Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Siiri, Reinikka"'
Autor:
Susanna Nousiainen, Outi Kuismin, Siiri Reinikka, Roosa Manninen, Sara Khamaiseh, Mari Kuivalainen, Anna Terho, Sari Koivurova, Maarit Niinimäki, Kari Salokas, Markku Varjosalo, Anne Ahtikoski, Ralf Bützow, Outi Lindgren, Outi Uimari, Pia Vahteristo
Publikováno v:
Human Genomics, Vol 17, Iss 1, Pp 1-10 (2023)
Abstract Background Endometriosis is a common, chronic disease among fertile-aged women. Disease course may be highly invasive, requiring extensive surgery. The etiology of endometriosis remains elusive, though a high level of heritability is well es
Externí odkaz:
https://doaj.org/article/6dacf57f4e0f49a8840d6d3a6215fa94
Autor:
Miika Mehine, Terhi Ahvenainen, Sara Khamaiseh, Jouni Härkönen, Siiri Reinikka, Tuomas Heikkinen, Anna Äyräväinen, Päivi Pakarinen, Päivi Härkki, Annukka Pasanen, Anna-Liisa Levonen, Ralf Bützow, Pia Vahteristo
Publikováno v:
Oncogenesis, Vol 11, Iss 1, Pp 1-10 (2022)
Abstract Uterine leiomyomas, or fibroids, are the most common tumors in women of reproductive age. Uterine leiomyomas can be classified into at least three main molecular subtypes according to mutations affecting MED12, HMGA2, or FH. FH-deficient lei
Externí odkaz:
https://doaj.org/article/199d3f3126b54a4fbad0c263ac974ff4
Autor:
Vilja Jokinen, Miika Mehine, Siiri Reinikka, Sara Khamaiseh, Terhi Ahvenainen, Anna Äyräväinen, Päivi Härkki, Ralf Bützow, Annukka Pasanen, Pia Vahteristo
Publikováno v:
Genes, Chromosomes and Cancer. 62:27-38
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0d596c13d754b496d2f75eb89d34290
https://doi.org/10.1002/gcc.23088
https://doi.org/10.1002/gcc.23088
Autor:
Vilja, Jokinen, Miika, Mehine, Siiri, Reinikka, Sara, Khamaiseh, Terhi, Ahvenainen, Anna, Äyräväinen, Päivi, Härkki, Ralf, Bützow, Annukka, Pasanen, Pia, Vahteristo
Publikováno v:
Genes, chromosomescancerREFERENCES. 62(1)
Uterine leiomyomas, or fibroids, are very common smooth muscle tumors that arise from the myometrium. They can be divided into distinct molecular subtypes. We have previously shown that 3'RNA-sequencing is highly effective in classifying archival for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d9b3f8c305d6ae308b064f2ac1d79306
https://pubmed.ncbi.nlm.nih.gov/35822448
https://pubmed.ncbi.nlm.nih.gov/35822448