Evidence map›Paper›PMID 34095900›Full record

ArticleCancer medicine journal2021

Impact of Using Median vs. Mean in Calculating ERBB2 FISH Results in Breast Cancer.

Jie Song, Alexander Yu, Diana Munoz, Song Han, Manjunath Nimmakayalu, Peter C Hu, Jianli Dong

Open access · greenAbstract read
In one paragraph

Article in Cancer medicine journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 94% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Jie SongProgram in Diagnostic Genetics and Genomics, School of Health Professions, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Alexander YuSchool of Medicine, The University of Texas Medical Branch, Galveston, Texas, USA.
Diana MunozHealth Information Management, Houston Methodist, Houston, Texas, USA.
Song HanDepartment of Pathology, The University of Texas Medical Branch, Galveston, Texas, USA.
Manjunath NimmakayaluProgram in Diagnostic Genetics and Genomics, School of Health Professions, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Peter C HuProgram in Diagnostic Genetics and Genomics, School of Health Professions, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jianli DongDepartment of Pathology, The University of Texas Medical Branch, Galveston, Texas, USA.
The University of Texas Medical Branch at Galveston · US

Funding

UTMB Clinical and Translational Science AwardTL1TR001440 · NCATS · UNIVERSITY OF TEXAS MED BR GALVESTON · PI HOMMEL, JONATHAN DEAN · 2015 to 2024
$3.4M
NCATS NIH HHS TL1 TR001440
6 · The paper itself

Abstract

introductionErb-b2 receptor tyrosine kinase 2 (ERBB2) testing is used to measure the status of ERBB2 gene expression and DNA amplification. Test results have been reported with a discrepancy as high as 20%. The purpose of this study was to improve ERBB2 fluorescence in situ hybridization (FISH) sensitivity by evaluating results generated by median as well as mean calculations.

methodsWe retrospectively identified breast cancer cases at our institution in which ERBB2 FISH testing was performed in-house from June 2018 to May 2020. FISH results were classified using the 2018 American Society of Clinical Oncology/College of American Pathologists guidelines: groups 1 and 5 are FISH positive and negative, respectively, and groups 2-4 are equivocal requiring additional work-up. FISH counting sheets were collected and regrouped by median ERBB2 copy number counts and median ERBB2/CEP17 ratio and compared with the mean ERBB2 and mean ERBB2/CEP17 ratio. Intra-tumor genetic heterogeneity and CEP17 copy number gain (CEP17 ≥3) were assessed to see if they affect the discrepancy between median and mean groups.

resultsSeventy-two breast cancer cases were collected and evaluated. Eleven cases (11 of 72 [15%]) had discrepant grouping by mean and median calculations. A significant number of discrepancies were found for CEP17 copy number gain (p = 0.027) but not for ERBB2 (p = 0.411), the ERBB2/CEP17 ratio (p = 0.445), FISH results (p = 0.194), or genetic heterogeneity (p = 0.465). Among the four cases regrouped to median group 1, 2 were from mean group 3 and underwent anti-ERBB2 targeted therapy and 2 were from mean groups 4 and 5 may have benefitted from targeted therapy with more than 30% amplified cells. The median may be better to reflect the monosomy subclone within tumor tissues for the case 387 moved from mean group 5 to median group 2. The 6 cases moved from mean group 5 to median group 4 with CEP17 copy number gain may have had a poor prognosis based on other study result.

conclusionIncluding the median calculation may increase ERBB2 sensitivity and identification of CEP17 copy number gain. Further clinical studies are necessary to examine the outcome of including median in calculating ERBB2/CEP17 values.

Indexed as

Breast cancerCEP17ERBB2FISHMeanMedian

Identifiers

PMID34095900
PMCPMC8171267
OpenAlexW3168759837

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.