Evidence map›Paper›PMID 29145972›Full record

ReviewDrug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy2017

Cancer Immunotherapy Getting Brainy: Visualizing the Distinctive CNS Metastatic Niche to Illuminate Therapeutic Resistance.

Mark Owyong, Niloufar Hosseini-Nassab, Gizem Efe, Alexander Honkala, Renske J E van den Bijgaart, Vicki Plaks, Bryan Ronain Smith

Open access · greenAbstract readReview
In one paragraph

Review in Drug resistance updates : reviews and commentaries in antimicrobial and anticancer chemotherapy, 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
1.7field-weighted citation impact, top 16% 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, 19 citations in OpenAlex.

  1. Review
  2. Immunomodulatory Drugs in Melanoma Brain Metastases.Discoveries (Craiova, Romania) · 2019
    Review
  3. Review
  4. 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

7 authors at 3 institutions in 2 countries.

Mark OwyongDepartment of Anatomy, University of California, San Francisco, CA 94143-0452, USA.
Niloufar Hosseini-NassabDepartment of Radiology, Stanford University, Stanford, CA 94306, USA.
Gizem EfeDepartment of Anatomy, University of California, San Francisco, CA 94143-0452, USA.
Alexander HonkalaDepartment of Radiology, Stanford University, Stanford, CA 94306, USA.
Renske J E van den BijgaartDepartment of Radiation Oncology, Radiotherapy and Oncoimmunology Laboratory, Radboudumc, Geert Grooteplein Zuid 32, 6525, GA, Nijmegen, The Netherlands.
Vicki PlaksDepartment of Orofacial Sciences, University of California, San Francisco, CA 94143, USA. Electronic address: vicki.plaks@ucsf.edu.
Bryan Ronain SmithDepartment of Radiology, Stanford University, Stanford, CA 94306, USA. Electronic address: brsmith@stanford.edu.
Stanford University · USUniversity of California, San Francisco · USRadboud University Medical Center · NL

Funding

How do Nanoparticles Target Cancer? An In Vivo Experimental/Mathematical StudyK99CA160764 · NCI · STANFORD UNIVERSITY · PI SMITH, BRYAN RONAIN · 2011 to 2012
$348k
NCI NIH HHS K99 CA160764
6 · The paper itself

Abstract

The advent of cancer immunotherapy (CIT) and its success in treating primary and metastatic cancer may offer substantially improved outcomes for patients. Despite recent advancements, many malignancies remain resistant to CIT, among which are brain metastases, a particularly virulent disease with no apparent cure. The immunologically unique niche of the brain has prompted compelling new questions in immuno-oncology such as the effects of tissue-specific differences in immune response, heterogeneity between primary tumors and distant metastases, and the role of spatiotemporal dynamics in shaping an effective anti-tumor immune response. Current methods to examine the immunobiology of metastases in the brain are constrained by tissue processing methods that limit spatial data collection, omit dynamic information, and cannot recapitulate the heterogeneity of the tumor microenvironment. In the current review, we describe how high-resolution, live imaging tools, particularly intravital microscopy (IVM), are instrumental in answering these questions. IVM of pre-clinical cancer models enables short- and long-term observations of critical immunobiology and metastatic growth phenomena to potentially generate revolutionary insights into the spatiotemporal dynamics of brain metastasis, interactions of CIT with immune elements therein, and influence of chemo- and radiotherapy. We describe the utility of IVM to study brain metastasis in mice by tracking the migration and growth of fluorescently-labeled cells, including cancer cells and immune subsets, while monitoring the physical environment within optical windows using imaging dyes and other signal generation mechanisms to illuminate angiogenesis, hypoxia, and/or CIT drug expression within the metastatic niche. Our review summarizes the current knowledge regarding brain metastases and the immune milieu, presents the current status of CIT and its prospects in targeting brain metastases to circumvent therapeutic resistance, and proposes avenues to utilize IVM to study CIT drug delivery and therapeutic efficacy in preclinical models that will ultimately facilitate novel drug discovery and innovative combination therapies.

Indexed as

Drug Resistance, NeoplasmAnimalsAntineoplastic Agents, ImmunologicalBrainBrain NeoplasmsDrug Delivery SystemsHumansImmunotherapyIntravital MicroscopyMedical OncologyMiceTreatment OutcomeTumor MicroenvironmentAntineoplastic Agents, Immunological

Identifiers

PMID29145972
PMCPMC5728435
OpenAlexW2761515530

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.