Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study
Breast cancer is the most common cancer worldwide and the leading cause of cancer related deaths among women. The high incidence and mortality of breast cancer calls for improved prevention, diagnostics, and treatment, including identification of new prognostic and predictive biomarkers for use in p...
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description | Breast cancer is the most common cancer worldwide and the leading cause of cancer related deaths among women. The high incidence and mortality of breast cancer calls for improved prevention, diagnostics, and treatment, including identification of new prognostic and predictive biomarkers for use in precision medicine.
With the aim of compiling a cohort amenable to integrative study designs, we collected detailed epidemiological and clinical data, blood samples, and tumor tissue from a subset of participants from the prospective, population-based Norwegian Women and Cancer (NOWAC) study. These study participants were diagnosed with invasive breast cancer in North Norway before 2013 according to the Cancer Registry of Norway and constitute the Clinical and Multi-omic (CAMO) cohort. Prospectively collected questionnaire data on lifestyle and reproductive factors and blood samples were extracted from the NOWAC study, clinical and histopathological data were manually curated from medical records, and archived tumor tissue collected.
The lifestyle and reproductive characteristics of the study participants in the CAMO cohort (n = 388) were largely similar to those of the breast cancer patients in NOWAC (n = 10 356). The majority of the cancers in the CAMO cohort were tumor grade 2 and of the luminal A subtype. Approx. 80% were estrogen receptor positive, 13% were HER2 positive, and 12% were triple negative breast cancers. Lymph node metastases were present in 31% at diagnosis. The epidemiological dataset in the CAMO cohort is complemented by mRNA, miRNA, and metabolomics analyses in plasma, as well as miRNA profiling in tumor tissue. Additionally, histological analyses at the level of proteins and miRNAs in tumor tissue are currently ongoing.
The CAMO cohort provides data suitable for epidemiological, clinical, molecular, and multi-omics investigations, thereby enabling a systems epidemiology approach to translational breast cancer research. |
doi_str_mv | 10.1371/journal.pone.0281218 |
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With the aim of compiling a cohort amenable to integrative study designs, we collected detailed epidemiological and clinical data, blood samples, and tumor tissue from a subset of participants from the prospective, population-based Norwegian Women and Cancer (NOWAC) study. These study participants were diagnosed with invasive breast cancer in North Norway before 2013 according to the Cancer Registry of Norway and constitute the Clinical and Multi-omic (CAMO) cohort. Prospectively collected questionnaire data on lifestyle and reproductive factors and blood samples were extracted from the NOWAC study, clinical and histopathological data were manually curated from medical records, and archived tumor tissue collected.
The lifestyle and reproductive characteristics of the study participants in the CAMO cohort (n = 388) were largely similar to those of the breast cancer patients in NOWAC (n = 10 356). The majority of the cancers in the CAMO cohort were tumor grade 2 and of the luminal A subtype. Approx. 80% were estrogen receptor positive, 13% were HER2 positive, and 12% were triple negative breast cancers. Lymph node metastases were present in 31% at diagnosis. The epidemiological dataset in the CAMO cohort is complemented by mRNA, miRNA, and metabolomics analyses in plasma, as well as miRNA profiling in tumor tissue. Additionally, histological analyses at the level of proteins and miRNAs in tumor tissue are currently ongoing.
The CAMO cohort provides data suitable for epidemiological, clinical, molecular, and multi-omics investigations, thereby enabling a systems epidemiology approach to translational breast cancer research.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0281218</identifier><identifier>PMID: 36745618</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and life sciences ; Biomarkers ; Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Blood ; Breast cancer ; Breast Neoplasms - diagnosis ; Breast Neoplasms - epidemiology ; Breast Neoplasms - genetics ; Cancer research ; Cancer therapies ; Epidemiology ; ErbB-2 protein ; Estrogen receptors ; Estrogens ; Female ; Humans ; Lymph nodes ; Medical diagnosis ; Medical records ; Medicine and Health Sciences ; Metabolomics ; Metastases ; MicroRNAs - genetics ; miRNA ; mRNA ; Multiomics ; Precision medicine ; Prognosis ; Prospective Studies ; Receptor, ErbB-2 - metabolism ; Receptors, Progesterone - metabolism ; Tissue analysis ; Tissues ; Triple Negative Breast Neoplasms ; Tumors</subject><ispartof>PloS one, 2023, Vol.18 (2), p.e0281218-e0281218</ispartof><rights>Copyright: © 2023 Delgado et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>2023 Delgado et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>info:eu-repo/semantics/openAccess</rights><rights>2023 Delgado et al 2023 Delgado et al</rights><rights>2023 Delgado et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c550t-1bd8a4e2aa65940e6fae9d92fcaa51a36f2a768f5beec573ffeb8c52b65c45f93</citedby><cites>FETCH-LOGICAL-c550t-1bd8a4e2aa65940e6fae9d92fcaa51a36f2a768f5beec573ffeb8c52b65c45f93</cites><orcidid>0000-0002-2539-4603 ; 0000-0002-5458-1854</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901780/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901780/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,4010,23845,26544,27900,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36745618$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Delgado, André Berli</creatorcontrib><creatorcontrib>Tylden, Eline Sol</creatorcontrib><creatorcontrib>Lukic, Marko</creatorcontrib><creatorcontrib>Moi, Line</creatorcontrib><creatorcontrib>Busund, Lill-Tove Rasmussen</creatorcontrib><creatorcontrib>Lund, Eiliv</creatorcontrib><creatorcontrib>Olsen, Karina Standahl</creatorcontrib><title>Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Breast cancer is the most common cancer worldwide and the leading cause of cancer related deaths among women. The high incidence and mortality of breast cancer calls for improved prevention, diagnostics, and treatment, including identification of new prognostic and predictive biomarkers for use in precision medicine.
With the aim of compiling a cohort amenable to integrative study designs, we collected detailed epidemiological and clinical data, blood samples, and tumor tissue from a subset of participants from the prospective, population-based Norwegian Women and Cancer (NOWAC) study. These study participants were diagnosed with invasive breast cancer in North Norway before 2013 according to the Cancer Registry of Norway and constitute the Clinical and Multi-omic (CAMO) cohort. Prospectively collected questionnaire data on lifestyle and reproductive factors and blood samples were extracted from the NOWAC study, clinical and histopathological data were manually curated from medical records, and archived tumor tissue collected.
The lifestyle and reproductive characteristics of the study participants in the CAMO cohort (n = 388) were largely similar to those of the breast cancer patients in NOWAC (n = 10 356). The majority of the cancers in the CAMO cohort were tumor grade 2 and of the luminal A subtype. Approx. 80% were estrogen receptor positive, 13% were HER2 positive, and 12% were triple negative breast cancers. Lymph node metastases were present in 31% at diagnosis. The epidemiological dataset in the CAMO cohort is complemented by mRNA, miRNA, and metabolomics analyses in plasma, as well as miRNA profiling in tumor tissue. Additionally, histological analyses at the level of proteins and miRNAs in tumor tissue are currently ongoing.
The CAMO cohort provides data suitable for epidemiological, clinical, molecular, and multi-omics investigations, thereby enabling a systems epidemiology approach to translational breast cancer research.</description><subject>Biology and life sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Blood</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - epidemiology</subject><subject>Breast Neoplasms - genetics</subject><subject>Cancer research</subject><subject>Cancer therapies</subject><subject>Epidemiology</subject><subject>ErbB-2 protein</subject><subject>Estrogen receptors</subject><subject>Estrogens</subject><subject>Female</subject><subject>Humans</subject><subject>Lymph nodes</subject><subject>Medical diagnosis</subject><subject>Medical records</subject><subject>Medicine and Health Sciences</subject><subject>Metabolomics</subject><subject>Metastases</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>mRNA</subject><subject>Multiomics</subject><subject>Precision medicine</subject><subject>Prognosis</subject><subject>Prospective Studies</subject><subject>Receptor, ErbB-2 - metabolism</subject><subject>Receptors, Progesterone - metabolism</subject><subject>Tissue analysis</subject><subject>Tissues</subject><subject>Triple Negative Breast Neoplasms</subject><subject>Tumors</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>3HK</sourceid><sourceid>DOA</sourceid><recordid>eNptUstuEzEUHSEQLYU_QGCJTSqR4MfYnmGBFI14VGqbTVGXluO5Thw5dmrPgPr3TF6lRayuZZ_HPdYpircETwiT5NMq9iloP9nEABNMK0JJ9aw4JTWjY0Exe_7ofFK8ynmFMWeVEC-LEyZkyQWpTovYxGVMHdqkaJ2Hz-hmCajxLjijPdKhRVe979w4rp1Bo2Z6NTtHZkf5iDZ6IEaLuoFyHdNvWDgd0G1cQ9gxGx0MJDS6nt1Om3OUu769f128sNpneHOYZ8XPb19vmh_jy9n3i2Z6OTac425M5m2lS6BaC16XGITVULc1tUZrTjQTlmopKsvnAIZLZi3MK8PpXHBTcluzs-L9XnfjY1aHv8qKSskExyUvB8TFHtFGvVKb5NY63auondpdxLRQQz5nPCgj2aBaQi3EMMWwQiUpLSsDIFsuzaD15eDWz9fQGghd0v6J6NOX4JZqEX-pusZEVvjvuia53LmgQkxaEYyZVAwLuUWMDhYp3vWQO7V22YD3OkDs98kkKYnkA_TDP9D_5y-PljHnBPZhXYLVtmFHlto2TB0aNtDePY76QDpWiv0BgLzMqw</recordid><startdate>2023</startdate><enddate>2023</enddate><creator>Delgado, André Berli</creator><creator>Tylden, Eline Sol</creator><creator>Lukic, Marko</creator><creator>Moi, Line</creator><creator>Busund, Lill-Tove Rasmussen</creator><creator>Lund, Eiliv</creator><creator>Olsen, Karina Standahl</creator><general>Public Library of Science</general><general>Frontiers Media</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>3HK</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-2539-4603</orcidid><orcidid>https://orcid.org/0000-0002-5458-1854</orcidid></search><sort><creationdate>2023</creationdate><title>Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study</title><author>Delgado, André Berli ; Tylden, Eline Sol ; Lukic, Marko ; Moi, Line ; Busund, Lill-Tove Rasmussen ; Lund, Eiliv ; Olsen, Karina Standahl</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c550t-1bd8a4e2aa65940e6fae9d92fcaa51a36f2a768f5beec573ffeb8c52b65c45f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biology and life sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Blood</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - epidemiology</topic><topic>Breast Neoplasms - genetics</topic><topic>Cancer research</topic><topic>Cancer therapies</topic><topic>Epidemiology</topic><topic>ErbB-2 protein</topic><topic>Estrogen receptors</topic><topic>Estrogens</topic><topic>Female</topic><topic>Humans</topic><topic>Lymph nodes</topic><topic>Medical diagnosis</topic><topic>Medical records</topic><topic>Medicine and Health Sciences</topic><topic>Metabolomics</topic><topic>Metastases</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>mRNA</topic><topic>Multiomics</topic><topic>Precision medicine</topic><topic>Prognosis</topic><topic>Prospective Studies</topic><topic>Receptor, ErbB-2 - metabolism</topic><topic>Receptors, Progesterone - metabolism</topic><topic>Tissue analysis</topic><topic>Tissues</topic><topic>Triple Negative Breast Neoplasms</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Delgado, André Berli</creatorcontrib><creatorcontrib>Tylden, Eline Sol</creatorcontrib><creatorcontrib>Lukic, Marko</creatorcontrib><creatorcontrib>Moi, Line</creatorcontrib><creatorcontrib>Busund, Lill-Tove Rasmussen</creatorcontrib><creatorcontrib>Lund, Eiliv</creatorcontrib><creatorcontrib>Olsen, Karina Standahl</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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The high incidence and mortality of breast cancer calls for improved prevention, diagnostics, and treatment, including identification of new prognostic and predictive biomarkers for use in precision medicine.
With the aim of compiling a cohort amenable to integrative study designs, we collected detailed epidemiological and clinical data, blood samples, and tumor tissue from a subset of participants from the prospective, population-based Norwegian Women and Cancer (NOWAC) study. These study participants were diagnosed with invasive breast cancer in North Norway before 2013 according to the Cancer Registry of Norway and constitute the Clinical and Multi-omic (CAMO) cohort. Prospectively collected questionnaire data on lifestyle and reproductive factors and blood samples were extracted from the NOWAC study, clinical and histopathological data were manually curated from medical records, and archived tumor tissue collected.
The lifestyle and reproductive characteristics of the study participants in the CAMO cohort (n = 388) were largely similar to those of the breast cancer patients in NOWAC (n = 10 356). The majority of the cancers in the CAMO cohort were tumor grade 2 and of the luminal A subtype. Approx. 80% were estrogen receptor positive, 13% were HER2 positive, and 12% were triple negative breast cancers. Lymph node metastases were present in 31% at diagnosis. The epidemiological dataset in the CAMO cohort is complemented by mRNA, miRNA, and metabolomics analyses in plasma, as well as miRNA profiling in tumor tissue. Additionally, histological analyses at the level of proteins and miRNAs in tumor tissue are currently ongoing.
The CAMO cohort provides data suitable for epidemiological, clinical, molecular, and multi-omics investigations, thereby enabling a systems epidemiology approach to translational breast cancer research.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36745618</pmid><doi>10.1371/journal.pone.0281218</doi><orcidid>https://orcid.org/0000-0002-2539-4603</orcidid><orcidid>https://orcid.org/0000-0002-5458-1854</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biology and life sciences Biomarkers Biomarkers, Tumor - genetics Biomarkers, Tumor - metabolism Blood Breast cancer Breast Neoplasms - diagnosis Breast Neoplasms - epidemiology Breast Neoplasms - genetics Cancer research Cancer therapies Epidemiology ErbB-2 protein Estrogen receptors Estrogens Female Humans Lymph nodes Medical diagnosis Medical records Medicine and Health Sciences Metabolomics Metastases MicroRNAs - genetics miRNA mRNA Multiomics Precision medicine Prognosis Prospective Studies Receptor, ErbB-2 - metabolism Receptors, Progesterone - metabolism Tissue analysis Tissues Triple Negative Breast Neoplasms Tumors |
title | Cohort profile: The Clinical and Multi-omic (CAMO) cohort, part of the Norwegian Women and Cancer (NOWAC) study |
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