Role of AI and digital pathology for colorectal immuno-oncology
© 2022. The Author(s)..
Immunotherapy deals with therapeutic interventions to arrest the progression of tumours using the immune system. These include checkpoint inhibitors, T-cell manipulation, cytokines, oncolytic viruses and tumour vaccines. In this paper, we present a survey of the latest developments on immunotherapy in colorectal cancer (CRC) and the role of artificial intelligence (AI) in this context. Among these, microsatellite instability (MSI) is perhaps the most popular IO biomarker globally. We first discuss the MSI status of tumours, its implications for patient management, and its relationship to immune response. In recent years, several aspiring studies have used AI to predict the MSI status of patients from digital whole-slide images (WSIs) of routine diagnostic slides. We present a survey of AI literature on the prediction of MSI and tumour mutation burden from digitised WSIs of haematoxylin and eosin-stained diagnostic slides. We discuss AI approaches in detail and elaborate their contributions, limitations and key takeaways to drive future research. We further expand this survey to other IO-related biomarkers like immune cell infiltrates and alternate data modalities like immunohistochemistry and gene expression. Finally, we underline possible future directions in immunotherapy for CRC and promise of AI to accelerate this exploration for patient benefits.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2023 |
|---|---|
| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:128 |
|---|---|
| Enthalten in: |
British journal of cancer - 128(2023), 1 vom: 01. Jan., Seite 3-11 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Bilal, Mohsin [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 09.01.2023 Date Revised 09.02.2023 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1038/s41416-022-01986-1 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM346985129 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM346985129 | ||
| 003 | DE-627 | ||
| 005 | 20231226032743.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2023 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1038/s41416-022-01986-1 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1156.xml |
| 035 | |a (DE-627)NLM346985129 | ||
| 035 | |a (NLM)36183010 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Bilal, Mohsin |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Role of AI and digital pathology for colorectal immuno-oncology |
| 264 | 1 | |c 2023 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 09.01.2023 | ||
| 500 | |a Date Revised 09.02.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2022. The Author(s). | ||
| 520 | |a Immunotherapy deals with therapeutic interventions to arrest the progression of tumours using the immune system. These include checkpoint inhibitors, T-cell manipulation, cytokines, oncolytic viruses and tumour vaccines. In this paper, we present a survey of the latest developments on immunotherapy in colorectal cancer (CRC) and the role of artificial intelligence (AI) in this context. Among these, microsatellite instability (MSI) is perhaps the most popular IO biomarker globally. We first discuss the MSI status of tumours, its implications for patient management, and its relationship to immune response. In recent years, several aspiring studies have used AI to predict the MSI status of patients from digital whole-slide images (WSIs) of routine diagnostic slides. We present a survey of AI literature on the prediction of MSI and tumour mutation burden from digitised WSIs of haematoxylin and eosin-stained diagnostic slides. We discuss AI approaches in detail and elaborate their contributions, limitations and key takeaways to drive future research. We further expand this survey to other IO-related biomarkers like immune cell infiltrates and alternate data modalities like immunohistochemistry and gene expression. Finally, we underline possible future directions in immunotherapy for CRC and promise of AI to accelerate this exploration for patient benefits | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Review | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Nimir, Mohammed |e verfasserin |4 aut | |
| 700 | 1 | |a Snead, David |e verfasserin |4 aut | |
| 700 | 1 | |a Taylor, Graham S |e verfasserin |4 aut | |
| 700 | 1 | |a Rajpoot, Nasir |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t British journal of cancer |d 1947 |g 128(2023), 1 vom: 01. Jan., Seite 3-11 |w (DE-627)NLM000027537 |x 1532-1827 |7 nnns |
| 773 | 1 | 8 | |g volume:128 |g year:2023 |g number:1 |g day:01 |g month:01 |g pages:3-11 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41416-022-01986-1 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 128 |j 2023 |e 1 |b 01 |c 01 |h 3-11 | ||