{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T16:25:16Z","timestamp":1774542316777,"version":"3.50.1"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:00:00Z","timestamp":1633910400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T00:00:00Z","timestamp":1633910400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ir J Med Sci"],"published-print":{"date-parts":[[2022,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Objective<\/jats:title>\n                <jats:p>We aimed to investigate the relationship among epidermal growth factor\u2013like protein-7 (EGFL7), integrin subunit beta 3 (ITGB3), and Kruppel-like factor 2 (KLF2) expressions and their clinical implication in multiple myeloma (MM).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>This prospective study enrolled 72 de novo symptomatic MM patients and 30 controls, and then collected their bone marrow plasma cell samples. Subsequently, the EGFL7, ITGB3, and KLF2 expressions were carried out by reverse transcription quantitative polymerase chain reaction.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>EGFL7, ITGB3, and KLF2 expressions were increased in MM patients compared to controls. Besides, EGFL7, ITGB3, and KLF2 inter-correlated with each other in MM patients but not in controls. In MM patients, EGFL7 and ITGB3 (but not KLF2) expressions were positively correlated with ISS stage, while ITGB3 and KLF2 (but not EGFL7) expressions were correlated with increased R-ISS stage. Interestingly, ITGB3 and KLF2 were decreased in induction-treatment complete remission (CR) MM patients compared to non-CR MM patients, while EGFL7 only showed a trend but without statistical significance. Furthermore, ITGB3 high expression was correlated with worse progression-free survival (PFS) and overall survival (OS), while EGFL7 and KLF2 high expressions only associated with pejorative PFS but not OS.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>EGFL7, ITGB3, and KLF2 may serve as potential prognostic indicators in MM patients.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11845-021-02781-2","type":"journal-article","created":{"date-parts":[[2021,10,12]],"date-time":"2021-10-12T00:01:53Z","timestamp":1633996913000},"page":"1995-2001","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Relation among EGFL7, ITGB3, and KLF2 and their clinical implication in multiple myeloma patients: a prospective study"],"prefix":"10.1007","volume":"191","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2151-6618","authenticated-orcid":false,"given":"Yaqiong","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lingli","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jichang","family":"Gong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,11]]},"reference":[{"key":"2781_CR1","doi-asserted-by":"publisher","first-page":"1513","DOI":"10.3389\/fonc.2019.01513","volume":"9","author":"S Wang","year":"2019","unstructured":"Wang S, Xu L, Feng J et al (2019) Prevalence and incidence of multiple myeloma in urban area in China: a national population-based analysis. 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