Metabolite profiling of human renal cell carcinoma reveals tissue-origin dominance in nutrient availability

The tumor microenvironment is a determinant of cancer progression and therapeutic efficacy, with nutrient availability playing an important role. Although it is established that the local abundance of specific nutrients defines the metabolic parameters for tumor growth, the factors guiding nutrient availability in tumor compared to normal tissue and blood remain poorly understood. To define these factors in renal cell carcinoma (RCC), we performed quantitative metabolomic and comprehensive lipidomic analyses of tumor interstitial fluid (TIF), adjacent normal kidney interstitial fluid (KIF), and plasma samples collected from patients. TIF nutrient composition closely resembles KIF, suggesting that tissue-specific factors unrelated to the presence of cancer exert a stronger influence on nutrient levels than tumor-driven alterations. Notably, select metabolite changes consistent with known features of RCC metabolism are found in RCC TIF, while glucose levels in TIF are not depleted to levels that are lower than those found in KIF. These findings inform tissue nutrient dynamics in RCC, highlighting a dominant role of non-cancer-driven tissue factors in shaping nutrient availability in these tumors.

Metabolite profiling of human renal cell carcinoma reveals tissue-origin dominance in nutrient availability

The tumor microenvironment is a determinant of cancer progression and therapeutic efficacy, with nutrient availability playing an important role. Although it is established that the local abundance of specific nutrients defines the metabolic parameters for tumor growth, the factors guiding nutrient availability in tumor compared to normal tissue and blood remain poorly understood. To define these factors in renal cell carcinoma (RCC), we performed quantitative metabolomic and comprehensive lipidomic analyses of tumor interstitial fluid (TIF), adjacent normal kidney interstitial fluid (KIF), and plasma samples collected from patients. TIF nutrient composition closely resembles KIF, suggesting that tissue-specific factors unrelated to the presence of cancer exert a stronger influence on nutrient levels than tumor-driven alterations. Notably, select metabolite changes consistent with known features of RCC metabolism are found in RCC TIF, while glucose levels in TIF are not depleted to levels that are lower than those found in KIF. These findings inform tissue nutrient dynamics in RCC, highlighting a dominant role of non-cancer driven tissue factors in shaping nutrient availability in these tumors.

Acquisition of aneuploidy drives mutant p53-associated gain-of-function phenotypes

p53 is mutated in over half of human cancers. In addition to losing wild-type (WT) tumor-suppressive function, mutant p53 proteins are proposed to acquire gain-of-function (GOF) activity, leading to novel oncogenic phenotypes. To study mutant p53 GOF mechanisms and phenotypes, we genetically engineered non-transformed and tumor-derived WT p53 cell line models to express endogenous missense mutant p53 (R175H and R273H) or to be deficient for p53 protein (null). Characterization of the models, which initially differed only by TP53 genotype, revealed that aneuploidy frequently occurred in mutant p53-expressing cells. GOF phenotypes occurred clonally in vitro and in vivo, were independent of p53 alteration and correlated with increased aneuploidy. Further, analysis of outcome data revealed that individuals with aneuploid-high tumors displayed unfavorable prognoses, regardless of the TP53 genotype. Our results indicate that genetic variation resulting from aneuploidy accounts for the diversity of previously reported mutant p53 GOF phenotypes.

Abstract 2489: A functional genomics approach to determine mutant p53 gain-of-function mechanisms and phenotypes in tumorigenesis

Two of the most common events in human tumors are mutation of the tumor suppressor gene TP53 and development of aneuploidy. In addition to losing their wild-type (WT) tumor-suppressive function, mutant p53 proteins are proposed to acquire gain-of-function (GOF) activity, leading to novel oncogenic phenotypes. Mechanistic understanding of mutant p53 GOF activities is complicated by the diversity and context-specific nature of reported GOF phenotypes. The study of mutant p53 GOF activities is especially challenging because mutations in p53 are positively correlated with the development of aneuploidy, which can increase heterogeneity through diverse chromosomal alterations and itself contributes to tumorigenesis. To study mutant p53 GOF mechanisms and phenotypes, we used CRISPR/Cas9-mediated genome editing and developed two isogenic epithelial cell line models (one non-transformed and one tumor-derived) that express the most frequently occurring p53 missense mutations (R175H and R273H), are deficient for functional p53 protein (null), or retain the wild-type (WT) protein. In these engineered models, endogenous p53 expression is regulated by the native p53 promoter, thus providing a controlled system for rigorous functional experimentation across different p53 states. Additionally, the use of clonally-derived cell lines originating from the same near diploid parental genetic background allows for assessment of the genomic alterations and resulting molecular heterogeneity following mutation of TP53. Through genomic, transcriptomic, and cellular based assays we have validated our cell line models and found that missense mutant and p53 null cells display loss of p53 function. Through functional genomics analyses comparing isogenic epithelial cells, which initially differed only by the TP53 genotype, we have evaluated the relationship between mutant p53 and aneuploidy and assessed whether our clonal cell lines display several previously reported mutant p53 GOF phenotypes such as altered gene expression, proliferation, metabolism, drug sensitivity, and migration. Further, using lentiviral mediated knockdown of p53 protein we evaluated the dependency of these phenotypes on expression of mutant p53 protein. Finally, data from The Cancer Genome Atlas (TCGA) was used for the analysis of manifestations of clinical mutant p53 GOF phenotypes. The dissection of mutant p53 GOF phenotypes will improve the current understanding of the role of mutant p53 in tumorigenesis. The results generated from these studies have the potential for clinical translation in major types of human cancer that have high-frequency p53 mutation.

Citation Format: Lindsay N. Redman-Rivera, Timothy M. Shaver, Hailing Jin, Johanna M. Schafer, Quanhu Sheng, Rachel A. Hongo, Kathryn E. Beckermann, Brian D. Lehmann, Ferrin C. Wheeler, Jennifer A. Pietenpol. A functional genomics approach to determine mutant p53 gain-of-function mechanisms and phenotypes in tumorigenesis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2489.

Nutrient partitioning in the tumor microenvironment

The tumor microenvironment (TME) includes cancer and infiltrating immune cells. Tumors canonically consume glucose through Warburg metabolism, a process forming the basis of cancer imaging by positron emission tomography (PET). Activated immune cells also rely on glucose, and impaired immune cell metabolism in the TME contributes to tumor progression. It remains uncertain, however, if immune cell metabolism is dysregulated in the TME by cell intrinsic programs or by competition with cancer cells for limiting nutrients. Here we used PET tracers to measure access and uptake of glucose and glutamine by specific cell subsets in the TME. Surprisingly, myeloid cells had the greatest capacity to uptake glucose in vivo, followed by T cells and cancer cells across a range of cancer models. Cancer cells, in contrast, demonstrated high glutamine uptake. This distinct nutrient partitioning was cell intrinsically programmed through mTORC1 signaling and glucose and glutamine-related gene expression. Inhibiting glutamine uptake enhanced glucose uptake across tumor resident cell types, suggesting that glutamine metabolism suppresses glucose uptake without glucose being limiting in the TME. Thus, cell intrinsic programs dictate the preferential immune and cancer cell acquisition of glucose and glutamine. Cell selective partitioning of these nutrients may be exploited to develop therapies and imaging strategies to enhance or monitor the metabolism and activities of specific cell populations in the TME.

Cell-programmed nutrient partitioning in the tumour microenvironment

Cancer cells characteristically consume glucose through Warburg metabolism1, a process that forms the basis of tumour imaging by positron emission tomography (PET). Tumour-infiltrating immune cells also rely on glucose, and impaired immune cell metabolism in the tumour microenvironment (TME) contributes to immune evasion by tumour cells2-4. However, whether the metabolism of immune cells is dysregulated in the TME by cell-intrinsic programs or by competition with cancer cells for limited nutrients remains unclear. Here we used PET tracers to measure the access to and uptake of glucose and glutamine by specific cell subsets in the TME. Notably, myeloid cells had the greatest capacity to take up intratumoral glucose, followed by T cells and cancer cells, across a range of cancer models. By contrast, cancer cells showed the highest uptake of glutamine. This distinct nutrient partitioning was programmed in a cell-intrinsic manner through mTORC1 signalling and the expression of genes related to the metabolism of glucose and glutamine. Inhibiting glutamine uptake enhanced glucose uptake across tumour-resident cell types, showing that glutamine metabolism suppresses glucose uptake without glucose being a limiting factor in the TME. Thus, cell-intrinsic programs drive the preferential acquisition of glucose and glutamine by immune and cancer cells, respectively. Cell-selective partitioning of these nutrients could be exploited to develop therapies and imaging strategies to enhance or monitor the metabolic programs and activities of specific cell populations in the TME.

DNA hypomethylation promotes transposable element expression and activation of immune signaling in renal cell cancer

Recently, we reported that expression of endogenous retroviruses (ERVs) is associated with response to immune checkpoint blockade (ICB) in renal cell carcinoma (RCC). We show that decitabine, a DNA hypomethylating agent, activates transposable element (TE) expression (LINE1 and ERVs ERV3-2 and ERV4700) and antiviral signaling to potentially enhance response to ICB in kidney cancer cell lines and primary cells. KO of RIGI and MDA5 dsRNA sensors attenuated activation of antiviral signaling associated with DNA hypomethylation, and RIGI and MDA5 IPs showed increased ERV binding with decitabine treatment. Bioinformatic analyses showed the decitabine-induced signature could be associated with increased immune infiltration and response to ICB. Cytokine secretion induced by decitabine could modestly improve T cell activation and robustly enhanced T cell migration. In a small retrospective cohort of metastatic clear cell RCC (ccRCC) patients treated with anti-PD1/PDL1 blockade, activation of some antiviral genes was significantly higher in responders. Thus, we identified a potential strategy to induce TE expression through inhibition of DNA methylation in modulating T cell action via regulation of the innate antiviral pathway.