Evidence map›Paper›PMID 9400942›Full record

ArticleBritish journal of cancer1997

Allelotype analysis of adenocarcinoma of the gastric cardia.

C M Gleeson, J M Sloan, J A McGuigan, A J Ritchie, J L Weber, S E Russell

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Article in British journal of cancer, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 33 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

6 authors at 4 institutions in 2 countries.

C M GleesonDepartment of Medical Genetics, The Queen's University of Belfast, Belfast City Hospital, UK.
J M Sloan
J A McGuigan
A J Ritchie
J L Weber
S E Russell
Marshfield Clinic · USRoyal Victoria Hospital · GBUniversity of Ulster · GBVictoria Hospital · GB

Funding

QUANTITATIVE ASPECTS OF HIGH RESOLUTION HUMAN GENETIC MAPSP50HG000835 · NHGRI · UNIVERSITY OF IOWA · PI WEIR, ROBERT · 1992 to 1997
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NHGRI NIH HHS HG00835
6 · The paper itself

Abstract

To identify chromosomal loci involved in the development of proximal gastric adenocarcinoma, this study delineated the pattern of allelic imbalance in a series of 38 adenocarcinomas arising in the gastric cardia. A total of 137 microsatellite markers covering all autosomal arms, excluding acrocentric arms, were analysed. A mean of 35 out of a total of 39 chromosomal arms studied were informative for each patient. The tumour group demonstrated a high level of allelic imbalance, with an observed median fractional allelic imbalance of 0.47 for the 29 intestinal-type adenocarcinomas and 0.54 for the nine diffuse-type adenocarcinomas. Allelic imbalance was detected in >50% of informative cases in both histological subtypes on a number of chromosomal arms. In the intestinal subtype, these included, 3p (61%), 4q (71%), 5q (59%), 8p (60%), 9p (65%), 9q (83%), 12q (52%), 13q (52%), 17p (78%) and 18q (70%). A higher incidence of allelic imbalance was detected on chromosome 16q in tumours of the diffuse type relative to those of the intestinal type. A more detailed mapping on chromosomes 4q and 6q identified a number of cases with subchromosomal breakpoints. In conclusion, this analysis has indicated regions of the genome potentially involved in the development of proximal gastric carcinomas.

Indexed as

AllelesChromosome AberrationsAdenocarcinomaCardiaChromosome BreakageChromosome MappingChromosomes, Human, Pair 4Chromosomes, Human, Pair 6DNA, NeoplasmGenetic MarkersHumansMicrosatellite RepeatsPolymorphism, GeneticStomach NeoplasmsDNA, NeoplasmGenetic Markers

Identifiers

PMID9400942
PMCPMC2228164
OpenAlexW2095090653

What OpenQuestion holds

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LicenceCC BY
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.