Tumour-infiltrating lymphocytes: from prognosis to treatment selection
Tumour-infiltrating lymphocytes (TILs) are considered crucial in anti-tumour immunity. Accordingly, the presence of TILs contains prognostic and predictive value. In 2011, we performed a systematic review and meta-analysis on the prognostic value of TILs across cancer types. Since then, the advent o...
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| Published in: | British journal of cancer Vol. 128; no. 3; pp. 451 - 458 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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Nature Publishing Group
02.02.2023
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| ISSN: | 0007-0920, 1532-1827, 1532-1827 |
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| Abstract | Tumour-infiltrating lymphocytes (TILs) are considered crucial in anti-tumour immunity. Accordingly, the presence of TILs contains prognostic and predictive value. In 2011, we performed a systematic review and meta-analysis on the prognostic value of TILs across cancer types. Since then, the advent of immune checkpoint blockade (ICB) has renewed interest in the analysis of TILs. In this review, we first describe how our understanding of the prognostic value of TIL has changed over the last decade. New insights on novel TIL subsets are discussed and give a broader view on the prognostic effect of TILs in cancer. Apart from prognostic value, evidence on the predictive significance of TILs in the immune therapy era are discussed, as well as new techniques, such as machine learning that strive to incorporate these predictive capacities within clinical trials. |
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| AbstractList | Tumour-infiltrating lymphocytes (TILs) are considered crucial in anti-tumour immunity. Accordingly, the presence of TILs contains prognostic and predictive value. In 2011, we performed a systematic review and meta-analysis on the prognostic value of TILs across cancer types. Since then, the advent of immune checkpoint blockade (ICB) has renewed interest in the analysis of TILs. In this review, we first describe how our understanding of the prognostic value of TIL has changed over the last decade. New insights on novel TIL subsets are discussed and give a broader view on the prognostic effect of TILs in cancer. Apart from prognostic value, evidence on the predictive significance of TILs in the immune therapy era are discussed, as well as new techniques, such as machine learning that strive to incorporate these predictive capacities within clinical trials. Tumour-infiltrating lymphocytes (TILs) are considered crucial in anti-tumour immunity. Accordingly, the presence of TILs contains prognostic and predictive value. In 2011, we performed a systematic review and meta-analysis on the prognostic value of TILs across cancer types. Since then, the advent of immune checkpoint blockade (ICB) has renewed interest in the analysis of TILs. In this review, we first describe how our understanding of the prognostic value of TIL has changed over the last decade. New insights on novel TIL subsets are discussed and give a broader view on the prognostic effect of TILs in cancer. Apart from prognostic value, evidence on the predictive significance of TILs in the immune therapy era are discussed, as well as new techniques, such as machine learning that strive to incorporate these predictive capacities within clinical trials.Tumour-infiltrating lymphocytes (TILs) are considered crucial in anti-tumour immunity. Accordingly, the presence of TILs contains prognostic and predictive value. In 2011, we performed a systematic review and meta-analysis on the prognostic value of TILs across cancer types. Since then, the advent of immune checkpoint blockade (ICB) has renewed interest in the analysis of TILs. In this review, we first describe how our understanding of the prognostic value of TIL has changed over the last decade. New insights on novel TIL subsets are discussed and give a broader view on the prognostic effect of TILs in cancer. Apart from prognostic value, evidence on the predictive significance of TILs in the immune therapy era are discussed, as well as new techniques, such as machine learning that strive to incorporate these predictive capacities within clinical trials. |
| Author | Brummel, Koen Eerkens, Anneke L Nijman, Hans W de Bruyn, Marco |
| Author_xml | – sequence: 1 givenname: Koen surname: Brummel fullname: Brummel, Koen organization: University of Groningen, University Medical Center Groningen, Department of Obstetrics and Gynecology, Groningen, The Netherlands – sequence: 2 givenname: Anneke L orcidid: 0000-0001-8823-196X surname: Eerkens fullname: Eerkens, Anneke L organization: University of Groningen, University Medical Center Groningen, Department of Obstetrics and Gynecology, Groningen, The Netherlands – sequence: 3 givenname: Marco orcidid: 0000-0001-9819-9131 surname: de Bruyn fullname: de Bruyn, Marco organization: University of Groningen, University Medical Center Groningen, Department of Obstetrics and Gynecology, Groningen, The Netherlands – sequence: 4 givenname: Hans W orcidid: 0000-0002-1821-3042 surname: Nijman fullname: Nijman, Hans W email: h.w.nijman@umcg.nl organization: University of Groningen, University Medical Center Groningen, Department of Obstetrics and Gynecology, Groningen, The Netherlands. h.w.nijman@umcg.nl |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36564565$$D View this record in MEDLINE/PubMed |
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| References | 37443345 - Br J Cancer. 2023 Sep;129(5):737-738. doi: 10.1038/s41416-023-02335-6. 37507542 - Br J Cancer. 2023 Sep;129(5):739-740. doi: 10.1038/s41416-023-02368-x. |
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| SubjectTerms | Biomarkers Cells Clinical trials Humans Immune checkpoint inhibitors Immunotherapy Lymphocytes Lymphocytes, Tumor-Infiltrating Medical prognosis Melanoma Meta-analysis Neoplasms - pathology Neoplasms - therapy Ovarian cancer Prognosis Systematic review Tumors |
| Title | Tumour-infiltrating lymphocytes: from prognosis to treatment selection |
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