Emily Wang, Abbey Michaelson, Emma Johnson, and Colin O'Malley
Many cancers adapt to become multidrug-resistant (MDR), posing significant challenges in treatment design
Multidrug resistance (MDR) in cancer occurs through a variety of mechanisms including elevated drug efflux, reduced drug influx and changes in metabolism1
In response to external chemical cues cancer cells undergo metabolic plasticity, a factor that contributes to the development of the MDR phenotype2
One notable example of metabolic plasticity is the Warburg Effect
It is unclear how the cancer cells are taking in our prodrugs
If sugar transporters—e.g. glucose transporters (GLUTs)—are overexpressed in MDR cancers, we can tailor the prodrug’s sugar group to that transporter = optimize for ↑influx
Efflux pumps, such as P-glycoprotein (P-gp), are often overexpressed in MDR cancers and work to expel chemotherapeutics out of the cell3
Cancer cells favor glycolysis over oxidative phosphorylation4
Many cancer cells overexpress various GLUT isoforms
GLUTs are associated with glucose uptake, increase in GLUT expression may lead to an increase in glucose uptake5
Although multidrug resistant cells are well studied, there are no studies characterizing an entire chemoresistant gradient
Here, we characterize melanoma cells as they acquire resistance to doxorubicin (DOX), focusing on changes in GLUTs and glucose metabolism (Figure 2)
MDR Development
The murine melanoma B16-F10-Luc2 (B16) cell line was used as the in vitro cancer model
Concentration of DOX was doubled at each stable passage, from 1 nM to 1 μM
Cell Viability
B16 cells across 0-1000 nM resistance levels were grown in PBS or 5 μM DOX for 72 h to test resistance capacity. Resazurin assay was used to measure cell viability (Figure 4)
Western Blot
Cell lysates were extracted from B16 cells at various resistance levels and analyzed for GLUT1–4 and P-gp protein expression (Figure 5)
Glucose Uptake
Parent and 1 μM-resistant B16 were glucose-starved and fed varying concentrations of 2-NBDG to track glucose uptake. Fluorescence was measured by flow cytometry (Figures 8 and 10)
CSFE
Parent and 1 μM-resistant B16 were cultured in a 6-well plate with and without DOX and with and without CFSE. After 48 hours of incubation, samples were analyzed with a flow cytometer.
Luciferin
Parent and 1 μM-resistant B16 were treated with a 1 mg/mL Luciferin solution. After a 15-minute incubation, samples were analyzed with a flow cytometer (Figure 9)
Figure 1.
B16 phenotype changes in MDR
Parent cells appear spindle-shaped while MDR cells show differences in shape and color.
Figure 2.
Cell viability of B16 samples -/+ 5 μM DOX
Viability measured by Resazurin assay.
*P < 0.05; **P < 0.005
MDR cells show higher viability than parent cells.
Figure 3.
Western blot detection of P-gp/GLUT
(A) Without insulin
(B) With insulin for 3 or 24 h (to test effects on GLUT4)
P-gp expression appears to increase with an increase in MDR development. GLUT4 expression high in 1 uM resistant cells.
Figure 4.
Glucose uptake using 2-NBDG and flow cytometry
Figure 5.
CSFE done on B16 cells with both Dox and dye
Increased fluorescence with 1 μM resistance, DOX treatment, and CFSE dye. No generations observed.
Figure 6.
Luciferin was done on B16 parent cells and 1 uM MDR cells
No apparent change in Luciferin expression is observed between the parent and MDR cells.
Figure 7.
Glucose uptake using 2-NBDG and flow cytometry
Potential difference in glucose uptake between parent cells and MDR after being fed 8 g/L glucose media.
High expression of GLUT4 in 1 uM resistant cells
In vitro dye concentrations change with cell type and resistance level
No apparent change in luciferin expression between parent and MDR cells
Potential differences in glucose uptake between parent and MDR cells after being fed 8 g/L media
Repeat the glucose uptake assay on the entire gradient
Modify the CFSE protocol
Glycolysis/respiration assays
In vivo studies
Emran, T. B., Shahriar, A., Mahmud, A. R., Rahman, T., Abir, M. H., Siddiquee, Mohd. F., Ahmed, H., Rahman, N., Nainu, F., Wahyudin, E., Mitra, S., Dhama, K., Habiballah, M. M., Haque, S., Islam, A., & Hassan, M. M. (2022). Multidrug resistance in cancer: Understanding molecular mechanisms, immunoprevention and therapeutic approaches. Frontiers in Oncology, 12. https://doi.org/10.3389/fonc.2022.891652
2. Bhat, G. R., Sethi, I., Sadida, H. Q., Rah, B., Mir, R., Algehainy, N., Albalawi, I. A., Masoodi, T., Subbaraj, G. K., Jamal, F., Singh, M., Kumar, R., Macha, M. A., Uddin, S., Akil, A. S., Haris, M., & Bhat, A. A. (2024). Cancer cell plasticity: From cellular, molecular, and genetic mechanisms to tumor heterogeneity and drug resistance. Cancer and Metastasis Reviews, 43(1), 197–228. https://doi.org/10.1007/s10555-024-10172-z
3. Gottesman, M. M., & Pastan, I. H. (2015). The role of multidrug resistance efflux pumps in cancer: Revisiting a JNCI publication exploring expression of the MDR1 (P-glycoprotein) gene. Journal of the National Cancer Institute, 107(9). https://doi.org/10.1093/jnci/djv222
4. Liberti, M. V., & Locasale, J. W. (2016). The Warburg effect: How does it benefit cancer cells? Trends in Biochemical Sciences, 41(3), 211–218. https://doi.org/10.1016/j.tibs.2015.12.001
5. Wang, T., Wang, J., Hu, X., Huang, X., & Chen, G.-X. (2020). Current understanding of glucose transporter 4 expression and functional mechanisms. World Journal of Biological Chemistry, 11(3), 76–98. https://doi.org/10.4331/wjbc.v11.i3.76
Career and Self-Development
Voluntarily participating in research with the Chemistry Department.
Communication
Demonstrating verbal and written abilities, communicating within a team for cell culture needs.
Teamwork
Building strong relationships with labmates throughout the semester while working together.
Technology
Navigating new technology for data display and analysis.