With the rising incidence of breast cancer among women, neoadjuvant chemotherapy (NAC) is becoming increasingly crucial as a preoperative treatment modality, enabling tumor downstaging and volume reduction. However, its efficacy varies significantly among patients, underscoring the importance of predicting pathological complete response (pCR) following NAC. Early research relied on statistical methods to integrate clinical data for predicting treatment outcomes. With the advent of artificial intelligence (AI), traditional machine learning approaches were subsequently employed for efficacy prediction. Deep learning emerged to dominate this field, and demonstrated the capability to automatically extract imaging features and integrate multimodal data for pCR prediction. This review comprehensively examined the applications and limitations of these three methodologies in predicting breast cancer pCR. Future efforts must prioritize the development of superior predictive models to achieve precise predictions, integrate them into clinical workflows, enhance patient care, and ultimately improve therapeutic outcomes and quality of life.
Humans ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy ; Artificial Intelligence ; Female ; Machine Learning ; Deep Learning ; Chemotherapy, Adjuvant ; Treatment Outcome

A 32-year-old woman presented with a progressively enlarging left breast mass for about one year. Breast magnetic resonance imaging (MRI) revealed a mass at the 9 o'clock position in the left breast, classified as BI-RADS category 6. The patient underwent endoscopic left breast-conserving surgery and sentinel lymph node biopsy. Histological examination (HE staining) revealed a tumor composed of sheets of epithelioid cells and fascicles of spindle cells, with areas of transition between the two components. Epithelioid cells were small, round to short-spindled, with scant cytoplasm, crowded arrangement, and coarse chromatin. Spindle cells were loosely arranged with indistinct borders, mildly eosinophilic cytoplasm, inconspicuous nucleoli, and intervening pale pink matrix. Immunohistochemistry demonstrated: epithelioid cells were diffusely positive for CK8/18, CAM5.2 and E-cadherin; partially positive for pan-CK and CK7; focally positive for CK5/6, CK14, high molecular weight cytokeratin and P63; and negative for vimentin. Spindle cells were positive for synaptophysin, CD56 and vimentin, and for glial fibrillary acidic protein, but negative for epithelial markers (pan-CK, CK7, CK8/18, CAM5.2, E-cadherin). The diagnosis was metaplastic carcinoma with heterologous mesenchymal (neuroectodermal) differentiation. Postoperatively, the patient received 8 cycles of EC-T systemic chemotherapy. Follow-up with breast MRI and chest CT every 3 months for 23 months showed no evidence of tumor recurrence or metastasis.
Humans ; Female ; Adult ; Breast Neoplasms/pathology*

OBJECTIVE: To explore the effect of concurrent administration of goserelin for ovarian function protection on the pathological complete response (pCR) rate and objective response rate (ORR) of neoadjuvant chemotherapy (NAC) in young breast cancer patients. METHODS: The study enrolled breast cancer patients aged 18-45 with clinical stages ⅡA~ⅢC from January 2016 to May 2020. According to patients' willingness, they were divided into two groups: Those who chose to receive goserelin to protect ovarian function during NAC (goserelin group) and those who did not (chemotherapy group). The pCR rate and ORR were compared between the two groups, and subgroup analysis was conducted for patients with different molecular subtypes. RESULTS: A total of 93 patients were included in this study (31 in the goserelin group and 62 in the chemotherapy group). After propensity score weighting (PSW) adjustment, baseline data such as age, preoperative clinical stage, postoperative pathological stage, pa-thological type, hormone receptor status, human epidermal growth factor receptor 2 (HER2) and Ki-67 expression, molecular subtypes, and chemotherapy regimens were well-matched between the two groups. There was no significant difference in the pCR rate between the goserelin group and the chemotherapy group, with rates of 29.0% and 25.8%, respectively (P=0.741). Similarly, there was no significant difference in ORR between the two groups (90.3% vs. 87.1%, P=0.746). Subgroup analysis revealed that among the patients with hormone receptor-positive tumors, there were no significant differences in pCR rate (6.3% vs. 7.7%, P=0.852) or ORR (87.5% vs. 82.1%, P=0.839) between the goserelin and chemotherapy groups. Among the patients with hormone receptor-negative tumors, there were also no significant differences in pCR rate (53.3% vs. 56.5%, P=0.847) or ORR (93.3% vs. 95.7%, P=0.975) between the two groups. One year after the completion of chemotherapy, the incidence of chemotherapy-induced amenorrhea (CIA) was significantly lower in the goserelin group compared with the chemotherapy group (9.5% vs. 33.3%, P=0.036). CONCLUSION For young breast cancer patients with clinical stages of ⅡA~ⅢC, there was no statistical difference in pCR rate and ORR whether or not using goserelin during NAC. However, it is still necessary to expand the sample size and carry out a longer follow-up to evaluate the effect of goserelin on the long-term survival of young patients.
Humans ; Goserelin/administration & dosage* ; Female ; Breast Neoplasms/pathology* ; Neoadjuvant Therapy/methods* ; Adult ; Middle Aged ; Young Adult ; Adolescent ; Chemotherapy, Adjuvant ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Antineoplastic Agents, Hormonal/therapeutic use* ; Treatment Outcome ; Receptor, ErbB-2

OBJECTIVES: The traditional processing method for paraffin-embedded tissues is time-consuming, while the ultrasonic rapid processing method has a short processing time. However, its effects on tissue proteins, DNA, and RNA remain unclear. This study aims to evaluate the effects of the ultrasonic rapid processing method on proteins, DNA, and RNA in paraffin-embedded tissues through hematoxylin and eosin (HE) staining, immunohistochemical staining, and molecular pathological detection. METHODS: Surgical specimens from patients with breast cancer, colorectal cancer, lung cancer, signet-ring cell gastric cancer, liver cancer, and other tumors were selected. Two tissue blocks (1 to 3 mm in diameter) were obtained from each specimen (previously processed and diagnosed by routine pathology). One block was assigned to the control group (traditional processing method), and the other was the experimental group (ultrasonic rapid processing method). Via HE staining, immunohistochemical staining, DNA quality fragment analysis, fluorescent in situ hybrid for HER2 gene expression test, second-generation sequencing for EGFR and ALK gene mutation test, real-time reverse transcription PCR (real-time RT-PCR) for prognosis detection of breast cancer etc, the difference between 2 groups was compared, and further impact of the ultrasonic rapid processing method was analyzed. RESULTS: Compared with the control group, the ultrasound-assisted rapid method efficiently completed fixation, dehydration, clearing, and paraffin embedding, significantly reducing sample preparation time before pathological diagnosis. Results of HE staining, immunohistochemistry, DNA fragment analysis, fluorescence in situ hybridization for HER2 gene, next-generation sequencing for EGFR and ALK gene, and real-time RT-PCR for breast cancer prognosis were entirely consistent with those of the control group. CONCLUSIONS The ultrasonic rapid processing method can quickly and effectively shorten the time for specimen processing before pathological diagnosis, and will not affect the DNA, RNA and proteins of the specimens. It can meet the subsequent HE staining, immunohistochemistry and molecular pathological detection.
Humans ; Paraffin Embedding/methods* ; Female ; RNA/analysis* ; DNA/analysis* ; Breast Neoplasms/pathology* ; Neoplasms/genetics* ; Ultrasonics/methods* ; Proteins/analysis*

The spatio-temporal heterogeneity of breast cell subsets forms the fundamental biological basis for physiological development and pathological progression, including tumorigenesis; however, its complex regulatory mechanisms are not yet fully elucidated. With its high-resolution capabilities, single-cell RNA sequencing (scRNA-seq) technology offers a powerful tool for dissecting this cellular heterogeneity. This technology enables the construction of high-precision breast cell atlases, the accurate identification of distinct cell subsets, and the reconstruction of differentiation trajectories from stem/progenitor cells to functional epithelial cells. By resolving the transcriptional regulatory networks that govern cell fate determination, intercellular communication patterns, and dynamic microenvironmental interactions, scRNA-seq has unveiled the molecular foundations of breast development and provided new perspectives on the pathogenesis of related diseases such as breast cancer and macromastia. Furthermore, scRNA-seq demonstrates significant potential for discovering early molecular markers of disease, deciphering tumor heterogeneity, and elucidating mechanisms of therapeutic resistance. The continued application of scRNA-seq for dissecting breast cell heterogeneity, combined with its integration with multi-modal data such as spatial omics, promises to provide critical evidence and new insights for revealing the molecular mechanisms of breast development-related diseases and for formulating precision therapeutic strategies.
Humans ; Single-Cell Analysis/methods* ; Female ; Breast Neoplasms/pathology* ; Sequence Analysis, RNA/methods* ; Breast/cytology*

Anastasis is a phenomenon described as a cellular escape from ethanol-induced cell death. Although the relevant mechanism has not yet been fully elucidated, anastasis is thought to play a role in drug resistance in cancer cells. To date, the regulation of anastasis in normal and cancerous cells has not been clarified. The current cancer treatment strategies are expected to selectively attack cancer cells without negatively affecting normal cell proliferation. Inspired by the anti-cancer potential of bee venom, this study is the first to evaluate whether bee venom has similar selectivity in producing an anastatic effect. The results indicated that bee venom induces anastasis in normal cells (Michigan Cancer Foundation-10A (MCF10A), Adult Retinal Pigment Epithelium cell line-19 (ARPE-19), and National Institutes of Health 3T3 cell line (NIH3T3)) but causes irreversible cell death in breast cancer cells (M.D. Anderson-Metastatic Breast-231 (MDA-MB-231) and Michigan Cancer Foundation-7 (MCF7)). Liver cancer (HepG2) cells were moderately more resistant to permanent cell death after bee venom treatment compared to breast cancer cells. However, cisplatin caused permanent non-selective cell death in both normal and cancerous cells. The selectivity indices after bee venom treatment were higher compared to cisplatin. Taken together, bee venom was shown to induce selective anastasis only in normal cells, not in cancer cells, which suggests that bee venom has significant potential in selective cancer therapy, especially for breast cancer, via promoting the recovery and maintenance of viability of normal cells.
Bee Venoms/pharmacology* ; Humans ; Animals ; Mice ; Cell Survival/drug effects* ; Breast Neoplasms/pathology* ; Female ; Cell Line, Tumor ; NIH 3T3 Cells ; Antineoplastic Agents/pharmacology* ; Cisplatin/pharmacology* ; Cell Death/drug effects* ; Hep G2 Cells ; MCF-7 Cells

OBJECTIVES: To qualitatively assess the diagnostic performance of dynamic contrast enhancement (DCE), diffusion-weighted imaging (DWI), and T2-weighted imaging (T2WI), alone or in combination, in the evaluation of breast cancer. METHODS: We retrospectively reviewed the records of 394 consecutive patients with pathologically confirmed breast lesions who had undergone 3-T magnetic resonance imaging (MRI). The morphological characteristics of breast lesions were evaluated using DCE, DWI, and T2WI based on BI-RADS lexicon descriptors by trained radiologists. Patients were categorized into mass and non-mass groups based on MRI characteristics of the lesions, and the differences between benign and malignant lesions in each group were compared. Clinical prediction models for breast cancer diagnosis were constructed using logistic regression analysis. Diagnostic efficacies were compared using the area under the receiver operating characteristic curve (AUC) and DeLong test. RESULTS: For mass-like lesions, all the morphological parameters significantly differentiated benign and malignant lesions on consensus DCE, DWI, and T2WI (P<0.05). The combined method (DCE+DWI+T2WI) had a higher AUC (0.865) than any of the individual modality (DCE: 0.786; DWI: 0.793; T2WI: 0.809) (P<0.05). For non-mass-like lesions, DWI signal intensity was a significant predictor of malignancy (P=0.036), but the model using DWI alone had a low AUC (0.669). CONCLUSIONS Morphological assessment using the combination of DCE, DWI, and T2WI provides better diagnostic value in differentiating benign and malignant breast mass-like lesions than assessment with only one of the modalities.
Humans ; Female ; Breast Neoplasms/pathology* ; Retrospective Studies ; Middle Aged ; Adult ; Diffusion Magnetic Resonance Imaging/methods* ; Aged ; Magnetic Resonance Imaging/methods* ; Young Adult ; Aged, 80 and over

Tumor-associated macrophages (TAMs), a crucial component of the tumor microenvironment (TME), are closely associated to the growth, invasion, metastasis, and prognosis of breast cancer. Targeting TAMs is considered to be a potential new strategy for improving the therapeutic efficacy of breast cancer. TAMs interact with breast cancer cells and influence the development and progression of various breast cancer subtypes through multiple pathways, including the secretion of proteins, cytokines, chemokines, and exosomes. Anti-breast cancer drugs targeting TAMs and emerging therapies are continually being discovered. This article explores the effects and mechanisms of TAMs in different breast cancer subtypes, examines the anti-breast cancer effects of herbal extracts and their active ingredients targeting TAMs, and introduces new technologies such as nano-agents, gene therapy, and immunocellular therapy that target TAMs. These therapeutic strategies targeting TAMs may be critical in improving the therapeutic efficacy and prognosis of breast cancer patients.
Humans ; Breast Neoplasms/pathology* ; Female ; Tumor-Associated Macrophages/drug effects* ; Tumor Microenvironment/drug effects* ; Animals ; Molecular Targeted Therapy/methods*

Occult breast cancer (OBC) refers to a type of breast cancer where no primary lesion is detected through physical examination, imaging, and pathology. This report presents a clinical case of OBC with intestinal obstruction as the initial symptom. A 67-year-old female with no underlying conditions presented to Zhuzhou Hospital Affiliated to Xiangya School of Medicine, Central South University with intestinal obstruction. Contrast-enhanced CT of the abdomen showed thickening of the lower rectum and ascending colon, suggestive of a neoplastic lesion. Chest CT showed multiple enlarged lymph nodes in the left axilla. Colonoscopy revealed only mucosal congestion, roughness, and thickening. Suspecting an intestinal tumor, laparoscopic radical resection of the rectal stenosis was performed. Postoperative pathology indicated poorly differentiated adenocarcinoma of the rectum. Immunohistochemistry showed positive expression of estrogen receptor (ER), progesterone receptor (PR), GATA-binding protein 3 (GATA3), and cytokeratin 7 (CK7), suggesting breast cancer metastasis. Breast MRI revealed multiple proliferative nodules in both breasts (breast imaging reporting and data system, BI-RADS 2). Biopsies of the right lower-inner breast, bilateral axillary, and supraclavicular lymph nodes were performed. No carcinoma was found in the right breast tissues; however, small foci of carcinoma was detected in the right axillary lymph nodes, and poorly differentiated carcinoma of suspected breast origin was found in the bilateral supraclavicular and left axillary lymph nodes. The final diagnosis was OBC with lymph node and rectal metastasis. The patient died 16 months postoperatively. OBC often lacks identifiable primary breast lesions, and gastrointestinal metastases are particularly rare. Clinical manifestations are frequently masked by symptoms of metastatic lesions, making diagnosis challenging. Clinicians should maintain a high index of suspicion. Due to rapid disease progression and multiorgan involvement, prognosis is extremely poor. Early identification of the primary lesion in OBC is crucial for improving outcomes.
Humans ; Female ; Aged ; Intestinal Obstruction/etiology* ; Breast Neoplasms/pathology* ; Adenocarcinoma/diagnosis* ; Neoplasms, Unknown Primary/complications* ; Rectal Neoplasms/complications*

OBJECTIVES: To investigate the synergistic inhibitory effects of AKBA and doxorubicin on malignant phenotype of triple-negative breast cancer (TNBC) MDA-MB-231 cells. METHODS: CCK-8 assay was used to determine the 48-h IC₅₀ of AKBA and doxorubicin in MDA-MB-231 cells, and SynergyFinder was employed to calculate the synergistic index and the optimal concentrations of the two agents. MDA-MB-231 cells treated with AKBA (22.5 μmol/L), doxorubicin (0.84 μmol/L) or their combination were examined for changes in cell proliferation, migration, invasion and apoptosis using Transwell migration, scratch assay, clone generation, RT-qPCR and Western blotting. Network pharmacology analysis was conducted to identify the downstream targets of AKBA in TNBC. In nude mouse models bearing subcutaneous MDA-MB-231 cell xenografts, the effects of normal saline, AKBA (50 mg/kg), doxorubicin (2.5 mg/kg), and AKBA combined with doxorubicin on xenograft growth and histopathology were observed. RESULTS: The IC₅₀ of AKBA and doxorubicin in MDA-MB-231 cells at 48 h was 45.15±0.97 μmol/L and 0.42±0.99 μmol/L, respectively. SynergyFinder confirmed the synergistic effect of AKBA and ADR with a ZIP>10. The combined treatment with AKBA and doxorubicin significantly inhibited the proliferation, migration and invasion, promoted apoptosis of MDA-MB-231 cells, and effectively suppressed xenograft growth in nude mice. Network pharmacology analysis predicted that AKBA affects the progression of TNBC through its downstream target AKBA. CONCLUSIONS AKBA combined with doxorubicin inhibits proliferation, migration and invasion, promotes apoptosis of MDA-MB-231 cells and suppresses MDA-MB-231 cell xenograft growth in nude mice. The combined use of AKBA can attenuate the toxic effects of doxorubicin in nude mice.
Animals ; Doxorubicin/pharmacology* ; Triple Negative Breast Neoplasms/pathology* ; Mice, Nude ; Mice ; Cell Proliferation/drug effects* ; Cell Line, Tumor ; Humans ; Female ; Apoptosis/drug effects* ; Cell Movement/drug effects* ; Xenograft Model Antitumor Assays ; Drug Synergism ; MDA-MB-231 Cells