Identification of the microsatellite stability status and inhibitor of NF-kappa-B expression levels as biomarkers to predict sensitivity to pharmaceutical curcumin in colorectal cancer cells

Lili Lu

doi:10.18453/rosdok_id00003164

Lili Lu

Identification of the microsatellite stability status and inhibitor of NF-kappa-B expression levels as biomarkers to predict sensitivity to pharmaceutical curcumin in colorectal cancer cells

Universität Rostock, 2021

https://doi.org/10.18453/rosdok_id00003164

Abstract: The present study aimed at 1) testing the sensitivity of CRC cell lines with defined molecular alterations to curcumin; 2) mechanistically analyzing sensitive CRC cell lines in order to identify the mode-of-action; 3) identifying biomarkers associated with curcumin sensitivity; 4) establishing a predictive model using biomarkers to predict the sensitivity of additional CRC cell line to curcumin.

Dissertation Freier Zugang

Titel:

Identification of the microsatellite stability status and inhibitor of NF-kappa-B expression levels as biomarkers to predict sensitivity to pharmaceutical curcumin in colorectal cancer cells

Beteiligte Personen:

Lili Lu[VerfasserIn]
	0000-0001-6638-624X
	1241495157
Michael Linnebacher[AkademischeR BetreuerIn]
	0000-0001-8054-1402
	1028873808
	Molekulare Onkologie und Immuntherapie, Allgemeine Chirurgie, Universitätsmedizin Rostock
Robert Georg Ramer[AkademischeR BetreuerIn]
	129973092
Oliver H. Krämer[AkademischeR BetreuerIn]
	Institut für Toxikologie, Universitätsmedizin der Johannes-Gutenberg-Universität Mainz

Beteiligte Körperschaften:

Universität Rostock[Grad-verleihende Institution]
	38329-6
Universitätsmedizin Rostock[Grad-verleihende Institution]
	1029510660

Zusammenfassung:

The present study aimed at 1) testing the sensitivity of CRC cell lines with defined molecular alterations to curcumin; 2) mechanistically analyzing sensitive CRC cell lines in order to identify the mode-of-action; 3) identifying biomarkers associated with curcumin sensitivity; 4) establishing a predictive model using biomarkers to predict the sensitivity of additional CRC cell line to curcumin. [Englisch]

Dokumenttyp:

Dissertation

Einrichtung:

Universitätsmedizin

Sprache:

Englisch

Sachgruppe der DNB:

500 Naturwissenschaften

610 Medizin, Gesundheit

Veröffentlichung /
Entstehung:

Rostock: Universität Rostock

2021