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
LGC Clinical Diagnostics

Download Mobile App




Circulating Tumor Cell Dynamics Predicts Cancer Prognosis

By LabMedica International staff writers
Posted on 23 Dec 2020
Print article
Image: The CELLSEARCH Circulating Tumor Cell (CTC) Test is used for determining the prognosis of patients with metastatic breast, prostate and colorectal cancer (Photo courtesy of Menarini Silicon Biosystems).
Image: The CELLSEARCH Circulating Tumor Cell (CTC) Test is used for determining the prognosis of patients with metastatic breast, prostate and colorectal cancer (Photo courtesy of Menarini Silicon Biosystems).
Metastatic breast cancer, also called stage IV breast cancer, means the cancer has traveled through the bloodstream to create tumors in the liver, lungs, brain, bones and/or other parts of the body. Approximately 20% to 30% of women with early stage breast cancer go on to develop metastatic disease.

Circulating tumor cells (CTCs), are tumor cells that diffuse into the circulating blood and serve an important role in the progress of cancer. During the early stages of cancer, CTCs undergo an epithelial‑mesenchymal transition and obtain a more invasive phenotype. The development of robust and clinical study-friendly techniques has led to thorough investigation of CTCs as biomarkers in stage IV breast cancer, where CTCs can frequently be detected.

Scientists at the Ulm University Hospital (Ulm, Germany) investigated the potential of CTCs, which are shed from the primary tumor into the bloodstream, to predict overall survival. They analyzed global pooled datasets from peer-reviewed and published studies of 4,079 patients with metastatic breast cancer, all of whom had undergone baseline and follow-up CTC measurements using the CellSearch test (Menarini Silicon Biosystems Inc, Huntington Valley, PA, USA). The median time from baseline to follow-up was 29 days. Changes in CTC levels between baseline and follow-up were analyzed to determine whether they were associated with overall survival.

The investigators reported that of the 2,961 patients who were CTC-positive at baseline, 1,855 remained CTC-positive after initiating treatment (positive/positive), and 1,106 patients had converted to CTC-negative (positive/negative). Of the 1,118 patients who were CTC-negative at baseline, 813 remained CTC-negative (negative/negative), while 305 had become CTC-positive (negative/positive). Median overall survival was greatest for patients who were negative/negative (47 months), followed by positive/negative (32.2 months), negative/positive (29.7 months), and positive/positive (17.9 months).

Compared to patients who were negative/negative, the risk of death was 215% greater for those who were positive/positive, 74% greater for negative/positive, and 52% greater for positive/negative. For patients who were CTC-positive at baseline, those who remained CTC-positive at follow-up had a 51% greater risk of death than those who converted to CTC-negative. Similar trends were found when CTC dynamics were analyzed by breast cancer subtype, including for hormone receptor-positive, HER2-positive, and triple-negative breast cancers. CTC dynamics were associated with overall survival for all breast cancer subtypes.

Wolfgang Janni, MD, PhD, a professor of Obstetrics and Gynecology and a senior author of the study, said, “With the increasing number of treatment options available to patients with metastatic breast cancer, being able to predict and monitor treatment responses rapidly will be critical to aiding treatment decisions. We were interested in determining whether treatment response and prognosis could be predicted earlier using a simple blood test.” The study was presented at the virtual 2020 San Antonio Breast Cancer Symposium, held December 8-11.




Gold Member
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Epstein-Barr Virus Test
Mononucleosis Rapid Test
New
Pipet Controller
Stripettor Pro

Print article

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

Molecular Diagnostics

view channel
Image: The advanced molecular test is designed to improve diagnosis of a genetic form of COPD (Photo courtesy of National Jewish Health)

Groundbreaking Molecular Diagnostic Test Accurately Diagnoses Major Genetic Cause of COPD

Chronic obstructive pulmonary disease (COPD) and Alpha-1 Antitrypsin Deficiency (AATD) are both conditions that can cause breathing difficulties, but they differ in their origins and inheritance.... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... 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

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.