Custom target-sequencing in triple-negative and luminal breast cancer from young Brazilian patients
•In breast cancer from young women:TP53 was affected in 75 % of TN samples, in concomitance with at least one additional driver gene, mainly NF1, NOTCH1 or PTPN13.•In TN tumors carrying a wild type TP53, other drivers were TSG, like ATR and NF1.•PIK3CA and GATA3 were the main cancer driver genes in...
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| Veröffentlicht in: | Clinics (São Paulo, Brazil) Brazil), 2024-01, Vol.79, p.100479, Article 100479 |
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| creator | Serio, Pedro Adolpho de Menezes Pacheco Saccaro, Daniela Marques de Gouvêa, Ana Carolina Ribeiro Chaves Encinas, Giselly Maistro, Simone Pereira, Gláucia Fernanda de Lima Rocha, Vinícius Marques de Souza, Larissa Dias da Silva, Viviane Jennifer Katayama, Maria Lucia Hirata Folgueira, Maria Aparecida Azevedo Koike |
| description | •In breast cancer from young women:TP53 was affected in 75 % of TN samples, in concomitance with at least one additional driver gene, mainly NF1, NOTCH1 or PTPN13.•In TN tumors carrying a wild type TP53, other drivers were TSG, like ATR and NF1.•PIK3CA and GATA3 were the main cancer driver genes in luminal samples, and candidate drivers were GRHL2 and SMURF2.•CACNA1E is a candidate cancer driver in both luminal and TN samples.
To identify somatic mutations in tumors from young women with triple-negative or luminal breast cancer, through targeted sequencing and to explore the cancer driver potential of these gene variants.
A customized gene panel was assembled based on data from previous sequencing studies of breast cancer from young women. Triple-negative and luminal tumors and paired blood samples from young breast cancer patients were sequenced, and identified gene variants were searched for their driver potential, in databases and literature. Additionally, the authors performed an exploratory analysis using large, curated databases to evaluate the frequency of somatic mutations in this gene panel in tumors stratified by age groups (every 10 years).
A total of 28 young women had their tumoral tissue and blood samples sequenced. Using a customized panel of 64 genes, the authors could detect cancer drivers in 11/12 (91.7 %) TNBC samples and 11/16 (68.7 %) luminal samples. Among TNBC patients, the most frequent cancer driver was TP53, followed by NF1, NOTCH1 and PTPN13. In luminal samples, PIK3CA and GATA3 were the main cancer drivers, and other drivers were GRHL2 and SMURF2. CACNA1E was involved in both TN and luminal BC. The exploratory analysis also indicated a role for SMURF2 in luminal BC development in young patients.
The data further indicates that some cancer drivers are more common in a specific breast cancer subtype from young patients, such as TP53 in TNBC and PIK3CA and GATA3 in luminal samples. These results also provide additional evidence that some genes not considered classical cancer-causing genes, such as CACNA1E, GRHL2 and SMURF2 might be cancer drivers in this age group. |
| doi_str_mv | 10.1016/j.clinsp.2024.100479 |
| format | Article |
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To identify somatic mutations in tumors from young women with triple-negative or luminal breast cancer, through targeted sequencing and to explore the cancer driver potential of these gene variants.
A customized gene panel was assembled based on data from previous sequencing studies of breast cancer from young women. Triple-negative and luminal tumors and paired blood samples from young breast cancer patients were sequenced, and identified gene variants were searched for their driver potential, in databases and literature. Additionally, the authors performed an exploratory analysis using large, curated databases to evaluate the frequency of somatic mutations in this gene panel in tumors stratified by age groups (every 10 years).
A total of 28 young women had their tumoral tissue and blood samples sequenced. Using a customized panel of 64 genes, the authors could detect cancer drivers in 11/12 (91.7 %) TNBC samples and 11/16 (68.7 %) luminal samples. Among TNBC patients, the most frequent cancer driver was TP53, followed by NF1, NOTCH1 and PTPN13. In luminal samples, PIK3CA and GATA3 were the main cancer drivers, and other drivers were GRHL2 and SMURF2. CACNA1E was involved in both TN and luminal BC. The exploratory analysis also indicated a role for SMURF2 in luminal BC development in young patients.
The data further indicates that some cancer drivers are more common in a specific breast cancer subtype from young patients, such as TP53 in TNBC and PIK3CA and GATA3 in luminal samples. These results also provide additional evidence that some genes not considered classical cancer-causing genes, such as CACNA1E, GRHL2 and SMURF2 might be cancer drivers in this age group.</description><identifier>ISSN: 1807-5932</identifier><identifier>ISSN: 1980-5322</identifier><identifier>EISSN: 1980-5322</identifier><identifier>DOI: 10.1016/j.clinsp.2024.100479</identifier><identifier>PMID: 39208653</identifier><language>eng</language><publisher>United States: Elsevier España, S.L.U</publisher><subject>Adult ; Age Factors ; Biomarkers, Tumor - genetics ; Brazil ; Breast Cancer ; Breast Neoplasms - genetics ; Driver Genes ; Female ; Humans ; MEDICINE, GENERAL & INTERNAL ; Middle Aged ; Mutation ; Triple Negative Breast Neoplasms - genetics ; Young Adult ; Young Adults</subject><ispartof>Clinics (São Paulo, Brazil), 2024-01, Vol.79, p.100479, Article 100479</ispartof><rights>2024 HCFMUSP</rights><rights>Copyright © 2024 HCFMUSP. Published by Elsevier España, S.L.U. All rights reserved.</rights><rights>This work is licensed under a Creative Commons Attribution 4.0 International License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-785185b70ab8ca560847ab978c8a827d7da423a90ec1883414107de7c51b759e3</cites><orcidid>0000-0002-0937-2391 ; 0000-0002-8265-2808 ; 0000-0002-3447-1631 ; 0000-0003-4363-6669 ; 0000-0002-2647-7400 ; 0000-0002-2672-8222 ; 0000-0001-9269-8052 ; 0000-0003-4018-0926 ; 0000-0001-9498-3658 ; 0000-0002-1668-7295 ; 0000-0002-5934-011X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,4024,27923,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39208653$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Serio, Pedro Adolpho de Menezes Pacheco</creatorcontrib><creatorcontrib>Saccaro, Daniela Marques</creatorcontrib><creatorcontrib>de Gouvêa, Ana Carolina Ribeiro Chaves</creatorcontrib><creatorcontrib>Encinas, Giselly</creatorcontrib><creatorcontrib>Maistro, Simone</creatorcontrib><creatorcontrib>Pereira, Gláucia Fernanda de Lima</creatorcontrib><creatorcontrib>Rocha, Vinícius Marques</creatorcontrib><creatorcontrib>de Souza, Larissa Dias</creatorcontrib><creatorcontrib>da Silva, Viviane Jennifer</creatorcontrib><creatorcontrib>Katayama, Maria Lucia Hirata</creatorcontrib><creatorcontrib>Folgueira, Maria Aparecida Azevedo Koike</creatorcontrib><title>Custom target-sequencing in triple-negative and luminal breast cancer from young Brazilian patients</title><title>Clinics (São Paulo, Brazil)</title><addtitle>Clinics (Sao Paulo)</addtitle><description>•In breast cancer from young women:TP53 was affected in 75 % of TN samples, in concomitance with at least one additional driver gene, mainly NF1, NOTCH1 or PTPN13.•In TN tumors carrying a wild type TP53, other drivers were TSG, like ATR and NF1.•PIK3CA and GATA3 were the main cancer driver genes in luminal samples, and candidate drivers were GRHL2 and SMURF2.•CACNA1E is a candidate cancer driver in both luminal and TN samples.
To identify somatic mutations in tumors from young women with triple-negative or luminal breast cancer, through targeted sequencing and to explore the cancer driver potential of these gene variants.
A customized gene panel was assembled based on data from previous sequencing studies of breast cancer from young women. Triple-negative and luminal tumors and paired blood samples from young breast cancer patients were sequenced, and identified gene variants were searched for their driver potential, in databases and literature. Additionally, the authors performed an exploratory analysis using large, curated databases to evaluate the frequency of somatic mutations in this gene panel in tumors stratified by age groups (every 10 years).
A total of 28 young women had their tumoral tissue and blood samples sequenced. Using a customized panel of 64 genes, the authors could detect cancer drivers in 11/12 (91.7 %) TNBC samples and 11/16 (68.7 %) luminal samples. Among TNBC patients, the most frequent cancer driver was TP53, followed by NF1, NOTCH1 and PTPN13. In luminal samples, PIK3CA and GATA3 were the main cancer drivers, and other drivers were GRHL2 and SMURF2. CACNA1E was involved in both TN and luminal BC. The exploratory analysis also indicated a role for SMURF2 in luminal BC development in young patients.
The data further indicates that some cancer drivers are more common in a specific breast cancer subtype from young patients, such as TP53 in TNBC and PIK3CA and GATA3 in luminal samples. These results also provide additional evidence that some genes not considered classical cancer-causing genes, such as CACNA1E, GRHL2 and SMURF2 might be cancer drivers in this age group.</description><subject>Adult</subject><subject>Age Factors</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Brazil</subject><subject>Breast Cancer</subject><subject>Breast Neoplasms - genetics</subject><subject>Driver Genes</subject><subject>Female</subject><subject>Humans</subject><subject>MEDICINE, GENERAL & INTERNAL</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Triple Negative Breast Neoplasms - genetics</subject><subject>Young Adult</subject><subject>Young Adults</subject><issn>1807-5932</issn><issn>1980-5322</issn><issn>1980-5322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u3CAUha2qUZOmfYOqYtmNpxcwA2wqtaP-SZG6SLJGGN8ZMcLYBRwpefpiOe2yKxA6557Ld5rmHYUdBbr_eN654GOedwxYV5-gk_pFc0W1glZwxl7WuwLZCs3ZZfM65zMA17wTr5pLrhmoveBXjTssuUwjKTadsLQZfy8YnY8n4iMpyc8B24gnW_wDEhsHEpbRRxtIn9DmQpyNDhM5pjrjcVqq70uyTz54G8lcXRhLftNcHG3I-Pb5vG7uv329O_xob359_3n4fNM6zvallUpQJXoJtlfOij2oTtpeS-WUVUwOcrAd41YDOqoU72hHQQ4onaC9FBr5dbPb5mbnMUzmPC2prprN7QrCrCBWVgBQaXFOq-HDZpjTVP-dixl9dhiCjTgt2XDQWmoNlFVpt0ldmnJOeDRz8qNNj4aCWfswZ7P1YdYMs_VRbe-fE5Z-xOGf6W8BVfBpE2AF8-AxmXX5ynTwCV0xw-T_n_AHyl-bsg</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Serio, Pedro Adolpho de Menezes Pacheco</creator><creator>Saccaro, Daniela Marques</creator><creator>de Gouvêa, Ana Carolina Ribeiro Chaves</creator><creator>Encinas, Giselly</creator><creator>Maistro, Simone</creator><creator>Pereira, Gláucia Fernanda de Lima</creator><creator>Rocha, Vinícius Marques</creator><creator>de Souza, Larissa Dias</creator><creator>da Silva, Viviane Jennifer</creator><creator>Katayama, Maria Lucia Hirata</creator><creator>Folgueira, Maria Aparecida Azevedo Koike</creator><general>Elsevier España, S.L.U</general><general>Faculdade de Medicina / USP</general><scope>6I.</scope><scope>AAFTH</scope><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>7X8</scope><scope>GPN</scope><orcidid>https://orcid.org/0000-0002-0937-2391</orcidid><orcidid>https://orcid.org/0000-0002-8265-2808</orcidid><orcidid>https://orcid.org/0000-0002-3447-1631</orcidid><orcidid>https://orcid.org/0000-0003-4363-6669</orcidid><orcidid>https://orcid.org/0000-0002-2647-7400</orcidid><orcidid>https://orcid.org/0000-0002-2672-8222</orcidid><orcidid>https://orcid.org/0000-0001-9269-8052</orcidid><orcidid>https://orcid.org/0000-0003-4018-0926</orcidid><orcidid>https://orcid.org/0000-0001-9498-3658</orcidid><orcidid>https://orcid.org/0000-0002-1668-7295</orcidid><orcidid>https://orcid.org/0000-0002-5934-011X</orcidid></search><sort><creationdate>202401</creationdate><title>Custom target-sequencing in triple-negative and luminal breast cancer from young Brazilian patients</title><author>Serio, Pedro Adolpho de Menezes Pacheco ; 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To identify somatic mutations in tumors from young women with triple-negative or luminal breast cancer, through targeted sequencing and to explore the cancer driver potential of these gene variants.
A customized gene panel was assembled based on data from previous sequencing studies of breast cancer from young women. Triple-negative and luminal tumors and paired blood samples from young breast cancer patients were sequenced, and identified gene variants were searched for their driver potential, in databases and literature. Additionally, the authors performed an exploratory analysis using large, curated databases to evaluate the frequency of somatic mutations in this gene panel in tumors stratified by age groups (every 10 years).
A total of 28 young women had their tumoral tissue and blood samples sequenced. Using a customized panel of 64 genes, the authors could detect cancer drivers in 11/12 (91.7 %) TNBC samples and 11/16 (68.7 %) luminal samples. Among TNBC patients, the most frequent cancer driver was TP53, followed by NF1, NOTCH1 and PTPN13. In luminal samples, PIK3CA and GATA3 were the main cancer drivers, and other drivers were GRHL2 and SMURF2. CACNA1E was involved in both TN and luminal BC. The exploratory analysis also indicated a role for SMURF2 in luminal BC development in young patients.
The data further indicates that some cancer drivers are more common in a specific breast cancer subtype from young patients, such as TP53 in TNBC and PIK3CA and GATA3 in luminal samples. These results also provide additional evidence that some genes not considered classical cancer-causing genes, such as CACNA1E, GRHL2 and SMURF2 might be cancer drivers in this age group.</abstract><cop>United States</cop><pub>Elsevier España, S.L.U</pub><pmid>39208653</pmid><doi>10.1016/j.clinsp.2024.100479</doi><orcidid>https://orcid.org/0000-0002-0937-2391</orcidid><orcidid>https://orcid.org/0000-0002-8265-2808</orcidid><orcidid>https://orcid.org/0000-0002-3447-1631</orcidid><orcidid>https://orcid.org/0000-0003-4363-6669</orcidid><orcidid>https://orcid.org/0000-0002-2647-7400</orcidid><orcidid>https://orcid.org/0000-0002-2672-8222</orcidid><orcidid>https://orcid.org/0000-0001-9269-8052</orcidid><orcidid>https://orcid.org/0000-0003-4018-0926</orcidid><orcidid>https://orcid.org/0000-0001-9498-3658</orcidid><orcidid>https://orcid.org/0000-0002-1668-7295</orcidid><orcidid>https://orcid.org/0000-0002-5934-011X</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Clinics (São Paulo, Brazil), 2024-01, Vol.79, p.100479, Article 100479 |
| issn | 1807-5932 1980-5322 1980-5322 |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection |
| subjects | Adult Age Factors Biomarkers, Tumor - genetics Brazil Breast Cancer Breast Neoplasms - genetics Driver Genes Female Humans MEDICINE, GENERAL & INTERNAL Middle Aged Mutation Triple Negative Breast Neoplasms - genetics Young Adult Young Adults |
| title | Custom target-sequencing in triple-negative and luminal breast cancer from young Brazilian patients |
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