Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 491

The DOI matches its Crossref record.

Cellular DNA Content as a Predictor of Response to Chemotherapy in Infants with Unresectable Neuroblastoma

Look, A. Thomas, Hayes, F. Ann, Nitschke, Ruprecht, McWilliams, Nancy B., Green, Alexander A.·1984·New England Journal of Medicine

Abstract

We studied the relation between the DNA content of neuroblastoma cells and the response to therapy in 35 infants under one year of age with a diagnosis of neuroblastoma. Using flow cytometric techniques, we found that in 27 cases the primary malignant stem line consisted of neuroblasts with hyperdiploid DNA content, ranging from 1.07 to 2.42 times the finding in normal diploid cells. All remaining cases had diploid stem lines. Diploidy was more common in infants with clinical Stage D neuroblastoma (metastases beyond regional lymph nodes) than in those with other, less advanced stages: 6 of 10 as compared with 2 of 25 (P = 0.003). Of 17 evaluable patients with unresectable hyperdiploid tumors, 15 had complete responses and two had partial responses to cyclophosphamide and doxorubicin; six others with diploid tumors did not respond (P = 0.00001). We also found that each of the four infants with Evans' Stage IV-S neuroblastoma, an unusual form of disseminated neuroblastoma with a relatively good prognosis, had hyperdiploid tumor cells of clonal origin. We conclude that in neuroblastoma of infants, hyperdiploidy of tumor cells is associated with a better response to chemotherapy than is diploidy.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1056/nejm198407263110405

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 491

Metadata

Authors
Look, A. T., Hayes, F. A., Nitschke, R., McWilliams, N. B., & Green, A. A.
Venue
New England Journal of Medicine
Published
1984-07-26
Volume
311
Issue
4
Pages
231-235
ISSN
  • 0028-4793 (ISSN-L)
  • 1533-4406
OpenAlex
W1993610674
Cited by
491
References
0
FWCI
9.60
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cellular DNA Content as a Predictor of Response to Chemotherapy in Infants with Unresectable Neuroblastoma. https://app.cochat.ai/papers/10.1056/nejm198407263110405
The paper
Look, A. T., Hayes, F. A., Nitschke, R., McWilliams, N. B., & Green, A. A. (1984). Cellular DNA Content as a Predictor of Response to Chemotherapy in Infants with Unresectable Neuroblastoma. New England Journal of Medicine. https://doi.org/10.1056/nejm198407263110405

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.