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4. Additional file 1 of Prognostic impact of tertiary lymphoid structures in breast cancer prognosis: a systematic review and meta-analysis

Author

Zhang, Na-Na, Qu, Feng-Jin, Liu, Hao, Li, Zhu-Jun, Zhang, Yu-Chi, Han, Xuan, Zhu, Zi-Yu, and Lv, Yi

Abstract

Additional file 1: Table S1. The original data and chi-square test for the TLSs and clinicopathologic parameters. Table S2 The original data and chi-square test for the TLSs and related gene expression. Table S3. NOS scores of included studies.

Published
2021
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5. Changing trends of clinicopathologic features and survival duration after surgery for gastric cancer in Northeast China

Author

Zhai, Zhao, primary, Zhu, Zi-Yu, additional, Cong, Xi-Liang, additional, Han, Bang-Ling, additional, Gao, Jia-Liang, additional, Yin, Xin, additional, Zhang, Yu, additional, Lou, Sheng-Han, additional, Fang, Tian-Yi, additional, Wang, Yi-Min, additional, Li, Chun-Feng, additional, Yu, Xue-Feng, additional, Ma, Yan, additional, and Xue, Ying-Wei, additional

Published
2020
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7. MOESM1 of Sleep deprivation of rats increases postsurgical expression and activity of L-type calcium channel in the dorsal root ganglion and slows recovery from postsurgical pain

Author

Li, Qi, Zhu, Zi-Yu, Lu, Jian, Yu-Chieh Chao, Zhou, Xiao-Xin, Huang, Ying, Chen, Xue-Mei, Dian-San Su, Yu, Wei-Feng, and Xi-Yao Gu

Subjects
nervous system
Abstract

Additional file 1. Figure S1. Expression of T-type LVA channel protein did not change in the lumbar(L4-6) DRG neurons of rats subjected to perioperative SD. Figure S2. Perioperative SD increases the acitivity of HVA calcium channels and L-type calcium channels in medium/small DRG neurons at 9 days after surgery. Figure S3. Perioperative SD increases the hyperexcitability of medium/small DRG neurons at 9 days after surgery. Figure S4. Blocking L-type HVA channels in the lumbar DRG with nifedipine or a spcific shRNA does not affect response in the contralateral(control) paws. Figure S5. Specific knockdown of L-type HVA channels in the lumbar DRG inhibits total HVA-activated calcium channels and L-type calcium channels in medium/small DRG neurons at 9 days after surgery in rats subjected to perioperative SD. Table S1. Membrane input resistance and other action potential parameters in DRG neurons day 9 after incision or sham surgery. Table S2. Membrane input resistance and other action potential parameters in DRG neurons with virus injection day 9 after incision+sleep deprivation. Method S1. Viral vector mapping and sequencing report.

Published
2019
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12. Cutaneous clear cell/signet-ring cell squamous cell carcinoma arising in the right thigh of a patient with type 2 diabetes: combined morphologic, immunohistochemical, and etiologic analysis

Author

Wang, Nong-Rong, primary, Wang, Meng-Meng, additional, Zhou, Lv, additional, Liu, Ze-Lin, additional, Chen, Nan-Ping, additional, Hu, Jin-Ping, additional, Deng, Yan-Juan, additional, Qi, Xiao-Qing, additional, Huang, Xiao-Feng, additional, Su, Yue, additional, Zhang, Si-Yao, additional, Tong, Fei, additional, Zhang, Yu, additional, Lu, Qi, additional, Zhu, Zi-Yu, additional, and Deng, Huan, additional

Published
2016
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15. Machine learning algorithms able to predict the prognosis of gastric cancer patients treated with immune checkpoint inhibitors.

Author

Li HW, Zhu ZY, Sun YF, Yuan CY, Wang MH, Wang N, and Xue YW

Subjects
Humans, Male, Female, Middle Aged, Aged, Prognosis, Progression-Free Survival, Biomarkers, Tumor analysis, Adult, Retrospective Studies, Algorithms, Aged, 80 and over, Predictive Value of Tests, Decision Trees, Stomach Neoplasms drug therapy, Stomach Neoplasms mortality, Stomach Neoplasms immunology, Stomach Neoplasms pathology, Immune Checkpoint Inhibitors therapeutic use, Immune Checkpoint Inhibitors adverse effects, Machine Learning
Abstract

Background: Although immune checkpoint inhibitors (ICIs) have demonstrated significant survival benefits in some patients diagnosed with gastric cancer (GC), existing prognostic markers are not universally applicable to all patients with advanced GC., Aim: To investigate biomarkers that predict prognosis in GC patients treated with ICIs and develop accurate predictive models., Methods: Data from 273 patients diagnosed with GC and distant metastasis, who un-derwent ≥ 1 cycle(s) of ICIs therapy were included in this study. Patients were randomly divided into training and test sets at a ratio of 7:3. Training set data were used to develop the machine learning models, and the test set was used to validate their predictive ability. Shapley additive explanations were used to provide insights into the best model., Results: Among the 273 patients with GC treated with ICIs in this study, 112 died within 1 year, and 129 progressed within the same timeframe. Five features related to overall survival and 4 related to progression-free survival were identified and used to construct eXtreme Gradient Boosting (XGBoost), logistic regression, and decision tree. After comprehensive evaluation, XGBoost demonstrated good accuracy in predicting overall survival and progression-free survival., Conclusion: The XGBoost model aided in identifying patients with GC who were more likely to benefit from ICIs therapy. Patient nutritional status may, to some extent, reflect prognosis., Competing Interests: Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article., (©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.)

Published
2024
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