Predicting glioblastoma molecular subtypes and prognosis with a multimodal model integrating convolutional neural network, radiomics, and semantics.

OBJECTIVE: The aim of this study was to build a convolutional neural network (CNN)-based prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with multimodal features. METHODS: In total, 222 GBM patients were included in the training set from Sun Yat-sen University Cancer Center (SYSUCC) and 107 GBM patients were included in the validation set from SYSUCC, Xuanwu Hospital Capital Medical University, and the First Hospital of Jilin University. The multimodal model was trained with MR images (pre- and postcontrast T1-weighted images and T2-weighted images), corresponding MRI impression, and clinical patient information. First, the original images were segmented using the Multimodal Brain Tumor Image Segmentation Benchmark toolkit. Convolutional features were extracted using 3D residual deep neural network (ResNet50) and convolutional 3D (C3D). Radiomic features were extracted using pyradiomics. Report texts were converted to word embedding using word2vec. These three types of features were then integrated to train neural networks. Accuracy, precision, recall, and F1-score were used to evaluate the model performance. RESULTS: The C3D-based model yielded the highest accuracy of 91.11% in the prediction of IDH1 mutation status. Importantly, the addition of semantics improved precision by 11.21% and recall in MGMT promoter methylation status prediction by 14.28%. The areas under the receiver operating characteristic curves of the C3D-based model in the IDH1, ATRX, MGMT, and 1-year prognosis groups were 0.976, 0.953, 0.955, and 0.976, respectively. In external validation, the C3D-based model showed significant improvement in accuracy in the IDH1, ATRX, MGMT, and 1-year prognosis groups, which were 88.30%, 76.67%, 85.71%, and 85.71%, respectively (compared with 3D ResNet50: 83.51%, 66.67%, 82.14%, and 70.79%, respectively). CONCLUSIONS: The authors propose a novel multimodal model integrating C3D, radiomics, and semantics, which had a great performance in predicting IDH1, ATRX, and MGMT molecular subtypes and the 1-year prognosis of GBM.

The adiposity indicators in relation to diabetes among adults in China: a cross-sectional study from China Health and Nutrition Survey.

BACKGROUND: Diabetes is a metabolic disease which has been confirmed to be involved with abnormal or excessive body fat accumulation. There is still a lack of nationwide research in China to discuss the relationship between adiposity indicators included body mass index (BMI), waist circumference (WC), visceral adiposity index, waist-height ratio, waist-to-hip ratio (WHR) and diabetes. The question of which one is the best indicator of obesity to predict diabetes in China remains to be unclear. METHODS: Data were collected from the China Health and Nutrition Survey (CHNS) in 2009, including 7,930 participants aged over 18 years old for cross-sectional analysis. Information about height, weight, WC, hip circumference, smoking status, alcohol consumption, physical activity, energy intake and blood samples were analyzed. Binary logistic regression models were used to explore the association of WC, BMI, WHR, waist-to-height ration (WHtR) and visceral adipose index (VAI) with the prevalence of diabetes in the 2009 CHNS respectively. Predictive potential of five adiposity indicators was validated by the area under the receiver operator characteristic curve (AUROC). The optimal cut-off points were determined by Youden's index, which was used to estimate the performance of adiposity indicators. RESULTS: The study shows patients in the highest quartile were more likely to have diabetes than those in the lowest quartile of WC (OR: 4.237, 95% CI: 3.265-5.499), BMI (OR: 3.312, 95% CI: 2.601-4.218), WHR (OR: 3.199, 95% CI: 2.493-4.104), WHtR (OR: 3.760, 95% CI: 2.891-4.890), VAI (OR: 4.347, 95% CI: 3.411-5.541). The area under the receiver operator characteristic curve of WC, BMI, WHR, WHtR and VAI for diabetes was 0.700, 0.663, 0.668, and 0.697 and 0.694, respectively. The optimal cut-offs regarding diabetes in Chinese are WHtR ≥0.520 for men and VAI ≥1.878 for women. CONCLUSIONS: Our findings indicate that WC, WHtR, BMI, WHR and VAI are all independent risk factors for diabetes among Chinese adults. WHtR is the most accurate indicator for diabetes in men, while VAI for women.

NK cells adjuvant therapy shows survival benefits in a gastric mixed signet ring cell carcinoma patient: A case report.

RATIONALE: Advanced signet ring cell (SRC) carcinoma has a worse prognosis. Therefore, early diagnosis and prevention is particularly important; SRC tumors have lower R0 resection rate and are thought to be less chemosensitive than non-SRCC. Consequently, a novel postoperative adjuvant treatment is urgently needed to improve clinical outcomes. PATIENT CONCERNS: A 41-year-old female with advanced gastric SRC carcinoma was treated with radical gastrectomy and oxaliplatin-based regimen for 6 cycles after surgery. She was suspected of recurrence with the high level of carbohydrate antigen (CA) 72-4. DIAGNOSES: The gastroscopy revealed SRC carcinoma of gastric antrum and poorly differentiated adenocarcinoma in some areas. The diagnosis of postoperative pathology report was gastric cancer with stage III C (T4a, N3a, M0). INTERVENTIONS: The level of CA72-4 rapidly increased during the 2 follow-up after the completion of conventional treatment, ex vivo-cultured allogeneic natural killer (NK) cell infusion was offered to prevent recurrence. OUTCOMES: Intravenous injections of NK cells combination with surgical treatment and chemotherapy showed therapeutic effects in this patient with possible relapse. The patient remained disease-free 46 months after the infusion of NK cells until the latest follow-up. LESSONS: CA72-4 appeared to be the most sensitive and specific marker in the gastric cancer patient, and the high level of CA72-4 may indicate the risk of recurrence. This case report provide rationale for NK cell infusion following the rapid increase of CA72-4 to prevent recurrence.

Chemoradiotherapy combined with NK cell transfer in a patient with recurrent and metastatic nasopharyngeal carcinoma inducing long-term tumor control: A case report.

RATIONALE: Nasopharyngeal carcinoma (NPC) is one of the most common malignancies in Southern China. Although combined chemotherapy with radiotherapy has been widely used in treating locally advanced lesions, relapse and metastases remain the primary cause of treatment failure, and are associated with an extremely poor prognosis. Therefore, more efficient and milder therapies are needed. PATIENT CONCERNS: Herein, we report a patient with advanced NPC with intracranial metastases who showed progression during conventional treatment. DIAGNOSES: Nonkeratinizing undifferentiated nasopharyngeal carcinoma (stage IV). INTERVENTIONS: After the completion of initial chemoradiotherapy and targeted therapy, metastases to brain occurred during follow-up. Ex vivo-cultured allogeneic NK cell infusion was offered. OUTCOMES: Although the intracranial metastases did not decrease 10 months after the NK cell treatment, they decreased significantly at 31 months after the treatment and partially disappeared. The tumor response indicated partial response. Furthermore, all of the intracranial metastases continued to decrease at about 42 months after treatment. LESSONS: The brain metastases of NPC are rare with poor prognosis. Radiotherapy in NPC can disrupt the blood-brain barrier, which may contribute to the metastases of brain. This case report will provide rationale for NK cell infusion following regular chemoradiotherapy.

[Mechanism of hepatic stellate cell migration during liver fibrosis].

OBJECTIVE: To study the mechanism of migration of hepatic stellate cells (HSCs) within the space of Disse microenvironment during liver fibrosis, and to explore the novel pathogenesis of liver fibrosis from the view of cell migration. METHODS: Human HSCs of the line LX2-HSC were cultured. A modified in vitro Boyden chamber system was used to partially mimic the microenvironment of Disse space of normal basement membrane like matrix or that in fibrosis. HSCs were put in the upper chamber, and transforming growth factor (TGF)-beta1, plate-derived growth factor (PDGF)-BB, epidermal growth factor (EGF), vascular epithelial growth factor (VEGF), bfibroblast growth factor (bFGF), and collagen type I or type IV were put into the lower chamber. Four hours later cell migration assay was conducted. HSCs were put into 6-well plate and then added with TGF-beta1, PDGF-BB, EGF, VEGF, bFGF, and collagen type I or type IV, zymography was used to examine the activity of matrix metalloproteinases 2 and 9. SDS-gel immunoblotting was used too. RESULTS: Stimulation of HSCs with PDGF-BB, TGF-beta1, and/or EGF resulted in an increase in their migratory capacity and up-regulated MMP-2 activity. And the increase of MMP-2 could enhance Migration of HSC by 4.9-fold. The migration of HSCs (3.2-fold) was induced by type I collagen and inhibited by type IV collagen (1.2-fold). Migration induced by PDGF-BB, TGF-beta1, and collagen I could be inhibited by alpha1- and/or alpha2-integrin blocking antibodies. CONCLUSION: In liver fibrosis, alterations within the space of Disse microenvironment facilitate the migration of HSCs; the mechanism is associated with up-regulation of MMP-2 and with mediation of alpha1beta1 and alpha2beta1 integrins. Extracellular matrix by it self shows feedback actions to migration of HSCs.

[The effect of ligand of peroxisome proliferators-activated receptor gamma 15d-PGJ2 on the proliferation and activation of hepatic stellate cells].

OBJECTIVE: To observe the effect of ligand of peroxisome proliferators-activated receptor gamma (PPAR gamma) 15d-PGJ2 on the proliferation and activation of hepatic stellate cells (HSC) and to study the role played by PPAR gamma during the process of HSC activation. METHODS: By using RT-PCR and cell culture, we investigated the effects of 5 micro mol/L and 10 micro mol/L 15d-PGJ2 on culture-activated HSC and on PDGF-induced HSC proliferation, production of extracellular matrix and expression of chemokines. RESULTS: The expression of alpha-SMA was significantly suppressed by 5mumol/L 15d-PGJ2, and the expression of PPAR gamma was significantly higher in the 15d-PGJ2 treated group than in the untreated group (0.64+/-0.03 vs 0.09+/-0.01, t=36.0517, P<0.01); PDGF-induced HSC proliferation was dose-dependently suppressed by 15d-PGJ2; the expressions of PPAR gamma in 5 micro mol/L and also in 10 micro mol/L 15d-PGJ2 plus PDGF pre-treated group increased much more than those in the PDGF-treated group (0.03+/-0.02 vs 0.60+/-0.03, t=42.6616, P<0.01 and 0.03+/-0.02 vs 0.69+/-0.04, t=33.83, P<0.01); the expressions of alpha-SMA, alpha 1 (I)-collagen and MCP-1 were suppressed. CONCLUSION: Activation of PPAR gamma can modulate pro-fibrotic and pro-inflammatory roles of HSC and the increased expression of PPAR gamma may become a new target for antifibrosis.

[The role of peroxisome proliferators-activated receptor gamma (PPARgamma) during activation of hepatic stellate cells].

OBJECTIVES: To observe the role of PPARgamma during the activation process of hepatic stellate cells (HSC). METHODS: By morphology and RT-PCR, we study the changes of expression of PPARgamma in culture-activated HSC or in vivo activated HSC induced by dimethylnitrosamine (DMN). RESULTS: In vitro, the expression level of PPARgamma in freshly isolated HSC (0.72+/-0.01) significantly reduced to 0.48+/-0.03 on the third day of culture (t = 19.8372, P<0.01), and reduced 70% on the seventh culture-day and could not be detected after the second passage. In vivo, HSC freshly isolated from normal control rats expressed PPARgamma (0.76+/-0.01). During the development of rat liver fibrosis induced by DMN, the expression level significantly reduced to 0.46+/-0.02 after the third injection of DMN (t = 29.5318, P<0.01), and reduced 66% on the end of first week and could not be detected on the end of second and third week. CONCLUSION: The expression of PPARgamma might play an important role on the maintenance of resting-form of HSC, and the reduction of expression of PPARgamma might be an early event during the activation process of HSC.