Guidelines for citing the Cancer Center Support Grant (P30 CA034196) in publications
Cancer Center Members should cite the Cancer Center Support Grant (CCSG) in publications that are both:
- Cancer relevant based on the criteria below AND
- Supported by CCSG funding in one or more of the following ways:
- Data were generated from a CCSG-supported Shared Service*
- Work was supported by CCSG Pilot/Developmental funds.
- Concept was developed through interactions at a CCSG sponsored event e.g. Annual Retreats, workshops or through travel support for scientific conferences.
Cancer Relevance Criteria: Publications meeting at least one of the criteria below are considered cancer relevant.
- Publication directly addresses a cancer related problem, e.g. cancer term in title/abstract; cancer cell lines/data used in the study etc., OR
- Publication provides knowledge/resources/technologies that contributes to cancer research in one or more of the following ways:
- Describes molecular and/or cellular mechanisms for which there is evidence of a role in cancer development, progression, or metastasis. E.g. genomic instability, cell division, DNA repair, recombination, cancer gene function, epigenetics, stem cell biology, circadian rhythm etc.
- Describes basic biological systems/processes relevant to cancer development and/or treatment response e.g. immunology, aging, germline genetics, microbiome-host interactions, sarcopenia/cachexia etc.
- Describes diseases and behaviors that are associated with the risk of developing cancer (e.g. obesity, diabetes, substance abuse), and/or share mechanistic pathways with cancer (e.g. Alzheimer’s disease).
- Describes diseases/conditions that are associated with the risk of adverse events due to cancer treatment. e.g. Type 1 diabetes, myocarditis, colitis, peripheral neuropathy, hearing loss, infertility etc.
- Describes new methods, computational tools, quantitative approaches, and/or research resources (e.g. models, databases) that are relevant to basic and/or translational cancer research.
*Genome and Single Cell Technologies, Computational Sciences, Cancer Model Development Resource (GEMMS & PDX R&D Core), Genetic Engineering Technologies, Flow Cytometry, Microscopy, Mass Spectrometry & Protein Chemistry