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Vimentin-positive invasive breast carcinoma of no special type: A breast carcinoma with lethal biological characteristics.

Yuki IchinoseTakahiro HasebeMasataka HirasakiAyaka SakakibaraHideki YokogawaAsami NukuiMiyuki HiratsukaAkihiro FujimotoChihiro IsoNoriko WakuiSatomi ShibasakiKoichi KamadaNobuyuki SuzukiYasuo KamakuraMasanori YasudaAsano AyaHiroko ShimadaKazuo MatsuuraHiroshi IshiguroAkihiko OsakiToshiaki Saeki
Published in: Pathology international (2023)
Vimentin is a stable mesenchymal immunohistochemical marker and is widely recognized as a major marker of mesenchymal tumors. The purpose of the present study was to investigate if the vimentin expression status might serve as a significant predictor of outcomes in patients with invasive breast carcinoma of no special type (IBC-NST) and to investigate, by comprehensive RNA sequencing analyses, the mechanisms involved in the heightened malignant potential of vimentin-positive IBC-NSTs. This study, conducted using the data of 855 patients with IBC-NST, clearly identified vimentin expression status as a very important independent biological parameter for accurately predicting the outcomes in patients with IBC-NST. RNA sequence analyses clearly demonstrated significant upregulation of coding RNAs known to be closely associated with cell proliferation or cellular senescence, and significant downregulation of coding RNAs known to be closely associated with transmembrane transport in vimentin-positive IBC-NSTs. We conclude that vimentin-positive IBC-NSTs show heightened malignant biological characteristics, possibly attributable to the upregulation of RNAs closely associated with proliferative activity and cellular senescence, and downregulation of RNAs closely associated with transmembrane transport in IBC-NSTs.
Keyphrases
  • cell proliferation
  • poor prognosis
  • signaling pathway
  • stem cells
  • bone marrow
  • dna damage
  • cell cycle
  • long non coding rna
  • binding protein
  • electronic health record
  • big data
  • skeletal muscle
  • risk assessment
  • data analysis