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Cervicovaginal metabolome and tumor characteristics for endometrial cancer detection and risk stratification.

Georgia M LorentzenPaweł ŁaniewskiHaiyan CuiNichole D MahnertJamal MouradMatthew P BorstLyndsay WillmottDana M ChaseDenise J RoeMelissa M Herbst-Kralovetz
Published in: Clinical cancer research : an official journal of the American Association for Cancer Research (2024)
Our findings provide insights into understanding the endometrial cancer metabolic landscape and improvement into diagnosis. The metabolic dysregulation described in this paper linked specific metabolites and pathophysiological mechanisms including cellular proliferation, energy supply, and invasion of neighbouring tissues. Furthermore, cervicovaginal metabolite levels related to tumor characteristics, which are used for risk stratification. Overall, development of non-invasive diagnostic can improve both the acceptability and accessibility of diagnosis.
Keyphrases
  • endometrial cancer
  • gene expression
  • signaling pathway
  • quantum dots