Evidence map›Paper›PMID 9147071›Full record

ArticleThe Histochemical journal1997

Correlative histochemical study providing evidence for the dual nature of human colorectal cancer mucin.

Y Ajioka, P X Xing, Y Hinoda, J R Jass

Abstract read
PubMed Publisher
In one paragraph

Article in The Histochemical journal, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

4 authors at 4 institutions in 3 countries.

Y AjiokaDepartment of Pathology, School of Medicine, University of Auckland, New Zealand.
P X Xing
Y Hinoda
J R Jass
Austin Hospital · AUSapporo Medical University · JPUniversity of Auckland · NZUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Luminal secretions within colorectal cancers have been assumed to be the counterpart of normal goblet cell mucin. The aim of this study was to establish whether secretory material within colorectal cancers may in fact be traced to different lineages: goblet cells and columnar cells. The distribution of the apomucins MUC1 and MUC2, non-O-acetylated sialic acid and the carbohydrate structures sialosyl Tn, Tn, Lewis(x), sialosyl Lewis(x) and Lewis(y) was studied in normal colorectal mucosa and colorectal cancer specimens using standard histochemical techniques. Unmasking of MUC1 and MUC2 was achieved using periodic acid and saponification-neuraminidase-periodic acid pretreatment respectively. Within normal and malignant epithelium, correlations and/or co-localization could be demonstrated for goblet cells with MUC2, non-O-acetylated sialic acid, sialosyl Tn, Tn (Golgi region) and sialosyl Lewis(x), and for columnar cells with MUC1, Lewis(x), sialosyl Le(x), Tn (cytoplasm) and Lewis(y) (UEA-1). The goblet cell spectrum was associated with mucin-like (type I) luminal secretions within cancers, whereas the columnar cell spectrum characterized non-mucin-like (type II) secretions and intracytoplasmic lumina. These data indicate that colorectal cancer mucin can be broadly separated into two types: secretory mucin linked to cells of goblet lineage and up-regulated membrane-associated mucin of presumed columnar cell origin.

Indexed as

Biomarkers, TumorColonColorectal NeoplasmsHistocytochemistryHumansIntestinal MucosaMucin-2MucinsNeoplasm ProteinsRectumBiomarkers, TumorMUC2 protein, humanMucin-2MucinsNeoplasm Proteins

Identifiers

PMID9147071
OpenAlexW106318229

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.