Clinicopathological Profiles Associated with Discordant RAS Mutational Status between Liquid and Tissue Biopsies in a Real-World Cohort of Metastatic Colorectal Cancer.

We aimed to identify common mCRC profiles associated with a discordant mutational status of RAS between the standard of care (SoC) tumour tissue tests and ctDNA tests to understand ctDNA detection and improve treatment responses. This was a multicentre, retrospective and prospective study. A total of 366 Spanish mCRC patients were independently recruited. BEAMing ddPCR technology was employed to detect ctDNA RAS mutations, and logistic regression analyses were performed to investigate clinicopathological factors associated with discordance. The highest concordance ratios were observed in profiles with multiple metastatic sites when the liver was present (89.7%; 95% CI 84.8-93.2), profiles with synchronous disease without primary tumour resection (90.2%; 95% CI 83.6-94.3) and profiles with mCRC originating in the left colon (91.3%; 95% CI 85.0-95.0). Metachronous disease originating in the right colon (OR = 6.1; 95% CI 1.7-26.5; p-value = 0.006) or rectum (OR = 5.0; 95% CI 1.5-17.8; p-value = 0.009) showed the highest probability of discrepancies. Primary tumour resection and a higher frequency of single metastases in the peritoneum or lungs in these patients were associated with reduced plasmatic mutation allele fractions (MAFs) and an increased probability of showing false-negative genotypes. Additional testing of patients with mCRC originating in the right colon or rectum with a single non-mutated ctDNA test is advised before the choice of therapy.

Evaluation of a Targeted Next-Generation Sequencing Panel for the Non-Invasive Detection of Variants in Circulating DNA of Colorectal Cancer.

Molecular profiling of circulating cell-free DNA (cfDNA) has shown utility for the management of colorectal cancer (CRC). TruSight Tumor 170 (TST170) is a next-generation sequencing (NGS) panel that covers 170 cancer-related genes, including KRAS, which is a key driver gene in CRC. We evaluated the capacity of TST170 to detect gene variants in cfDNA from a retrospective cohort of 20 metastatic CRC patients with known KRAS variants in tumor tissue and in cfDNA previously analyzed by pyrosequencing and BEAMing, respectively. The cfDNA of most of the patients (95%) was successfully sequenced. We frequently detected variants with clinical significance in KRAS (79%, 15/19) and PIK3CA (26%, 5/19) genes. Variants with potential clinical significance were also identified in another 27 cancer genes, such as APC. The type of KRAS variant detected in cfDNA by TST170 showed high concordance with those detected in tumor tissue (77%), and very high concordance with cfDNA analyzed by BEAMing (94%). The variant allele fractions for KRAS obtained in cfDNA by TST170 and BEAMing correlated strongly. This proof-of-principle study indicates that targeted NGS analysis of cfDNA with TST170 could be useful for non-invasive detection of gene variants in metastatic CRC patients, providing an assay that could be easily implemented for detecting somatic alterations in the clinic.

STATegra, a comprehensive multi-omics dataset of B-cell differentiation in mouse.

Multi-omics approaches use a diversity of high-throughput technologies to profile the different molecular layers of living cells. Ideally, the integration of this information should result in comprehensive systems models of cellular physiology and regulation. However, most multi-omics projects still include a limited number of molecular assays and there have been very few multi-omic studies that evaluate dynamic processes such as cellular growth, development and adaptation. Hence, we lack formal analysis methods and comprehensive multi-omics datasets that can be leveraged to develop true multi-layered models for dynamic cellular systems. Here we present the STATegra multi-omics dataset that combines measurements from up to 10 different omics technologies applied to the same biological system, namely the well-studied mouse pre-B-cell differentiation. STATegra includes high-throughput measurements of chromatin structure, gene expression, proteomics and metabolomics, and it is complemented with single-cell data. To our knowledge, the STATegra collection is the most diverse multi-omics dataset describing a dynamic biological system.

Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiation.

The differentiation of self-renewing progenitor cells requires not only the regulation of lineage- and developmental stage-specific genes but also the coordinated adaptation of housekeeping functions from a metabolically active, proliferative state toward quiescence. How metabolic and cell-cycle states are coordinated with the regulation of cell type-specific genes is an important question, because dissociation between differentiation, cell cycle, and metabolic states is a hallmark of cancer. Here, we use a model system to systematically identify key transcriptional regulators of Ikaros-dependent B cell-progenitor differentiation. We find that the coordinated regulation of housekeeping functions and tissue-specific gene expression requires a feedforward circuit whereby Ikaros down-regulates the expression of Myc. Our findings show how coordination between differentiation and housekeeping states can be achieved by interconnected regulators. Similar principles likely coordinate differentiation and housekeeping functions during progenitor cell differentiation in other cell lineages.

Direct interaction of Ikaros and Foxp1 modulates expression of the G protein-coupled receptor G2A in B-lymphocytes and acute lymphoblastic leukemia.

Ikaros and Foxp1 are transcription factors that play key roles in normal lymphopoiesis and lymphoid malignancies. We describe a novel physical and functional interaction between the proteins, which requires the central zinc finger domain of Ikaros. The Ikaros-Foxp1 interaction is abolished by deletion of this region, which corresponds to the IK6 isoform that is commonly associated with high-risk acute lymphoblastic leukemia (ALL). We also identify the Gpr132 gene, which encodes the orphan G protein-coupled receptor G2A, as a novel target for Foxp1. Increased expression of Foxp1 enhanced Gpr132 transcription and caused cell cycle changes, including G2 arrest. Co-expression of wild-type Ikaros, but not IK6, displaced Foxp1 binding from the Gpr132 gene, reversed the increase in Gpr132 expression and inhibited G2 arrest. Analysis of primary ALL samples revealed a significant increase in GPR132 expression in IKZF1-deleted BCR-ABL negative patients, suggesting that levels of wild-type Ikaros may influence the regulation of G2A in B-ALL. Our results reveal a novel effect of Ikaros haploinsufficiency on Foxp1 functioning, and identify G2A as a potential modulator of the cell cycle in Ikaros-deleted B-ALL.

Genome-wide identification of Ikaros targets elucidates its contribution to mouse B-cell lineage specification and pre-B-cell differentiation.

Ikaros family DNA-binding proteins are critical regulators of B-cell development. Because the current knowledge of Ikaros targets in B-cell progenitors is limited, we have identified genes that are bound and regulated by Ikaros in pre-B cells. To elucidate the role of Ikaros in B-cell lineage specification and differentiation, we analyzed the differential expression of Ikaros targets during the progression of multipotent to lymphoid-restricted progenitors, B- and T-cell lineage specification, and progression along the B-cell lineage. Ikaros targets accounted for one-half of all genes up-regulated during B-cell lineage specification in vivo, explaining the essential role of Ikaros in this process. Expression of the Ikaros paralogs Ikzf1 and Ikzf3 increases incrementally during B-cell progenitor differentiation, and, remarkably, inducible Ikaros expression in cycling pre-B cells was sufficient to drive transcriptional changes resembling the differentiation of cycling to resting pre-Bcells in vivo. The data suggest that Ikaros transcription factor dosage drives the progression of progenitors along a predetermined lineage by regulating multiple targets in key pathways, including pre-B­cell receptor signaling, cell cycle progression, and lymphocyte receptor rearrangement.Our approachmay be of general use to map the contribution of transcription factors to cell lineage commitment and differentiation.

SUMO4 and MAP3K7IP2 single nucleotide polymorphisms and susceptibility to rheumatoid arthritis.

OBJECTIVE: To explore the role of single nuclear polymorphisms (SNP) in 2 candidate genes, SUMO4 and MAP3K7IP2, in susceptibility to rheumatoid arthritis (RA). METHODS: Two cohorts from different Spanish towns totalling 635 patients with RA and 826 controls were studied. Six SNP were genotyped by matrix assisted laser desorption-ionization time-of-flight (MALDI-TOF) with the MassARRAY SNP genotyping system. RESULTS: We found no association with susceptibility to RA for any of the SNP including a previously described functional variant in the SUMO4 gene (163A-->G). RA susceptibility was independent of the haplotypes defined by the 6 SNP and there was also no association with clinical features of RA. Conclusion. SUMO4 and MAP3K7IP2 SNP did not significantly influence predisposition to and features of RA, in contrast to previous genetic and functional evidence that suggested their involvement.

Association of PDCD1 with susceptibility to systemic lupus erythematosus: evidence of population-specific effects.

OBJECTIVE: The A allele of the PD1.3 single-nucleotide polymorphism (SNP) on the programmed cell death gene PDCD1 was markedly more frequent in patients with systemic lupus erythematosus (SLE) than in unaffected controls in a recent study involving large sets of Swedish, European American, and Mexican families. This study sought to determine the role of PDCD1 in susceptibility to SLE in the Spanish population. METHODS: Seven PDCD1 SNPs were studied in 518 SLE patients and 800 healthy control subjects who had been recruited in 5 distant towns spanning continental Spain. Patients and controls were of Spanish ancestry. The diagnosis of SLE was in accordance with the American College of Rheumatology updated classification criteria. RESULTS: The A allele of the PD1.3 polymorphism was significantly less frequent in Spanish female patients with SLE than in Spanish female controls (9.0% versus 13.0%, odds ratio 0.67, 95% confidence interval 0.50-0.89). This difference was consistent across the 5 sets of samples grouped by town of recruitment. The other PDCD1 SNPs were not associated with SLE susceptibility. The haplotype structure of PDCD1 in the Spanish controls was different from that reported in other healthy control populations. CONCLUSION: Our results confirm the association of PDCD1 with susceptibility to SLE, but the findings show a lack of involvement of the PD1.3 SNP, which is contrary to the role of the PD1.3 A allele observed previously. These contradictory results probably reflect population differences in the haplotype structure of the PDCD1 locus. More research focusing on new polymorphisms and identifying associations in other populations will be needed to clarify the role of PDCD1 in SLE susceptibility.

Lack of association of ankylosing spondylitis with the most common NOD2 susceptibility alleles to Crohn's disease.

OBJECTIVE: To investigate whether the 3 most common mutations in the NOD2 gene that confer susceptibility to Crohn's disease (CD) are also associated with ankylosing spondylitis (AS). METHODS: DNA from 112 patients with AS and 168 controls of homogenous Spanish ancestry were studied. The frequencies of the pathogenic alleles of NOD2 (3020insC, 2722G>C, and 2104C>T) were determined by analysis of the melting curves after hybridization with FRET probes on a Light Cycler real-time polymerase chain reaction (PCR) system. Results. NOD2 allelic frequencies in controls (3020insC, 0.009; 2722G>C, 0.009; 2104C>T, 0.042) did not significantly differ from patients with AS (3020insC, 0.009; 2722G>C, 0.004; 2104C>T, 0.031). CONCLUSION: The 3 most common CD NOD2 mutations do not contribute to disease susceptibility to AS, and therefore do not explain the susceptibility locus for AS in chromosome 16q.