• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, October 22, 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 Biology

A new approach for detecting tumor heterogeneity to assess breast cancer patient outcomes

Bioengineer by Bioengineer
August 4, 2022
in Biology
Reading Time: 3 mins read
0
Tumor heterogeneity
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

LEBANON, NH –  Tumor heterogeneity refers to the presence of a variety of distinct cell types within a tumor. High tumor heterogeneity is thought to contribute to breast cancer progression and metastasis, or spreading to other parts of the body. Researchers at Dartmouth Cancer Center have developed a new approach for detecting and quantifying tumor heterogeneity to assess patient outcomes in breast cancer. The approach will pave the way to utilizing the extent of tumor heterogeneity as a factor in therapeutic decision-making.

Tumor heterogeneity

Credit: Diwakar R. Pattabiraman

LEBANON, NH –  Tumor heterogeneity refers to the presence of a variety of distinct cell types within a tumor. High tumor heterogeneity is thought to contribute to breast cancer progression and metastasis, or spreading to other parts of the body. Researchers at Dartmouth Cancer Center have developed a new approach for detecting and quantifying tumor heterogeneity to assess patient outcomes in breast cancer. The approach will pave the way to utilizing the extent of tumor heterogeneity as a factor in therapeutic decision-making.

The study finds that high levels of heterogeneity in a patient’s tumor are typically associated with poor prognosis. However, they were also able to identify specific proteins that regulate the extent of heterogeneity in a tumor and its potential to spread.

These findings, “Phenotypic heterogeneity driven by plasticity of the intermediate EMT state governs disease progression and metastasis in breast cancer” are newly published in Science Advances.

“This work is exciting because we have developed an approach to quantify tumor heterogeneity that can be applied to patient specimens obtained in a pathology lab,” says corresponding author Diwakar R. Pattabiraman, PhD.

Recognizing the impact of tumor heterogeneity and developing ways of quantifying it, are the initial steps to ultimately being able to decrease or curtail the development of high levels of heterogeneity in patient tumors as a therapeutic avenue.

The team’s next steps are to assess how the extent of tumor heterogeneity determines treatment outcomes in breast cancer. “If we can obtain tumor specimens from a patient before therapy, we can try to predict how they respond to the current standard-of-care regimens,” says Pattabiraman.

The team’s work was presented in April, 2022, at the American Association for Cancer Research annual meeting in New Orleans, LA by Dr. Meredith Brown, a recent graduate of the Pattabiraman laboratory who led the research study.

*  *  *

Diwakar R. Pattabiraman, PhD, is a member of the Cancer Signaling, Genomes and Networks Research Program at Dartmouth Cancer Center, and Assistant Professor of Molecular and Systems Biology at Dartmouth’s Geisel School of Medicine. His research interests include studying the sources of tumor heterogeneity and its implications for tumor progression and therapy resistance. @diwraman

Meredith S. Brown, PhD, is a recent graduate of the Pattabiraman laboratory and the Molecular and Cellular Biology graduate program at Dartmouth. In addition to understanding the biology of breast tumor heterogeneity, her primary project has focused on developing the methodology and application of a novel assay to quantify tumor heterogeneity as a tool to assess patient prognosis.

*  *  *

About Dartmouth Cancer Center

About Dartmouth Cancer Center: Dartmouth Cancer Center combines the advanced cancer research in partnership with Dartmouth and the Geisel School of Medicine, with award-winning, personalized, and compassionate patient-centered cancer care based at the Norris Cotton Cancer Care Pavilion at Dartmouth Hitchcock Medical Center. With 14 locations around New Hampshire and Vermont, Dartmouth Cancer Center is one of only 52 National Cancer Institute-designated Comprehensive Cancer Centers. Each year the Dartmouth Cancer Center schedules 74,000 appointments seeing more than 4,500 newly diagnosed patients, and currently offers patients more than 240 active clinical trials. Celebrating its 50th anniversary in 2022, Dartmouth Cancer Center remains committed to excellence, outreach and education. We strive to prevent and cure cancer, enhance survivorship and to promote cancer health equity through pioneering interdisciplinary research and collaborations. Learn more at http://cancer.dartmouth.edu.



Journal

Science Advances

DOI

10.1126/sciadv.abj8002

Method of Research

Experimental study

Subject of Research

Cells

Article Title

Phenotypic heterogeneity driven by plasticity of the intermediate EMT state governs disease progression and metastasis in breast cancer

Article Publication Date

3-Aug-2022

Share12Tweet8Share2ShareShareShare2

Related Posts

blank

Sulcal Pits: New Insights into Sex-Related Brain Differences

October 22, 2025
Consumer Demographics Shape Rice Texture and Preference

Consumer Demographics Shape Rice Texture and Preference

October 22, 2025

LET-418/Mi-2 Modulates Intestinal Response to Pathogens in C. elegans

October 22, 2025

How Social Factors Affect Substance Abuse Treatment by Gender

October 22, 2025

POPULAR NEWS

  • Sperm MicroRNAs: Crucial Mediators of Paternal Exercise Capacity Transmission

    1272 shares
    Share 508 Tweet 318
  • Stinkbug Leg Organ Hosts Symbiotic Fungi That Protect Eggs from Parasitic Wasps

    305 shares
    Share 122 Tweet 76
  • ESMO 2025: mRNA COVID Vaccines Enhance Efficacy of Cancer Immunotherapy

    142 shares
    Share 57 Tweet 36
  • New Study Suggests ALS and MS May Stem from Common Environmental Factor

    131 shares
    Share 52 Tweet 33

About

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

Follow us

Recent News

Socioeconomic Factors Affecting Breast Cancer Outcomes in Iran

Sulcal Pits: New Insights into Sex-Related Brain Differences

Autistic Young Adults’ Tips for Smooth Transition

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 66 other subscribers
  • 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.