Please use this identifier to cite or link to this item:
https://doi.org/10.3390/cancers12092572
DC Field | Value | |
---|---|---|
dc.title | Transcriptional spatial profiling of cancer tissues in the era of immunotherapy: The potential and promise | |
dc.contributor.author | Nerurkar, S.N. | |
dc.contributor.author | Goh, D. | |
dc.contributor.author | Cheung, C.C.L. | |
dc.contributor.author | Nga, P.Q.Y. | |
dc.contributor.author | Lim, J.C.T. | |
dc.contributor.author | Yeong, J.P.S. | |
dc.date.accessioned | 2021-08-23T09:08:48Z | |
dc.date.available | 2021-08-23T09:08:48Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Nerurkar, S.N., Goh, D., Cheung, C.C.L., Nga, P.Q.Y., Lim, J.C.T., Yeong, J.P.S. (2020). Transcriptional spatial profiling of cancer tissues in the era of immunotherapy: The potential and promise. Cancers 12 (9) : 1-20. ScholarBank@NUS Repository. https://doi.org/10.3390/cancers12092572 | |
dc.identifier.issn | 20726694 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/198839 | |
dc.description.abstract | Intratumoral heterogeneity poses a major challenge to making an accurate diagnosis and establishing personalized treatment strategies for cancer patients. Moreover, this heterogeneity might underlie treatment resistance, disease progression, and cancer relapse. For example, while immunotherapies can confer a high success rate, selective pressures coupled with dynamic evolution within a tumour can drive the emergence of drug-resistant clones that allow tumours to persist in certain patients. To improve immunotherapy efficacy, researchers have used transcriptional spatial profiling techniques to identify and subsequently block the source of tumour heterogeneity. In this review, we describe and assess the different technologies available for such profiling within a cancer tissue. We first outline two well-known approaches, in situ hybridization and digital spatial profiling. Then, we highlight the features of an emerging technology known as Visium Spatial Gene Expression Solution. Visium generates quantitative gene expression data and maps them to the tissue architecture. By retaining spatial information, we are well positioned to identify novel biomarkers and perform computational analyses that might inform on novel combinatorial immunotherapies. @ 2020 by the authors. Licensee MDPI, Basel, Switzerland. | |
dc.publisher | MDPI AG | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2020 | |
dc.subject | Biomarkers | |
dc.subject | Cancer | |
dc.subject | Clonal diversity | |
dc.subject | Digital spatial profiling | |
dc.subject | Heterogeneity | |
dc.subject | Immunotherapy | |
dc.subject | In situ hybridization | |
dc.subject | Transcriptomics | |
dc.type | Review | |
dc.contributor.department | YONG LOO LIN SCHOOL OF MEDICINE | |
dc.description.doi | 10.3390/cancers12092572 | |
dc.description.sourcetitle | Cancers | |
dc.description.volume | 12 | |
dc.description.issue | 9 | |
dc.description.page | 1-20 | |
Appears in Collections: | Students Publications |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
10_3390_cancers12092572.pdf | 2.23 MB | Adobe PDF | OPEN | None | View/Download |
This item is licensed under a Creative Commons License