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Your search keyword '"Kirtani, P"' showing total 13 results
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13 results on '"Kirtani, P"'

1. MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering

Author

Anand, Avinash, Kapuriya, Janak, Kirtani, Chhavi, Singh, Apoorv, Saraf, Jay, Lal, Naman, Kumar, Jatin, Shivam, Adarsh Raj, Verma, Astha, Shah, Rajiv Ratn, and Zimmermann, Roger

Subjects
Computer Science - Artificial Intelligence
Abstract

Recent advancements in LLMs have shown their significant potential in tasks like text summarization and generation. Yet, they often encounter difficulty while solving complex physics problems that require arithmetic calculation and a good understanding of concepts. Moreover, many physics problems include images that contain important details required to understand the problem's context. We propose an LMM-based chatbot to answer multimodal physics MCQs. For domain adaptation, we utilize the MM-PhyQA dataset comprising Indian high school-level multimodal physics problems. To improve the LMM's performance, we experiment with two techniques, RLHF (Reinforcement Learning from Human Feedback) and Image Captioning. In image captioning, we add a detailed explanation of the diagram in each image, minimizing hallucinations and image processing errors. We further explore the integration of Reinforcement Learning from Human Feedback (RLHF) methodology inspired by the ranking approach in RLHF to enhance the human-like problem-solving abilities of the models. The RLHF approach incorporates human feedback into the learning process of LLMs, improving the model's problem-solving skills, truthfulness, and reasoning capabilities, minimizing the hallucinations in the answers, and improving the quality instead of using vanilla-supervised fine-tuned models. We employ the LLaVA open-source model to answer multimodal physics MCQs and compare the performance with and without using RLHF.

Published
2024

3. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group

Author

El Bairi, Khalid, Haynes, Harry R, Blackley, Elizabeth, Fineberg, Susan, Shear, Jeffrey, Turner, Sophia, de Freitas, Juliana Ribeiro, Sur, Daniel, Amendola, Luis Claudio, Gharib, Masoumeh, Kallala, Amine, Arun, Indu, Azmoudeh-Ardalan, Farid, Fujimoto, Luciana, Sua, Luz F, Liu, Shi-Wei, Lien, Huang-Chun, Kirtani, Pawan, Balancin, Marcelo, El Attar, Hicham, Guleria, Prerna, Yang, Wenxian, Shash, Emad, Chen, I-Chun, Bautista, Veronica, Do Prado Moura, Jose Fernando, Rapoport, Bernardo L, Castaneda, Carlos, Spengler, Eunice, Acosta-Haab, Gabriela, Frahm, Isabel, Sanchez, Joselyn, Castillo, Miluska, Bouchmaa, Najat, Md Zin, Reena R, Shui, Ruohong, Onyuma, Timothy, Yang, Wentao, Husain, Zaheed, Willard-Gallo, Karen, Coosemans, An, Perez, Edith A, Provenzano, Elena, Ericsson, Paula Gonzalez, Richardet, Eduardo, Mehrotra, Ravi, Sarancone, Sandra, Ehinger, Anna, Rimm, David L, Bartlett, John MS, Viale, Giuseppe, Denkert, Carsten, Hida, Akira I, Sotiriou, Christos, Loibl, Sibylle, Hewitt, Stephen M, Badve, Sunil, Symmans, William Fraser, Kim, Rim S, Pruneri, Giancarlo, Goel, Shom, Francis, Prudence A, Inurrigarro, Gloria, Yamaguchi, Rin, Garcia-Rivello, Hernan, Horlings, Hugo, Afqir, Said, Salgado, Roberto, Adams, Sylvia, Kok, Marleen, Dieci, Maria Vittoria, Michiels, Stefan, Demaria, Sandra, and Loi, Sherene

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Immunology, Breast Cancer, Cancer, Clinical Research, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, Good Health and Well Being, International Immuno-Oncology Biomarker Working Group, Clinical sciences, Oncology and carcinogenesis, Epidemiology
Abstract

The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic infiltration of lymphocytes with expression of programmed death-ligand 1 (PD-L1). These patients may potentially benefit from ICI targeting the programmed death 1 (PD-1)/PD-L1 signaling axis. The use of tumor-infiltrating lymphocytes (TILs) as predictive and prognostic biomarkers has been under intense examination. Emerging data suggest that TILs are associated with response to both cytotoxic treatments and immunotherapy, particularly for patients with triple-negative BC. In this review from The International Immuno-Oncology Biomarker Working Group, we discuss (a) the biological understanding of TILs, (b) their analytical and clinical validity and efforts toward the clinical utility in BC, and (c) the current status of PD-L1 and TIL testing across different continents, including experiences from low-to-middle-income countries, incorporating also the view of a patient advocate. This information will help set the stage for future approaches to optimize the understanding and clinical utilization of TIL analysis in patients with BC.

Published
2021

4. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group

Author

Khalid El Bairi, Harry R. Haynes, Elizabeth Blackley, Susan Fineberg, Jeffrey Shear, Sophia Turner, Juliana Ribeiro de Freitas, Daniel Sur, Luis Claudio Amendola, Masoumeh Gharib, Amine Kallala, Indu Arun, Farid Azmoudeh-Ardalan, Luciana Fujimoto, Luz F. Sua, Shi-Wei Liu, Huang-Chun Lien, Pawan Kirtani, Marcelo Balancin, Hicham El Attar, Prerna Guleria, Wenxian Yang, Emad Shash, I-Chun Chen, Veronica Bautista, Jose Fernando Do Prado Moura, Bernardo L. Rapoport, Carlos Castaneda, Eunice Spengler, Gabriela Acosta-Haab, Isabel Frahm, Joselyn Sanchez, Miluska Castillo, Najat Bouchmaa, Reena R. Md Zin, Ruohong Shui, Timothy Onyuma, Wentao Yang, Zaheed Husain, Karen Willard-Gallo, An Coosemans, Edith A. Perez, Elena Provenzano, Paula Gonzalez Ericsson, Eduardo Richardet, Ravi Mehrotra, Sandra Sarancone, Anna Ehinger, David L. Rimm, John M. S. Bartlett, Giuseppe Viale, Carsten Denkert, Akira I. Hida, Christos Sotiriou, Sibylle Loibl, Stephen M. Hewitt, Sunil Badve, William Fraser Symmans, Rim S. Kim, Giancarlo Pruneri, Shom Goel, Prudence A. Francis, Gloria Inurrigarro, Rin Yamaguchi, Hernan Garcia-Rivello, Hugo Horlings, Said Afqir, Roberto Salgado, Sylvia Adams, Marleen Kok, Maria Vittoria Dieci, Stefan Michiels, Sandra Demaria, Sherene Loi, and The International Immuno-Oncology Biomarker Working Group

Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic infiltration of lymphocytes with expression of programmed death-ligand 1 (PD-L1). These patients may potentially benefit from ICI targeting the programmed death 1 (PD-1)/PD-L1 signaling axis. The use of tumor-infiltrating lymphocytes (TILs) as predictive and prognostic biomarkers has been under intense examination. Emerging data suggest that TILs are associated with response to both cytotoxic treatments and immunotherapy, particularly for patients with triple-negative BC. In this review from The International Immuno-Oncology Biomarker Working Group, we discuss (a) the biological understanding of TILs, (b) their analytical and clinical validity and efforts toward the clinical utility in BC, and (c) the current status of PD-L1 and TIL testing across different continents, including experiences from low-to-middle-income countries, incorporating also the view of a patient advocate. This information will help set the stage for future approaches to optimize the understanding and clinical utilization of TIL analysis in patients with BC.

Published
2021
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5. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

Author

Jahangir, CA, Page, DB, Broeckx, G, Gonzalez, CA, Burke, C, Murphy, C, Reis-Filho, JS, Ly, A, Harms, PW, Gupta, RR, Vieth, M, Hida, A, Kahila, M, Kos, Z, van Diest, PJ, Verbandt, S, Thagaard, J, Khiroya, R, Abduljabbar, K, Haab, GA, Acs, B, Adams, S, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Fujimoto, LBM, Burgues, O, Chardas, A, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Portela, FLD, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Fernandez-Martin, C, Fineberg, S, Fox, SB, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hewitt, S, Horlings, HM, Husain, Z, Irshad, S, Janssen, EAM, Kataoka, TR, Kawaguchi, K, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Akturk, G, Scott, E, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Madabhushi, A, Maley, SK, Narasimhamurthy, VM, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Kharidehal, D, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rajpoot, NM, Rapoport, BL, Rau, TT, Ribeiro, JM, Rimm, D, Vincent-Salomon, A, Saltz, J, Sayed, S, Hytopoulos, E, Mahon, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, Verghese, GE, Viale, G, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Stovgaard, ES, Salgado, R, Gallagher, WM, Rahman, A, Jahangir, CA, Page, DB, Broeckx, G, Gonzalez, CA, Burke, C, Murphy, C, Reis-Filho, JS, Ly, A, Harms, PW, Gupta, RR, Vieth, M, Hida, A, Kahila, M, Kos, Z, van Diest, PJ, Verbandt, S, Thagaard, J, Khiroya, R, Abduljabbar, K, Haab, GA, Acs, B, Adams, S, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Fujimoto, LBM, Burgues, O, Chardas, A, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Portela, FLD, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Fernandez-Martin, C, Fineberg, S, Fox, SB, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hewitt, S, Horlings, HM, Husain, Z, Irshad, S, Janssen, EAM, Kataoka, TR, Kawaguchi, K, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Akturk, G, Scott, E, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Madabhushi, A, Maley, SK, Narasimhamurthy, VM, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Kharidehal, D, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rajpoot, NM, Rapoport, BL, Rau, TT, Ribeiro, JM, Rimm, D, Vincent-Salomon, A, Saltz, J, Sayed, S, Hytopoulos, E, Mahon, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, Verghese, GE, Viale, G, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Stovgaard, ES, Salgado, R, Gallagher, WM, and Rahman, A

Published
2024

6. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group

Author

Thagaard, J, Broeckx, G, Page, DB, Jahangir, CA, Verbandt, S, Kos, Z, Gupta, R, Khiroya, R, Abduljabbar, K, Acosta Haab, G, Acs, B, Akturk, G, Almeida, JS, Alvarado-Cabrero, I, Amgad, M, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Balslev, E, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Bouchmaa, N, Burgues, O, Chardas, A, Cheang, MU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dahl, AB, Dantas Portela, FL, Deman, F, Demaria, S, Dore Hansen, J, Dudgeon, SN, Ebstrup, T, Elghazawy, M, Fernandez-Martin, C, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hauberg, S, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Roslind, A, Vincent-Salomon, A, Salto-Tellez, M, Saltz, J, Sayed, S, Scott, E, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Fineberg, S, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Zin, RM, Adams, S, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Thagaard, J, Broeckx, G, Page, DB, Jahangir, CA, Verbandt, S, Kos, Z, Gupta, R, Khiroya, R, Abduljabbar, K, Acosta Haab, G, Acs, B, Akturk, G, Almeida, JS, Alvarado-Cabrero, I, Amgad, M, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Balslev, E, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Bouchmaa, N, Burgues, O, Chardas, A, Cheang, MU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dahl, AB, Dantas Portela, FL, Deman, F, Demaria, S, Dore Hansen, J, Dudgeon, SN, Ebstrup, T, Elghazawy, M, Fernandez-Martin, C, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hart, SN, Hartman, J, Hauberg, S, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Roslind, A, Vincent-Salomon, A, Salto-Tellez, M, Saltz, J, Sayed, S, Scott, E, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Fineberg, S, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Zin, RM, Adams, S, Bartlett, J, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, and Specht Stovgaard, E

Published
2023

7. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

Author

Page, DB, Broeckx, G, Jahangir, CA, Jahangir, C, Verbandt, S, Gupta, RR, Thagaard, J, Khiroya, R, Kos, Z, Abduljabbar, K, Acosta Haab, G, Acs, B, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Burgues, O, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dantas Portela, FL, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Ely, S, Fernandez-Martin, C, Fineberg, S, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hardas, A, Hart, SN, Hartman, J, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Salomon, A-V, Salto-Tellez, M, Saltz, J, Sayed, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Adams, S, Bartlett, JMS, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Akturk, G, Bouchmaa, N, Page, DB, Broeckx, G, Jahangir, CA, Jahangir, C, Verbandt, S, Gupta, RR, Thagaard, J, Khiroya, R, Kos, Z, Abduljabbar, K, Acosta Haab, G, Acs, B, Almeida, JS, Alvarado-Cabrero, I, Azmoudeh-Ardalan, F, Badve, S, Baharun, NB, Bellolio, ER, Bheemaraju, V, Blenman, KRM, Botinelly Mendonca Fujimoto, L, Burgues, O, Cheang, MCU, Ciompi, F, Cooper, LAD, Coosemans, A, Corredor, G, Dantas Portela, FL, Deman, F, Demaria, S, Dudgeon, SN, Elghazawy, M, Ely, S, Fernandez-Martin, C, Fineberg, S, Fox, SB, Gallagher, WM, Giltnane, JM, Gnjatic, S, Gonzalez-Ericsson, P, Grigoriadis, A, Halama, N, Hanna, MG, Harbhajanka, A, Hardas, A, Hart, SN, Hartman, J, Hewitt, S, Hida, A, Horlings, HM, Husain, Z, Hytopoulos, E, Irshad, S, Janssen, EAM, Kahila, M, Kataoka, TR, Kawaguchi, K, Kharidehal, D, Khramtsov, A, Kiraz, U, Kirtani, P, Kodach, LL, Korski, K, Kovacs, A, Laenkholm, A-V, Lang-Schwarz, C, Larsimont, D, Lennerz, JK, Lerousseau, M, Li, X, Ly, A, Madabhushi, A, Maley, SK, Manur Narasimhamurthy, V, Marks, DK, McDonald, ES, Mehrotra, R, Michiels, S, Minhas, FUAA, Mittal, S, Moore, DA, Mushtaq, S, Nighat, H, Papathomas, T, Penault-Llorca, F, Perera, RD, Pinard, CJ, Pinto-Cardenas, JC, Pruneri, G, Pusztai, L, Rahman, A, Rajpoot, NM, Rapoport, BL, Rau, TT, Reis-Filho, JS, Ribeiro, JM, Rimm, D, Salomon, A-V, Salto-Tellez, M, Saltz, J, Sayed, S, Siziopikou, KP, Sotiriou, C, Stenzinger, A, Sughayer, MA, Sur, D, Symmans, F, Tanaka, S, Taxter, T, Tejpar, S, Teuwen, J, Thompson, EA, Tramm, T, Tran, WT, van Der Laak, J, van Diest, PJ, Verghese, GE, Viale, G, Vieth, M, Wahab, N, Walter, T, Waumans, Y, Wen, HY, Yang, W, Yuan, Y, Adams, S, Bartlett, JMS, Loibl, S, Denkert, C, Savas, P, Loi, S, Salgado, R, Specht Stovgaard, E, Akturk, G, and Bouchmaa, N

Published
2023

8. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: a report of the international immuno-oncology biomarker working group.

Author

Thagaard, J., Broeckx, G., Page, D.B., Jahangir, C.A., Verbandt, S., Kos, Z., Gupta, R., Khiroya, R., AbdulJabbar, K., Haab, G.A., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Amgad, M., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Balslev, E., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Chardas, A., Chon U Cheang, M., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dahl, A.B., Dantas Portela, F.L., Deman, F., Demaria, S., Doré Hansen, J., Dudgeon, S.N., Ebstrup, T., Elghazawy, M., Fernandez-Martín, C., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hart, S.N., Hartman, J., Hauberg, S., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Roslind, A., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Scott, E., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Fineberg, S., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Zin, R.M., Adams, S., Bartlett, J., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., Specht Stovgaard, E., Thagaard, J., Broeckx, G., Page, D.B., Jahangir, C.A., Verbandt, S., Kos, Z., Gupta, R., Khiroya, R., AbdulJabbar, K., Haab, G.A., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Amgad, M., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Balslev, E., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Chardas, A., Chon U Cheang, M., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dahl, A.B., Dantas Portela, F.L., Deman, F., Demaria, S., Doré Hansen, J., Dudgeon, S.N., Ebstrup, T., Elghazawy, M., Fernandez-Martín, C., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hart, S.N., Hartman, J., Hauberg, S., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Roslind, A., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Scott, E., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Fineberg, S., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Zin, R.M., Adams, S., Bartlett, J., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., and Specht Stovgaard, E.

Abstract

01 augustus 2023, Contains fulltext : 296181.pdf (Publisher’s version ) (Open Access), The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. We categorize our findings into four main topics: (1) technical slide issues, (2) ML and image analysis aspects, (3) data challenges, and (4) validation issues. The main reason for discordant assessments is the inclusion of false-positive areas or cells identified by performance on certain tissue patterns or design choices in the computational implementation. To aid the adoption of ML for TIL assessment, we provide an in-depth discussion of ML and image analysis, including validation issues that need to be considered before reliable computational reporting of TILs can be incorporated into the trial and routine clinical management of patients with triple-negative breast cancer. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Published
2023

9. Spatial analyses of immune cell infiltration in cancer: current methods and future directions. A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Author

Page, D.B., Broeckx, G., Jahangir, C.A., Verbandt, S., Gupta, R.R., Thagaard, J., Khiroya, R., Kos, Z., AbdulJabbar, K., Acosta Haab, G., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Cheang, M.C.U., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dantas Portela, F.L., Deman, F., Demaria, S., Dudgeon, S.N., Elghazawy, M., Ely, S., Fernandez-Martín, C., Fineberg, S., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hardas, A., Hart, S.N., Hartman, J., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Adams, S., Bartlett, J.M.S., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., Specht Stovgaard, E., Page, D.B., Broeckx, G., Jahangir, C.A., Verbandt, S., Gupta, R.R., Thagaard, J., Khiroya, R., Kos, Z., AbdulJabbar, K., Acosta Haab, G., Acs, B., Akturk, G., Almeida, J.S., Alvarado-Cabrero, I., Azmoudeh-Ardalan, F., Badve, S., Baharun, N.B., Bellolio, E.R., Bheemaraju, V., Blenman, K.R., Botinelly Mendonça Fujimoto, L., Bouchmaa, N., Burgues, O., Cheang, M.C.U., Ciompi, F., Cooper, L.A., Coosemans, A., Corredor, G., Dantas Portela, F.L., Deman, F., Demaria, S., Dudgeon, S.N., Elghazawy, M., Ely, S., Fernandez-Martín, C., Fineberg, S., Fox, S.B., Gallagher, W.M., Giltnane, J.M., Gnjatic, S., Gonzalez-Ericsson, P.I., Grigoriadis, A., Halama, N., Hanna, M.G., Harbhajanka, A., Hardas, A., Hart, S.N., Hartman, J., Hewitt, S., Hida, A.I., Horlings, H.M., Husain, Z., Hytopoulos, E., Irshad, S., Janssen, E.a, Kahila, M., Kataoka, T.R., Kawaguchi, K., Kharidehal, D., Khramtsov, A.I., Kiraz, U., Kirtani, P., Kodach, L.L., Korski, K., Kovács, A., Laenkholm, A.V., Lang-Schwarz, C., Larsimont, D., Lennerz, J.K., Lerousseau, M., Li, Xiaoxian, Ly, Amy, Madabhushi, A., Maley, S.K., Manur Narasimhamurthy, V., Marks, D.K., McDonald, E.S., Mehrotra, R., Michiels, S., Minhas, F.U.A.A., Mittal, S., Moore, D.A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R.D., Pinard, C.J., Pinto-Cardenas, J.C., Pruneri, G., Pusztai, L., Rahman, A., Rajpoot, N.M., Rapoport, B.L., Rau, T.T., Reis-Filho, J.S., Ribeiro, J.M., Rimm, D., Vincent-Salomon, A., Salto-Tellez, M., Saltz, J., Sayed, S., Siziopikou, K.P., Sotiriou, C., Stenzinger, A., Sughayer, M.A., Sur, D., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E.A., Tramm, T., Tran, W.T., Laak, J.A.W.M. van der, Diest, P.J. van, Verghese, G.E., Viale, G., Vieth, M., Wahab, N., Walter, T., Waumans, Y., Wen, H.Y., Yang, W, Yuan, Y., Adams, S., Bartlett, J.M.S., Loibl, S., Denkert, C., Savas, P., Loi, S., Salgado, R., and Specht Stovgaard, E.

Abstract

01 augustus 2023, Contains fulltext : 296131.pdf (Publisher’s version ) (Closed access), Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland.

Published
2023

10. The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group

Author

El Bairi, K., Haynes, H. R., Blackley, E., Fineberg, S., Shear, J., Turner, S., de Freitas, J. R., Sur, D., Amendola, L. C., Gharib, M., Kallala, A., Arun, I., Azmoudeh-Ardalan, F., Fujimoto, L., Sua, L. F., Liu, S. -W., Lien, H. -C., Kirtani, P., Balancin, M., El Attar, H., Guleria, P., Yang, W., Shash, E., Chen, I. -C., Bautista, V., Do Prado Moura, J. F., Rapoport, B. L., Castaneda, C., Spengler, E., Acosta-Haab, G., Frahm, I., Sanchez, J., Castillo, M., Bouchmaa, N., Md Zin, R. R., Shui, R., Onyuma, T., Husain, Z., Willard-Gallo, K., Coosemans, A., Perez, E. A., Provenzano, E., Ericsson, P. G., Richardet, E., Mehrotra, R., Sarancone, S., Ehinger, A., Rimm, D. L., Bartlett, J. M. S., Viale, G., Denkert, C., Hida, A. I., Sotiriou, C., Loibl, S., Hewitt, S. M., Badve, S., Symmans, W. F., Kim, R. S., Pruneri, G., Goel, S., Francis, P. A., Inurrigarro, G., Yamaguchi, R., Garcia-Rivello, H., Horlings, H., Afqir, S., Salgado, R., Adams, S., Kok, M., Dieci, M. V., Michiels, S., Demaria, S., Loi, S., Schelfhout, V., Arbzadeh, E., Bondanar, A., Reyes, S. A. G., Ruz, J. R., Kang, J., Xiang, L., Zimovjanova, M., Togores, P., Ozturk, T., Patil, A., Corpa, M., Whitehouse, A., Tan, B., de Paula, A., Rossetti, C., Lang-Schwarz, C., Mahon, S., Giacometti, C., Linderholm, B., Deman, F., Montagna, G., Gong, G., Pavcovich, M., Chaer, Y., Cabrero, I. A., de Brito, M. L., Ilieva, N., Fulop, A., Souza, M., Bilancia, D., Idowu, M., Johri, R., Szpor, J., Bachani, L., Schmitt, F., Giannotti, M., Kurebayashi, Y., Ramirez, B. E. A., Salido, E., Bortesi, L., Bonetto, S., Elomina, K., Lopez, P., Sharma, V., Edirisinghe, A., Mathur, D., Sahay, A., Mouloud, M. A., Giang, C. H., Mukolwe, E., Kiruka, E., Samberg, N., Abe, N., Brown, M., Millar, E., X. B., Li, Yuan, Z., Pasupathy, A., Miele, R., Luff, R., e Porfirio, M. M. A., Ajemba, O., Soni, R., Orvieto, E., Dimaio, M., Thomas, J., Merard, R., Subramaniam, M. M., Apolinario, T., Preda, O., Preda, R., Makanga, A., Maior, M. S., Li, L., Saghatchian, M., Saurine, T., Janssen, E., Cochran, J., Vlada, N., Cappellesso, R., Elfer, K., Hollick, M., Desai, S., Oner, G., Schreurs, A., Liu, S., Perera, R., Mercurio, P., Garcia, F., Hosny, K., Matsumoto, H., van Deurzen, C., Bianchini, G., Coban, I., Jahangir, A., Rahman, A., Stover, D., Luz, P., Martel, A., Waumans, Y., Stenzinger, A., Cortes, J., Dimitrova, P., Nauwelaers, I., Velasco, M., Fan, F., Akturk, G., Firer, M., Roxanis, I., Schneck, M., Wen, H., Cockenpot, V., Konstantinov, A., Calatrava, A., Vidya, M. N., Choi, H. J., Jank, P., Ciinen, A. H., Sabanathan, D., Floris, G., Hoeflmayer, D., Hamada, T., Laudus, N., Grigoriadis, A., Porcellato, I., Acs, B., Miglietta, F., Parrodi, J., Clunie, D., Calhoun, B., F. -I., Lu, Lefevre, A., Tabbarah, S., Tran, W., Garcia-murillas, I., Jelinic, P., Boeckx, C., Souza, S., Cebollero, M. C., Felip, E., Rendon, J. L. S., El Gabry, E., Saltz, J., Bria, E., Garufi, G., Hartman, J., Sebastian, M., Olofsson, H., Kooreman, L., Cucherousset, J., Mathieu, M. -C., Ballesteros-Merino, C., Siziopikou, P., Fong, J., Klein, M., Qulis, I. R. I., Wesseling, J., Bellolio, E., Araya, J. C., Naber, S., Cheang, M., Castellano, I., Ales, A., Laenkholm, A. -V., Kulka, J., Quinn, C., Sapino, A., Amendoeira, I., Marchio, C., Braybrooke, J., Vincent-Salomon, A., Korski, K. P., Sofopoulos, M., Stovgaard, E. I. S., Bianchi, S., Bago-Horvath, Z., Yu, C., Regitnig, P., Hall, S., Kos, Z., Sant, S., Tille, J. -C., Gallas, B., Bethmann, D., Savas, P., Mendes, L., Soler, T., van Seijen, M., Gruosso, T., Quintana, A., Giltnane, J., Van den Eynden, G., Duregon, E., de Cabo, R., Recamo, P. C., Gaboury, L., Zimmerman, J., Pop, C. S., Wernicke, A., Williams, D., Gill, A., Solomon, B., Thapa, B., Farshid, G., Gilham, L., Christie, M., O'Toole, S., Hendry, S., Fox, S. B., Luen, S. J., Lakhani, S. R., Fuchs, T., John, T., Brcic, I., Hainfellner, J., Sigurd, L., Preusser, M., Poortmans, P., Decaluwe, A., Carey, C., Colpaert, C., Larsimont, D., Peeters, D., Broeckx, G., van de Vijver, K., Buisseret, L., Dirix, L., Hertoghs, M., Piccart, M., Ignatiadis, M., Van Bockstal, M., Sirtaine, N., Vermeulen, P., de Wind, R., Declercq, S., Gevaert, T., Haibe-Kans, B., Nelson, B. H., Watson, P. H., Leung, S., Nielsen, T., Shi, L., Balslev, E., Thagaard, J., Almangush, A., Makitie, A., Joensuu, H., Lundin, J., Drubay, D., Roblin, E., Andre, F., Penault-Llorca, F., Lemonnier, J., Adam, J., Lacroix-Triki, M., Ternes, N., Radosevic-Robin, N., Klaushen, F., Weber, K., Harbeck, N., Gluz, O., Wienert, S., Cserni, G., Vingiani, A., Criscitiello, C., Solinas, C., Curigliano, G., Konishi, E., Suzuki, E., Yoshikawa, K., Kawaguchi, K., Takada, M., Toi, M., Ishida, M., Shibata, N., Saji, S., Kogawa, T., Sakatani, T., Okamoto, T., Moriya, T., Kataoka, T., Shimoi, T., Sugie, T., Mukohara, T., Shu, Y., Kikawa, Y., Kozuka, Y., Sayed, S., Rahayu, R., Ramsaroop, R., Senkus-Konefka, E., Chmielik, E., Cardoso, F., Ribeiro, J., Chan, J., Dent, R., Martin, M., Hagen, C., Guerrero, A., Rojo, F., Comerma, L., Nuciforo, P., Serrano, V. V., Camaea, V. P., Steenbruggen, T., Ciompi, F., Nederlof, I., Jan, Hudecek, van der Laak, J., van den Berg, J., Voorwerk, L., van de Vijver, M., de Maaker, M., Linn, S., Mckenzie, H., Somaiah, N., Tutt, A., Swanton, C., Hiley, C., Moore, D. A., Hall, J. A., Le Quesne, J., Jabbar, K. A., al Bakir, M., Hills, R., Irshad, S., Yuan, Y., Li, Z., Liu, M., Klein, J., Fadare, O., Thompson, A., Lazar, A. J., Gown, A., Lo, A., Garrido Castro, A. C., Madabhushi, A., Moreira, A., Richardson, A., Beck, A. H., Bellizzi, A. M., Wolff, A., Harbhajanka, A., Sharma, A., Cimino-Mathews, A., Srinivasan, A., Singh, B., Chennubhotla, C. S., Chauhan, C., Dillon, D. A., Zardavas, D., Johnson, D. B., Thompson, A. E., Brogi, E., Reisenbichler, E., Huang, E., Hirsch, F. R., Mcarthur, H., Ziai, J., Brock, J., Kerner, J., Zha, J., Lennerz, J. K., Carter, J. M., Reis-Filho, J., Sparano, J., Balko, J. M., Pogue-Geile, K., Steele, K. E., Blenman, K. R. M., Allison, K. H., Pusztai, L., Cooper, L., Estrada, V. M., Flowers, M., Robson, M., Rebelatto, M. C., Hanna, M. G., Goetz, M. P., Khojasteh, M., Sanders, M. E., Regan, M. M., Misialek, M., Amgad, M., Tung, N., Singh, R., Huang, R., Pierce, R. H., Leon-Ferre, R., Swain, S., Ely, S., Kim, S. -R., Bedri, S., Paik, S., Schnitt, S., D'Alfons, T., Kurkure, U., Bossuyt, V., Tong, W., Wang, Y., Dos Anjos, C. H., Gaire, F., Van Diest, P. J., El Bairi, Khalid [0000-0002-8414-4145], de Freitas, Juliana Ribeiro [0000-0003-4978-7273], Sur, Daniel [0000-0002-0926-4614], Amendola, Luis Claudio [0000-0002-6404-450X], Azmoudeh-Ardalan, Farid [0000-0003-4701-0532], Kirtani, Pawan [0000-0002-2343-7016], Yang, Wenxian [0000-0002-5349-9680], Castillo, Miluska [0000-0002-0111-3176], Provenzano, Elena [0000-0003-3345-3965], Mehrotra, Ravi [0000-0001-9453-1408], Ehinger, Anna [0000-0001-9225-7396], Rimm, David L [0000-0001-5820-4397], Bartlett, John MS [0000-0002-0347-3888], Denkert, Carsten [0000-0002-2249-0982], Hida, Akira I [0000-0002-4486-8819], Sotiriou, Christos [0000-0002-5745-9977], Hewitt, Stephen M [0000-0001-8283-1788], Badve, Sunil [0000-0001-8861-9980], Symmans, William Fraser [0000-0002-1526-184X], Goel, Shom [0000-0001-8329-9084], Francis, Prudence A [0000-0002-7207-9286], Horlings, Hugo [0000-0003-4782-8828], Salgado, Roberto [0000-0002-1110-3801], Demaria, Sandra [0000-0003-4426-0499], Loi, Sherene [0000-0001-6137-9171], Apollo - University of Cambridge Repository, UCL - SSS/IREC/SLUC - Pôle St.-Luc, UCL - (SLuc) Service d'anatomie pathologique, Imagerie Moléculaire et Stratégies Théranostiques (IMoST), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne (UCA), Centre Jean Perrin [Clermont-Ferrand] (UNICANCER/CJP), and UNICANCER

Subjects
Oncology, medicine.medical_treatment, [SDV]Life Sciences [q-bio], TRASTUZUMAB, Improved survival, MICROENVIRONMENT, Review Article, SUBTYPES, NEOADJUVANT CHEMOTHERAPY, 0302 clinical medicine, Breast cancer, Ecology,Evolution & Ethology, PROGNOSTIC-SIGNIFICANCE, Medicine and Health Sciences, Pharmacology (medical), TUMOR-INFILTRATING LYMPHOCYTES, Stage (cooking), RC254-282, Chemical Biology & High Throughput, 0303 health sciences, Human Biology & Physiology, Genome Integrity & Repair, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, ASSOCIATION, 3. Good health, 030220 oncology & carcinogenesis, Biomarker (medicine), Life Sciences & Biomedicine, Genetics & Genomics, medicine.medical_specialty, chemical and pharmacologic phenomena, International Immuno-Oncology Biomarker Working Group, Predictive markers, 03 medical and health sciences, Signalling & Oncogenes, SDG 3 - Good Health and Well-being, Internal medicine, 692/53/2423, medicine, Radiology, Nuclear Medicine and imaging, In patient, 030304 developmental biology, Computational & Systems Biology, Science & Technology, IDENTIFICATION, business.industry, review-article, Cancer, 03.01. Általános orvostudomány, Immunotherapy, Tumour Biology, medicine.disease, PREDICTIVE-VALUE, 692/4028/67/1347, Programmed death 1, business, FREE SURVIVAL
Abstract

The advent of immune-checkpoint inhibitors (ICI) in modern oncology has significantly improved survival in several cancer settings. A subgroup of women with breast cancer (BC) has immunogenic infiltration of lymphocytes with expression of programmed death-ligand 1 (PD-L1). These patients may potentially benefit from ICI targeting the programmed death 1 (PD-1)/PD-L1 signaling axis. The use of tumor-infiltrating lymphocytes (TILs) as predictive and prognostic biomarkers has been under intense examination. Emerging data suggest that TILs are associated with response to both cytotoxic treatments and immunotherapy, particularly for patients with triple-negative BC. In this review from The International Immuno-Oncology Biomarker Working Group, we discuss (a) the biological understanding of TILs, (b) their analytical and clinical validity and efforts toward the clinical utility in BC, and (c) the current status of PD-L1 and TIL testing across different continents, including experiences from low-to-middle-income countries, incorporating also the view of a patient advocate. This information will help set the stage for future approaches to optimize the understanding and clinical utilization of TIL analysis in patients with BC. ispartof: NPJ BREAST CANCER vol:7 issue:1 ispartof: location:United States status: published

Published
2021

11. Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.

Author

Jahangir CA, Page DB, Broeckx G, Gonzalez CA, Burke C, Murphy C, Reis-Filho JS, Ly A, Harms PW, Gupta RR, Vieth M, Hida AI, Kahila M, Kos Z, van Diest PJ, Verbandt S, Thagaard J, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Adams S, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, Baharun NB, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Burgues O, Chardas A, Cheang MCU, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dantas Portela FL, Deman F, Demaria S, Dudgeon SN, Elghazawy M, Fernandez-Martín C, Fineberg S, Fox SB, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hewitt S, Horlings HM, Husain Z, Irshad S, Janssen EA, Kataoka TR, Kawaguchi K, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Akturk G, Scott E, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Kharidehal D, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rajpoot NM, Rapoport BL, Rau TT, Ribeiro JM, Rimm D, Vincent-Salomon A, Saltz J, Sayed S, Hytopoulos E, Mahon S, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, Verghese GE, Viale G, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Specht Stovgaard E, Salgado R, Gallagher WM, and Rahman A

Subjects
Humans, Female, Biomarkers, Tumor genetics, Prognosis, Phenotype, United Kingdom, Tumor Microenvironment, Breast Neoplasms
Abstract

Recent advances in the field of immuno-oncology have brought transformative changes in the management of cancer patients. The immune profile of tumours has been found to have key value in predicting disease prognosis and treatment response in various cancers. Multiplex immunohistochemistry and immunofluorescence have emerged as potent tools for the simultaneous detection of multiple protein biomarkers in a single tissue section, thereby expanding opportunities for molecular and immune profiling while preserving tissue samples. By establishing the phenotype of individual tumour cells when distributed within a mixed cell population, the identification of clinically relevant biomarkers with high-throughput multiplex immunophenotyping of tumour samples has great potential to guide appropriate treatment choices. Moreover, the emergence of novel multi-marker imaging approaches can now provide unprecedented insights into the tumour microenvironment, including the potential interplay between various cell types. However, there are significant challenges to widespread integration of these technologies in daily research and clinical practice. This review addresses the challenges and potential solutions within a structured framework of action from a regulatory and clinical trial perspective. New developments within the field of immunophenotyping using multiplexed tissue imaging platforms and associated digital pathology are also described, with a specific focus on translational implications across different subtypes of cancer. © 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland., (© 2024 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.)

Published
2024
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12. Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.

Author

Page DB, Broeckx G, Jahangir CA, Verbandt S, Gupta RR, Thagaard J, Khiroya R, Kos Z, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado-Cabrero I, Azmoudeh-Ardalan F, Badve S, Baharun NB, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Bouchmaa N, Burgues O, Cheang MCU, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dantas Portela FL, Deman F, Demaria S, Dudgeon SN, Elghazawy M, Ely S, Fernandez-Martín C, Fineberg S, Fox SB, Gallagher WM, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hardas A, Hart SN, Hartman J, Hewitt S, Hida AI, Horlings HM, Husain Z, Hytopoulos E, Irshad S, Janssen EA, Kahila M, Kataoka TR, Kawaguchi K, Kharidehal D, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Ly A, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rahman A, Rajpoot NM, Rapoport BL, Rau TT, Reis-Filho JS, Ribeiro JM, Rimm D, Vincent-Salomon A, Salto-Tellez M, Saltz J, Sayed S, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, van Diest PJ, Verghese GE, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Adams S, Bartlett JMS, Loibl S, Denkert C, Savas P, Loi S, Salgado R, and Specht Stovgaard E

Subjects
Humans, Biomarkers, Benchmarking, Lymphocytes, Tumor-Infiltrating, Spatial Analysis, Tumor Microenvironment, Colonic Neoplasms
Abstract

Modern histologic imaging platforms coupled with machine learning methods have provided new opportunities to map the spatial distribution of immune cells in the tumor microenvironment. However, there exists no standardized method for describing or analyzing spatial immune cell data, and most reported spatial analyses are rudimentary. In this review, we provide an overview of two approaches for reporting and analyzing spatial data (raster versus vector-based). We then provide a compendium of spatial immune cell metrics that have been reported in the literature, summarizing prognostic associations in the context of a variety of cancers. We conclude by discussing two well-described clinical biomarkers, the breast cancer stromal tumor infiltrating lymphocytes score and the colon cancer Immunoscore, and describe investigative opportunities to improve clinical utility of these spatial biomarkers. © 2023 The Pathological Society of Great Britain and Ireland., (© 2023 The Pathological Society of Great Britain and Ireland.)

Published
2023
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13. Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer

Author

Thagaard J, Broeckx G, Page DB, Jahangir CA, Verbandt S, Kos Z, Gupta R, Khiroya R, Abduljabbar K, Acosta Haab G, Acs B, Akturk G, Almeida JS, Alvarado-Cabrero I, Amgad M, Azmoudeh-Ardalan F, Badve S, Baharun NB, Balslev E, Bellolio ER, Bheemaraju V, Blenman KR, Botinelly Mendonça Fujimoto L, Bouchmaa N, Burgues O, Chardas A, Chon U Cheang M, Ciompi F, Cooper LA, Coosemans A, Corredor G, Dahl AB, Dantas Portela FL, Deman F, Demaria S, Doré Hansen J, Dudgeon SN, Ebstrup T, Elghazawy M, Fernandez-Martín C, Fox SB, Gallagher WM, Giltnane JM, Gnjatic S, Gonzalez-Ericsson PI, Grigoriadis A, Halama N, Hanna MG, Harbhajanka A, Hart SN, Hartman J, Hauberg S, Hewitt S, Hida AI, Horlings HM, Husain Z, Hytopoulos E, Irshad S, Janssen EA, Kahila M, Kataoka TR, Kawaguchi K, Kharidehal D, Khramtsov AI, Kiraz U, Kirtani P, Kodach LL, Korski K, Kovács A, Laenkholm AV, Lang-Schwarz C, Larsimont D, Lennerz JK, Lerousseau M, Li X, Ly A, Madabhushi A, Maley SK, Manur Narasimhamurthy V, Marks DK, McDonald ES, Mehrotra R, Michiels S, Minhas FUAA, Mittal S, Moore DA, Mushtaq S, Nighat H, Papathomas T, Penault-Llorca F, Perera RD, Pinard CJ, Pinto-Cardenas JC, Pruneri G, Pusztai L, Rahman A, Rajpoot NM, Rapoport BL, Rau TT, Reis-Filho JS, Ribeiro JM, Rimm D, Roslind A, Vincent-Salomon A, Salto-Tellez M, Saltz J, Sayed S, Scott E, Siziopikou KP, Sotiriou C, Stenzinger A, Sughayer MA, Sur D, Fineberg S, Symmans F, Tanaka S, Taxter T, Tejpar S, Teuwen J, Thompson EA, Tramm T, Tran WT, van der Laak J, van Diest PJ, Verghese GE, Viale G, Vieth M, Wahab N, Walter T, Waumans Y, Wen HY, Yang W, Yuan Y, Zin RM, Adams S, Bartlett J, Loibl S, Denkert C, Savas P, Loi S, Salgado R, and Specht Stovgaard E

Subjects
Humans, Animals, Lymphocytes, Tumor-Infiltrating, Biomarkers, Machine Learning, Triple Negative Breast Neoplasms, Mammary Neoplasms, Animal
Abstract

The clinical significance of the tumor-immune interaction in breast cancer is now established, and tumor-infiltrating lymphocytes (TILs) have emerged as predictive and prognostic biomarkers for patients with triple-negative (estrogen receptor, progesterone receptor, and HER2-negative) breast cancer and HER2-positive breast cancer. How computational assessments of TILs might complement manual TIL assessment in trial and daily practices is currently debated. Recent efforts to use machine learning (ML) to automatically evaluate TILs have shown promising results. We review state-of-the-art approaches and identify pitfalls and challenges of automated TIL evaluation by studying the root cause of ML discordances in comparison to manual TIL quantification. We categorize our findings into four main topics: (1) technical slide issues, (2) ML and image analysis aspects, (3) data challenges, and (4) validation issues. The main reason for discordant assessments is the inclusion of false-positive areas or cells identified by performance on certain tissue patterns or design choices in the computational implementation. To aid the adoption of ML for TIL assessment, we provide an in-depth discussion of ML and image analysis, including validation issues that need to be considered before reliable computational reporting of TILs can be incorporated into the trial and routine clinical management of patients with triple-negative breast cancer. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland., (© 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.)

Published
2023
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