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
ZeptoMetrix an Antylia scientific company

Download Mobile App




Flaws Found in Cancer Research Trials

By Biotechdaily staff writers
Posted on 14 Feb 2007
Cancer research and drug development are generating more advanced candidate therapies, but investigators' methods to evaluate them have not kept pace, according to researchers.

This could explain why so many experimental drugs fail in the final large and the expensive phase of testing, according to the investigators. More...
In the February 1, 2007, issue of the journal Clinical Cancer Research, researchers from Memorial Sloan-Kettering Cancer Center (MSKCC; New York, NY, USA) discovered that only nine of the 70 phase II studies they assessed clearly defined measures by which an experimental drug could be judged to offer benefit to patients.

"We are facing a new and growing problem in clinical trial testing, and that is while the drugs have changed, researchers are still using the same old methods to gauge how effective they are,” said the study's lead author, Andrew Vickers, Ph.D., a research methodologist.

The problem, according to Dr. Vickers, is that for such a long time, therapies (typically chemotherapy) were assessed by seeing if tumors would shrink in patients with advanced cancer. Measuring that reduction was an accepted way to assess benefit, he said. But current new treatments, which can include targeted therapies that slow tumor progression, are frequently evaluated in less advanced cancer and in combinations "and it can be hard to answer the question of whether patients are doing better than expected,” he said.

In their study, Dr. Vickers, Howard Scher, M.D., chief of the MSKCC genitourinary oncology service, and medical student Vennus Ballen, examined phase II clinical trials reported from June 2003-June 2005 in the Journal of Clinical Oncology and in the journal Cancer, two major journals in cancer research. These studies, which usually enroll 30 to 50 patients, aim to provide a "go/no go” decision on whether the therapies studied should be evaluated in a large phase III clinical trial, the ultimate test of whether a drug should be given to cancer patients.

They specifically looked at 70 studies whose design required "historical data” to determine whether a drug was promising enough to justify a phase III trial. "When a novel agent is added to an existing standard in the hope of increasing response rates over and above those expected from the standard treatment alone, historical data on the response rates to the standard treatment are required,” Dr. Vickers said. "Similarly, some agents are thought to slow disease progression, rather than lead to rapid tumor regression, necessitating an endpoint such as progression-free survival or overall survival at one year. That survival target clearly needs to be developed by reference to historical data.”

For example, if two chemotherapy agents used in combination lead to a 30% survival rate at one year, and researchers are interested in knowing whether an addition of a third drug is of benefit, the three-drug combination has to meet that 30% hurdle and jump over it, according to Dr. Vickers. "So we have to be pretty certain that the 30% target is correct,” he said.

Of the 70 studies they examined, however, nearly half (46%) did not give any justification for the historical target. And of the studies that did refer clearly to prior data, only several (nine, or 13%), did so correctly. Furthermore, trials that failed to report a reason for the historical bar were much more likely to decide that the new therapy was "active” and therefore worthy of further study or a phase III clinical trial, according to Dr. Vickers.

The researchers could not find a single study that used advanced statistical techniques to adjust for differences between patients studied in older clinical trials that were used as the historical bar and patients treated in the new trial, who may be at an early stage of cancer.

"These studies could have been done better,” stated Vickers. "Phase II studies are all about seeing whether patients on a new treatment are doing better than expected; if so, we should investigate the new treatment in a really big trial. However, to know whether we are ‘doing better than expected,' we need some kind of benchmark of what we should expect from standard treatment. That benchmark assessment is what we find is missing from these studies.”




Related Links:
Memorial Sloan-Kettering Cancer Center

Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
Anti-Cyclic Citrullinated Peptide Test
GPP-100 Anti-CCP Kit
Gold Member
Parainfluenza Virus Test
PARAINFLUENZA ELISA
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: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... 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: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... 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 © 2000-2026 Globetech Media. All rights reserved.