Caigui Lin1, Zhiliang Wei2, Jiyang Dong 1, and Zhong Chen1
1Department of Electronic Science, Xiamen University, Xiamen, China, 2Johns Hopkins University School of Medicine, Baltimore, MD, United States
Synopsis
Hepatocellular carcinoma (HCC) is a subtype of liver
cancer with high worldwide prevalence and mortality. Its high recurrence rate
and heterogeneity have challenged effectiveness of existing therapies. Numerous
researchers explore the multifaceted benefits of Vitamin C (VC) in cancer
treatments. In this study, we utilized the NMR-based metabolomics approach to
systematically surrogate the molecular basis underlying the anticancer property
of VC in HCC cell. Moreover, combination of VC with chemotherapeutic agent was
tried to investigate synergetic effects in modulating metabolic profiles of
cancer cells. Our results help to reveal the molecular basis of HCC treatment
and may facilitate future clinical therapy designs.
Purpose
Liver cancer is a kind of cancer possessing the third highest
mortality worldwide. Particularly, hepatocellular carcinoma (HCC) accounts for
the most (70% to 90%) prevalent liver cancers occurring over the world. Characterized
by a high recurrence rate and heterogeneity, HCC leads to more than 1 million fatalities
annually due to the lack of suitable systemic therapy. Numerous researchers’
ongoing concern is to seek for novel therapeutic modalities towards improved
antitumor drugs for advanced or recurrent HCC. As an important natural
antioxidant, Vitamin C (VC) is associated with multifaceted benefits to human
health. A number of reports have revealed the anticancer potential of high-dose
VC. Moreover, broad in vitro and in vivo proofs validate the existence of
synergistic effects between VC and other chemotherapeutic agents to benefit
cancer treatments. The anticancer property of VC sheds light on the HCC
treatment. Pharmacologic VC has been tested on the human HCC cell lines as well
as HCC patient-derived xenograft (PDX) models, however, the metabolic basis
underlying the anticancer property of VC on HCC remains to be elucidated. Therefore,
in this study, we use high-resolution proton nuclear magnetic resonance (1H
NMR) -based metabolomics to assess the global metabolic changes in HCC cells induced
by VC in combination with oxaliplatin (OXA, chemotherapeutic agent).Methods
Human HCC SMMC-7721 cells were cultured in Dulbecco’s
modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum at 37°C
and 5% CO2. When reached 25% confluency, the cells were randomly divided into
four groups for different drug manipulations: treatment with 50 μmol/L
oxaliplatin (OXA group, n=10), treatment with 1 mmol/L VC (VC group, n=10),
treatment with 50 μmol/L oxaliplatin in combination with 1 mmol/L V C (OXA+VC
group, n=10), and without treatment as the standard model control (SM group,
n=10). Treatments were administered once for all. Following 48 h incubation, cells
were harvested and prepared for NMR experiments. The obtained 1H-NMR
spectra datasets were preprocessed and interpreted with multivariate
statistical analysis, including principle component analysis (PCA), orthogonal projections
to latent structures discriminant analysis (OPLS-DA), Student’s t-test, and metabolite
set enrichment analysis (MSEA) to investigate metabolic perturbations in HCC
cells after exposure to different treatments. For cell proliferation assay, Cell
Counting Kit-8 (CCK-8) assay were also conducted for different groups (OXA, VC,
OXA+VC, and SM groups).Results and Discussion
As the CCK-8 assay result shows (Figure1), reductions
of proliferation rate in OXA, VC, and OXA+VA groups were observed in comparison
with the SM group. Generally, OXA, VC, or OXA+VC treatment can decrease cell
proliferation and induce cell death in a time- and drug-dependent manner.
Longer treatment duration leads to more prominent inhibition in cell growth. By
constrast, OXA+VC treatment possesses the highest treatment efficacy and VC the
lowest.
Moreover, the pair-wise OPLS-DA between OXA and SM,
between VC and SM, between OXA+VC and SM, between OXA+VC and OXA, and between
OXA+VC and VC revealed distinguished group segregations and showed elegant
coefficient of determination (R2) as well as good prediction
accuracy (Q2) (left and middle panels in Figure 2, respectively). A
total of 27 metabolites (a union set of characteristic metabolites from
different comparisons) which have primary contributions to group separations were
found to be with significant change (p
< 0.01) among the four groups (right panel in Figure 2). In comparison with
the SM group, most metabolite concentrations in the OXA group have increased;
an opposite change has been noticed in the VC group. The OXA and VC group share
various common characteristic metabolites with different variation trends. Otherwise,
the OXA+VC group exhibits a combination of metabolite change from both OXA and
VC groups.
Metabolic pathways with significant variations induced
by OXA and VC treatment were revealed by MESA. Figure 3 shows the heat map of
clustering analyses on the importance levels of metabolic pathways with
significant variations. This heat map provides an additional proof for the
conclusion that OXA, VC, and OXA+VC are associated with different mechanism to
induce metabolic variations to cells.
Conclusion
According to the NMR-based metabolism analyses, we
speculate that OXA and VC are characterized with different mechanisms to
modulate the metabolic profile of SMMC-7721 cells. OXA and VC works in unison to
induce complementary metabolic modulations, thus resulting in favorable
synergistic effects.Acknowledgements
This work was financially supported by the the National Natural Science Foundation of China (No. 81371639). We thank all the members for helpful discussions.References
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