28.02.2013 Views

Download File - JOHN J. HADDAD, Ph.D.

Download File - JOHN J. HADDAD, Ph.D.

Download File - JOHN J. HADDAD, Ph.D.

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Personalized Cancer Vaccines 79<br />

impossible to precisely identify the target treatment group for any given vaccine<br />

in any given indication without conducting a large randomized trial. Because the<br />

patients’ immune response is part of his own treatment and must be intact for a<br />

vaccine to work, the stage of the cancer as well as history of prior therapies are<br />

much more important considerations for therapeutic vaccines than for conventional<br />

cancer treatments. This makes the selection of a patient population<br />

especially critical. Often a vaccine’s effect must be evaluated across a range of<br />

disease stages to identify exactly which stages are most responsive to the<br />

treatment. The target treatment population may vary by vaccine as well as by<br />

cancer type; therefore, a large randomized trial must be conducted for each<br />

vaccine in each indication for which it is to be developed.<br />

According to current regulatory process, any benefit observed in a subgroup<br />

of patients—even if statistically significant in predefined or post hoc<br />

analyses—in most of the cases must be subsequently confirmed in a second<br />

randomized trial involving this subgroup. Therefore, these large, late-stage trials<br />

must be conducted sequentially, meaning that a late-stage development program<br />

could last more than 10 years, which currently represents a significant impediment<br />

to the success of the field of cancer vaccines.<br />

Lack of Early Surrogate Markers<br />

The lack of information with which to orient initial late-stage studies can be<br />

attributed to the absence of a reliable early marker or critical event that indicates<br />

that clinical benefit may be associated with the experimental treatment.<br />

Newer therapies such as therapeutic cancer vaccines, EGFR/HER2/neu<br />

inhibitors, and angiostatins tend to affect cancers in a different manner compared<br />

with traditional cancer treatments. They appear to slow the course of<br />

disease without causing earlier-measurable tumor shrinkage. Therefore, the<br />

effect of treatment only becomes apparent later, when the growth of the tumor<br />

lesions is retarded or absent, and the comparative time to progression is slowed.<br />

Treatment effect in the earlier-stage disease or adjuvant treatment settings<br />

can be even longer to ascertain, as the minimal tumor burden in these settings<br />

makes quicker end points such as tumor response or time to progression<br />

inapplicable. Therefore, identification of a surrogate marker or critical event<br />

indicative of clinical benefit could provide earlier feedback to help identify the<br />

group of patients most likely to benefit from treatment. This could help shorten<br />

development timelines by making the newer adaptive trial designs feasible in<br />

the earlier-disease/adjuvant treatment setting: By identifying patients that<br />

seem to be benefiting most from treatment early in patient enrollment,<br />

enrollment criteria could be tailored to focus on enrolling the optimal patient<br />

population. This could potentially eliminate the need for a second trial to<br />

confirm subset analysis findings, affording the opportunity for a single, latestage<br />

clinical trial to establish all of the efficacy and safety information necessary<br />

to support a treatment’s initial licensure.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!