Evidence map›Paper›PMID 22193299›Full record

ArticleEuropean journal of histochemistry : EJH2011

The usefulness of c-Kit in the immunohistochemical assessment of melanocytic lesions.

L Pilloni, P Bianco, E Difelice, S Cabras, M E Castellanos, L Atzori, C Ferreli, P Mulas, S Nemolato, G Faa

Open access · goldAbstract read
In one paragraph

Article in European journal of histochemistry : EJH, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Relevance of BRAF Subcellular Localization and Its Interaction withInternational journal of molecular sciences · 2021
    Article
  6. Article
  7. Review
  8. Primary Hepatic Leiomyosarcoma: Histopathologist's Perspective of a Rare Case.Journal of clinical and experimental hepatology · 2018
    Article
  9. Experimental and therapeutic medicine · 2016
    Article
  10. Immune-phenotypical markers for the differential diagnosis of melanocytic lesions.International journal of clinical and experimental pathology · 2015
    Review
  11. Article
  12. Article
  13. Article
  14. On the future contents of a small journal of histochemistry.European journal of histochemistry : EJH · 2012
    Article
  15. 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

10 authors at 2 institutions in 2 countries.

L PilloniDepartment of Cytomorphology, Division of Pathology, University of Cagliari, via Ospedale, 54, 09124 Cagliari, Italy. lucpilloni@tiscali.it
P Bianco
E Difelice
S Cabras
M E Castellanos
L Atzori
C Ferreli
P Mulas
S Nemolato
G Faa
University of Cagliari · ITUniversidad Rey Juan Carlos · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

C-Kit (CD117), the receptor for the stem cell factor, a growth factor for melanocyte migration and proliferation, has shown differential immunostaining in various benign and malignant melanocytic lesions. The purpose of this study is to compare c-Kit immunostaining in benign nevi and in primary and metastatic malignant melanomas, to determine whether c-Kit can aid in the differential diagnosis of these lesions. c-Kit immunostaining was performed in 60 cases of pigmented lesions, including 39 benign nevi (5 blue nevi, 5 intradermal nevi, 3 junctional nevi, 15 cases of primary compound nevus, 11 cases of Spitz nevus), 18 cases of primary malignant melanoma and 3 cases of metastatic melanoma. The vast majority of nevi and melanomas examined in this study were positive for c-Kit, with minimal differences between benign and malignant lesions. C-Kit cytoplasmatic immunoreactivity in the intraepidermal proliferating nevus cells, was detected in benign pigmented lesions as well as in malignant melanoma, increasing with the age of patients (P=0.007) in both groups. The patient's age at presentation appeared to be the variable able to cluster benign and malignant pigmented lesions. The percentage of c-Kit positive intraepidermal nevus cells was better associated with age despite other variables (P=0.014). The intensity and percentage of c-Kit positivity in the proliferating nevus cells in the dermis was significantly increased in malignant melanocytic lesions (P=0.015 and P=0.008) compared to benign lesions (compound melanocytic nevi, Spitz nevi, intradermal nevi, blue nevi). Immunostaning for c-Kit in metastatic melanomas was negative. Interestingly in two cases of melanoma occurring on a pre-existent nevus, the melanoma tumor cells showed strong cytoplasmatic and membranous positivity for c-kit, in contrast with the absence of any immunoreactivity in pre-existent intradermal nevus cells. C-Kit does not appear to be a strong immunohistochemical marker for distinguishing melanoma from melanocytic nevi, if we consider c-Kit expression in intraepidermal proliferating cells. The c-Kit expression in proliferating melanocytes in the dermis could help in the differential diagnosis between a superficial spreading melanoma (with dermis invasion) and a compound nevus or an intradermal nevus. Finally, c-Kit could be a good diagnostic tool for distinguishing benign compound nevi from malignant melanocytic lesions with dermis invasion and to differentiate metastatic melanoma from primary melanoma.

Indexed as

Gene Expression Regulation, NeoplasticAdolescentAdultAgedBiomarkers, TumorCell ProliferationDiagnosis, DifferentialFemaleHumansMaleMelanocytesMelanomaMiddle AgedNevusProto-Oncogene Proteins c-kitRetrospective StudiesBiomarkers, TumorProto-Oncogene Proteins c-kit

Identifiers

PMID22193299
PMCPMC3284155
OpenAlexW1987859800

What OpenQuestion holds

Textmetadata
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.