Tumor tissue protein signatures reflect histological grade of breast cancer
(2017) In PLoS ONE- Abstract
- Histological grade is one of the most commonly used prognostic factors for patients diagnosed with breast cancer. However, conventional grading has proven technically challenging, and up to 60% of the tumors are classified as histological grade 2, which represents a heterogeneous cohort less informative for clinical decision making. In an attempt to study and extend the molecular puzzle of histologically graded breast cancer, we have in this pilot project searched for additional protein biomarkers in a new space of the proteome. To this end, we have for the first time performed protein expression profiling of breast cancer tumor tissue, using recombinant antibody microarrays, targeting mainly immunoregulatory proteins. Thus, we have... (More)
- Histological grade is one of the most commonly used prognostic factors for patients diagnosed with breast cancer. However, conventional grading has proven technically challenging, and up to 60% of the tumors are classified as histological grade 2, which represents a heterogeneous cohort less informative for clinical decision making. In an attempt to study and extend the molecular puzzle of histologically graded breast cancer, we have in this pilot project searched for additional protein biomarkers in a new space of the proteome. To this end, we have for the first time performed protein expression profiling of breast cancer tumor tissue, using recombinant antibody microarrays, targeting mainly immunoregulatory proteins. Thus, we have explored the immune system as a disease-specific sensor (clinical immunoproteomics). Uniquely, the results showed that several biologically relevant proteins reflecting histological grade could be delineated. In more detail, the tentative biomarker panels could be used to i) build a candidate model classifying grade 1 vs. grade 3 tumors, ii) demonstrate the molecular heterogeneity among grade 2 tumors, and iii) potentially re-classify several of the grade 2 tumors to more like grade 1 or grade 3 tumors. This could, in the long-term run, lead to improved prognosis, by which the patients could benefit from improved tailored care (Less)
- Abstract (Swedish)
- Histological grade is one of the most commonly used prognostic factors for patients diagnosed with breast cancer. However, conventional grading has proven technically challenging, and up to 60% of the tumors are classified as histological grade 2, which represents a heterogeneous cohort less informative for clinical decision making. In an attempt to study and extend the molecular puzzle of histologically graded breast cancer, we have in this pilot project searched for additional protein biomarkers in a new space of the proteome. To this end, we have for the first time performed protein expression profiling of breast cancer tumor tissue, using recombinant antibody microarrays, targeting mainly immunoregulatory proteins. Thus, we have... (More)
- Histological grade is one of the most commonly used prognostic factors for patients diagnosed with breast cancer. However, conventional grading has proven technically challenging, and up to 60% of the tumors are classified as histological grade 2, which represents a heterogeneous cohort less informative for clinical decision making. In an attempt to study and extend the molecular puzzle of histologically graded breast cancer, we have in this pilot project searched for additional protein biomarkers in a new space of the proteome. To this end, we have for the first time performed protein expression profiling of breast cancer tumor tissue, using recombinant antibody microarrays, targeting mainly immunoregulatory proteins. Thus, we have explored the immune system as a disease-specific sensor (clinical immunoproteomics). Uniquely, the results showed that several biologically relevant proteins reflecting histological grade could be delineated. In more detail, the tentative biomarker panels could be used to i) build a candidate model classifying grade 1 vs. grade 3 tumors, ii) demonstrate the molecular heterogeneity among grade 2 tumors, and iii) potentially re-classify several of the grade 2 tumors to more like grade 1 or grade 3 tumors. This could, in the long-term run, lead to improved prognosis, by which the patients could benefit from improved tailored care. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9a7477aa-170f-4b99-9ae6-0a6e3df72a70
- author
- Skoog, Petter LU ; Ohlsson, Mattias LU ; Fernö, Mårten LU ; Rydén, Lisa LU ; Borrebaeck, Carl LU and Wingren, Christer LU
- organization
-
- Department of Immunotechnology
- Computational Biology and Biological Physics - Has been reorganised
- Department of Astronomy and Theoretical Physics - Has been reorganised
- Artificial Intelligence in CardioThoracic Sciences (AICTS) (research group)
- Personalized Breast Cancer Treatment (research group)
- Breastcancer-genetics
- BioCARE: Biomarkers in Cancer Medicine improving Health Care, Education and Innovation
- The Liquid Biopsy and Tumor Progression in Breast Cancer (research group)
- Breast Cancer Surgery (research group)
- Surgery (Lund)
- Create Health
- publishing date
- 2017-06-26
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Breast Cancer, Histology, Biomarkers, Enzyme-linked immunoassays, Microarrays, Breast tumors, Recombinant proteins, Antibodies
- in
- PLoS ONE
- pages
- 22 pages
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- scopus:85021269718
- wos:000404537300021
- pmid:28650989
- ISSN
- 1932-6203
- DOI
- 10.1371/journal.pone.0179775
- language
- English
- LU publication?
- yes
- id
- 9a7477aa-170f-4b99-9ae6-0a6e3df72a70
- date added to LUP
- 2017-06-27 13:41:26
- date last changed
- 2024-04-14 13:12:56
@article{9a7477aa-170f-4b99-9ae6-0a6e3df72a70, abstract = {{Histological grade is one of the most commonly used prognostic factors for patients diagnosed with breast cancer. However, conventional grading has proven technically challenging, and up to 60% of the tumors are classified as histological grade 2, which represents a heterogeneous cohort less informative for clinical decision making. In an attempt to study and extend the molecular puzzle of histologically graded breast cancer, we have in this pilot project searched for additional protein biomarkers in a new space of the proteome. To this end, we have for the first time performed protein expression profiling of breast cancer tumor tissue, using recombinant antibody microarrays, targeting mainly immunoregulatory proteins. Thus, we have explored the immune system as a disease-specific sensor (clinical immunoproteomics). Uniquely, the results showed that several biologically relevant proteins reflecting histological grade could be delineated. In more detail, the tentative biomarker panels could be used to i) build a candidate model classifying grade 1 vs. grade 3 tumors, ii) demonstrate the molecular heterogeneity among grade 2 tumors, and iii) potentially re-classify several of the grade 2 tumors to more like grade 1 or grade 3 tumors. This could, in the long-term run, lead to improved prognosis, by which the patients could benefit from improved tailored care}}, author = {{Skoog, Petter and Ohlsson, Mattias and Fernö, Mårten and Rydén, Lisa and Borrebaeck, Carl and Wingren, Christer}}, issn = {{1932-6203}}, keywords = {{Breast Cancer; Histology; Biomarkers; Enzyme-linked immunoassays; Microarrays; Breast tumors; Recombinant proteins; Antibodies}}, language = {{eng}}, month = {{06}}, publisher = {{Public Library of Science (PLoS)}}, series = {{PLoS ONE}}, title = {{Tumor tissue protein signatures reflect histological grade of breast cancer}}, url = {{http://dx.doi.org/10.1371/journal.pone.0179775}}, doi = {{10.1371/journal.pone.0179775}}, year = {{2017}}, }