Abstract
Background
Brain tumors represent one of the main causes of cancer‐related mortality in young patients. Among them, oligodendrogliomas (OG) are adult‐type diffuse gliomas with the best prognosis. Nevertheless, characterization of these tumors in the young population remains poorly documented. Our objective was to characterize the population of young adults under 40 years of age with grade 3 OG in the POLA cohort.
Methods
Clinical data prospectively collected for all patients registered with grade 3 OG between April 2009 and August 2021 were extracted from the national POLA database. This study compared the patient subgroup <40 years of age to the one >40 years of age.
Results
The authors included 111 patients <40 years old and 363 patients ≥40 years old. Treatment received did not differ significantly between the two subgroups. Temporal location was more frequent in older patients (p = .009). Patients <40 years old presented more often seizure as initial symptom (p = .003). They had less frequent chromosome 9p loss (p < .001) and less CDKN2A homozygous deletion (p = .024). Median progression‐free survival (PFS) was 123 months (range, 86–not reached [NR]) versus 88 months (range, 67–117) (p = .082) and median overall survival (OS) was not reached (range, 147–NR) versus 163 months (range, 137–NR) (p < .001) in younger and older subgroups, respectively. In multivariate analysis, complete or subtotal resection (p = .014) and seizure at diagnosis (p = .032) were associated with better OS.
Conclusion
Young patients with grade 3 OG have distinct clinical presentation, molecular features, and outcomes compared to the older patients.
Keywords: glioma, grade 3 oligodendroglioma, molecular features, prognostic factors, young patient
Short abstract
Young patients under 40 years of age with grade 3 oligodendroglioma show distinct molecular profiles, including fewer CDKN2A deletions and specific chromosomal abnormalities, compared to those over 40. Despite similar treatment approaches, younger patients have significantly longer overall survival, highlighting age‐related prognostic differences.
INTRODUCTION
Global support and treatment of young patients with cancer is one of the major challenges of current oncology. Different publications suggest a distinct clinical, radiological, and biological presentation between young and older patients. These have notably been reported in lung and breast cancer. 1 , 2 In neuro‐oncology, differences have also been suggested in epidemiology, histology, biology, survival rates, and overall treatment approaches between younger and older patients. 3 , 4 , 5 Given the lower incidence of cancer in young patients, they are often under‐represented in clinical trials and their standards of care are not always well defined. Regarding post‐cancer issues, the challenges encountered by the younger population (socio‐professional reintegration) will be different than those of older patients and require dedicated management and follow‐up.
Brain and central nervous system (CNS) tumors represent the first cause of mortality by cancer in occidental countries and the third worldwide (after leukemia and breast cancer) in the young population of patients under 40 years old (GLOBOCAN 2020). Adult‐type diffuse gliomas are the most common primary malignant brain tumors. Among them, oligodendrogliomas (OGs) are associated with the best prognosis. From a molecular point of view, OG are characterized by 1p19q codeletion and mutation of the isocitrate dehydrogenase (IDH) 1 or 2 genes. 6 The survival of patients with OG has improved markedly over the last decades thanks to the combination of radiotherapy (RT) and chemotherapy (CT). 7 Clinical and molecular features of these young patients may differ from those of older patients.
This study aims to characterize the clinical presentation, molecular characteristics, therapeutic management, and survival of patients <40 years old with grade 3 OG (3OG) compared their older counterpart, from the prospective French national POLA cohort.
MATERIALS AND METHODS
Study design and data source
The POLA (Prise en charge des Oligodendrogliomes Anaplasiques) network is a national structure, labeled in 2009 by the French National Cancer Institute, whose the aims are to provide a centralized pathological review and molecular analysis, to harmonize management, and to constitute a prospective database on high‐grade de novo adult gliomas with an oligodendroglial component. From April 2009 to August 2021, 754 patients with World Health Organization (WHO) 3OG, IDH‐mutant, and 1p/19q‐codeleted, were included in the POLA cohort. All patients, except those included in the POLCA trial (NTC02444000), were included in the present study. A prospective record of medical, radiological, histological data, and treatment patterns was performed. The evaluation of surgical resection is performed by the neurosurgeon based on early postoperative imaging and intraoperative observations; a subtotal resection is defined as the removal of at least 90% of the enhanced tumor. In the POLA network, no centralized review is performed.
All patients were analyzed and segregated according to their age at diagnosis, with a threshold of 40 years defining the young population. We used the definition of the US National Cancer Institute for predetermining the threshold. 8 , 9
The study was approved by a national ethics committee. Patients prospectively included into the POLA cohort provided their written consent for clinical data collection and molecular analysis according to national and POLA network policies.
Data collection
For all patients at diagnosis, we collected: clinical characteristics (sex, past medical post‐surgery Karnofsky performance status [KPS]), symptoms (seizure, intracranial hypertension [based only on the presence of clinical symptoms], focal deficit, cognition, phasic, or memory impairment), radiological characteristics on magnetic resonance imaging (MRI), and treatment (surgery type and adjuvant treatment).
First‐line treatment received after surgery were “wait and see,” RT alone, CT alone, and RT in combination with CT. RT included conventional radiation therapy (60 Gy delivered in 30 fractions). RT with temozolomide (TMZ) was defined by Stupp protocol. First‐line CT treatments included TMZ or procarbazine, CCNU, and vincristine (PCV) schedule. The tumor response and date of progression was assessed based on RANO criteria. 10
Molecular analysis
Automated immunohistochemistry was performed on 4 µm‐thick formalin‐fixed paraffin‐embedded (FFPE) sections with an avidin–biotin–peroxidase complex on Benchmark XT (Ventana Medical System Inc, Tucson, Arizona) using the Ventana Kit including DAB reagent to search for the expression of IDH1 R132H (Dianova, H09). When the immunostaining of the IDH1 R132H protein was negative or unreliable, the status of IDH1 and IDH2 mutation was assessed by direct sequencing using the Sanger method and primers, as described previously. 11
Tumor DNA was extracted from frozen tissue, if available, or from FFPE samples using the iPrep ChargeSwitch Forensic Kit. Qualification and quantification of tumor DNA were performed using a NanoVue spectrophotometer and gel electrophoresis, respectively. The genomic profile and assessment of the 1p/19q codeletion status were determined as described previously. 12 When the available quantity was insufficient to perform single‐nucleotide polymorphism or comparative genomic hybridization, microsatellite analysis was conducted instead. The 1p and 19q chromosomal regions were assessed using polymerase chain reaction techniques described elsewhere. 13 , 14 Results of molecular analyzes are extracted from the POLA electronic case report as previously reported. 15 The 9p deletion was defined by the loss of one or both short arms of chromosome 9. The CDKN2A gene deletion specifically referred to the homozygous loss of region 9p21.3, which corresponds to the location of the CDKN2A gene on the short arm of chromosome 9.
Statistical analysis
Patient and tumor characteristics are presented by standard descriptive statistics (mean, standard deviation, median and ranges for quantitative variables, and counts and frequency for categorical variables). To perform the receiver operating characteristic (ROC) analysis, we plotted the curve representing sensitivity against the false–positive rate at various thresholds, allowing us to determine the optimal age cutoff as a prognostic factor. For correlation analysis, continuous variables were compared using the Mann–Whitney U test. The χ2 test (or Fisher exact test) was used to compare qualitative variables. Progression‐free survival (PFS) was defined as the time from the date of surgery to recurrence or death from any cause, censored at the date of last contact. Overall survival (OS) was defined as the time from the date of surgery to death from any cause, censored at the date of last contact. Factors associated with PFS and OS were determined in univariate and multivariate analyses. PFS and OS were estimated using the Kaplan–Meier method and compared with the log‐rank test. Cox proportional hazards models were used for multivariate analyses and for estimating hazard ratios in survival regression models. All statistical tests were two‐sided, and the threshold for statistical significance was p = .05. Statistical analyses were performed using Graph Pad Prism V5.01 and on R software (version 4.3.1).
RESULTS
Patient characteristics
After exclusion of patients from the POLCA trial and exclusion of patients without a diagnosis of 3OG after molecular reclassification, 6 474 patients with 3OG were included. At diagnosis, the median age was 49 (range, 19–87), and 7.7% of patients had a KPS <70. The main neurological symptoms at diagnosis were seizure (56.3%), intracranial hypertension (29.1%), cognitive dysfunctions (15%), and focal deficits (11.2%). Complete resection was achieved in 27.8% of patients. As adjuvant treatment, patients were followed (wait and see), received RT only, CT only, Stupp protocol, or RT with PCV in 5.5%, 19.8%, 14.1%, 20.0%, and 36.9%, respectively (Table 1). Except for 1p/19q‐codeletion, which by definition was present in all tumors, the most observed chromosome alterations were chromosome 9p loss (27.8%), gain of chromosome 7 (9.7%), and chromosome 10q loss (6.8%). CDKN2A homozygous deletions were present in 4.6%. Regarding mutations, the most observed alterations were hTERT gene mutation (93%), FUBP1 gene mutation (27.7%), and CIC gene mutation (21.3%) (Table 2). A ROC analysis was performed to determine the optimal cutoff for the age as prognostic factor. The area under the curve was 0.681 (95% confidence interval [CI], 0.621–0.736; p < .001), and the optimal cutoff was 50.3 years old with 66.7% of sensitivity and 62.9% of specificity (Figure S1).
TABLE 1.
Characteristics of both cohorts (clinical, symptoms, radiology, and treatment).
| Characteristics | Total | Group <40 years old (n = 111) | Group ≥40 years old (n = 363) | p | ||||
|---|---|---|---|---|---|---|---|---|
| No. | Total | No. | % | Total | No. | % | ||
| Pathology | ||||||||
| Atypia | 474 | 111 | 363 | .990 | ||||
| No | 49 | 44 | 160 | 44 | ||||
| Yes | 62 | 56 | 203 | 56 | ||||
| Necrosis | 421 | 111 | 310 | .369 | ||||
| No | 81 | 73 | 280 | 90 | ||||
| Yes | 30 | 27 | 30 | 10 | ||||
| Vascular proliferation | 473 | 111 | 362 | .417 | ||||
| No | 24 | 22 | 92 | 25 | ||||
| Yes | 87 | 78 | 270 | 75 | ||||
| Calcification | 470 | 110 | 360 | .068 | ||||
| No | 74 | 67 | 207 | 57 | ||||
| Yes | 36 | 33 | 153 | 43 | ||||
| Immunohistochemistry | ||||||||
| GFAP expression | 467 | 110 | 357 | .050 | ||||
| No | 32 | 29 | 72 | 20 | ||||
| Yes | 78 | 71 | 285 | 80 | ||||
| OLIG2 expression | 468 | 110 | 358 | .435 | ||||
| No | 0 | 0 | 2 | 1 | ||||
| Yes | 110 | 100 | 356 | 99 | ||||
| INA expression | 465 | 109 | 356 | <.001 | ||||
| No | 28 | 26 | 40 | 11 | ||||
| Yes | 81 | 74 | 316 | 89 | ||||
| Ki67 <15% | 473 | 111 | 362 | .164 | ||||
| No | 78 | 70 | 278 | 77 | ||||
| Yes | 33 | 30 | 84 | 23 | ||||
| Molecular alterations | ||||||||
| CIC gene mutation | 167 | 40 | 127 | .239 | ||||
| No | 19 | 47 | 47 | 37 | ||||
| Yes | 21 | 53 | 80 | 63 | ||||
| FUBP1 gene mutation | 119 | 28 | 91 | .913 | ||||
| No | 20 | 71 | 66 | 73 | ||||
| Yes | 8 | 29 | 25 | 27 | ||||
| hTERT gene mutation | 404 | 92 | 312 | .805 | ||||
| No | 6 | 7 | 22 | 7 | ||||
| Yes | 86 | 93 | 290 | 93 | ||||
| CDKN2A homozygous deletion | 399 | 99 | 300 | .024 | ||||
| No | 98 | 99 | 279 | 93 | ||||
| Yes | 1 | 1 | 21 | 7 | ||||
| Chromosomic | ||||||||
| Chromosome 7 gain | 456 | 107 | 349 | .306 | ||||
| No | 99 | 92 | 311 | 89 | ||||
| Yes | 8 | 8 | 38 | 11 | ||||
| Chromosome 9p loss | 458 | 108 | 350 | <.001 | ||||
| No | 93 | 86 | 233 | 67 | ||||
| Yes | 15 | 14 | 117 | 33 | ||||
| Chromosome 10q loss | 459 | 108 | 351 | .820 | ||||
| No | 101 | 93 | 326 | 93 | ||||
| Yes | 7 | 7 | 25 | 7 | ||||
Abbreviations: PCV, procarbazine + CCNU + vincristine; RT, radiotherapy; TMZ, temozolomide.
TABLE 2.
Characteristics of both cohorts (pathology, molecular biology, and chromosomic alterations).
| Factors | PFS | OS | ||||
|---|---|---|---|---|---|---|
| Univariate | Multivariate | Univariate | Multivariate | |||
| p | p | HR (95% CI) | p | p | HR (95% CI) | |
| Age, years | .471 | .637 | ||||
| Sex (women vs. men) | .207 | .209 | ||||
| KPS post‐surgery (<70%) | .122 | .15 | ||||
| Seizure (yes vs. no) | .189 | .141 | 0.57 (0.27–1.21) | .003 | .032 | 0.32 (0.11–0.91) |
| Mass effect (yes vs. no) | .006 | .022 | 4.20 (1.23–14.3) | .142 | ||
| Surgery (CR + STR vs. PR + B) | .147 | .587 | 0.81 (0.38–1.72) | .079 | .014 | 0.26 (0.09–0.76) |
| Radiation therapy (yes vs. no) | .915 | .997 | ||||
| Ki67 (cutoff: 15%) | .830 | .602 | ||||
| P53 expression (yes vs. no) | .433 | .614 | ||||
| GFAP expression (yes vs. no) | .444 | .043 | .143 | 1.01 (0.98–1.03) | ||
| Pathological groups | .113 | .02 | .085 | 2.01 (0.91–4.44) | ||
| Group 2 | .587 | .148 | ||||
| Group 3 | .135 | .047 | .121 | 5.69 (0.63–51.3) | ||
| INA expression (yes vs. no) | .570 | .511 | ||||
| Chromosome 7 gain (yes vs. no) | .462 | .783 | ||||
| Chromosome 9p loss (yes vs. no) | .699 | .037 | .27 | 1.91 (0.61–5.99) | ||
Abbreviations: B, biopsy; CI, confidence interval; CR, complete resection; HR, hazard ratio; KPS, Karnofsky performance status; OS, overall survival; PFS, progression‐free survival; PR, partial resection; STR, subtotal resection.
Comparison between young (40 years old) to the rest of population
Clinical and radiologic data
Among the 474 patients, 111 patients were younger than 40 years, and 363 patients were ≥40 years old at initial diagnosis (Table 1). Median age in the younger group was 34 years (range, 19–39) whereas median age in the older group was 54 years (range, 40–87). Seizure was more frequent at diagnosis in the younger group than in the older (70% in <40 vs. 53% in ≥40, p = .003). There was no significant difference between both groups for neuroimaging characteristics (necrosis, calcification, edema, mass effect, and contrast enhancement). Nevertheless, tumors were more frequently located in the temporal lobe in the older group (11% in <40 vs. 23% in ≥40, p = .009) (Figure 1). Regarding the surgical approaches, there was no significant difference in the younger group than in the older (p = .089). In the younger group (14% and 38%) and in the older group (23% and 39%) received Stupp protocol or RT with PCV, respectively.
FIGURE 1.

Distribution of tumor locations in (A) young adults <40 years old and (B) older patients ≥40 years old. Mann‐Whitney U test for frontal lobe (p = .076), temporal lobe (p = .009), parietal lobe (p = .114), occipital lobe (p = .133), corpus callosum (p = .392), and insular lobe (p = .136).
Histological and molecular data
Histopathological characteristics, including atypia, necrosis, vascular proliferation, and calcification, were not significantly different between younger and older 3OG (Table 2). Regarding protein expression, glial fibrillary acidic protein (GFAP) and α‐internexin (INA) expression differed between both subgroups, with GFAP expression positive in 71% of younger patients versus 80% of older patients (p = .050) and INA expression positive in 74% of younger patients versus 89% in older patients (p < .001). Finally, proliferation index did not differ between these two groups: Ki67‐positive expression was ≥15% in 70% of younger patients versus 77% of older patients. Interestingly, molecular profiles were significantly different between younger and older 3OG patients. In the older group, patients presented with more frequent molecular alterations including more frequent CDKN2A homozygous deletions (1% in <40 vs. 7% in ≥40, p = .024) (Table 2). Concerning chromosome alterations, chromosome 9p loss (16% in <40 vs. 33% in ≥40, p = .022) was more frequent in the older subgroup. All feature differences between the two populations are summarized in Figure 2.
FIGURE 2.

Impact of young age (<40 years) versus older age on clinical (A) and molecular (B) characteristics. Chrom indicates chromosome.
Survival
The median follow‐up was 95 months for both groups. Median PFS was 123 months (95% CI, 86–NR) versus 88 months (95% CI, 67–117) (p = .082) and median OS was not reached (95% CI, 147–NR) versus 163 months (95% CI, 137–NR) (p < .001) for younger and older subgroups, respectively (Figure 3A,B). Regarding the young population (<40 years old) in univariate analysis, the presence of mass effect on MRI (p = .006) and the presence of a focal deficit (p = .008) (Figure S2) were associated with poor PFS. Absence of seizure (p = .003) (Figure S3), GFAP expression (p = .043), chromosome 9p loss (p = .037), pathological groups (defined in three groups: group 1, high mitotic count only; group 2, microvascular proliferation [MVP] and no necrosis; and group 3, MVP) (p = .02), and partial resection or biopsy (p = .079) (Figure S4) were associated with poor OS. In multivariate analysis, mass effect (p = .022) remained significantly associated with a poor PFS. Absence of seizure (p = .026) and partial resection or biopsy (p = .038) remained significantly associated with a poor OS. The prognostic factors observed in the young population are reported in Table 3. The prognostic factors observed in the older population were different than in the younger population. These are reported in Table S1. Finally, among younger patients, 19 died during the follow‐up. The characteristics of these patients do not seem to reflect a specific pattern: in this group, seven patients had mass effect, seven patients had Ki67 >15%, six patients had chromosome 9p loss (including one patient with homozygous deletion of CDKN2A), and only two patients received PCV in first‐line treatment (Table S2).
FIGURE 3.

Progression‐free survival (A) and overall survival (B) of patients according to their age subgroups.
TABLE 3.
Prognostic factors for PFS and OS in the young patients <40 years old.
| Characteristics | Total | Group <40 years old (n = 111) | Group ≥40 years old (n = 363) | p | ||||
|---|---|---|---|---|---|---|---|---|
| No. | Total | No. | % | Total | No. | % | ||
| Clinical | ||||||||
| Sex | 474 | 111 | 363 | .844 | ||||
| Female | 45 | 41 | 151 | 42 | ||||
| Male | 66 | 59 | 212 | 58 | ||||
| Systemic medical history | 445 | 99 | 346 | <.001 | ||||
| No | 57 | 58 | 121 | 35 | ||||
| Yes | 42 | 42 | 225 | 65 | ||||
| Personal tumor history | 446 | 98 | 348 | <.001 | ||||
| No | 91 | 93 | 270 | 78 | ||||
| Yes | 7 | 7 | 78 | 22 | ||||
| Familial nervous system tumor history | 360 | 72 | 288 | .609 | ||||
| No | 48 | 67 | 201 | 70 | ||||
| Yes | 24 | 33 | 87 | 30 | ||||
| Karnofsky performance status | 360 | 81 | 279 | .142 | ||||
| ≥70 | 78 | 96 | 255 | 91 | ||||
| <70 | 3 | 4 | 24 | 9 | ||||
| Symptoms | ||||||||
| Seizure | 466 | 109 | 357 | .003 | ||||
| No | 33 | 30 | 166 | 47 | ||||
| Yes | 76 | 70 | 191 | 53 | ||||
| Intracranial hypertension | 463 | 109 | 354 | .042 | ||||
| No | 68 | 62 | 257 | 73 | ||||
| Yes | 41 | 38 | 97 | 27 | ||||
| Focal deficit | 462 | 108 | 354 | .028 | ||||
| No | 102 | 93 | 307 | 87 | ||||
| Yes | 6 | 7 | 47 | 13 | ||||
| Cognitive symptom | 459 | 108 | 351 | .153 | ||||
| No | 96 | 88 | 292 | 83 | ||||
| Yes | 12 | 12 | 59 | 17 | ||||
| Neuroimaging | ||||||||
| Tumor location | 469 | 109 | 360 | .129 | ||||
| Median | 6 | 5 | 13 | 4 | ||||
| Left | 44 | 40 | 161 | 45 | ||||
| Right | 54 | 50 | 157 | 43 | ||||
| Bilateral | 5 | 5 | 30 | 8 | ||||
| Tumor multifocality | 448 | 106 | 342 | .461 | ||||
| No | 98 | 92 | 308 | 90 | ||||
| Yes | 8 | 8 | 34 | 10 | ||||
| Contrast enhancement | 410 | 95 | 315 | .658 | ||||
| No | 30 | 32 | 92 | 29 | ||||
| Yes | 65 | 68 | 223 | 69 | ||||
| Mass effect | 304 | 70 | 234 | .498 | ||||
| No | 18 | 26 | 70 | 30 | ||||
| Yes | 52 | 74 | 164 | 70 | ||||
| Necrosis | 233 | 50 | 183 | .751 | ||||
| No | 38 | 76 | 135 | 74 | ||||
| Yes | 12 | 24 | 48 | 26 | ||||
| Calcification | 251 | 59 | 192 | .416 | ||||
| No | 30 | 51 | 86 | 45 | ||||
| Yes | 29 | 49 | 106 | 55 | ||||
| Edema | 275 | 63 | 213 | .955 | ||||
| No | 24 | 38 | 82 | 39 | ||||
| Yes | 39 | 62 | 131 | 61 | ||||
| Treatments | ||||||||
| Surgery | 449 | 101 | 348 | .089 | ||||
| Biopsy | 14 | 14 | 74 | 21 | ||||
| Partial resection | 25 | 25 | 89 | 26 | ||||
| Subtotal resection | 28 | 27 | 87 | 25 | ||||
| Complete resection | 34 | 34 | 98 | 28 | ||||
| Post‐surgical steroids | 410 | 94 | 316 | .419 | ||||
| No | 47 | 50 | 143 | 45 | ||||
| Yes | 47 | 50 | 173 | 55 | ||||
| Radiotherapy | 460 | 104 | 356 | .785 | ||||
| No | 13 | 12 | 41 | 11 | ||||
| Yes | 91 | 88 | 315 | 89 | ||||
| Adjuvant treatment | 454 | 106 | 348 | .795 | ||||
| Follow‐up | 7 | 6 | 19 | 5 | ||||
| RT only | 22 | 21 | 72 | 21 | ||||
| RT + TMZ | 15 | 14 | 79 | 23 | ||||
| RT + PCV | 40 | 38 | 136 | 39 | ||||
| PCV only | 13 | 12 | 29 | 8 | ||||
| TMZ only | 9 | 9 | 13 | 4 | ||||
Abbreviations: OS, overall survival; PCV, procarbazine, CCNU, and vincristine; PFS, progression‐free survival; RT, radiotherapy; TMZ, temozolomide.
DISCUSSION
This study explored the specificities of young and older patients with 3OG to improve the characterization of the youngest population included in the POLA cohort. We observed significant differences in terms of clinical, histopathological, and molecular characteristics. To our knowledge, this study is the first analysis comparing these populations, with a specific focus on molecular profiles.
We showed that young patients had better OS than older patients. The results in terms of PFS were not significantly different; however, the curves showed a clear trend toward separation. Apart from a lack of progression events in this population, our hypothesis to explain these results is that recurrences are likely less aggressive in the younger population, notably due to a lower proportion of molecular or chromosomal abnormalities. In addition, the lack of central MRI review may have contributed to alter the strength of PFS measure.
Regarding the clinical presentation of the younger patients, 3OG were more frequently diagnosed after a seizure. Although our dataset did not include tumor size, we hypothesize that a smaller tumor in contact with the cortex could quickly trigger an initial seizure. This may facilitate an earlier diagnosis compared to nonspecific clinical symptoms such as headaches or cognitive impairments. It is also interesting to note that in our study, no specific neuroimaging pattern was associated with younger patients. Regarding the management between the two age subgroups, we observed that age does not influence therapeutic decisions concerning adjuvant treatment, which is mostly represented by RT combined with TMZ or PCV. In the current study, we did not observe different regimen (RT‐TMZ vs. RT‐PCV) according to patient age. Nevertheless, in this population, Kacimi et al. 16 recently published the results of the difference between RT‐PCV versus RT‐TMZ, showing the superiority of RT‐PCV. Therefore, all patients were able to receive treatment based on their clinical condition, without age limitation. In previous work, 17 we showed that even elder patients (>70 years old) could receive RT and CT with an acceptable safety profile.
The potential main result of this comparative analysis was the distinct molecular pattern of the disease in younger patients. First, we observed a more frequent occurrence of homozygous deletion of CDKN2A in the older patients. Among the 22 patients with this molecular alteration, only one was younger than 40 years old. In line with this observation, we also observed more frequent alterations of chromosome 9p in the older patients. The question rising from these observations is the rational of these distinct molecular patterns: are the younger diseases a distinct entity, with specific molecular profile and independent gliomagenesis, or are the differences reflecting the natural history of 3OG with cumulative incidence of molecular alteration and progressive enrichment leading to disease progression? In systemic oncology, previous publications reported distinctions between the same histological entities across different age classes. 18 , 19 In neuro‐oncology, previous studies have reported differences between pediatric and adult OG patients. 20 , 21 In the larger cohort, the authors compared 346 pediatric (<25 years old) OG to 5753 adults OG. They found that tumor size, tumor grade, and RT were associated with overall survival for all patients. Additionally, they observed that pediatric patients less frequently had tumors in the frontal lobe and more frequently in the temporal lobe. These results differ from what we observed in the POLA population. However, it is important to notice that this first study did not evaluate the molecular profile of the tumor samples. In the second publication by Suri et al., 20 the main result was based on the observation that pediatric OG rarely exhibited 1p/19q codeletion, which is now mandatory for diagnosis (even for younger patients), limiting the conclusions of this study. These last results and their limitations highlight the importance of diagnosis actualization based on the last WHO classification. Within the POLA cohort, all data were updated according to the 2021 WHO classification. Taken together, it is currently not possible to conclude if our observations revealed two distinct gliomagenesis or an historical continuum of molecular accumulations. The hypothesis of molecular continuum between 3OG diagnosed at an early age and those diagnosed after 40 years is supported by the difference in overall survival between younger and older patients, suggesting that older subjects present with more aggressive diseases potentially diagnosed at a later stage. However, the final answer will probably require complementary preclinical modeling and advanced omics analyses at the single‐cell level to decipher the different OG trajectory evolutions. Nevertheless, a better characterization of tumors in adolescents and young adults is an important issue for current oncology, requiring specific clinical trials and cohorts (e.g., the EORTC SPECTA‐AYA) that aims at characterizing high‐grade gliomas and high‐grade bone and soft tissue sarcomas at the European level. 22
Our survival results confirm the data in the literature. In oncology, although 5‐year relative survival of young patients compared to older is similar for all cancers combined, it varies according to the type of cancer with better survival for younger patients with gliomas and leukemias. 23 Similarly, younger patients of our cohort presented a better overall survival than older patients, with only 19 patients diagnosed before 40 years who had died at the time of the study. Regarding the specific prognostic factors in this young population, we validated the prognostic impact of seizure at diagnosis and complete or subtotal resection for OS, whereas mass effect at diagnosis on imaging was associated with worse PFS. The prognostic impact of seizure was already reported in some publications, including OG cohorts. 24 The positive impact of seizure as an initial symptom could be explained by the early diagnosis allowed by the occurrence of this symptom. Another interesting hypothesis is the potential anti‐tumor effect of anti‐seizure medications, particularly valproic acid, perampanel, and levetiracetam, whose possible therapeutic properties are currently being investigated. 25 The lack of data on anti‐seizure medication in the POLA cohort does not allowed us to contribute more precisely to this question. We did not observe any impact of chromosomal alterations on survival. However, due to the small sample size, our study lacked sufficient statistical power. The negative impact of CDKN2A homozygous deletion is now well established in recent literature 15 and has been incorporated into the latest WHO classification of CNS tumors for astrocytoma. 6 Concerning neurosurgical intervention, it is interesting to note that the complete or subtotal resection was associated with better OS but was not associated with better PFS. We could hypothesize that a complete or subtotal resection could lead to a smaller and less aggressive recurrence by limiting the remaining tumor cells. The initial prognostic impact of the 40‐year‐old age cutoff was published by Pignatti et al. 26 in 2002, before the identification of IDH mutations. These prognostic criteria are now debated. Moreover, the prognostic significance of age was recently evaluated in the whole POLA cohort of anaplastic oligodendroglioma by Figarella‐Branger et al., 27 and the cutoff of 50 years old was significantly correlated with both PFS and OS in this specific IDH l/2 mutated population.
Finally, comprehensive oncological care including notions of quality‐of‐life and social reinsertion after cancer treatment appears essential, notably in the young population. The close follow‐up of patients is too often limited to the period of active oncological treatment. Hence, this study also provides preliminary data allowing a precise definition of the young population of interest, supporting future qualitative prospective studies with systematic consideration of quality‐of‐life data for young patients with 3OG and, by extension, other brain tumors affecting young patients.
This work has several limitations. The main limitation is the absence of data on grade 2OG, which is directly related to the inclusion criteria of the POLA network dedicated to high‐grade diffuse glioma with an oligodendroglial component. Data on grade 2OG would be interesting for understanding and validating its evolution over time, assuming that OG is a tumor that presents a continuum in its evolution from grade 2 to grade 3 (continuously acquiring molecular abnormalities over time leading to a more aggressive phenotype), and diagnosis is made sooner or later depending on location and symptoms. Another limitation is the absence of prospective characterization of seizure treatment during follow‐up. 28 Nevertheless, this study is based on the largest prospective database dedicated to 3OG, the French POLA network, allowing us to provide a first comparative analysis of clinical, radiological and histomolecular characteristics in the young population.
In conclusion, young patients with 3OG have different clinical, biological, and molecular characteristics than their older counterparts, with less molecular abnormalities and better overall survival. These differences highlight and support the development of dedicated prospective studies for this young population, including specific programs following the oncological treatments.
AUTHOR CONTRIBUTIONS
Alexandre Bertucci: Conceptualization, methodology, formal analysis, investigation, funding acquisition, and writing–original draft. Ondine Dufour: Conceptualization, funding acquisition, and writing–review and editing. Romain Appay: Writing–review and editing and validation. Vincent Harlay: Writing–review and editing. François Ducray: Writing–review and editing. Charlotte Bronnimann: Writing–review and editing. Apolline Djelad: Writing–review and editing. Elisabeth Cohen‐Jonathan Moyal: Writing–review and editing. Mario Campone: Writing–review and editing. Olivier Langlois: Writing–review and editing. Mathilde Ducloie: Writing–review and editing. Elodie Vauleon: Writing–review and editing. Nadia Younan: Writing–review and editing. Christine Desenclos: Writing–review and editing. Carole Ramirez: Writing–review and editing. Mehdi Touat: Writing–review and editing. Ahmed Idbaih: Writing–review and editing. Céline Bequet: Conceptualization and writing–review and editing. Dominique Figarella‐Branger: Writing–review and editing and validation. Caroline Dehais: Project administration, data curation, resources, writing–review and editing, and validation. Olivier Chinot: Conceptualization, supervision, writing–review and editing, and validation. Emeline Tabouret: Conceptualization, supervision, methodology, project administration, writing–review and editing, writing–original draft, and validation.
CONFLICT OF INTEREST STATEMENT
Mathilde Ducloie reports grant and/or contract funding from Novocure and Servier Azaires Medicales; and travel funding from Kyowa Hakko Kirin and Servier Pharmaceuticals LLC. Francois Ducray reports fees for professional activities from Novocure Israel Ltd; and consulting fees from Novocure Israel Ltd and Servier Azaires Medicales. Ondine Dufour reports travel funding from Roche. Ahmed Idbaih reports consulting fees from Boehringer Ingelheim, Leo Pharma, Novartis, Novocure, and Polytone Laser; grant and/or contract funding from Nutritheragene, Servier Pharmaceuticals LLC, and Transgene; and travel funding from Carthera, Leo Pharma, and Novocure Inc. Olivier Langlois reports fees for professional activities from Kyowa Kirin Pharmaceutical Development, Inc; and consulting fees from Seagen Inc and Servier Pharmaceuticals LLC. Emeline Tabouret reports consulting fees from Servier Pharmaceuticals LLC. Mehdi Touat reports consulting fees from NH Theraguix, Novocure, Ono Pharmaceuticals, and Servier Pharmaceuticals LLC. Elodie Vauleon reports fees for professional activities from Novocure and Servier Pharmaceuticals LLC. The other authors declare no conflicts of interest.
Supporting information
Supplementary Material
Supplementary Material
ACKNOWLEDGMENTS
We thank the ARTC‐SUD Patients Association (Association pour la Recherché sur les Tumeurs Cérébrales). We thank the Cancéropôle PACA. We thank the AP‐HM Tumor Bank (authorization number: AC2018‐31053) for providing tissue samples. POLA Network is funded by the French Institut National du Cancer. We thank all member of the POLA network including: Amiens (C. Desenclos and N. Guillain), Angers (P. Menei and A. Rousseau), Annecy (T. Cruel and S. Lopez), Besançon (M. Abad and N. Hamdan), Bicêtre (C. Adam and F. Parker), Brest (R. Seizeur and I. Quintin‐Roué), Bordeaux (C. Bronnimann and G. Chotard), Caen (M. Ducloie), Clamart (D. Ricard), Clermont‐Ferrand (C. Godfraind and T. Khallil), Clichy (D. Cazals‐Hatem and T. Faillot), Colmar (C. Gaultier and M.C. Tortel), Cornebarrieu (I. Carpiuc and P. Richard), Dijon (H. Aubriot‐Lorton and F. Ghiringhelli), Lille (A. Djelad and C.A. Maurage), Limoges (E.M. Gueye and F. Labrousse), Lyon (F. Ducray and D. Meyronet), Marseille (D. Figarella‐Branger and O. Chinot), Montpellier (L. Bauchet and V. Rigau), Nancy (G. Gauchotte and L. Taillandier), Nantes (M. Campone and D. Loussouarn), Nice (V. Bourg and F. Vandenbos‐Burel), Nîmes (J.‐S. Guillamo and P. Roger) Orléans (C. Blechet), Paris (H. Adle‐Biassette, F. Bielle, A.F. Carpentier, and C. Dehais), Poitiers (S. Milin and M. Wager), Reims (P. Colin and M.D. Diebold), Rennes (D. Chiforeanu and E. Vauleon), Rouen (F. Marguet and O. Langlois), Saint‐Etienne (F. Forest and C. Ramirez), Saint‐Pierre de la Réunion (M. Andraud and M. Khettab), Strasbourg (B. Lhermitte and G. Noel), Suresnes (M. Bernier and N. Younan), Tours (C. Rousselot‐Denis and I. Zemmoura), Toulon (C. Joubert), Toulouse (E. Cohen‐Moyal and E. Uro‐Coste), and Villejuif (F. Dhermain).
Bertucci A, Dufour O, Appay R, et al. Characteristics, outcome, and prognostic factors of young patients with central nervous system World Health Organization grade 3 oligodendrogliomas IDH‐mutant and 1p/19q codeleted: a French POLA network study. Cancer. 2025;e35814. doi: 10.1002/cncr.35814
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary Material
Supplementary Material
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
