Population-Based Prognostic Models for Head and Neck Cancers Using National Cancer Registry Data from Taiwan.

PURPOSE: This study aims to raise awareness of the disparities in survival predictions among races in head and neck cancer (HNC) patients by developing and validating population-based prognostic models specifically tailored for Taiwanese and Asian populations. METHODS: A total of 49,137 patients diagnosed with HNCs were included from the Taiwan Cancer Registry (TCR). Six prognostic models, divided into three categories based on surgical status, were developed to predict both overall survival (OS) and cancer-specific survival using the registered demographic and clinicopathological characteristics in the Cox proportional hazards model. The prognostic models underwent internal evaluation through a tenfold cross-validation among the TCR Taiwanese datasets and external validation across three primary racial populations using the Surveillance, Epidemiology, and End Results database. Predictive performance was assessed using discrimination analysis employing Harrell's c-index and calibration analysis with proportion tests. RESULTS: The TCR training and testing datasets demonstrated stable and favorable predictive performance, with all Harrell's c-index values ≥ 0.7 and almost all differences in proportion between the predicted and observed mortality being < 5%. In external validation, Asians exhibited the best performance compared with white and black populations, particularly in predicting OS, with all Harrell's c-index values > 0.7. CONCLUSIONS: Survival predictive disparities exist among different racial groups in HNCs. We have developed population-based prognostic models for Asians that can enhance clinical practice and treatment plans.

Palbociclib sensitizes ER-positive breast cancer cells to fulvestrant by promoting the ubiquitin-mediated degradation of ER-α via SNHG17/Hippo-YAP axis.

PURPOSE: Endocrine therapy is the anti-tumor therapy for human breast cancer but endocrine resistance was a major burden. It has been reported that Palbociclib and fulvestrant can be used in combination for the treatment of patients who are experiencing endocrine resistance. However, the underlying mechanism is unclear. In this study, we aimed to investigate the mechanism by which Palbocicilib affected ER-positive breast cancer, combined with fulvestrant. METHODS: We first detected the effect of palbociclib on cell survival, growth and cycle distribution separately by MTT, colony formation and flow cytometry. Then SNHG17 was screened as palbociclib-targeted LncRNA by LncRNA-seq, and the SNHG17-targeted mRNAs were selected by mRNA-seq for further determination. Subsequently, the underlying mechanism by which palbociclib promoted the cytotoxicity of fulvestrant was confirmed by qRT-PCR, western blot, and immunoprecipitation. Eventually, the xenograft model and immunohistochemistry experiments were used to validate the sensitization effect of palbociclib on fulvestrant and its mechanism in vivo. RESULTS: Palbociclib significantly enhanced the cytotoxicity of fulvestrant in fulvestrant-resistant breast cancer cell lines. Interestingly, this might be related to the lncRNA SNHG17 and the Hippo signaling pathway. And our subsequent western blotting experiments confirmed that overexpressing SNHG17 induced the down-regulation of LATS1 and up-regulated YAP expression. Furthermore, we found that the increased sensitivity of breast cancer cells was closely associated with the LATS1-mediated degradation of ER-α. The following animal experiments also indicated that overexpressing SNHG17 obviously impaired the anti-cancer effect of co-treatment of palbociclib and fulvestrant accompanied by decreased LATS1 and increased ER-α levels. CONCLUSION: Palbociclib might sensitize the cytotoxicity of fulvestrant in ER-positive breast cancer cells by down-regulating SNHG17 expression, and then resulted in the LATS1-inactivated oncogene YAP and LATS1-mediated degradation of ER-α.

Looking Back: International Practice Patterns in Breast Radiation Oncology From a Case-Based Survey Across 54 Countries During the First Surge of the COVID-19 Pandemic.

PURPOSE: The COVID-19 pandemic has profoundly affected cancer care worldwide, including radiation therapy (RT) for breast cancer (BC), because of risk-based resource allocation. We report the evolution of international breast RT practices during the beginning of the pandemic, focusing on differences in treatment recommendations between countries. MATERIALS AND METHODS: Between July and November 2020, a 58-question survey was distributed to radiation oncologists (ROs) through international professional societies. Changes in RT decision making during the first surge of the pandemic were evaluated across six hypothetical scenarios, including the management of ductal carcinoma in situ (DCIS), early-stage, locally advanced, and metastatic BC. The significance of changes in responses before and during the pandemic was examined using chi-square and McNemar-Bowker tests. RESULTS: One thousand one hundred three ROs from 54 countries completed the survey. Incomplete responses (254) were excluded from the analysis. Most respondents were from the United States (285), Japan (117), Italy (63), Canada (58), and Brazil (56). Twenty-one percent (230) of respondents reported treating at least one patient with BC who was COVID-19-positive. Approximately 60% of respondents reported no change in treatment recommendation during the pandemic, except for patients with metastatic disease, for which 57.7% (636/1,103; P < .0005) changed their palliative practice. Among respondents who noted a change in their recommendation during the first surge of the pandemic, omitting, delaying, and adopting short-course RT were the most frequent changes, with most transitioning to moderate hypofractionation for DCIS and early-stage BC. CONCLUSION: Early in the COVID-19 pandemic, significant changes in global RT practice patterns for BC were introduced. The impact of published results from the FAST FORWARD trial supporting ultrahypofractionation likely confounded the interpretation of the pandemic's independent influence on RT delivery.

Prognostic Comparison between Oncotype DX® and a 23-Gene Classifier, RecurIndex®, on the Taiwan Breast Cancer Population.

The applicability of the Oncotype DX® (Genomic Health, Inc., Redwood City, CA, USA) recurrence score (RS) in Asian populations is unclear. A 23-gene classifier, RecurIndex® (Amwise Diagnostics, Pte. Ltd., Singapore), has been developed based on the gene expression profiles of early-stage breast cancer patients of ethnic Han Chinese population in Taiwan. This study aimed to compare the performance of the Oncotype DX® RS with the RecurIndex® recurrence index (RI) for predicting relapse-free survival. Therefore, we calculated both the RI and RS for 110 early stage breast cancer patients, with the cut-off value for high-risk recurrence set at 26 and 29 for the RS and the RI, respectively. With relapse-free interval (RFI) as the primary endpoint, the concordance between RS and RI was 78.2% (Kappa value = 0.297). For a median follow-up interval of 27 months, there was a statistically significant difference in RFI between the high- and low-risk groups defined by the RI (p = 0.04) but not between risk groups defined by the RS (p = 0.66). In conclusion, whereas there was high concordance between the RecurIndex® RI and the Oncotype DX RS, the current data showed that the RI had a better discrimination for recurrence risk than the RS. Subsequent studies with larger sample sizes will be needed to confirm the superiority of the RI over the RS in the Asian population.

Cost-Effectiveness Analysis from a Societal Perspective of Recurrence Index for Distant Recurrence (RecurIndex) in Women with Hormone Receptor-Positive and HER2-Negative Early-Stage Breast Cancer.

PURPOSE: A clinical-genomic prognostic multigene panel (RI-DR assay, RecurIndex®), predicting the risk level of distant recurrence (DR) in early-stage breast cancer (EBC) patients with an Asian background, has been validated as a valuable tool for identifying high-risk patients to develop distant recurrence (metastasis). Although the clinical benefit of adjuvant chemotherapy from the assay's prediction is already proved, its affordability remains uncertain. This study is the first time in which the long-term cost-effectiveness of the RI-DR assay is evaluated. PATIENTS AND METHODS: A lifetime Markov decision-analytic model was developed from a societal perspective to estimate the life-years gained (LYGs), quality-adjusted life-years (QALYs), medical costs, and incremental cost-effectiveness ratios (ICERs), comparing EBC women with and without RI-DR genomic testing. A decision tree was used to classify patients in one of the fifteen end nodes (by order, each arm was stratified by a patient being tested or not with the RI-DR assay, being treated or not with adjuvant chemotherapy and had no, minor, major, or fatal toxicity after adjuvant chemotherapy). Health utilities, costs, transition probabilities, and survival data were extracted from the scientific literature. Deterministic sensitivity analysis (DSA) and probabilistic sensitivity analysis (PSA) were performed on variables to assess the robustness of the model. A willingness-to-pay (WTP) threshold of 790,000 NT$ per QALY gained was considered as a cost-effectiveness criterion. RESULTS: The incremental cost per QALY gained under base-case assumptions of the model was 173,842 NT$. Findings on the variation in model input parameters were robust and confirmed that every key variable was cost-effective for the benefit of RI-DR testing. CONCLUSION: The clinical-genomic RI-DR assay is cost-effective in guiding adjuvant chemotherapy decisions compared to current clinical practice guidelines.

Comparison between the use of hypofractionated and conventionally fractionated radiotherapy in early breast cancer: A single-center real-world study in Taiwan.

BACKGROUND/PURPOSE: This study aimed to analyze the long-term outcomes of hypofractionated whole-breast irradiation (WBI) (HF-WBI) compared with those of conventionally fractionated WBI (CF-WBI) for early breast cancer treated with breast-conservation surgery (BCS) and adjuvant WBI in Taiwan. METHODS: This study included patients treated at our institution between 2012 and 2016. All patients with early breast cancer received BCS (pT1-2, pN0, M0) and adjuvant WBI through one of two treatment schemes. Propensity score matching analysis was conducted to create comparable cohorts. The major result is ipsilateral breast tumor recurrence (IBTR) rates and overall survival rates. RESULTS: A total of 869 patients with early-stage breast cancer received adjuvant HF-WBI or CF-WBI were included. After matching, 718 patients were separated into two groups of the same number. With a median follow-up of 66 months, seven cases of IBTR were noted (three for CF, four for HF). There were no significant differences between the HF-WBI and CF-WBI groups in 5-year IBTR rates (0.9% vs 0.6%, P = 0.3887, 95% CI [0.25-7.79]) and 5-year overall survival rates (98.1% vs 98.9%, P = 0.4702, 95% CI [0.32-3.49]). In our institution, the use of HF-WBI increased significantly from 5% before 2012 (Q3) to 92% in 2016 (Q4). There was no significant difference in grade 1-2 toxicity between the two treatment groups. Fewer cases of grade 3 skin toxicity noted in the HF-WBI group (zero vs four events). CONCLUSION: HF-WBI had similar IBTR, OS and toxicity to CF-WBI.

Predicting Colon Cancer-Specific Survival for the Asian Population Using National Cancer Registry Data from Taiwan.

PURPOSE: Colon cancer is the third most incident and life-threatening cancer in Taiwan. A comprehensive survival prediction system would greatly benefit clinical practice in this area. This study was designed to develop an accurate prognostic model for colon cancer patients by using clinicopathological variables obtained from the Taiwan Cancer Registry database. METHODS: We analyzed 20,218 colon cancer patients from the Taiwan Cancer Registry database, who were diagnosed between 2007 and 2015, were followed up until December 31, 2017, and had undergone curative surgery. We proposed two prognostic models, with different combinations of predictors. The first model used only traditional clinical features. The second model included several colon cancer site-specific factors (circumferential resection margin, perineural invasion, obstruction, and perforation), in addition to the traditional features. Both prediction models were developed by using a Cox proportional hazards model. Furthermore, we investigated whether race is a significant predictor of survival in colon cancer patients by using Model 1 on the Surveillance, Epidemiology, and End Results (SEER) cancer registry dataset. RESULTS: The proposed models displayed a robust prediction performance (all Harrell's c-index >0.8). For both the calibration and validation steps, the differences between the predicted and observed mortality were mostly less than 5%. CONCLUSIONS: The prediction model (Model 1) is an effective predictor of survival regardless of the ethnic background of patients and can potentially help to provide better prediction of colon cancer-specific survival outcomes, thus allowing physicians to improve treatment plans.

Risk evaluation of early-stage hormone receptor-positive and human epidermal growth factor receptor 2-negative breast cancer patients: a population-based study from Taiwan.

PURPOSE: To assess the prognostic value of the Dutch criteria for patients with early-stage hormone receptor-positive and human epidermal growth factor receptor 2-negative breast cancer from the Taiwan Cancer Registry Database. PATIENTS AND METHODS: We included 8295 patients with early-stage node-negative breast cancer who underwent surgery during January 2008-December 2012. Patients were stratified into low- and high-risk groups based on the Dutch criteria. The Kaplan-Meier method and log-rank test were used to estimate the difference in breast cancer-specific survival (BCSS) and overall survival (OS) between groups. Multivariable analysis was used to evaluate the prognostic value of the Dutch criteria. RESULTS: Overall, the low-risk and high-risk groups comprised 5375 and 2920 patients, respectively. In the low- and high-risk groups, the 5-year BCSS rate was 99.6% and 98.2% (P < 0.0001) and the 5-year OS rate was 98.3% and 96.8% (P < 0.0001), respectively. The hazard ratio for BCSS was 4.18 (95% confidence interval [CI] 2.63-6.63, P < 0.0001), and the hazard ratio for OS was 1.94 (95% CI 1.48-2.55); both were significantly poorer in the high-risk group than in the low-risk group. In the low-risk group, the 5-year BCSS and OS of patients who did and did not receive adjuvant chemotherapy were similar (99.5% versus 99.6% [P = 0.927] and 98.8% and 98.1% [P = 0.0683], respectively). CONCLUSION: The prognosis of low-risk patients as classified using the Dutch criteria is excellent with or without adjuvant chemotherapy. The benefit of multi-gene testing for chemotherapy decision-making might be minimal in these patients.

Stereotactic body radiotherapy and checkpoint inhibitor for locally recurrent unresectable nasopharyngeal carcinoma.

The treatment of local recurrence of nasopharyngeal carcinoma (NPC) is challenging, and the role of reirradiation is controversial regarding the high risk for severe toxicity. Stereotactic body radiotherapy (SBRT) is a high-precision radiation technique that can spare surrounding normal tissues. Studies have demonstrated the high activity and low toxicity of both SBRT and anti-programmed-cell-death-1 immune checkpoint inhibitors for head and neck cancers. There has been preclinical and clinical evidence suggesting synergy between radiotherapy and checkpoint inhibitors. We report two patients with locally recurrent unresectable rT4 NPC both involving the retro-orbital areas. They received the same treatment with low-dose SBRT (28 Gy in 5 fractions) and pembrolizumab, and showed a remarkable tumour response without untoward radiation toxicity. SBRT plus an immune checkpoint inhibitor may provide a new treatment option for locally recurrent NPC. We propose further investigation with a formal clinical trial.

The use of moderately hypofractionated post-operative radiation therapy for breast cancer in clinical practice: A critical review.

Post-operative radiation therapy (RT) reduces loco-regional recurrence rates and mortality in most patients with non-metastatic breast cancer. The aim of this critical review is to provide an overview of the applicability of moderately hypofractionated RT for breast cancer patients, focusing on factors influencing clinical decision-making. An international group of radiation oncologists agreed to assess, integrate, and interpret the existing evidence into a practical report to guide clinicians in their daily management of breast cancer patients. We conclude that moderately hypofractionated RT to the breast, chest wall (with/without breast reconstruction), and regional lymph nodes is at least as safe and effective as conventionally fractionated regimens and could be considered as the treatment option for the vast majority of the patients.For those who are still concerned about its generalised application, we recommend participating in ongoing trials comparing moderately hypofractionated RT to conventionally fractionated RT for breast cancer patients in some clinical circumstances.

DGM-CM6: A New Model to Predict Distant Recurrence Risk in Operable Endocrine-Responsive Breast Cancer.

To investigate the prognostic value of DGM-CM6 (Distant Genetic Model-Clinical variable Model 6) for endocrine-responsive breast cancer (ERBC) patients, we analyzed 752 operable breast cancer patients treated in a Taiwan cancer center from 2005 to 2014. Among them, 490 ERBC patients (identified by the PAM50 or immunohistochemistry method) were classified by DGM-CM6 into low- and high-risk groups (cutoff <33 and ≥33, respectively). Significant differences were observed between the DGM-CM6 low- and high-risk groups for 10-year distant recurrence-free survival (DRFS) in both lymph node (LN)- (P < 0.05) and LN+ patients (P < 0.05). Multivariate analysis confirmed the independent strength of DGM-CM6 for the prediction of high- vs. low- risk groups for DRFS (P < 0.0001, HR: 6.76, 95% CI, 1.8-25.42) and overall survival (P = 0.01, HR: 6.06, 95% CI:1.55-23.47), respectively. In summary, DGM-CM6 may be used to classify low- and high-risk groups for 10-year distant recurrence in both LN- and LN+ ERBC patients in the Asian population. A large scale clinical trial is warranted.

A new clinical-genomic model to predict 10-year recurrence risk in primary operable breast cancer patients.

This study aimed to validate the long-term prognostic value of a new clinical-genomic model, Distant Genetic Model-Clinical Variable Model 6 (DGM-CM6), developed in Asia as a prognostic panel for all subtypes of breast cancer. We included 752 operable stage I-III breast cancer patients representing all subtypes treated from 2005 to 2014 as the validation cohort. The median follow-up was 95.8 months. The low- and high-risk patients classified by DGM-CM6 (RI-DR) had significant differences in 10-year distant recurrence-free interval (DRFI) (94.1% vs. 85.0%, P < 0.0001) and relapse-free survival (RFS) (90.0% vs. 80.5%, P = 0.0003). External validation using EMTAB-365 dataset showed similar observation (P < 0.0001). DGM-CM6 was an independent prognostic factor by multivariate analysis with hazard ratios of 3.1 (1.6-6.0) for RFS (P = 0.0009) and 3.8 (1.6-9.0) for DRFI (P = 0.0028). Comparing the C-index of DGM-CM6 and PAM50-ROR scores, the former performed better than the latter in predicting long-term DRFI and RFS, especially in N0, ER/PR-positive, and HER2-negative patients.

Development of a prediction model for breast cancer based on the national cancer registry in Taiwan.

BACKGROUND: This study aimed to develop a prognostic model to predict the breast cancer-specific survival and overall survival for breast cancer patients in Asia and to demonstrate a significant difference in clinical outcomes between Asian and non-Asian patients. METHODS: We developed our prognostic models by applying a multivariate Cox proportional hazards model to Taiwan Cancer Registry (TCR) data. A data-splitting strategy was used for internal validation, and a multivariable fractional polynomial approach was adopted for prognostic continuous variables. Subjects who were Asian, black, or white in the US-based Surveillance, Epidemiology, and End Results (SEER) database were analyzed for external validation. Model discrimination and calibration were evaluated in both internal and external datasets. RESULTS: In the internal validation, both training data and testing data calibrated well and generated good area under the ROC curves (AUC; 0.865 in training data and 0.846 in testing data). In the external validation, although the AUC values were larger than 0.85 in all populations, a lack of model calibration in non-Asian groups revealed that racial differences had a significant impact on the prediction of breast cancer mortality. For the calibration of breast cancer-specific mortality, P values < 0.001 at 1 year and 0.018 at 4 years in whites, and P values ≤ 0.001 at 1 and 2 years and 0.032 at 3 years in blacks, indicated that there were significant differences (P value < 0.05) between the predicted mortality and the observed mortality. Our model generally underestimated the mortality of the black population. In the white population, our model underestimated mortality at 1 year and overestimated it at 4 years. And in the Asian population, all P values > 0.05, indicating predicted mortality and actual mortality at 1 to 4 years were consistent. CONCLUSIONS: We developed and validated a pioneering prognostic model that especially benefits breast cancer patients in Asia. This study can serve as an important reference for breast cancer prediction in the future.

Clinical-Genomic Models of Node-Positive Breast Cancer: Training, Testing, and Validation.

PURPOSE: There is no useful model for predicting the risk of recurrence in node-positive patients regardless of breast cancer subtype. We developed and validated 2 clinical-genomic models (recurrence index [RI]-local recurrence [LR]) and RI-distant recurrence (RI-DR) for stratifying these patients into low- and high-risk groups. METHODS AND MATERIALS: The 4 data sets were (1) training group (n = 112); (2) testing group (n = 46); (3) validation group (n = 388); and (4) E-MTAB-365 data set (n = 426). Patients who had undergone mastectomy or breast-conserving surgery and mRNA microarray analysis of their primary tumor tissue and had a pathologic stage of I to III were enrolled in the training, testing, and validation groups. Using preset cut-offs obtained from the training group, the models were tested and validated in the 3 other independent groups. RESULTS: In the validation data set, the RI-LR distinguished between low- and high-risk groups according to 10-year LR-free interval (100% vs 93.0%, P = .015) and relapse-free survival (RFS; 85.0% vs 76.9%, P = .032). The RI-DR distinguished the low-risk group from the high-risk group according to RFS (85.7% vs 77.4%, P = .025). RI-DR and RI-LR scores were independent prognostic factors in N1-N2 patients (hazard ratio [HR], 3.3; 95% confidence interval, 1.1-10.2; and HR, 2.7; 95% confidence interval, 1.1-6.7, respectively) by multivariate analysis. The RI-DR and RI-LR genetic models were tested similarly using the E-MTAB data set with HRs of 2.5 (P = .0048) and 2.7 (P = .0285), respectively, in node-positive patients. CONCLUSIONS: Both RI-DR and RI-LR can partition N1-N2 patients into low- and high-risk groups for RFS; however, the latter is superior for predicting locoregional recurrence.

Protein arginine methyltransferase 3-induced metabolic reprogramming is a vulnerable target of pancreatic cancer.

BACKGROUND: The biological function of protein arginine methyltransferase 3 (PRMT3) is not well known because very few physiological substrates of this methyltransferase have been identified to date. METHODS: The clinical significance of PRMT3 in pancreatic cancer was studied by database analysis. The PRMT3 protein level of human pancreatic tumors was detected by immunoblotting and immunohistochemical staining. PRMT3-associated proteins and the methylation sites on the proteins were investigated using mass spectrometry. Seahorse Bioscience analyzed the metabolic reprogramming. Combination index analysis and xenograft animal model were conducted to explore the effects of combination of inhibitors of glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and oxidative phosphorylation on tumor growth. RESULTS: We found that the expression of PRMT3 is upregulated in pancreatic cancer, and its expression is associated with poor survival. We identified GAPDH as a PRMT3-binding protein and demonstrated that GAPDH is methylated at R248 by PRMT3 in vivo. The methylation of GAPDH by PRMT3 enhanced its catalytic activity while the mutation of R248 abolished the effect. In cells, PRMT3 overexpression triggered metabolic reprogramming and enhanced glycolysis and mitochondrial respiration simultaneously in a GAPDH-dependent manner. PRMT3-overexpressing cancer cells were addicted to GAPDH-mediated metabolism and sensitive to the inhibition of GAPDH and mitochondrial respiration. The combination of inhibitors of GAPDH and oxidative phosphorylation induced a synergistic inhibition on cellular growth in vitro and in vivo. CONCLUSION: Our results suggest that PRMT3 mediates metabolic reprogramming and cellular proliferation through methylating R248 of GAPDH, and double blockade of GAPDH and mitochondrial respiration could be a novel strategy for the treatment of PRMT3-overexpressing pancreatic cancer.

Survival without adjuvant chemotherapy for selected patients with stage II and III nasopharyngeal carcinoma after concurrent chemoradiotherapy alone.

BACKGROUND: The role of adjuvant chemotherapy after concurrent chemoradiotherapy (CRT) for nasopharyngeal carcinoma (NPC) is controversial. We report our phase II prospective study of withholding adjuvant chemotherapy in a subgroup of patients with American Joint Committee on Cancer (AJCC) stage II and III NPC with low risk for metastasis. METHODS: Between April 1998 and December 2008, 263 patients with stage II (AJCC 1997 T2aN0, T1-T2aN1; AJCC 2010 T1N1) NPC or stage III (AJCC 1997 T1-T2aN2; AJCC 2010 T1N2) NPC were enrolled. Patients received standard concurrent CRT with cisplatin and 5-fluorouracil (5-FU) but without adjuvant chemotherapy. RESULTS: With a median follow-up of 107 months, the 5-year overall survival (OS), disease-free survival (DFS), and distant metastasis-free survival (DMFS) were 92.4%, 84.4%, and 90.7% for all patients; 94.1%, 85.9%, and 92.9% for patients with stage II NPC; and 90.9%, 83.2%, and 88.9% for patients with stage III NPC, respectively. CONCLUSION: It is safe to withhold adjuvant chemotherapy for selected patients with stage II and III NPC.

Validation of the 18-gene classifier as a prognostic biomarker of distant metastasis in breast cancer.

We validated an 18-gene classifier (GC) initially developed to predict local/regional recurrence after mastectomy in estimating distant metastasis risk. The 18-gene scoring algorithm defines scores as: <21, low risk; ≥21, high risk. Six hundred eighty-three patients with primary operable breast cancer and fresh frozen tumor tissues available were included. The primary outcome was the 5-year probability of freedom from distant metastasis (DMFP). Two external datasets were used to test the predictive accuracy of 18-GC. The 5-year rates of DMFP for patients classified as low-risk (n = 146, 21.7%) and high-risk (n = 537, 78.6%) were 96.2% (95% CI, 91.1%-98.8%) and 80.9% (74.6%-81.9%), respectively (median follow-up interval, 71.8 months). The 5-year rates of DMFP of the low-risk group in stage I (n = 62, 35.6%), stage II (n = 66, 20.1%), and stage III (n = 18, 10.3%) were 100%, 94.2% (78.5%-98.5%), and 90.9% (50.8%-98.7%), respectively. Multivariate analysis revealed that 18-GC is an independent prognostic factor of distant metastasis (adjusted hazard ratio, 5.1; 95% CI, 1.8-14.1; p = 0.0017) for scores of ≥21. External validation showed that the 5-year rate of DMFP in the low- and high-risk patients was 94.1% (82.9%-100%) and 80.3% (70.7%-89.9%, p = 0.06) in a Singapore dataset, and 89.5% (81.9%-94.1%) and 73.6% (67.2%-79.0%, p = 0.0039) in the GEO-GSE20685 dataset, respectively. In conclusion, 18-GC is a viable prognostic biomarker for breast cancer to estimate distant metastasis risk.

Trend in and Correlates of Undergoing Radiotherapy in Taiwanese Cancer Patients' Last Month of Life.

CONTEXT: A significant proportion of cancer patients at end of life (EOL) undergo radiotherapy, but this evidence is not from nationwide population-based studies. OBJECTIVES: The aims of this population-based study were to investigate the trend in undergoing radiotherapy among Taiwanese cancer patients' last month of life (EOL radiotherapy) in 2001-2010 and to identify factors associated with EOL radiotherapy. METHODS: This was a population-based retrospective cohort study analyzing data from Taiwan's national death registry, cancer registry, and National Health Insurance claims for EOL radiotherapy using multilevel generalized linear mixed modeling. Participants were Taiwanese cancer patients (N = 339,546) who died in 2001-2010. RESULTS: Overall, 8.59% (7.97%-9.85%) of patients underwent EOL radiotherapy with a decreasing trend over time. Correlates of EOL radiotherapy included male gender, younger age, residing in less urbanized areas, diagnosis of lung cancer, metastatic disease, death within two years of diagnosis, and without comorbidities. Cancer patients were more likely to undergo EOL radiotherapy if they received primary care from medical oncologists and pediatricians, in a nonprofit, teaching hospital with a larger case volume of terminally ill cancer patients, and greater EOL care intensity. CONCLUSION: Approximately one-tenth of Taiwanese cancer patients underwent EOL radiotherapy with a decreasing trend over time. Undergoing EOL radiotherapy was associated with demographics, disease characteristics, physician specialty, and primary hospital's characteristics and EOL care practice patterns. Clinical and financial interventions should target hospitals/physicians that tend to aggressively treat at-risk cancer patients at EOL to carefully evaluate the appropriateness and effectiveness of using EOL radiotherapy.

Feasibility of combined paravertebral block and subcostal transversus abdominis plane block in postoperative pain control after minimally invasive esophagectomy.

OBJECTIVES: Subcostal transversus abdominis plane (TAP) block and paravertebral block (PVB) offer postoperative analgesia for laparoscopic and thoracoscopic surgery, respectively. We investigated the early postoperative analgesic effects of PVB in combination with subcostal TAP block in patients undergoing minimally invasive esophagectomy (MIE) for esophageal cancer. METHODS: Seventeen patients undergoing MIE without nerve block for postoperative analgesia and 16 patients undergoing MIE with PVB and subcostal TAP block for postoperative analgesia were enrolled for the study. The surgeon performed PVB with bupivacaine at T4, T6, and T8 levels under video-assisted thoracoscopy at the end of the thoracoscopic stage. The anesthesiologist responsible for the anesthesia performed ultrasound-guided bilateral subcostal TAP with bupivacaine at the end of the surgery. Postoperative morphine consumption, pain severity, vital capacity, intensive care unit (ICU) stay, and complication rate were compared between groups. RESULTS: The group receiving nerve blocks consumed less morphine on postoperative Day 0 (p = 0.016), experienced lower levels of pain at postoperative 0 hour (p = 0.005) and 2 hours (p = 0.049), and had a shorter ICU stay (p = 0.02). No between-group differences in postoperative vital capacity and respiratory complications were observed. CONCLUSION: PVB in combination with subcostal TAP block could reduce morphine consumption and pain severity in the early postoperative period but did not offer other clinical benefits in MIE.

Validating a prognostic scoring system for postmastectomy locoregional recurrence in breast cancer.

PURPOSE: This study is designed to validate a previously developed locoregional recurrence risk (LRR) scoring system and further define which groups of patients with breast cancer would benefit from postmastectomy radiation therapy (PMRT). METHODS AND MATERIALS: An LRR risk scoring system was developed previously at our institution using breast cancer patients initially treated with modified radical mastectomy between 1990 and 2001. The LRR score comprised 4 factors: patient age, lymphovascular invasion, estrogen receptor negativity, and number of involved lymph nodes. We sought to validate the original study by examining a new dataset of 1545 patients treated between 2002 and 2007. RESULTS: The 1545 patients were scored according to the previously developed criteria: 920 (59.6%) were low risk (score 0-1), 493 (31.9%) intermediate risk (score 2-3), and 132 (8.5%) were high risk (score ≥4). The 5-year locoregional control rates with and without PMRT in low-risk, intermediate-risk, and high-risk groups were 98% versus 97% (P=.41), 97% versus 91% (P=.0005), and 89% versus 50% (P=.0002) respectively. CONCLUSIONS: This analysis of an additional 1545 patients treated between 2002 and 2007 validates our previously reported LRR scoring system and suggests appropriate patients for whom PMRT will be beneficial. Independent validation of this scoring system by other institutions is recommended.