Pooja Neerumalla, Rahul Jain, Michael T Aboujaoude, Tabitha R Hudock, Joanna J Song, Bryan H Cao, Andrea Chobrutskiy, Boris I Chobrutskiy, George Blanck
{"title":"血液来源的乳腺癌相关 TCR CDR3 与 CMV UL29 和 IE1 抗原的化学互补性与较差的总生存率有关。","authors":"Pooja Neerumalla, Rahul Jain, Michael T Aboujaoude, Tabitha R Hudock, Joanna J Song, Bryan H Cao, Andrea Chobrutskiy, Boris I Chobrutskiy, George Blanck","doi":"10.1007/s10528-024-10934-y","DOIUrl":null,"url":null,"abstract":"<p><p>Cytomegalovirus (CMV) infection is common and becomes a particular concern in immunocompromised patients. Understanding the potential role CMV plays in breast cancer patients' disease progression is important for providing more patient-specific treatments. In this study, we analyzed whether a breast cancer patient's blood-sourced T-cell receptor (TCR) complementarity determining-3 (CDR3) amino acid (AA) sequences could provide an indication of the impact of a systemic CMV infection. Specifically, we assessed the chemical complementarity of patient TCR CDR3 AAs and CMV antigens to determine whether patients with greater complementarity also represented different survival probabilities. Initially, we examined five distinct CMV antigens, of which two, IE1 and UL29, represented TCR (TRA+ RB)-CDR3-CMV antigen complementarity scores (CSs) whereby cases representing the upper 50th percentile of CSs had a worse overall survival (log-rank p = 5.034E-3, for IE1). Then, an analysis of CSs representing previously identified, TCR IE1 epitopes indicated that greater TRB CDR3-IE1 epitope complementarities represented a worse OS (log-rank p = 0.0111). These results raise the question of whether a systemic, anti-CMV response leads to increased systemic inflammation, which is either directly or indirectly supportive of tumor growth; or are patients succumbing to a direct impact of CMV functions on tumor growth or metastasis?</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Chemical Complementarity of Blood-Sourced, Breast Cancer-Related TCR CDR3s and the CMV UL29 and IE1 Antigens is Associated with Worse Overall Survival.\",\"authors\":\"Pooja Neerumalla, Rahul Jain, Michael T Aboujaoude, Tabitha R Hudock, Joanna J Song, Bryan H Cao, Andrea Chobrutskiy, Boris I Chobrutskiy, George Blanck\",\"doi\":\"10.1007/s10528-024-10934-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Cytomegalovirus (CMV) infection is common and becomes a particular concern in immunocompromised patients. Understanding the potential role CMV plays in breast cancer patients' disease progression is important for providing more patient-specific treatments. In this study, we analyzed whether a breast cancer patient's blood-sourced T-cell receptor (TCR) complementarity determining-3 (CDR3) amino acid (AA) sequences could provide an indication of the impact of a systemic CMV infection. Specifically, we assessed the chemical complementarity of patient TCR CDR3 AAs and CMV antigens to determine whether patients with greater complementarity also represented different survival probabilities. Initially, we examined five distinct CMV antigens, of which two, IE1 and UL29, represented TCR (TRA+ RB)-CDR3-CMV antigen complementarity scores (CSs) whereby cases representing the upper 50th percentile of CSs had a worse overall survival (log-rank p = 5.034E-3, for IE1). Then, an analysis of CSs representing previously identified, TCR IE1 epitopes indicated that greater TRB CDR3-IE1 epitope complementarities represented a worse OS (log-rank p = 0.0111). These results raise the question of whether a systemic, anti-CMV response leads to increased systemic inflammation, which is either directly or indirectly supportive of tumor growth; or are patients succumbing to a direct impact of CMV functions on tumor growth or metastasis?</p>\",\"PeriodicalId\":482,\"journal\":{\"name\":\"Biochemical Genetics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biochemical Genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s10528-024-10934-y\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-024-10934-y","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Chemical Complementarity of Blood-Sourced, Breast Cancer-Related TCR CDR3s and the CMV UL29 and IE1 Antigens is Associated with Worse Overall Survival.
Cytomegalovirus (CMV) infection is common and becomes a particular concern in immunocompromised patients. Understanding the potential role CMV plays in breast cancer patients' disease progression is important for providing more patient-specific treatments. In this study, we analyzed whether a breast cancer patient's blood-sourced T-cell receptor (TCR) complementarity determining-3 (CDR3) amino acid (AA) sequences could provide an indication of the impact of a systemic CMV infection. Specifically, we assessed the chemical complementarity of patient TCR CDR3 AAs and CMV antigens to determine whether patients with greater complementarity also represented different survival probabilities. Initially, we examined five distinct CMV antigens, of which two, IE1 and UL29, represented TCR (TRA+ RB)-CDR3-CMV antigen complementarity scores (CSs) whereby cases representing the upper 50th percentile of CSs had a worse overall survival (log-rank p = 5.034E-3, for IE1). Then, an analysis of CSs representing previously identified, TCR IE1 epitopes indicated that greater TRB CDR3-IE1 epitope complementarities represented a worse OS (log-rank p = 0.0111). These results raise the question of whether a systemic, anti-CMV response leads to increased systemic inflammation, which is either directly or indirectly supportive of tumor growth; or are patients succumbing to a direct impact of CMV functions on tumor growth or metastasis?
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.