Table 1 ESCAT proposal for glioma tumors according to the most recent evidence

From: Clinical actionability in gliomas revealed by real-world next-generation sequencing: a multicentric study

ESCAT

Alteration

Matched therapy and ESMO MCBS

Patients with alteration

Patients tested

Prevalence

Altered patients by ESCAT

Total by group

Tier 1

BRAF - V600E mutation

Dabra-Trame: 3

7

497

1,4%

144

168

IDH1 mutation

Vorasidenib: 3

123

535

23,0%

 

31,1%

IDH2 mutation

Vorasidenib: 3

10

492

2,0%

  

NTRK (1-3) fusion

Larotrecitnib/ Entrectinib: ND

10

489

2,0%

  

Tier 2

FGFR (1-3) pathogenic mutations

Erdafitinib: 3

14

482

2,9%

24

 

FGFR rearrangement (FGFR-TACC)

Futibatinib/ Pemigatinib: 3

13

473

2,7%

  

Tier 3

AKT1 - E17K mutation

-

0

467

0,0%

153

303

BRAF fusionsa

Selumitinib: ND

8

495

1,6%

 

56,0%

FGFR (1-3) amplification

Erda/Futi/Pemi: ND

3

459

0,7%

  

H3K27M mutation

-

11

455

2,4%

  

MET mutation

Vebreltinib/ Capmatinib: ND

10

469

2,1%

  

PI3K mutations (PIK3CA, PTEN)

Capmatinib: ND

149

492

30,3%

  

PTEN loss

-

19

479

4,0%

  

Tier 4

ATM mutation

-

14

349

4,0%

150

 

ATRX mutation

ATR inhibitor: ND

80

459

17,4%

  

CDKN2A loss

-

127

445

28,5%

  

CDKN2B loss

-

108

393

27,5%

  

EGFR amplification

Depatuxizumab mafodotin/Dacomitinib: ND

128

482

26,6%

  

EGFR mutation

-

69

497

13,9%

  

EGFR vIII rearrangement

EGFRvIII-TCBA/Rindopepimut: ND

72

492

14,6%

  

pTERT mutation

-

205

437

46,9%

  

Wild type

  

40

541

7,4%

  

Unknown

Incomplete results

 

30

541

5,5%

  
   

Total

541

   
  1. Dabra-Trame dabrafenib-trametinib, ND no data.
  2. aPending results of FIREFLY-2.