Low oxygen levels in cells may be a primary cause of
uncontrollable tumor growth in some cancers, according to a new University of Georgia study. The authors’ findings run
counter to widely accepted beliefs that genetic mutations are responsible for
cancer growth.
If hypoxia, or low oxygen levels in cells, is proven to be a
key driver of certain types of cancer, treatment plans for curing the malignant
growth could change in significant ways, said Ying Xu, Regents-Georgia Research
Alliance Eminent Scholar and professor of bioinformatics and computational
biology in the Franklin College of Arts and Sciences.
The research team analyzed samples of messenger RNA
data—also called transcriptomic data—from seven different cancer types in a
publicly available database. They found that long-term lack of oxygen in cells
may be a key driver of cancer growth. The study was published in the early
online edition of the Journal of Molecular Cell Biology.
Previous studies have linked low oxygen levels in cells as a
contributing factor in cancer development, but not as the driving force for
cancer growth. High incidence rates of cancer around the world cannot be
explained by chance genetic mutations alone, Xu said. He added that bioinformatics,
which melds biology and computational science, has allowed researchers to see
cancer in a new light. Gene-level mutations may give cancer cells a competitive
edge over healthy cells, but the proposed new cancer growth model does not
require the presence of common malfunctions such as a sudden proliferation of
oncogenes, precursors to cancer cells.
“Cancer drugs try to get to the root—at the molecular
level—of a particular mutation, but the cancer often bypasses it,” Xu
said. “So we think that possibly genetic mutations may not be the main
driver of cancer.”
Much of cancer research so far has focused on designing drug
treatments that counteract genetic mutations associated with a particular type
of cancer. In their study, the researchers analyzed data downloaded from the
Stanford Microarray Database via a software program to detect abnormal gene
expression patterns in seven cancers: breast, kidney, liver, lung, ovary,
pancreatic and stomach. The online database allows scientists to examine information
from microarray chips, which are small glass slides containing large amounts of
gene material.
Xu relied on the gene HIF1A as a biomarker of the amount of
molecular oxygen in a cell. All seven cancers showed increasing amounts of
HIF1A, indicating decreasing oxygen levels in the cancer cells.
Low oxygen levels in a cell interrupt the activity of
oxidative phosphorylation, a term for the highly efficient way that cells
normally use to convert food to energy. As oxygen decreases, the cells switch
to glycolysis to produce their energy units, called ATP. Glycolysis is a
drastically less efficient way to obtain energy, and so the cancer cells must
work even harder to obtain even more food, specifically glucose, to survive.
When oxygen levels dip dangerously low, angiogenesis, or the process of
creating new blood vessels, begins. The new blood vessels provide fresh oxygen,
thus improving oxygen levels in the cell and tumor and slowing the cancer
growth—but only temporarily.
“When a cancer cell gets more food, it grows; this
makes the tumor biomass bigger and even more hypoxic. In turn, the
energy-conversion efficiency goes further down, making the cells even more
hungry and triggering the cells to get more food from blood circulation,
creating a vicious cycle. This could be a key driver of cancer,” Xu said.
Xu explained that this new cancer-growth model could help
explain why many cancers become drug resistant so quickly—often within three to
six months. He stressed the importance of testing the new model through future
experimental cancer research. If the model holds, researchers will need to
search for methods to prevent hypoxia in cells in the first place, which could
result in a sea change in cancer treatment.