Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

被引:102
作者
Amgad, Mohamed [1 ]
Stovgaard, Elisabeth Specht [2 ]
Balslev, Eva [2 ]
Thagaard, Jeppe [3 ,4 ]
Chen, Weijie [5 ]
Dudgeon, Sarah [5 ]
Sharma, Ashish [1 ]
Kerner, Jennifer K. [6 ]
Denkert, Carsten [7 ,8 ,9 ]
Yuan, Yinyin [10 ,11 ]
AbdulJabbar, Khalid [10 ,11 ]
Wienert, Stephan [7 ]
Savas, Peter [12 ,13 ]
Voorwerk, Leonie [14 ]
Beck, Andrew H. [6 ]
Madabhushi, Anant [15 ,16 ]
Hartman, Johan [17 ,18 ]
Sebastian, Manu M. [19 ,20 ]
Horlings, Hugo M. [21 ]
Hudecek, Jan [22 ]
Ciompi, Francesco [23 ]
Moore, David A. [24 ,25 ]
Singh, Rajendra [25 ]
Roblin, Elvire [26 ]
Balancin, Marcelo Luiz [27 ]
Mathieu, Marie-Christine [28 ]
Lennerz, Jochen K. [29 ]
Kirtani, Pawan [30 ]
Chen, I-Chun [31 ]
Braybrooke, Jeremy P. [32 ,33 ]
Pruneri, Giancarlo [34 ,35 ]
Demaria, Sandra [36 ]
Adams, Sylvia [37 ]
Schnitt, Stuart J. [38 ]
Lakhani, Sunil R. [39 ]
Rojo, Federico [40 ,41 ]
Comerma, Laura [40 ,41 ]
Badve, Sunil S. [42 ]
Khojasteh, Mehrnoush [43 ]
Symmans, W. Fraser [44 ]
Sotiriou, Christos [45 ,46 ]
Gonzalez-Ericsson, Paula [47 ]
Pogue-Geile, Katherine L. [48 ]
Kim, Rim S. [48 ]
Rimm, David L. [49 ]
Viale, Giuseppe [50 ,51 ]
Hewitt, Stephen M. [52 ]
Bartlett, John M. S. [53 ,54 ]
Penault-Llorca, Frederique [55 ,56 ]
Goel, Shom [57 ]
机构
[1] Emory Univ, Sch Med, Dept Biomed Informat, Atlanta, GA USA
[2] Univ Copenhagen, Herlev & Gentofte Hosp, Dept Pathol, Herlev, Denmark
[3] Tech Univ Denmark, Dept Appl Math, DTU Compute, Lyngby, Denmark
[4] Visiopharm AS, Horsholm, Denmark
[5] FDA CDRH OSEL, Div Imaging Diagnost & Software Reliabil, Silver Spring, MD USA
[6] PathAI, Cambridge, MA USA
[7] Philipps Univ Marburg, Univ Klinikum Giessen & Marburg GmbH, Inst Pathol, Standort Marburg, Marburg, Germany
[8] Philipps Univ Marburg, Inst Pathol, Marburg, Germany
[9] German Canc Consortium DKTK, Partner Site Charite, Berlin, Germany
[10] Inst Canc Res, Ctr Evolut & Canc, London, England
[11] Inst Canc Res, Div Mol Pathol, London, England
[12] Univ Melbourne, Div Res & Canc Med, Peter MacCallum Canc Ctr, Melbourne, Vic, Australia
[13] Univ Melbourne, Sir Peter MacCallum Dept Oncol, Parkville, Vic, Australia
[14] Netherlands Canc Inst, Dept Tumor Biol & Immunol, Amsterdam, Netherlands
[15] Case Western Reserve Univ, Dept Biomed Engn, Cleveland, OH 44106 USA
[16] Louis Stokes Cleveland Vet Adm Med Ctr, Cleveland, OH USA
[17] Karolinska Inst, Dept Pathol & Oncol, Solna, Sweden
[18] Univ Hosp, Solna, Sweden
[19] Univ Texas MD Anderson Canc Ctr, Dept Epigenet, Houston, TX 77030 USA
[20] Univ Texas MD Anderson Canc Ctr, Dept Mol Carcinogenesis, Houston, TX 77030 USA
[21] Netherlands Canc Inst, Div Mol Pathol, Amsterdam, Netherlands
[22] Netherlands Canc Inst, Dept Res IT, Amsterdam, Netherlands
[23] Radboud Univ Nijmegen, Med Ctr, Dept Pathol, Nijmegen, Netherlands
[24] UCL Canc Inst, Dept Pathol, London, England
[25] Icahn Sch Med Mt Sinai, Dept Pathol & Lab Med, New York, NY 10029 USA
[26] Univ Paris Sud, Univ Paris Saclay, Villejuif, France
[27] Univ Sao Paulo, Fac Med, Dept Pathol, Sao Paulo, Brazil
[28] Gustave Roussy Canc Campus, Dept Mol Biol & Pathol, Villejuif, France
[29] Massachusetts Gen Hosp, Dept Pathol, Boston, MA 02114 USA
[30] Manipal Hosp Dwarka, Dept Histopathol, New Delhi, India
[31] Natl Taiwan Univ, Ctr Canc, Dept Oncol, Taipei, Taiwan
[32] Univ Oxford, Nuffield Dept Populat Hlth, Oxford, England
[33] Univ Hosp Bristol NHS Fdn Trust, Dept Med Oncol, Bristol, Avon, England
[34] Ist Nazl Tumori, Fdn IRCCS, Dept Pathol, Milan, Italy
[35] Univ Milan, Sch Med, Milan, Italy
[36] Weill Cornell Med Coll, New York, NY USA
[37] NYU Langone Med Ctr, Laura & Isaac Perlmutter Canc Ctr, New York, NY USA
[38] Brigham & Womens Hosp, Dept Pathol, 75 Francis St, Boston, MA 02115 USA
[39] Univ Queensland, Ctr Clin Res & Pathol, Brisbane, Qld, Australia
[40] CIBERONC Inst Invest Sanitaria Fdn Jimenez Diaz I, Dept Pathol, Madrid, Spain
[41] GEICAM Spanish Breast Canc Res Grp, Madrid, Spain
[42] Indiana Univ Sch Med, Dept Pathol & Lab Med, Indianapolis, IN 46202 USA
[43] Roche Tissue Diagnost, Digital Pathol, Santa Clara, CA USA
[44] Univ Texas MD Anderson Canc Ctr, Dept Pathol, Houston, TX 77030 USA
[45] Univ Libre Bruxelles ULB, Inst Jules Bordet, Breast Canc Translat Res Lab, Brussels, Belgium
[46] Univ Libre Bruxelles, ULB Canc Res Ctr U CRC, Brussels, Belgium
[47] Vanderbilt Univ, Med Ctr, Vanderbilt Ingram Canc Ctr, Breast Canc Program, Nashville, TN USA
[48] NRG Oncol NSABP, Pittsburgh, PA USA
[49] Yale Univ, Sch Med, Dept Pathol, New Haven, CT 06510 USA
[50] European Inst Oncol IRCCS, IEO, Dept Pathol, Milan, Italy
基金
美国国家卫生研究院;
关键词
BREAST-CANCER; STANDARDIZED METHOD; DIGITAL PATHOLOGY; QUALITY-CONTROL; IMAGE-ANALYSIS; SOLID TUMORS; T-CELLS; IN-SITU; TILS; CLASSIFICATION;
D O I
10.1038/s41523-020-0154-2
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which helped to reduce inter-reader variability. Now, there are ripe opportunities to employ computational methods that extract spatio-morphologic predictive features, enabling computer-aided diagnostics. We detail the benefits of computational TILs assessment, the readiness of TILs scoring for computational assessment, and outline considerations for overcoming key barriers to clinical translation in this arena. Specifically, we discuss: 1. ensuring computational workflows closely capture visual guidelines and standards; 2. challenges and thoughts standards for assessment of algorithms including training, preanalytical, analytical, and clinical validation; 3. perspectives on how to realize the potential of machine learning models and to overcome the perceptual and practical limits of visual scoring.
引用
收藏
页数:13
相关论文
共 97 条
  • [1] Methods and Challenges in Quantitative Imaging Biomarker Development
    Abramson, Richard G.
    Burton, Kirsteen R.
    Yu, John-Paul J.
    Scalzetti, Ernest M.
    Yankee, Thomas E.
    Rosenkrantz, Andrew B.
    Mendiratta-Lala, Mishal
    Barth, Brian J.
    Ganeshan, Dhakshinamoorthy
    Lenchik, Leon
    Subramaniam, Rathan M.
    [J]. ACADEMIC RADIOLOGY, 2015, 22 (01) : 25 - 32
  • [2] Ki-67 as a controversial predictive and prognostic marker in breast cancer patients treated with neoadjuvant chemotherapy
    Acs, Balazs
    Zambo, Veronika
    Vizkeleti, Laura
    Szazs, A. Marcell
    Madaras, Lilla
    Szentmartoni, Gyongyver
    Tokes, Timea
    Molnar, Bela A.
    Molnar, Istvan Artur
    Vari-Kakas, Stefan
    Kulka, Janina
    Tokes, Anna-Maria
    [J]. DIAGNOSTIC PATHOLOGY, 2017, 12 : 1 - 12
  • [3] Joint Region and Nucleus Segmentation for Characterization of Tumor Infiltrating Lymphocytes in Breast Cancer
    Amgad, Mohamed
    Sarkar, Anindya
    Srinivas, Chukka
    Redman, Rachel
    Ratra, Simrath
    Bechert, Charles J.
    Calhoun, Benjamin C.
    Mrazeck, Karen
    Kurkure, Uday
    Cooper, Lee A. D.
    Barnes, Michael
    [J]. MEDICAL IMAGING 2019: DIGITAL PATHOLOGY, 2019, 10956
  • [4] Structured crowdsourcing enables convolutional segmentation of histology images
    Amgad, Mohamed
    Elfandy, Habiba
    Hussein, Hagar
    Atteya, Lamees A.
    Elsebaie, Mai A. T.
    Elnasr, Lamia S. Abo
    Sakr, Rokia A.
    Salem, Hazem S. E.
    Ismail, Ahmed F.
    Saad, Anas M.
    Ahmed, Joumana
    Elsebaie, Maha A. T.
    Rahman, Mustafijur
    Ruhban, Inas A.
    Elgazar, Nada M.
    Alagha, Yahya
    Osman, Mohamed H.
    Alhusseiny, Ahmed M.
    Khalaf, Mariam M.
    Younes, Abo-Alela F.
    Abdulkarim, Ali
    Younes, Duaa M.
    Gadallah, Ahmed M.
    Elkashash, Ahmad M.
    Fala, Salma Y.
    Zaki, Basma M.
    Beezley, Jonathan
    Chittajallu, Deepak R.
    Manthey, David
    Gutman, David A.
    Cooper, Lee A. D.
    [J]. BIOINFORMATICS, 2019, 35 (18) : 3461 - 3467
  • [5] Anderson R, 2010, METHODS MOL BIOL, V659, P83, DOI 10.1007/978-1-60761-789-1_6
  • [6] St. Gallen/Vienna 2019: A Brief Summary of the Consensus Discussion on the Optimal Primary Breast Cancer Treatment
    Balic, Marija
    Thomssen, Christoph
    Wuerstlein, Rachel
    Gnant, Michael
    Harbeck, Nadia
    [J]. BREAST CARE, 2019, 14 (02) : 103 - 110
  • [7] Spatial interaction of tumor cells and regulatory T cells correlates with survival in non-small cell lung cancer
    Barua, Souptik
    Fang, Penny
    Sharma, Amrish
    Fujimoto, Junya
    Wistuba, Ignacio
    Rao, Arvind U. K.
    Lin, Steven H.
    [J]. LUNG CANCER, 2018, 117 : 73 - 79
  • [8] Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+Breast Cancer Histopathology
    Basavanhally, Ajay Nagesh
    Ganesan, Shridar
    Agner, Shannon
    Monaco, James Peter
    Feldman, Michael D.
    Tomaszewski, John E.
    Bhanot, Gyan
    Madabhushi, Anant
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2010, 57 (03) : 642 - 653
  • [9] Open Access to Large Scale Datasets Is Needed to Translate Knowledge of Cancer Heterogeneity into Better Patient Outcomes
    Beck, Andrew H.
    [J]. PLOS MEDICINE, 2015, 12 (02)
  • [10] Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
    Beck, Andrew H.
    Sangoi, Ankur R.
    Leung, Samuel
    Marinelli, Robert J.
    Nielsen, Torsten O.
    van de Vijver, Marc J.
    West, Robert B.
    van de Rijn, Matt
    Koller, Daphne
    [J]. SCIENCE TRANSLATIONAL MEDICINE, 2011, 3 (108)