Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma. Issue 1 (7th November 2019)
- Record Type:
- Journal Article
- Title:
- Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma. Issue 1 (7th November 2019)
- Main Title:
- Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma
- Authors:
- Abdulla, Maysaa
Hollander, Peter
Pandzic, Tatjana
Mansouri, Larry
Ednersson, Susanne Bram
Andersson, Per‐Ola
Hultdin, Magnus
Fors, Maja
Erlanson, Martin
Degerman, Sofie
Petersen, Helga Munch
Asmar, Fazila
Grønbæk, Kirsten
Enblad, Gunilla
Cavelier, Lucia
Rosenquist, Richard
Amini, Rose‐Marie - Abstract:
- Abstract: The tumor cells in diffuse large B‐cell lymphomas (DLBCL) are considered to originate from germinal center derived B‐cells (GCB) or activated B‐cells (ABC). Gene expression profiling (GEP) is preferably used to determine the cell of origin (COO). However, GEP is not widely applied in clinical practice and consequently, several algorithms based on immunohistochemistry (IHC) have been developed. Our aim was to evaluate the concordance of COO assignment between the Lymph2Cx GEP assay and the IHC‐based Hans algorithm, to decide which model is the best survival predictor. Both GEP and IHC were performed in 359 homogenously treated Swedish and Danish DLBCL patients, in a retrospective multicenter cohort. The overall concordance between GEP and IHC algorithm was 72%; GEP classified 85% of cases assigned as GCB by IHC, as GCB, while 58% classified as non‐GCB by IHC, were categorized as ABC by GEP. There were significant survival differences (overall survival and progression‐free survival) if cases were classified by GEP, whereas if cases were categorized by IHC only progression‐free survival differed significantly. Importantly, patients assigned as non‐GCB/ABC both by IHC and GEP had the worst prognosis, which was also significant in multivariate analyses. Double expression of MYC and BCL2 was more common in ABC cases and was associated with a dismal outcome. In conclusion, to determine COO both by IHC and GEP is the strongest outcome predictor to identify DLBCL patientsAbstract: The tumor cells in diffuse large B‐cell lymphomas (DLBCL) are considered to originate from germinal center derived B‐cells (GCB) or activated B‐cells (ABC). Gene expression profiling (GEP) is preferably used to determine the cell of origin (COO). However, GEP is not widely applied in clinical practice and consequently, several algorithms based on immunohistochemistry (IHC) have been developed. Our aim was to evaluate the concordance of COO assignment between the Lymph2Cx GEP assay and the IHC‐based Hans algorithm, to decide which model is the best survival predictor. Both GEP and IHC were performed in 359 homogenously treated Swedish and Danish DLBCL patients, in a retrospective multicenter cohort. The overall concordance between GEP and IHC algorithm was 72%; GEP classified 85% of cases assigned as GCB by IHC, as GCB, while 58% classified as non‐GCB by IHC, were categorized as ABC by GEP. There were significant survival differences (overall survival and progression‐free survival) if cases were classified by GEP, whereas if cases were categorized by IHC only progression‐free survival differed significantly. Importantly, patients assigned as non‐GCB/ABC both by IHC and GEP had the worst prognosis, which was also significant in multivariate analyses. Double expression of MYC and BCL2 was more common in ABC cases and was associated with a dismal outcome. In conclusion, to determine COO both by IHC and GEP is the strongest outcome predictor to identify DLBCL patients with the worst outcome. … (more)
- Is Part Of:
- American journal of hematology. Volume 95:Issue 1(2020:Jan.)
- Journal:
- American journal of hematology
- Issue:
- Volume 95:Issue 1(2020:Jan.)
- Issue Display:
- Volume 95, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 95
- Issue:
- 1
- Issue Sort Value:
- 2020-0095-0001-0000
- Page Start:
- 57
- Page End:
- 67
- Publication Date:
- 2019-11-07
- Subjects:
- Hematology -- Periodicals
616.15 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1096-8652 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ajh.25666 ↗
- Languages:
- English
- ISSNs:
- 0361-8609
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0824.800000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 16692.xml