Electrochemical biosensors for early detection of breast cancer.

Breast cancer continues to be a significant contributor to global cancer deaths, particularly among women. This highlights the critical role of early detection and treatment in boosting survival rates. While conventional diagnostic methods like mammograms, biopsies, ultrasounds, and MRIs are valuable tools, limitations exist in terms of cost, invasiveness, and the requirement for specialized equipment and trained personnel. Recent shifts towards biosensor technologies offer a promising alternative for monitoring biological processes and providing accurate health diagnostics in a cost-effective, non-invasive manner. These biosensors are particularly advantageous for early detection of primary tumors, metastases, and recurrent diseases, contributing to more effective breast cancer management. The integration of biosensor technology into medical devices has led to the development of low-cost, adaptable, and efficient diagnostic tools. In this framework, electrochemical screening platforms have garnered significant attention due to their selectivity, affordability, and ease of result interpretation. The current review discusses various breast cancer biomarkers and the potential of electrochemical biosensors to revolutionize early cancer detection, making provision for new diagnostic platforms and personalized healthcare solutions.

Genetically engineered CD276-anchoring biomimetic nanovesicles target senescent escaped tumor cells to overcome chemoresistant and immunosuppressive breast cancer.

Chemotherapy-induced cellular senescence leads to an increased proportion of cancer stem cells (CSCs) in breast cancer (BC), contributing to recurrence and metastasis, while effective means to clear them are currently lacking. Herein, we aim to develop new approaches for selectively killing senescent-escape CSCs. High CD276 (95.60%) expression in multidrug-resistant BC cells, facilitates immune evasion by low-immunogenic senescent escape CSCs. CALD1, upregulated in ADR-resistant BC, promoting senescent-escape of CSCs with an anti-apoptosis state and upregulating CD276, PD-L1 to promote chemoresistance and immune escape. We have developed a controlled-released thermosensitive hydrogel containing pH- responsive anti-CD276 scFV engineered biomimetic nanovesicles to overcome BC in primary, recurrent, metastatic and abscopal humanized mice models. Nanovesicles coated anti-CD276 scFV selectively fuses with cell membrane of senescent-escape CSCs, then sequentially delivers siCALD1 and ADR due to pH-responsive MnP shell. siCALD1 together with ADR effectively induce apoptosis of CSCs, decrease expression of CD276 and PD-L1, and upregulate MHC I combined with Mn2+ to overcome chemoresistance and promote CD8+T cells infiltration. This combined therapeutic approach reveals insights into immune surveillance evasion by senescent-escape CSCs, offering a promising strategy to immunotherapy effectiveness in cancer therapy.

Visible-short wavelength near infrared hyperspectral imaging coupled with multivariate curve resolution-alternating least squares for diagnosis of breast cancer.

This study investigates the application of visible-short wavelength near-infrared hyperspectral imaging (Vis-SWNIR HSI) in the wavelength range of 400-950 nm and advanced chemometric techniques for diagnosing breast cancer (BC). The research involved 56 ex-vivo samples encompassing both cancerous and non-cancerous breast tissue from females. First, HSI images were analyzed using multivariate curve resolution-alternating least squares (MCR-ALS) to exploit pure spatial and spectral profiles of active components. Then, the MCR-ALS resolved spatial profiles were arranged in a new data matrix for exploration and discrimination between benign and cancerous tissue samples using principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The PLS-DA classification accuracy of 82.1 % showed the potential of HSI and chemometrics for non-invasive detection of BC. Additionally, the resolved spectral profiles by MCR-ALS can be used to track the changes in the breast tissue during cancer and treatment. It is concluded that the proposed strategy in this work can effectively differentiate between cancerous and non-cancerous breast tissue and pave the way for further studies and potential clinical implementation of this innovative approach, offering a promising avenue for improving early detection and treatment outcomes in BC patients.

MRPL13 is a metastatic and prognostic marker of breast cancer: A silico analysis accompanied with experimental validation.

BACKGROUND: Although progress has been made in accurate diagnosis and targeted treatments, breast cancer (BC) patients with metastasis still present a grim prognosis. With the continuous emergence and development of new personalized and precision medicine targeting specific tumor biomarkers, there is an urgent need to find new metastatic and prognostic biomarkers for BC patients. METHODS: We were dedicated to identifying genes linked to metastasis and prognosis in breast cancer through a combination of in silico analysis and experimental validation. RESULTS: A total of 25 overlap differentially expressed genes were identified. Ten hub genes (namely MRPL13, CTR9, TCEB1, RPLP0, TIMM8B, METTL1, GOLT1B, PLK2, PARL and MANBA) were identified and confirmed. MRPL13, TCEB1 and GOLT1B were shown to be associated with the worse overall survival (OS) and were optionally chosen for further verification by western blot. Only MRPL13 was found associated with cell invasion, and the expression of MRPL13 in metastatic BC was significantly higher than in primary BC. CONCLUSION: We proposed MRPL13 could be a potential novel biomarker for the metastasis and prognosis of breast cancer.

Analysis of the function, mechanism and clinical application prospect of TRPS1, a new marker for breast cancer.

It has been discovered that Trichorhinophalangeal Syndrome-1 (TRPS1), a novel member of the GATA transcription factor family, participates in both normal physiological processes and the development of numerous diseases. Recently, TRPS1 has been identified as a new biomarker to aid in cancer diagnosis and is very common in breast cancer (BC), especially in triple-negative breast cancer (TNBC). In this review, we discussed the structure and function of TRPS1 in various normal cells, focused on its role in tumorigenesis and tumor development, and summarize the research status of TRPS1 in the occurrence and development of BC. We also analyzed the potential use of TRPS1 in guiding clinically personalized precision treatment and the development of targeted drugs.

Oxygen-defect bismuth oxychloride nanosheets for ultrasonic cavitation effect enhanced sonodynamic and second near-infrared photo-induced therapy of breast cancer.

Sonodynamic therapy (SDT) relies heavily on the presence of oxygen to induce cell death. Its effectiveness is thus diminished in the hypoxic regions of tumor tissue. To address this issue, the exploration of ultrasound-based synergistic treatment modalities has become a significant research focus. Here, we report an ultrasonic cavitation effect enhanced sonodynamic and 1208 nm photo-induced cancer treatment strategy based on thermoelectric/piezoelectric oxygen-defect bismuth oxychloride nanosheets (BNs) to realize the high-performance eradication of tumors. Upon ultrasonic irradiation, the local high temperature and high pressure generated by the ultrasonic cavitation effect combined with the thermoelectric and piezoelectric effects of BNs create a built-in electric field. This facilitates the separation of carriers, increasing their mobility and extending their lifetimes, thereby greatly improving the effectiveness of SDT and NIR-Ⅱ phototherapy on hypoxia. The Tween-20 modified BNs (TBNs) demonstrate ∼88.6 % elimination rate against deep-seated tumor cells under hypoxic conditions. In vivo experiments confirm the excellent antitumor efficacy of TBNs, achieving complete tumor elimination within 10 days with no recurrences. Furthermore, due to the high X-ray attenuation of Bi and excellent NIR-Ⅱ absorption, TBNs enable precise cancer diagnosis through photoacoustic (PA) imaging and computed tomography (CT).

Is it really over when it is over? physical, mental and emotional health status of long-term breast cancer survivors compared to healthy matched controls.

PURPOSE: This study aimed to assess pain, fitness condition, physical activity (PA) level, comorbidities, cancer-related fatigue (CRF), mood state and health-related quality of life (HRQoL) in long-term breast cancer survivors (LTBCS) compared to women without cancer history, matched by age, weight, height, and educational level. METHODS: A cross-sectional study conducted in Granada between April 2018 and July 2023 involved 80 LTBCS and 80 matched controls. Pain, fitness condition, PA level, comorbidities, CRF, mood state, and HRQoL were evaluated ≥ 5 years post-diagnosis using validated instruments. RESULTS: LTBCS, compared to the controls, reported significantly higher levels of "pain intensity and interference", CRF (in all domains and > 40% exhibited moderate-to-severe fatigue levels), "sadness-depression", "anxiety", "anger/hostility", and "symptom scales" (All: P = .000 to .027). Moreover, 66.25% of LTBCS not only did not reach recommended PA levels (P = .035), but also presented significantly lower levels of "general physical fitness", "muscular strength", "happiness", "functioning scales" (except "emotional functioning"), and "global health status" (All: P = .000 to .048). CONCLUSION: LTBCS still suffer from physical (pain, fitness condition, and CRF), both mental and emotional (sadness-depression, anxiety and anger/hostility) long-term side effects as well as multiple HRQoL issues (including lower levels of physical functioning and higher levels of symptoms). These findings highlight the chronic nature of this disease and the importance of continuing long- term follow-up care for survivors many years after the diagnosis of breast cancer.

Spatially lipidomic characterization of patient-derived organoids by whole-mount autofocusing SMALDI mass spectrometry imaging.

BACKGROUND: Patient-derived organoids (PDOs) are multi-cellular cultures with specific three-dimensional (3D) structures. Tumor organoids (TOs) offer a personalized perspective for assessing treatment response. However, the presence of normal organoid (NO) residuals poses a potential threat to their utility for personalized medicine. There is a crucial need for an effective platform capable of distinguishing between TO and NO in cancer organoid cultures. RESULTS: We introduced a whole-mount (WM) preparation protocol for in-situ visualization of the lipidomic distribution of organoids. To assess the efficacy of this method, nine breast cancer organoids (BCOs) and six normal breast organoids (NBOs) were analyzed. Poly-l-lysine (PLL) coated slides, equipped with 12 well chambers, were utilized as a carrier for the high-throughput analysis of PDOs. Optimizing the fixation time to 30 min, preserved the integrity of organoids and the fidelity of lipid compounds. The PDOs derived from the same organoid lines exhibited similar lipidomic profiles. BCOs and NBOs were obviously distinguished based on their lipidomic signatures detected by WM autofocusing (AF) scanning microprobe matrix-assisted laser desorption/ionization (SMALDI) mass spectrometry imaging (MSI). SIGNIFICANCE: A whole-mount (WM) preparation protocol was developed to visualize lipidomic distributions of the organoids' surface. Using poly-l-lysine coated slides for high-throughput analysis, the method preserved organoid integrity and distinguished breast cancer organoids (BCOs) from normal breast organoids (NBOs) based on their unique lipidomic profiles using autofocusing scanning microprobe matrix-assisted laser desorption/ionization (SMALDI) mass spectrometry imaging.

Factors linked to the late diagnosis of breast cancer and the initiation of treatment.

Breast cancer is the first cancer in women in terms of incidence and mortality. In Morocco, it is a public health problem. Its prognosis is strongly linked to the stage at which it is diagnosed. It is a pathology for which diagnosis means are highly developed today, ranging from early detection to the demonstration of infra-clinical lesions, which has markedly improved the prognosis in developed countries. This work aims to identify the factors that lead patients to consult at an advanced stage in our daily practice. It is a retrospective study carried out from January 2018 to December 2018 including 525 patients with breast cancer followed in the medical oncology department of the Mohammed VI University Hospital in Marrakech. The average age was 54. The average time for consultation was 10.3 months. 63% of patients were from rural areas. Delayed diagnosis affected women above 35 years of age (80%). The most common method of detection was self-examination in 74% of cases. Inflammation (2.66%), ulceration (1.14%), signs of metastases (17.14%), and isolated breast nodes (79.4%) were other reasons for consultation. 82.2% of patients were locally advanced at the time of diagnosis. The time for treatment in our study was 3.7 weeks. In our practice, it is the conjunction of ignorance, poverty, socio-cultural habits, and difficult geographical access that are the essential factors in the late diagnosis of breast cancer.

The Banaras Convention: A Safe Reliable Technique for Axillary Dissection by Lateral exposure of Latissimus Dorsi Pedicle.

Breast cancer is rising among women in India. Most of the cases are presented at the locally advanced stage where axillary dissection is needed. In this article, we have described our approach of axillary dissection in the technically challenging high nodal burden axillas.

Low ozone concentrations do not exert cytoprotective effects on tamoxifen-treated breast cancer cells in vitro.

Medical treatment with low ozone concentrations proved to exert therapeutic effects in various diseases by inducing a cytoprotective antioxidant response through the nuclear factor erythroid derived-like 2 (Nrf2) transcription factor pathway. Low ozone doses are increasingly administered to oncological patients as a complementary treatment to mitigate some adverse side-effects of antitumor treatments. However, a widespread concern exists about the possibility that the cytoprotective effect of Nrf2 activation may confer drug resistance to cancer cells or at least reduce the efficacy of antitumor agents. In this study, the effect of low ozone concentrations on tamoxifen-treated MCF7 human breast cancer cells has been investigated in vitro by histochemical and molecular techniques. Results demonstrated that cell viability, proliferation and migration were generally similar in tamoxifen-treated cells as in cells concomitantly treated with tamoxifen and ozone. Notably, low ozone concentrations were unable to overstimulate the antioxidant response through the Nfr2 pathway, thus excluding a possible ozone-driven cytoprotective effect that would lead to increased tumor cell survival during the antineoplastic treatment. These findings, though obtained in an in vitro model, support the hypothesis that low ozone concentrations do not interfere with the tamoxifen-induced effects on breast cancer cells.

Combining Radiomics and Autoencoders to Distinguish Benign and Malignant Breast Tumors on US Images.

Background US is clinically established for breast imaging, but its diagnostic performance depends on operator experience. Computer-assisted (real-time) image analysis may help in overcoming this limitation. Purpose To develop precise real-time-capable US-based breast tumor categorization by combining classic radiomics and autoencoder-based features from automatically localized lesions. Materials and Methods A total of 1619 B-mode US images of breast tumors were retrospectively analyzed between April 2018 and January 2024. nnU-Net was trained for lesion segmentation. Features were extracted from tumor segments, bounding boxes, and whole images using either classic radiomics, autoencoder, or both. Feature selection was performed to generate radiomics signatures, which were used to train machine learning algorithms for tumor categorization. Models were evaluated using the area under the receiver operating characteristic curve (AUC), sensitivity, and specificity and were statistically compared with histopathologically or follow-up-confirmed diagnosis. Results The model was developed on 1191 (mean age, 61 years ± 14 [SD]) female patients and externally validated on 50 (mean age, 55 years ± 15]). The development data set was divided into two parts: testing and training lesion segmentation (419 and 179 examinations) and lesion categorization (503 and 90 examinations). nnU-Net demonstrated precision and reproducibility in lesion segmentation in test set of data set 1 (median Dice score [DS]: 0.90 [IQR, 0.84-0.93]; P = .01) and data set 2 (median DS: 0.89 [IQR, 0.80-0.92]; P = .001). The best model, trained with 23 mixed features from tumor bounding boxes, achieved an AUC of 0.90 (95% CI: 0.83, 0.97), sensitivity of 81% (46 of 57; 95% CI: 70, 91), and specificity of 87% (39 of 45; 95% CI: 77, 87). No evidence of difference was found between model and human readers (AUC = 0.90 [95% CI: 0.83, 0.97] vs 0.83 [95% CI: 0.76, 0.90]; P = .55 and 0.90 vs 0.82 [95% CI: 0.75, 0.90]; P = .45) in tumor classification or between model and histopathologically or follow-up-confirmed diagnosis (AUC = 0.90 [95% CI: 0.83, 0.97] vs 1.00 [95% CI: 1.00,1.00]; P = .10). Conclusion Precise real-time US-based breast tumor categorization was developed by mixing classic radiomics and autoencoder-based features from tumor bounding boxes. ClinicalTrials.gov identifier: NCT04976257 Published under a CC BY 4.0 license. Supplemental material is available for this article. See also the editorial by Bahl in this issue.

The hepatorenal protective effects of silymarin in cancer patients receiving chemotherapy: a randomized, placebo-controlled trial.

BACKGROUND: Breast cancer is one of the most common diseases globally that may have side effects on liver and renal function. Pharmacological treatments to reduce adverse liver and renal effects are still limited. It has been proposed that silymarin may possess hepatoprotective and anti-inflammatory properties. The present trial aims to assess the hepatorenal protective efficacy of silymarin supplementation in cancer patients receiving chemotherapy in an outpatient setting. METHOD: This is a randomized, placebo-controlled clinical trial that recruited female breast cancer patients. Participants were randomly assigned to one placebo group and two intervention groups. The control group received 140 mg of placebo daily, while the two intervention groups received 140 mg silymarin daily. Follow-up assessments were conducted at baseline, 3 weeks, and 6 weeks. At the beginning of the study, the patients were subjected to a computed tomography (CT) scan, and the liver and renal parameters such as alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), bilirubin, Blood urea nitrogen (BUN) and Creatinine (Cr) were examined through laboratory tests. RESULTS: Despite two deaths and three dropouts, 100 patients completed the study. Silymarin showed significant effects on liver enzymes in the levels of ALP and bilirubin (P < 0.05), with no significant impact on renal function in the levels of Blood urea nitrogen (BUN) and Creatinine (Cr) (P > 0.05). The medication was well-tolerated, with minimal reported side effects (P > 0.05). DISCUSSION: The study suggests that silymarin may have hepato-renal protective potential in breast cancer patients and improve patient tolerance to chemotherapy. The data presented on the efficacy and safety of silymarin may provide stronger foundation for further trials and for a possible use in clinical practice. TRIAL REGISTRATION INFORMATION: Registration Number: IRCT20201123049474N2, First Trial Registration: 16/08/2021, Access: https://www.irct.behdasht.gov.ir/trial/57641.

Single-cell chromatin accessibility reveals malignant regulatory programs in primary human cancers.

To identify cancer-associated gene regulatory changes, we generated single-cell chromatin accessibility landscapes across eight tumor types as part of The Cancer Genome Atlas. Tumor chromatin accessibility is strongly influenced by copy number alterations that can be used to identify subclones, yet underlying cis-regulatory landscapes retain cancer type-specific features. Using organ-matched healthy tissues, we identified the "nearest healthy" cell types in diverse cancers, demonstrating that the chromatin signature of basal-like-subtype breast cancer is most similar to secretory-type luminal epithelial cells. Neural network models trained to learn regulatory programs in cancer revealed enrichment of model-prioritized somatic noncoding mutations near cancer-associated genes, suggesting that dispersed, nonrecurrent, noncoding mutations in cancer are functional. Overall, these data and interpretable gene regulatory models for cancer and healthy tissue provide a framework for understanding cancer-specific gene regulation.

Efficacy of Stilbene Derivatives in Sensitizing Breast Cancer Cells to Ionizing Radiation.

BACKGROUND/AIMS: One of the treatments for breast cancer is surgical resection of the tumour and prevention of recurrence with postoperative radiotherapy. Unfortunately, radiotherapy is not always effective enough due to the low sensitivity of cancer cells to ionising radiation. This study aimed to evaluate the radiosensitising properties of resveratrol, piceatannol and polydatin on breast cancer cells, which differ in the presence of hormonal receptors on their surface. METHODS: The experimental part was carried out on triple-negative breast cancer cells (HCC38) and hormone-dependent cells (MCF7). The study assessed the level of cell death, changes in the expression of genes (BAX, BCL-2) and proteins related to the apoptosis process (CASPASE 3, 8 and P53), changes in the expression of antioxidant enzymes (CATALASE, SOD, GPx1/2) and NRF-2. Additionally, the expression level of RAD51 protein and histone H2AX, which are involved in DNA repair processes, was assessed. Statistical significance was evaluated by a two-way analysis of variance (ANOVA) followed by Tukey's post hoc test (p < 0.05). RESULTS: Ionising radiation in combination with resveratrol or piceatannol activates the apoptosis process by internal and external pathways. Greater sensitivity of MCF7 cells compared to HCC38 cells to ionising radiation in combination with resveratrol is associated with a weaker antioxidant response of cells and reduced intensity of DNA damage repair. DNA repair induced by ionising radiation occurs more effectively in HCC38 cells than in MCF7 cells. CONCLUSION: Resveratrol has the highest radiosensitising potential among the tested stilbene for cells of both lines. The effectiveness of ionizing radiation in combination with resveratrol (to a lesser extent with piceatannol) is more significant in MCF7 than in HCC38 cells.