Evidence map›Paper›PMID 25252622›Full record

ReviewEndocrine pathology2014

Therapeutic biomarkers in lung neuroendocrine neoplasia.

Luisella Righi, Marco Volante, Ida Rapa, Simona Vatrano, Giuseppe Pelosi, Mauro Papotti

Abstract readReview
PubMed Publisher
In one paragraph

Review in Endocrine pathology, 2014. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Systemic treatment for lung carcinoids: from bench to bedside.Clinical and translational medicine · 2019
    Review
  4. Cyto-histology in NET: what is necessary today and what is the future?Reviews in endocrine & metabolic disorders · 2017
    Review
  5. Observational
  6. Article
  7. Review
  8. Review
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.

Luisella RighiDepartment of Oncology, University of Turin at San Luigi Hospital, Regione Gonzole 10, 10043, Orbassano, Turin, Italy.
Marco Volante
Ida Rapa
Simona Vatrano
Giuseppe Pelosi
Mauro Papotti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The well-known classification of neuroendocrine neoplasms of the lung into four major subtypes (including typical and atypical carcinoids and small- and large-cell neuroendocrine carcinomas) has a proven prognostic validity but only partially helps to predict the response to specific therapies. Therapeutic biomarkers are incompletely known and include morphological, immunophenotypic, and molecular markers. Morphology alone has no specific predictive role, nor has any immunophenotypic marker been proven to bear predictive implications. Ki67 is a relevant prognostic marker and can indirectly predict response to chemotherapy, when levels are extremely high in high-grade neuroendocrine (NE) carcinomas. The expression of somatostatin receptors, especially of the type 2A, has been shown to predict response to somatostatin analog treatments, paralleling the information derived from octreotide scintigraphy. mTOR pathway is targeted by specific inhibitors, but the exact cellular molecules predicting response are still to be defined. It seems that high levels of phosphorylated forms of mTOR and of its downstream factor S6K are associated to a better response to rapalogs in experimental models. Data from gene expression profiling and mutational analyses are currently emerging, providing a more detailed map of different molecular activation pathways, potentially leading to a more accurate molecular classification of lung NE tumors as well as to the discovery of new therapeutic targets. The combination of mutational profiles with those of upregulated or downregulated genes also by gene gains or losses may ultimately provide a better characterization of NE tumor histological types in terms of response to specific chemotherapy or biotherapy.

Indexed as

Biomarkers, TumorCarcinoid TumorHistocytochemistryHumansKi-67 AntigenLung NeoplasmsPredictive Value of TestsReceptors, SomatostatinSomatostatinTOR Serine-Threonine KinasesBiomarkers, TumorKi-67 AntigenMTOR protein, humanReceptors, SomatostatinSomatostatinTOR Serine-Threonine Kinases

Identifiers

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.