TCR gene segment usage and HLA alleles that are associated with cancer survival rates also represent racial disparities.

Understanding racial disparities in cancer outcomes continues to be a challenge, with likely many factors at play, including socioeconomic factors and genetic polymorphisms impacting basic cellular and molecular functions. Additionally, it is possible that specific combinations of environment and genetics have specific impacts. T-cell receptor (TCR) gene segment usage, HLA allele combinations have been associated with autoimmune and infectious disease courses, and more recently, TCR gene segment usage, HLA allele combinations have been associated with distinct survival outcomes in cancer as well. We examined several such, previously reported cancer-related TCR gene segment usage, HLA allele combinations for evidence of racial disparities, with regard to the prevalence of the combination in different racial groups. Results indicated that TCR gene segment usage, potentially reflecting environmental factors related to previous pathogen exposure, in combination with certain HLA alleles or independently, may represent a novel explanation for racial disparities in cancer outcomes. Overall, at this point, a genetic connection to racial disparities in cancer outcomes is detectable but remains modest, suggesting that other factors, such as socioeconomic factors, remain as important considerations.

Electrostatic Complementarity of T-Cell Receptor-Alpha CDR3 Domains and Mutant Amino Acids Is Associated with Better Survival Rates for Sarcomas.

While sarcoma immunology has advanced with regard to basic, and even some applied topics, this disease has not been subject to more recent immunogenomics approaches. Thus, we assessed the immune receptor recombinations available from the cancer genome atlas (TCGA) sarcoma database via tumor sample exome and RNASeq files. Results indicated that recovery of T-cell receptor-alpha recombination reads (TRA) correlated with a better survival rate, with the expression of T-cell biomarkers, and with tumor sample apoptosis signatures consistent with the longer patient survival times. Furthermore, samples representing TRA complementarity determining region-3 (CDR3) net charge per residue (NCPR) based complementarity with the corresponding sarcoma mutanome had a better survival rate, and more granzyme expression, than samples lacking such complementarity. By specifically using RNASeq-recovered TRA CDR3s and related NCPR assessments, three genes, TP53, ATRX, and RB1, were identified as being key components of the mutanome-based complementarity. Thus, these genes may represent key immune system targets for soft tissue sarcomas. Also, several key results from above were reproduced with a pediatric osteosarcoma dataset, work that led to identification of MUC6 mutations as potentially linked to a strong immune response. In sum, TRA CDR3s are likely to be important prognostic indicators, and possibly a beginning tool for immunotherapy development strategies, for adult and pediatric sarcomas.

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. This result was supported by analyses of the expression of B-cell markers as indicated by LUAD RNASeq files. CONCLUSION: BcR and TcR recombination reads recovered from LUAD WXS files, either alone or in combination with the human leukocyte antigen (HLA) type, are likely to have prognostic value.

Potential MMP2-mediated availability of HLA binding, mutant ECM peptides reflects better melanoma survival rates and greater T-cell infiltrates.

Proteases in the cancer microenvironment have been studied for some time, with a general conclusion that such proteases facilitate the spread of cancer, although there is some controversy regarding that conclusion in later-stage cancer development. More recently, a very large collection of data regarding mutant amino acids in the potential substrates of cancer microenvironment proteases have become available. To better understand the potential impact of these mutant amino acids on protease function and cancer progression, we established a bioinformatics approach to assessing the impact of melanoma mutants, among a previously defined set of extracellular matrix (ECM) structural proteins, on the sensitivity of matrix metalloproteinase-2 (MMP2), extensively associated with melanoma. The results indicated that tumor samples with mutant amino acids adjacent to the ECM structural protein, MMP2 sites also represented a better survival rate and a larger proportion of mutant peptides with high HLA class I-binding affinities, particularly in comparison with melanoma samples with a reduced or absent T-cell infiltrate. Furthermore, even better HLA class I binders were identified among the samples representing the ECM structural protein mutants resistant to MMP2. Samples representing only MMP2-resistant mutants also represented a worse overall survival. Overall, this analysis suggested that MMP2 has the capacity of freeing mutant peptides that could facilitate an anti-tumor response and a better survival rate, and this analysis has the potential of resolving some of the controversy surrounding the role of cancer proteases in cancer progression.

Matrix-Metalloprotease Resistant Mucin-16 (MUC16) Peptide Mutants Represent a Worse Lung Adenocarcinoma Outcome.

PURPOSE: The relationship of lung adenocarcinoma (LUAD)-specific proteases and the mutant profile of cytoskeletal and extracellular matrix proteins (CECMPs) are examined. EXPERIMENTAL DESIGN: Mutant CECMPs are assessed with an automated application of a protease binding, amino acid-based, scoring database. RESULTS: MUC16 (Human Genome Organization symbol for mucin-16 gene) mutants in particular are, more often than not, resistant to matrix-metalloproteases (MMPs) commonly secreted by LUAD cells, and LUAD cases representing the MUC16, MMP resistant mutants have a worse outcome. Similar results are obtained for MUC16 mutants resistant to cathepsins, also commonly secreted by LUAD cells. Analyses also show that MUC16, MMP resistant peptide mutants have greater binding affinities to HLA-A and HLA-B when compared to MUC16, MMP nonresistant peptide mutants. CONCLUSION: These results provide a potential, novel biomarker for lung cancer progression, in particular, protease resistant MUC16 peptides; and suggest a possible mechanism of immune escape entailing the reduction of mutant peptides available for HLA class I binding.

T-cell receptor V and J usage paired with specific HLA alleles associates with distinct cervical cancer survival rates.

Cervical cancer is more strongly associated with a specific virus, Human Papilloma Virus (HPV), in otherwise healthy individuals, than is any other cancer. Thus, there is an expectation that an adaptive immune signature of cervical cancer would be highly apparent. Here we used a genomics approach to investigate the relationship between T-cell receptor (TCR) V and J usage and survival for patients diagnosed with cervical cancer, relying exclusively on tissue and blood exome files. Specific TCR V or J segments, identified in recombination reads recovered from the exome files, were combined with the patient HLA alleles to identify V or J, HLA allele combination groups associated with distinct survival rates. For examples, the T-cell receptor-ß (TRB) V6-5, HLA-A*02:01 combination was associated with a positive outcome, and the TRBV6-1, HLA-A*01:01 combination was associated with a negative outcome. Overall, these results point to V or J usage, HLA allele combinations as survival biomarkers, likely conveniently accessible with a noninvasive procedure, and the results may point the way towards immunological reagents useful in therapy designs.

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. RESULTS: Recovery of TRD or IGH recombination reads was associated with an improved disease-free survival (p = 0.047 and 0.045, respectively). Determination of the HLA types using the exome files allowed matching of T-cell receptor V- and J-gene segment usage with specific HLA alleles, in turn allowing a refinement of the association of immune receptor recombination read recoveries with survival. For example, the TRBV7, HLA-C*07:01 combination represented a significantly worse, disease-free outcome (p = 0.014) compared to all other breast cancer samples. By direct comparisons of distinct TRB gene segment usage, HLA allele combinations revealed breast cancer subgroups, within the entire TCGA breast cancer dataset with even more dramatic survival distinctions. CONCLUSIONS: In sum, the use of exome files for recovery of adaptive immune receptor recombination reads, and the simultaneous determination of HLA types, has the potential of advancing the use of immunogenomics for immune characterization of breast tumor samples.

MMP7 sensitivity of mutant ECM proteins: An indicator of melanoma survival rates and T-cell infiltration.

OBJECTIVE: To assess the potential impact of mutant ECM amino acids (AA) on melanoma-related matrix metalloproteinase-7 (MMP7) activity. DESIGN AND METHODS: We applied a novel scripted algorithm, based on the MEROPS database, to reveal mutant-dependent sensitivity changes across the cancer genome atlas, melanoma dataset. RESULTS: This approach revealed a strong bias in favor of mutant AA dependent protease sensitivity increases. Thus, melanoma specimens with relatively few mutations had only MMP7 mutant sensitive, ECM peptides. As mutations increased, melanoma specimens included mutant AA representing mostly increased sensitivity and a small but increasing number of mutant AA representing decreased MMP7 sensitivity. There was no detection of melanoma specimens with only decreases in MMP7 sensitivity. Furthermore, melanoma specimens with exclusively increased sensitivity and thereby only a few overall mutations represented reduced T-cell infiltrates and worse outcomes. CONCLUSIONS: Overall, the results indicated that changes in MMP7 sensitivity, attributable to mutant AA, have the potential of identifying patients with distinct survival outcomes as well as patients with cancer specimen immune activity.

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. However, the recovery of specific immune receptor recombination reads did not indicate the same survival outcomes as microscope detection of lymphocyte infiltrate percentages. To further exploit the value of recovery of the TRB recombination reads from the UCEC exome files, we determined the survival outcomes for combinations of TRB gene segment usage and HLA class I alleles, with the most important result being that the combination of HLA-A*01:01 and TRB-J1 segment usage reflected a strikingly high survival rate. Overall, this report emphasized the increased value of the knowledge of the immune receptor recombinations, in comparison with basic lymphocyte infiltration percentages, in assessing cancer survival rates.

Mutant cytoskeletal and ECM peptides sensitive to the ST14 protease are associated with a worse outcome for glioblastoma multiforme.

We previously identified a set of the most frequently mutated cytoskeleton- and extracellular matrix-related proteins (CECMPs) in numerous cancer datasets. In this report, we used a bioinformatics approach to assess the impact of amino acid (AA) substitutions on the sensitivity of CECMPs to the ST14 protease (matriptase I), a transmembrane serine protease previously implicated in cancer development. Results indicated that AA substitutions in glioblastoma multiforme (GBM) CECMPs are skewed toward increased resistance to the ST14 protease, in comparison to the wild-type peptide sequence. Furthermore, the protease resistant AA substitutions represent relatively high binding affinities to HLA class I proteins, when assessing the binding specificities using HLA class I alleles matched to the source of the mutant AA. Moreover, samples representing AA substitutions that increased protease sensitivity also represented reduced overall and disease-free survival periods for patients with glioblastoma. To assess tumor specimen immunogenicity, we identified T-cell receptor (TCR) V(D)J recombinations in GBM exome files. The overlap between ST14 protease sensitive mutant barcodes and the TCR V(D)J recombination read positive barcodes represented significantly reduced survival.

T-cell receptor-ß 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. The results from this approach, in this report, have permitted an extensive alignment of TCR-ß VDJ usage and HLA class I and II alleles. Results indicate the correlation of both better and worse cancer survival rates with particular TCR-ß, V and J usage-HLA allele combinations, with differences in median survival times ranging from 7 to 130 months, depending on the cancer and the specific TCR-ß V and J usage/HLA class allele combination.

T cell receptor-ß J usage, in combination with particular HLA class II alleles, correlates with better cancer survival rates.

T cell receptor (TCR) ß V and J usage correlates with either the HLA class I or HLA class II major histocompatibility subtypes, and in both infectious diseases and autoimmune settings, the use of particular TCR-ß V and J's, in persons with specific HLA alleles, represents either better outcomes or certain clinical features. However, the relationship of TCR V and J usage, HLA alleles, and clinical parameters in the cancer setting has been less well studied. Here, we have evaluated the relationship of what is likely dominant TCR-ß V and J usage among tissue-resident lymphocytes for lung, head and neck, kidney, stomach, ovarian, and endometrial cancers, with patient HLA class II alleles. The most striking indication is that TCR-ß J subgroup usage, in combination with particular patient HLA class II alleles, correlated with either better or worse outcomes for lung cancer. One combination, TCR-ß J2 segment usage and the HLA-DRB1*1501 allele, correlated with a better survival rate for both lung and head and neck cancers. These results fill a gap in knowledge regarding the relevance of HLA typing to cancer and indicate that HLA typing, along with an indication of dominant TCR-ß J usage among tissue-resident lymphocytes, can be useful for prognosis.

Cytoskeleton and ECM tumor mutant peptides: Increased protease sensitivities and potential consequences for the HLA class I mutant epitope reservoir.

Cytoskeleton and extracellular matrix-related proteins (CECMPs) represent the most common class of cancer mutants, owing to the large size of their coding regions and the randomness of mutagenesis. We used a bioinformatics approach to assess the impact of amino acid (AA) substitutions on the sensitivity of CECMPs to proteases relevant to melanoma and on the binding affinities for HLA class I. CECMP peptides with AA substitutions overwhelmingly reflect increased sensitivity to proteases implicated in melanoma development (MME, CTSS, MMP2, CTSD, CTSL) in comparison to the wild-type peptide sequences. Furthermore, peptides with AA substitutions representing increased peptide protease sensitivity also represented relatively high binding affinities for HLA class I allelic variants. These analyses raise the question of whether increased protease sensitivity, of mutant cancer peptides represents a significant increase in the availability of cancer mutant, HLA class I epitopes and a hitherto unappreciated aspect of cancer cell immunogenicity, particularly in the case of melanoma?