1
|
Vallentgoed WR, Niers JM, van den Bent MJ, Kouwenhoven MCM, Kros JM, Martin I, van Thuijl HF, van de Wiel MA, Wesseling P, French PJ. OS05.5.A Methylation analysis of matched primary and recurrent IDHmt astrocytoma; an update from the Glioma Longitudinal Analysis NL (GLASS-NL) consortium. Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab180.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
BACKGROUND
The evolutionary processes that drive progression in patients with IDH-mutant astrocytoma remain unclear. The GLASS-NL consortium, as part of the larger worldwide GLASS consortium, was initiated to gain insight into the molecular mechanisms underlying glioma evolution and to identify markers of progression in IDH-mutant astrocytomas. Such markers can ultimately assist clinical decision making. Here, we present the first results of genome wide methylation profiling of samples included in the GLASS-NL study.
MATERIAL AND METHODS
110 adult patients were identified with an IDH-mutant astrocytoma at first diagnosis. All patients underwent a surgical resection of the tumor at least twice, separated by at least 6 months with a median of 40.9 months (IQR: 24.0, 64.7), in 37% and 18% of the cases, patients were treated with radiotherapy or chemotherapy respectively, before surgical resection of the recurrent tumor. Methylation profiling was done on (macro dissected) DNA isolated of 235 samples from 103 patients (102 1st, 101 2nd, 29 3rd, and 3 4th resection), using the Infinium MethylationEPIC BeadChip array. Copy number variations were also derived from these data. Methylation classes were determined according to Capper et al. (2018). Overall survival (OS) was measured from date of first surgery.
RESULTS
Of all primary tumors, the methylation-classifier assigned 85 (87%) to the A_IDH (‘low grade’) subclass and 10 (10%) to the A_IDH_HG (‘high grade’) subclass. The relative proportion of high grade tumors increased ~three-fold at tumor recurrence (32/101, 32%) and even further in the second recurrence (15/29, 52%). The overall DNA-methylation levels of recurrent samples was lower than that of primary samples. This difference is explained by the increased number of high grade samples at recurrence, since near identical DNA-methylation levels were observed in samples that remained low grade. In an unsupervised analysis, methylation data derived from first and second resections of individual patients mostly (79%) cluster together. This indicates that variability between tumors is larger than temporal heterogeneity within tumors. Recurrent samples that do not cluster with their primary tumor, form a separate cluster and have relatively low genome-wide DNA-methylation.
CONCLUSION
Our data demonstrate that methylation profiling identifies a shift towards a higher grade at tumor progression coinciding with reduced genome-wide DNA-methylation levels.
Collapse
Affiliation(s)
| | - J M Niers
- Amsterdam UMC/VUmc, Amsterdam, Netherlands
| | | | | | - J M Kros
- Erasmus MC, Rotterdam, Netherlands
| | - I Martin
- Amsterdam UMC/VUmc, Amsterdam, Netherlands
| | | | | | - P Wesseling
- Amsterdam UMC/VUmc, Amsterdam, Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, Netherlands
| | | |
Collapse
|
2
|
Boele FW, Reijneveld JC, de Witt Hamer PC, van Thuijl HF, Wesseling P, Lagerwaard FJ, Taphoorn MJB, Kouwenhoven MCM, Snijders TJ, Douw L, Klein M. OS09.4.A Health-related quality of life in low-grade glioma survivors 26 years after diagnosis. Neuro Oncol 2021. [DOI: 10.1093/neuonc/noab180.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
BACKGROUND
Many patients with low-grade gliomas (LGGs) continue to survive for many years, yet little is known about patients’ health-related quality of life (HRQOL) in long-term survivorship. We previously investigated HRQOL in LGG patients diagnosed on average 6 years prior to assessment (T1, N=195) with a follow-up in stable patients on average 12 years after diagnosis (T2, N=65). We present a final follow-up of LGG survivors (T3), now decades after diagnosis.
MATERIAL AND METHODS
We invited patients who participated in our previous assessment (N=65), regardless of disease status. Patients completed questionnaires to assess HRQOL, fatigue, and depressive symptoms: Short Form-36 Health Survey (SF-36), European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Brain Tumour Module (EORTC BN20), Checklist Individual Strength (CIS), and the Center for Epidemiological Studies Depression Scale (CES-D). Changes over time (T1-T2-T3) on group level and participant level were assessed.
RESULTS
Of the 65 patients, 18 (27.7%) were deceased, 3 (4.6%) experienced tumour progression to WHO III, 7 (10.8%) declined, and 3 (4.6%) could not be contacted. Thirty-four patients (52.3%) participated. Of these, 2 had missing HRQOL data, with 32 patients included in analysis. Survivors were M=52.0 (sd=11.3) years old and diagnosed M=26.2 (sd=3.7, range 19–35) years prior. On group level, a statistically significant (but not clinically relevant) improvement in mental health (p=0.049), and a clinically relevant (but not statistically significant) decline in emotional role functioning was found. No other group-level changes over time in HRQOL were found. Minimal detectable change in HRQOL scale scores over time was observed in individual participants (28.1% only improvement; 25.0% only decline; 21.9% both improvement and decline) with 25.0% remaining completely stable. At T3, 25.0% of survivors scored above the cut-off for high risk of clinical depression (≥16 CES-D), and 53.1% of survivors classed as severely fatigued (≥35 CIS).
CONCLUSION
In this cohort of LGG survivors, assessed decades after diagnosis and treatment, HRQOL does not appear to be greatly impacted during survivorship. However, depressive symptoms and fatigue remain relatively common. Findings can help inform patients, their families, and clinicians and can serve as a benchmark for treatment trials evaluating interventions that can have very long-term effects.
Collapse
Affiliation(s)
- F W Boele
- University of Leeds, Leeds, United Kingdom
| | - J C Reijneveld
- Amsterdam University Medical Centers, Amsterdam, Netherlands
| | | | - H F van Thuijl
- Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - P Wesseling
- Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - F J Lagerwaard
- Amsterdam University Medical Centers, Amsterdam, Netherlands
| | | | | | - T J Snijders
- University Medical Center Utrecht, Utrecht, Netherlands
| | - L Douw
- Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - M Klein
- Amsterdam University Medical Centers, Amsterdam, Netherlands
| |
Collapse
|
3
|
Jensen RL, Abraham S, Hu N, Jensen RL, Boulay JL, Leu S, Frank S, Vassella E, Vajtai I, von Felten S, Taylor E, Schulz M, Hutter G, Sailer M, Hench J, Mariani L, van Thuijl HF, Scheinin I, van Essen DF, Heimans JJ, Wesseling P, Ylstra B, Reijneveld JC, Borges AR, Larrubia PL, Marques JMB, Cerdan SG, Brastianos P, Horowitz P, Santagata S, Jones RT, McKenna A, Getz G, Ligon K, Palescandolo E, Van Hummelen P, Stemmer-Rachamimov A, Louis D, Hahn WC, Dunn I, Beroukhim R, Guan X, Vengoechea J, Zheng S, Sloan A, Chen Y, Brat D, O'Neill BP, Cohen M, Aldape K, Rosenfeld S, Noushmehr H, Verhaak RG, Barnholtz-Sloan J, Bahassi EM, Li YQ, Cross E, Li W, Vijg J, McPherson C, Warnick R, Stambrook P, Rixe O, Manterola L, Tejada-Solis S, Diez-Valle R, Gonzalez M, Jauregui P, Sampron N, Barrena C, Ruiz I, Gallego J, Delattre JY, de Munain AL, Mlonso MM, Saito K, Mukasa A, Nagae G, Aihara K, Takayanagi S, Aburatani H, Saito N, Kong XT, Fu BD, Du S, Hasso AN, Linskey ME, Bota D, Li C, Chen YS, Chen ZP, Kim CH, Cheong JH, Kim JM, Yelon NP, Jacoby E, Cohen ZR, Ishida J, Kurozumi K, Ichikawa T, Onishi M, Fujii K, Shimazu Y, Date I, Narayanan R, Ho QH, Levin BS, Maeder ML, Joung JK, Nutt CL, Louis DN, Thorsteinsdottir J, Fu P, Gehrmann M, Multhoff G, Tonn JC, Schichor C, Thirumoorthy K, Gordon N, Walston S, Patel D, Okamoto M, Chakravarti A, Palanichamy K, French P, Erdem L, Gravendeel L, de Rooi J, Eilers P, Idbaih A, Spliet W, den Dunnen W, Teepen J, Wesseling P, Smitt PS, Kros JM, Gorlia T, van den Bent M, McCarthy D, Cook RW, Oelschlager K, Maetzold D, Hanna M, Wick W, Meisner C, Hentschel B, Platten M, Sabel MC, Koeppen S, Ketter R, Weiler M, Tabatabai G, Schilling A, von Deimling A, Gramatzki D, Westphal M, Schackert G, Loeffler M, Simon M, Reifenberger G, Weller M, Moren L, Johansson M, Bergenheim T, Antti H, Sulman EP, Goodman LD, Wani KM, DeMonte F, Aldape KD, Krischek B, Gugel I, Aref D, Marshall C, Croul S, Zadeh G, Nilsson CL, Sulman E, Liu H, Wild C, Lichti CF, Emmett MR, Lang FF, Conrad C, Alentorn A, Marie Y, Boisselier B, Carpetier C, Mokhtari K, Hoang-Xuan K, Capelle L, Delattre JY, Idbaih A, Lautenschlaeger T, Huebner A, McIntyre JB, Magliocco T, Chakravarti A, Hamilton M, Easaw J, Pollo B, Calatozzolo C, Vuono R, Guzzetti S, Eoli M, Silvani A, Di Meco F, Filippini G, Finocchiaro G, Joy A, Ramesh A, Smirnov I, Reiser M, Shapiro W, Mills G, Kim S, Feuerstein B, Gonda DD, Li J, McCabe N, Walker S, Goffard N, Wikstrom K, McLean E, Greenan C, Delaney T, McCarthy M, McDyer F, Keating KE, James IF, Harrison T, Mullan P, Harkin DP, Carter BS, Kennedy RD, Chen CC, Patel AS, Allen JE, Dicker DT, Rizzo K, Sheehan JM, Glantz MJ, El-Deiry WS, Salhia B, Ross JT, Kiefer J, Van Cott C, Metpally R, Baker A, Sibenaller Z, Nasser S, Ryken T, Ramanathan R, Berens ME, Carpten J, Tran NL, Bi Y, Pal S, Zhang Z, Gupta R, Macyszyn L, Fetting H, O'Rourke D, Davuluri RV, Ezrin AM, Moore K, Stummer W, Hadjipanayis CG, Cahill DP, Beiko J, Suki D, Prabhu S, Weinberg J, Lang F, Sawaya R, Rao G, McCutcheon I, Barker FG, Aldape KD, Trister AD, Bot B, Fontes K, Bridge C, Baldock AL, Rockhill JK, Mrugala MM, Rockne RR, Huang E, Swanson KR, Underhill HR, Zhang J, Shi M, Lin X, Mikheev A, Rostomily RC, Scheck AC, Stafford P, Hughes A, Cichacz Z, Coons SW, Johnston SA, Mainwaring L, Horowitz P, Craig J, Garcia D, Bergthold G, Burns M, Rich B, Ramkissoon S, Santagata S, Eberhart C, Ligon A, Goumnerova L, Stiles C, Kieran M, Hahn W, Beroukhim R, Ligon K, Ramkissoon S, Olausson KH, Correia J, Gafni E, Liu H, Theisen M, Craig J, Hayashi M, Haidar S, Maire C, Mainwaring LA, Burns M, Norden A, Wen P, Stiles C, Ligon A, Kung A, Alexander B, Tonellato P, Ligon KL. LAB-OMICS AND PROGNOSTIC MARKERS. Neuro Oncol 2012. [DOI: 10.1093/neuonc/nos231] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
|