• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Wednesday, October 15, 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

TJP1 protein may identify multiple myeloma patients most likely to benefit from proteasome inhibitors

Bioengineer by Bioengineer
April 28, 2016
in Cancer
Reading Time: 3 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

A gene known as TJP1 (tight junction protein 1) could help determine which multiple myeloma patients would best benefit from proteasome inhibitors such as bortezomib, as well as combination approaches to enhance proteasome inhibitor sensitivity, according to a study led by The University of Texas MD Anderson Cancer Center.

Multiple myeloma is a cancer that forms from white blood cells found in the bone marrow, normally vital to producing antibodies and maintaining a healthy immune system. It is the second most common type of blood cancer.

"Proteasome inhibitors form the cornerstone of our standard therapy for multiple myeloma. However, no biomarkers have been clinically validated that can identify patients most likely to respond to this treatment," said study lead Robert Orlowski, M.D., Ph.D., chair ad interim of Lymphoma/Myeloma. "Our findings provide a rationale for use of TJP1 as the first biomarker to select patients who are most and least likely to benefit from proteasome inhibitors."

The research team's findings are published in the April 28 online issue of Cancer Cell.

TJP1 has not previously been known to play any role as a mediator of proteasome inhibitor sensitivity in multiple myeloma. Orlowski's group showed that TJP1 modulated signaling through a pathway involving EGFR, JAK1, and STAT3. The study findings supported the hypothesis that plasma cells which express low TJP1 levels have both high EGFR/JAK1/STAT3 activity and proteasome content.

"Therefore, these plasma cells were resistant to proteasome inhibitors," said Orlowski. "Moreover, they demonstrated a previously unknown role for EGFR signaling in myeloma, and for STAT3 in controlling the level of proteasomes in cells, and therefore the cell's ability to break down proteins.

The team observed that patients whose myeloma cells expressed low TJP1 levels were significantly less likely to achieve a response or benefit from bortezomib.

"This study allows us to identify promising future directions to overcome proteasome inhibitor resistance in patients with high signaling through EGFR/JAK1/STAT3 pathway by offering combination therapies such as bortezomib with either the EGFR inhibitor erlotinib, or a JAK1 inhibitor such as ruxolitinib," said Orlowski.

The research was part of MD Anderson's SPORE in Multiple Myeloma, and also the Moon Shots Program aimed at accelerating the conversion of scientific discoveries into clinical advances and significantly reducing cancer deaths.

###

MD Anderson research team members included Xing-Ding Zhang, Ph.D., Jatin Shah, M.D., Donna Weber, M.D., Elisabet Manasanch, M.D., Sheeba Thomas, M.D., Bing-Zong Li, M.D., Ph.D., Hui-Han Wang, M.D., Ph.D., Isere Kuiatse, Ph.D., Hua Wang, Ph.D., He Jin, Ph.D., Jin Yang, Ph.D., Zhi-Qiang Wang, Ph.D., Richard E. Davis, M.D. and Lin Yang, M.D., Ph.D., all of Lymphoma/Myeloma; Veerabhadran Baladandayuthapani, Ph.D. and Heather Lin, Ph.D., Biostatistics; and Jiexin Zhang, Ph.D. and Wencai Ma, Ph.D., Bioinformatics and Computational Biology.

Other participating institutions included: Soochow University, Xi'an Jiaotong University, the Singapore Institute of Molecular and Cell Biology, the Myeloma Institute for Research and Therapy, the Levine Cancer Institute, Cancer Research and Biostatistics, and Università Vita-Salute San Raffaele.

The study was funded by the National Institutes of Health (P30 CA142509, P30 CA016672, P01 CA055819, UA10 CA032102, R01 CA184464 and CA194264), Jiangsu Higher Education Institutions and the National Natural Science Foundation of China (81272476), the Multiple Myeloma Research Foundation, the Italian Association for Cancer Research, Sophia and G.W. Brock, Dr. James R. Yates and Dr. Alba A. Ortiz, Dr. Jay R. Solomon, and the Diane & John Grace Multiple Myeloma Research Fund.

Media Contact

Ron Gilmore
[email protected]
713-745-1898
@mdandersonnews

http://www.mdanderson.org

The post TJP1 protein may identify multiple myeloma patients most likely to benefit from proteasome inhibitors appeared first on Scienmag.

Share12Tweet8Share2ShareShareShare2

Related Posts

TTUHSC Researcher Secures CPRIT Grant to Investigate Pediatric Bone Cancer

October 15, 2025

Inflammation Anemia Linked to Cancer Risk

October 15, 2025

Multi-Omics Uncover Taxane Neuropathy Insights

October 15, 2025

Shared Decision-Making in China’s Urinary Reconstruction

October 15, 2025
Please login to join discussion

POPULAR NEWS

  • Sperm MicroRNAs: Crucial Mediators of Paternal Exercise Capacity Transmission

    1244 shares
    Share 497 Tweet 311
  • New Study Reveals the Science Behind Exercise and Weight Loss

    105 shares
    Share 42 Tweet 26
  • New Study Indicates Children’s Risk of Long COVID Could Double Following a Second Infection – The Lancet Infectious Diseases

    101 shares
    Share 40 Tweet 25
  • Revolutionizing Optimization: Deep Learning for Complex Systems

    92 shares
    Share 37 Tweet 23

About

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

Follow us

Recent News

Global Hydrologic Trends Unveiled by Physics-Based AI

TTUHSC Researcher Secures CPRIT Grant to Investigate Pediatric Bone Cancer

Heart Failure: The Mechanism Behind Energetic Uncoupling

Subscribe to Blog via Email

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

Join 65 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.