Evidence map›Paper›PMID 23629443›Full record

ArticleThe American journal of surgical pathology2013

Mitotic rate in melanoma: prognostic value of immunostaining and computer-assisted image analysis.

Christopher S Hale, Meng Qian, Michelle W Ma, Patrick Scanlon, Russell S Berman, Richard L Shapiro, Anna C Pavlick, Yongzhao Shao, David Polsky, Iman Osman and 1 more

Open access · greenAbstract read
In one paragraph

Article in The American journal of surgical pathology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Histone Modifications and Their Targeting in Lymphoid Malignancies.International journal of molecular sciences · 2021
    Review
  9. Article
  10. Article
  11. Relapse patterns in patients with local and regional cutaneous melanoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2019
    Article
  12. Dual Immunohistochemical Detection of Mitoses in Melanoma.Pathology oncology research : POR · 2018
    Article
  13. Computer-assisted measurement of primary tumor area is prognostic of recurrence-free survival in stage IB melanoma patients.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2017
    Article
  14. Article
  15. Article
  16. Article
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

11 authors at 3 institutions in 1 country.

Christopher S HaleDepartment of Pathology, New York University Cancer Institute, New York University School of Medicine, New York, NY 10016, USA.
Meng Qian
Michelle W Ma
Patrick Scanlon
Russell S Berman
Richard L Shapiro
Anna C Pavlick
Yongzhao Shao
David Polsky
Iman Osman
Farbod Darvishian
New York University · USEastern Cooperative Oncology Group · USCancer Research And Biostatistics · US

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI ADRIANA HEGUY · 1985 to 2026
$83.1M
INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR029893 · NCRR · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL · 2009 to 2011
$17.7M
Institutional Clinical and Translational Science AwardUL1TR000038 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL · 2012 to 2014
$16.8M
NCATS NIH HHS UL1 TR000038NCI NIH HHS 5 P30 CA016087NCI NIH HHS P30 CA016087NCRR NIH HHS 1 UL1 RR029893NCRR NIH HHS UL1 RR029893
6 · The paper itself

Abstract

The prognostic value of mitotic rate in melanoma is increasingly recognized, particularly in thin melanoma in which the presence or absence of a single mitosis/mm can change staging from T1a to T1b. Still, accurate mitotic rate calculation (mitoses/mm) on hematoxylin and eosin (H&E)-stained sections can be challenging. Antimonoclonal mitotic protein-2 (MPM-2) and antiphosphohistone-H3 (PHH3) are 2 antibodies reported to be more mitosis-specific than other markers of proliferation such as Ki-67. We used light microscopy and computer-assisted image analysis software to quantify MPM-2 and PHH3 staining in melanoma. We then compared mitotic rates by each method with conventional H&E-based mitotic rate for correlation with clinical outcomes. Our study included primary tissues from 190 nonconsecutive cutaneous melanoma patients who were prospectively enrolled at New York University Langone Medical Center with information on age, gender, and primary tumor characteristics. The mitotic rate was quantified manually by light microscopy of corresponding H&E-stained, MPM-2-stained, and PHH3-stained sections. Computer-assisted image analysis was then used to quantify immunolabeled mitoses on the previously examined PHH3 and MPM-2 slides. We then analyzed the association between mitotic rate and both progression-free and melanoma-specific survival. Univariate analysis of PHH3 found significant correlation between increased PHH3 mitotic rate and decreased progression-free survival (P=0.04). Computer-assisted image analysis enhanced the correlation of PHH3 mitotic rate with progression-free survival (P=0.02). Regardless of the detection method, neither MPM-2 nor PHH3 offered significant advantage over conventional H&E determination of mitotic rate.

Indexed as

AdultBiomarkers, TumorDisease-Free SurvivalFemaleHumansImage Interpretation, Computer-AssistedImmunohistochemistryKaplan-Meier EstimateMaleMelanomaMiddle AgedMitotic IndexNeoplasm StagingProportional Hazards ModelsSkin NeoplasmsBiomarkers, Tumor

Identifiers

PMID23629443
PMCPMC3654084
OpenAlexW2065936206

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.