scholarly journals P21. A molecular classification of multiple myeloma (MM) based on gene expression profiling and fluorescence in situ hybridisation as independent prognostic factor for event free survival (EFS)

2006 ◽  
Vol 4 (6) ◽  
pp. 34-35
Author(s):  
Dirk Hose ◽  
John De Vos ◽  
Carina Ittrich ◽  
Jean-François Rossi ◽  
Thierry Rème ◽  
...  
Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 73-73 ◽  
Author(s):  
Dirk Hose ◽  
Jean-Francois Rossi ◽  
Carina Ittrich ◽  
John deVos ◽  
Axel Benner ◽  
...  

Abstract AIM was to establish a new molecular classification of Multiple Myeloma (MM) based on changes in global gene expression attributable to cytogenetic aberrations detected by interphase FISH (iFISH) in order to (i) predict event free survival (EFS) and (ii) investigate differentially expressed genes as basis for a group specific and risk adapted therapy. PATIENTS AND METHODS. Bone marrow aspirates of 105 newly diagnosed MM-patients (65 trial (TG) / 40 independent validation group (VG)) and 7 normal donors (ND) were CD138-purified by magnetic activated cell sorting. RNA was in-vitro transcribed and hybridised to Affymetrix HG U133 A+B GeneChip (TG) and HG U133 2.0 plus arrays (VG). CCND1 and CCND2 expression was verified by real time RT-PCR. iFISH was performed on purified MM-cells using probes for chromosomes 11q23, 11q13, 13q14, 17p13 and the IgH-translocations t(4;14) and t(11;14). Expression data were normalised (Bioconductor package gcrma) and nearest shrunken centroids (NSC) applied to calculate and cross validate a predictor on 40 patients of the TG with a comprehensive iFISH panel available combined with CCND overexpression. Differentially expressed genes were identified using empirical Bayes statistics for pairwise comparison. RESULTS. Overexpression of a D-type cyclin (D1 or D2) was found in 61/65 patients with MM compared to ND. CCND3 overexpression only appeared concomitantly with CCND2 overexpression. Four groups could be distinguished: (1.1) CCND1 (11q13) overexpression and trisomy 11q13, (1.2) CCND1 overexpression and translocations involving 11q13 i.e. t(11;14), (2.1) CCND2 overexpression without 11q13+, t(11;14), t(4;14), (2.2) CCND2 overexpression with t(4;14) and FGFR3 upregulation. A predictor of 6 to 566 genes correctly classifies all 40 patients of the TG (estimated cross validated error rate 0%). An independent VG of 40 patients was used. Genes with highest scores in NSC are: (1.1) CCND1, ribosomal proteins (e.g. RPL 28, 29), GPX1, CCRL2, (1.2) CCND1, TGIF, and NCAM (non-overexpression), (2.1) CCND2, (2.2) FGFR3, WHSC1, CCND2, IRTA2, SELL, and MAGED4. Distribution of clinical parameters (i.e. β2M, Durie Salmon stages, ISS) was not significantly different between the groups. The distribution of del(13)(q14q14) was (1.1) 31.5%, (1.2) 37.5%, (2.1) 37.5% and (2.2) 100%. (p<0.01). I.e. HGF, DKK1, VCAM, CD163 are differentially expressed between all 4 groups and ND (adjusted p<0.001). The groups defined by the predictor show a significantly different EFS after autologous stem cell transplantation according to the GMMG-HD3 protocol (median: (1.1) 18 / (1.2) not reached (no event) / (2.1) 22 / (2.2) 6 months; log-rank-test: p=0.004). CONCLUSION. CCND1 or CCND2 overexpression is nearly ubiquitous in MM and attributable to defined cytogenetic aberrations. Gene expression and iFISH allow a molecular classification of MM which can be predicted by gene expression profiling alone. Groups in the classification show a distinctive pattern in gene expression as well as a different EFS interpretable as risk stratification and indicator of therapeutic targets.


Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3401-3401
Author(s):  
Maud Condomines ◽  
Dirk Hose ◽  
Thierry Reme ◽  
Michael Hundemer ◽  
John De Vos ◽  
...  

Abstract Cancer-testis (CT) antigens are expressed in testis and malignant tumors, but rarely in non-gametogenic tissues. Due to this pattern, they represent attractive targets for cancer vaccination approaches. The aims of the present study were (1) to assess for the first time the expression of CT genes on a pangenomic basis in multiple myeloma (MM), (2) to provide selection strategies of CT antigens for clinical vaccination trials and (3) to assess the impact of CT gene expression on event-free survival. We report here the expression pattern of CT genes in purified MM cells (MMC) of 64 patients with newly-diagnosed MM, 12 patients with monoclonal gammopathy of unknown significance (MGUS), in normal plasma cell and B cell samples and in 20 MMC lines, using gene expression profiling (GEP). Out of 46 CT genes interrogated by the Affymetrix HG U133 Set arrays, 35 were expressed in MMC of at least one patient, according to the Affymetrix “present” call (frequency range: 2% – 66%). Of these, 24 CT genes were expressed in more than 5% of the MMC samples and 25 are located on chromosome X. MMC of 98% of the patients expressed at least one CT gene, 86% at least two, and 70% at least three CT genes. By using a set of 10 CT genes including KM-HN-1, MAGE-C1, MAGE-A3/6/12, MAGE-A5, MORC, DDX43, SPACA3, SSX-4, GAGE-1–8 and MAGE-C2, a combination of at least three CT genes - desirable to circumvent tumor escape mechanisms and immune tolerance - could be obtained in MMC of 67% of the patients. Thus, gene expression profiling can be used to select CT antigens as vaccination targets in individual patients. In a series of MMC from 111 patients treated with the same high-dose chemotherapy and autologous peripheral blood stem cell transplantation protocol and having a median two-year follow-up, we found that the expression of six CT genes, i.e. CTAG-1B, CTAG-2, MAGE-A1, MAGE-A2, MAGE-A3 and MAGE-A6 was associated with a shorter event-free survival (EFS). Furthermore, considering only the 25 CT genes encoded by chromosome X, a CT-Xhigh cluster comprising MMC of one third of the patients (35 of 111) could be defined using a binary hierarchical clustering based on Affymetrix call. Patients in the CT-Xhigh cluster had a shorter EFS (median 13 months) compared to patients in the CT-Xlow cluster (median 18 months, P = .003). The CT-Xhigh clsuter included more patients with a stage III disease (P = .004). These results confirm data from previous studies indicating that patients expressing some CT genes located on chromosome X have a poor outcome.


2018 ◽  
Vol 20 (suppl_2) ◽  
pp. i140-i140
Author(s):  
Kavneet Kaur ◽  
Pankaj Pathak ◽  
Prerana Jha ◽  
Ajay Garg ◽  
Vaishali Suri ◽  
...  

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 507-507
Author(s):  
Dirk Hose ◽  
Jean-François Rossi ◽  
Carina Ittrich ◽  
John De Vos ◽  
Thierry Rème ◽  
...  

Abstract AIM was to test the new molecular classification of MM based on changes in global gene expression attributable to cytogenetic aberrations detected by interphase FISH (iFISH) in order to (i) predict EFS in a group of 100 MM-patients treated by high dose chemotherapy, and (ii) to investigate whether the classification represents an independent prognostic factor. PATIENTS AND METHODS. Bone marrow aspirates from MM-patients and normal donors were CD138-purified by magnetic activated cell sorting. RNA was in-vitro transcribed and hybridised to Affymetrix HG U133 A+B GeneChip (TG) and HG U133 2.0 plus array (VG). CCND1, CCND2 and FGFR3 expression was verified by real time RT-PCR and western blotting. iFISH was performed on purified MM-cells using probes for chromosomes 11q23, 13q14, 17p13 and the IgH-translocations t(4;14)(p16;q32.3) and t(11;14)(q13;q32.3). Expression data were normalised (Bioconductor package gcrma), and nearest shrunken centroids (NSC) applied to calculate and cross validate a predictor on a training group (TG) of 40 patients in whom a comprehensive iFISH panel combined with data on CCND overexpression were available. The ExpressMiner tool of the HUSAR bioinformatics laboratory was used to analyze genes differentially expressed between GEP-defined groups. A log-rank test and a Cox proportional hazard model were used to test the influence of prognostic parameters in combination with the predicted groups. RESULTS. Four groups were distinguished: (1.1) CCND1 (11q13) overexpression and trisomy 11q13, (1.2) CCND1 overexpression and translocations involving 11q13, i.e. t(11;14), (2.1) CCND2 overexpression without 11q13+, t(11;14), t(4;14), (2.2) CCND2 overexpression with t(4;14) and FGFR3 upregulation. A predictor of 6 genes correctly classified all 40 patients of the TG (estimated cross validated error rate 0%). An independent validation group (VG) of 65 patients was used. Distribution of clinical parameters (i.e. beta2M, Durie Salmon stages, ISS) was not significantly different between the 4 groups. The groups defined by the predictor have a significantly different EFS after autologous stem cell transplantation according to the GMMG-HD3 protocol (n=100; median: 26 /not reached /22 /6 months in groups 1.1 /1.2 /2.1 /2.2, respectively). A model testing the combination of the predicted group and B2M (above or below 3.5 mg/dl) showed a significant (p&lt;0.006, log-rank-test) correlation with EFS. The distribution of del(13q14) (n=118) was (1.1) 34.0%, (1.2) 60.8%, (2.1) 46.4% and (2.2) 94%. The presence of a del(13q14) either in a subclone (&lt;60% of analyzed nuclei) or major clone had no significant influence on EFS. CONCLUSION. Gene expression and iFISH allow a molecular classification of MM which can be predicted by GEP. Groups in the classification have distinct gene expression patterns as well as statistically significant different EFS. GEP-defined groups and B2M represent independent prognostic parameters.


Blood ◽  
2010 ◽  
Vol 116 (14) ◽  
pp. 2543-2553 ◽  
Author(s):  
Annemiek Broyl ◽  
Dirk Hose ◽  
Henk Lokhorst ◽  
Yvonne de Knegt ◽  
Justine Peeters ◽  
...  

Abstract To identify molecularly defined subgroups in multiple myeloma, gene expression profiling was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/GMMG-HD4 trial. Hierarchical clustering identified 10 subgroups; 6 corresponded to clusters described in the University of Arkansas for Medical Science (UAMS) classification, CD-1 (n = 13, 4.1%), CD-2 (n = 34, 1.6%), MF (n = 32, 1.0%), MS (n = 33, 1.3%), proliferation-associated genes (n = 15, 4.7%), and hyperdiploid (n = 77, 24.1%). Moreover, the UAMS low percentage of bone disease cluster was identified as a subcluster of the MF cluster (n = 15, 4.7%). One subgroup (n = 39, 12.2%) showed a myeloid signature. Three novel subgroups were defined, including a subgroup of 37 patients (11.6%) characterized by high expression of genes involved in the nuclear factor kappa light-chain-enhancer of activated B cells pathway, which include TNFAIP3 and CD40. Another subgroup of 22 patients (6.9%) was characterized by distinct overexpression of cancer testis antigens without overexpression of proliferation genes. The third novel cluster of 9 patients (2.8%) showed up-regulation of protein tyrosine phosphatases PRL-3 and PTPRZ1 as well as SOCS3. To conclude, in addition to 7 clusters described in the UAMS classification, we identified 3 novel subsets of multiple myeloma that may represent unique diagnostic entities.


2004 ◽  
pp. 58-60
Author(s):  
R Abraham ◽  
R Fonseca ◽  
M Manske ◽  
T Price-Troska ◽  
M Gertz ◽  
...  

2004 ◽  
Vol 165 (2) ◽  
pp. 565-576 ◽  
Author(s):  
Carl Morrison ◽  
William Farrar ◽  
Jeff Kneile ◽  
Nita Williams ◽  
Yiwen Liu-Stratton ◽  
...  

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 5023-5023
Author(s):  
Jacob Haaber ◽  
Anne G. Sørensen ◽  
Anne Nibe ◽  
Ole Nielsen ◽  
Niels Abildgaard ◽  
...  

Abstract 192 patients with multiple myeloma (MM) and benign monoclonal gammopathy of undetermined significance (MGUS, n=10) were investigated by interphase fluorescence in-situ hybridisation (iFISH) without (n= 132) and with positive plasma cell identification (PC-ID+) (n= 50). 134 were investigated at diagnosis 32 at time of progression, 7 at time of relapse and 9 were investigated with partial remission or no response. 10 of the MM cases were investigated twice. The patients were investigated with FISH probes detecting 11q23 (n=61), 13q13-14 (n=181), 14q32 ((n=121), 17p13.1 (n=181), t(4;14) (n=76) and t(11;14) (n=73). 61/132 (46%) of patients investigated without PC-ID+ showed abnormalities as opposed to 45/49 of evaluable cases (92%) with PC-ID+. The increase in abnormal cases was mainly due to the detection of more cases with loss of 13q and 17p and der(14)(q32): For patients investigated at diagnosis without and with PC-ID+, respectively: 13q-: 17% and 28%, 17p-: 3% and 15%, and 14q split signals (excluding the specific translocations): 8% and 24%. Based on the relatively small number investigated, the t(4;14) and the t(11;14) were not detected more frequently. G-band cytogenetics was carried out in 72 patients (25 without PC-ID+ and 47 with PC-ID+). 19 cases were abnormal (26%). Concordance for 1 or more aberration was found in 14 patients. t(11;14) was detected by both methods in 4 of 5 patients. Out of 7 cases with either near-tetraploidy/triploidy or hypoploidy in the G-band karyotypes, the modal number in the G-banded karyotypes could not be elucidated with certainty in 4 by iFISH with the applied probes. 7/10 patients investigated twice by iFISH showed new abnormalities on reinvestigation, 5 of these had a normal 1st analysis. 3 of 10 MGUS patients showed abnormalities. In conclusion, PC-ID+ is important for the detection of numerical aberrations and disclosing translocations involving 14q32, as translocations involving the IgH locus are frequent occurring in 64 % (n = 32) at diagnosis. Of these the t(4;14) and the t(11;14) constituted 8% and 20%, respectively. Re-examination of patients with a normal analysis should be considered in non-responders and progressing patients. Lastly, by applying the set of probes we chose in accordance with the proposed recommendations from the European Myeloma Network FISH Workshop, Royal Marsden Hospital, London UK, March 2005, failure to accurately the exsistence of detect near-tetraploid/near-triploid-, and hypoploid clones, is not insignificant (26%) and, based on the small number of cytogenetically abnormal cases it is recommended to include extra probes to classify the patients according to modal number by iFISH.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 162-162 ◽  
Author(s):  
Bart Barlogie ◽  
Elias J. Anaissie ◽  
John D. Shaughnessy ◽  
Frits van Rhee ◽  
Mauricio Pineda-Roman ◽  
...  

Abstract We have previously reported on the remarkable activity of the TT3 program that incorporated both bortezomib (V) and thalidomide (T) into the up-front management of 303 patients. TT3 consisted of 2 cycles each of induction prior to and of dose-reduced consolidation therapy with VTD-PACE (cisplatin, doxorubicin, cyclophosphamide, etoposide) after melphalan 200mg/m2 (M200)-based tandem transplants, followed by maintenance therapy for 3 years with VTD and, in later stages, VRD (substituting T for lenalidomide, R). Characteristics included a median age of 59yr (range, 33–75yr), B2M &gt;=4mg/L in 37%, albumin &lt;3.5g/dL in 26%, ISS stages II and III in 33% and 21%, cytogenetic abnormalities (CA) in 33% and gene expression profiling (GEP)-defined high-risk MM in 15% of the 275 patients with such data. With a median follow-up of 39 months, 4-yr overall survival (OS) and event-free survival (EFS) estimates were 78% and 71%, respectively, including 84% and 77% among the 85% with GEP-defined low-risk MM contrasting with 43% and 33% in the remainder with high-risk MM (both p&lt;0.0001). Near-CR and CR, attained in 86% and 63%, were sustained at 4 years from response onset in 78% and 87%, which pertained to 83% and 90% with low-risk MM but to only 44% and 57% with high-risk MM (all p &lt;0.0001). These results were corroborated in a TT3 extension trial (TT3E) that enrolled 175 additional patients, comprising higher proportions of CA (42%) and GEP-defined high-risk MM (21%). Two-year estimates of OS and EFS are 85% and 85%, with 94% and 92% in low-risk patients versus 61% and 62% in high-risk MM (p=0.0001, p=0.0003); the 2-yr estimate of remaining in CR is 93% including 100% in low-risk and 77% in high-risk MM (p=0.01). Multivariate analysis of features linked to OS in TT3 included GEP-defined high-risk, CA, B2M and LDH elevation, collectively accounting for 41% of outcome variability by R2 statistics; the corresponding R2 values for EFS and n-CR duration were 38% and 39%. Compared to the predecessor trial, TT2, that evaluated the role of T in a randomized trial design in 668 patients, TT3 data were superior for OS (p=0.08), EFS (&lt;0.0001), n-CR duration (p&lt;0.0001) and CR duration (p=0.0002). In the low-risk subgroup, EFS (p=0.0001), n-CR duration (p&lt;0.0001) and CR duration (Figure 1a; p=0.0002) all were superior in TT3 versus TT2; whereas, in the high-risk MM group, outcomes remained poor also with TT3 despite superior EFS (Figure 1b; p=0.03). Based on these data, we have now started a GEP-risk-based algorithm of assigning separate therapies to good-risk (TT4) and poor-risk MM (TT5). As the TT3 results for low-risk are difficult to improve upon, TT4 randomizes patients between standard TT3 and TT3-LITE that employs only 1 cycle each of induction and consolidation (with anticipated further improvement in compliance) and 4-day-fractionated M50×4 to enable the addition of VTD and thus exploit synergistic drug interactions to occur. In order to sustain tolerable effective therapies for at least 3 years and prevent recurrence from previous drug-free or insufficiently effective phases in TT3, TT5 for high-risk MM employs less dose-intense and more dose-dense highly synergistic combination therapy, utilizing M10-VTD-PACE for induction, M80 (in 4 daily fractions of M20) plus VRD-PACE tandem transplants, separated by 2 cycles of M20 (in 4 daily fractions of M5) plus VTD-PACE, and followed by 2 years of monthly alternating R-VD and M-VD. Figure 1a: Superior CR duration with TT3 v TT2 in GEP-low-risk MM: Figure 1a:. Superior CR duration with TT3 v TT2 in GEP-low-risk MM: Figure 1b: Superior event-free survival with TT3 v TT2 in GEP-high-risk MM: Figure 1b:. Superior event-free survival with TT3 v TT2 in GEP-high-risk MM:


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