| Online-Ressource |
Verfasst von: | Li, Moying [VerfasserIn]  |
| Xiao, Qiyun [VerfasserIn]  |
| Venkatachalam, Nachiyappan [VerfasserIn]  |
| Hofheinz, Ralf-Dieter [VerfasserIn]  |
| Veldwijk, Marlon Romano [VerfasserIn]  |
| Herskind, Carsten [VerfasserIn]  |
| Ebert, Matthias [VerfasserIn]  |
| Zhan, Tianzuo [VerfasserIn]  |
Titel: | Predicting response to neoadjuvant chemoradiotherapy in rectal cancer |
Titelzusatz: | from biomarkers to tumor models |
Verf.angabe: | Moying Li, Qiyun Xiao, Nachiyappan Venkatachalam, Ralf-Dieter Hofheinz, Marlon R. Veldwijk, Carsten Herskind, Matthias P. Ebert and Tianzuo Zhan |
Jahr: | 2022 |
Umfang: | 23 S. |
Fussnoten: | Gesehen am 05.12.2023 |
Titel Quelle: | Enthalten in: Therapeutic advances in medical oncology |
Ort Quelle: | Thousand Oaks, Calif. : Sage, 2009 |
Jahr Quelle: | 2022 |
Band/Heft Quelle: | 14(2022), Artikel-ID 17588359221077972, Seite 1-23 |
ISSN Quelle: | 1758-8359 |
Abstract: | Colorectal cancer (CRC) is a major contributor to cancer-associated morbidity worldwide and over one-third of CRC is located in the rectum. Neoadjuvant chemoradiotherapy (nCRT) followed by surgical resection is commonly applied to treat locally advanced rectal cancer (LARC). In this review, we summarize current and novel concepts of neoadjuvant therapy for LARC such as total neoadjuvant therapy and describe how these developments impact treatment response. Moreover, as response to nCRT is highly divergent in rectal cancers, we discuss the role of potential predictive biomarkers. We review recent advances in biomarker discovery, from a clinical as well as a histopathological and molecular perspective. Furthermore, the role of emerging predictive biomarkers derived from the tumor environment such as immune cell composition and gut microbiome is presented. Finally, we describe how different tumor models such as patient-derived cancer organoids are used to identify novel predictive biomarkers for chemoradiotherapy (CRT) in rectal cancer. |
DOI: | doi:10.1177/17588359221077972 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1177/17588359221077972 |
| DOI: https://doi.org/10.1177/17588359221077972 |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 1872028950 |
Verknüpfungen: | → Zeitschrift |
Predicting response to neoadjuvant chemoradiotherapy in rectal cancer / Li, Moying [VerfasserIn]; 2022 (Online-Ressource)