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Loeb, L. A.

Publications and source records attributed to Loeb, L. A..

3 recordsLinked to original sources

A High-Resolution Landscape of Mutations in the BCL6 Super-Enhancer in Normal Human B-Cells

The super-enhancers (SE) of lineage-specific genes in B-cells are off-target sites of somatic hypermutation. However, the inability to detect sufficient numbers of mutations in normal human B-cells has precluded the generation of a high-resolution mutational landscape of SEs. Here, we captured and sequenced 12 B-cell SEs at single-nucleotide resolution from ten healthy individuals across diverse ethnicities. We detected a total of [~]9000 subclonal mutations (allele frequencies <0.1%); of these, [~]8000 are present in the BCL6 SE alone. Within the BCL6 SE, we identified three regions of clustered mutations where the mutation frequency is [~]7X10-4. Mutational spectra show a predominance of C>T/G>A and A>G/T>C substitutions, consistent with the activities of activation-induced-cytidine deaminase (AID) and the A-T mutator, DNA Polymerase {eta}, respectively, in mutagenesis in normal B-cells. Analyses of mutational signatures further corroborate the participation of these factors in this process. Single base substitution signature SBS85, SBS37, and SBS39 were found in the BCL6 SE. While SBS85 is a denoted signature of AID in lymphoid cells, the etiologies of SBS37 and SBS39 are still unknown. Our analysis suggests the contribution of error-prone DNA polymerases to the latter signatures. The high-resolution mutation landscape has enabled accurate profiling of subclonal mutations in B-cell SEs in normal individuals. By virtue of the fact that subclonal SE mutations are clonally expanded in B-cell lymphomas, our studies also offer the potential for early detection of neoplastic alterations.\n\nSignificanceWe used Duplex Sequencing to detect low-frequency mutations in the BCL6 super-enhancer locus in normal human B-cells. The landscape of pre-existing mutations is remarkably conserved across different ethnicities and reveals clustered mutational hotspots that correlate with reported sites of clonal mutations and translocation breakpoints in human B-cell lymphomas. This high-resolution genomic landscape revealed by Duplex Sequencing offers accurate and thorough profiling of low frequency, pre-existing mutations in normal individuals, and the potential for early detection of neoplastic alterations.

genomics↗

Unexpectedly High Subclonal Mutational Diversity in Human Colorectal Cancer and Its Significance

Human colorectal cancers (CRC) contain both clonal and subclonal mutations. Clonal mutations are positively selected, present in most cells and drive malignant progression. Subclonal mutations are randomly dispersed throughout the genome; they provide a vast reservoir of mutant cells that can expand, repopulate the tumor and result in the rapid emergence of resistance, as well as being a major contributor to tumor heterogeneity. Here, we apply Duplex Sequencing (DS) methodology to quantify subclonal mutations in CRC tumor with unprecedented depth (104) and accuracy (<10-7). We measured mutation frequencies in genes encoding replicative DNA polymerases and in genes frequently mutated in CRC, and found an unexpectedly high effective mutation rate, 7.1 x 10-7. The curve of subclonal mutation accumulation as a function of sequencing depth, using DNA obtained from five different tumors, is in accord with a neutral model of tumor evolution. We present a new theoretical approach to model neutral evolution independent of the infinite sites assumption (which states that a particular mutation arises only in one tumor cell at any given time). Our analysis indicates that the infinite sites assumption is not applicable once the number of tumor cells exceeds the reciprocal of the mutation rate, a circumstance relevant to even the smallest clinically diagnosable tumor. Our methods allow accurate estimation of the total mutation burden in clinical cancers. Our results indicate that no DNA locus is wild type in every malignant cell within a tumor at the time of diagnosis (probability of all cells wild type = 10-308).\n\nSignificance StatementCancers evolve many mutations. Clonal mutations are selected early. Subsequent evolution occurs in a branching fashion, possibly without selection (\"neutral evolution\"). Rarer mutations occur later on smaller branches of the evolutionary tree. Using a DNA sequencing method, duplex sequencing, with unprecedented accuracy and sensitivity, we quantified very rare unique subclonal mutations in diagnostic specimens from five human colorectal cancers. Rarer subclones probe later evolutionary timepoints than previously possible. We confirm neutral evolution at later times and find many more subclonal mutations than expected. A novel theoretical method allowed us to extrapolate further forward in time to diagnosis. At diagnosis, every base in DNA is mutated in at least one cancer cell. In particular any therapy resistance mutation would be present.

cancer biology↗

Ultra-sensitive sequencing for cancer detection reveals progressive clonal selection in normal tissue over a century of human lifespan

High accuracy next-generation DNA sequencing promises a paradigm shift in early cancer detection by enabling the identification of mutant cancer molecules in minimally-invasive body fluid samples. We demonstrate 80% sensitivity for ovarian cancer detection using ultra-accurate Duplex Sequencing to identify TP53 mutations in uterine lavage. However, in addition to tumor DNA, we also detect low frequency TP53 mutations in nearly all lavages from women with and without cancer. These mutations increase with age and share the selection traits of clonal TP53 mutations commonly found in human tumors. We show that low frequency TP53 mutations exist in multiple healthy tissues, from newborn to centenarian, and progressively increase in abundance and pathogenicity with older age across tissue types. Our results illustrate that subclonal cancer evolutionary processes are a ubiquitous part of normal human aging and great care must be taken to distinguish tumor-derived, from age-associated mutations in high sensitivity clinical cancer diagnostics.

cancer biology↗