Literature DB >> 25753437

Tumor-infiltrating lymphocytes in breast cancer: ready for prime time?

Alberto Ocaña1, Laura Diez-Gónzález2, Encarna Adrover2, Antonio Fernández-Aramburo2, Atanasio Pandiella3, Eitan Amir4.   

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Year:  2015        PMID： 25753437     DOI： 10.1200/JCO.2014.59.7286

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN： 0732-183X            Impact factor:   44.544


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  11 in total

1.  Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.

Authors:  Chunling Liu; Jie Ding; Karl Spuhler; Yi Gao; Mario Serrano Sosa; Meghan Moriarty; Shahid Hussain; Xiang He; Changhong Liang; Chuan Huang
Journal:  J Magn Reson Imaging       Date:  2018-09-01       Impact factor: 4.813

2.  Optimizing the Peritumoral Region Size in Radiomics Analysis for Sentinel Lymph Node Status Prediction in Breast Cancer.

Authors:  Jie Ding; Shenglan Chen; Mario Serrano Sosa; Renee Cattell; Lan Lei; Junqi Sun; Prateek Prasanna; Chunling Liu; Chuan Huang
Journal:  Acad Radiol       Date:  2020-11-05       Impact factor: 5.482

3.  Features from MRI texture analysis associated with survival outcomes in triple-negative breast cancer patients.

Authors:  Saki Kamiya; Hiroko Satake; Yoko Hayashi; Satoko Ishigaki; Rintaro Ito; Mariko Kawamura; Toshiaki Taoka; Shingo Iwano; Shinji Naganawa
Journal:  Breast Cancer       Date:  2021-09-16       Impact factor: 4.239

4.  Evaluation of the prognostic value of tumor-infiltrating lymphocytes in triple-negative breast cancers.

Authors:  Tian Tian; Miao Ruan; Wentao Yang; Ruohong Shui
Journal:  Oncotarget       Date:  2016-07-12

Review 5.  Targeting oncogenic vulnerabilities in triple negative breast cancer: biological bases and ongoing clinical studies.

Authors:  Alberto Ocana; Atanasio Pandiella
Journal:  Oncotarget       Date:  2017-03-28

6.  Transcriptomic immunologic signature associated with favorable clinical outcome in basal-like breast tumors.

Authors:  Sandra Martínez-Canales; Francisco Cifuentes; Miguel López De Rodas Gregorio; Leticia Serrano-Oviedo; Eva María Galán-Moya; Eitan Amir; Atanasio Pandiella; Balázs Győrffy; Alberto Ocaña
Journal:  PLoS One       Date:  2017-05-04       Impact factor: 3.240

7.  Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.

Authors:  Nathaniel M Braman; Maryam Etesami; Prateek Prasanna; Christina Dubchuk; Hannah Gilmore; Pallavi Tiwari; Donna Plecha; Anant Madabhushi
Journal:  Breast Cancer Res       Date:  2017-05-18       Impact factor: 6.466

8.  Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions.

Authors:  Simin Wang; Yuqi Sun; Ruimin Li; Ning Mao; Qin Li; Tingting Jiang; Qianqian Chen; Shaofeng Duan; Haizhu Xie; Yajia Gu
Journal:  Eur Radiol       Date:  2021-06-29       Impact factor: 5.315

9.  Computational pathology of pre-treatment biopsies identifies lymphocyte density as a predictor of response to neoadjuvant chemotherapy in breast cancer.

Authors:  H Raza Ali; Aliakbar Dariush; Elena Provenzano; Helen Bardwell; Jean E Abraham; Mahesh Iddawela; Anne-Laure Vallier; Louise Hiller; Janet A Dunn; Sarah J Bowden; Tamas Hickish; Karen McAdam; Stephen Houston; Mike J Irwin; Paul D P Pharoah; James D Brenton; Nicholas A Walton; Helena M Earl; Carlos Caldas
Journal:  Breast Cancer Res       Date:  2016-02-16       Impact factor: 6.466

10.  Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region.

Authors:  Qiuchang Sun; Xiaona Lin; Yuanshen Zhao; Ling Li; Kai Yan; Dong Liang; Desheng Sun; Zhi-Cheng Li
Journal:  Front Oncol       Date:  2020-01-31       Impact factor: 6.244
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