Chimeric Ad5.F35 vector evades anti-adenovirus serotype 5 neutralization opposing GUCY2C-targeted antitumor immunity.

BACKGROUND: Adenovirus serotype 5 (Ad5) is a commonly used viral vector for transient delivery of transgenes, primarily for vaccination against pathogen and tumor antigens. However, endemic infections with Ad5 produce virus-specific neutralizing antibodies (NAbs) that limit transgene delivery and constrain target-directed immunity following exposure to Ad5-based vaccines. Indeed, clinical trials have revealed the limitations that virus-specific NAbs impose on the efficacy of Ad5-based vaccines. In that context, the emerging focus on immunological approaches targeting cancer self-antigens or neoepitopes underscores the unmet therapeutic need for more efficacious vaccine vectors. METHODS: Here, we evaluated the ability of a chimeric adenoviral vector (Ad5.F35) derived from the capsid of Ad5 and fiber of the rare adenovirus serotype 35 (Ad35) to induce immune responses to the tumor-associated antigen guanylyl cyclase C (GUCY2C). RESULTS: In the absence of pre-existing immunity to Ad5, GUCY2C-specific T-cell responses and antitumor efficacy induced by Ad5.F35 were comparable to Ad5 in a mouse model of metastatic colorectal cancer. Furthermore, like Ad5, Ad5.F35 vector expressing GUCY2C was safe and produced no toxicity in tissues with, or without, GUCY2C expression. Importantly, this chimeric vector resisted neutralization in Ad5-immunized mice and by sera collected from patients with colorectal cancer naturally exposed to Ad5. CONCLUSIONS: These data suggest that Ad5.F35-based vaccines targeting GUCY2C, or other tumor or pathogen antigens, may produce clinically relevant immune responses in more (≥90%) patients compared with Ad5-based vaccines (~50%).

Statistical algorithm for assuring similar efficiency in standards and samples for absolute quantification by real-time reverse transcription polymerase chain reaction.

Reverse transcription (RT) followed by the polymerase chain reaction (PCR) is the method of choice for quantifying rare transcripts in biological samples. A key assumption underlying the absolute quantification of transcripts is similar amplification efficiencies of all external standards and samples. However, efficiencies can vary between individual reactions, a problem that can be magnified when quantifying transcripts of low abundance. Here, an algorithm to assure that calibration standards and samples meet the assumption of similar amplification efficiencies underlying absolute quantification is presented. Individual reaction efficiency is estimated by fitting an exponential growth model to the fluorescence data in the exponential phase of the reaction. Next, reactions of standards with outlying estimates of amplification rates are eliminated using the boxplot outlier detection rule. Then, estimates of amplification rates of outlier-free standards are employed to define exact tolerance intervals, which are used to eliminate kinetic outliers from test samples. This algorithm was employed to eliminate kinetic outliers prior to defining the baseline expression of guanylyl cyclase C mRNA, a marker for colorectal cancer, in blood of healthy volunteers. These studies demonstrate that elimination of kinetic outliers from calibration standards and test samples improves the accuracy of absolute transcript quantification by RT-PCR.