AI-Based Risk Score from Tumour-Infiltrating Lymphocyte Predicts Locoregional-Free Survival in Nasopharyngeal Carcinoma
BACKGROUND: Locoregional recurrence of nasopharyngeal carcinoma (NPC) occurs in 10% to 50% of cases following primary treatment. However, the current main prognostic markers for NPC, both stage and plasma Epstein-Barr virus DNA, are not sensitive to locoregional recurrence.
METHODS: We gathered 385 whole-slide images (WSIs) from haematoxylin and eosin (H&E)-stained NPC sections (n = 367 cases), which were collected from Sun Yat-sen University Cancer Centre. We developed a deep learning algorithm to detect tumour nuclei and lymphocyte nuclei in WSIs, followed by density-based clustering to quantify the tumour-infiltrating lymphocytes (TILs) into 12 scores. The Random Survival Forest model was then trained on the TILs to generate risk score.
RESULTS: Based on Kaplan-Meier analysis, the proposed methods were able to stratify low- and high-risk NPC cases in a validation set of locoregional recurrence with a statically significant result (p < 0.001). This finding was also found in distant metastasis-free survival (p < 0.001), progression-free survival (p < 0.001), and regional recurrence-free survival (p < 0.05). Furthermore, in both univariate analysis (HR: 1.58, CI: 1.13-2.19, p < 0.05) and multivariate analysis (HR:1.59, CI: 1.11-2.28, p < 0.05), we also found that our methods demonstrated a strong prognostic value for locoregional recurrence.
CONCLUSION: The proposed novel digital markers could potentially be utilised to assist treatment decisions in cases of NPC.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:15 |
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| Enthalten in: |
Cancers - 15(2023), 24 vom: 10. Dez. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wibawa, Made Satria [VerfasserIn] |
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| Links: |
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| Themen: |
Artificial intelligence |
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| Anmerkungen: |
Date Revised 25.12.2023 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.3390/cancers15245789 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM366269984 |
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| 245 | 1 | 0 | |a AI-Based Risk Score from Tumour-Infiltrating Lymphocyte Predicts Locoregional-Free Survival in Nasopharyngeal Carcinoma |
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| 500 | |a Date Revised 25.12.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a BACKGROUND: Locoregional recurrence of nasopharyngeal carcinoma (NPC) occurs in 10% to 50% of cases following primary treatment. However, the current main prognostic markers for NPC, both stage and plasma Epstein-Barr virus DNA, are not sensitive to locoregional recurrence | ||
| 520 | |a METHODS: We gathered 385 whole-slide images (WSIs) from haematoxylin and eosin (H&E)-stained NPC sections (n = 367 cases), which were collected from Sun Yat-sen University Cancer Centre. We developed a deep learning algorithm to detect tumour nuclei and lymphocyte nuclei in WSIs, followed by density-based clustering to quantify the tumour-infiltrating lymphocytes (TILs) into 12 scores. The Random Survival Forest model was then trained on the TILs to generate risk score | ||
| 520 | |a RESULTS: Based on Kaplan-Meier analysis, the proposed methods were able to stratify low- and high-risk NPC cases in a validation set of locoregional recurrence with a statically significant result (p < 0.001). This finding was also found in distant metastasis-free survival (p < 0.001), progression-free survival (p < 0.001), and regional recurrence-free survival (p < 0.05). Furthermore, in both univariate analysis (HR: 1.58, CI: 1.13-2.19, p < 0.05) and multivariate analysis (HR:1.59, CI: 1.11-2.28, p < 0.05), we also found that our methods demonstrated a strong prognostic value for locoregional recurrence | ||
| 520 | |a CONCLUSION: The proposed novel digital markers could potentially be utilised to assist treatment decisions in cases of NPC | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a artificial intelligence | |
| 650 | 4 | |a computational pathology | |
| 650 | 4 | |a locoregional recurrence | |
| 650 | 4 | |a nasopharyngeal carcinoma | |
| 650 | 4 | |a tumour-infiltrating lymphocytes | |
| 700 | 1 | |a Zhou, Jia-Yu |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Ruoyu |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Ying-Ying |e verfasserin |4 aut | |
| 700 | 1 | |a Zhan, Zejiang |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Xi |e verfasserin |4 aut | |
| 700 | 1 | |a Lv, Xing |e verfasserin |4 aut | |
| 700 | 1 | |a Young, Lawrence S |e verfasserin |4 aut | |
| 700 | 1 | |a Rajpoot, Nasir |e verfasserin |4 aut | |
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