Evidence map›Paper›PMID 29496694›Full record

ReviewCancer genomics & proteomics

Insights into Novel Prognostic and Possible Predictive Biomarkers of Lung Neuroendocrine Tumors.

Dimitrios Moris, Ioannis Ntanasis-Stathopoulos, Diamantis I Tsilimigras, Mohamad A Adam, Chi-Fu Jeffrey Yang, David Harpole, Stamatios Theocharis

Open access · diamondAbstract readReview
In one paragraph

Review in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 14 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

7 authors at 1 institution in 1 country.

Dimitrios MorisDepartment of Surgery, Duke University, Durham, NC, U.S.A. dimmoris@yahoo.com.
Ioannis Ntanasis-StathopoulosDepartment of Clinical Therapeutics, Alexandra General Hospital, National and Kapodistrian University of Athens, Athens, Greece.
Diamantis I TsilimigrasFirst Department of Pathology, National and Kapodistrian University of Athens, Athens, Greece.
Mohamad A AdamDepartment of Surgery, Duke University, Durham, NC, U.S.A.
Chi-Fu Jeffrey YangDepartment of Surgery, Duke University, Durham, NC, U.S.A.
David HarpoleDepartment of Surgery, Duke University, Durham, NC, U.S.A.
Stamatios TheocharisFirst Department of Pathology, National and Kapodistrian University of Athens, Athens, Greece.
National and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary lung neuroendocrine tumors (NETs) consist of typical and atypical carcinoids, large-cell neuroendocrine carcinomas and small-cell lung carcinomas. NETs are highly heterogeneous in histological characteristics, clinical presentation and natural history. While there are morphological and immunohistochemical criteria to establish diagnosis, there is a lack of universal consensus for prognostic factors or therapeutic targets for personalized treatment of the disease. Thus, identifying potential markers of neuroendocrine differentiation and prognostic factors remains of high importance. This review provides an insight into promising molecules and genes that are implicated in NET carcinogenesis, cell-cycle regulation, chromatin remodeling, apoptosis, intracellular cascades and cell-cell interactions. Additionally it supports a basis for classifying these tumors into categories that distinct molecular characteristics and disease natural history, which may have a direct impact on treatment options. In light of the recent approval of everolimus, mammalian target of rapamycin pathway inhibition and related biomarkers may play a central role in the treatment of pulmonary NETs. Future clinical trials that integrate molecular profiling are deemed necessary in order to treat patients with NET on a personalized basis.

Indexed as

ApoptosisBiomarkersHumansLung NeoplasmsNeuroendocrine TumorsPrognosisBiomarkersbiomarkerslung neoplasmsNETprognosisreview

Identifiers

PMID29496694
PMCPMC5892602
OpenAlexW2792490359

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.