Evidence map›Paper›PMID 32169100›Full record

ArticleBreast cancer research : BCR2020

Diffuse optical spectroscopic imaging reveals distinct early breast tumor hemodynamic responses to metronomic and maximum tolerated dose regimens.

Anup Tank, Hannah M Peterson, Vivian Pera, Syeda Tabassum, Anais Leproux, Thomas O'Sullivan, Eric Jones, Howard Cabral, Naomi Ko, Rita S Mehta and 2 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 71 citations in OpenAlex.

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  9. Optimizing clinical OBiomedical optics express · 2024
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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

12 authors at 4 institutions in 1 country.

Anup TankDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA, 02215, USA.
Hannah M PetersonDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA, 02215, USA.
Vivian PeraDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA, 02215, USA.
Syeda TabassumDepartment of Electrical Engineering, Boston University, Boston, MA, USA.
Anais LeprouxBeckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, California, USA.
Thomas O'SullivanDepartment of Electrical Engineering, University of Notre Dame, Notre Dame, IN, USA.
Eric JonesDepartment of Biostatistics, Boston University, Boston, MA, USA.
Howard CabralDepartment of Biostatistics, Boston University, Boston, MA, USA.
Naomi KoDepartment of Hematology and Medical Oncology, Boston Medical Center, Boston, MA, USA.
Rita S MehtaDepartment of Medicine, University of California Irvine, Irvine, California, USA.
Bruce J TrombergBeckman Laser Institute and Medical Clinic, University of California, Irvine, Irvine, California, USA.
Darren RoblyerDepartment of Biomedical Engineering, Boston University, 44 Cummington Mall, Boston, MA, 02215, USA. roblyer@bu.edu.ORCID 0000-0002-5301-4364
Boston University · USUniversity of California, Irvine · USBoston Medical Center · USUniversity of Notre Dame · US

Funding

ARRA - ADOPT New Technologies for RDC/CDMSU01CA080098 · NCI · AMERICAN COLLEGE OF RADIOLOGY · PI SCHNALL, MITCHELL D. · 1999 to 2011
$182.7M
Univ.of Calif., Irvine Cancer Center Support GrantP30CA062203 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI Melanie Funes · 1994 to 2026
$57.9M
BIOSTATISTICS DATA MANAGEMENT CENTER FOR ACROINU01CA079778 · NCI · BROWN UNIVERSITY · PI GATSONIS, CONSTANTINE A. · 1999 to 2011
$48.6M
Developing DOSI Technology for Monitoring Response To Breast Cancer ChemotherapyR01CA142989 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI DURKIN, ANTHONY J · 2010 to 2017
$4.1M
NCI NIH HHS P30 CA062203NCI NIH HHS R01 CA142989NCI NIH HHS U01 CA079778NCI NIH HHS U01 CA080098
6 · The paper itself

Abstract

backgroundBreast cancer patients with early-stage disease are increasingly administered neoadjuvant chemotherapy (NAC) to downstage their tumors prior to surgery. In this setting, approximately 31% of patients fail to respond to therapy. This demonstrates the need for techniques capable of providing personalized feedback about treatment response at the earliest stages of therapy to identify patients likely to benefit from changing treatment. Diffuse optical spectroscopic imaging (DOSI) has emerged as a promising functional imaging technique for NAC monitoring. DOSI uses non-ionizing near-infrared light to provide non-invasive measures of absolute concentrations of tissue chromophores such as oxyhemoglobin. In 2011, we reported a new DOSI prognostic marker, oxyhemoglobin flare: a transient increase in oxyhemoglobin capable of discriminating NAC responders within the first day of treatment. In this follow-up study, DOSI was used to confirm the presence of the flare as well as to investigate whether DOSI markers of NAC response are regimen dependent.

methodsThis dual-center study examined 54 breast tumors receiving NAC measured with DOSI before therapy and the first week following chemotherapy administration. Patients were treated with either a standard of care maximum tolerated dose (MTD) regimen or an investigational metronomic (MET) regimen. Changes in tumor chromophores were tracked throughout the first week and compared to pathologic response and treatment regimen at specific days utilizing generalized estimating equations (GEE).

resultsWithin patients receiving MTD therapy, the oxyhemoglobin flare was confirmed as a prognostic DOSI marker for response appearing as soon as day 1 with post hoc GEE analysis demonstrating a difference of 48.77% between responders and non-responders (p < 0.0001). Flare was not observed in patients receiving MET therapy. Within all responding patients, the specific treatment was a significant predictor of day 1 changes in oxyhemoglobin, showing a difference of 39.45% (p = 0.0010) between patients receiving MTD and MET regimens.

conclusionsDOSI optical biomarkers are differentially sensitive to MTD and MET regimens at early timepoints suggesting the specific treatment regimen should be considered in future DOSI studies. Additionally, DOSI may help to identify regimen-specific responses in a more personalized manner, potentially providing critical feedback necessary to implement adaptive changes to the treatment strategy.

Indexed as

Administration, MetronomicAntineoplastic AgentsBreast NeoplasmsFemaleHemodynamicsHumansMaximum Tolerated DoseMiddle AgedNeoadjuvant TherapyOptical ImagingSpectroscopy, Near-InfraredTreatment OutcomeAntineoplastic AgentsBreast cancerDiffuse opticsFlareMetronomicNeoadjuvant chemotherapyTreatment monitoring

Identifiers

PMID32169100
PMCPMC7071774
OpenAlexW3010976560

What OpenQuestion holds

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Registered trials

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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.