Evidence map›Paper›PMID 19813699›Full record

ArticleCancer immunity2009

Real-time PCR analysis of genes encoding tumor antigens in esophageal tumors and a cancer vaccine.

Brian T Weinert, Kausilia K Krishnadath, Francesca Milano, Ayako W Pedersen, Mogens H Claesson, Mai-Britt Zocca

Open access · greenAbstract readComparative Study
In one paragraph

Article in Cancer immunity, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

8 citing papers in PubMed, 16 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 1 institution in 1 country.

Brian T WeinertDanDrit Biotech A/S, Copenhagen, Denmark.
Kausilia K Krishnadath
Francesca Milano
Ayako W Pedersen
Mogens H Claesson
Mai-Britt Zocca
Academic Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor antigens are the primary target of therapeutic cancer vaccines. We set out to define and compare the expression pattern of tumor antigen genes in esophagus carcinoma biopsies and in an allogeneic tumor lysate-based cancer vaccine, MelCancerVac. Cells used for vaccine production were treated with the DNA methyltransferase inhibitor 5-aza-2'-deoxycytidine (5-aza-CdR) to determine whether this treatment could improve the profile of tumor antigen genes expressed in these cells. In addition, the presence of MAGE-A tumor antigen protein was evaluated in the purified tumor cell lysate used in the production of the vaccine. Quantitative PCR was used to assay 74 tumor antigen genes in patients with squamous cell carcinoma of the esophagus. 81% (13/16) of tumors expressed more than five cancer/testis (CT) antigens. A total of 96 genes were assayed in the tumor cell clone (DDM1.7) used to make tumor cell lysate for vaccine preparation. Gene expression in DDM1.7 cells was compared with three normal tissues; 16 tumor antigen genes were induced more than ten-fold relative to normal tissues. Treatment with 5-aza-CdR induced expression of an additional 15 tumor antigens to a total of 31. MAGE-A protein was detected in cell lysate by Western blot at an estimated concentration of 0.2 micrograms/ml or 0.01% of the total protein.

Indexed as

Gene Expression ProfilingAgedAntigens, NeoplasmAzacitidineCancer VaccinesCarcinoma, Squamous CellClone CellsDecitabineDNA Modification MethylasesEpithelial CellsEsophageal NeoplasmsFemaleHumansMaleMiddle AgedNeoplasm ProteinsAntigens, NeoplasmAzacitidineCancer VaccinesDecitabineDNA Modification MethylasesMAGEA3 protein, humanNeoplasm Proteins

Identifiers

PMID19813699
PMCPMC2935766
OpenAlexW2128882899

What OpenQuestion holds

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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.