• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, September 24, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Cancer

Big-picture approach to understanding cancer will speed new treatments

Bioengineer by Bioengineer
October 18, 2018
in Cancer
Reading Time: 3 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram
IMAGE

Credit: Courtesy Park Lab

A new innovation in cancer research will enable scientists to understand the complex causes of the disease with unprecedented speed and sophistication. This will accelerate the development of new and better treatments, and it will help researchers find ways around roadblocks that now stand in their path.

Rather than looking at individual gene mutations in isolation, the new approach allows scientists to create models incorporating many mutations. Studying the mutations' collective effect will provide a much more complete picture of cancers' causes and allow scientists to better mimic human disease when working to develop new treatments. You might think of it like trying to understand the workings of a clock: Instead of looking at a single gear, scientists can now examine the larger mechanism.

"Our work provides proof-of-concept for new models in which we can test numerous genes and mutations simultaneously, sometimes one-by-one, sometimes combinations of the different mutations," said researcher Kwon-Sik Park, PhD, of the School of Medicine and the UVA Cancer Center. "Patients not only acquire different mutations but they acquire combinations, so you have to model really faithfully to understand what is happening."

Conquering Cancer Obstacles

One of the biggest obstacles for cancer researchers today is the sheer volume of variables at play when a healthy cell turns cancerous. This often makes it difficult for researchers to determine where to focus. "We can have hundreds of candidates," Park explained. "You want to know which one is really the driver, so we can prioritize for further study in developing therapy."

The new approach developed by Park, of UVA's Department of Microbiology, Immunology and Cancer Biology, and his colleagues will help with that. They have demonstrated the approach's potential by creating a model of small-cell lung cancer (SCLC), the most aggressive and fastest growing form of lung cancer.

In creating the model, the researchers used CRISPR – a gene editing system that has revolutionized genetic research in recent years – to mimic mutations often seen in patients with small cell lung cancer. The scientists wanted to see if the mutations collectively would cause pre-cancerous cells to become cancerous. And they did, even though the individual mutations, on their own, might not have.

The researchers were able to show that an important contributor to the development of the cancer was a common mutation in the CREBBP gene. The gene, in its non-mutated form, is thought to act as a tumor suppressor by turning on genes that attach lung neuroendocrine cells together and prevent uncontrolled growth. "Those particular cells become mutated by the carcinogens from smoke," Park explained. "When the cells acquire that part of the mutation, CREBBP mutation, they lose their interactions with the neighboring cells. Normally, this lost cell-cell contact would prompt cells to die through a process called programmed cell death or apoptosis. However, if the same cells acquire additional mutations in other critical tumor suppressor genes such as RB and P53, as is frequently the case in SCLC, then instead of dying, they survive and continue to expand."

The researchers were able to determine exactly what molecular changes are occurring within the cells as a result of the mutation. With follow-up studies of the information, the researcher at UVA hopes to provide critical insights into strategies for stopping the cancer's formation and spread. "By understanding how the disease actually arises and the key players in the disease," Park said, "we can design strategies for detection and prevention as well as treatment."

Putting UVA on the Map of SCLC Research

The researchers have published their findings in the scientific journal Cancer Discovery.

Park and David MacPherson at Fred Hutchinson Cancer Research Center in Seattle led the collaborative research team that includes Deshui Jia, Arnaud Augert, Dong-Wook Kim, Emily Eastwood, Nan Wu, Ali H. Ibrahim, Kee-Beom Kim, Colin T. Dunn, Smitha P.S. Pillai, Adi F. Gazdar and Hamid Bolouri.

The work of the Park lab at UVA was supported by the National Institutes of Health grants (R01CA194461 and R03CA215777), the American Cancer Society grant (RSG-15-066-01-TBG), the David R. Jones Fund, the UVA Department of Surgery and the UVA Cancer Center (P30CA044579).

The new findings and other unpublished results have helped the Park lab obtain a new NIH grant and become a full member of the NIH SCLC Consortium as one of 13 institutes nationwide that work cooperatively to understand the biology of the most aggressive lung cancer.

To keep up with the latest medical research news from UVA, subscribe to the Making of Medicine blog at http://makingofmedicine.virginia.edu.

###

Media Contact

Josh Barney
[email protected]
434-906-8864

http://www.healthsystem.virginia.edu/home.html

Original Source

https://newsroom.uvahealth.com/2018/10/17/small_cell_lung_cancer/ http://dx.doi.org/10.1158/2159-8290.CD-18-0385

Share12Tweet8Share2ShareShareShare2

Related Posts

Study Suggests Fat Distribution May Impact Cancer Risk

September 24, 2025

Sylvester Joins $16M National Initiative on AI for Breast Cancer Screening

September 24, 2025

Fish Oil Supplements May Be Ineffective for Certain Cancer Patients, Study Finds

September 23, 2025

NBL1 Identified as a Critical Factor in Ovarian Cancer Metastasis

September 23, 2025
Please login to join discussion

POPULAR NEWS

  • Physicists Develop Visible Time Crystal for the First Time

    Physicists Develop Visible Time Crystal for the First Time

    69 shares
    Share 28 Tweet 17
  • Tailored Gene-Editing Technology Emerges as a Promising Treatment for Fatal Pediatric Diseases

    50 shares
    Share 20 Tweet 13
  • Scientists Achieve Ambient-Temperature Light-Induced Heterolytic Hydrogen Dissociation

    49 shares
    Share 20 Tweet 12
  • Rapid Spread of Drug-Resistant Fungus Candidozyma auris in European Hospitals Prompts Urgent Warning from ECDC

    48 shares
    Share 19 Tweet 12

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Trends in Breast Cancer Screening for Older Women

Long-Term Durability of Valoctocogene Roxaparvovec in Hemophilia A

Understanding Heavy Metal Risks in Urban Vegetables

  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.