We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
INTEGRA BIOSCIENCES AG

Download Mobile App




Potential Biomarker Found for HER2+ Breast Cancer Recurrence

By LabMedica International staff writers
Posted on 04 Jan 2016
A new study indicates that T-cells that recognize HER2 receptor may be key to developing an immune signature test to identify and monitor HER2-positive breast cancer (HER2-BC) patients at high risk of treatment failure and recurrence.

Recurrence of HER2-BC after treatment may be due to a specific, and possibly cancer-induced, weakness in the patient’s immune system—a weakness that in principle could be corrected with a HER2-targeted vaccine—according to a new study by researchers at the Perelman School of Medicine, University of Pennsylvania (Philadelphia, PA, USA). More...
T-cells from patients whose breast cancer had recently recurred showed far weaker response to the HER2 receptor protein, compared to T-cells from patients whose breast cancer had not recurred over a long period following treatment. The study suggests that patients with HER2-BC—which accounts for roughly 20% of the 260,000 invasive breast cancers diagnosed yearly in the US—might someday undergo immune status monitoring with blood tests before, during, and after treatment, to help gauge the risk of recurrence, and possibly to reduce that risk with therapies that boost anti-HER2 immunity.

“We know that it’s not a fixed immune defect, because we have several clinical trials open where we’re vaccinating people and can restore anti-HER2 responsivity,” said senior author Prof. Brian J. Czerniecki, MD, PhD.

Czerniecki and colleagues have long been investigating the role of the immune system in breast cancer, and the potential of cancer vaccines. Their recent focus has been on the T-helper type 1 (Th1) immune response. In the new study, the team isolated immune cells from 95 women with invasive HER2-BC, and analyzed the cells’ ability to mount a Th1 response against the HER2 growth factor receptor protein. HER2-BC cells overexpress the HER2 receptor, which helps drive their rapid proliferation. The cells from women with recently recurrent cancer that had not yet been re-treated had only about 10% of the anti-HER2 responsivity compared to that seen in women whose HER2-BC had not recurred for at least 2 years following treatment. Across all the patients, the researchers found that patients with the least amount of responsivity had experienced only 47 disease-free months after treatment, on average, compared to 113 disease-free months for the patients in with the most responsivity.

The low anti-HER2 responsivity seen in the women with recurrent cancer was not part of a broader immune suppression. “We detected no other immune deficit – just the deficit in the anti-HER2 response,” said Prof. Czerniecki.

The findings complement those from two studies published earlier by Czerniecki and colleagues. In one, Th1 responsivity against HER2 tended to vary strikingly from high responsivity in cancer-free and early-stage HER2-BC patients, to low responsivity in advanced HER2-BC patients. In the other study, patients whose tumors shrank during standard pre-surgery drug treatment had much stronger anti-HER2 responsivity, compared to patients whose tumors responded less completely to that drug treatment.

How patients lose anti-HER2 responsivity during formation and growth of a HER2-BC tumor is not yet clear. “We’re trying to determine the mechanism, but we already know that we can ‘fill the tank’ with vaccines to restore that specific responsivity to HER2,” said Prof. Czerniecki. In addition, the team hopes to confirm the association between anti-HER2 responsivity and cancer recurrence risk in larger clinical trials that would track patient immune status over time.

The study, by Datta J. et al., was published online December 30, 2015, in the journal JAMA Oncology.

Related Links:

Perelman School of Medicine at the University of Pennsylvania
Penn Medicine / University of Pennsylvania Health System



New
Gold Member
Human Chorionic Gonadotropin Test
hCG Quantitative - R012
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Unstirred Waterbath
HumAqua 5
New
Typhoid Rapid Test
OnSite Typhoid IgG/IgM Combo Rapid Test
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... Read more

Pathology

view channel
Image: AI-analyzed images from the FDM microscope show platelet clumps in motion (Photo courtesy of Hirose et al CC-BY-ND)

AI Microscope Spots Deadly Blood Clots Before They Strike

Platelets are small blood cells that act as emergency responders in the body, rushing to areas of injury to help stop bleeding by forming clots. However, sometimes platelets can overreact, leading to complications.... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.