Evidence map›Paper›PMID 15621987›Full record

ReviewAnnals of surgery2005

DNA array-based gene profiling: from surgical specimen to the molecular portrait of cancer.

Simone Mocellin, Maurizio Provenzano, Carlo Riccardo Rossi, Pierluigi Pilati, Donato Nitti, Mario Lise

Erratum issuedOpen access · greenAbstract readReview
In one paragraph

Review in Annals of surgery, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. An gene expression pattern.Journal of natural science, biology, and medicine · 2012
    Article
  4. Molecular therapy in the microRNA era.The pharmacogenomics journal · 2007
    Review
  5. RNA interference: ready to silence cancer?Journal of molecular medicine (Berlin, Germany) · 2006
    Review
  6. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Simone MocellinSurgery Branch, Department of Oncological and Surgical Sciences, University of Padova, Italy. mocellins@hotmail.com
Maurizio Provenzano
Carlo Riccardo Rossi
Pierluigi Pilati
Donato Nitti
Mario Lise
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a heterogeneous disease in most respects, including its cellularity, different genetic alterations, and diverse clinical behaviors. Traditional molecular analyses are reductionist, assessing only 1 or a few genes at a time, thus working with a biologic model too specific and limited to confront a process whose clinical outcome is likely to be governed by the combined influence of many genes. The potential of functional genomics is enormous, because for each experiment, thousands of relevant observations can be made simultaneously. Accordingly, DNA array, like other high-throughput technologies, might catalyze and ultimately accelerate the development of knowledge in tumor cell biology. Although in its infancy, the implementation of DNA array technology in cancer research has already provided investigators with novel data and intriguing new hypotheses on the molecular cascade leading to carcinogenesis, tumor aggressiveness, and sensitivity to antiblastic agents. Given the revolutionary implications that the use of this technology might have in the clinical management of patients with cancer, principles of DNA array-based tumor gene profiling need to be clearly understood for the data to be correctly interpreted and appreciated. In the present work, we discuss the technical features characterizing this powerful laboratory tool and review the applications so far described in the field of oncology.

Indexed as

Antineoplastic AgentsCell Transformation, NeoplasticCluster AnalysisGene Expression ProfilingHumansNeoplasmsNeural Networks, ComputerOligonucleotide Array Sequence AnalysisPrognosisAntineoplastic Agents

Identifiers

PMID15621987
PMCPMC1356842
OpenAlexW2416435514

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.