BACKGROUND AND OBJECTIVE

The burden of treatment delay in breast cancer is high, especially among developing countries. Despite adversely affecting morbidity and mortality, treatment delay remains unexplored in the Philippines. This study aimed to determine treatment delays among breast cancer patients in a tertiary hospital during surgery, neoadjuvant chemotherapy, and adjuvant chemotherapy, and to identify predictors of delay.

A cross-sectional study was conducted among breast cancer patients seen between January 1, 2012 to December 31, 2018. The following outcomes were investigated: ≥90 days from initial diagnosis to surgery, ≥8 weeks from diagnosis to initiation of neoadjuvant chemotherapy, and >120 days from diagnosis to initiation of adjuvant chemotherapy. Summary statistics were reported as percent for categorical data and as mean for continuous data. The individual correlations were performed using Chi-square for qualitative data and t-test for quantitative data while predictors were determined through logistic regression.

A total of 324 patients were included in this study. The majority of the patients were less than 65 years old living in urban areas. More than half of the patients were overweight or obese, hypertensive, and diabetic. The following delays were observed: 61.1% (n = 198) with any type of delay, 23.8% (n = 53) with delay in surgery, 53.8% (n = 120) with delay in adjuvant chemotherapy, and 74.3% (n = 75) with delay in neoadjuvant chemotherapy. The patients noted to have any type of delay were more likely to be hypertensive (p = 0.046) and residing in urban areas (p = 0.041). There were no differences in the distribution of age, body mass index, and presence of co-morbid conditions such as hypertension, diabetes mellitus, coronary artery disease, and heart failure among those with any form of delay compared with no delay.

The present study shows the presence of treatment delay among breast cancer patients and may be used to enact policy changes to optimize breast cancer care delivery. Further studies may be done to identify other factors affecting these delays and policy changes are recommended to address these gaps in surgery and chemotherapy administration among breast cancer patients.

Study on the mechanism of Fangxia Dihuang Formula(FXDH) in treating breast cancer complicated with depression through the regulation of M1/M2 microglial polarization via the PERK/eIF2α axis. In addition to control group and 4T1 group, a mouse model of breast cancer complicated with depression was established using 4T1 cells combined with corticosterone. The mice were divided into model group, PERK/eIF2α signaling axis agonist(CCT020312, 2 mg·kg~(-1)·d~(-1)) group, CCT020312(2 mg·kg~(-1)·d~(-1)) + FXDH(13.65 g·kg~(-1)·d~(-1)) group, FXDH(13.65 g·kg~(-1)·d~(-1)) group, FXDH(13.65 g·kg~(-1)·d~(-1)) + Capecitabine Tablets(CAP, 390 mg·kg~(-1)·d~(-1)) group, and Fluoxetine Hydrochloride Capsules(FXT, 2.6 mg·kg~(-1)·d~(-1)) + CAP(390 mg·kg~(-1)·d~(-1)) group, with continuous intervention for 21 d. Depression-like behaviors in mice were assessed through sugar preference test and open field test. Hematoxylin-eosin(HE) staining was used to evaluate the morphology of tumor and hippocampal DG region neurons. Nissl staining was employed to detect changes in Nissl bodies in the hippocampal CA3 region. Immunofluorescence was used to observe cluster of differentiation 86(CD86)/ionized calcium-binding adapter molecule 1(Iba-1) and cluster of differentiation 206(CD206)/Iba-1 in hippocampal tissue. Real-time fluorescence quantitative polymerase chain reaction(RT-qPCR) was used to detect the mRNA expression of M1-type microglia [interleukin-6(IL-6), tumor necrosis factor-α(TNF-α)] and M2-type [arginase-1(Arg-1), IL-10] in hippocampal tissue. Western blot was used to detect the protein expression of key factors in the PERK/eIF2α axis, including PERK, eIF2α, activating transcription factor 4(ATF4), and C/EBP homologous protein(CHOP) in hippocampal tissue. The results showed that compared to model group/CCT020312 + FXDH group, FXDH group increased sugar preference index, total movement distance, central zone distance, and central zone entries; reduced tumor mass and volume; tumor cells were sparsely arranged, with a smaller nuclear-to-cytoplasmic ratio and reduced nuclear division figures, increased Nissl body count, and alleviated neuronal nuclear pyknosis; increased CD206-positive M2-type microglia expression, decreased CD86/Iba-1-positive M1-type microglia expression; reduced IL-6 and TNF-α mRNA expression, and increased Arg-1 and IL-10 mRNA expression; downregulated PERK, eIF2α, ATF4, and CHOP protein expression levels. The results indicate that the mechanism of FXDH in treating breast cancer complicated with depression may be related to inhibiting the activity of the PERK/eIF2α axis, reducing the proportion of M1-type microglia, increasing the proportion of M2-type microglia, thereby suppressing neuronal immune inflammation, improving depressive symptoms, and subsequently delaying the progression of breast cancer.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Female ; Microglia/cytology* ; Mice ; Depression/complications* ; eIF-2 Kinase/genetics* ; Humans ; Breast Neoplasms/psychology* ; Eukaryotic Initiation Factor-2/genetics* ; Mice, Inbred BALB C ; Signal Transduction/drug effects* ; Cell Line, Tumor

The accurate segmentation of breast ultrasound images is an important precondition for the lesion determination. The existing segmentation approaches embrace massive parameters, sluggish inference speed, and huge memory consumption. To tackle this problem, we propose T ²KD Attention U-Net (dual-Teacher Knowledge Distillation Attention U-Net), a lightweight semantic segmentation method combined double-path joint distillation in breast ultrasound images. Primarily, we designed two teacher models to learn the fine-grained features from each class of images according to different feature representation and semantic information of benign and malignant breast lesions. Then we leveraged the joint distillation to train a lightweight student model. Finally, we constructed a novel weight balance loss to focus on the semantic feature of small objection, solving the unbalance problem of tumor and background. Specifically, the extensive experiments conducted on Dataset BUSI and Dataset B demonstrated that the T ²KD Attention U-Net outperformed various knowledge distillation counterparts. Concretely, the accuracy, recall, precision, Dice, and mIoU of proposed method were 95.26%, 86.23%, 85.09%, 83.59%and 77.78% on Dataset BUSI, respectively. And these performance indexes were 97.95%, 92.80%, 88.33%, 88.40% and 82.42% on Dataset B, respectively. Compared with other models, the performance of this model was significantly improved. Meanwhile, compared with the teacher model, the number, size, and complexity of student model were significantly reduced (2.2×10 ⁶ vs. 106.1×10 ⁶, 8.4 MB vs. 414 MB, 16.59 GFLOPs vs. 205.98 GFLOPs, respectively). Indeedy, the proposed model guarantees the performances while greatly decreasing the amount of computation, which provides a new method for the deployment of clinical medical scenarios.
Humans ; Breast Neoplasms/diagnostic imaging* ; Female ; Ultrasonography, Mammary/methods* ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Neural Networks, Computer ; Breast/diagnostic imaging*

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

Amino acid metabolism plays a critical role in the progression and development of breast cancer. Cancer cells, including those in breast cancer, reprogram amino acid metabolism to meet the demands of rapid proliferation, survival, and immune evasion. This includes alterations in the uptake and utilization of amino acids, such as glutamine, serine, glycine, and arginine, which provide essential building blocks for biosynthesis, energy production, and redox homeostasis. Notably, the metabolic phenotypes of breast cancer cells vary across molecular subtypes and disease stages, emphasizing the need for patient stratification and personalized therapeutic strategies. Advances in multi-level diagnostics, including phenotyping and predictive tools, such as AI-based analysis and body fluid profiling, have highlighted the potential for tailoring treatments to individual metabolic profiles. Enzymes, such as glutaminase and serine hydroxymethyltransferase, often upregulated in breast cancer, represent promising therapeutic targets. Understanding the interplay between amino acid metabolism and breast cancer biology, alongside the integration of personalized medicine approaches, can uncover novel insights into tumor progression and guide the development of precision therapies. This review explores the metabolic pathways of amino acids in breast cancer, with a focus on their implications for personalized treatment strategies.
Humans ; Breast Neoplasms/therapy* ; Female ; Amino Acids/metabolism*

OBJECTIVES

The aim of the study is to estimate the cost of breast cancer diagnosis, treatment, and management in the Philippines. Specifically, it aims to identify the resource requirements and interventions related to breast cancer diagnosis, treatment, and management, measure resource volumes (number of units), learn to value resource items (unit costs), and determine the total cost of treatment per disease stage.

The study covered nine tertiary hospitals, seven of which were government hospitals and two were private hospitals, with all tertiary hospitals providing breast cancer services and accredited by Philippine Health Insurance Corporation (PHIC or PhilHealth) for the Z-Benefit Package. Interventions and services related to breast cancer included radiographic procedures, laboratory and imaging tests, chemotherapy drugs and medications, medical and surgical supplies, surgical rates (for breast surgery), accommodation, staff time and salary/professional fees, and other procedure fees. The study conducted in 2022, examined cost prices of breast cancer interventions and services from stage 1–3B.

Purposive and convenience sampling were used based on PhilHealth accreditation and willingness of hospitals to participate in the study. The study conducted a focus group discussion with oncologists, radiologists, anesthesiologists, and other health care providers to validate the clinical guideline used and to solicit inputs to the costing design, analysis framework, and tools for data collection. Data collection of financial cost information (charge price) was conducted using a set of costing matrices filled out by the various departments of the hospitals. Costs and median rates were calculated across hospitals on diagnostics and imaging tests, surgery costs of both public and private facilities, medical treatment, and radiotherapy.

Breast MRI, Breast Panel, and Chest CT Scan are the top 3 most expensive diagnostic procedures ranging from PhP 8,102.00 to PhP 9,800.00 per procedure. Surgical procedures for breast cancer at private hospitals and public hospitals showed huge differences in costs. The cost of a cycle of chemotherapy ranges from PhP 596.70 to PhP 3,700.00 per session, while the cost of targeted therapy can cost up to PhP 46,394.21 per session. A year of hormone therapy ranges from PhP 3,276.00 with the use of Tamoxifen, and up to PhP 68,284.00 with Goserelin. Aromatase inhibitors such as Anastrozole and Letrozole cost from PhP 18,000 to PhP 36,000, respectively. Multiple cycles depending on the diagnosis are prescribed per patient and used in combination with other chemotherapy medications or other therapies such as targeted therapy and hormone therapy are usually taken daily up to 5 to 10 years. Conventional radiotherapy can cost up to PhP 88,150.00 covering 28 sessions, CT simulation, and CT planning.

This cost study provides relevant information and better perspective on benefit development for the PHIC, policy development for Department of Health on where and how to focus their support for the patient’s financial preparedness to address medical and f inancial catastrophes.

PhilHealth needs to guide the health care providers of their costing method and to develop their own integrated, interoperable, and comprehensive cost data library.

It recommends that the government allocate budget and cover for screening and assessment for earlier stage diagnosis of patients and lower health expenditure costs on cancer treatment.

OBJECTIVES

The influence of weight change on the response to neoadjuvant chemotherapy (NAC) among adult Filipino patients with breast cancer remains unclear. Currently, there has been increasing evidence that weight gain during NAC is associated with increased recurrence risk and decreased survival. This study aimed to investigate this relationship and identify significant predictors of pathologic complete response (pCR), overall survival (OS) and disease-free survival (DFS).

This is a retrospective study using data from 52 female patients who received NAC for stage II or III breast cancer and had complete records of weight before and after NAC. Significant predictors of pCR such as host factors and tumor characteristics and associations between weight change and pCR, OS and DFS were examined using univariate and multivariable logistic regression analyses.

The average weight of all patients before NAC was 57.0 kg while the average weight of all patients after NAC was 59.5 kg. The average BMI of all patients before NAC was 25.8 kg/m2. In total, 29 patients (55.8%) were classified in the overweight/obese (OW/OB) group, and the rest were classified in the normal weight/underweight (NW/UW) group. The pCR rate was 51.3% in the OW/OB group versus 48.7% in the NW/UW group (p = 0.11). Initial BMI was a significant factor for achieving pCR (hazard ratio, 3.85; 95% confidence interval [CI], 1.72-8.60, p = 0.001), suggesting that a higher initial BMI was associated with an increased likelihood of achieving pCR. Initial BMI was also an independent prognostic factor for OS (p = 0.0006) and DFS (p = 0.0005). On the other hand, no significant correlation was seen between pCR rates as well as OFS and DFS (p = 0.0551) among patients whose weight changed during the course of treatment.

These findings suggest that while initial weight may significantly predict pCR rates and affect DFS and OS, weight change during treatment may not be as influential. Further research is needed to validate these findings in more diverse and larger patient populations.

OBJECTIVES

The aim of the study is to estimate the cost of breast cancer diagnosis, treatment, and management in the Philippines. Specifically, it aims to identify the resource requirements and interventions related to breast cancer diagnosis, treatment, and management, measure resource volumes (number of units), learn to value resource items (unit costs), and determine the total cost of treatment per disease stage.

The study covered nine tertiary hospitals, seven of which were government hospitals and two were private hospitals, with all tertiary hospitals providing breast cancer services and accredited by Philippine Health Insurance Corporation (PHIC or PhilHealth) for the Z-Benefit Package. Interventions and services related to breast cancer included radiographic procedures, laboratory and imaging tests, chemotherapy drugs and medications, medical and surgical supplies, surgical rates (for breast surgery), accommodation, staff time and salary/professional fees, and other procedure fees. The study conducted in 2022, examined cost prices of breast cancer interventions and services from stage 1–3B.

Purposive and convenience sampling were used based on PhilHealth accreditation and willingness of hospitals to participate in the study. The study conducted a focus group discussion with oncologists, radiologists, anesthesiologists, and other health care providers to validate the clinical guideline used and to solicit inputs to the costing design, analysis framework, and tools for data collection. Data collection of financial cost information (charge price) was conducted using a set of costing matrices filled out by the various departments of the hospitals. Costs and median rates were calculated across hospitals on diagnostics and imaging tests, surgery costs of both public and private facilities, medical treatment, and radiotherapy.

Breast MRI, Breast Panel, and Chest CT Scan are the top 3 most expensive diagnostic procedures ranging from PhP 8,102.00 to PhP 9,800.00 per procedure. Surgical procedures for breast cancer at private hospitals and public hospitals showed huge differences in costs. The cost of a cycle of chemotherapy ranges from PhP 596.70 to PhP 3,700.00 per session, while the cost of targeted therapy can cost up to PhP 46,394.21 per session. A year of hormone therapy ranges from PhP 3,276.00 with the use of Tamoxifen, and up to PhP 68,284.00 with Goserelin. Aromatase inhibitors such as Anastrozole and Letrozole cost from PhP 18,000 to PhP 36,000, respectively. Multiple cycles depending on the diagnosis are prescribed per patient and used in combination with other chemotherapy medications or other therapies such as targeted therapy and hormone therapy are usually taken daily up to 5 to 10 years. Conventional radiotherapy can cost up to PhP 88,150.00 covering 28 sessions, CT simulation, and CT planning.

This cost study provides relevant information and better perspective on benefit development for the PHIC, policy development for Department of Health on where and how to focus their support for the patient’s financial preparedness to address medical and f inancial catastrophes.

PhilHealth needs to guide the health care providers of their costing method and to develop their own integrated, interoperable, and comprehensive cost data library.

It recommends that the government allocate budget and cover for screening and assessment for earlier stage diagnosis of patients and lower health expenditure costs on cancer treatment.

OBJECTIVE: To observe the effect of transcutaneous electrical acupoint stimulation (TEAS) on postoperative pain in patients undergoing modified radical mastectomy for breast cancer. METHODS: A total of 140 female patients scheduled for unilateral modified radical mastectomy for breast cancer undergoing general anesthesia were randomized into a TEAS group (70 cases) and a sham TEAS group (70 cases, 2 cases dropped out). Patients in both groups received TEAS or sham TEAS at bilateral Neiguan (PC6), Zusanli (ST36), and Danzhong (CV17), respectively, from 30 min before anesthesia induction until the end of surgery, and on 1st, 2nd, and 3rd days after surgery for 30 min a time, once a day. On 1st, 2nd, and 3rd days after surgery, the pain visual analogue scale (VAS) score was observed; on 3, 6, 12 months after surgery, the incidence rate of chronic pain was observed; before surgery, and on 1st, 3rd, and 7th days after surgery, the serum levels of tumor necrosis factor (TNF)-α, interleukin (IL)-6 and IL-10 were detected; the number of analgesia pump press, rescue analgesia, and the occurrence of adverse reaction after surgery were recorded in the two groups. RESULTS: In the TEAS group, the VAS scores on 1st and 2nd days after surgery, and the incidence rates of chronic pain on 3 and 6 months after surgery were lower than those in the sham TEAS group (P<0.05). On 1st, 3rd, and 7th days after surgery, the serum levels of TNF-α, IL-6, and IL-10 were increased compared with those before surgery in both groups (P<0.05, P<0.01); the above indexes in the TEAS group were lower than those in the sham TEAS group (P<0.05). The number of analgesia pump press and the incidence rate of rescue analgesia after surgery in the TEAS group were lower than those in the sham TEAS group (P<0.05). There was no statistically significant difference in the incidence of adverse reactions after surgery between the two groups (P>0.05). CONCLUSION TEAS can effectively improve both the postoperative acute pain and chronic pain in patients undergoing modified radical mastectomy for breast cancer, the mechanism may relate to inhibiting the inflammatory reaction.
Humans ; Female ; Acupuncture Points ; Pain, Postoperative/blood* ; Middle Aged ; Breast Neoplasms/surgery* ; Adult ; Transcutaneous Electric Nerve Stimulation ; Mastectomy, Modified Radical/adverse effects* ; Interleukin-6/blood* ; Tumor Necrosis Factor-alpha/blood* ; Interleukin-10/blood* ; Aged

INTRODUCTION: Pregnancy-associated breast cancer (PABC) is described as breast cancer diagnosed within pregnancy or within 1 year postpartum. PABC is becoming more common due to delayed childbearing, with older maternal age increasing the likelihood of tumorigenesis coinciding with pregnancy. Our review aims to outline the important principles of managing PABC, and discusses future fertility implications, genetic testing and postnatal considera-tions that are not often considered in other existing reviews. METHOD: A literature search was conducted using PubMed, Cochrane and Google Scholar databases. RESULTS: A persistent breast mass in pregnant women should be evaluated with a breast ultrasound. Total mastectomy is the standard treatment in the first trimester. Chemotherapy is contraindicated in the first trimesters, but can be given in the second and third trimester, and stopped before 35 weeks. Radiotherapy should be delayed until delivery, and hormone receptor therapy is contraindicated in pregnancy. A multidisciplinary team involving an obstetrician, medical oncologist and other allied health professionals is crucial. Delivery should be planned as close to 37 weeks as possible, and at least 3 weeks after the last chemotherapy cycle. Vaginal delivery is preferred, and breastfeeding can resume 14 days after the last chemotherapy regime. CONCLUSION A breast mass in a pregnant woman should not be dismissed. PABC must be managed by multidisciplinary teams at tertiary medical centres with access to surgery and chemoradiation therapies. Management strategies must include safe manage-ment and delivery of the fetus, contraception and future fertility planning.
Humans ; Female ; Pregnancy ; Breast Neoplasms/diagnosis* ; Pregnancy Complications, Neoplastic/diagnosis* ; Mastectomy ; Delivery, Obstetric