Spatial Analysis of the Tumour Immune Microenvironment in Triple-Negative Breast Cancer
(2024) BINP51 20232Degree Projects in Bioinformatics
- Abstract
- The composition of the tumour microenvironment has been reported as a meaningful predictor in triple-negative breast cancer’s (TNBC) prognosis and response to treatment and has allowed for implementation of new therapeutic approaches such as immunotherapy. Therefore, new spatially resolved approaches have arisen recently to unravel the properties of the microenvironment, ranging from spatial transcriptomics or proteomics to immunohistochemistry. This work aims to analyse the immune microenvironment in TNBC through single-plex and multiplex immunohistochemistry using already existing spatial analysis techniques and to develope new bioinformatic methods and strategies such as a novel cell environment detection strategy and an annotation-free... (More)
- The composition of the tumour microenvironment has been reported as a meaningful predictor in triple-negative breast cancer’s (TNBC) prognosis and response to treatment and has allowed for implementation of new therapeutic approaches such as immunotherapy. Therefore, new spatially resolved approaches have arisen recently to unravel the properties of the microenvironment, ranging from spatial transcriptomics or proteomics to immunohistochemistry. This work aims to analyse the immune microenvironment in TNBC through single-plex and multiplex immunohistochemistry using already existing spatial analysis techniques and to develope new bioinformatic methods and strategies such as a novel cell environment detection strategy and an annotation-free multiplex immunohistochemistry cell segmentation and phenotyping bioinformatic pipeline. The development of spatial techniques combined with appropriate analysis pipelines will allow for a deeper understanding of the TNBC immune microenvironment’s transcendence for tumour development, and potentially improve the already existing therapeutic strategies. (Less)
- Popular Abstract
- Tumours are complex mixtures of cell types: malignant cells whose replication cycle is out of control and therefore can spread throughout the body with fatal consequences, and other non-malignant cells. During the last years, the interest in the immune non-malignant cells has increased, as they are in charge of fighting against the expansion of the tumour by killing cancer cells. Triple-negative breast cancer is the breast cancer subtype with the worst prognosis and the immune cells that infiltrate the tumour tissue have been determined as essential for its progression, allowing for the development of new immune cell-based treatments called immune checkpoint inhibitor immunotherapy. Therefore, this work aims to analyse the composition of... (More)
- Tumours are complex mixtures of cell types: malignant cells whose replication cycle is out of control and therefore can spread throughout the body with fatal consequences, and other non-malignant cells. During the last years, the interest in the immune non-malignant cells has increased, as they are in charge of fighting against the expansion of the tumour by killing cancer cells. Triple-negative breast cancer is the breast cancer subtype with the worst prognosis and the immune cells that infiltrate the tumour tissue have been determined as essential for its progression, allowing for the development of new immune cell-based treatments called immune checkpoint inhibitor immunotherapy. Therefore, this work aims to analyse the composition of TNBC tumour using different spatial analysis techniques, that allow for the study of the location and interactions of different cell types in the cancer tissue. This will be performed by using already existing bioinformatic methods and other novel strategies. The development of spatial techniques combined with appropriate analysis pipelines will let us better understand the impact of immune cells in TNBC development, and potentially improve the already existing therapeutic strategies. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9175562
- author
- Sasiain Casado, Iñaki
- supervisor
- organization
- course
- BINP51 20232
- year
- 2024
- type
- H2 - Master's Degree (Two Years)
- subject
- language
- English
- id
- 9175562
- date added to LUP
- 2024-09-27 11:43:18
- date last changed
- 2024-09-27 11:43:18
@misc{9175562,
abstract = {{The composition of the tumour microenvironment has been reported as a meaningful predictor in triple-negative breast cancer’s (TNBC) prognosis and response to treatment and has allowed for implementation of new therapeutic approaches such as immunotherapy. Therefore, new spatially resolved approaches have arisen recently to unravel the properties of the microenvironment, ranging from spatial transcriptomics or proteomics to immunohistochemistry. This work aims to analyse the immune microenvironment in TNBC through single-plex and multiplex immunohistochemistry using already existing spatial analysis techniques and to develope new bioinformatic methods and strategies such as a novel cell environment detection strategy and an annotation-free multiplex immunohistochemistry cell segmentation and phenotyping bioinformatic pipeline. The development of spatial techniques combined with appropriate analysis pipelines will allow for a deeper understanding of the TNBC immune microenvironment’s transcendence for tumour development, and potentially improve the already existing therapeutic strategies.}},
author = {{Sasiain Casado, Iñaki}},
language = {{eng}},
note = {{Student Paper}},
title = {{Spatial Analysis of the Tumour Immune Microenvironment in Triple-Negative Breast Cancer}},
year = {{2024}},
}