The study aims to explore the predictive value of the Ki67 index for everolimus efficacy in patients with hormone receptor-positive and human epidermal growth factor receptor 2-negative (HR+/HER2-) advanced breast cancer (ABC). We collected data on 2,518 cancer patients who received everolimus treatment from three cancer centers in China. Their clinicopathologic characteristics were retrospectively collected. A training cohort and a validation cohort were developed. A total of 300 patients with HR+/HER2- ABC were included in the study, with 200 patients in the training cohort and 100 patients in the validation cohort. When analyzing the Ki67 index from 14% to 50%, only the Ki67 cut-off of 40% was found to be significantly correlated with progression-free survival (PFS) for patients in the training cohort. Multivariate Cox analyses further showed that Ki67 index of 40% (p=0.03) was significantly associated with PFS in patients treated with everolimus. Patients with Ki67 less than 40% had an improved PFS of 7.0 months, significantly better than 4.6 months for patients with Ki67 more than 40% (p=0.03, HR=0.67, 95CI%=0.46-0.97). In the validation cohort, patients with a Ki67 index of less than 40% had a significantly longer PFS of 4.3 months (2.1 months versus 4.3 months, p<0.001, HR=0.29, 95CI%=0.17-0.51). The Ki67 cut-off value of 40% was identified as an optimal index for predicting the efficacy of everolimus, which may help with the management of everolimus in Chinese patients with HR+/HER2- ABC.

To elucidate how Salidroside-loaded, oligopeptide-modified tumor exosomes (Salidroside@T-exo) rewire the PI3K/AKT/mTOR axis to remodel the immune microenvironment (IME) and reverse acquired PD-1 resistance in breast cancer. CSC-exosomes were surface-engineered with TMTP1 peptide and electroporated with Salidroside. PD-1-resistant MA782/5s-8101-R cells and an orthotopic mouse model were used. Multi-omics, flow cytometry, ELISA, immunofluorescence, in vivo imaging, and molecular assays examined immune and signaling outcomes. Salidroside@T-exo restored T-cell IFN-γ and GZMB secretion, suppressed CD8+ T-cell apoptosis, and inhibited p-PI3K/p-AKT/p-mTOR in T cells. CSC migration, invasion, and stemness (OCT4, NANOG, SOX2) were markedly reduced. Tumor growth, Ki-67 index, and CSC frequency dropped while TUNEL-positive cells rose. Salidroside@T-exo reverses PD-1 blockade resistance by simultaneously inhibiting PI3K/AKT/mTOR signaling in T cells and eradicating breast CSCs, offering a clinically translatable strategy for refractory breast cancer immunotherapy.

Arm lymphedema is a common, debilitating complication in patients with breast cancer undergoing postoperative radiotherapy (PORT). Although clinical and dosimetric factors have been used for risk prediction, radiomics offers a novel approach for improving the predictive accuracy. We designed a predictive model for lymphedema using clinical, dosimetric, and radiomic features. We included 532 patients (399 training and 133 testing) who underwent breast cancer surgery followed by PORT. Radiomic features were extracted from axillary levels I, II, III, and supraclavicular regions, which were automatically contoured on PORT-planning computed tomography scans. Least absolute shrinkage and selection operator regression was used for feature selection. Model performance was evaluated using the area under the curve (AUC), accuracy, sensitivity, and specificity. The Combined model integrating clinical, dosimetric, and radiomic features showed higher predictive performance (AUC: training 0.783, test 0.767, total 0.779) than the Clinical/Dosimetric (AUC: training 0.730, test 0.671, total 0.717) and Radiomics-only (AUC: training 0.721, test 0.668, total 0.708) models. The Combined model also achieved a higher accuracy (training 78.9%, test 78.2%, total 78.8%), sensitivity (training 74.6%, test 62.5%, total 72.0%), and specificity (training 79.7%, test 80.3%, total 79.9%) than the other models. DeLong's test confirmed that the Combined model significantly outperformed the Clinical/Dosimetric model (p=0.036 in training and p=0.010 in all datasets). Integrating radiomic features with clinical and dosimetric factors showed potential to enhance lymphedema prediction in patients with breast cancer receiving PORT. This model can potentially guide personalized treatment strategies and improve patient outcomes.

Patients undergoing adjuvant chemotherapy often utilize non‑treating medical institutions (NTMIs) for supportive care. We investigated utilization patterns and associated clinical factors. In this prospective observational study, patients with solid tumors receiving adjuvant chemotherapy after curative resection were surveyed using SCNS-SF34, FACT-G, MDASI-K, and HADS at multiple timepoints. Associations between facility usage and survey scores were analyzed. Forty-four percent of participants used non-treating medical institutions during adjuvant chemotherapy. Patients with breast cancer and those with an ECOG performance status of 0 were more likely to use NTMIs. Higher SCNS-SF34 scores in the Physical & Daily Living domain were significantly associated with the number of NTMI use days. FACT-G, MDASI, and HADS-anxiety scores also showed associations, while dose intensity and emergency room visits did not. Patients receiving adjuvant chemotherapy frequently use NTMIs for unmet physical or emotional needs. Systematic approaches to symptom control and patient education within oncology settings may reduce unnecessary healthcare utilization.

Unplanned readmissions of patients with cancer increase healthcare costs and disrupt care. Although well-studied in surgical oncology, data on patients receiving active treatment for advanced cancer remain limited. This study examined the causes, clinical characteristics, and outcomes of unplanned readmissions. This retrospective, multicenter study included patients with advanced solid tumors from six South Korean university hospitals who had unplanned readmissions within 1 month of prior hospitalization in 2019. Patients with terminal cancer who did not receive active treatment were excluded. Readmissions were categorized as Cancer Progression (e.g., worsening symptoms), treatment-related (e.g., therapy complications), or other (e.g., non-cancer conditions). Additional unplanned hospital use within 1 month post-discharge was analyzed in survivors with 6-month follow-up data. Among the 542 patients, readmissions were classified as cancer progression (42.6%), treatment-related (37.3%), or other (20.1%). The cancer progression group had the longest hospital stay (median, 12 days) and the highest mortality (23.4%). The Treatment-Related group had shorter stays (8 days) and lower mortality (8.4%). Among the 445 survivors, 24.9% had unplanned hospital visits within 1 month post-discharge. Home discharge increased the likelihood of these events (adjusted odds ratio: 4.82 for readmissions, 2.65 for emergency department visits). Cancer progression was the leading cause of readmission and was associated with prolonged hospital stays and high mortality rates. Home discharge is a key predictor of early additional unplanned hospital visits, indicating the need for careful post-discharge monitoring in this population.

Childhood cancers are rare but clinically significant. Monitoring incidence and survival trends is essential for evaluating progress in cancer control and identifying areas for improvement. We analyzed cancer incidence and survival trends among individuals aged 0-19 years in Korea using data from the Korea Central Cancer Registry from 2001 to 2020. Cancer types were classified according to the International Classification of Childhood Cancer, third edition (ICCC-3). Age-standardized incidence rates (ASRs) and annual percent changes (APCs) were calculated. Relative survival rates (RSRs) were estimated and compared with data from the US. A total of 34,223 cancer cases were identified during the study period. The overall ASR was 151.3 per million person-years, with a significant increasing trend (APC 1.5%). Leukemias were the most common diagnostic group (ASR 43.7), followed by central nervous system tumors and lymphomas. Between 2001-2010 and 2011-2020, the 5-year and 10-year RSRs improved from 75.2% to 84.8% and from 72.7% to 82.7%, respectively. The largest survival gains were observed in leukemia (14.9 percentage points) and neuroblastoma (13.1 percentage points). Compared to SEER data, Korea showed similar overall survival trends, although differences remained by cancer type and age group. The incidence of childhood and adolescent cancers in Korea has increased, while survival has significantly improved over the past two decades. These findings highlight substantial progress in pediatric cancer care, while underscoring the need for targeted efforts for specific cancer subtypes and age groups.

Helicobacter pylori is the single most important risk factor for gastric cancer (GC). However, H. pylori eradication (HPE) does not eliminate risk of GC. To clarify the association of lifestyle factors with GC risk after HPE. Using the Korean National Health Insurance Services (NHIS) database, adult individuals who claimed HPE between 2010 and 2016 were analyzed. The adjusted hazard ratios (aHR) for GC were analyzed according to the lifestyle status including smoking (never; light [<10PY]; moderate [10-20PY]; heavy [≥20PY]), alcohol (none; mild [<30g/day]; heavy [30g/day]), and abdominal obesity by using Cox proportional hazard model. During a median follow-up period of 6.7 years, 9,754 individuals were newly diagnosed with GC among the total of 1,282,702 subjects. Compared with never smokers, moderate (aHR 1.12 [95%CI 1.04-1.20]) and heavy smokers (1.34 [1.27-1.42]) had greater risks of post-HPE GC with dose-response manner. Heavy drinkers had increased risk of GC (1.23 [1.15-1.32]) compared with non-drinkers, and those with abdominal obesity had slightly elevated GC risk compared with those without that (1.11 [1.06-1.15]). In subgroup analyses, those who had HPE at age ≥ 55 were shown to be more affected by the unhealthy lifestyles (smoking [p-for-interaction <0.01], alcohol [0.03], and abdominal obesity [0.03]). Also, male showed greater risk increase by smoking habit [p-for-interaction 0.02] than female. Unhealthy lifestyles like smoking, alcohol, and abdominal obesity were shown as risk factors for post-HPE GC. Those with late HPE were more likely to be affected by unhealthy lifestyles.

Breast cancer (BRCA)'s molecular heterogeneity complicates prognosis and treatment. Tumor Doubling Time (TDT), a critical growth rate metric with clinical and prognostic significance, offers untapped potential as a biomarker to decode heterogeneity and improve therapeutic strategies. Based on transcriptomic and clinical data from TCGA and GEO, this study analyzed BRCA. Through differential expression and survival analyses, differentially expressed tumor doubling time-related genes (TDTRGs) with prognostic significance were identified. Consensus clustering using these genes defined two molecular subtypes. A prognostic risk model was constructed and validated through LASSO and multivariate Cox regression. Comprehensive evaluation was performed on these molecular subtypes and risk groups, encompassing immune infiltration (ssGSEA, CIBERSORT, ESTIMATE), mutational burden, response to immunotherapy (IMvigor210), and drug sensitivity (CellMiner, pRRophetic). This study constructed and validated an 8 gene prognostic risk model demonstrating robust predictive performance in both training (AUCs: 1-year=0.703, 3-year=0.693, 5-year=0.671) and validation cohorts. The low-risk group showed significantly enhanced immune cell infiltration, elevated immune checkpoint expression, and improved response to immunotherapy. Conversely, the high-risk group displayed increased tumor purity, metabolic reprogramming (e.g., respiratory electron transport), genomic instability, higher tumor mutational burden, and differential drug sensitivity (e.g., resistance to Gemcitabine/Tamoxifen). This study establishes a novel TDTRGs framework for BRCA molecular classification and validated prognostic stratification. It reveals key disparities in immune microenvironment and genomic stability, enhancing understanding and guiding personalized therapeutic strategies.

Metastatic breast cancer (MBC) with severe hepatic dysfunction due to liver crisis presents a significant treatment challenge, as conventional chemotherapy often requires dose modifications, leading to reduced efficacy. The combination of platinum, 5-fluorouracil (5FU), and folinate (PFL) offers a rational treatment strategy. This study evaluates the efficacy and safety of PFL in MBC patients with liver crisis and explores predictive markers for treatment response. This retrospective cohort study, conducted at Taipei Veterans General Hospital, Taiwan, included 44 MBC patients with bilirubin ≥3 mg/dL treated between January 2015 and June 2024. Outcomes included bilirubin response rate (≥50% reduction from baseline), progression-free survival (PFS), overall survival (OS), and treatment-related adverse events. The AUC analysis was used to determine the optimal cutoff for liver function assessment model, and Cox regression identified independent prognostic factors. Among the 44 patients, 47.7% achieved a bilirubin response within a median of 19 days. Overall, the median PFS and OS were 1.4 and 1.9 months, respectively, but improved to 4.6 and 7.8 months in those achieving bilirubin response. The ORR was 22.7%, and the DCR was 29.5%. A FIB-4 score <9.1 predicted a 65% bilirubin response rate, while FIB-4 >9.1 was also an independent predictor of OS. Grade 3 adverse events occurred in 36.4% of patients. The PFL regimen is effective in MBC patients with severe liver crisis with hyperbilirubinemia. A FIB-4 score <9.1 may serve as a potential prognostic factor for bilirubin response and is associated with improved survival outcomes.

The Asia Pacific region is marked by healthcare diversity and economic disparity. To understand the utilization and reimbursement practices of next-generation sequencing (NGS) and other sequencing methods relevant to oncology clinical practice in the region, a semi-structured survey was undertaken of respondents from 11 countries represented by the Korean Society of Medical Oncology (KSMO) 2024 Young Oncologist Forum alumni. While 79% of respondents reported access to NGS at their institution, full government reimbursement was uncommon and varied by test type and clinical setting. Japan and South Korea offered the most comprehensive public coverage, including for circulating tumor deoxyribonucleic acid (ctDNA)-based liquid biopsy. Lower- and upper-middle-income countries, such as the Philippines, Indonesia, and India, reported no government reimbursement, thus relying on user-pay methods or private insurance payments. One marked barrier to NGS reimbursement was the prohibitive cost of tests (100%), followed by a limited budget to fund testing (79%), and then by policy or regulatory restrictions (50%). On a similar note, insurance coverage (93%) and patient income (86%) were key concerns regarding access and equity to tests. Test reimbursement (or lack thereof) and cost were cited almost universally as the most elevated concerns by the respondents. The findings demonstrated a wide disparity in access, funding and reimbursement of sequencing tests across the region. Addressing cost, improving reimbursement mechanisms, and building infrastructure capacity will be critical for the equitable integration of NGS into routine cancer care in the Asia-Pacific.