Heterogeneity of <i>MYCN</i> amplification in neuroblastoma at diagnosis, treatment, relapse, and metastasis
Bibliographic record
Abstract
Amplification of the MYCN gene in neuroblastoma is associated with a poor prognosis and is considered to remain unchanged in post-treatment specimens and metastases. While heterogeneity of MYCN copy number in tumor cells has been reported, serial samples have only been studied in a limited way, and the biologic relevance of this finding is not well understood. We used in situ hybridization on paraffin sections of 102 specimens from 30 patients with MYCN-amplified neuroblastoma to determine MYCN copy number in the primary tumor, pre- and post-treatment, and in metastatic samples. Nineteen cases (63%) showed diffuse MYCN amplification in all samples tested. Nine cases (30%) showed a reduction in MYCN copy number: five cases with diffuse amplification subsequently showed focal amplification, one case with diffuse MYCN amplification showed MYCN gain after treatment, and three focally amplified cases were non-amplified in later specimens. In two cases (7%), focal amplification became diffuse in subsequent samples. Histology was not predictive of the temporal or spatial pattern of MYCN amplification for a particular tumor. If extent of amplification (focal vs. diffuse) is not considered, 26/30 (87%) of cases were consistently MYCN-amplified. However, our data suggest that MYCN status can be heterogeneous between tumor sites, during tumor progression or following treatment, challenging the notion that MYCN copy number does not change for a particular neuroblastoma. Assessing the biologic significance of MYCN heterogeneity will require larger studies of clinically annotated tumor samples, and will depend on interpreting heterogeneity in MYCN status in combination with other genetic changes. © 2016 Wiley Periodicals, Inc.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".