Evidence map›Paper›PMID 9497913›Full record

ArticleMolecular pathology : MP1997

Extent of apoptosis in ovarian serous carcinoma: relation to mitotic and proliferative indices, p53 expression, and survival.

M E McMenamin, A J O'Neill, E F Gaffney

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Article in Molecular pathology : MP, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

10 citing papers in PubMed, 30 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

M E McMenaminDepartment of Histopathology, St James's Hospital, Dublin, Ireland.
A J O'Neill
E F Gaffney
St. James's Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo assess the extent of apoptosis in ovarian serous carcinoma and to examine possible relations between apoptosis, cell proliferation, p53 overexpression, and patient survival.

methodsApoptotic and mitotic indices were obtained by examining haematoxylin and eosin stained sections from 30 patients with ovarian serous carcinoma. Apoptosis was also evaluated semiquantitatively by in situ end labelling of fragmented DNA. Expression of p53 and determination of Ki-67 labelling indices were based on immunohistochemical staining. Clinical details were obtained from patients' clinical records. For statistical analysis, Fisher's exact test, parametric (Pearson) linear correlations, and the Kaplan-Meier method were used.

resultsThe mean apoptotic index was 1.3% (range 0.02-3.9%), the mean mitotic index was 0.4% (range 0.02-1.1%), and the mean Ki-67 labelling index was 16% (range 4-32%). There were significant correlations between the apoptotic and mitotic indices (p < 0.0205) and between the mitotic and Ki-67 labelling indices (p < 0.024). There was a significant correlation between a high apoptotic index and poor prognosis (p < 0.02). p53 was overexpressed in 16 cases but the extent of apoptosis and outcome were both independent of p53 status.

conclusionsThese results suggest that regulation of apoptosis is an integral component of tumour cell kinetics in ovarian serous carcinoma, and that increased apoptosis is indicative of aggressive tumour growth. p53 expression did not correlate with altered apoptosis, but the possibility of an attenuated apoptotic response to subsequent DNA damage by anticancer agents is not excluded.

Indexed as

AdultAgedAged, 80 and overApoptosisCell DivisionCystadenocarcinoma, SerousFemaleHumansMiddle AgedMitosisNeoplasm ProteinsNeoplasm StagingOvarian NeoplasmsSurvival RateTumor Suppressor Protein p53Neoplasm ProteinsTumor Suppressor Protein p53

Identifiers

PMID9497913
PMCPMC379639
OpenAlexW2107867349

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.