Evidence map›Paper›PMID 19784745›Full record

ArticleMedical molecular morphology2009

Primitive neuroectodermal tumor of the kidney.

Hideaki Ishii, Kenji Ogaki

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Medical molecular morphology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Hideaki IshiiDepartment of Pathology, Nippon Medical School, Musashikosugi Hospital, Nakahara, Kawasaki, Kanagawa 211-8533, Japan. hhishii@nms.ac.jp
Kenji Ogaki
Nippon Medical School · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report a 21-year-old man with a primitive neuroectodermal tumor (PNET) of the kidney that was difficult to distinguish from other small round cell tumors, e.g., small cell carcinoma, malignant lymphoma, and Wilms' tumor. Pathologically, a primitive rosette-like pattern was shown by H&E staining; expression of MIC-2 was indicated by an immunohistochemical test; rather primitive organelles were observed by an ultrastructural method; and translocation of chromosome 22 was confirmed by FISH. We therefore diagnosed the current case as PNET. The patient had undergone a right radical nephrectomy more than 1.5 years earlier. After neither metastases nor recurrences for 0.5 year, imaging examinations revealed masses in his liver. He received chemotherapy and underwent surgery again, but the masses were not composed of viable tumor cells. PNET of the kidney is extremely rare; fewer than 30 cases have been reported in the English literature, and there are few data on the expression of p53, ki67, and bcl2. We investigated the relationships between these markers in the current case using immunohistochemical tests and observed strong expression of p53, Ki-67, and bcl-2. Such results generally indicate poor prognosis, and the patient eventually had some masses in his liver, but no viable tumor cells were found. The prognostic significance of these various markers in PNET of the kidney still remains unclear, but p53, ki-67, and bcl-2 might not be so important as indicators of prognosis in the kidneys as they are in other organs. Further studies are needed to investigate this, and we hope that the patient recovers completely.

Indexed as

Kidney NeoplasmsNeuroectodermal Tumors, PrimitiveHumansIn Situ Hybridization, FluorescenceMaleYoung Adult

Identifiers

PMID19784745
OpenAlexW2010495553

What OpenQuestion holds

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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.