Use of computed tomography to determine body surface area and K-constant in Atlantic Stingrays for chemotherapeutic dosing.

Objective: The objective of this study was to use body surface area (BSA) obtained via computed tomography (CT) to calculate a species-specific shape constant (K) and provide a formula for BSA based on body weight (BW) in Atlantic Stingrays Hypanus sabina. Ultimately, this information can be used to more accurately calculate chemotherapeutic doses and other metabolic-related measures.

Methods: Six deceased Atlantic Stingrays of unknown age and with a range of sizes were collected during a natural mortality event and underwent CT scans.

Cancer Prevalence across Vertebrates.

Cancer is pervasive across multicellular species, but what explains the differences in cancer prevalence across species? Using 16,049 necropsy records for 292 species spanning three clades of tetrapods (amphibians, sauropsids, and mammals), we found that neoplasia and malignancy prevalence increases with adult mass (contrary to Peto's paradox) and somatic mutation rate but decreases with gestation time. The relationship between adult mass and malignancy prevalence was only apparent when we controlled for gestation time. Evolution of cancer susceptibility appears to have undergone sudden shifts followed by stabilizing selection.

Synchrotron X-ray imaging of soft biological tissues - principles, applications and future prospects.

Synchrotron-based tomographic phase-contrast X-ray imaging (SRµCT or SRnCT) is a versatile isotropic three-dimensional imaging technique that can be used to study biological samples spanning from single cells to human-sized specimens. SRµCT and SRnCT take advantage of the highly brilliant and coherent X-rays produced by a synchrotron light source. This enables fast data acquisition and enhanced image contrast for soft biological samples owing to the exploitation of phase contrast.

Life history traits and cancer prevalence in birds.

Background And Objectives: Cancer is a disease that affects nearly all multicellular life, including the broad and diverse taxa of Aves. While little is known about the factors that contribute to cancer risk across Aves, life history trade-offs may explain some of this variability in cancer prevalence. We predict birds with high investment in reproduction may have a higher likelihood of developing cancer.