Evidence map›Paper›PMID 19662193›Full record

ArticleBiomarker insights2007

Leukemia associated antigens: their dual role as biomarkers and immunotherapeutic targets for acute myeloid leukemia.

Barbara-Ann Guinn, Azim Mohamedali, Ken I Mills, Barbara Czepulkowski, Michael Schmitt, Jochen Greiner

Open access · greenAbstract read
In one paragraph

Article in Biomarker insights, 2007. 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
0.3field-weighted citation impact, top 42% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Gene expression of carbonic anhydrase 9 (CA9) inJournal of medicine and life · 2022
    Article
  2. Increasing Role of Targeted Immunotherapies in the Treatment of AML.International journal of molecular sciences · 2022
    Review
  3. Article
  4. Review
  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

6 authors at 1 institution in 1 country.

Barbara-Ann GuinnDepartment of Haematological Medicine, King's College London School of Medicine, The Rayne Institute, 123 Coldharbour Lane, London, SE5 9NU.
Azim Mohamedali
Ken I Mills
Barbara Czepulkowski
Michael Schmitt
Jochen Greiner
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Leukemia associated antigens (LAAs) are being increasingly identified by methods such as cytotoxic T-lymphocyte (CTL) cloning, serological analysis of recombinant cDNA expression libraries (SEREX) and mass spectrometry (MS). In additional, large scale screening techniques such as microarray, single nucleotide polymorphisms (SNPs), serial analysis of gene expression (SAGE) and 2-dimensional gel electrophoresis (2-DE) have expanded our understanding of the role that tumor antigens play in the biological processes which are perturbed in acute myeloid leukemia (AML). It has become increasingly apparent that these antigens play a dual role, not only as targets for immunotherapy, but also as biomarkers of disease state, stage, response to treatment and survival. We need biomarkers to enable the identification of the patients who are most likely to benefit from specific treatments (conventional and/or novel) and to help clinicians and scientists improve clinical end points and treatment design. Here we describe the LAAs identified in AML, to date, which have already been shown to play a dual role as biomarkers of AML disease.

Indexed as

Acute myeloid leukemiacancer-testis antigensimmunotherapyleukemia/tumor-associated antigensmass spectrometrymicroarraySEREX

Identifiers

PMID19662193
PMCPMC2717836
OpenAlexW1542575213

What OpenQuestion holds

Textmetadata
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.