Article
Oncology
Hao Cui, Dantong Zhao, Peng Han, Xudong Zhang, Wei Fan, Xiaoxuan Zuo, Panting Wang, Nana Hu, Hanqing Kong, Fuhui Peng, Ying Wang, Jiawei Tian, Lei Zhang
Summary: This study evaluated the efficiency of a nomogram based on ultrasound and clinicopathological features for predicting pCR after neoadjuvant chemotherapy in breast cancer. The two-cycle response nomogram showed better discrimination, with size shrinkage identified as an important independent factor in predicting pCR.
FRONTIERS IN ONCOLOGY
(2021)
Article
Endocrinology & Metabolism
Bei Qian, Jing Yang, Jun Zhou, Longqing Hu, Shoupeng Zhang, Min Ren, Xincai Qu
Summary: This study developed and validated a nomogram for predicting the probability of pathological complete response (pCR) in breast cancer (BC) patients after neoadjuvant chemotherapy (NACT) based on clinicopathological features. The nomogram showed good discrimination, calibration, and clinical usefulness, and could be used to personalize the prediction of pCR in BC patients treated with NACT.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Oncology
Rulan Ma, Wanzhen Wei, Haixia Ye, Chengxue Dang, Kang Li, Dawei Yuan
Summary: This study aimed to investigate the role of platelet-to-lymphocyte ratio (PLR) in the complete pathological response (pCR) of breast cancer (BC) patients after neoadjuvant chemotherapy (NAC) and establish a predictive algorithm model for pCR. The results showed that PLR, platelet count, white blood cell count, and tumor grade were independent predictors of pCR in BC patients after NAC. The findings of this study are of significant importance in predicting treatment outcomes in BC patients.
Article
Oncology
Meng Jiang, Chang-Li Li, Xiao-Mao Luo, Zhi-Rui Chuan, Wen-Zhi Lv, Xu Li, Xin-Wu Cui, Christoph F. Dietrich
Summary: The study developed and validated a deep learning radiomic nomogram for predicting pathological complete response in breast cancer patients after neoadjuvant chemotherapy using pre- and post-treatment ultrasound images. The model demonstrated high accuracy, good calibration, and outperformed clinical models and experts' predictions. The deep learning-based radiomic nomogram showed good predictive value and clinical usefulness for individualized treatment in locally advanced breast cancer.
EUROPEAN JOURNAL OF CANCER
(2021)
Article
Oncology
Yiqun Han, Jiayu Wang, Binghe Xu
Summary: This study developed and validated a prediction model for the pathological complete response (pCR) to neoadjuvant chemotherapy of triple-negative breast cancer (TNBC). A six-gene panel was identified, and a robust nomogram was established, which included pRS and clinical tumor size stage as independent predictors for pCR rate. The performance of the model was validated through calibration curves and receiver operating characteristic curves, showing promising results with an area under curve of 0.704 and 0.756, respectively. Additionally, Gene Set Enrichment Analysis revealed potential biological processes and oncogenic features contributing to distinct response to NCT in TNBC.
Article
Oncology
Siyi Lu, Zhenzhen Liu, Yuxia Wang, Yan Meng, Ran Peng, Ruize Qu, Zhipeng Zhang, Wei Fu, Hao Wang
Summary: This study aimed to investigate whether clinical and blood parameters can be used to predict pathological complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) in patients with locally advanced rectal cancer. Through regression analysis, clinical and blood predictors for achieving pCR were identified and models were constructed for comparison and evaluation. The results showed that the clinical-blood parameters model performed better than other models in predicting pCR.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jing Li, Hongkun Yin, Yi Wang, Hongkai Zhang, Fei Ma, Hailiang Li, Jinrong Qu
Summary: The study aimed to build and validate a multi-parametric MRI-based radiomics nomogram for early prediction of treatment response to neoadjuvant chemotherapy (NAC) in locally advanced gastric cancer (LAGC). Retrospective analysis of baseline MRI was performed from 141 patients with gastric adenocarcinoma who received NAC followed by radical gastrectomy. The mpMRI radiomics nomogram showed preferable performance in predicting pathologic response to NAC in LAGC.
EUROPEAN RADIOLOGY
(2023)
Article
Oncology
Xian-Wen Liang, Wei-Sheng Xiao, Hao Lei, Qian-Cheng Huag, Yu-Lan Dong, Fang Wang, Wei-Peng Qing
Summary: This study analyzed clinical data from 867 gastric cancer patients and identified factors related to neoadjuvant chemotherapy response. A prediction model was constructed to guide the best treatment strategy for gastric cancer patients.
Article
Health Care Sciences & Services
Ailin Lan, Han Li, Junru Chen, Meiying Shen, Yudi Jin, Yuran Dai, Linshan Jiang, Xin Dai, Yang Peng, Shengchun Liu
Summary: This study developed two robust and effective nomogram models for predicting disease-free survival in non-pCR breast cancer patients treated with neoadjuvant chemotherapy. The models showed good discrimination and calibration in both internal and external validation, especially in the triple-negative subtype. Patients in the high-risk group had significantly lower survival rates.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Biology
Chang Gong, Ziliang Cheng, Yaping Yang, Jun Shen, Yingying Zhu, Li Ling, Wanyi Lin, Zhigang Yu, Zhihua Li, Weige Tan, Chushan Zheng, Wenbo Zheng, Jiajie Zhong, Xiang Zhang, Yunjie Zeng, Qiang Liu, R. Stephanie Huang, Andrzej L. Komorowski, Eddy S. Yang, Francois Bertucci, Francesco Ricci, Armando Orlandi, Gianluca Franceschini, Kazuaki Takabe, Suzanne Klimberg, Naohiro Ishii, Angela Toss, Mona P. Tan, Mathew A. Cherian, Erwei Song
Summary: This study developed a model based on a 10-microRNA risk score that accurately predicts the pathological complete response to neoadjuvant chemotherapy in patients with hormone receptor-positive breast cancer. The model was also validated to be associated with disease-free survival.
SCIENCE CHINA-LIFE SCIENCES
(2022)
Article
Medicine, General & Internal
Wenyan Wang, Xin Wang, Jiaqi Liu, Qiang Zhu, Xiang Wang, Pilin Wang
Summary: A predictive clinical model was developed to assess the pathological complete response of axillary lymph nodes in breast cancer patients after neoadjuvant chemotherapy. The model performed well in external validation and could provide information to surgeons regarding additional lymph node dissection.
CHINESE MEDICAL JOURNAL
(2022)
Article
Oncology
Siming Gao, Wenjie Tang, Bingli Zuo, Lianne Mulvihill, Jinming Yu, Yishan Yu
Summary: This study investigates the predictive role of neutrophil-to-lymphocyte ratio (NLR) in overall survival (OS) and pathologic complete response (pCR) in breast cancer patients undergoing neoadjuvant chemotherapy (NAC). A total of 501 patients were included in the retrospective analysis, and it was found that NLR was correlated with OS and pCR. A novel model for predicting OS was established, and it was also observed that non-pCR patients experienced an increase in NLR during NAC.
FRONTIERS IN ONCOLOGY
(2023)
Review
Oncology
Ana Julia Aguiar de Freitas, Rhafaela Lima Causin, Muriele Bertagna Varuzza, Cassio Murilo Trovo Hidalgo Filho, Vinicius Duval da Silva, Cristiano de Padua Souza, Marcia Maria Chiquitelli Marques
Summary: Breast cancer is the most common cancer in women worldwide, and personalized medicine requires a combination of clinical and molecular characterization for more effective treatment. Current studies aim to develop more personalized therapies to decrease the adverse effects of chemotherapy.
Article
Surgery
Alex B. Blair, Ling-Di Yin, Ning Pu, Jun Yu, Vincent P. Groot, Noah S. Rozich, Ammar A. Javed, Lei Zheng, John L. Cameron, Richard A. Burkhart, Matthew J. Weiss, Christopher L. Wolfgang, Jin He
Summary: The study demonstrates that achieving a pCR following neoadjuvant therapy in patients with advanced PDAC is associated with significant survival, although about half of patients experience recurrence. However, patients with pCR and recurrence respond well to treatment, leading to encouraging survival outcomes.
Article
Oncology
Hao Zhong, Tongyu Wang, Mingyu Hou, Xiaodong Liu, Yulong Tian, Shougen Cao, Zequn Li, Zhenlong Han, Gan Liu, Yuqi Sun, Cheng Meng, Yujun Li, Yanxia Jiang, Qinglian Ji, Dapeng Hao, Zimin Liu, Yanbing Zhou
Summary: We aimed to construct and validate a deep learning radiomics nomogram using baseline and restage enhanced computed tomography images and clinical characteristics to predict the response of metastatic lymph nodes to neoadjuvant chemotherapy in locally advanced gastric cancer.
ANNALS OF SURGICAL ONCOLOGY
(2023)
Article
Gastroenterology & Hepatology
Shi Chen, Xi-Jie Chen, Dong-Wen Chen, Jun Xiang, Jun-Sheng Peng
GASTROENTEROLOGY REPORT
(2018)
Article
Oncology
Shi Chen, Xijie Chen, Runcong Nie, Liying Ou Yang, Aihong Liu, Yuanfang Li, Zhiwei Zhou, Yingbo Chen, Junsheng Peng
CHINESE JOURNAL OF CANCER RESEARCH
(2018)
Article
Medicine, Research & Experimental
Shi Chen, Dong-Wen Chen, Xi-Jie Chen, Yi-Jia Lin, Jun Xiang, Jun Sheng Peng
Review
Oncology
Xiao-Han Jiang, Xi-Jie Chen, Qin-Qin Xie, Yong-Shen Feng, Shi Chen, Jun-Sheng Peng
EUROPEAN JOURNAL OF CANCER CARE
(2020)
Article
Oncology
Xiao-han Jiang, Xi-jie Chen, Xin-you Wang, Yun-zhi Chen, Qin-qin Xie, Jun-sheng Peng
Summary: This study found that glutamine may have a positive impact on reducing postoperative complications and hospital stays in colorectal cancer patients, providing some evidence for optimal immunonutrition formulas. Further large-scale randomized controlled trials are needed for more conclusive results.
NUTRITION AND CANCER-AN INTERNATIONAL JOURNAL
(2021)
Article
Oncology
Yong-He Chen, Jun Lu, Run-Cong Nie, Dan Liu, Ai-Hong Liu, Zi-Jian Deng, Xi-Jie Chen, Jun Xiang, Ying-Bo Chen, Chang-Ming Huang, Shi Chen, Jun-Sheng Peng
Summary: This study analyzed data from 1,177 patients with stage II gastric cancer and found that retrieving 30 or more lymph nodes has a significant impact on patient survival, especially in certain subgroups. For selected stage II gastric cancer patients, retrieving 30 lymph nodes is mandatory.
FRONTIERS IN ONCOLOGY
(2021)
Letter
Oncology
Liang Xu, Yanyun Lin, Xijie Chen, Lisheng Zheng, Yufeng Cheng, Jiancong Hu, Bin Zheng, Bin Zhang, Guanman Li, Zengjie Chi, Shuang Guo, Danling Liu, Xiaosheng He, Ping Lan
CLINICAL AND TRANSLATIONAL MEDICINE
(2021)
Article
Gastroenterology & Hepatology
Xijie Chen, Jiancong Hu, Liang Xu, Junguo Chen, Yanyun Lin, Zengjie Chi, Xiaosheng He, Ping Lan
Summary: The study revealed that the pathological type of villous architecture is independently associated with the mortality rate of colon adenocarcinoma patients, while age, race, tumor size, stage, and chemotherapy were identified as independent risk factors for mortality. Interestingly, villous adenocarcinoma had a higher mortality rate compared to tubulovillous adenocarcinoma, with established nomograms showing excellent predictive accuracy.
INTERNATIONAL JOURNAL OF COLORECTAL DISEASE
(2021)
Article
Oncology
Xijie Chen, Shi Chen, Xinyou Wang, Runcong Nie, Dongwen Chen, Jun Xiang, Yijia Lin, Yingbo Chen, Junsheng Peng
CHINESE JOURNAL OF CANCER RESEARCH
(2020)
Review
Oncology
Xi-Jie Chen, Yun-Zhi Chen, Dong-Wen Chen, Ying-Liang Chen, Jun Xiang, Yi-jia Lin, Shi Chen, Jun-Sheng Peng