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Personalized Medicine Study (Survey and Analysis): Protocol

 

 

Protocol Contents

 

Protocol Title

Abstract

Background and Rationale

Study Aims

Experimental Design and Schema

Administrative Organization

Inclusionary Criteria

Exclusionary Criteria

Sample Size and Analysis

Study Endpoints

Study Procedures

Informed Consent

Recruitment

Screening

Risk Disclosure

Confidentiality

Study Intervention

Safety Monitoring Plan

Analysis Plan

Funding

Literature Cited

 

Personalized Medicine Study (Survey and Analysis): Protocol

Protocol Title:   Phase II evaluation of individualized cancer treatment with traditional cytotoxic chemotherapy, “targeted” anti-kinase drugs, and anti-angiogenic agents.

Protocol Version: 1.0.3

Protocol Date: February 03, 2010

Principal Investigator: Larry M. Weisenthal, M.D., Ph.D., Weisenthal Cancer Group, Huntington Beach, CA.

Research Team: Constance Weisenthal, M.T., Laboratory Manager and Study Coordinator, Weisenthal Cancer Group

Abstract

Despite the introduction of many new anticancer drugs over the past two decades, including standard cytotoxic drugs, kinase inhibitors, and anti-angiogenic agents, long term survival rates for most cancers have remained generally unchanged.  While improvements in survival have been achieved in certain patient populations, these largely are modest and are confined to a handful of cancer types.  And yet certain patients, representing all types of cancer, have benefited substantially from the new drugs and also from older drugs.  On an individual basis, long term remissions and even cures have been reported.  This suggests that individualizing therapy for each patient could be a rational approach to cancer treatment.  Indeed, the term “Personalized Medicine,” often through the study of factors potentially predisposing  each patient’s disease to susceptibility to treatment with specific drugs, has become a principal focus in oncology.  Presented with an expanding array of expensive and potentially toxic treatments that provide benefit to some but not all patients, a method must be devised to better qualify candidates for specific chemotherapy drug treatments.

In addition, the drugs themselves are undergoing scrutiny as physicians and investigators devise ways to increase their effectiveness.  Numerous clinical trials are underway in which traditional cytotoxic drugs and targeted therapies, such as kinase and angiogenesis inhibitors, are combined to enhance anti-tumor effect.  In fact, we have reported crossover activity in which drugs, ostensibly in different classes, can exert both anti-tumor and anti-angiogenic effects (Weisenthal, LM, Patel, N, and Weisenthal, C.M. Cell culture detection of microvascular cell death in clinical specimens of human neoplasms and peripheral blood, J Intern Med, In Press).  When combined in vitro against specific populations of viable tumor cells, the complementary properties of these drugs occasionally produce a marked synergistic effect in which modest in vitro single agent activity increases substantially when two or more drugs are tested in combination.  Particularly striking are anti-angiogenic effects produced by certain combinations of anti-kinase and anti-angiogenic drugs.  These effects can be observed and measured using a laboratory test for microvessel viability (MVV assay) which we developed (ibid).  However, the extent of antitumor and anti-angiogenic effect observed is more patient-specific than it is disease-specific, and so it is assumed that it will continue to be necessary to identify the most active drug or drug combination for each patient on an individual basis.

In this observational survey, patients’ tumor cells will be tested prospectively in vitro by the Principal Investigator for susceptibility to specific chemotherapy agents. Test results will be provided to attending physicians in advance of treatment selection by those physicians. Physicians will consider the full range of known clinical factors, in accordance with standard medical practice, and will select for each patient a treatment which is appropriate.  Treatment selection will be guided by each physician’s best clinical judgment.  Treatments will be administered as in the normal course of patient management.  In cases where treatment includes drugs to which patient tumor cell susceptibility had been evaluated prospectively by the Principal Investigator, clinical outcomes of patients will be reported to the Principal Investigator who will then attempt to correlate patient clinical outcomes with in vitro tumor cell susceptibility as observed individually for each patient. 

I. Background and Rational

Despite the introduction of several new anti-cancer drugs over the past two decades, including the so-called “targeted therapy” agents, overall rates of cure for many cancers have remained largely unchanged.  While improvements in response and survival have been achieved in some diseases and in some patient populations, these typically are modest and are confined to a handful of situations.  Traditional clinical trials of pharmaceuticals in which patients are randomized to receive treatment have failed, in most cases, to identify a single “best” drug regimen to administer to all patients sharing a specific cancer diagnosis.  This is particularly true in settings of metastatic and recurrent disease.  And yet individual patients representing all types and stages of cancer are shown occasionally to benefit substantially from both targeted agents and from more traditional drugs.  Among individual patients, long term remissions and even cures are reported.  This suggests that individualizing drug selection for each patient by incorporating into the selection process some number of patient-specific factors could be useful.  Indeed, the term “Personalized Medicine,” often through the study of molecular factors potentially predisposing susceptibility of a patient’s illness to treatment with specific drugs, has become a principal focus in oncology.  This approach ties into a broader challenge currently confronting patients, physicians, drug companies, insurance carriers, and the FDA.  Presented with an expanding array of expensive and potentially toxic treatments that provide benefit to some but not all patients, a better method must be devised to match patients with drugs which are most likely to help them.  This is especially true of the theoretically-promising but financially-costly targeted therapy drugs.

Speaking to this issue, an editorial in Journal of Clinical Oncology (Sledge, J Clin Oncol Sledge 23:1614, 2005) suggests that no therapy can be deemed truly “targeted” if the target cannot be “measured,” in the clinic or in the laboratory.  The editorial states that such measurement can be qualitative or quantitative but that there must always be something measureable, ostensibly allowing for reliable selection of patients who will benefit from the therapies.  The author suggests that, with no reliable means to identify probable responders to drugs, “...research into targeted therapies will grind to a halt.”  He cites the fact that “breast cancer clinical trials increasingly enroll larger populations of patients to find smaller differences in outcome,” and concludes, “An unselected approach has the real potential for throwing away valuable drugs.”

Concurrent with efforts aimed at improved patient selection, the drugs themselves are undergoing further scrutiny as physicians and investigators devise ways to increase drug effectiveness.  Numerous clinical trials are underway in which traditional cytotoxic drugs and targeted therapy drugs, such as kinase and angiogenesis inhibitors, are combined to enhance anti-tumor effect.

We have found that, when combined in vitro against specific populations of viable tumor cells, the complementary properties of these drugs occasionally produce marked synergistic effects in which modest single agent activity in vitro increases substantially with the addition of a second or third agent.  Particularly striking are anti-angiogenic effects produced by certain combinations of anti-kinase and anti-angiogenic drugs.  This is consistent with results of studies in which Folkman et al showed how combining two anti-angiogenic agents, endostatin and angiostatin, greatly increased anti-angiogenic activity relative to that achieved by each drug alone.

However, efforts to individualized drug selection as well as research studies of angiogenesis and other targeted single agent and combination therapies have been hindered by limitations in the clinical relevance of laboratory model systems.  We have developed new methods for assessing the cytotoxic activity of anti-kinase agents and also for measuring dead microvascular cells in clinical tissue, fluid, and blood specimens.  We applied this system to make several potentially novel observations relating to cancer pharmacology and biology.  Among other things, we documented crossover activity in which drugs, ostensibly in different classes, exert both anti-tumor and anti-angiogenic effects.  We have also shown that these effects can be enhanced in some cases by combining certain of the drugs and that the extent of mitigation of drug effect can be measured in our assay system.  Importantly, we have also observed that anti-tumor and anti-angiogenic effects are patient-specific as well as disease-specific, thereby accurately reflecting the reported clinical experience.

Once again, the goal of individualizing treatment is broadly shared throughout the medical community.  Therefore, much interest (and funding) recently has been directed  toward development of gene and protein-based tests.  Gene and protein testing are indirect approaches to chemotherapy selection which examine a single process within the cell or a relatively small number of processes.  Their aim is to determine only if there is evidence of a theoretical predisposition to drug susceptibility.  In this regard, gene and protein testing are “static profiling” approaches.

We favor a “functional profiling” approach involving real-time assessment of living cancer and endothelial cell behaviors in the presence or absence of anti-cancer or anti-angiogenic drugs.  This method accounts not for only for the existence of genes and proteins but also for their functionality and for their interaction with other genes, other proteins, and other processes occurring within the cell.

Gene and protein testing involve the use of non-viable, formalin-fixed cells that are never exposed to chemotherapy drugs.  Gene and protein tests cannot, therefore, elucidate issues relating to drug uptake or show if the drug will be excluded from the cell before it can act or what changes will take place within the cell if the drug successfully gains entry.  Neither can gene or protein tests discriminate among the activities of different drugs within the same class.  Instead gene and protein tests assume that all drugs within a certain class will produce essentially the same effect in the presence of a specific molecular expression even though clinical experience suggests that this is not the case.  Nor can gene or protein tests detect drug synergy in combination.

In contrast, functional tumor cell profiling assesses the net result of all cellular processes occurring in real time when viable cancer cells actually are exposed to specific anti-cancer drugs.  Functional profiling therefore can discriminate differing anti-tumor and anti-angiogenic effects produced by  different drugs nominally within the same class.  Functional profiling, as we propose to use it in this trial, can also identify synergies in drug combinations.

We therefore propose to use these functional tumor and endothelial cell profiling systems to identify potentially clinically-active treatments on a patient by patient basis, to observe rates of response, progression-free survival, and overall survival observed among patients receiving assay-directed treatments, and to compare these with rates of survival as reported by the National Cancer Institute Surveillance Epidemiology and End Results (SEER) program for patients with similar diagnoses and other closely-matched clinical characteristics.  

II. Study Aims

III.  Experimental Design and Schema.

IV. Administrative Organization

V. Study population

             Inclusionary criteria include:

B.      Exclusionary criteria include:

VI. Sample Size Determination and Power Analysis

VII. Study Endpoints

VIII. Study Procedures

                  - All cancer diagnoses will be considered.

                  - Inclusionary and exclusionary criteria are as outlined above.

                 - Recruitment will occur though physician referral.

C.  Informed Consent

      Please click here to review a copy of the Patient Information and Consent Form.

 D.  Advertising Plan

E.  Screening procedures

F.  Risk Disclosure

G. Confidentiality     

H.  Study Intervention.

I.  Safety Monitoring Plan 

J.  Analysis Plan

In addition to reporting all study results, real time, on the web site, the investigators will extract data for analysis and publication.

K.  Funding

 

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Personalized Medicine Study (Survey) Protocol