Evidence map›Paper›PMID 36245013›Full record

ArticleJournal of neuro-oncology2022

A quantitative characterization of the spatial distribution of brain metastases from breast cancer and respective molecular subtypes.

Saeedeh Mahmoodifar, Dhiraj J Pangal, Tyler Cardinal, David Craig, Thomas Simon, Ben Yi Tew, Wensha Yang, Eric Chang, Min Yu, Josh Neman and 5 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuro-oncology, 2022. 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
4.0field-weighted citation impact, top 5% 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, 20 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 2 institutions in 1 country.

Saeedeh MahmoodifarDepartment of Physics, Astronomy of University of Southern California, Los Angeles, CA, 90089, USA.
Dhiraj J PangalDepartment of Neurosurgery, Keck School of Medicine of University of Southern California, 1300 N. State Street, Suite 3300, Los Angeles, CA, 90033, USA.
Tyler CardinalDepartment of Neurosurgery, Keck School of Medicine of University of Southern California, 1300 N. State Street, Suite 3300, Los Angeles, CA, 90033, USA.
David CraigDepartment of Translational Genomics, Keck School of Medicine of University of Southern California, 1450 Biggy Street, Los Angeles, CA, 90033, USA.
Thomas SimonDepartment of Translational Genomics, Keck School of Medicine of University of Southern California, 1450 Biggy Street, Los Angeles, CA, 90033, USA.
Ben Yi TewDepartment of Translational Genomics, Keck School of Medicine of University of Southern California, 1450 Biggy Street, Los Angeles, CA, 90033, USA.
Wensha YangKeck School of Medicine of University of Southern California, Los Angeles, CA, 90033, USA.
Eric ChangKeck School of Medicine of University of Southern California, Los Angeles, CA, 90033, USA.
Min YuKeck School of Medicine of University of Southern California, Los Angeles, CA, 90033, USA.
Josh NemanDepartment of Neurosurgery, Keck School of Medicine of University of Southern California, 1300 N. State Street, Suite 3300, Los Angeles, CA, 90033, USA.
Jeremy MasonConvergent Science Institute in Cancer, Michelson Center for Convergent Bioscience of University of Southern California, Los Angeles, CA, 90089, USA.
Arthur TogaKeck School of Medicine of University of Southern California, Los Angeles, CA, 90033, USA.
Bodour SalhiaDepartment of Translational Genomics, Keck School of Medicine of University of Southern California, 1450 Biggy Street, Los Angeles, CA, 90033, USA.
Gabriel ZadaDepartment of Neurosurgery, Keck School of Medicine of University of Southern California, 1300 N. State Street, Suite 3300, Los Angeles, CA, 90033, USA.
Paul K NewtonDepartment of Aerospace and Mechanical Engineering, Mathematics and The Ellison Institute for Transformative Medicine of University of Southern California, Viterbi School of Engineering of University of Southern California, 854 Downey Way, Los Angeles, CA, 90089, USA. newton@usc.edu.
University of Southern California · USState Street (United States) · US

Funding

Advanced prediction of GBM recurrence (TIME) for personalized radiotherapyR21CA267139 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI YANG, WENSHA · 2022 to 2024
$411k
NCI NIH HHS R21 CA267139NIH HHS USC Norris Comprehensive Cancer Center Pilot Award
6 · The paper itself

Abstract

purposeBrain metastases (BM) remain a significant cause of morbidity and mortality in breast cancer (BC) patients. Specific factors promoting the process of BM and predilection for selected neuro-anatomical regions remain unknown, yet may have major implications for prevention or treatment. Anatomical spatial distributions of BM from BC suggest a predominance of metastases in the hindbrain and cerebellum. Systematic approaches to quantifying BM location or location-based analyses based on molecular subtypes, however, remain largely unavailable.

methodsWe analyzed stereotactic Cartesian coordinates derived from 134 patients undergoing gamma- knife radiosurgery (GKRS) for treatment of 407 breast cancer BMs to quantitatively study BM spatial distribution along principal component axes and by intrinsic molecular subtype (ER, PR, Herceptin). We used kernel density estimators (KDE) to highlight clustering and distribution regions in the brain, and we used the metric of mutual information (MI) to tease out subtle differences in the BM distributions associated with different molecular subtypes of BC. BM location maps according to vascular and anatomical distributions using Cartesian coordinates to aid in systematic classification of tumor locations were additionally developed.

resultsWe corroborated that BC BMs show a consistent propensity to arise posteriorly and caudally, and that Her2+ tumors are relatively more likely to arise medially rather than laterally. To compare the distributions among varying BC molecular subtypes, the mutual information metric reveal that the ER-PR-Her2+ and ER-PR-Her2- subtypes show the smallest amount of mutual information and are most molecularly distinct. The kernel density contour plots show a propensity for triple negative BC to arise in more superiorly or cranially situated BMs.

conclusionsWe present a novel and shareable workflow for characterizing and comparing spatial distributions of BM which may aid in identifying therapeutic or diagnostic targets and interactions with the tumor microenvironment. Further characterization of these patterns with larger multi-institutional data-sets may have major impacts on treatment or management of cancer patients.

Indexed as

Brain NeoplasmsBreast NeoplasmsRadiosurgeryTriple Negative Breast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansTumor MicroenvironmentErb-b2 Receptor Tyrosine KinasesBrain metastasesBreast cancerKernel density estimatorsMutual informationPrincipal components

Identifiers

PMID36245013
PMCPMC9673482
OpenAlexW4306361728

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.