ReviewPathology oncology research : POR2002
New molecular methods for classification, diagnosis and therapy prediction of hematological malignancies.
Review in Pathology oncology research : POR, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Article
- Exploring therapeutic potentials of baicalin and its aglycone baicalein for hematological malignancies.Cancer letters · 2014Review
- Identification of genes differentially expressed in benign versus malignant thyroid tumors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Normal functions of the cell are based on the precise regulation of various genes. If this strict regulation and the hierarchy of genes becomes upset due to flaws in this system, the result will be cellular dysfunction which eventually may lead to carcinogenic transformation. Two basic challenges of the classification of cancers are the discovery of new molecular markers characteristic to defined disease groups and the classification of already diagnosed or new cases into existing groups. This precise classification may open the door to tailored treatment or project the expected outcome of the disease. Today there is unlimited access available to the databases containing sequences and localization of the genes within the confines of Human Genome project. It provides significant help for the discovery of chromosome abnormalities and systematic analysis of gene expression patterns. This is important not only to understand normal functions of the cells, but it also contributes to the identification of new genes that are characteristic to given disease groups as markers and that are potential drug targets. Until the second half of the twentieth century the study of the function and regulation of genes was based on step-by-step investigation of individual genes. Regarding the fact, that the genomes of an increasing number of organisms have become known in whole or in part, numerous new techniques have been developed that facilitated the systematic analysis of gene functions. The aim of this study is to summarize the new, molecular based possibilities for classification, diagnosis and prognosis of hematological malignancies, as well as to summarize the main results of these areas.
Indexed as
Identifiers
12579208What OpenQuestion holds
Registered trials
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.