Starting the fight in the tumor: expert recommendations for the development of human intratumoral immunotherapy (HIT-IT).

A European Society for Medical Oncology (ESMO)-sponsored expert meeting was held in Paris on 8 March 2018 which comprised 11 experts from academia, 11 experts from the pharmaceutical industry and 2 clinicians who were representatives of ESMO. The focus of the meeting was exclusively on the intratumoral injection/delivery of immunostimulatory agents with the aim of harmonizing the standard terms and methodologies used in the reporting of human intratumoral immunotherapy (HIT-IT) clinical trials to ensure quality assurance and avoid a blurring of the data reported from different studies. The goal was to provide a reference document, endorsed by the panel members that could provide guidance to clinical investigators, pharmaceutical companies, ethics committees, independent review boards, patient advocates and the regulatory authorities and promote an increase in the number and quality of HIT-IT clinical trials in the future. Particular emphasis was placed not only on the development of precise definitions to facilitate a better understanding between investigators but also on the importance of systematic serial biopsies as a driver for translational research and the need for the recording and reporting of data, to facilitate a better understanding of the key processes involved.

Simpson's paradox - aggregating and partitioning populations in health disparities of lung cancer patients.

It is well known that non-small cell lung cancer (NSCLC) is a heterogeneous group of diseases. Previous studies have demonstrated genetic variation among different ethnic groups in the epidermal growth factor receptor (EGFR) in NSCLC. Research by our group and others has recently shown a lower frequency of EGFR mutations in African Americans with NSCLC, as compared to their White counterparts. In this study, we use our original study data of EGFR pathway genetics in African American NSCLC as an example to illustrate that univariate analyses based on aggregation versus partition of data leads to contradictory results, in order to emphasize the importance of controlling statistical confounding. We further investigate analytic approaches in logistic regression for data with separation, as is the case in our example data set, and apply appropriate methods to identify predictors of EGFR mutation. Our simulation shows that with separated or nearly separated data, penalized maximum likelihood (PML) produces estimates with smallest bias and approximately maintains the nominal value with statistical power equal to or better than that from maximum likelihood and exact conditional likelihood methods. Application of the PML method in our example data set shows that race and EGFR-FISH are independently significant predictors of EGFR mutation.

Pre and post ovulatory changes in the concentration of prostaglandins in rat graafian follicles.

The concentrations of prostaglandin F (PGF) and prostaglandin E (PGE) were measured by radioimmunoassay in isolated Graafian follicles of mature female rats during the pre and post ovulatory period of the estrous cycle. The levels of these prostaglandins were low and relatively constant from 8 a.m. to 4 p.m. on the day of proestrus, but there was a marked increase at 8 p.m. of proestrus reaching an apparent maximum at midnight (PGF 18 fold, PGE 70 fold). By 4 a.m. to 8 a.m. on the morning of estrus these prostaglandins declined rapidly to levels similar to those observed between 8 a.m. and 4 p.m. on the day of proestrus. The increases in prostaglandin levels occurred after the LH peak and apparently before the time of ovulation. These data confirm the role of PGF and PGE in the local mechanism of ovulation in the normal adult of a spontaneously ovulating animal species.