CDK12 Loss Promotes Prostate Cancer Development While Exposing Vulnerabilities to Paralog-Based Synthetic Lethality.

Biallelic loss of cyclin-dependent kinase 12 (CDK12) defines a unique molecular subtype of metastatic castration-resistant prostate cancer (mCRPC). It remains unclear, however, whether CDK12 loss per se is sufficient to drive prostate cancer development-either alone, or in the context of other genetic alterations-and whether CDK12-mutant tumors exhibit sensitivity to specific pharmacotherapies. Here, we demonstrate that tissue-specific Cdk12 ablation is sufficient to induce preneoplastic lesions and robust T cell infiltration in the mouse prostate. Allograft-based CRISPR screening demonstrated that Cdk12 loss is positively associated with Trp53 inactivation but negatively associated with Pten inactivation-akin to what is observed in human mCRPC. Consistent with this, ablation of Cdk12 in prostate organoids with concurrent Trp53 loss promotes their proliferation and ability to form tumors in mice, while Cdk12 knockout in the Pten-null prostate cancer mouse model abrogates tumor growth. Bigenic Cdk12 and Trp53 loss allografts represent a new syngeneic model for the study of androgen receptor (AR)-positive, luminal prostate cancer. Notably, Cdk12/Trp53 loss prostate tumors are sensitive to immune checkpoint blockade. Cdk12-null organoids (either with or without Trp53 co-ablation) and patient-derived xenografts from tumors with CDK12 inactivation are highly sensitive to inhibition or degradation of its paralog kinase, CDK13. Together, these data identify CDK12 as a bona fide tumor suppressor gene with impact on tumor progression and lends support to paralog-based synthetic lethality as a promising strategy for treating CDK12-mutant mCRPC.

Fmo5 plays a sex-specific role in goblet cell maturation and mucus barrier formation.

The intestine plays a key role in metabolism, nutrient and water absorption, and provides both physical and immunological defense against dietary and luminal antigens. The protective mucus lining in the intestine is a critical component of intestinal barrier function that when compromised, can lead to dysfunctional intestinal barriers that are a defining characteristic of inflammatory bowel disease (IBD), among other intestinal diseases. Here, we define a new role for the flavin-containing monooxygenase family of enzymes in maintaining a healthy intestinal epithelium. In nematodes, we find that Cefmo-2 is necessary and sufficient for proper intestinal barrier function, intestinal actin expression, and is induced by intestinal damage. In mice, we utilize an intestine-specific, inducible knockout model of the prevalent gut Fmo (Fmo5) and find striking phenotypes within two weeks of knockout. These phenotypes include sex-dependent changes in colon epithelial histology, goblet cell localization and maturation factors, and mucus barrier formation. Each of these changes are significantly more severe in female mice, plausibly mirroring differences observed in some types of IBD in humans. Looking further at these phenotypes, we find increased protein folding stress in Fmo5 knockout animals and successfully rescue the severe female phenotype with addition of a chemical ER chaperone. Together, our results identify a new role for Fmo5 in the mammalian intestine and support a key role for Fmo5 in maintenance of ER/protein homeostasis and proper mucus barrier formation.

Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank.

Insulin resistance (IR) is a well-established risk factor for metabolic disease. The ratio of triglycerides to high-density lipoprotein cholesterol (TG:HDL-C) is a surrogate marker of IR. We conducted a genome-wide association study of the TG:HDL-C ratio in 402,398 Europeans within the UK Biobank. We identified 369 independent SNPs, of which 114 had a false discovery rate-adjusted P value < 0.05 in other genome-wide studies of IR making them high-confidence IR-associated loci. Seventy-two of these 114 loci have not been previously associated with IR. These 114 loci cluster into five groups upon phenome-wide analysis and are enriched for candidate genes important in insulin signaling, adipocyte physiology and protein metabolism. We created a polygenic-risk score from the high-confidence IR-associated loci using 51,550 European individuals in the Michigan Genomics Initiative. We identified associations with diabetes, hyperglyceridemia, hypertension, nonalcoholic fatty liver disease and ischemic heart disease. Collectively, this study provides insight into the genes, pathways, tissues and subtypes critical in IR.

Role of IL4 and GMCSF in Predicting Survival in Esophageal Cancer.

BACKGROUND: Esophageal cancer (EC) originates in the setting of chronic inflammation. Although previous studies have sought to understand the role of inflammatory signaling in EC, the effect of these immunologic changes on patient outcomes remains understudied. This study's objective was to identify relationships between cytokine levels and prognosis in a mixed cohort of esophageal adenocarcinoma (EAC) and esophageal squamous cell carcinoma (ESCC) patients. STUDY DESIGN: A total of 37 serum cytokines were profiled at the time of resection using multiplex ELISA in 47 patients (42 esophageal adenocarcinoma, 5 esophageal squamous cell carcinoma). Cytokine levels were median-binarized and assessed using Cox regression models. Findings were validated at the RNA level using The Cancer Genome Atlas EC cohort (81 esophageal adenocarcinoma, 81 esophageal squamous cell carcinoma). RESULTS: Univariable analysis revealed high serum interleukin 4 (IL4) and granulocyte-macrophage colony-stimulating factor (GMCSF) were negatively associated with overall survival (p = 0.046, p = 0.040). Multivariable analysis determined both high serum IL4 or high serum GMCSF were negatively associated with survival independent of important clinical factors (hazard ratio [HR] 7.55, p < 0.001; HR 5.24, p = 0.001). These findings were validated at the RNA level in The Cancer Genome Atlas EC cohort, where multivariable analysis identified high IL4 expression, high CSF2 expression (encodes GMCSF), and advanced pathologic stage as independent negative predictors of survival when controlled for clinical factors (HR 2.35, p = 0.012; HR 1.97, p = 0.040). CONCLUSIONS: These results show that high IL4/GMCSF levels are negatively associated with survival in EC. These relationships are independent of pathologic stage and are identified across modalities, histologic subtypes, and the presence/absence of neoadjuvant therapy.

Microenvironmental ammonia enhances T cell exhaustion in colorectal cancer.

Effective therapies are lacking for patients with advanced colorectal cancer (CRC). The CRC tumor microenvironment has elevated metabolic waste products due to altered metabolism and proximity to the microbiota. The role of metabolite waste in tumor development, progression, and treatment resistance is unclear. We generated an autochthonous metastatic mouse model of CRC and used unbiased multi-omic analyses to reveal a robust accumulation of tumoral ammonia. The high ammonia levels induce T cell metabolic reprogramming, increase exhaustion, and decrease proliferation. CRC patients have increased serum ammonia, and the ammonia-related gene signature correlates with altered T cell response, adverse patient outcomes, and lack of response to immune checkpoint blockade. We demonstrate that enhancing ammonia clearance reactivates T cells, decreases tumor growth, and extends survival. Moreover, decreasing tumor-associated ammonia enhances anti-PD-L1 efficacy. These findings indicate that enhancing ammonia detoxification can reactivate T cells, highlighting a new approach to enhance the efficacy of immunotherapies.

Single-cell RNA-sequencing identifies anti-cancer immune phenotypes in the early lung metastatic niche during breast cancer.

Microenvironmental changes in the early metastatic niche may be exploited to identify therapeutic targets to inhibit secondary tumor formation and improve disease outcomes. We dissected the developing lung metastatic niche in a model of metastatic, triple-negative breast cancer using single-cell RNA-sequencing. Lungs were extracted from mice at 7-, 14-, or 21 days after tumor inoculation corresponding to the pre-metastatic, micro-metastatic, and metastatic niche, respectively. The progression of the metastatic niche was marked by an increase in neutrophil infiltration (5% of cells at day 0 to 81% of cells at day 21) and signaling pathways corresponding to the hallmarks of cancer. Importantly, the pre-metastatic and early metastatic niche were composed of immune cells with an anti-cancer phenotype not traditionally associated with metastatic disease. As expected, the metastatic niche exhibited pro-cancer phenotypes. The transition from anti-cancer to pro-cancer phenotypes was directly associated with neutrophil and monocyte behaviors at these time points. Predicted metabolic, transcription factor, and receptor-ligand signaling suggested that changes in the neutrophils likely induced the transitions in the other immune cells. Conditioned medium generated by cells extracted from the pre-metastatic niche successfully inhibited tumor cell proliferation and migration in vitro and the in vivo depletion of pre-metastatic neutrophils and monocytes worsened survival outcomes, thus validating the anti-cancer phenotype of the developing niche. Genes associated with the early anti-cancer response could act as biomarkers that could serve as targets for the treatment of early metastatic disease. Such therapies have the potential to revolutionize clinical outcomes in metastatic breast cancer.

Survival Analyses: A Statistical Review for Surgeons.

Survival analyses are a group of statistical principles applied to accurately analyze the length of time until a previously defined event occurs. Increasing survival is the underlying goal for most medical interventions, and is particularly critical in oncology-related surgical fields. In order to justify the application of a novel surgical intervention or other cancer therapy, one must first definitively show improvements in patient survival compared to the existing method of treatment. In order to definitively recommend one treatment option over another, it is paramount to design a study that addresses and minimizes sources of bias where possible. This can be challenging due to numerous factors including selecting an appropriate study design, dealing with censored data, obtaining an appropriate sample size, and performing robust statistical analysis. It is critical for surgeons in every stage of training to be able to both understand and apply these methods in order to improve patient care. In this review, we discuss approaches to design survival studies, relevant errors/biases, and how to account for them and cover several field-standard methods to analyze survival data including Kaplan-Meier plots, the log-rank test, and Cox Proportional Hazards Models. Importantly, this is accompanied by easily repurposable examples of how to implement these analyses in both R and GraphPad Prism using a publicly available survival dataset. This review will assist surgeons of all training levels in the design and analysis of survival studies and serve as a starting point for advancing patient care.

Reuterin in the healthy gut microbiome suppresses colorectal cancer growth through altering redox balance.

Microbial dysbiosis is a colorectal cancer (CRC) hallmark and contributes to inflammation, tumor growth, and therapy response. Gut microbes signal via metabolites, but how the metabolites impact CRC is largely unknown. We interrogated fecal metabolites associated with mouse models of colon tumorigenesis with varying mutational load. We find that microbial metabolites from healthy mice or humans are growth-repressive, and this response is attenuated in mice and patients with CRC. Microbial profiling reveals that Lactobacillus reuteri and its metabolite, reuterin, are downregulated in mouse and human CRC. Reuterin alters redox balance, and reduces proliferation and survival in colon cancer cells. Reuterin induces selective protein oxidation and inhibits ribosomal biogenesis and protein translation. Exogenous Lactobacillus reuteri restricts colon tumor growth, increases tumor reactive oxygen species, and decreases protein translation in vivo. Our findings indicate that a healthy microbiome and specifically, Lactobacillus reuteri, is protective against CRC through microbial metabolite exchange.