Chemical complementarity between immune receptor CDR3s and candidate cancer antigens correlating with reduced survival: evidence for outcome mitigation with corticosteroid treatments.

The evaluation of physicochemical characteristics of extensive adaptive immune receptor (IR) recombination sequence collections has led to the discovery of many correlations of those sequences and a variety of diseases, including cancer. In the cancer setting, these evaluations have recently focused on the adaptive IR, complementarity determining region-3 (CDR3) amino acid (AA) sequences, which play a major role in antigen binding. For example, the chemical complementarities of the tumor resident, CDR3 AA sequences and the BRAFV600E mutant, common in melanoma, have proved informative with regard to outcomes.

Antiviral T Cell Receptor Complementarity Determining Region-3 Sequences Are Associated with a Worse Cancer Outcome: A Pancancer Analysis.

Human papilloma virus has a clearly demonstrated role in cervical and head and neck cancers, but viral etiology for other solid tumors is less well understood. To expand this area of research, we obtained and analyzed the immune receptor recombinations available from both blood and tumor samples, through mining of exome files produced from those sources, for 32 cancer types represented by the cancer genome atlas (TCGA). Among TCGA data sets, the recovery frequency for antiviral complementarity determining region-3 sequences (CDR3s), for T cell receptor-alpha and T cell receptor-beta, ranged from 0% to 21% of the patients, for the different cancer types, with breast, lung, pancreatic, and thymus cancers representing the highest of that range, particularly for tumor tissue resident T cells.

B-cell Receptor Recombinations in Lung Adenocarcinoma Exome Files Correlate With a Higher Overall Survival Rate.

Background/aim: While there has been a rapid development in genomic data mining approaches for T-cell receptor recombinations (TcR), less emphasis has been placed on B-cell receptor (BcR) recombinations.

Materials And Methods: We obtained lung cancer exome files from the cancer genome atlas (TCGA) and mined the files for TcR and BcR recombination reads.

Results: There was a robust detection of BcR light chain recombination reads in lung adenocarcinoma (TCGA-LUAD) samples, and there was a correlation between the detection of light chain recombination reads and a more favorable outcome.

TRB-J1 usage, in combination with the HLA-A*01:01 allele, represents an apparent survival advantage for uterine corpus endometrial carcinoma: Comparisons with microscopic assessments of lymphocyte infiltrates.

The opportunity for the highly efficient recovery of immune receptor recombination data from cancer specimens, including the ready assessment of immune receptor V and J usage, raises the issue of establishing precise values of assessing the immune receptor status as opposed to obtaining basic information regarding lymphocyte infiltration, in the cancer setting. In this report, we obtained the lymphocyte infiltration percentages from the cancer digital slide archive representing uterine corpus endometrial carcinoma (UCEC) and correlated these data with recovery of the immune receptor recombination reads from corresponding UCEC exome files. Results indicated a basic correlation of the recovery of productive T-cell receptor beta (TRB) recombination reads with lymphocyte infiltration percentages.

Immune receptor recombinations from breast cancer exome files, independently and in combination with specific HLA alleles, correlate with better survival rates.

Purpose: Immune characterizations of cancers, including breast cancer, have led to information useful for prognoses and are considered to be important in the future of refining the use of immunotherapies, including immune checkpoint inhibitor therapies. In this study, we sought to extend these characterizations with genomics approaches, particularly with cost-effective employment of exome files.

Methods: By recovery of immune receptor recombination reads from the cancer genome atlas (TCGA) breast cancer dataset, we observed associations of these recombinations with T-cell and B-cell biomarkers and with distinct survival rates.

Elucidating feed-forward apoptosis signatures in breast cancer datasets: Higher FOS expression associated with a better outcome.

Overstimulation of pro-proliferative pathways and high level expression of pro-proliferative transcription factors (TFs) can lead to apoptosis. This is likely due to TF binding sites for pro-proliferative TFs common to pro-proliferative and pro-apoptosis-effector genes. Certain clinical datasets have indicated that molecular markers associated with higher proliferation rates lead to improved outcomes for patients with cancer.

Germline cytoskeletal and extra-cellular matrix-related single nucleotide variations associated with distinct cancer survival rates.

Background: Human mutagenesis has a large stochastic component. Thus, large coding regions, especially cytoskeletal and extra-cellular matrix protein (CECMP) coding regions are particularly vulnerable to mutations. Recent results have verified a high level of somatic mutations in the CECMP coding regions in the cancer genome atlas (TCGA), and a relatively common occurrence of germline, deleterious mutations in the TCGA breast cancer dataset.

T-cell receptor-β V and J usage, in combination with particular HLA class I and class II alleles, correlates with cancer survival patterns.

Class I and class II HLA proteins, respectively, have been associated with subsets of V(D)J usage resulting from recombination of the T-cell receptor (TCR) genes. Additionally, particular HLA alleles, in combination with dominant TCR V(D)J recombinations, have been associated with several autoimmune diseases. The recovery of TCR recombination reads from tumor specimen exome files has allowed rapid and extensive assessments of V(D)J usage, likely for cancer resident T-cells, across relatively large cancer datasets.

Recovery of Immunoglobulin VJ Recombinations from Pancreatic Cancer Exome Files Strongly Correlates with Reduced Survival.

We assessed pancreatic cancer, lymphocyte infiltrates with a computational genomics approach. We took advantage of tumor-specimen exome files available from the cancer genome atlas to mine T- and B-cell immune receptor recombinations, using highly efficient, scripted algorithms established in several previous reports. Surprisingly, the results indicated that pancreatic cancer exomes represent one of the highest level yields for immune receptor recombinations, significantly higher than two comparison cancers used in this study, head and neck and bladder cancer.

TcR-α recombinations in renal cell carcinoma exome files correlate with an intermediate level of T-cell exhaustion biomarkers.

Renal cell carcinoma exome-derived, V(D)J recombination reads had an elevated presence and variability, for both TcR-α and -β, when compared to marginal tissue, reflecting an opportunity to assess tumor immunogenicity by comparison with marginal tissue T cells. PD-1, PD-L2, CTLA4 and FOXP3, all of which are implicated in the evasion of an anti-tumor immune response, had a significantly higher expression for samples representing co-detection of productive TcR-α and -β recombination reads. Samples representing tumors with productive TcR-α recombination reads but no detectable, productive TcR-β recombination reads, reflected a 20% survival advantage, and RNASeq data indicated an intermediate level of immune checkpoint gene expression for those samples.

Immunogenomics: A Negative Prostate Cancer Outcome Associated with TcR-γ/δ Recombinations.

We developed a scripted algorithm, based on previous, earlier editions of the algorithm, to mine prostate cancer exome files for T-cell receptor (TcR) recombination reads: Reads representing TcR gene recombinations were identified in 497 prostate cancer exome files from the cancer genome atlas (TCGA). As has been reported for melanoma, co-detection of productive TcR-α and TcR-β recombination reads correlated with an RNA expression signature representing T-cell exhaustion, particularly with high RNA levels for PD-1 and PD-L1, in comparison to several different control sets of samples. Co-detection of TcR-α and TcR-β recombination reads also correlated with high level expression of genes representing antigen presenting functions, further supporting the conclusion that co-detection of TcR-α and TcR-β recombination reads represents an immunologically relevant microenvironment.

Identification of specific feed-forward apoptosis mechanisms and associated higher survival rates for low grade glioma and lung squamous cell carcinoma.

The mechanisms of cell proliferation due to the overexpression of certain transcription factors (TFs) have been well documented in the cancer setting. However, many of these same TFs have pro-apoptotic effects, particularly when expressed or activated at high levels, a process referred to as feed-forward apoptosis (FFA). To determine whether cancers could be stratified on the basis of specific FFA signatures, RNASeq data representing samples from the cancer genome atlas were analyzed, revealing that high expression of the pro-proliferative TFs, MYC and YY1, is associated with a favorable outcome in low-grade glioma (LGG) and lung squamous cell carcinoma (LUSC), respectively.

Lung tumor exome files with T-cell receptor recombinations: a mouse model of T-cell infiltrates reflecting mutation burdens.

Tumor exomes and RNASeq data were originally intended for obtaining tumor mutations and gene expression profiles, respectively. However, recent work has determined that tumor exome and RNAseq read files contain reads representing T-cell and B-cell receptor (TcR and BcR) recombinations, presumably due to infiltrating lymphocytes. Furthermore, the recovery of immune receptor recombination reads has demonstrated correlations with specific, previously appreciated aspects of tumor immunology.

Assessing microenvironment immunogenicity using tumor specimen exomes: Co-detection of TcR-α/β V(D)J recombinations correlates with PD-1 expression.

T-cell receptor (TcR) recombinations can be recovered from tumor specimen, whole exome sequences (WXS) files. However, it is not yet clear how these recombinations represent lymphocytes or an anti-tumor immune response. Here we report the identification of productive TcR-β recombinations in WXS files representing primary and metastatic melanoma.

Identification of immunoglobulin V(D)J recombinations in solid tumor specimen exome files: Evidence for high level B-cell infiltrates in breast cancer.

It has recently become apparent that it is possible to characterize productively recombined, T-cell receptor (TcR) gene segments in tumor exome files, which presumably include representations of the DNA of other cells in the microenvironment. Similar characterizations have been done for TcR recombinations in tumor specimen RNASeq files. While exome files have been used to characterize immunoglobulin gene segment recombinations for tumors closely related to B-cells, immunoglobulin recombinations have yet to be characterized for putative microenvironment cells for solid tumors.