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Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study
There are few radiogenomic studies to correlate ultrasound features of breast cancer with genomic changes. We investigated whether vascular ultrasound phenotypes are associated with breast cancer gene profiles for predicting angiogenesis and prognosis. We prospectively correlated quantitative and qu...
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| Published in: | Discover. Oncology 2023-04, Vol.14 (1), p.52-52, Article 52 |
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| container_end_page | 52 |
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| container_title | Discover. Oncology |
| container_volume | 14 |
| creator | Han, Mi-Ryung Park, Ah Young Seo, Bo Kyoung Bae, Min Sun Kim, Jung Sun Son, Gil Soo Lee, Hye Yoon Chang, Young Woo Cho, Kyu Ran Song, Sung Eun Woo, Ok Hee Ju, Hye-Yeon Oh, Hyunseung |
| description | There are few radiogenomic studies to correlate ultrasound features of breast cancer with genomic changes. We investigated whether vascular ultrasound phenotypes are associated with breast cancer gene profiles for predicting angiogenesis and prognosis. We prospectively correlated quantitative and qualitative features of microvascular ultrasound (vascular index, vessel morphology, distribution, and penetrating vessel) and contrast-enhanced ultrasound (time–intensity curve parameters and enhancement pattern) with genomic characteristics in 31 breast cancers. DNA obtained from breast tumors and normal tissues were analyzed using targeted next-generation sequencing of 105 genes. The single-variant association test was used to identify correlations between vascular ultrasound features and genomic profiles. Chi-square analysis was used to detect single nucleotide polymorphisms (SNPs) associated with ultrasound features by estimating
p
values and odds ratios (ORs). Eight ultrasound features were significantly associated with 9 SNPs (
p
|
| doi_str_mv | 10.1007/s12672-023-00657-8 |
| format | article |
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p
values and odds ratios (ORs). Eight ultrasound features were significantly associated with 9 SNPs (
p
< 0.05). Among them, four ultrasound features were positively associated with 5 SNPs: high vascular index with rs1136201 in
ERBB2
(
p
= 0.04, OR = 7.75); large area under the curve on contrast-enhanced ultrasound with rs35597368 in
PDGFRA
(
p
= 0.04, OR = 4.07); high peak intensity with rs35597368 in
PDGFRA
(
p
= 0.049, OR = 4.05) and rs2305948 in
KDR
(
p
= 0.04, OR = 5.10); and long mean transit time with rs2275237 in
ARNT
(
p
= 0.02, OR = 10.25) and rs755793 in
FGFR2
(
p
= 0.02, OR = 10.25). We identified 198 non-silent SNPs in 71 various cancer-related genes. Vascular ultrasound features can reflect genomic changes associated with angiogenesis and prognosis in breast cancer.</description><identifier>ISSN: 2730-6011</identifier><identifier>EISSN: 2730-6011</identifier><identifier>DOI: 10.1007/s12672-023-00657-8</identifier><identifier>PMID: 37120792</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Angiogenesis ; Biomarkers ; Breast cancer ; Breast neoplasms ; Brief Communication ; Cancer Research ; Contrast agents ; DNA ; Genes ; Genomes ; Growth factors ; Hypoxia ; Internal Medicine ; Magnetic resonance imaging ; Medical prognosis ; Medicine ; Medicine & Public Health ; Molecular Medicine ; Morphology ; Mutation ; Oncology ; Prospective studies ; Radiotherapy ; Sequence analysis ; Surgical Oncology ; Tumors ; Ultrasonic imaging ; Ultrasonography</subject><ispartof>Discover. Oncology, 2023-04, Vol.14 (1), p.52-52, Article 52</ispartof><rights>The Author(s) 2023</rights><rights>2023. The Author(s).</rights><rights>The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). 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><cites>FETCH-LOGICAL-c492t-33d6a13db9349093279d3a3c4b92d4181dd942aaeb78e8c0a3e265de2c03ed923</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2807780631/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2807780631?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,44589,53790,53792,74997</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37120792$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Han, Mi-Ryung</creatorcontrib><creatorcontrib>Park, Ah Young</creatorcontrib><creatorcontrib>Seo, Bo Kyoung</creatorcontrib><creatorcontrib>Bae, Min Sun</creatorcontrib><creatorcontrib>Kim, Jung Sun</creatorcontrib><creatorcontrib>Son, Gil Soo</creatorcontrib><creatorcontrib>Lee, Hye Yoon</creatorcontrib><creatorcontrib>Chang, Young Woo</creatorcontrib><creatorcontrib>Cho, Kyu Ran</creatorcontrib><creatorcontrib>Song, Sung Eun</creatorcontrib><creatorcontrib>Woo, Ok Hee</creatorcontrib><creatorcontrib>Ju, Hye-Yeon</creatorcontrib><creatorcontrib>Oh, Hyunseung</creatorcontrib><title>Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study</title><title>Discover. Oncology</title><addtitle>Discov Onc</addtitle><addtitle>Discov Oncol</addtitle><description>There are few radiogenomic studies to correlate ultrasound features of breast cancer with genomic changes. We investigated whether vascular ultrasound phenotypes are associated with breast cancer gene profiles for predicting angiogenesis and prognosis. We prospectively correlated quantitative and qualitative features of microvascular ultrasound (vascular index, vessel morphology, distribution, and penetrating vessel) and contrast-enhanced ultrasound (time–intensity curve parameters and enhancement pattern) with genomic characteristics in 31 breast cancers. DNA obtained from breast tumors and normal tissues were analyzed using targeted next-generation sequencing of 105 genes. The single-variant association test was used to identify correlations between vascular ultrasound features and genomic profiles. Chi-square analysis was used to detect single nucleotide polymorphisms (SNPs) associated with ultrasound features by estimating
p
values and odds ratios (ORs). Eight ultrasound features were significantly associated with 9 SNPs (
p
< 0.05). Among them, four ultrasound features were positively associated with 5 SNPs: high vascular index with rs1136201 in
ERBB2
(
p
= 0.04, OR = 7.75); large area under the curve on contrast-enhanced ultrasound with rs35597368 in
PDGFRA
(
p
= 0.04, OR = 4.07); high peak intensity with rs35597368 in
PDGFRA
(
p
= 0.049, OR = 4.05) and rs2305948 in
KDR
(
p
= 0.04, OR = 5.10); and long mean transit time with rs2275237 in
ARNT
(
p
= 0.02, OR = 10.25) and rs755793 in
FGFR2
(
p
= 0.02, OR = 10.25). We identified 198 non-silent SNPs in 71 various cancer-related genes. Vascular ultrasound features can reflect genomic changes associated with angiogenesis and prognosis in breast cancer.</description><subject>Angiogenesis</subject><subject>Biomarkers</subject><subject>Breast cancer</subject><subject>Breast neoplasms</subject><subject>Brief Communication</subject><subject>Cancer Research</subject><subject>Contrast agents</subject><subject>DNA</subject><subject>Genes</subject><subject>Genomes</subject><subject>Growth factors</subject><subject>Hypoxia</subject><subject>Internal Medicine</subject><subject>Magnetic resonance imaging</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Molecular Medicine</subject><subject>Morphology</subject><subject>Mutation</subject><subject>Oncology</subject><subject>Prospective studies</subject><subject>Radiotherapy</subject><subject>Sequence analysis</subject><subject>Surgical Oncology</subject><subject>Tumors</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonography</subject><issn>2730-6011</issn><issn>2730-6011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kstuFDEQRVsIRKKQH2CBLLFh06H86IfZoFEgECmCDaytartm8KjHHuzuoPw9znQICQtWftStU-XyraqXHM44QPc2c9F2ogYha4C26er-SXUsOgl1C5w_fbA_qk5z3gKAaLiU0DyvjmTHBXRaHFd-lXO0HicfAxto-kUU2DVmO4-Y2DxOCXOcg2NrwmlOlBmWw4cvK5bp50zB-rBhvqQmwjwxi8FSeseQ7RONfucDphuWp9ndvKierXHMdHq3nlTfLz5-O_9cX339dHm-uqqt0mKqpXQtcukGLZUGLUWnnURp1aCFU7znzmklEGnoeuotoCTRNo6EBUlOC3lSXS5cF3Fr9snvSgsmojeHi5g2BtPk7UjGqQacHJphrVvlSgXLLQnFW9WIQdC6sN4vrP087MhZCmUe4yPo40jwP8wmXhsOXOlG9oXw5o6QYplXnszOZ0vjiIHinI3oyz_wTum2SF__I93GOYUyq4Oq66GVvKjEorIp5pxofd8NB3PrDLM4wxRnmIMzzG0Xrx6-4z7ljw-KQC6CXEJhQ-lv7f9gfwO5hsTO</recordid><startdate>20230430</startdate><enddate>20230430</enddate><creator>Han, Mi-Ryung</creator><creator>Park, Ah Young</creator><creator>Seo, Bo Kyoung</creator><creator>Bae, Min Sun</creator><creator>Kim, Jung Sun</creator><creator>Son, Gil Soo</creator><creator>Lee, Hye Yoon</creator><creator>Chang, Young Woo</creator><creator>Cho, Kyu Ran</creator><creator>Song, Sung Eun</creator><creator>Woo, Ok Hee</creator><creator>Ju, Hye-Yeon</creator><creator>Oh, Hyunseung</creator><general>Springer US</general><general>Springer Nature B.V</general><general>Springer</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20230430</creationdate><title>Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study</title><author>Han, Mi-Ryung ; Park, Ah Young ; Seo, Bo Kyoung ; Bae, Min Sun ; Kim, Jung Sun ; Son, Gil Soo ; Lee, Hye Yoon ; Chang, Young Woo ; Cho, Kyu Ran ; Song, Sung Eun ; Woo, Ok Hee ; Ju, Hye-Yeon ; Oh, Hyunseung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c492t-33d6a13db9349093279d3a3c4b92d4181dd942aaeb78e8c0a3e265de2c03ed923</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Angiogenesis</topic><topic>Biomarkers</topic><topic>Breast cancer</topic><topic>Breast neoplasms</topic><topic>Brief Communication</topic><topic>Cancer Research</topic><topic>Contrast agents</topic><topic>DNA</topic><topic>Genes</topic><topic>Genomes</topic><topic>Growth factors</topic><topic>Hypoxia</topic><topic>Internal Medicine</topic><topic>Magnetic resonance imaging</topic><topic>Medical prognosis</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Molecular Medicine</topic><topic>Morphology</topic><topic>Mutation</topic><topic>Oncology</topic><topic>Prospective studies</topic><topic>Radiotherapy</topic><topic>Sequence analysis</topic><topic>Surgical Oncology</topic><topic>Tumors</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Han, Mi-Ryung</creatorcontrib><creatorcontrib>Park, Ah Young</creatorcontrib><creatorcontrib>Seo, Bo Kyoung</creatorcontrib><creatorcontrib>Bae, Min Sun</creatorcontrib><creatorcontrib>Kim, Jung Sun</creatorcontrib><creatorcontrib>Son, Gil Soo</creatorcontrib><creatorcontrib>Lee, Hye Yoon</creatorcontrib><creatorcontrib>Chang, Young Woo</creatorcontrib><creatorcontrib>Cho, Kyu Ran</creatorcontrib><creatorcontrib>Song, Sung Eun</creatorcontrib><creatorcontrib>Woo, Ok Hee</creatorcontrib><creatorcontrib>Ju, Hye-Yeon</creatorcontrib><creatorcontrib>Oh, Hyunseung</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Discover. Oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Han, Mi-Ryung</au><au>Park, Ah Young</au><au>Seo, Bo Kyoung</au><au>Bae, Min Sun</au><au>Kim, Jung Sun</au><au>Son, Gil Soo</au><au>Lee, Hye Yoon</au><au>Chang, Young Woo</au><au>Cho, Kyu Ran</au><au>Song, Sung Eun</au><au>Woo, Ok Hee</au><au>Ju, Hye-Yeon</au><au>Oh, Hyunseung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study</atitle><jtitle>Discover. Oncology</jtitle><stitle>Discov Onc</stitle><addtitle>Discov Oncol</addtitle><date>2023-04-30</date><risdate>2023</risdate><volume>14</volume><issue>1</issue><spage>52</spage><epage>52</epage><pages>52-52</pages><artnum>52</artnum><issn>2730-6011</issn><eissn>2730-6011</eissn><abstract>There are few radiogenomic studies to correlate ultrasound features of breast cancer with genomic changes. We investigated whether vascular ultrasound phenotypes are associated with breast cancer gene profiles for predicting angiogenesis and prognosis. We prospectively correlated quantitative and qualitative features of microvascular ultrasound (vascular index, vessel morphology, distribution, and penetrating vessel) and contrast-enhanced ultrasound (time–intensity curve parameters and enhancement pattern) with genomic characteristics in 31 breast cancers. DNA obtained from breast tumors and normal tissues were analyzed using targeted next-generation sequencing of 105 genes. The single-variant association test was used to identify correlations between vascular ultrasound features and genomic profiles. Chi-square analysis was used to detect single nucleotide polymorphisms (SNPs) associated with ultrasound features by estimating
p
values and odds ratios (ORs). Eight ultrasound features were significantly associated with 9 SNPs (
p
< 0.05). Among them, four ultrasound features were positively associated with 5 SNPs: high vascular index with rs1136201 in
ERBB2
(
p
= 0.04, OR = 7.75); large area under the curve on contrast-enhanced ultrasound with rs35597368 in
PDGFRA
(
p
= 0.04, OR = 4.07); high peak intensity with rs35597368 in
PDGFRA
(
p
= 0.049, OR = 4.05) and rs2305948 in
KDR
(
p
= 0.04, OR = 5.10); and long mean transit time with rs2275237 in
ARNT
(
p
= 0.02, OR = 10.25) and rs755793 in
FGFR2
(
p
= 0.02, OR = 10.25). We identified 198 non-silent SNPs in 71 various cancer-related genes. Vascular ultrasound features can reflect genomic changes associated with angiogenesis and prognosis in breast cancer.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>37120792</pmid><doi>10.1007/s12672-023-00657-8</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Discover. Oncology, 2023-04, Vol.14 (1), p.52-52, Article 52 |
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| language | eng |
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| source | Publicly Available Content Database; PubMed Central |
| subjects | Angiogenesis Biomarkers Breast cancer Breast neoplasms Brief Communication Cancer Research Contrast agents DNA Genes Genomes Growth factors Hypoxia Internal Medicine Magnetic resonance imaging Medical prognosis Medicine Medicine & Public Health Molecular Medicine Morphology Mutation Oncology Prospective studies Radiotherapy Sequence analysis Surgical Oncology Tumors Ultrasonic imaging Ultrasonography |
| title | Association between vascular ultrasound features and DNA sequencing in breast cancer: a preliminary study |
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