A Germinal Center-Associated Microenvironmental Signature Reflects Malignant Phenotype and Outcome of DLBCL.
Kohta MiyawakiKoji KatoTakeshi SugioKensuke SasakiHiroaki MiyoshiYuichiro SembaYoshikane KikushigeYasuo MoriYuya KunisakiHiromi IwasakiToshihiro MiyamotoFrank C KuoJon C AsterKoichi OhshimaTakahiro MaedaKoichi AkashiPublished in: Blood advances (2021)
Diffuse large B-cell lymphoma (DLBCL) is the most common B-cell malignancy with varying prognosis after the gold standard rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP). Several prognostic models have been established by focusing primarily on characteristics of lymphoma cells themselves, including cell-of-origin, genomic alterations, and gene/protein expressions. However, the prognostic impact of the lymphoma microenvironment and its association with characteristics of lymphoma cells are not fully understood. Using the nCounter-based gene expression profiling of untreated DLBCL tissues, we here assess the clinical impact of lymphoma microenvironment on the clinical outcomes and pathophysiological, molecular signatures in DLBCL. The presence of normal germinal center (GC)-microenvironmental cells, including follicular T cells, macrophage/dendritic cells, and stromal cells, in lymphoma tissue indicates a positive therapeutic response. Our prognostic model, based on quantitation of transcripts from distinct GC-microenvironmental cell markers, clearly identified patients with graded prognosis independently of existing prognostic models. We observed increased incidences of genomic alterations and aberrant gene expression associated with poor prognosis in DLBCL tissues lacking GC-microenvironmental cells relative to those containing these cells. These data suggest that the loss of GC-associated microenvironmental signature dictates clinical outcomes of DLBCL patients reflecting the accumulation of "unfavorable" molecular signatures.
Keyphrases
- diffuse large b cell lymphoma
- induced apoptosis
- epstein barr virus
- gene expression
- cell cycle arrest
- poor prognosis
- genome wide
- stem cells
- oxidative stress
- endoplasmic reticulum stress
- end stage renal disease
- signaling pathway
- chronic kidney disease
- cell death
- immune response
- high resolution
- mass spectrometry
- newly diagnosed
- long non coding rna
- ms ms
- low dose
- cell therapy
- drug delivery
- machine learning
- patient reported outcomes
- liquid chromatography tandem mass spectrometry
- high performance liquid chromatography
- silver nanoparticles