“Association of mammographic features with molecular breast tumor profiles”
Purpose: Mammographic density and tumor appearance are breast cancer prognostic factors. Conceivably, mammographic features are macroscopic reflections of tumor´s molecular composition, but to an unknown extent. Our aim was to study associations of mammographic features with molecular tumor profiles...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Cancer Treatment and Research Communications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S246829422100085X |
| _version_ | 1818873748830289920 |
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| author | Hanna Sartor Sophia Zackrisson Cecilia Hegardt Christer Larsson |
| author_facet | Hanna Sartor Sophia Zackrisson Cecilia Hegardt Christer Larsson |
| author_sort | Hanna Sartor |
| collection | DOAJ |
| description | Purpose: Mammographic density and tumor appearance are breast cancer prognostic factors. Conceivably, mammographic features are macroscopic reflections of tumor´s molecular composition, but to an unknown extent. Our aim was to study associations of mammographic features with molecular tumor profiles. Methods: Invasive breast cancers (2007-2016) in Malmö Diet and Cancer Study (MDCS) for which there were tumor RNA-sequencing analyses within Sweden Cancerome Analysis Network – Breast (SCAN-B) (n=102) or All Breast Cancer in Malmö (ABIM) (n=50) were identified. Density (fatty vs. dense), tumor appearance (mass vs. spiculation), and intrinsic subtypes were registered. Differences in gene/metagene expression and Microenvironment Cell Population Counter were analyzed with R. Overall survival was used as endpoint. Results: No gene expression differences between density groups was observed. In one cohort (but not the other), Luminal A tumors associated with fatty breasts. For spiculation vs. mass, (p<0.01, t-test) 86 genes were differentially expressed; only one gene was differentially expressed comparing density. Gene set enrichment analysis showed genes highly expressed in spiculated tumors were enriched for extracellular matrix-associated genes whereas genes highly expressed with masses were associated with proliferation. A spiculation metagene, based on differentially expressed genes, showed association with estrogen receptor positivity, lower grade, and improved survival, but it was not an independent prognostic factor. Conclusion: There are clear differences in molecular composition between breast tumors with a spiculated appearance vs. a mass as the dominant tumor appearance. However, there are no apparent molecular differences related to the density of the breast in which the tumor has arisen. |
| first_indexed | 2024-12-19T12:59:39Z |
| format | Article |
| id | doaj.art-433fab0a73354c7db254fe40aa9884f2 |
| institution | Directory Open Access Journal |
| issn | 2468-2942 |
| language | English |
| last_indexed | 2024-12-19T12:59:39Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Cancer Treatment and Research Communications |
| spelling | doaj.art-433fab0a73354c7db254fe40aa9884f22022-12-21T20:20:16ZengElsevierCancer Treatment and Research Communications2468-29422021-01-0128100387“Association of mammographic features with molecular breast tumor profiles”Hanna Sartor0Sophia Zackrisson1Cecilia Hegardt2Christer Larsson3Diagnostic Radiology, Department of Translational Medicine, Skåne University Hospital, Lund University, Sweden; Corresponding author.Diagnostic Radiology, Department of Translational Medicine, Skåne University Hospital, Lund University, SwedenDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, SwedenDivision of Translational Cancer Research, Department of Laboratory Medicine, Lund University, Lund, SwedenPurpose: Mammographic density and tumor appearance are breast cancer prognostic factors. Conceivably, mammographic features are macroscopic reflections of tumor´s molecular composition, but to an unknown extent. Our aim was to study associations of mammographic features with molecular tumor profiles. Methods: Invasive breast cancers (2007-2016) in Malmö Diet and Cancer Study (MDCS) for which there were tumor RNA-sequencing analyses within Sweden Cancerome Analysis Network – Breast (SCAN-B) (n=102) or All Breast Cancer in Malmö (ABIM) (n=50) were identified. Density (fatty vs. dense), tumor appearance (mass vs. spiculation), and intrinsic subtypes were registered. Differences in gene/metagene expression and Microenvironment Cell Population Counter were analyzed with R. Overall survival was used as endpoint. Results: No gene expression differences between density groups was observed. In one cohort (but not the other), Luminal A tumors associated with fatty breasts. For spiculation vs. mass, (p<0.01, t-test) 86 genes were differentially expressed; only one gene was differentially expressed comparing density. Gene set enrichment analysis showed genes highly expressed in spiculated tumors were enriched for extracellular matrix-associated genes whereas genes highly expressed with masses were associated with proliferation. A spiculation metagene, based on differentially expressed genes, showed association with estrogen receptor positivity, lower grade, and improved survival, but it was not an independent prognostic factor. Conclusion: There are clear differences in molecular composition between breast tumors with a spiculated appearance vs. a mass as the dominant tumor appearance. However, there are no apparent molecular differences related to the density of the breast in which the tumor has arisen.http://www.sciencedirect.com/science/article/pii/S246829422100085XMammographyDiagnostic imagingBreast neoplasmsSurvival |
| spellingShingle | Hanna Sartor Sophia Zackrisson Cecilia Hegardt Christer Larsson “Association of mammographic features with molecular breast tumor profiles” Cancer Treatment and Research Communications Mammography Diagnostic imaging Breast neoplasms Survival |
| title | “Association of mammographic features with molecular breast tumor profiles” |
| title_full | “Association of mammographic features with molecular breast tumor profiles” |
| title_fullStr | “Association of mammographic features with molecular breast tumor profiles” |
| title_full_unstemmed | “Association of mammographic features with molecular breast tumor profiles” |
| title_short | “Association of mammographic features with molecular breast tumor profiles” |
| title_sort | association of mammographic features with molecular breast tumor profiles |
| topic | Mammography Diagnostic imaging Breast neoplasms Survival |
| url | http://www.sciencedirect.com/science/article/pii/S246829422100085X |
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