Deep learning-based scoring of tumour-infiltrating lymphocytes is prognostic in primary melanoma and predictive to PD-1 checkpoint inhibition in melanoma metastases

被引:15
作者
Chatziioannou, Eftychia [1 ,2 ]
Rossner, Jana [3 ]
Aung, Thazin New [4 ]
Rimm, David L. [4 ]
Niessner, Heike [1 ,2 ]
Keim, Ulrike [1 ]
Serna-Higuita, Lina Maria [5 ]
Bonzheim, Irina [6 ]
Cuellar, Luis Kuhn [7 ]
Westphal, Dana [8 ,9 ,10 ]
Steininger, Julian [8 ,9 ,10 ]
Meier, Friedegund [8 ,9 ,10 ]
Pop, Oltin Tiberiu [11 ]
Forchhammer, Stephan [1 ]
Flatz, Lukas [1 ,11 ]
Eigentler, Thomas [12 ]
Garbe, Claus [1 ]
Roecken, Martin [1 ,2 ]
Amaral, Teresa [1 ,2 ]
Sinnberga, Tobias [1 ,2 ,12 ]
机构
[1] Univ Tubingen, Dept Dermatol, Liebermeisterstr 25, D-72076 Tubingen, Germany
[2] Cluster Excellence iFIT EXC 2180, Image Guided & Functionally Instructed Tumor Ther, Tubingen, Germany
[3] Heidelberg Univ, Dept Dermatol, Neuenheimer Feld 440, D-69120 Heidelberg, Germany
[4] Yale Univ, Dept Pathol, Sch Med, New Haven, CT USA
[5] Eberhard Karls Univ Tubingen, Dept Clin Epidemiol & Appl Biostat, D-72076 Tubingen, Germany
[6] Eberhard Karls Univ Tubingen, Inst Pathol & Neuropathol, D-72076 Tubingen, Germany
[7] Univ Tubingen, Quant Biol Ctr QBiC, Tubingen, Germany
[8] Tech Univ Dresden, Fac Med, Dept Dermatol, D-01307 Dresden, Germany
[9] Univ Canc Ctr, Univ Hosp Carl Gustav Carus, Skin Canc Ctr, D-01307 Dresden, Germany
[10] Tech Univ Dresden, Natl Ctr Tumor Dis, D-01307 Dresden, Germany
[11] Kantonssp St Gallen, Inst Immunobiol, St Gallen, Switzerland
[12] Charite Univ Med Berlin, Dept Dermatol Venereol & Allergol, Charitepl 1, D-10117 Berlin, Germany
来源
EBIOMEDICINE | 2023年 / 93卷
关键词
Cutaneous melanoma; Prognostic biomarkers; Predictive biomarkers; Tumour-infiltrating lymphocytes; Digital pathology; BREAST-CANCER; SOLID TUMORS; SURVIVAL;
D O I
10.1016/j.ebiom.2023.104644
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Recent advances in digital pathology have enabled accurate and standardised enumeration of tumour-infiltrating lymphocytes (TILs). Here, we aim to evaluate TILs as a percentage electronic TIL score (eTILs) and investigate its prognostic and predictive relevance in cutaneous melanoma.Methods We included stage I to IV cutaneous melanoma patients and used hematoxylin-eosin-stained slides for TIL analysis. We assessed eTILs as a continuous and categorical variable using the published cut-off of 16.6% and applied Cox regression models to evaluate associations of eTILs with relapse-free, distant metastasis-free, and overall survival. We compared eTILs of the primaries with matched metastasis. Moreover, we assessed the predictive relevance of eTILs in therapy-naive metastases according to the first-line therapy. Findings We analysed 321 primary cutaneous melanomas and 191 metastatic samples. In simple Cox regression, tumour thickness (p < 0.0001), presence of ulceration (p = 0.0001) and eTILs & LE;16.6% (p = 0.0012) were found to be significant unfavourable prognostic factors for RFS. In multiple Cox regression, eTILs & LE;16.6% (p = 0.0161) remained significant and downgraded the current staging. Lower eTILs in the primary tissue was associated with unfavourable relapse-free (p = 0.0014) and distant metastasis-free survival (p = 0.0056). In multiple Cox regression adjusted for tumour thickness and ulceration, eTILs as continuous remained significant (p = 0.019). When comparing TILs in primary tissue and corresponding metastasis of the same patient, eTILs in metastases was lower than in primary melanomas (p < 0.0001). In therapy-naive metastases, an eTILs >12.2% was associated with longer progression-free survival (p = 0.037) and melanoma-specific survival (p = 0.0038) in patients treated with anti-PD-1-based immunotherapy. In multiple Cox regression, lactate dehydrogenase (p < 0.0001) and eTILs & LE;12.2% (p = 0.0130) were significantly associated with unfavourable melanoma-specific survival.Interpretation Assessment of TILs is prognostic in primary melanoma samples, and the eTILs complements staging. In therapy-naive metastases, eTILs & LE;12.2% is predictive of unfavourable survival outcomes in patients receiving anti-PD-1-based therapy.
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页数:19
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共 71 条
  • [1] Prediction of Immunotherapy Response in Melanoma through Combined Modeling of Neoantigen Burden and Immune-Related Resistance Mechanisms
    Abbott, Charles W.
    Boyle, Sean M.
    Pyke, Rachel Marty
    McDaniel, Lee D.
    Levy, Eric
    Navarro, Fabio C. P.
    Mellacheruvu, Dattatreya
    Zhang, Simo V.
    Tan, Mengyao
    Santiago, Rose
    Rusan, Zeid M.
    Milani, Pamela
    Bartha, Gabor
    Harris, Jason
    McClory, Rena
    Snyder, Michael P.
    Jang, Sekwon
    Chen, Richard
    [J]. CLINICAL CANCER RESEARCH, 2021, 27 (15) : 4265 - 4276
  • [2] An open source automated tumor infiltrating lymphocyte algorithm for prognosis in melanoma
    Acs, Balazs
    Ahmed, Fahad Shabbir
    Gupta, Swati
    Wong, Pok Fai
    Gartrell, Robyn D.
    Pradhan, Jaya Sarin
    Rizk, Emanuelle M.
    Rothberg, Bonnie Gould
    Saenger, Yvonne M.
    Rimm, David L.
    [J]. NATURE COMMUNICATIONS, 2019, 10 (1)
  • [3] Prognostic Value of Tumor-Infiltrating Lymphocytes in Triple-Negative Breast Cancers From Two Phase III Randomized Adjuvant Breast Cancer Trials: ECOG 2197 and ECOG 1199
    Adams, Sylvia
    Gray, Robert J.
    Demaria, Sandra
    Goldstein, Lori
    Perez, Edith A.
    Shulman, Lawrence N.
    Martino, Silvana
    Wang, Molin
    Jones, Vicky E.
    Saphner, Thomas J.
    Wolff, Antonio C.
    Wood, William C.
    Davidson, Nancy E.
    Sledge, George W.
    Sparano, Joseph A.
    Badve, Sunil S.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (27) : 2959 - +
  • [4] Mapping the Immune Landscape in Metastatic Melanoma Reveals Localized Cell-Cell Interactions That Predict Immunotherapy Response
    Antoranz, Asier
    Van Herck, Yannick
    Bolognesi, Maddalena M.
    Lynch, Seodhna M.
    Rahman, Arman
    Gallagher, William M.
    Boecxstaens, Veerle
    Marine, Jean-Christophe
    Cattoretti, Giorgio
    van den Oord, Joost J.
    De Smet, Frederik
    Bechter, Oliver
    Bosisio, Francesca M.
    [J]. CANCER RESEARCH, 2022, 82 (18) : 3275 - 3290
  • [5] Prognostic impact of baseline tumour immune infiltrate on disease-free survival in patients with completely resected, BRAFv600 mutation-positive melanoma receiving adjuvant vemurafenib
    Ascierto, P. A.
    Lewis, K. D.
    Di Giacomo, A. M.
    Demidov, L.
    Mandala, M.
    Bondarenko, I
    Herbert, C.
    Mackiewicz, A.
    Rutkowski, P.
    Guminski, A.
    Simmons, B.
    Ye, C.
    Hooper, G.
    Wongchenko, M. J.
    Goodman, G. R.
    Yan, Y.
    Schadendorf, D.
    [J]. ANNALS OF ONCOLOGY, 2020, 31 (01) : 153 - 159
  • [6] Combination Dabrafenib and Trametinib Versus Combination Nivolumab and Ipilimumab for Patients With Advanced BRAF-Mutant Melanoma: The DREAMseq Trial-ECOG-ACRIN EA6134
    Atkins, Michael B.
    Lee, Sandra J.
    Chmielowski, Bartosz
    Tarhini, Ahmad A.
    Cohen, Gary I.
    Truong, Thach-Giao
    Moon, Helen H.
    Davar, Diwakar
    O'Rourke, Mark
    Stephenson, Joseph J.
    Curti, Brendan D.
    Urba, Walter J.
    Brell, Joanna M.
    Funchain, Pauline
    Kendra, Kari L.
    Ikeguchi, Alexandra P.
    Jaslowski, Anthony
    Bane, Charles L.
    Taylor, Mark A.
    Bajaj, Madhuri
    Conry, Robert M.
    Ellis, Robert J.
    Logan, Theodore F.
    Laudi, Noel
    Sosman, Jeffrey A.
    Crockett, David G.
    Pecora, Andrew L.
    Okazaki, Ian J.
    Reganti, Sowjanya
    Chandra, Sunandana
    Guild, Samantha
    Chen, Helen X.
    Streicher, Howard Z.
    Wolchok, Jedd D.
    Ribas, Antoni
    Kirkwood, John M.
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (02) : 186 - +
  • [7] Aung TN, 2022, EBIOMEDICINE, V82, DOI [10.1016/j.ebiom.2022.104143, 10.1016/j.ebiom2202.104143]
  • [8] QuPath: Open source software for digital pathology image analysis
    Bankhead, Peter
    Loughrey, Maurice B.
    Fernandez, Jose A.
    Dombrowski, Yvonne
    Mcart, Darragh G.
    Dunne, Philip D.
    McQuaid, Stephen
    Gray, Ronan T.
    Murray, Liam J.
    Coleman, Helen G.
    James, Jacqueline A.
    Salto-Tellez, Manuel
    Hamilton, Peter W.
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [9] Immunoscore®: A Diagnostic Assay for Clinical Management of Colon Cancer
    Blair, Hannah A.
    [J]. MOLECULAR DIAGNOSIS & THERAPY, 2020, 24 (03) : 365 - 370
  • [10] Spatial architecture of tumour-infiltrating lymphocytes as a prognostic parameter in resected non-small-cell lung cancer
    Bocchialini, Giovanni
    Lagrasta, Costanza
    Madeddu, Denise
    Mazzaschi, Giulia
    Marturano, Davide
    Sogni, Francesco
    Silini, Enrico Maria
    Gnetti, Letizia
    Becchi, Gabriella
    Rusca, Michele
    Carbognani, Paolo
    Ventura, Luigi
    Braggio, Cesare
    Tiseo, Marcello
    Quaini, Federico
    Ampollini, Luca
    [J]. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY, 2020, 58 (03) : 619 - 628