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.

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.

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.

Female ; Humans ; Breast Neoplasms ; Testosterone ; Prolactin ; Estradiol ; Testosterone Congeners ; China

In the last decade, artificial intelligence (AI) has been increasingly used in various fields of medicine. Recently, the advent of whole slide images (WSI) or digitized slides has paved the way for AI-based anatomic pathology. This paper set out to review the potential integration of AI algorithms in the workflow, and the utilization of AI in the practice of breast pathology.
Artificial Intelligence ; Breast Neoplasms

This is a case report of a 76-year-old Filipino male who presented with a six-year history of a steadily growing left breast mass. The mass was eventually diagnosed to be Invasive Ductal Carcinoma, Anatomic and Prognostic Stage IIIB (T4b cN0 M0), Grade 3, Luminal A. Subsequently, the patient underwent neoadjuvant chemotherapy of doxorubicin/cyclophosphamide and paclitaxel, followed by modified radical mastectomy with axillary lymph node dissection, concluded by post-mastectomy radiation therapy. The patient had complete clinical response to this trimodality therapy. The rarity of this case is juxtaposed and integrated with the present literature on male breast cancer.
Breast Neoplasms, Male

Humans ; Female ; Receptors, Estrogen/metabolism* ; Breast Neoplasms/metabolism* ; Receptors, Progesterone/metabolism* ; Immunohistochemistry ; Estrogen Receptor alpha

Background: The effect of treatment delays on the quality of life of breast cancer patients undergoing radiotherapy remains to be seen, especially from quarantine measures implemented during the COVID-19 pandemic. Objective: The objective of this study is to assess the health-related quality of life (HR-QOL) of breast cancer patients referred for radiotherapy during the COVID-19 pandemic. Methodology: This cross-sectional analysis included histopathologically proven breast cancer patients referred for radiotherapy at the Philippine General Hospital from June to October 2020. The University of the Philippines-Department of Health Quality of Life Scale for Cancer Patients was used to assess the HR-QOL of the respondents across five domains. Results: A total of 60 respondents (median age of 52, range 33-71) were surveyed and eligible for analysis. College degree holders and good performers were associated with higher HR-QOL scores (p=0.008). The median interval from diagnosis to survey was 10.7 (SD±6.18) months and a longer illness duration was detrimental to HR-QOL. Overall, the global HR-QOL score was high (80.0% of respondents, HR-QOL score of 5.38±0.46). This was observed in all, except for the cognitive domain where HR-QOL was moderate among respondents (4.24±0.76). Conclusion This assessment was conducted within seven months into the pandemic, when an overall high HR-QOL score was observed among breast cancer patients. With further restrictions in treatment census encountered during the pandemic, strategies are recommended to address these indicators of health related QOL in this patient population through equitable and prompt access to needed care, such as radiotherapy.
Breast Neoplasms ; COVID-19 ; Quality of Life ; Radiotherapy

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

This is a case of a 54-year-old, perimenopausal, Asian, woman, who presented with an enlarging left breast mass associated with whitish to bloody nipple discharge. A core needle biopsy, done in another institution, showed histologic findings of a mucinous carcinoma with triple negative “basal-like” biomarker status (ER, PR, HER2/neu). Six cycles of neoadjuvant chemotherapy were given after which the subsequent modified radical mastectomy revealed a centrally located, 10.0 cm, well-circumscribed, nodular, ovoid mass on gross examination. Microscopic findings showed tall columnar cells in stratification, tufts and papillary formations, with surrounding abundant extracellular mucin. The individual tumor cells exhibit enlarged, hyperchromatic, basally located nuclei with prominent nucleoli, abundant amphophilic and occasionally oncocytic cytoplasm which contains intracytoplasmic mucin. Based on the histologic features, “basal-like” biomarker expression, and additional immunohistochemical studies (positive CK7, negative CK20 and CDX2), this case demonstrates a pure mucinous cystadenocarcinoma of the breast. In addition to the rare histologic type, this case is exceptional since, despite multiple cycles of neoadjuvant chemotherapy, presence of extensive lymphovascular invasion and axillary lymph node involvement with extranodal extension remain evident.
Cystadenocarcinoma, Mucinous ; Breast Neoplasms