[Prognostic evaluation of P53 and BCL2 proteins in MYC/BCL2 double expression DLBCL]

Objective: To investigate the strong expression (S+) of P53 and BCL2 proteins in MYC/BCL2 double-expression DLBCL (DEL) and whether they can be used for the prognostic evaluation and stratified diagnosis of DELs. Methods: Tissue microarray were made by filed FFPE blocks of 174 DLBCL cases. The translocation of MYC, BCL2 and BCL6 genes were detected by FISH, and the proteins were detected by IHC. Data of clinicopathologic features and follow up of patients were collected and OS (overall survival) and PFS (progression free survival) were analyzed by statistics. Results: Eight double-hit lymphomas (DHLs) were identified in all cases, and 45 DELs were selected from 166 remaining cases, which have no significant difference in OS and PFS compared with non-DEL cases (P=0.668 and P=0.790) . Of 42 DEL-cases with follow up data, 24 cases with P53+ or/and BCL2 (S+) are significantly shorter OS and PFS than others (P=0.003 and P=0.000) , in which the cases with P53+/BCL2 (S+) co-expression were the worst prognosis, and P53/BCL2 co-weaker positive DEL cases even have superior OS and PFS than those non-DELs. Although statistics showed that the cases of P53+ or/and BCL2 (S+) have a lower OS and PFS in total cases (P=0.063 and P=0.024) , it is not the case when the DEL-cases take out from total cases, that is the cases with P53+ or/and BCL2 (S+) are as similar OS and PFS as others in non-DEL group (P=0.590 and P=0.550) . Conclusion: The strong expression of P53 and BCL2 proteins can be used as indicators of stratified diagnosis and poor prognosis of DEL.

Regression Algorithm of Bone Age Estimation of Knee-joint Based on Principal Component Analysis and Support Vector Machine

Abstract

Objective To establish a regression algorithm model that applies to bone age estimation of Xinjiang Uygur adolescents with machine learning methods such as histogram of oriented gradient （HOG）, local binary patterns （LBP）, support vector machine （SVM）, principal component analysis （PCA）. Methods DR images of knee-joints from 275 male and 225 female subjects aged 12.0-<19.0 years old were collected, PCA method was used to reduce the dimensionality of the HOG and LBP features, and support vector regression （SVR） was used to establish a knee-joint bone age estimation algorithm model. Stratified random sampling method was used to select 215 male samples, 180 female samples for the model training set. K-fold cross validation method was used to optimize parameters of the model. The remaining samples as the independent test set was used to compare the sample's true age and model estimated age, and had an accuracy rate in the statistical error range of ±0.8 and ±1.0 years, respectively. Then the mean absolute error （MAE） and root mean square error （RMSE） were calculated. Results The accuracy rate of male in the statistical error range of ±0.8 and ±1.0 year was 80.67%, 89.33%, respectively. The MAE and RMSE were 0.486 and 0.606 years, respectively. The accuracy rate of female in the statistical error range of ±0.8 and ±1.0 years was 80.19%, 90.45%, respectively. The MAE and RMSE were 0.485 and 0.590 years, respectively. Conclusion Establishment of prediction model for bone age estimation by feature dimension reduction of HOG and LBP in DR images of knee-joint based on PCA and SVM has relatively high accuracy.

Abstract P1-12-07: Prospective 36-month follow-up to determine changes in body mass index and weight among Chinese breast cancer survivors

Background:Anticancer treatment for breast cancer has been associated with weight gain but such observation has mainly been reported in western patients. More recent data in Asian patients have inconsistent findings. Factors including socio-demographic, clinical and lifestyle may be associated with post-diagnosis weight gain. In this prospective cohort study of women with breast cancer, the objectives were to determine the body mass index (BMI) and weight changes over 36 months after initial diagnosis and the factors associated with such changes.

Methods: Chinese women with newly diagnosed early-stage breast cancer were recruited. Individual woman had her weight measured at breast cancer diagnosis (W0), at study entry (W1) and at 36-month follow-up (W2). Body height was measured at W0. We evaluated change in weight and body mass index (BMI) before and after breast cancer diagnosis.Socio-demographic, clinical and lifestyle factors were assessed to identify potential associated factors with weight changes.

Results: A total of 1133 women with breast cancer had detailed weight measurements at the 3 time-points of assessment. The mean age at diagnosis was 52 years. Fifty-four percent were premenopausal at W1. The proportion of patients with stage 0-I, II and III diseases were 35%, 46% and 19%, respectively.

The proportions of patients who were overweight and obese at the three assessment time-points were 21.2% and 28.5% at W0, 19.7% and 26.6% at W1, and 21.7% and 30.9% at W2 assessment, respectively. When compared to W0, the proportions of women who gained weight within 2-5kg at W1 and W2 were 2.4% and 20.6% respectively, that with weight gain of &gt;5kg at W1 and W2 were 0.5% and 10.0% respectively; 6.1% and 19.6% of women had weight loss &gt;2kg at W1 and W2 respectively.

Compared to W0, the median value of weight change was -0.5 kg (range: -11.4, 18.3) at W1 and 0.6 kg (range: -19.6, 20.5) at W2. On multivariate analysis, only BMI at diagnosis were significantly associated with weight change betweenassessments at diagnosis and W2; the median (range) for weight changes for women who were underweight, normal, overweight and obese were respectively 0.9 (-4.8, 7.6), 0.6 (-13.2, 20.5), 0.5 (-11.5, 13.0) and 0.5 (-19.6, 12.6) kg, p &lt;0.001.

Conclusions: In this prospective study of Chinese women with a history of breast cancer who were followed-up over a 36-months' period, the proportions of women with overweight and obese statuses were relatively stable; weight gain was uncommon among Hong Kong women with breast cancer during the same period. These findings are in contrast with studies conducted in the West, where weight gains were more commonly reported.

Funding: World Cancer Research Fund International (Grant Number WCRF 2010/249 and WCRF 2014/1197)

Citation Format: Yeo W, Lei YY, Cheng AC, Kwok CC, Cheung KL, Lee R, Lee IC, He YQ, Ho S. Prospective 36-month follow-up to determine changes in body mass index and weight among Chinese breast cancer survivors [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P1-12-07.

[Association between behavioral problems and gastrointestinal disorders among children with autism spectrum disorder]

Objective: To investigate the relationship between gastrointestinal disorders (GID) and core symptoms or behavioral problems among the children with autism spectrum disorder (ASD) . Method: Totally 328 children with ASD and 202 normal controls were enrolled in this cross-sectional study from August 2013 to October 2016. The information about the gastrointestinal disorders, behavioral and emotional problems was collected by using questionnaires. Childhood Autism Rating Scale (CARS), Autism Behavior Checklist (ABC) were used to assess the core symptoms of the children with ASD. Neurodevelopmental status was evaluated with Gesell Developmental Scale (GDS). These variables were analyzed by using student's t-test and chi-square test. Result: The prevalence of GID was significantly higher in the children with ASD than in the normally developing children (49.4% (162/328) vs.25.7% (52/202), χ(2)=29.039, P=0.000), especially the symptoms of constipation (33.2% (109/328) vs. 13.9% (28/202)), diarrhea (9.5%(31/328) vs. 1.5% (3/202)), nausea and vomiting (9.5% (31/328) vs. 3.5% (7/202)), and foul defecation (16.5% (54/328) vs. 5.0% (10/202)) (all P<0.05). Among the ASD children, the prevalence of GID was similar between male and female (46.7% (133/285) vs. 46.5%(20/43), χ(2)=0.006, P=0.938), as well as among all age groups (χ(2)=1.907, P=0.862). There was no significant difference in scores of GDS in the ASD children with or without GID (all P>0.05). Compared with ASD children without GID (n=166), the ASD children with GID (n=162) got higher scores in the "Body and Object Use" of ABC scale ( (16.4±9.3) vs. (12.3±6.7) scores, t=2.258, P=0.028), and had more emotional problems (63.6% (103/162) vs. 49.4% (82/166), χ(2)=6.707, P=0.010). Moreover, the score of behavior problems questionnaire was higher in the ASD children with GID ( (35.3±16.8) vs. (16.1±13.6) scores, t=5.748, P=0.000). Conclusion: Children with ASD have higher risk of GID than the normal developing children. While the stereotyped behaviors, problem behaviors and emotional problems are severer in the ASD children with GID. Hence, it is important to provide comprehensive treatment and management for these groups of children.

Changes of masseter muscle activity following injection of botulinum toxin type A in adult rats

OBJECTIVES

To investigate changes in masseter muscle function following intramuscular injection of different dose-dependent botulinum toxin type A (BTXA).

SETTING AND SAMPLE POPULATION

Department of Orthodontics at Taipei Medical University. Fifty-two, 70-day-old male Wistar rats were randomly divided into four groups. Group I received 7.5 U of BTXA (0.3 ml), Group II received 5.0 U, and Group III received 2.5 U in the right masseter muscle, respectively. Group IV is the control and received no BTXA injection.

MATERIALS AND METHODS

A wire electrode device was implanted to record muscle activity. One week after implantation, the rats were fed every 2 h and EMG signals were recorded during the first hour. All signals were recorded for 12 weeks. Thereafter, EMG data were analyzed for statistical calculation and weights of masseter muscles were measured.

RESULTS

Masseter muscle activity decreased 99% during the first week after BTXA injection and gradually recovered from the 3rd week on in Groups I-III. By the 12th week, muscle activity recovered to 41% in Groups I and II and 56.26% in Group III. No significant changes of muscle activity were observed in Group IV.

CONCLUSION

BTXA induced a reduction in masseter muscle activity and an increased toxin dose resulted in greater depression of muscle activity.