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

被引：107

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

来源：

NPJ BREAST CANCER | 2020年 / 6卷 / 01期

基金：

美国国家卫生研究院; 英国医学研究理事会;

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

页数：13

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