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Behavioural Voluntary And Social Bioassays Enabling Identification Of Complex And Sex Dependent Pain- (-Related) Phenotypes In Rats With Bone Cancer

Segelcke, D.; Linnemann, J.; Pradier, B.; Kronenberg, D.; Stange, R.; Richter, H.; Goerlich, D.; Baldini, N.; Di Pompo, G.; Verri, W. A.; Avent, S.; Pogatzki-Zahn, E. M.

2022-11-22 cancer biology
10.1101/2022.11.19.517016 bioRxiv
Show abstract

Cancer-induced bone pain (CIBP) is a common and devastating symptom with limited treatment options in patients, significantly affecting their quality of life. To uncover the mechanisms underlying CIBP, using rodent models is the most common approach; however, the translation of results to the clinic may be hindered because the assessment of pain-related behavior is often based exclusively on reflexive-based methods, which are only partially indicative relevant pain in patients. In order to improve the accuracy and strength of the preclinical experimental model of CIBP in rodents, we used a battery of multimodal behavioral tests that were also aimed at identifying rodent-specific behavioral components by using a homecage monitoring assay (HCM). Rats of all sexes received an injection with either heat-deactivated (sham-group) or potent mammary gland carcinoma Walker 256 cells into the tibia. By integrating multimodal datasets, we assessed pain-related behavioral trajectories of CIBP-phenotype, including evoked and non-evoked based assays and HCM. Using principal component analysis (PCA), we discovered sex-specific differences in establishing the CIBP-phenotype, which occurred earlier (and different) in males. In addition, HCM phenotyping revealed the occurrence of sensory-affective states manifested by mechanical hypersensitivity in sham when housed with a tumor-bearing cagemate (CIBP) of the same sex. This multimodal battery allows an in-depth characterization of the CIBP-phenotype under social aspects in rats. The detailed, sex-specific, and rat-specific social phenotyping of CIBP enabled by PCA provides the basis for mechanism-driven studies to ensure robustness and generalisability of results and provide information for targeted drug development in the future.

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