarrassment due to breast-related tests, fear of pain related to clinical examination, and lack of awareness. Additionally, a substantial proportion of participants reported a family history of breast cancer, indicating a significant risk factor for the disease. Self-reported breast examination practices varied among participants, with disparities in screening behaviors observed. Our review identified fear of diagnosis, embarrassment, and lack of awareness as key barriers to breast cancer screening in Saudi Arabia. Targeted interventions, including education and improved access, are essential to address these challenges and enhance early detection efforts, reducing the burden of breast cancer.

Quality and readability of online information and materials on post-surgery breast seroma

Aims/Background Seroma formation is the most common complication following breast surgery. However, there is little evidence on the readability of online patient education materials on this issue. This study aimed to assess the accessibility and readability of the relevant online information. Methods This systematic review of the literature identified 37 relevant websites for further analysis. The readability of each online article was assessed through using a range of readability formulae. Results The average Flesch-Reading Ease score for all patient education materials was 53.9 (± 21.9) and the average Flesch-Kincaid reading grade level was 7.32 (± 3.1), suggesting they were 'fairly difficult' to read and is higher than the recommended reading level. Conclusion Online patient education materials regarding post-surgery breast seroma are at a higher-than-recommended reading grade level for the public. Improvement would allow all patients, regardless of literacy level, to access such resources to aid decision-making around undergoing breast surgery.

Exploring Disulfiram's Anticancer Potential: PLGA Nano-Carriers for Prolonged Drug Delivery and Potential Improved Therapeutic Efficacy

Disulfiram (DS) has been shown to have potent anti-cancer activity; however, it is also characterised by its low water solubility and rapid metabolism in vivo. Biodegradable polylactic-co-glycolic acid (PLGA) polymers have been frequently employed in the manufacturing of PLGA nano-carrier drug delivery systems. Thus, to develop DS-loaded PLGA nanoparticles (NPs) capable of overcoming DS's limitations, two methodologies were used to formulate the NPs: direct nanoprecipitation (DNP) and single emulsion/solvent evaporation (SE), followed by particle size reduction. The DNP method was demonstrated to produce NPs of superior characteristics in terms of size (151.3 nm), PDI (0.083), charge (-37.9 mV), and loading efficiency (65.3%). Consequently, NPs consisting of PLGA and encapsulated DS coated with mPEG2k-PLGA at adjustable ratios were prepared using the DNP method. Formulations were then characterised, and their stability in horse serum was assessed. Results revealed the PEGylated DS-loaded PLGA nano-carriers to be more efficient; hence, in-vitro studies testing these formulations were subsequently performed using two distinct breast cancer cell lines, showing great potential to significantly enhance cancer therapy.