Evidence map›Paper›PMID 14739489›Full record

ReviewEndocrine pathology2003

Potential applications of molecular biology in neuroendocrine tumors.

Tommaso Emmer, Marco Volante, Alberto Pagani, Elena Allia, Pellegrino Crafa, Gianni Bussolati

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine pathology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 2 countries.

Tommaso EmmerDepartment of Biomedical Sciences and Oncology, University of Turin, Turin, Italy.
Marco Volante
Alberto Pagani
Elena Allia
Pellegrino Crafa
Gianni Bussolati
Department of Medical Sciences · BYUniversity of Turin · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of molecular biology procedures on neuroendocrine (NE) tumor biology is gradually evolving from purely academic and research studies to clinical applications. This review deals with applications of molecular techniques in neuroendocrine tumors, with special reference to their potential for diagnostic, prognostic, or therapeutic impact. Since the cloning of the genes involved in inherited endocrine tumor syndromes, molecular analysis of the responsible genetic alterations has become a routine diagnostic tool to select affected patients and their relatives, and also an interesting approach to investigate the pathogenesis of neuroendocrine tumors. Assessment of the clonal composition of endocrine tumors could be useful to differentiate hyperplastic versus either adenomatous or carcinomatous conditions, as well as to better understand the clonal relationship between different neoplastic populations in mixed tumors. In addition, molecular approaches allow high sensitivity both in defining the neuroendocrine phenotype in poorly differentiated tumors and in searching for micrometastasis during the follow up of patients with endocrine tumors. Finally, the detection of peptide hormone receptors (e.g., oxytocin and somatostatin receptors) and the development of potent synthetic analogs of such peptides, are opening promising applications in the diagnosis and therapy of endocrine tumors.

Indexed as

Biomarkers, TumorClone CellsGene DeletionHumansMutationNeoplasm MetastasisNeuroendocrine TumorsPolymerase Chain ReactionPrognosisReceptors, PeptideReverse Transcriptase Polymerase Chain ReactionRNA, MessengerBiomarkers, TumorReceptors, PeptideRNA, Messenger

Identifiers

PMID14739489
OpenAlexW2087179581

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.