Assessment of long non-coding RNA expression reveals novel mediators of the lung tumour immune response.

The tumour immune microenvironment is a crucial mediator of lung tumourigenesis, and characterizing the immune landscape of patient tumours may guide immunotherapy treatment regimens and uncover novel intervention points. We sought to identify the landscape of tumour-infiltrating immune cells in the context of long non-coding RNA (lncRNAs), known regulators of gene expression. We examined the lncRNA profiles of lung adenocarcinoma (LUAD) tumours by interrogating RNA sequencing data from microdissected and non-microdissected samples (BCCRC and TCGA). Subsequently, analysis of single-cell RNA sequencing data from lung tumours and flow-sorted healthy peripheral blood mononuclear cells identified lncRNAs in immune cells, highlighting their biological and prognostic relevance. We discovered lncRNA expression patterns indicative of regulatory relationships with immune-related protein-coding genes, including the relationship between AC008750.1 and NKG7 in NK cells. Activation of NK cells in vitro was sufficient to induce AC008750.1 expression. Finally, siRNA-mediated knockdown of AC008750.1 significantly impaired both the expression of NKG7 and the anti-tumour capacity of NK cells. We present an atlas of cancer-cell extrinsic immune cell-expressed lncRNAs, in vitro evidence for a functional role of lncRNAs in anti-tumour immune activity, which upon further exploration may reveal novel clinical utility as markers of immune infiltration.

Assessment of the clinical relevance of 17q25.3 copy number and three-dimensional telomere organization in non-small lung cancer patients.

PURPOSE: To identify potential biomarkers that may provide new therapeutic targets or prognostic indicators for non-small cell lung cancer (NSCLC), we investigated the three-dimensional (3D) organization of telomeres and cytoband 17q25.3 copy number in NSCLC tissues. METHODS: NSCLC paraffin-embedded tissue specimens from 18 patients were assessed for 3D telomere organization by 3D nuclear telomere imaging followed by quantitative analysis. Patients were stratified by smoking, histology, and EGFR status. Cytoband 17q25.3 was examined by fluorescent in situ hybridization. Data from comparative genomic hybridization and/or single nucleotide polymorphism arrays for cytoband 17q25.3 were obtained and correlated with Q-FISH and 3D telomere results. RESULTS: 3D telomeric profiling demonstrated that the smokers, EGFR-negative, and squamous cell carcinoma subgroups tended to have higher numbers of lower-intensity telomeres, indicative of shorter telomeres, as well as higher numbers of telomeric aggregations compared to non-smokers, EGFR-positive, and adenocarcinomas, respectively. Gains of cytoband 17q25.3 in conjunction with an increase in the control region 17p11.2 were observed in 7 of 18 (38.9 %) patients, reflecting a gain of chromosome 17. Clonal gains of cytoband 17q25.3 were observed in 11 of 18 (61 %) patients, highlighting a potential biological significance for the genes in this region in NSCLC tumourigenesis. CONCLUSIONS: The 3D telomere profiles may differentiate NSCLC patients with different histologies, EGFR, and smoking statuses, rendering them a potential biomarker for distinguishing these clinically relevant histological and molecular subtypes of lung cancer. Highly frequent clonal gain of cytoband 17q25.3 was also demonstrated, suggesting an important biological role for the genes in this region.

Copy number alterations at polymorphic loci may be acquired somatically in patients with myelodysplastic syndromes.

Loss of genomic integrity is thought to be one of the underlying causes of myelodysplastic syndromes (MDS). However, it is unclear whether changes in copy number at loci that are common sites of copy number polymorphisms play a pathogenic role. Here we show that copy number changes in the MDS clone that occur at polymorphic loci are frequently somatic alterations rather than constitutional variants, and the extent of copy number changes at polymorphic loci is increased in CD34(+) cells of MDS patients compared to age-matched controls. This study suggests a potential pathophysiological role for copy number alterations at polymorphic loci in patients with MDS, and highlights the need for somatic control tissues for each patient studied in high-resolution genome-wide investigations.

Resolving the resolution of array CGH.

Many recent technologies have been designed to supplant conventional metaphase CGH technology with the goal of refining the description of segmental copy number status throughout the genome. However, the emergence of new technologies has led to confusion as to how to describe adequately the capabilities of each array platform. The design of a CGH array can incorporate a uniform or a highly variable element distribution. This can lead to bias in the reporting of average or median resolutions, making it difficult to provide a fair comparison of platforms. In this report, we propose a new definition of resolution for array CGH technology, termed "functional resolution," that incorporates the uniformity of element spacing on the array, as well as the sensitivity of each platform to single-copy alterations. Calculation of these metrics is automated through the development of a Java-based application, "ResCalc," which is applicable to any array CGH platform.

Integrating copy number polymorphisms into array CGH analysis using a robust HMM.

MOTIVATION: Array comparative genomic hybridization (aCGH) is a pervasive technique used to identify chromosomal aberrations in human diseases, including cancer. Aberrations are defined as regions of increased or decreased DNA copy number, relative to a normal sample. Accurately identifying the locations of these aberrations has many important medical applications. Unfortunately, the observed copy number changes are often corrupted by various sources of noise, making the boundaries hard to detect. One popular current technique uses hidden Markov models (HMMs) to divide the signal into regions of constant copy number called segments; a subsequent classification phase labels each segment as a gain, a loss or neutral. Unfortunately, standard HMMs are sensitive to outliers, causing over-segmentation, where segments erroneously span very short regions. RESULTS: We propose a simple modification that makes the HMM robust to such outliers. More importantly, this modification allows us to exploit prior knowledge about the likely location of "outliers", which are often due to copy number polymorphisms (CNPs). By "explaining away" these outliers with prior knowledge about the locations of CNPs, we can focus attention on the more clinically relevant aberrated regions. We show significant improvements over the current state of the art technique (DNAcopy with MergeLevels) on previously published data from mantle cell lymphoma cell lines, and on published benchmark synthetic data augmented with outliers. AVAILABILITY: Source code written in Matlab is available from http://www.cs.ubc.ca/~sshah/acgh.

An efficient method for the assessment of DNA quality of archival microdissected specimens.

There will be an increasing need of methods for assessing the suitability of specimens for genetic-based assays as DNA markers become an integral part of molecular diagnosis. The targeting of specimens for specific analyses will require the ability to rapidly screen for DNA quality. Conventional methods such as Southern analysis and gene specific-polymerase chain reaction (PCR) often require quantities of material that represent a significant portion of the specimen, especially in microdissected samples. Here we describe a novel application of a commonly used PCR-based DNA-fingerprinting technology that requires minimal quantities of DNA to simultaneously assess multiple regions throughout the genome for DNA quality. Randomly amplified polymorphic DNA (RAPD) PCR generates DNA fragments of a broad size range with the product size reflecting the degree of sample fragmentation. Fourteen DNA samples extracted from cells microdissected from seven formalin-fixed, paraffin-embedded oral cancer biopsies were assessed for DNA quality using gene-specific PCR and RAPD-PCR. Although the more conventional assay required 2-ng DNA (or 300-cell equivalents) to examine DNA quality at a single locus, RAPD-PCR provided a more informative profile of DNA quality from the same microdissected archival specimens.