000169883 001__ 169883
000169883 005__ 20240229133659.0
000169883 0247_ $$2doi$$a10.1016/j.jaad.2021.07.011
000169883 0247_ $$2pmid$$apmid:34280484
000169883 0247_ $$2ISSN$$a0190-9622
000169883 0247_ $$2ISSN$$a1097-6787
000169883 0247_ $$2altmetric$$aaltmetric:110001965
000169883 037__ $$aDKFZ-2021-01617
000169883 041__ $$aEnglish
000169883 082__ $$a610
000169883 1001_ $$aGaudy-Marqueste, Caroline$$b0
000169883 245__ $$aMolecular characterization of fast-growing melanomas.
000169883 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2022
000169883 3367_ $$2DRIVER$$aarticle
000169883 3367_ $$2DataCite$$aOutput Types/Journal article
000169883 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1643978664_5756
000169883 3367_ $$2BibTeX$$aARTICLE
000169883 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000169883 3367_ $$00$$2EndNote$$aJournal Article
000169883 500__ $$aVolume 86, Issue 2, February 2022, Pages 312-321
000169883 520__ $$aThe rate of growth of primary melanoma is a robust predictor of aggressiveness, but the mutational profile of fast-growing melanomas (FGMM), and its potential to stratify patients at high risk of death, has not been comprehensively studied.To investigate the epidemiological, clinical and mutational profile of primary cutaneous melanomas with a thickness ≥ 1mm, stratified by rate of growth (ROG).Observational prospective study. Deep-targeted sequencing of 40 melanoma driver genes on formalin fixed, paraffin embedded primary melanoma samples. Comparison of FGMM (ROG >0.5mm/month) and non-FGMM (ROG≤0.5 mm/month).Two hundred patients were enrolled among which 70 were FGMM. The relapse free survival was lower in the FGMM group (p=0.014). FGMM had a higher number of predicted deleterious mutations within the 40 genes than non-FGMM (p=0.033). Ulceration (p=0.032), thickness (p=0.006), lower sun exposure (p=0.049), and FGFR2 mutations (p=0.037) were significantly associated with fast growth.Single-center study, cohort size, potential memory bias, number of investigated genes.Fast growth is linked to specific tumor biology and environmental factors. Ulceration, thickness and FGFR2 mutations associate with fast growth. Screening for FGFR2 mutations might provide an additional tool to better identify FGMM which are probably good candidates for adjuvant therapies.
000169883 536__ $$0G:(DE-HGF)POF4-312$$a312 - Funktionelle und strukturelle Genomforschung (POF4-312)$$cPOF4-312$$fPOF IV$$x0
000169883 588__ $$aDataset connected to CrossRef, PubMed, , Journals: inrepo01.inet.dkfz-heidelberg.de
000169883 650_7 $$2Other$$aFGFR2 mutations
000169883 650_7 $$2Other$$aMelanoma
000169883 650_7 $$2Other$$afast growth melanoma
000169883 650_7 $$2Other$$amutations of poor prognosis
000169883 7001_ $$aMacagno, Nicolas$$b1
000169883 7001_ $$aLoundou, Anderson$$b2
000169883 7001_ $$aPellegrino, Eric$$b3
000169883 7001_ $$aOuafik, L'houcine$$b4
000169883 7001_ $$aBudden, Timothy$$b5
000169883 7001_ $$aMundra, Piyushkumar$$b6
000169883 7001_ $$aGremel, Gabriela$$b7
000169883 7001_ $$aAkhras, Victoria$$b8
000169883 7001_ $$aLin, Lijing$$b9
000169883 7001_ $$aCook, Martin$$b10
000169883 7001_ $$0P:(DE-He78)9a9af43c15771eaf3b2db8bb28a2829d$$aKumar, Rajiv$$b11$$udkfz
000169883 7001_ $$aGrob, Jean-Jacques$$b12
000169883 7001_ $$aNagore, Eduardo$$b13
000169883 7001_ $$aMarais, Richard$$b14
000169883 7001_ $$aVirós, Amaya$$b15
000169883 773__ $$0PERI:(DE-600)2001404-1$$a10.1016/j.jaad.2021.07.011$$gp. S0190962221021010$$n2$$p312-321$$tJournal of the American Academy of Dermatology$$v86$$x0190-9622$$y2022
000169883 909CO $$ooai:inrepo02.dkfz.de:169883$$pVDB
000169883 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)9a9af43c15771eaf3b2db8bb28a2829d$$aDeutsches Krebsforschungszentrum$$b11$$kDKFZ
000169883 9131_ $$0G:(DE-HGF)POF4-312$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vFunktionelle und strukturelle Genomforschung$$x0
000169883 9130_ $$0G:(DE-HGF)POF3-312$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vFunctional and structural genomics$$x0
000169883 9141_ $$y2021
000169883 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-02
000169883 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-02
000169883 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2022-11-16$$wger
000169883 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-16
000169883 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-16
000169883 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-16
000169883 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-16
000169883 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2022-11-16
000169883 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2022-11-16
000169883 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ AM ACAD DERMATOL : 2021$$d2022-11-16
000169883 915__ $$0StatID:(DE-HGF)9915$$2StatID$$aIF >= 15$$bJ AM ACAD DERMATOL : 2021$$d2022-11-16
000169883 9201_ $$0I:(DE-He78)B070-20160331$$kB070$$lB070 Funktionelle Genomanalyse$$x0
000169883 980__ $$ajournal
000169883 980__ $$aVDB
000169883 980__ $$aI:(DE-He78)B070-20160331
000169883 980__ $$aUNRESTRICTED