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Biophysicochemical Motifs in T-cell Receptor Sequences Distinguish Repertoires from Tumor-Infiltrating Lymphocyte and Adjacent Healthy Tissue.

ABSTRACT: Immune repertoire deep sequencing allows comprehensive characterization of antigen receptor-encoding genes in a lymphocyte population. We hypothesized that this method could enable a novel approach to diagnose disease by identifying antigen receptor sequence patterns associated with clinical phenotypes. In this study, we developed statistical classifiers of T-cell receptor (TCR) repertoires that distinguish tumor tissue from patient-matched healthy tissue of the same organ. The basis of both classifiers was a biophysicochemical motif in the complementarity determining region 3 (CDR3) of TCR? chains. To develop each classifier, we extracted 4-mers from every TCR? CDR3 and represented each 4-mer using biophysicochemical features of its amino acid sequence combined with quantification of 4-mer (or receptor) abundance. This representation was scored using a logistic regression model. Unlike typical logistic regression, the classifier is fitted and validated under the requirement that at least 1 positively labeled 4-mer appears in every tumor repertoire and no positively labeled 4-mers appear in healthy tissue repertoires. We applied our method to publicly available data in which tumor and adjacent healthy tissue were collected from each patient. Using a patient-holdout cross-validation, our method achieved classification accuracy of 93% and 94% for colorectal and breast cancer, respectively. The parameter values for each classifier revealed distinct biophysicochemical properties for tumor-associated 4-mers within each cancer type. We propose that such motifs might be used to develop novel immune-based cancer screening assays. SIGNIFICANCE: This study presents a novel computational approach to identify T-cell repertoire differences between normal and tumor tissue.See related commentary by Zoete and Coukos, p. 1299.

SUBMITTER: Ostmeyer J

PROVIDER: S-EPMC6445742 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Biophysicochemical Motifs in T-cell Receptor Sequences Distinguish Repertoires from Tumor-Infiltrating Lymphocyte and Adjacent Healthy Tissue.

Ostmeyer Jared J Christley Scott S Toby Inimary T IT Cowell Lindsay G LG

Cancer research 20190108 7

Immune repertoire deep sequencing allows comprehensive characterization of antigen receptor-encoding genes in a lymphocyte population. We hypothesized that this method could enable a novel approach to diagnose disease by identifying antigen receptor sequence patterns associated with clinical phenotypes. In this study, we developed statistical classifiers of T-cell receptor (TCR) repertoires that distinguish tumor tissue from patient-matched healthy tissue of the same organ. The basis of both cla ...[more]

PMID: 30622114

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Project description:Protein carbonylation is an irreversible post-translational modification induced by severe oxidative stress. Reactive oxygen species (ROS) are constantly produced in cells and play important roles in both cancer progression and cancer suppression. ROS levels can be higher in tumor compared to surrounding healthy tissue but ROS-induced specific protein carbonylation and its unique role in cancer progression or suppression is poorly understood. In this study, we utilized previously validated ELISA and western blot methods to analyze the total and specific protein carbonylation in flash-frozen human breast cancer and matched adjacent healthy tissue to compare relative total, and specific protein carbonylation. Mass spectrometry, two-color western, and immunoprecipitation methods were used to identify and confirm the specifically carbonylated proteins in breast tumor tissue. Superoxide dismutase (SOD) activity was measured as an indicator of antioxidant activity, and LC3-II protein level was analyzed for autophagy by western blot. Findings were further confirmed using the immortalized MDA-MB-231 and MDA-MB-468 breast cancer and MCF-12A noncancerous human epithelial breast cell lines. Our results indicate that tumor tissue has greater total protein carbonylation, lower SOD1 and SOD2 protein levels, lower total SOD activity, and higher LC3-II levels compared to adjacent healthy tissue. We identified and confirmed three specific proteins of interest; filamin A, heat shock protein 90? (HSP90?), and bifunctional glutamate/proline-tRNA ligase (EPRS), that were selectively carbonylated in tumor tissue compared to matched adjacent healthy tissue. Correspondingly, compared to noncancerous MCF-12A epithelial cells, MDA-MB-231 cancer cells exhibited an increase in filamin A and EPRS protein carbonylation, decreased total SOD activity, and increased autophagy, but not increased HSP90? protein carbonylation. Identification of selectively carbonylated proteins and defining their roles in cancer progression may promote the development of targeted therapeutic approaches toward mitigating oxidative damage of these proteins.

Dataset Information

Biophysicochemical Motifs in T-cell Receptor Sequences Distinguish Repertoires from Tumor-Infiltrating Lymphocyte and Adjacent Healthy Tissue.

Publications

Biophysicochemical Motifs in T-cell Receptor Sequences Distinguish Repertoires from Tumor-Infiltrating Lymphocyte and Adjacent Healthy Tissue.

Similar Datasets

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