Germline GAB2 Mutations in Childhood Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Abstract Recent studies using next-generation sequencing of selected individuals, such as those with familial leukemia or congenital syndromes, have identified rare and highly penetrant germline mutations that predispose to childhood acute lymphoblastic leukemia (ALL). High hyperdiploidy (HD), the most common cytogenetic subtype of childhood ALL, is enriched in children with RASopathies who develop ALL and, similarly, a high proportion of ALL patients with germline ETV6 or IKZF1 mutations presented with the HD subtype. Here, we aimed to identify novel predisposition genes in a selected group of HD-ALL patients. Targeted sequencing of 538 cancer-relevant genes was carried out using the UCSF500 Cancer Gene Panel in diagnostic bone marrow (i.e. tumor) DNA from 57 HD-ALL patients from the California Childhood Leukemia Study (CCLS). HD-ALL patients were selected based on absence of somatic KRAS or NRAS hotspot mutations detectable by Sanger sequencing, and absence of somatic copy number deletions from multiplex ligation-dependent probe amplification (MLPA) assays. After filtering out likely somatic mutations (mutant allele fraction <0.44), and restricting to variants with low frequency in unselected individuals (allele frequency <0.01% in the Exome Aggregation Consortium, ExAC) and with predicted functional effects (Combined Annotation Dependent Depletion, CADD score ≥20), we identified 151 putative predisposing mutations. Of 41 mutations of interest selected for validation, 37 (90.2%) were confirmed as germline in origin via Sanger sequencing of remission or newborn bloodspot DNA. Rare and predicted functional germline mutations in known (NBN, SH2B3, ETV6, CREBBP, MSH6) or suspected (MLL, ABL1, FLT3, MYH9) ALL predisposition genes were identified in nine out of 57 patients (15.8%). Three additional patients harbored germline mutations in the GRB2-associated binding protein 2 (GAB2), a known binding partner of PTPN11-encoded SHP2 and activator of the ERK/MAPK and PI3K/AKT pathways. Two GAB2 mutations, a missense mutation S592F and frameshift mutation P621fs, were predicted to be highly functional (CADD scores = 34 and 36 respectively) and absent in ExAC. Frequency of rare and damaging GAB2 mutations was significantly higher in our patient set (2.6%) than in ExAC (0.28%, P = 2.70 x 10-6). We replicated this finding in sequencing data from 309 ALL patients in the TARGET (Therapeutically Applicable Research to Generate Effective Treatments) project (0.81% vs. 0.28%, P = 0.015). Patient GAB2 mutations were cloned into HEK293 cells and, following EGF stimulation, we found that the P621fs mutation reduced SHP2 binding and ERK1/2 phosphorylation but increased AKT phosphorylation. This suggested possible Ras-independent leukemogenic effects, supported by a lack of somatic Ras pathway mutations in the three GAB2 mutant patients. Additional functional analyses and sequencing of larger patient cohorts will be required to elucidate the role of germline GAB2 mutations in childhood ALL. Disclosures No relevant conflicts of interest to declare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".