Correlation between morphologic and nonmorphologic prognostic markers of neuroblastoma
Annals of the New York Academy of Sciences, ISSN: 0077-8923, Vol: 824, Issue: 1 Challenges an, Page: 71-83
1997
- 22Citations
- 17Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations22
- Citation Indexes22
- 22
- CrossRef11
- Captures17
- Readers17
- 17
Conference Paper Description
Morphologic (Shimada classification-SC, original and modified histologic grades-OHG and MHG) and nonmorphologic (serum LDH, 1 p del, DNA index, N-myc copy number, telomerase activity, and expression of MRP, MDR1, and TRK) prognostic markers for NE have been reviewed. The functional role of these nonmorphologic markers in the development and progression of this disease include abnormal cell proliferation, resistance to chemotherapeutic agents, and induction of apoptosis. A statistically significant association between high OHG/MHG (grade 3), DNA index of 1 (diploidy), >1 copy of N-myc per haploid genome and serum LDH of ≤1500 IU/l (p < 0.001 for each) has been described. In SC, undifferentiated histology and high MKI are associated with N-myc amplification. However, a lack of correlation between morphology and N-myc amplification has been found in localized NE. Confirmation of these observations must now be obtained on larger numbers of prospectively studied cases. Data on correlation for various prognostic markers could provide guidelines for identification of subsets of NE having strongly significant, readily determinable, reproducible, and relatively inexpensive prognostic markers that could ultimately be used to design an algorithm for risk-specific therapy.
Bibliographic Details
Wiley
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