Evidence map›Paper›PMID 1716454›Full record

ArticleBritish journal of cancer1991

Antibody BNH9 detects red blood cell-related antigens on anaplastic large cell (CD30+) lymphomas.

G Delsol, A Blancher, T al Saati, E Ralfkiaer, A Lauritzen, L Bruigères, P Brousset, F Rigal-Huguet, C Mazerolles, A Robert

Abstract read
In one paragraph

Article in British journal of cancer, 1991. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. T-cell lymphomas, a challenging disease: types, treatments, and future.International journal of clinical oncology · 2017
    Review
  3. Primary cardiac angiosarcoma - a review.Medical science monitor : international medical journal of experimental and clinical research · 2014
    Review
  4. Article
  5. Article
  6. 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.

G DelsolDepartment of Anatomical Pathology, CHU Purpan, Toulouse, France.
A Blancher
T al Saati
E Ralfkiaer
A Lauritzen
L Bruigères
P Brousset
F Rigal-Huguet
C Mazerolles
A Robert

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two new monoclonal antibodies--BNH9 and BNF13--were generated by using a human lung adenocarcinoma cell line and standard hybridoma techniques. Both were found to react with epithelial and endothelial cells in routinely fixed and embedded tissues. Unexpected membrane labelling of some large cell lymphomas while non-reacting with normal lymphoid cells, prompted further characterisation. The antibodies were found to recognise red blood cell-related oligosaccharide antigens. The specificities were directed towards H and Y determinants. A distinctive pattern of reactivity was found for BNH9 in studying 480 cases of various lymphoid neoplasms. Strong expression of H and/or Y antigens was observed in 65/127 (51%) cases of anaplastic large cell(ALC) (CD30+) lymphomas, which are also known to co-express epithelial membrane antigen (EMA) frequently. Only a minority (less than 6%) of other non-Hodgkin's lymphomas (NHL) (CD30-,EMA-; 208 cases) and Hodgkin's disease (HD) (CD30+, EMA-; 126 cases) were positive. Expression of H and Y antigens was inducible on normal lymphocytes by mitogenic stimulation and by Epstein-Barr virus infection. The data suggest remarkable biological differences of ALC lymphomas within NHL and from HD.

Indexed as

Antibodies, MonoclonalBlood Group AntigensCell Transformation, ViralEpitopesHodgkin DiseaseHumansLymphocytesLymphoma, Large B-Cell, DiffuseLymphoma, Non-HodgkinAntibodies, MonoclonalBlood Group AntigensEpitopes

Identifiers

PMID1716454
PMCPMC1977514

What OpenQuestion holds

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Registered trials

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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.