Subtyping sub-Saharan esophageal squamous cell carcinoma by comprehensive molecular analysis

Esophageal squamous cell carcinoma (ESCC) is endemic in regions of sub-Saharan Africa (SSA), where it is the third most common cancer. Here, we describe whole-exome tumor/normal sequencing and RNA transcriptomic analysis of 59 patients with ESCC in Malawi. We observed similar genetic aberrations as reported in Asian and North American cohorts, including mutations of TP53, CDKN2A, NFE2L2, CHEK2, NOTCH1, FAT1, and FBXW7. Analyses for nonhuman sequences did not reveal evidence for infection with HPV or other occult pathogens. Mutational signature analysis revealed common signatures associated with aging, cytidine deaminase activity (APOBEC), and a third signature of unknown origin, but signatures of inhaled tobacco use, aflatoxin and mismatch repair were notably absent. Based on RNA expression analysis, ESCC could be divided into 3 distinct subtypes, which were distinguished by their expression of cell cycle and neural transcripts. This study demonstrates discrete subtypes of ESCC in SSA, and suggests that the endemic nature of this disease reflects exposure to a carcinogen other than tobacco and oncogenic viruses

Supplementary Material for: Circulating tumor DNA testing overcomes limitations of comprehensive genomic profiling from tumor tissue

The “liquid biopsy” is an established technique for examining circulating tumor DNA (ctDNA) from a routine blood draw and detecting actionable biomarkers. Nonetheless, ctDNA testing is rarely utilized for patients with newly diagnosed metastatic colorectal cancer (CRC). We report a case in which ctDNA testing uncovered an actionable biomarker that was not detected by comprehensive genomic profiling of tumor tissue. An 81-year-old woman with a remote history of non-Hodgkin’s lymphoma presented with primary masses in the ascending colon and sigmoid colon. The ascending colon and sigmoid colon tumors were classified as microsatellite stable (MSS) and mismatch repair proficient (pMMR), and both ctDNA and tissue next-generation sequencing (NGS) from the ascending colon mass were ordered. Because tissue NGS results indicated that the ascending colon tumor was MSS, palliative 5-fluorouracil, leucovorin, and oxaliplatin (FOLFOX) chemotherapy was started. However, the ctDNA NGS results that arrived after the start of FOLFOX found high microsatellite instability (MSI-H) and mismatch repair deficient (dMMR) disease with a serine/threonine-protein kinase B-Raf (BRAFV600E) mutation. To treat both her MSS/pMMR ascending colon and sigmoid colon tumors and MSI-H/dMMR metastatic disease, the immunotherapy nivolumab was added to FOLFOX. After 8 months of combined nivolumab and chemotherapy, the patient’s metastatic disease had a complete clinical response. This case highlights the complementary role of ctDNA testing for biomarker identification. By performing simultaneous ctDNA testing at the time of diagnosis, an actionable biomarker was discovered that significantly altered this patient’s prognosis and treatment options. Orthogonal testing of key molecular alterations offers significant advantages for identifying actionable biomarkers and improving management of metastatic CRC

IDBA- A Practical Iterative de Bruijn Graph De Novo Assembler

Abstract. The de Bruijn graph assembly approach breaks reads into k-mers before assembling them into contigs. The string graph approach forms contigs by connecting two reads with k or more overlapping nucleotides. Both approaches face the problem of false-positive vertices from erroneous reads, missing vertices due to non-uniform coverage and branching due to erroneous reads and repeat regions. A proper choice of k is crucial but for any single k there is always a trade-off: a small k favors the situation of erroneous reads and non-uniform coverage, and a large k favors short repeat regions. We propose an iterative de Bruijn graph approach iterating from small to large k capturing merits of all values in between. With real and simulated data, our IDBA algorithm is superior to all existing algorithms by constructing longer contigs with similar accuracy and using less memory. The running time of IDBA is comparable with existing algorithms. Availability: IDBA is available a

Evolution of genes and genomes on the Drosophila phylogeny

Comparative analysis of multiple genomes in a phylogenetic framework dramatically improves the precision and sensitivity of evolutionary inference, producing more robust results than single-genome analyses can provide. The genomes of 12 Drosophila species, ten of which are presented here for the first time (sechellia, simulans, yakuba, erecta, ananassae, persimilis, willistoni, mojavensis, virilis and grimshawi), illustrate how rates and patterns of sequence divergence across taxa can illuminate evolutionary processes on a genomic scale. These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution. Despite remarkable similarities among these Drosophila species, we identified many putatively non-neutral changes in protein-coding genes, non-coding RNA genes, and cis-regulatory regions. These may prove to underlie differences in the ecology and behaviour of these diverse species