Evidence map›Paper›PMID 35802914›Full record

ReviewAdvanced biology2022

Neural Regulation of Cancer: Cancer-Induced Remodeling of the Central Nervous System.

Saritha Krishna, Shawn L Hervey-Jumper

Open access · greenAbstract readReview
In one paragraph

Review in Advanced biology, 2022. 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
1.7field-weighted citation impact, top 15% 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, 13 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

2 authors at 1 institution in 1 country.

Saritha KrishnaDepartment of Neurological Surgery, University of California, San Francisco, CA, 94143, USA.
Shawn L Hervey-JumperDepartment of Neurological Surgery, University of California, San Francisco, CA, 94143, USA.ORCID 0000-0003-4699-260X
University of California, San Francisco · US

Funding

Intratumoral functional connectivity with implications on synaptogenesis and aphasia recovery in adult astrocytic WHO II-III gliomaK08NS110919 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERVEY-JUMPER, SHAWN L. · 2019 to 2023
$1.0M
NINDS NIH HHS K08 NS110919
6 · The paper itself

Abstract

In recent years, there have been significant advances in understanding the neuronal influence on the biology of solid tumors such as prostate, pancreatic, gastric, and brain cancers. An increasing amount of experimental evidence across multiple tumor types strongly suggests the existence of bidirectional crosstalk between cancer cells and the neural microenvironment. However, unlike cancers affecting many solid organs, brain tumors, namely gliomas, can synaptically integrate into neural circuits and thus can exert a greater potential to induce dynamic remodeling of functional circuits resulting in long-lasting behavioral changes. The first part of the review describes dynamic changes in language, sensory, and motor networks following glioma development and presents evidence focused on how different patterns of glioma-induced cortical reorganization may predict the degree and time course of functional recovery in brain tumor patients. The second part focuses on the network and cellular-level mechanisms underlying glioma-induced cerebral reorganization. Finally, oncological and clinical factors influencing glioma-induced network remodeling in glioma patients are reviewed.

Indexed as

Brain NeoplasmsGliomaBrain MappingCentral Nervous SystemHumansMaleNeuronal PlasticityTumor Microenvironmentcancer related cognitive impairmentscentral nervous system plasticitycognitioncortical remodelingdiffuse gliomaneuron network, glioma network

Identifiers

PMID35802914
PMCPMC10182823
OpenAlexW4284968145

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.