Proteomics to predict relapse in patients with myelodysplastic neoplasms undergoing allogeneic hematopoietic cell transplantation.

Allogeneic Myelodysplasia Proteomics Stem cell transplantation

Journal

Biomarker research
ISSN: 2050-7771
Titre abrégé: Biomark Res
Pays: England
ID NLM: 101607860

Informations de publication

Date de publication:
25 Jan 2024
Historique:
received: 09 10 2023
accepted: 19 12 2023
medline: 26 1 2024
pubmed: 26 1 2024
entrez: 25 1 2024
Statut: epublish

Résumé

Disease relapse remains a major barrier to success after allogeneic hematopoietic cell transplantation (allo-HCT) in myelodysplastic neoplasms (MDS). While certain high risk genomic alterations are associated with increased risk of relapse, there is a lack of clinically applicable tools to analyze the downstream cellular events that are associated with relapse. We hypothesized that unique proteomic signatures in MDS patients undergoing allo-HCT could serve as a tool to understand this aspect and predict relapse. Using the Center for International Blood and Marrow Transplant Research (CIBMTR) database, we identified 52 MDS patients who underwent allo-HCT and analyzed their proteomic profile from pretransplant blood samples in a matched case-control design. Twenty-six patients without disease relapse after allo-HCT (controls) were matched with 26 patients who experienced relapse (cases). Proteomics assessment was conducted using the Slow Off-rate Modified Aptamers (SOMAmer) based assay. In gene set enrichment analysis, we noted that expression in the hallmark complement, and hallmark allograft rejection pathways were statistically enriched among patients who had disease relapse post-transplant. In addition, correlation analyses showed that methylation array probes in cis- and transcription regulatory elements of immune pathway genes were modulated and differentially sensitize the immune response. These findings suggest that proteomic analysis could serve as a novel tool for prediction of relapse after allo-HCT in MDS.

Identifiants

pubmed: 38273355
doi: 10.1186/s40364-023-00550-0
pii: 10.1186/s40364-023-00550-0
doi:

Types de publication

Letter

Langues

eng

Pagination

10

Informations de copyright

© 2024. The Author(s).

Références

Platzbecker U, Kubasch AS, Homer-Bouthiette C, Prebet T, et al. Current challenges and unmet medical needs in myelodysplastic syndromes. Leukemia. 2021;35(8):2182–98.
doi: 10.1038/s41375-021-01265-7 pubmed: 34045662 pmcid: 8324480
Aivado M, Spentzos D, Germing U, Alterovitz G, Meng XY, Grall F, et al. Serum proteome profiling detects myelodysplastic syndromes and identifies CXC chemokine ligands 4 and 7 as markers for advanced Disease. Proc Natl Acad Sci U S A. 2007;104(4):1307–12.
doi: 10.1073/pnas.0610330104 pubmed: 17220270 pmcid: 1783137
Wang W, Auer P, Zhang T, Spellman S, Carlson K, Nazha A, et al. Impact of Epigenomic Hypermethylation at TP53 on allogeneic hematopoietic cell transplantation outcomes for myelodysplastic syndromes. Transpl Cell Ther. 2021;27(8):659e1–6.
doi: 10.1016/j.jtct.2021.04.027
Hensley P. SOMAmers and SOMAscan– A protein Biomarker Discovery platform for Rapid Analysis of Sample Collections from Bench Top to the clinic. J Biomol Tech, 2013. 24(S5).
Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50.
doi: 10.1073/pnas.0506580102 pubmed: 16199517 pmcid: 1239896
Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov JP, Tamayo P, et al. The Molecular signatures database (MSigDB) hallmark gene set collection. Cell Syst. 2015;1(6):417–25.
doi: 10.1016/j.cels.2015.12.004 pubmed: 26771021 pmcid: 4707969
Majek P, Riedelova-Reicheltova Z, Suttnar J, Pecankova K, Cermak J, Dyr JE et al. Proteome changes in the plasma of myelodysplastic syndrome patients with refractory anemia with excess blasts subtype 2 Dis Markers, 2014. 2014: p. 178709.
Romano A, Giallongo C, La Cava P, Parrinello NL, Chiechi A, Vetro C, et al. Proteomic analysis reveals Autophagy as Pro-survival Pathway elicited by long-term exposure with 5-Azacitidine in high-risk myelodysplasia. Front Pharmacol. 2017;8:204.
doi: 10.3389/fphar.2017.00204 pubmed: 28491035 pmcid: 5405131
Corrigan DJ, Luchsinger LL, Justino de Almeida M, Williams LJ, Strikoudis A, Snoeck HW. PRDM16 isoforms differentially regulate normal and leukemic hematopoiesis and inflammatory gene signature. J Clin Invest. 2018;128(8):3250–64.
doi: 10.1172/JCI99862 pubmed: 29878897 pmcid: 6063481
Zeiser R, Vago L. Mechanisms of immune Escape after allogeneic hematopoietic cell transplantation. Blood. 2019;133(12):1290–7.
doi: 10.1182/blood-2018-10-846824 pubmed: 30578254

Auteurs

Guru Subramanian Guru Murthy (GS)

Division of Hematology & Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA. gmurthy@mcw.edu.

Tao Zhang (T)

National Marrow Donor Program/Be the Match, Minneapolis, Minnesota, USA.

Yung-Tsi Bolon (YT)

National Marrow Donor Program/Be the Match, Minneapolis, Minnesota, USA.

Stephen Spellman (S)

National Marrow Donor Program/Be the Match, Minneapolis, Minnesota, USA.

Jing Dong (J)

Division of Hematology & Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

Paul Auer (P)

Division of Biostatistics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

Wael Saber (W)

CIBMTR® (Center for International Blood and Marrow Transplant Research), Department of Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

Classifications MeSH