Feed factor profile prediction model for two-component mixed powder in the twin-screw feeder.

In continuous pharmaceutical manufacturing processes, it is crucial to control the powder flow rate. The feeding process is characterized by the amount of powder delivered per screw rotation, referred to as the feed factor. This study aims to develop models for predicting the feed factor profiles (FFPs) of two-component mixed powders with various formulations, while most previous studies have focused on single-component powders. It further aims to identify the suitable model type and to determine the significance of material properties in enhancing prediction accuracy by using several FFP prediction models with different input variables. Four datasets from the experiment were generated with different ranges of the mass fraction of active pharmaceutical ingredients (API) and the powder weight in the hopper. The candidates for the model inputs are (a) the mass fraction of API, (b) process parameters, and (c) material properties. It is desirable to construct a high-performance prediction model without the material properties because their measurement is laborious. The results show that using (c) as input variables did not improve the prediction accuracy as much, thus there is no need to use them.

Trends in the use of local intervention for metastatic hormone-naïve prostate cancer: A multicenter retrospective study.

OBJECTIVE: To evaluated the trends of local intervention and their impact on oncological outcomes in metastatic hormone-naïve prostate cancer (mHNPC) in real-world practice. METHODS: This retrospective multicenter study included 760 patients treated with either androgen deprivation therapy (ADT) without local treatment (no castration-resistant prostate cancer [CRPC] progression within 12 months, control group) or ADT plus local intervention (intervention group) between January 2005 and March 2022. We evaluated the trends in the use of local intervention in patients with mHNPC and factors associated with CRPC-free survival in the intervention group. RESULTS: The use of local intervention gradually increased in combination with upfront combination treatment (docetaxel or androgen receptor axis-targeted agents) for the duration of our study. The number of patients with local intervention combined with upfront treatment was significantly higher in patients with high tumor burden disease than in those with low tumor burden disease. Of the 108 patients who received local intervention, a duration of ≤7 months of initial therapy before local intervention and a level of prostate-specific antigen ≥0.20 ng/mL at the time of local intervention were significantly associated with poor CRPC-free survival. CONCLUSIONS: The use of local intervention in combination with upfront therapy to treat mHNPC increased for the duration of our study regardless of the tumor burden. Local intervention in addition to the standard of care for mHNPC may be a feasible treatment option for selected patients, taking into consideration the duration of and response to initial treatment.

Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales.

The purpose of this study is to demonstrate the usefulness of machine learning (ML) for analyzing a material attribute database from tablets produced at different granulation scales. High shear wet granulators (scale 30 g and 1000 g) were used and data were collected according to the design of experiments at different scales. In total, 38 different tablets were prepared, and the tensile strength (TS) and dissolution rate after 10 min (DS10) were measured. In addition, 15 material attributes (MAs) related to particle size distribution, bulk density, elasticity, plasticity, surface properties, and moisture content of granules were evaluated. By using unsupervised learning including principal component analysis and hierarchical cluster analysis, the regions of tablets produced at each scale were visualized. Subsequently, supervised learning with feature selection including partial least squares regression with variable importance in projection and elastic net were applied. The constructed models could predict the TS and DS10 from the MAs and the compression force with high accuracy (R2= 0.777 and 0.748, respectively), independent of scale. In addition, important factors were successfully identified. ML can be used for better understanding of similarity/dissimilarity between scales, for constructing predictive models of critical quality attributes, and for determining critical factors.

Comparison of neoadjuvant chemohormonal therapy vs. extended pelvic lymph-node dissection in high-risk prostate cancer treated with robot-assisted radical prostatectomy.

We compared the impact of treatment strategies on postoperative complications and prognosis between robot-assisted radical prostatectomy (RARP) plus extended pelvic lymph-node dissection (ePLND) and RARP plus neoadjuvant chemohormonal therapy (NCHT) without ePLND. We retrospectively evaluated 452 patients with high-risk prostate cancer (defined as any one of prostate-specific antigen ≥ 20 ng/mL, Gleason score 8-10, or cT2c-3) who were treated with RARP between January 2012 and February 2021. The patients were divided into two groups: RARP with ePLND (ePLND group) and NCHT plus RARP without ePLND (NCHT group). We compared the complication rate (Clavien-Dindo classification), biochemical recurrence-free survival, and castration-resistant prostate cancer (CRPC)-free survival between the groups. We performed multivariable Cox regression analysis using inverse probability weighting (IPTW) methods to assess the impact of the different treatments on prognosis. There were 150 and 302 patients in the ePLND and NCHT groups, respectively. The postoperative complication rate was significantly higher in the ePLND group than in the NCHT group (P < 0.001). IPTW-adjusted biochemical recurrence-free survival and CRPC-free survival were significantly higher in the NCHT group than in the ePLND group (hazard ratio [HR] 0.29, P < 0.001, and HR 0.29, P = 0.010, respectively). NCHT plus RARP without ePLND may reduce the risk of postoperative complications compared with ePLND during RARP. The impact of treatment strategies on oncological outcomes needs further studies.

Trends in the age of hospitalized patients with urological cancers: A 17-year experience.

OBJECTIVES: To investigate the impact of global aging on the trends in the age of hospitalized patients with a urological cancer diagnosis. METHODS: We retrospectively evaluated a cumulative total of 10 652 cases of referred patients (n = 6637) with a urological disease who were hospitalized in our institution between January 2005 and December 2021. We compared age and the proportion of patients aged ≥80 years among patients who were hospitalized in the urological ward between the period of 2005-2013 and that of 2014-2021. RESULTS: We identified 8168 hospitalized patients with urological cancer. The median age was significantly increased in patients with urological cancer between the periods of 2005-2013 and 2014-2021. The proportion of hospitalized patients with urological cancer aged ≥80 years was significantly increased between the periods of 2005-2013 (9.3%) and 2014-2021 (13.8%). The median ages of the patients with urothelial cancer (UC) and renal cell carcinoma (RCC), but not the median age of those with prostate cancer (PC), were significantly increased between the study periods. The proportion of hospitalized patients with UC, but not the proportions of those with PC and RCC, aged ≥80 years was significantly increased between the study periods. CONCLUSIONS: The age of patients with urological cancer who were hospitalized in the urological ward and the proportion of patients with UC aged ≥80 years significantly increased over the entire study period.

Trends of incidence and age in adults with testicular germ cell tumors: a two-decade multicenter retrospective study.

Background: Testicular germ cell tumors (GCTs) are the most common type of cancer in adolescent boys and young adult men, but the age at onset has been increasing. However, little is known regarding the incidence and age of patients with testicular GCTs in Japan because the incidence there is low. Methods: We retrospectively reviewed the medical records of patients with GCTs in seven hospitals between 2001 and 2021. We compared the incidences of testicular GCTs, ages at onset, pathological types (seminoma or nonseminoma), and clinical stages in patients with GCTs between the periods 2001-2010 and 2011-2021. Results: We identified 193 adults (≥20 years of age) with testicular GCTs; their median age was 37 years [interquartile range (IQR), 29-47 years]. Of these patients, 87 (45.1%) were ≥40 years of age at diagnosis. The proportion of patients aged ≥40 years was significantly higher in the period 2011-2021 (54.8%) than in 2001-2010 (30.8%; P=0.001). The incidence of seminoma was significantly higher in the period 2011-2021, but clinical stage did not differ significantly between the two periods. The population-adjusted incidence among patients in their 40s was 3.4-fold higher in 2011-2021 than in 2001-2010. Conclusions: The number of patients with GCTs aged ≥40 years was significantly higher in 2011-2021, even in a population-adjusted analysis. Treatment strategies need to be adapted to older testicular germ cell tumor patients.

Effects of apalutamide dose reduction on skin-related adverse events in patients with advanced prostate cancer: A multicenter retrospective study.

BACKGROUND: We aimed to evaluate the effects of apalutamide dose reduction on skin-related adverse events (AEs) and castration-resistant prostate cancer (CRPC)-free survival in patients with advanced prostate cancer (PC). METHODS: We retrospectively evaluated 35 patients with nonmetastatic CRPC and 72 patients with treatment-naïve metastatic castration-sensitive PC (mCSPC) who were treated with apalutamide. The primary outcome was the effect of apalutamide dose reduction on skin-related AEs. The secondary outcomes were the effect of apalutamide dose reduction on skin-related AEs in patients with small body size, postskin AE apalutamide discontinuation rate, and CRPC-free survival in patients with mCSPC treated with upfront apalutamide plus androgen deprivation therapy. RESULTS: Of the 107 patients, 65 (60.7%) and 42 (39.3%) were treated with full and reduced doses of apalutamide, respectively. The skin-related AE rate was not significantly different between the groups (55% vs. 43%, p = 0.761). In the group receiving reduced apalutamide dose, the incidence of skin-related AEs was significantly lower in patients with small body sizes (body weight <67 kg and body mass index <24 kg/m2 ) than in those with other body sizes. The postskin AE apalutamide discontinuation rate was significantly differed between patients receiving the full (50%) and reduced (16.7%) doses. In the 72 patients with mCSPC, CRPC-free survival was not significantly different between the full and reduced dose groups. CONCLUSION: Apalutamide dose reduction was not significantly associated with the incidence of skin-related AEs. However, dose reduction in patients with small body sizes may alleviate skin-related AEs without sacrificing oncological outcomes.

Creation of novel large dataset comprising several granulation methods and the prediction of tablet properties from critical material attributes and critical process parameters using regularized linear regression models including interaction terms.

Our aim was to understand better the causal relationships between material attributes (MAs), process parameters (PPs), and critical quality attributes (CQAs) using an originally created large dataset and regularized linear regression models. In this study, we focused on the following three points: (1) creation of a dataset comprising several tablet production methods, (2) the influence of interaction terms of MAs and/or PPs, and (3) comparison of regularized linear regression models with partial least squares (PLS) regression. First, we prepared 44 kinds of tablets using direct compression and five kinds of granulation methods. We then measured 12 MAs and two model CQAs (tensile strength and disintegration time of tablet). Principal component analysis showed that the constructed dataset comprised a wide variety of particles. We applied regularized linear regression models, such as ridge regression, LASSO and Elastic Net (ENET), and PLS to our dataset to predict CQAs from the MAs and PPs. As a result of external validation, the prediction performance of the models was sufficiently high, although ENET was slightly better than the other methods. Moreover, in almost all cases, the models with interaction terms showed higher predictive ability than those without interaction terms, indicating that the interaction terms of MAs and/or PPs have a strong influence on CQAs. ENET also allowed the selection of critical factors that strongly affect CQAs. The results of this study will help to understand systematically knowledge obtained in pharmaceutical development.

Modeling of quantitative relationships between physicochemical properties of active pharmaceutical ingredients and tensile strength of tablets using a boosted tree.

OBJECTIVES: The aim of this study was to explore the potential of boosted tree (BT) to develop a correlation model between active pharmaceutical ingredient (API) characteristics and a tensile strength (TS) of tablets as critical quality attributes. METHODS: First, we evaluated 81 kinds of API characteristics, such as particle size distribution, bulk density, tapped density, Hausner ratio, moisture content, elastic recovery, molecular weight, and partition coefficient. Next, we prepared tablets containing 50% API, 49% microcrystalline cellulose, and 1% magnesium stearate using direct compression at 6, 8, and 10 kN, and measured TS. Then, we applied BT to our dataset to develop a correlation model. Finally, the constructed BT model was validated using k-fold cross-validation. RESULTS: Results showed that the BT model achieved high-performance statistics, whereas multiple regression analysis resulted in poor estimations. Sensitivity analysis of the BT model revealed that diameter of powder particles at the 10th percentile of the cumulative percentage size distribution was the most crucial factor for TS. In addition, the influences of moisture content, partition coefficients, and modal diameter were appreciably meaningful factors. CONCLUSIONS: This study demonstrates that BT model could provide comprehensive understanding of the latent structure underlying APIs and TS of tablets.

Relationships between response surfaces for tablet characteristics of placebo and API-containing tablets manufactured by direct compression method.

In this study, we evaluated the correlation between the response surfaces for the tablet characteristics of placebo and active pharmaceutical ingredient (API)-containing tablets. The quantities of lactose, cornstarch, and microcrystalline cellulose were chosen as the formulation factors. Ten tablet formulations were prepared. The tensile strength (TS) and disintegration time (DT) of tablets were measured as tablet characteristics. The response surfaces for TS and DT were estimated using a nonlinear response surface method incorporating multivariate spline interpolation, and were then compared with those of placebo tablets. A correlation was clearly observed for TS and DT of all APIs, although the value of the response surfaces for TS and DT was highly dependent on the type of API used. Based on this knowledge, the response surfaces for TS and DT of API-containing tablets were predicted from only two and four formulations using regression expression and placebo tablet data, respectively. The results from the evaluation of prediction accuracy showed that this method accurately predicted TS and DT, suggesting that it could construct a reliable response surface for TS and DT with a small number of samples. This technique assists in the effective estimation of the relationships between design variables and pharmaceutical responses during pharmaceutical development.

Population structures of the red fox (Vulpes vulpes) on the Hokkaido Island, Japan, revealed by microsatellite analysis.

In order to examine the population structures of the red fox (Vulpes vulpes) on the Hokkaido Island in Japan, we conducted analysis on 250 foxes from all over the island for 12 microsatellite loci. Assignment tests using the genotype data set showed that they were divided into 6 subpopulations. Of the 6, one was geographically isolated in the southern region and considered definitive subpopulation, whereas the other 5 were not. The slight differences among the latter 5 subpopulations were explained by the high adaptability and long dispersal of the red fox on the Hokkaido Island. Although there are few ecological data to explain the genetic differentiation of the southern population, we have proposed some hypotheses from the present ecological and geohistorical viewpoints. One convincing reason from the ecological viewpoint is the restriction of gene flow to southern Hokkaido from other areas due to geographical isolation resulting from the land shape. The other explanation is the geohistorical division of southern Hokkaido from other regions on the island during the last interglacial age, resulting in the isolation of the fox population.

Geographical variations of the skull in the red fox Vulpes vulpes on the Japanese Islands: an exception to Bergmann's rule.

In order to clarify the morphological differences between two subspecies of the red fox (Vulpes vulpes) on the Japanese Islands and test the validity of Bergmann's rule, we examined geographical variations in 25 cranial and 24 dental characters in V. v. schrencki from Hokkaido and V. v. japonica from the other main islands of Japan (Honshu, Shikoku, and Kyushu). Many skull measurements, including the male greatest length, condylobasal length, and the length of upper and lower tooth rows, were significantly larger for V. v. japonica than for V. v. schrencki, whereas most tooth measurements, especially the length of molars and premolars, in V. v. schrencki were larger than those in V. v. japonica. Although the two subspecies were morphologically well-differentiated from each other, the results did not support that they have evolved following Bergmann's rule of adaptation to cold climates. Based on consideration of the relatively large differences of their tooth sizes, which are not easily influenced by food abundance, and previous genetic research on the different migration histories of the two subspecies, the morphological differences detected in the present study may have resulted not only from the present ecological differences between the two subspecies, but also from the difference of migration history and evolutionary constraints.