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Therapy: Neoadjuvant Therapy
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Total 140 results found since Jan 2013.
Plasma extracellular vesicle long RNAs predict response to neoadjuvant immunotherapy and survival in patients with non-small cell lung cancer
Pharmacol Res. 2023 Sep 12:106921. doi: 10.1016/j.phrs.2023.106921. Online ahead of print.ABSTRACTNeoadjuvant immunotherapy has brought new hope for patients with non-small cell lung cancer (NSCLC). However, limited by the lack of clinically feasible markers, it is still difficult to select NSCLC patients who respond well and to predict patients' clinical outcomes before the treatment. Before the treatment, we isolated plasma extracellular vesicles (EVs) from three cohorts (discovery, training and validation) of 78 NSCLC patients treated with neoadjuvant immunotherapy. To identify differentially-expressed EV long RNAs (exL...
Source: Cell Research - September 14, 2023 Category: Cytology Authors: Wei Guo Bolun Zhou Liang Zhao Qilin Huai Fengwei Tan Qi Xue Fang Lv Shugeng Gao Jie He Source Type: research
Prediction of Tumor PD-L1 Expression in Resectable Non-Small Cell Lung Cancer by Machine Learning Models Based on Clinical and Radiological Features: Performance Comparison With Preoperative Biopsy
CONCLUSIONS: Our machine learning could be an adjunctive tool in estimating PD-L1 expression prior to neoadjuvant treatment, particularly when PD-L1 is indeterminable with biopsy.PMID:37673781 | DOI:10.1016/j.cllc.2023.08.010
Source: Clinical Lung Cancer - September 6, 2023 Category: Cancer & Oncology Authors: Kohei Hashimoto Yu Murakami Kenshiro Omura Hikaru Takahashi Ryoko Suzuki Yasuo Yoshioka Masahiko Oguchi Junji Ichinose Yosuke Matsuura Masayuki Nakao Sakae Okumura Hironori Ninomiya Makoto Nishio Mingyon Mun Source Type: research
Predicting Rectal Cancer Response to Total Neoadjuvant Treatment Using an Artificial Intelligence Model Based on Magnetic Resonance Imaging and Clinical Data
CONCLUSION: There was no significant difference between LR model and DL model. Artificial Intelligence-based radiomics biomarkers may have potential clinical implications for adaptive and personalized therapy.PMID:37431270 | DOI:10.1177/15330338231186467
Source: Technology in Cancer Research and Treatment - July 11, 2023 Category: Cancer & Oncology Authors: Ganlu Ouyang Zhebin Chen Meng Dou Xu Luo Han Wen Xiangbing Deng Wenjian Meng Yongyang Yu Bing Wu Dan Jiang Ziqiang Wang Yu Yao Xin Wang Source Type: research
Development and validation of a nomogram for predicting overall survival of resected N2 non-small cell lung cancer patients undergoing neoadjuvant radiotherapy
CONCLUSIONS: We developed and validated a nomogram to predict prognosis of resected N2 NSCLC patients undergoing neoadjuvant radiotherapy. Using this nomogram, clinicians may find this nomogram useful in predicting OS of targeted patients and making more appropriate treatment decisions.PMID:37407846 | DOI:10.1007/s00432-023-05073-7
Source: Clinical Lung Cancer - July 5, 2023 Category: Cancer & Oncology Authors: Jiaxin Shi Bo Peng Chenghao Wang Xiang Zhou Tong Lu Ran Xu Xiaoyan Chang Zhiping Shen Kaiyu Wang Chengyu Xu Linyou Zhang Source Type: research
A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies
CONCLUSIONS: The results demonstrate a high potential of the proposed hierarchical deep-learning methodology for analyzing digital pathology images of pre-treatment tumor biopsies to predict the pathological response of breast cancer to NAC.PMID:37403567 | DOI:10.1002/mp.16574
Source: Health Physics - July 5, 2023 Category: Physics Authors: Khadijeh Saednia William T Tran Ali Sadeghi-Naini Source Type: research
Development and validation of a nomogram for predicting overall survival of resected N2 non-small cell lung cancer patients undergoing neoadjuvant radiotherapy
CONCLUSIONS: We developed and validated a nomogram to predict prognosis of resected N2 NSCLC patients undergoing neoadjuvant radiotherapy. Using this nomogram, clinicians may find this nomogram useful in predicting OS of targeted patients and making more appropriate treatment decisions.PMID:37407846 | DOI:10.1007/s00432-023-05073-7
Source: Clinical Lung Cancer - July 5, 2023 Category: Cancer & Oncology Authors: Jiaxin Shi Bo Peng Chenghao Wang Xiang Zhou Tong Lu Ran Xu Xiaoyan Chang Zhiping Shen Kaiyu Wang Chengyu Xu Linyou Zhang Source Type: research
A hierarchical self-attention-guided deep learning framework to predict breast cancer response to chemotherapy using pre-treatment tumor biopsies
CONCLUSIONS: The results demonstrate a high potential of the proposed hierarchical deep-learning methodology for analyzing digital pathology images of pre-treatment tumor biopsies to predict the pathological response of breast cancer to NAC.PMID:37403567 | DOI:10.1002/mp.16574
Source: Health Physics - July 5, 2023 Category: Physics Authors: Khadijeh Saednia William T Tran Ali Sadeghi-Naini Source Type: research
Development and Validation of PET/CT-Based Nomogram for Preoperative Prediction of Lymph Node Status in Esophageal Squamous Cell Carcinoma
CONCLUSIONS: The nomogram constructed from PET-CT parameters including primary tumor metabolic length and thickness can accurately predict the risk of lymph node metastasis in ESCC. The risk score calculated by our model accurately predicts the patient's 5-year overall survival.PMID:37355519 | DOI:10.1245/s10434-023-13694-y
Source: Ann Oncol - June 24, 2023 Category: Cancer & Oncology Authors: Shaoyuan Zhang Linyi Sun Danjie Cai Guobing Liu Dongxian Jiang Jun Yin Yong Fang Hao Wang Yaxing Shen Yingyong Hou Hongcheng Shi Lijie Tan Source Type: research
A Prehabilitation Program in Patients with Breast Cancer Receiving Neoadjuvant Therapy to Minimize Musculoskeletal Postoperative Complications and Enhance Recovery (PREOPtimize): A Protocol for a Randomized Controlled Trial
Phys Ther. 2023 Jun 15:pzad062. doi: 10.1093/ptj/pzad062. Online ahead of print.ABSTRACTOBJECTIVE: The aim of this study is to assess the effects of a prehabilitation program (PREOPtimize), consisting of Nordic Walking and resistance training exercises plus health education in patients with breast cancer who are receiving neoadjuvant therapy to enhance postoperative functionality of the affected arm. A secondary aim will be to compare the short-term effects of the intervention on other patient-reported outcome measures.METHODS: This will be an assessor-blind, randomized controlled trial with a parallel group design conduct...
Source: Health Physics - June 15, 2023 Category: Physics Authors: Anabel Casanovas- Álvarez Raquel Sebio-Garc ía Magda Ciendones Jordi Cuartero Blanca Estanyol Josep Padr ós B árbara García-Valdecasas Agust í Barnadas Jaume Masi à Source Type: research
Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study
CONCLUSIONS: The combined nomogram could preoperatively predict significant remission or even pCR to NAC in breast cancer based on multiparametric MRI and clinical-pathologic data.PMID:37321954 | DOI:10.1016/j.clbc.2023.05.010
Source: Clinical Genitourinary Cancer - June 15, 2023 Category: Cancer & Oncology Authors: Xiaolin Wang Hui Hua Junqi Han Xin Zhong Jingjing Liu Jingjing Chen Source Type: research
A Prehabilitation Program in Patients with Breast Cancer Receiving Neoadjuvant Therapy to Minimize Musculoskeletal Postoperative Complications and Enhance Recovery (PREOPtimize): A Protocol for a Randomized Controlled Trial
Phys Ther. 2023 Jun 15:pzad062. doi: 10.1093/ptj/pzad062. Online ahead of print.ABSTRACTOBJECTIVE: The aim of this study is to assess the effects of a prehabilitation program (PREOPtimize), consisting of Nordic Walking and resistance training exercises plus health education in patients with breast cancer who are receiving neoadjuvant therapy to enhance postoperative functionality of the affected arm. A secondary aim will be to compare the short-term effects of the intervention on other patient-reported outcome measures.METHODS: This will be an assessor-blind, randomized controlled trial with a parallel group design conduct...
Source: Physical Therapy - June 15, 2023 Category: Physiotherapy Authors: Anabel Casanovas- Álvarez Raquel Sebio-Garc ía Magda Ciendones Jordi Cuartero Blanca Estanyol Josep Padr ós B árbara García-Valdecasas Agust í Barnadas Jaume Masi à Source Type: research
Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study
CONCLUSIONS: The combined nomogram could preoperatively predict significant remission or even pCR to NAC in breast cancer based on multiparametric MRI and clinical-pathologic data.PMID:37321954 | DOI:10.1016/j.clbc.2023.05.010
Source: Clinical Breast Cancer - June 15, 2023 Category: Cancer & Oncology Authors: Xiaolin Wang Hui Hua Junqi Han Xin Zhong Jingjing Liu Jingjing Chen Source Type: research
