Evidence map›Paper›PMID 31750239›Full record

ArticleFrontiers in oncology2019

Tissues Harvested Using an Automated Surgical Approach Confirm Molecular Heterogeneity of Glioblastoma and Enhance Specimen's Translational Research Value.

Edie Zusman, Maxim Sidorov, Alexandria Ayala, Jimmin Chang, Eric Singer, Michelle Chen, Pierre-Yves Desprez, Sean McAllister, Nathan Salomonis, Kashish Chetal and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2019. 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
0.4field-weighted citation impact, top 33% 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.

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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

15 authors at 5 institutions in 1 country.

Edie ZusmanNorthBay Medical Center, Fairfield, CA, United States.
Maxim SidorovCalifornia Pacific Medical Center (CPMC) Research Institute, San Francisco, CA, United States.
Alexandria AyalaPacific Brain and Spine Medical Group, Eden Medical Center-Sutter Research, Castro Valley, CA, United States.
Jimmin ChangPacific Brain and Spine Medical Group, Eden Medical Center-Sutter Research, Castro Valley, CA, United States.
Eric SingerCalifornia Pacific Medical Center (CPMC) Research Institute, San Francisco, CA, United States.
Michelle ChenCalifornia Pacific Medical Center (CPMC) Research Institute, San Francisco, CA, United States.
Pierre-Yves DesprezCalifornia Pacific Medical Center (CPMC) Research Institute, San Francisco, CA, United States.
Sean McAllisterCalifornia Pacific Medical Center (CPMC) Research Institute, San Francisco, CA, United States.
Nathan SalomonisCincinnati Children's Hospital Medical Center (CCHMC) Biomedical Informatics, Cincinnati, OH, United States.
Kashish ChetalCincinnati Children's Hospital Medical Center (CCHMC) Biomedical Informatics, Cincinnati, OH, United States.
Gautam PrasadPacific Brain and Spine Medical Group, Eden Medical Center-Sutter Research, Castro Valley, CA, United States.
Tyler KangPacific Brain and Spine Medical Group, Eden Medical Center-Sutter Research, Castro Valley, CA, United States.
Joseph MarkNICO Corporation, Indianapolis, IN, United States.
Lawrence DickinsonPacific Brain and Spine Medical Group, Eden Medical Center-Sutter Research, Castro Valley, CA, United States.
Liliana SoroceanuCalifornia Pacific Medical Center (CPMC) Research Institute, San Francisco, CA, United States.
California Pacific Medical Center · USEden Medical Center · USCincinnati Children's Hospital Medical Center · USBay Medical Center · USNICO (United States) · US

Funding

Unbiased identification of spliceosome vulnerabilities across cancerR01CA226802 · NCI · CINCINNATI CHILDRENS HOSP MED CTR · PI SALOMONIS, NATHAN G. · 2018 to 2022
$2.4M
NCI NIH HHS R01 CA226802
6 · The paper itself

Abstract

Glioblastoma (GBM) is the most aggressive primary brain tumor in adults. Designing effective individualized therapies for GBM requires quality fresh tissue specimens, and a comprehensive molecular profile of this highly heterogenous neoplasm. Novel neuro-surgical approaches, such as the automated resection NICO Myriad™ system, are increasingly used by neurosurgeons to better reach the invasive front of tumors. However, no information exists on how harvesting GBM tissue using this approach may impact the translational research value of the sample. Here, we set out to characterize matched specimens from 15 patients, where one tissue sample was obtained using traditional tumor de-bulking (herein referred to as "en bloc" sample), and the other sample was obtained using the Myriad

Indexed as

glioblastomaMyriadPDXRNA seqtumor heterogeneity

Identifiers

PMID31750239
PMCPMC6843001
OpenAlexW2981623876

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.