Drug Development for Chronic Cancers: Time to Think Differently? JCO (ovarian cancer) Ovarian Cancer and Us OVARIAN CANCER and US Ovarian Cancer and Us

Blog Archives: Nov 2004 - present

#ovariancancers



Special items: Ovarian Cancer and Us blog best viewed in Firefox

Search This Blog

Thursday, November 01, 2012

Drug Development for Chronic Cancers: Time to Think Differently? JCO (ovarian cancer)



Drug Development for Chronic Cancers: Time to Think Differently?

Drug Development for Chronic Cancers: Time to Think Differently?

  1. David R. Spriggs
+ Author Affiliations
  1. Memorial Sloan-Kettering Cancer Center; and Weill Medical College of Cornell University, New York, NY
  1. Corresponding author: David R. Spriggs, MD, Memorial Sloan-Kettering Cancer Center, Howard 901, 1275 York Ave, New York, NY 10021; e-mail: spriggsd@mskcc.org.
As the treatments for epithelial cancers have inched forward, the chronic management of patients with high performance status has become a common problem in the practice of oncology. This conundrum is clearly illustrated by the excellent, yet negative, randomized trial by Colombo et al1 that accompanies this editorial. This large, well-designed clinical trial tested another modestly active agent, patupilone, in comparison with pegylated liposomal doxorubicin (PLD) in patients with platinum-resistant ovarian cancer. Sadly, this study did not meet its prespecified superiority end point, namely an overall survival improvement compared with the use of PLD.
What drug development lessons can be learned from yet another trial that fails to meet its designed superiority outcome?
There are several potential points for consideration by solid tumor oncologists and gynecologic oncologists as we design strategies to incrementally improve the lives of patients with cancer until we find the rare breakthroughs that will irrefutably extend patient survival.
First, we need to acknowledge that the barriers for achieving major advances are formidable. Previously treated solid tumors have been selected in a devilishly Darwinian crucible of genetic instability, heterogeneity, and mutagenic primary therapy. Drug-resistant cancers tend to be broadly refractory to additional agents, regardless of mechanism. Platinum-resistant tumor response rates to topotecan, PLD, and trabectedin are all half of what would be expected in the untreated or platinum-sensitive patient groups. Without a predictive biomarker to enrich for patients who are likely to benefit, many nonresponders will be present in both arms of a randomized trial in platinum-resistant ovarian cancer, making it difficult to detect small but potentially important signs of clinical benefit. This low response rate and the brief duration of improvement combine to dictate very large and costly sample sizes. Yet even adequately sized superiority trials like that of Colombo et al1 are likely to fail. Table 1 details the recent phase III randomized trials in platinum-refractory ovarian cancer.19 From these trials, performed over more than a decade, it is apparent that classic chemotherapy development has hit a glass ceiling in platinum-resistant ovarian cancer. One must conclude that inferiority is a real possibility in these trials (because the approved drugs have reproducible, modest effects), therapeutic equivalence is an optimistic outcome, and superiority to current treatment is a distant, unlikely achievement. New superiority trials with classic chemotherapy must be regarded like third Hollywood marriages: a “triumph of hope over experience.”10
View this table:
Table 1.
Recent Phase III Randomized Trials in Platinum-Refractory Ovarian Cancer
Second, our models for predicting success are unreliable. The phase II experience that led to this phase III trial is not yet published but is described as a single-arm, nonrandomized study. These modestly sized, nonrandomized trials are treacherous guides and have increasingly been criticized for their lack of predictive power.11,12 The reliability of single-arm, phase II trials is undermined by undefined patient selection factors and the wide variability that is caused by the statistics of small numbers. The sponsor often finds that the data set is incomplete, but the ticking of the patent clock forces a choice between a risky phase III trial and abandoning an asset of potential value. Although predictive biomarkers are widely advocated, the number of responses is frequently low and the biomarkers are not validated until long after the phase III decisions are forced.13
Finally, the overall survival end point, demanded by purists and regulatory authorities, is seriously weakened by the growing number of modestly successful treatments that are offered to patients who need treatment after their trial participation ends. Although this is not an issue in the patupilone trial by Colombo et al,1 the analysis by Broglio and Berry14 is particularly sobering for other trials with an overall survival end point. The simulations by Broglio and Berry suggest that extended survival after completion of trial participation is likely to lead to a growing dissociation between progression-free survival (PFS) and overall survival end points. Long post-trial survival, coupled with the use of subsequent (albeit marginal) treatment options for platinum-resistant ovarian cancer, make this point very salient to our assessment of new drugs in the randomized trial setting. Topotecan, weekly paclitaxel, gemcitabine, and bevacizumab all have measurable antitumor activity in the population that was studied by Colombo et al, but the effect of epothilone treatment on subsequent response to these and other agents is unknown. The uncertainty is compounded further by predictable PLD crossover in the patupilone arm.
Solutions to this conundrum are complicated, but several approaches may be considered. In the absence of a robust selection marker, perhaps therapeutic equivalence is a more realistic goal, despite the well-known statistical penalties that are intrinsic to equivalency trials, not the least of which is the relatively large number of patients required to power such studies appropriately. The history delineated in Table 1 confirms that inferiority is a risk, but superiority is exceedingly rare. PFS outcomes that are similar to the best current therapy might not be such a bad outcome, assuming that the new drug has a superior toxicity profile. In the last year, PLD has been rarely available to patients as a result of problems with production. An alternative drug like patupilone would have been welcome to patients and doctors alike during that hiatus. We may also want to reconsider the value of a strictly defined PFS end point when expected post-trial survival exceeds 6 months, as it often does in well-managed patients with solid tumors. And perhaps a more realistic economic valuation is in order for therapies with modest incremental benefits. A lower cost might decrease society's reluctance to accept a new drug's approval for limited survival benefits. This is an appropriate time to re-evaluate all of our traditional preconceptions about cancer drug development. The present system seems to be serving patients, companies, regulators, and oncologists poorly.

AUTHOR'S DISCLOSURES OF POTENTIAL CONFLICTS OF INTEREST

The author(s) indicated no potential conflicts of interest.

Footnotes

  • See accompanying article on page 3841

REFERENCES



Related Article

0 comments :

Post a Comment

Your comments?

Note: Only a member of this blog may post a comment.