Evidence map›Paper›PMID 27873078›Full record

ReviewCancer metastasis reviews2016

Advances in decoding breast cancer brain metastasis.

Chenyu Zhang, Dihua Yu

Open access · greenAbstract readReview
In one paragraph

Review in Cancer metastasis reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Biological profile of breast cancer brain metastasis.Acta neuropathologica communications · 2025
    Review
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  4. Review
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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

2 authors at 1 institution in 1 country.

Chenyu ZhangDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA.
Dihua YuDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd., Houston, TX, 77030, USA. dyu@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Stromal activation in the progression of high ErbB2/1433zeta DCIS to IBCR01CA112567 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YU, DIHUA · 2005 to 2016
$3.0M
Target p70S6K for Chemodietary Prevention/Early Intervention of ER- Breast CancerR01CA184836 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YU, DIHUA · 2015 to 2019
$1.8M
NCI NIH HHS R01 CA112567NCI NIH HHS R01 CA184836
6 · The paper itself

Abstract

The past decade has witnessed impressive advances in cancer treatment ushered in by targeted and immunotherapies. However, with significantly prolonged survival, upon recurrence, more patients become inflicted by brain metastasis, which is mostly refractory to all currently available therapeutic regimens. Historically, brain metastasis is an understudied area in cancer research, partly due to the dearth of appropriate experimental models that closely simulate the special biological features of metastasis in the unique brain environment and to the sophistication of techniques required to perform in-depth studies of the extremely complex and challenging brain metastasis. Yet, with increasing clinical demand for more effective treatment options, brain metastasis research has rapidly advanced in recent years. The present review spotlights the recent major progresses in basic and translational studies of brain metastasis with focuses on new animal models, novel imaging technologies, omics "big data" resources, and some new and exciting biological insights on brain metastasis.

Indexed as

AnimalsBrain NeoplasmsBreast NeoplasmsFemaleHumansAnimal modelsBrain metastasisBreast cancerGenomicsNeuroimaging

Identifiers

PMID27873078
PMCPMC5215972
OpenAlexW2555850704

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.