Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes
Non-sentinel lymph node (NSLN) status prediction with molecular biomarkers may make some sentinel lymph node (SLN) positive breast cancer patients avoid the axillary lymph node dissection, but the available markers remain limited. SLN positive patients with and without NSLN invasion were selected, a...
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| Veröffentlicht in: | World journal of surgical oncology 2015-08, Vol.13 (1), p.258-258, Article 258 |
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| container_title | World journal of surgical oncology |
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| creator | Liang, Feng Qu, Hongzhu Lin, Qiang Yang, Yadong Ruan, Xiuyan Zhang, Bo Liu, Yi Yu, Chengze Zhang, Hongyan Fang, Xiangdong Hao, Xiaopeng |
| description | Non-sentinel lymph node (NSLN) status prediction with molecular biomarkers may make some sentinel lymph node (SLN) positive breast cancer patients avoid the axillary lymph node dissection, but the available markers remain limited.
SLN positive patients with and without NSLN invasion were selected, and genes differentially expressed or fused in SLN metastasis were screened by next-generation RNA sequencing.
Six candidates (all ER/PR+, HER2-, Ki-67 |
| doi_str_mv | 10.1186/s12957-015-0642-2 |
| format | Article |
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SLN positive patients with and without NSLN invasion were selected, and genes differentially expressed or fused in SLN metastasis were screened by next-generation RNA sequencing.
Six candidates (all ER/PR+, HER2-, Ki-67 <20%) with metastatic SLNs selected from 305 patients were equally categorized as NSLN negative and positive. We identified 103 specifically expressed genes in the NSLN negative group and 47 in the NSLN positive group. Among them, FABP1 (negative group) and CYP2A13 (positive group) were the only 2 protein-encoding genes with expression levels in the 8th to 10th deciles. Using a false discovery rate threshold of <0.05, 62 up-regulated genes and 98 down-regulated genes were discovered in the NSLN positive group. Furthermore, 10 gene fusions were identified in this group with the most frequently fused gene being IGLL5.
The biomarkers screened in present study may broaden our understanding of the mechanisms of breast cancer metastasis to the lymph nodes and contribute to the axillary surgery selection for SLN positive patients.</description><identifier>ISSN: 1477-7819</identifier><identifier>EISSN: 1477-7819</identifier><identifier>DOI: 10.1186/s12957-015-0642-2</identifier><identifier>PMID: 26311227</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Biological markers ; Biomarkers, Tumor - genetics ; Breast cancer ; Breast Neoplasms - genetics ; Breast Neoplasms - pathology ; Breast Neoplasms - surgery ; Cancer ; Cancer patients ; Carcinoma, Ductal, Breast - genetics ; Carcinoma, Ductal, Breast - secondary ; Carcinoma, Ductal, Breast - surgery ; Development and progression ; Diagnosis ; Female ; Follow-Up Studies ; Genes ; Genetic aspects ; High-Throughput Nucleotide Sequencing - methods ; Humans ; Lymph Nodes - pathology ; Lymph Nodes - surgery ; Lymphatic Metastasis ; Metastasis ; Neoplasm Grading ; Neoplasm Staging ; Oncology, Experimental ; Physiological aspects ; Prognosis ; Risk factors ; RNA ; RNA sequencing ; Sentinel Lymph Node Biopsy ; Sequence Analysis, RNA - methods</subject><ispartof>World journal of surgical oncology, 2015-08, Vol.13 (1), p.258-258, Article 258</ispartof><rights>COPYRIGHT 2015 BioMed Central Ltd.</rights><rights>Copyright BioMed Central 2015</rights><rights>Liang et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c525t-d63fde8b1cc88d2ee5815cf1691b50c71ac1cefabe59bc1b7a44fa2ee20a31603</citedby><cites>FETCH-LOGICAL-c525t-d63fde8b1cc88d2ee5815cf1691b50c71ac1cefabe59bc1b7a44fa2ee20a31603</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551378/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4551378/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26311227$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liang, Feng</creatorcontrib><creatorcontrib>Qu, Hongzhu</creatorcontrib><creatorcontrib>Lin, Qiang</creatorcontrib><creatorcontrib>Yang, Yadong</creatorcontrib><creatorcontrib>Ruan, Xiuyan</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Liu, Yi</creatorcontrib><creatorcontrib>Yu, Chengze</creatorcontrib><creatorcontrib>Zhang, Hongyan</creatorcontrib><creatorcontrib>Fang, Xiangdong</creatorcontrib><creatorcontrib>Hao, Xiaopeng</creatorcontrib><title>Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes</title><title>World journal of surgical oncology</title><addtitle>World J Surg Oncol</addtitle><description>Non-sentinel lymph node (NSLN) status prediction with molecular biomarkers may make some sentinel lymph node (SLN) positive breast cancer patients avoid the axillary lymph node dissection, but the available markers remain limited.
SLN positive patients with and without NSLN invasion were selected, and genes differentially expressed or fused in SLN metastasis were screened by next-generation RNA sequencing.
Six candidates (all ER/PR+, HER2-, Ki-67 <20%) with metastatic SLNs selected from 305 patients were equally categorized as NSLN negative and positive. We identified 103 specifically expressed genes in the NSLN negative group and 47 in the NSLN positive group. Among them, FABP1 (negative group) and CYP2A13 (positive group) were the only 2 protein-encoding genes with expression levels in the 8th to 10th deciles. Using a false discovery rate threshold of <0.05, 62 up-regulated genes and 98 down-regulated genes were discovered in the NSLN positive group. Furthermore, 10 gene fusions were identified in this group with the most frequently fused gene being IGLL5.
The biomarkers screened in present study may broaden our understanding of the mechanisms of breast cancer metastasis to the lymph nodes and contribute to the axillary surgery selection for SLN positive patients.</description><subject>Biological markers</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - pathology</subject><subject>Breast Neoplasms - surgery</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Carcinoma, Ductal, Breast - genetics</subject><subject>Carcinoma, Ductal, Breast - secondary</subject><subject>Carcinoma, Ductal, Breast - surgery</subject><subject>Development and progression</subject><subject>Diagnosis</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>Humans</subject><subject>Lymph Nodes - pathology</subject><subject>Lymph Nodes - surgery</subject><subject>Lymphatic Metastasis</subject><subject>Metastasis</subject><subject>Neoplasm Grading</subject><subject>Neoplasm Staging</subject><subject>Oncology, Experimental</subject><subject>Physiological aspects</subject><subject>Prognosis</subject><subject>Risk factors</subject><subject>RNA</subject><subject>RNA sequencing</subject><subject>Sentinel Lymph Node Biopsy</subject><subject>Sequence Analysis, RNA - methods</subject><issn>1477-7819</issn><issn>1477-7819</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptkl2P1CAUhhujcdfVH-CNITEx3nTl0FI6NyaTjV_JqonRa0Lp6ZSVwghUnf_kj5Q66zpjNlzw9bwvcHiL4jHQc4C2eRGBrbgoKfCSNjUr2Z3iFGohStHC6u7B-KR4EOMVpayqeHW_OGFNBcCYOC1-vfcW9WxVIJ3xkwpfMUQSdUB02JNuRxz-TOUmz4JKxjvy6cOaRPw2o9PGbcjgA3HelRFdMg4tsbtpO-alHklMKs2RbAP2Rv8RG0e6gComopXTGMg2m2ZlJD9MGsmESS0io8ktfvFhcW9QNuKj6_6s-PL61eeLt-XlxzfvLtaXpeaMp7JvqqHHtgOt27ZniLwFrgdoVtBxqgUoDRoH1SFfdRo6oep6UJljVFXQ0OqseLn33c7dhL3OVwnKym0wuUA76ZWRxzvOjHLjv8uac6hEmw2eXxsEnysVk5xM1GitcujnKEHQdkUpZ5DRp_-hV34OLj8vUy0VwADEP2qjLErjBp_P1YupXPMaOK2atsnU-S1Ubj1ORnuHg8nrR4JnB4IRlU1j9HZe_ioeg7AHdfAxBhxuigFULlmU-yzKnEW5ZFGyrHlyWMUbxd_wVb8BOFfeHA</recordid><startdate>20150828</startdate><enddate>20150828</enddate><creator>Liang, Feng</creator><creator>Qu, Hongzhu</creator><creator>Lin, Qiang</creator><creator>Yang, Yadong</creator><creator>Ruan, Xiuyan</creator><creator>Zhang, Bo</creator><creator>Liu, Yi</creator><creator>Yu, Chengze</creator><creator>Zhang, Hongyan</creator><creator>Fang, Xiangdong</creator><creator>Hao, Xiaopeng</creator><general>BioMed Central Ltd</general><general>BioMed Central</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>7QL</scope><scope>7QO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150828</creationdate><title>Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes</title><author>Liang, Feng ; Qu, Hongzhu ; Lin, Qiang ; Yang, Yadong ; Ruan, Xiuyan ; Zhang, Bo ; Liu, Yi ; Yu, Chengze ; Zhang, Hongyan ; Fang, Xiangdong ; Hao, Xiaopeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c525t-d63fde8b1cc88d2ee5815cf1691b50c71ac1cefabe59bc1b7a44fa2ee20a31603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Biological markers</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - genetics</topic><topic>Breast Neoplasms - pathology</topic><topic>Breast Neoplasms - surgery</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Carcinoma, Ductal, Breast - genetics</topic><topic>Carcinoma, Ductal, Breast - secondary</topic><topic>Carcinoma, Ductal, Breast - surgery</topic><topic>Development and progression</topic><topic>Diagnosis</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>High-Throughput Nucleotide Sequencing - methods</topic><topic>Humans</topic><topic>Lymph Nodes - pathology</topic><topic>Lymph Nodes - surgery</topic><topic>Lymphatic Metastasis</topic><topic>Metastasis</topic><topic>Neoplasm Grading</topic><topic>Neoplasm Staging</topic><topic>Oncology, Experimental</topic><topic>Physiological aspects</topic><topic>Prognosis</topic><topic>Risk factors</topic><topic>RNA</topic><topic>RNA sequencing</topic><topic>Sentinel Lymph Node Biopsy</topic><topic>Sequence Analysis, RNA - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liang, Feng</creatorcontrib><creatorcontrib>Qu, Hongzhu</creatorcontrib><creatorcontrib>Lin, Qiang</creatorcontrib><creatorcontrib>Yang, Yadong</creatorcontrib><creatorcontrib>Ruan, Xiuyan</creatorcontrib><creatorcontrib>Zhang, Bo</creatorcontrib><creatorcontrib>Liu, Yi</creatorcontrib><creatorcontrib>Yu, Chengze</creatorcontrib><creatorcontrib>Zhang, Hongyan</creatorcontrib><creatorcontrib>Fang, Xiangdong</creatorcontrib><creatorcontrib>Hao, Xiaopeng</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</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 Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biotechnology and BioEngineering Abstracts</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><jtitle>World journal of surgical oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liang, Feng</au><au>Qu, Hongzhu</au><au>Lin, Qiang</au><au>Yang, Yadong</au><au>Ruan, Xiuyan</au><au>Zhang, Bo</au><au>Liu, Yi</au><au>Yu, Chengze</au><au>Zhang, Hongyan</au><au>Fang, Xiangdong</au><au>Hao, Xiaopeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes</atitle><jtitle>World journal of surgical oncology</jtitle><addtitle>World J Surg Oncol</addtitle><date>2015-08-28</date><risdate>2015</risdate><volume>13</volume><issue>1</issue><spage>258</spage><epage>258</epage><pages>258-258</pages><artnum>258</artnum><issn>1477-7819</issn><eissn>1477-7819</eissn><abstract>Non-sentinel lymph node (NSLN) status prediction with molecular biomarkers may make some sentinel lymph node (SLN) positive breast cancer patients avoid the axillary lymph node dissection, but the available markers remain limited.
SLN positive patients with and without NSLN invasion were selected, and genes differentially expressed or fused in SLN metastasis were screened by next-generation RNA sequencing.
Six candidates (all ER/PR+, HER2-, Ki-67 <20%) with metastatic SLNs selected from 305 patients were equally categorized as NSLN negative and positive. We identified 103 specifically expressed genes in the NSLN negative group and 47 in the NSLN positive group. Among them, FABP1 (negative group) and CYP2A13 (positive group) were the only 2 protein-encoding genes with expression levels in the 8th to 10th deciles. Using a false discovery rate threshold of <0.05, 62 up-regulated genes and 98 down-regulated genes were discovered in the NSLN positive group. Furthermore, 10 gene fusions were identified in this group with the most frequently fused gene being IGLL5.
The biomarkers screened in present study may broaden our understanding of the mechanisms of breast cancer metastasis to the lymph nodes and contribute to the axillary surgery selection for SLN positive patients.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26311227</pmid><doi>10.1186/s12957-015-0642-2</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; SpringerLink Journals - AutoHoldings; PubMed Central Open Access; Springer Nature OA Free Journals |
| subjects | Biological markers Biomarkers, Tumor - genetics Breast cancer Breast Neoplasms - genetics Breast Neoplasms - pathology Breast Neoplasms - surgery Cancer Cancer patients Carcinoma, Ductal, Breast - genetics Carcinoma, Ductal, Breast - secondary Carcinoma, Ductal, Breast - surgery Development and progression Diagnosis Female Follow-Up Studies Genes Genetic aspects High-Throughput Nucleotide Sequencing - methods Humans Lymph Nodes - pathology Lymph Nodes - surgery Lymphatic Metastasis Metastasis Neoplasm Grading Neoplasm Staging Oncology, Experimental Physiological aspects Prognosis Risk factors RNA RNA sequencing Sentinel Lymph Node Biopsy Sequence Analysis, RNA - methods |
| title | Molecular biomarkers screened by next-generation RNA sequencing for non-sentinel lymph node status prediction in breast cancer patients with metastatic sentinel lymph nodes |
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