New 3-D Model May Accelerate Breakthroughs in Lung Cancer ResearchTreatment & Doctors
Asbestos.com is the nation’s most trusted mesothelioma resource
The Mesothelioma Center at Asbestos.com has provided patients and their loved ones the most updated and reliable information on mesothelioma and asbestos exposure since 2006.
Our team of Patient Advocates includes a medical doctor, a registered nurse, health services administrators, veterans, VA-accredited Claims Agents, an oncology patient navigator and hospice care expert. Their combined expertise means we help any mesothelioma patient or loved one through every step of their cancer journey.
More than 30 contributors, including mesothelioma doctors, survivors, health care professionals and other experts, have peer-reviewed our website and written unique research-driven articles to ensure you get the highest-quality medical and health information.
About The Mesothelioma Center at Asbestos.com
- Assisting mesothelioma patients and their loved ones since 2006.
- Helps more than 50% of mesothelioma patients diagnosed annually in the U.S.
- A+ rating from the Better Business Bureau.
- 5-star reviewed mesothelioma and support organization.
"My family has only the highest compliment for the assistance and support that we received from The Mesothelioma Center. This is a staff of compassionate and knowledgeable individuals who respect what your family is experiencing and who go the extra mile to make an unfortunate diagnosis less stressful. Information and assistance were provided by The Mesothelioma Center at no cost to our family."LashawnMesothelioma patient’s daughter
How to Cite Asbestos.com’s Article
Rosenberg, J. (2020, October 16). New 3-D Model May Accelerate Breakthroughs in Lung Cancer Research. Asbestos.com. Retrieved February 5, 2023, from https://www.asbestos.com/news/2012/10/25/3-d-lung-cancer-mode/
Rosenberg, Joey. "New 3-D Model May Accelerate Breakthroughs in Lung Cancer Research." Asbestos.com, 16 Oct 2020, https://www.asbestos.com/news/2012/10/25/3-d-lung-cancer-mode/.
Rosenberg, Joey. "New 3-D Model May Accelerate Breakthroughs in Lung Cancer Research." Asbestos.com. Last modified October 16, 2020. https://www.asbestos.com/news/2012/10/25/3-d-lung-cancer-mode/.
A newly developed research model allows scientists to cultivate lung cancer cells in three dimensions – which may lead to a deeper understanding of the disease’s development and behavior in patients.
Currently, researchers use a flat, 2-D flask to grow lung cancer samples and study patterns in the disease’s growth. But the new 3-D model, created by researchers at The Methodist Hospital and the University of Texas MD Anderson Cancer Center, offers a more accurate representation of the complex biological processes occurring within a lung cancer patient’s body.
Early tests of the 3-D model were recently published in the scientific journal PLOS One.
“New models for lung cancer research are crucial because current models frequently do not correlate with the findings of human trials,” explains Min Kim, M.D., the study’s principal investigator. “The challenge is creating a model that can accurately predict what will happen in patients with lung cancer.”
Initial findings show that the new modeling technique may do just that.
Using a natural matrix derived from the lung cells of rats, the Methodist-MD Anderson model serves as a miniature replica of the lungs. When human lung cancer is introduced, cells that stick to the matrix are nourished with an oxygenated, nutrient-rich broth that flows through the lung space. Over time, the matrix sprouts organized tumor nodules that mimic the structure and function of real lung cancer.
“We found that the 3-D model we devised worked in most respects much better than 2-D models currently being used in lung cancer research,” Kim adds.
Limitations of Previous Models
While 2-D models have significantly improved our understanding of how lung cancer tumors form and spread, they cannot reveal the complex interactions that take place between cancer cells and their microenvironment. Researchers have also investigated animal models, but the results don’t always correlate with the findings of human clinical trials.
Unlike the 3-D lung model, earlier techniques failed to recreate lung cancer growth and metastasis as it actually occurs in patients. The 2-D models won’t support the development of tumor nodules, which are believed to play a key role in the growth and progression of lung cancer.
Furthermore, 2-D models produce an unnaturally high number of cancer cells, which grow indiscriminately until no space remains. The Methodist-MD Anderson model provides more realistic features and growth patterns, including complex vasculature that transports nutrients and cells to the tumor site. In the study’s comparison of the two techniques, the 2-D model did not produce MMPs, a family of enzymes that plays a crucial role in human lung cancer development.
MMPs destroy important structural components of healthy tissue, which leads to tumor cell invasion and distant cancer spread. In lung cancer patients, elevated levels of MMP-9 in the blood are associated with poor survival. MMPs and other genetic molecules that control the development and progression of lung cancer, such as caspase-3 and ki-67, were observed in the new Methodist-MD Anderson model.
Impact on Future Research
Looking forward, this new technique shows great potential for advancing lung cancer research.
Historically, animal and 2-D research models have provided only meager improvements to lung cancer survival. The five-year survival rate for lung cancer was 13 percent in 1975, and increased to just 16 percent by 2005, the most recent year that offers reliable data.
“The lack of progress in finding effective treatments for lung cancer may be due, in part, to the lack of an accurate model that mimics the biological processes that occur in patients with lung cancer,” says Dhruva Mishra, Ph.D., one of the study’s co-authors.
With such promising results from early studies of the new model, it is likely that further research with the technique will provide greater insight into the puzzling biological mechanisms behind lung cancer growth and metastasis.