About this trial
This phase II trial tests how well a survivin peptide vaccine called SurVaxM works in preventing lung cancer in high risk patients. Upon administration, the SurVaxM vaccine activates the immune system to produce an immune cell response against cancer cells that express a protein called survivin. This may result in decreased tumor cell proliferation and lead to tumor cell death. SurVaxM is given with montanide, a substance that helps the immune system respond to the SurVaxM vaccine, followed by sargramostim, which is given to increase the number of white blood cells in the body. The SurVaxM vaccine may help the body make special proteins called antibodies, which may be helpful in preventing the development of lung cancer.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Former and current smokers (male and female) with a >= 20 pack year smoking history
Prostate, Lung, Colorectal and Ovarian (PLCO)m2012 Lung Cancer Risk Prediction Score > 1.34%
Participants >= 18 years old will be enrolled. Because no dosing or adverse event (AE) data are currently available on the use of SurVaxM in participants < 18 years of age, children and adolescents are excluded from this study but will be eligible for future pediatric trials, if applicable
Eastern Cooperative Oncology Group (ECOG) performance status =< 1 (Karnofsky >= 60%)
Disqualifiers
History of autoimmune disease necessitating systemic immunosuppression, immunodeficiency, and/or organ allograft
Participants may not be receiving any other chemotherapy (except hormonal agents), immunotherapy or investigational agent, or any immunosuppressive agent, including systemic steroids, including those given after organ transplant
Malignancy treated with curative intent and with no evidence of active disease present for more than 3 years before screening and felt to be at low risk for recurrence by treating physician
Adequately treated carcinoma-in-situ or basal cell carcinoma of the skin without current evidence of disease
Trial design
Single group
Treatments tested in this trial
Biospecimen Collection
Procedure/SurgeryUndergo collection of blood samples
Montanide ISA 51 VG
DrugGiven SC
Questionnaire Administration
Other interventionAncillary studies
Sargramostim
Biological/VaccineGiven SC
SVN53-67/M57-KLH Peptide Vaccine
Biological/VaccineGiven SC
Treatment groups
Trial outcomes
Primary outcomes
Seroconversion rate
Seroconversion rate will be summarized as the frequency and proportion of participants who achieved sufficient seroconversion, which will be reported with the corresponding 95% confidence intervals. A one-sample exact test for one proportion will be used to test whether seroconversion rate exceeds the unacceptably low rate of 50%.
Secondary outcomes
Proportion of participants who require a 3-month booster to achieve seroconversion
Proportions will be reported with the corresponding confidence intervals.
Proportion of participants who achieve seroconversion
Proportions will be reported with the corresponding confidence intervals.
Proportion of participants who do not achieve seroconversion at 3 months but achieve seroconversion 2-4 weeks after receiving a 3-month booster
Proportions will be reported with the corresponding confidence intervals.
Proportion of participants who do not achieve seroconversion
Proportions will be reported with the corresponding confidence intervals.
Other outcomes
Seroconversion rate
Will perform exploratory analyses associating participants' demographic and clinical characteristics with outcomes using Wilcoxon ranksum tests to compare continuous variables between responders and non-responders using Fisher's exact test or chi-squared test to compare categorical variables between responders and non-responders. Multivariable logistic regression models will be used to examine the effects of multiple risk factors simultaneously.
Proportion of participants who require a 3-month booster to achieve seroconversion
Will perform exploratory analyses associating participants' demographic and clinical characteristics with outcomes using Wilcoxon ranksum tests to compare continuous variables between responders and non-responders using Fisher's exact test or chi-squared test to compare categorical variables between responders and non-responders. Multivariable logistic regression models will be used to examine the effects of multiple risk factors simultaneously.
Sponsors and contacts
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