Factors associated with osteoarthritis in menopausal women: A registry study of osteoporosis sarcopenia and osteoarthritis.

Background: Bone and muscle mass decline after menopause. The risk of osteoarthritis (OA), sarcopenia, and osteoporosis increases in later life. Our objective aimed to assess the possible factors affecting osteoarthritis in menopausal women. Methods: This is a registry study of osteoporosis, sarcopenia, and osteoarthritis. All subjects accepted bone mineral density (BMD) and body composition studies, and X-rays of both knees were performed. A medical history was taken and biochemical data were recorded. Logistic regression analyses were used to examine the associations between the presence of osteoarthritis and BMD, muscle mass, and other parameters. Results: A total of 139 patients were enrolled. The mean age of the patients was 73.86 ± 5.83 years in the osteoarthritis group and 74.53 ± 9.90 in the non-osteoarthritis group (p = 0.663). The mean body mass index (BMI) was 24.36 ± 3.64 kg/m2 in the osteoarthritis group, compared with 23.78 ± 3.61 in the non-osteoarthritis group (p = 0.366). The lumbar spine T score was -2.06 ± 1.33 g/cm2 in the osteoarthritis group, and -1.25 ± 1.76 in the non-osteoarthritis group (p = 0.006). There were no significant differences in smoking, alcohol consumption, diabetes, hypertension, cardiovascular disease, neurological disease, and chronic kidney disease between the two groups. When we used osteoarthritis as the outcome, we found that the lumbar spine T score had a significant association with osteoarthritis, with a high T score associated with less osteoarthritis formation (p = 0.024, odds ratio (95% confidence interval) 0.06 (0-0.69)). Conclusions: Knee osteoarthritis was associated with lumbar spine bone density. This study provides the initial information required to develop clinical algorithms for the early identification of potential high-risk populations, as well as essential information for the development of policies for the detection and prevention of osteoarthritis in menopausal women.

High Expression of Folate Receptor Alpha (FOLR1) is Associated With Aggressive Tumor Behavior, Poor Response to Chemoradiotherapy, and Worse Survival in Rectal Cancer.

Objectives: Recently, molecular medicine targeting Folate Receptor Alpha (FOLR1), which mediates intracellular folate uptake and tumor cell proliferation, has been identified in several malignancies. However, the association between FOLR1 expression and rectal cancer remains unclear. Methods: Immunostaining of FOLR1 was performed on biopsy specimens from 172 rectal cancer patients undergoing preoperative chemoradiotherapy (CRT). FOLR1 expression was measured and divided into low (0+-2+) or high (3+-4+) level. Correlations between FOLR1 status and clinicopathologic features, tumor regression grade, disease-specific survival (DSS), local recurrence-free survival, and metastasis-free survival (MeFS) were analyzed, retrospectively. Results: High FOLR1 expression was significantly associated with advanced post-treatment tumor and nodal status (T3-4; N1-2, P = .001), vascular invasion (P = .042), perineural invasion (P = .012), and poor regression change after CRT (P = .001). In uni- and multi-variable survival analysis, FOLR1 overexpression remained a significant predictor of lower DSS (hazard ratio [HR], 2.328; 95% confidence interval [CI], 1.014-5.344; P = .046) and MeFS (HR, 2.177; 95% CI, 1.000-1.1286; P = .050). Conclusion: These results indicate that high FOLR1 status is associated with aggressive tumor behavior, poor response to CRT, and worse survival. Therefore, FOLR1 expression at initial biopsy may be useful in predicting outcomes and also be a target for the exploration of FOLR1-based therapeutic agents.

The effect of adjuvant radiotherapy on clinical outcomes in early major salivary gland cancer.

BACKGROUND: This study investigated the effects of adjuvant radiotherapy on outcomes in early-stage major salivary gland cancers. METHODS: A total of 655 patients were identified, including 355 (54.2%) received adjuvant radiotherapy and 300 (45.8%) had surgery alone. The effect of adjuvant radiotherapy on 5-year locoregional recurrence and disease-specific survival (DSS) was calculated using the Kaplan-Meier method, Wilcoxon rank sum test, and Cox proportional hazards model. RESULTS: There were no significant differences in locoregional recurrence and DSS between patients receiving adjuvant radiotherapy and those not in both univariate and multivariable analysis. Although patients with positive margin status had a higher locoregional recurrence and those with moderate/poor differentiation had a worse DSS, stratified analysis still indicated there were no protective effects from the use of adjuvant radiotherapy. CONCLUSIONS: The use of adjuvant radiation therapy was not associated with improved locoregional recurrence and DSS, even for those with high-risk histopathological factors.

Adjuvant chemotherapy and survival outcomes in rectal cancer patients with good response (ypT0-2N0) after neoadjuvant chemoradiotherapy and surgery: A retrospective nationwide analysis.

Background: For rectal cancer, it remains unclear how to incorporate tumor response to neoadjuvant chemoradiotherapy (nCRT) when deciding whether to give adjuvant chemotherapy. In this study, we aim to determinate the survival benefit of adjuvant chemotherapy for rectal cancer patients with good response (ypT0-2N0) after nCRT and surgery. Methods: The study cohort included 720 rectal cancer patients who had good response (ypT0-2N0) after nCRT and surgery, who did or did not receive adjuvant chemotherapy between January 2007 and December 2017, from the Taiwan Cancer Registry and National Health Insurance Research database. The Kaplan-Meier method, log-rank tests, and Cox regression analysis were performed to investigate the effect of adjuvant chemotherapy on 5-year overall survival (OS) and disease-free survival (DFS). Results: Of 720 patients, 368 (51.1%) received adjuvant chemotherapy and 352 (48.9%) did not. Patients who received adjuvant chemotherapy were more likely to be female, younger (≤ 65), with advanced clinical T (3-4)/N (1-2) classification and ypT2 classification. No significant difference in 5-year OS (p=0.681) or DFS (p=0.942) were observed by receipt of adjuvant chemotherapy or not. Multivariable analysis revealed adjuvant chemotherapy was not associated with better OS (adjusted hazard ratio [aHR], 1.03; 95% Confidence Interval [CI], 0.88-1.21) or DFS (aHR, 1.05; 95% CI, 0.89-1.24). Stratified analysis for OS and DFS found no significant protective effect in the use of adjuvant chemotherapy, even for those with advanced clinical T or N classification. Conclusion: Adjuvant chemotherapy may be omitted in rectal cancer patients with good response (ypT0-2N0) after nCRT and surgery.

Overexpression of MLPH in Rectal Cancer Patients Correlates with a Poorer Response to Preoperative Chemoradiotherapy and Reduced Patient Survival.

Data mining of a public transcriptomic rectal cancer dataset (GSE35452) from the Gene Expression Omnibus, National Center for Biotechnology Information identified the melanophilin (MLPH) gene as the most significant intracellular protein transport-related gene (GO:0006886) associated with a poor response to preoperative chemoradiation. An MLPH immunostain was performed on biopsy specimens from 172 rectal cancer patients receiving preoperative chemoradiation; samples were divided into high- and low-expression groups by H-scores. Subsequently, the correlations between MLPH expression and clinicopathologic features, tumor regression grade, disease-specific survival (DSS), local recurrence-free survival (LRFS), and metastasis-free survival (MeFS) were analyzed. MLPH expression was significantly associated with CEA level (p = 0.001), pre-treatment tumor status (p = 0.022), post-treatment tumor status (p < 0.001), post-treatment nodal status (p < 0.001), vascular invasion (p = 0.028), and tumor regression grade (p < 0.001). After uni- and multi-variable analysis of five-year survival, MLPH expression was still associated with lower DSS (hazard ratio (HR), 10.110; 95% confidence interval (CI), 2.178-46.920; p = 0.003) and MeFS (HR, 5.621; 95% CI, 1.762-17.931; p = 0.004). In conclusion, identifying MLPH expression could help to predict the response to chemoradiation and survival, and aid in personal therapeutic modification.

Optimal Lymph Node Yield for Survival Prediction in Rectal Cancer Patients After Neoadjuvant Therapy.

PURPOSE: A lymph node (LN) yield ≥12 is required to for accurate determination of nodal status for colorectal cancer but cannot always be achieved after neoadjuvant therapy. This study aims to determine the difference in LN yield from rectal cancer patients treated with and without neoadjuvant therapy and the effects of specific LN yields on survival. PATIENTS AND METHODS: The study cohort included a total of 4344 rectal cancer patients treated between January 2007 and December 2015, 2260 (52.03%) of whom received neoadjuvant therapy. Data were retrieved from the Taiwan nationwide cancer registry database. The minimum acceptable LN yield below 12 was investigated using the maximum area under the ROC curve. RESULTS: The median LN yield was 12 (8-17) for patients who received neoadjuvant therapy and 17 (13-24) for those who did not. The recommended LN yield ≥12 was achieved in 82.73% of patients without and 57.96% of those with neoadjuvant therapy (p < 0.0001). Patients with LN yield ≥12 had a higher OS probability than did those with LN <12 (OR, 1.33; 95% CI, 1.06-1.66; p = 0.0124). However, the predictive accuracy for survival was greater for LN yield ≥10 (AUC, 0.7767) than cut-offs of 12, 8, or 6, especially in patients with pathologically-negative nodes (AUC, 0.7660). CONCLUSION: Neoadjuvant therapy significantly reduces the LN yield in subsequent surgery. A lower yield (LN ≥ 10) may be adequate for nodal evaluation in rectal cancer patients after neoadjuvant therapy.

Adjuvant Radiotherapy Significantly Increases Neck Control and Survival in Early Oral Cancer Patients with Solitary Nodal Involvement: A National Cancer Registry Database Analysis.

We assessed the role of adjuvant radiotherapy on neck control and survival in patients with early oral cancer with solitary nodal involvement. We identified pT1-2N1 oral cancer patients with or without adjuvant radiotherapy from the 2007-2015 Taiwan Cancer Registry database. The effect of adjuvant radiotherapy on 5-year neck control, overall survival (OS) and disease-free survival (DFS) were calculated using the Kaplan-Meier method, log-rank tests, and Cox regression analysis. Of 701 patients identified, 505 (72.0%) received adjuvant radiotherapy and 196 (28.0%) had surgery alone. Patients receiving adjuvant radiotherapy were more likely to be aged <65 years, pT2 stage, poorly graded and without comorbid conditions (all, p < 0.05). The 5-year OS and DFS differed significantly by receipt of adjuvant radiotherapy. Multivariable analysis showed adjuvant radiotherapy significantly associated with better 5-year OS (adjusted hazard ratio (aHR), 0.72; 95% confidence interval (CI), 0.54-0.97; p = 0.0288) and DFS (aHR, 0.64; 95% CI, 0.48-0.84; p = 0.0016). Stratified analysis indicated the greatest survival advantage for both 5-year OS and DFS in those with pT2 classification (p = 0.0097; 0.0009), and non-tongue disease (p = 0.0195; 0.0158). Moreover, adjuvant radiotherapy significantly protected against neck recurrence (aHR, 0.30; 95% CI, 0.18-0.51; p < 0.0001). Thus, adjuvant radiotherapy is associated with improved neck control and survival in these early oral cancer patients.

Long-term outcome and prognostic factors of single-dose Radioiodine Therapy in patients with Graves' disease.

BACKGROUND/PURPOSE: Few studies exist investigating the effectiveness of radioiodine (RAI) therapy for hyperthyroidism patients in Asia. We herein investigated the real-world efficacy of single-dose RAI therapy in Taiwanese patients with Graves' disease (GD). METHODS: This is a retrospective study of 243 patients with GD recorded between 1989 and 2016 in a tertiary referral hospital. Eu- or hypothyroid after RAI therapy were defined as the successful group. Kaplan-Meier curve and cox-regression model were used for analysis of prognostic factors. RESULTS: Of the 243 patients, 187 were females, with mean age of 46.9 ± 13.6 years. Most patients (63.8%) did not choose RAI as the first-line therapy. The median dose was 7 mCi, with a mean follow-up period of 107.1 ± 82.8 months. The overall success rate was 70.9%. Univariate analysis revealed calculated- or fixed-dose (P = 0.015), goiter size (P < 0.001), and RAI dose (P = 0.022) were the factors affecting RAI effectiveness, multivariate analysis indicated goiter size was the independent factor. Patients with grade 0-2 goiter had a higher success rate than patients with grade 3 goiter (HR = 2.1, 95%CI = 1.34-3.27, P = 0.001), although the former were treated with lower RAI dose than the latter (7.8 ± 3.2 mCi vs 8.8 ± 3.3 mCi, P = 0.049). However, if the grade 3 goiters became smaller within 3 months of therapy, the success rate was not inferior to grade 0-2 goiter. CONCLUSION: In Taiwan, RAI therapy for GD patients reached an overall success rate of 70.9%, with a median dose of 7 mCi. This study identified patients with grade 3 goiter need a more aggressive RAI regimen.

Acute blood glucose fluctuations can decrease blood glutathione and adiponectin levels in patients with type 2 diabetes.

INTRODUCTION: Glutathione appears to have apparent antioxidant activity to counter regulate hyperglycemia induced oxidative stress. Adiponectin also plays a role in the suppression of the metabolic derangements in type 2 diabetes mellitus (DM). The aim of this study was to determine whether blood glucose fluctuations can alter blood levels of glutathione and adiponectin. METHODS: We enrolled 34 patients with type 2 DM. As a measure of short-term glycemic variability, the mean amplitude of glycemic excursions (MAGE) was computed from a continuous glucose monitor system (CGMS), and data were recorded over 72 h. For long-term glycemic variability, we calculated the standard deviation (SD) of HbA1c over a 2-year period. Glutathione and adiponectin levels were measured after completing the 72-h CGMS data collection. RESULTS: The blood levels of glutathione were significantly and negatively correlated with MAGE (r = -0.543; P < 0.001), but not with HbA1c and SD of HbA1c. Adiponectin levels were also significantly and negatively correlated with MAGE and SD of HbA1c (r = -0.64 and r = -0.55, respectively; P < 0.001). Using generalized estimating equations, multivariate regression analysis revealed that MAGE is an independent predictor of serum levels of adiponectin (P = 0.002) and glutathione (P = 0.004). CONCLUSIONS: We found strong associations between acute blood glucose variability, glutathione, and adiponectin in type 2 diabetic patients treated with oral hypoglycemic agent therapy.