The potential anticancer effects of Goniothalamus lanceolatus extracts in inducing apoptosis in breast cancer (MCF-7) and ovarian cancer (PEO1 AND PEO4) cell lines / Nasibah Razali

Razali, Nasibah (2021) The potential anticancer effects of Goniothalamus lanceolatus extracts in inducing apoptosis in breast cancer (MCF-7) and ovarian cancer (PEO1 AND PEO4) cell lines / Nasibah Razali. Masters thesis, Universiti Teknologi MARA.

Abstract

Goniothalamus lanceolatus (GL) also known locally as “Getimang” is an indigenous plant in Sarawak commonly used as herbal extract to treat fever, skin infections and food poisoning. Previous studies showed the genus possessed anticancer properties towards several cancer cell lines. In Malaysia, breast and ovarian cancers are common cancers in women. The failure of patients to respond towards chemotherapy drugs with severe side effects has been a major problem in the recent years. The objective of the present research was to determine the potential anticancer effect of GL extracts on antiproliferative and apoptosis activities in breast cancer (MCF-7) and ovarian cancer (PEO1 and PEO4) cell lines. GL extracts from bark, leaves and roots were dissolved in dichloromethane (DCM), hexane and methanol. The cytotoxicity of GL extracts against MCF-7, PEO1 and PEO4 cancer cell lines after 24 h was assessed by MTT assay. GL-treated cell migration rates for 0 h, 16 h, 24 h, 48 h and 72 h were performed by scratch assay. Apoptosis activity was assessed using Annexin V/PI staining assay analysis through flow cytometry. Bax/Bcl-2 apoptotic protein expression was analyzed by western blot. MTT assay revealed that GL can significantly reduce the viability of these cells at the lowest IC50 concentration of bark in DCM (GLBD) extract for MCF-7 cell line (23.89 ± 0.16 μg/ml), root in methanol (GLRM) extract for PEO1 cell line (31.40 ± 0.77 μg/ml) and leaves in DCM (GLLD) extract for PEO4 cell line (22.02 ± 0.52 μg/ml) in a concentration-dependent manner. These extracts were then selected for further study. Selected GL extracts at IC20, IC50 and IC80 concentration suppressed the ability of the breast and ovarian cancer cell lines to migrate upon 72 h of treatment compared to untreated cells. Flow cytometric analysis showed GL induced cancer cell lines to undergo early and late apoptosis as the concentration increased. In addition, apoptotic processes were intensified with the increase of treatment duration to 48 h. GL-induced apoptosis was followed by the upregulation of Bax protein and downregulation of Bcl-2 protein in the MCF-7 breast cancer cell line. However, Bax and Bcl-2 were not expressed in both ovarian cancer cell lines. The data suggested the regulation of Bax/Bcl-2 was not crucial in PEO1 and PEO4 cell lines. Overall, the findings showed the promising activities of GL extracts in inhibiting cell viability, cell migration together with apoptotic cell death induction in breast cancer and ovarian cancer cell lines. Therefore, the data proposed that GL has the potential to be developed as an alternative chemotherapeutic agent in breast and ovarian cancer. However, further in-vivo and clinical studies are still needed to clarify the mechanism involved.

Metadata

Item Type: Thesis (Masters)
Creators:
Creators
Email / ID Num.
Razali, Nasibah
2014195253
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mohd Yusof, Farida Zuraina (Prof. Dr.)
UNSPECIFIED
Subjects: R Medicine > RC Internal Medicine > Cancer
R Medicine > RM Therapeutics. Pharmacology > Drugs and their actions > Individual drugs and other agents > Herbs. Herbal teas
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Programme: Master of Science (Applied Biology)
Keywords: Breast cancer; ovarian cancer; plants; medicinal benefit
Date: September 2021
URI: https://ir.uitm.edu.my/id/eprint/60456
Edit Item
Edit Item

Download

[thumbnail of 60456.pdf] Text
60456.pdf

Download (369kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

60456

Indexing

Statistic

Statistic details