Details

Autor(en) / Beteiligte

• Moore, Michael R.
• Friesner, Isabel D.
• Rizk, Emanuelle M.
• Fullerton, Benjamin T.
• Mondal, Manas
• Trager, Megan H.
• Mendelson, Karen
• Chikeka, Ijeuru
• Kurc, Tahsin
• Gupta, Rajarsi
• Rohr, Bethany R.
• Robinson, Eric J.
• Acs, Balazs
• Chang, Rui
• Kluger, Harriet
• Taback, Bret
• Geskin, Larisa J.
• Horst, Basil
• Gardner, Kevin
• Niedt, George
• Celebi, Julide T.
• Gartrell-Corrado, Robyn D.
• Messina, Jane
• Ferringer, Tammie
• Rimm, David L.
• Saltz, Joel
• Wang, Jing
• Vanguri, Rami
• Saenger, Yvonne M.

Titel

Automated digital TIL analysis (ADTA) adds prognostic value to standard assessment of depth and ulceration in primary melanoma

Ist Teil von

• Scientific reports, 2021-02, Vol.11 (1), p.2809-2809, Article 2809

Ort / Verlag

London: Nature Publishing Group UK

Erscheinungsjahr

2021

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• Accurate prognostic biomarkers in early-stage melanoma are urgently needed to stratify patients for clinical trials of adjuvant therapy. We applied a previously developed open source deep learning algorithm to detect tumor-infiltrating lymphocytes (TILs) in hematoxylin and eosin (H&E) images of early-stage melanomas. We tested whether automated digital (TIL) analysis (ADTA) improved accuracy of prediction of disease specific survival (DSS) based on current pathology standards. ADTA was applied to a training cohort (n = 80) and a cutoff value was defined based on a Receiver Operating Curve. ADTA was then applied to a validation cohort (n = 145) and the previously determined cutoff value was used to stratify high and low risk patients, as demonstrated by Kaplan–Meier analysis (p ≤ 0.001). Multivariable Cox proportional hazards analysis was performed using ADTA, depth, and ulceration as co-variables and showed that ADTA contributed to DSS prediction (HR: 4.18, CI 1.51–11.58, p = 0.006). ADTA provides an effective and attainable assessment of TILs and should be further evaluated in larger studies for inclusion in staging algorithms.