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.

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

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

OBJECTIVE: To explore the potential apoptotic mechanisms of 3 Morchella extracts (Morchella conica, Morchella esculenta and Morchella delicosa) on breast and colon cancer cell lines using apoptotic biomarkers. METHODS: Human breast cell line (MCF-7) and colon cancer cell line (SW-480) were treated with methanol and ethanol extracts of 3 Morchella species with concentration ranging from 0.0625 to 2 mg/mL. After that their effects on gene expression of apoptosis related markers (pro-apoptotic markers including Bax, caspase-3, caspase-7, and caspase-9, and the antiapoptotic marker including Bcl-2) were determined using reverse transcription polymerase chain reaction. RESULTS: All Morchella extracts reduced breast and colon cancer cells proliferation at half inhibitory concentration (IC₅₀) of 0.02 ±0.01 to 0.68 ±0.30 mg/mL. As expected, all Morchella extracts significantly increased gene expressions of Bax, caspase-3, caspase-7, and caspase-9 and downregulated the gene expression of Bcl-2 in MCF-7 and SW-480 cell lines (P<0.05). CONCLUSIONS Morchella extracts demonstrated significant anti-proliferative activity against breast and colon cancer cell lines via an apoptosis induction mechanism. Anticancer activity of Morchella extracts and activation of apoptosis in breast and colon cancer cells suggest that it may be used to develop chemotherapeutic agents against cancer in future.
Humans ; Apoptosis/genetics* ; Colonic Neoplasms/drug therapy* ; Breast Neoplasms/drug therapy* ; Cell Line, Tumor ; Cell Proliferation/drug effects* ; Plant Extracts/pharmacology* ; Gene Expression Regulation, Neoplastic/drug effects* ; MCF-7 Cells ; Ascomycota/chemistry*

Breast cancer is one of the most common and fatal malignancies among women worldwide, and its treatment efficacy is often limited by drug resistance and the presence of undruggable targets. Traditional small-molecule drugs have difficulty effectively modulating certain critical targets such as transcription factors and non-coding RNAs, necessitating new therapeutic strategies. Proteolysis-targeting chimeras (PROTACs) function by recruiting pathogenic proteins to the cellular ubiquitin-proteasome system, thereby inducing their specific degradation. In contrast, ribonuclease-targeting chimeras (RIBOTACs) utilize small-molecule ligands but bind to RNA and direct endogenous RNases to selectively degrade pathogenic RNA molecules. By employing a "degradation rather than inhibition" mechanism, targeting chimera technology broadens the druggable landscape and offers a novel precision therapeutic strategy for breast cancer, particularly for refractory and drug-resistant cases. This approach not only overcomes the limitations of traditional drugs, such as the absence of suitable binding sites or poor selectivity, but also reduces required dosages and potential adverse effects. Recent studies have preliminarily demonstrated the therapeutic potential of PROTACs and RIBOTACs in breast cancer, encompassing target design, mechanistic investigation, and preclinical as well as early clinical applications. Research into these technologies reveals their ability to tackle previously undruggable targets, thereby providing theoretical support for the development of safer and more effective precision therapies for breast cancer. In the future, with advances in drug delivery systems and clinical trials, PROTACs and RIBOTACs are expected to be used synergistically with immunotherapy and chemotherapy, offering breast cancer patients more promising comprehensive treatment options and potentially driving oncology toward broader intervention of undruggable targets.
Humans ; Breast Neoplasms/drug therapy* ; Female ; Proteolysis ; Ribonucleases/metabolism* ; Molecular Targeted Therapy/methods* ; Antineoplastic Agents/therapeutic use*

OBJECTIVES: To investigate the association of HOTAIR gene rs920778 single nucleotide polymorphism (SNP) with breast cancer susceptibility and response to HER2-targeted therapy in a Chinese population. METHODS: TaqMan probe-based real-time quantitative PCR was used for genotyping of the rs920778 locus (chr12:54,376,218) in peripheral blood genomic DNA from 287 breast cancer patients and 260 healthy individuals from northern Anhui Province. The genotype (GG, GT and TT) and allele (G/T) distribution frequencies were compared between the two groups to evaluate their association with breast cancer risk. Multivariate logistic regression analysis was conducted to assess the relationship between SNP at this locus and aggressive clinicopathological features (including tumor size, lymph node metastasis, ER/PR/HER2 status, and molecular subtypes) of breast cancer. For the HER2-positive subgroup, the association between rs920778 genotype and responses to dual-targeted therapy (trastuzumab [6 mg/kg q3w]+pertuzumab [420 mg q3w] + docetaxel [75 mg/m²]) was analyzed. The primary endpoints included pathological complete response rate (pCR), objective response rate (ORR), and progression-free survival (PFS). RESULTS: The TT genotype of rs920778 was associated with a significantly increased breast cancer susceptibility (OR=1.54, 95% CI: 1.09-2.19; P=0.017), an advanced tumor stage (P<0.001), lymph node metastasis (P<0.001), and the triple-negative subtype (P<0.001). In HER2-positive patients, TT genotype carriers had a markedly reduced objective response rate to dual HER2-targeted therapy (33.3% vs 89.3%, P=0.001) and a lower pathological complete response rate after neoadjuvant therapy (P=0.018). CONCLUSIONS The TT genotype of HOTAIR rs920778 serves as an independent risk factor for breast cancer susceptibility and aggressive progression in Chinese population and may predict the resistance to HER2-targeted therapies, suggesting its potential as a prognostic biomarker for precision oncology.
Adult ; Aged ; Female ; Humans ; Middle Aged ; Breast Neoplasms/drug therapy* ; Case-Control Studies ; China ; Drug Resistance, Neoplasm/genetics* ; Genetic Predisposition to Disease ; Genotype ; Polymorphism, Single Nucleotide ; Receptor, ErbB-2 ; RNA, Long Noncoding/genetics* ; East Asian People/genetics*

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*

Rationale/Objective: Neoadjuvant chemotherapy (NAC) is recommended for locally-advanced breast cancer (LABC) to improve resectability and provide in-vivo tumor response assessment. This study aimed to describe the clinical and pathologic tumor response of LABC patients after response-guided NAC. Methods: This is a retrospective cohort analysis of 128 LABC patients who underwent NAC using sequential doxorubicin/cyclophosphamide (AC) – docetaxel (T) regimen at the Philippine General Hospital Breast Care Center. Clinical and pathologic response rates were analyzed according to clinicopathologic variables including tumor intrinsic subtype. Results: Objective clinical response (complete and partial) was observed in 88% (111/128) of patients with 11% (14/128) achieving pathologic complete response (pCR). The hormone receptor-negative/ Her2-enriched (HR-/Her2+) subtype had the highest pCR rate (23.5%) followed by triple negative subtype (HR-/Her2-) at 19%. The hormone receptor-positive/Her2-positive (HR+/Her2+) subtype had the lowest pCR (4.7%). Two patients with initial poor response to AC but had good response upon shifting to T achieved pCR. Twelve patients (9.4%) had poor response to AC and T chemotherapy. Patients who were pre-menopausal (p=0.04), had ductal histology (p=0.03), with a HR-/Her2- (p=0.002) or HR+/Her2+ subtype (p=0.03) had good response to AC. Intrinsic subtype was not significantly associated with treatment response in those who received docetaxel. There was strong association between the pathologic and clinical responses (Spearman’s Rho score 0.69, p-value <0.0001). Conclusion Clinical and pathologic response to NAC was highly dependent on tumor subtype. Clinical response was predictive of pathologic response. Response-guided NAC allowed direct and early evaluation of tumor treatment response that allowed for treatment modifications.
Breast Neoplasms ; Neoadjuvant Therapy ; Drug Therapy