Evidence map›Paper›PMID 28615236›Full record

ReviewEndocrine-related cancer2017

Targeting mitotic pathways for endocrine-related cancer therapeutics.

Shivangi Agarwal, Dileep Varma

Open access · bronzeAbstract readReview
In one paragraph

Review in Endocrine-related cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

2 authors at 1 institution in 1 country.

Shivangi AgarwalDepartment of Cell and Molecular BiologyFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Dileep VarmaDepartment of Cell and Molecular BiologyFeinberg School of Medicine, Northwestern University, Chicago, Illinois, USA dileep.varma@northwestern.edu.
Northwestern University · US

Funding

Role of the Ndc80 Loop Domain and Cdt1 in Kinetochore Microtubule AttachmentsR00CA178188 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI VARMA, DILEEP · 2015 to 2017
$660k
NCI NIH HHS R00 CA178188
6 · The paper itself

Abstract

A colossal amount of basic research over the past few decades has provided unprecedented insights into the highly complex process of cell division. There is an ever-expanding catalog of proteins that orchestrate, participate and coordinate in the exquisite processes of spindle formation, chromosome dynamics and the formation and regulation of kinetochore microtubule attachments. Use of classical microtubule poisons has still been widely and often successfully used to combat a variety of cancers, but their non-selective interference in other crucial physiologic processes necessitate the identification of novel druggable components specific to the cell cycle/division pathway. Considering cell cycle deregulation, unscheduled proliferation, genomic instability and chromosomal instability as a hallmark of tumor cells, there lies an enormous untapped terrain that needs to be unearthed before a drug can pave its way from bench to bedside. This review attempts to systematically summarize the advances made in this context so far with an emphasis on endocrine-related cancers and the avenues for future progress to target mitotic mechanisms in an effort to combat these dreadful cancers.

Indexed as

AnimalsAntimitotic AgentsEndocrine Gland NeoplasmsHumansMicrotubulesMitosisTubulinAntimitotic AgentsTubulincancerendocrinekinetochoresmicrotubulesmitosisspindletherapeutics

Identifiers

PMID28615236
PMCPMC5557717
OpenAlexW2626371847

What OpenQuestion holds

Textmetadata
LicenceTDM
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.