Evidence map›Paper›PMID 26013572›Full record

ArticleBreast cancer research : BCR2015

Macroscopic optical physiological parameters correlate with microscopic proliferation and vessel area breast cancer signatures.

So Hyun Chung, Michael D Feldman, Daniel Martinez, Helen Kim, Mary E Putt, David R Busch, Julia Tchou, Brian J Czerniecki, Mitchell D Schnall, Mark A Rosen and 3 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 28 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

13 authors at 4 institutions in 1 country.

So Hyun ChungDepartment of Physics and Astronomy, University of Pennsylvania, 209 S. 33rd St., Philadelphia, PA, 19104, USA. sochung@sas.upenn.edu.
Michael D FeldmanDepartment of Pathology and Laboratory Medicine, The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. Michael.Feldman2@uphs.upenn.edu.
Daniel MartinezPathology Core Laboratory, The Children's Hospital of Philadelphia, 3615 Civic Center Boulevard, Philadelphia, PA, 19104, USA. martinezd@email.chop.edu.
Helen KimDepartment of Physics and Astronomy, University of Pennsylvania, 209 S. 33rd St., Philadelphia, PA, 19104, USA. Helenkim@sas.upenn.edu.
Mary E PuttDepartment of Biostatistics and Epidemiology, University of Pennsylvania, 423 Guardian Drive, Philadelphia, PA, 19104, USA. mputt@mail.med.upenn.edu.
David R BuschDepartment of Physics and Astronomy, University of Pennsylvania, 209 S. 33rd St., Philadelphia, PA, 19104, USA. drbusch@physics.upenn.edu.
Julia TchouDepartment of Surgery, The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. Julia.Tchou@uphs.upenn.edu.
Brian J CzernieckiDepartment of Surgery, The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. Brian.Czerniecki@uphs.upenn.edu.
Mitchell D SchnallDepartment of Radiology, The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. mitchell.schnall@uphs.upenn.edu.
Mark A RosenDepartment of Radiology, The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. Mark.Rosen@uphs.upenn.edu.
Angela DeMicheleDepartment of Medicine, The Hospital of the University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, USA. dma@mail.med.upenn.edu.
Arjun G YodhDepartment of Physics and Astronomy, University of Pennsylvania, 209 S. 33rd St., Philadelphia, PA, 19104, USA. yodh@physics.upenn.edu.
Regine ChoeDepartment of Biomedical Engineering, University of Rochester, 209 Goergen Hall, P.O. Box 270168, Rochester, NY, 14627, USA. Regine_Choe@urmc.rochester.edu.
Hospital of the University of Pennsylvania · USUniversity of Pennsylvania · USChildren's Hospital of Philadelphia · USUniversity of Rochester · US

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI SHELLEY L BERGER · 1985 to 2026
$222.3M
Training in Molecular Therapeutics for Pediatric CardiologyT32HL007915 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI Robert J Levy, JOSEPH W ROSSANO · 1999 to 2026
$13.4M
Training and DisseminationP41EB015893 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI REDDY, RAVINDER · 2012 to 2019
$11.3M
Multi-Spectral Parallel-Plate Diffuse Optical Breast TomographyR01EB002109 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YODH, ARJUN G. · 2003 to 2012
$3.9M
FFT BASED IMAGES WITH DIFFUSING LIGHT WAVESR01CA075124 · NCI · UNIVERSITY OF PENNSYLVANIA · PI YODH, ARJUN G. · 1997 to 2002
$731k
In Vivo Cancer Therapy Monitoring with Diffuse Optical MethodsR00CA126187 · NCI · UNIVERSITY OF ROCHESTER · PI CHOE, REGINE · 2011 to 2013
$710k
In Vivo Cancer Therapy Monitoring with Diffuse Optical MethodsK99CA126187 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CHOE, REGINE · 2008 to 2009
$164k
NCI NIH HHS K99 CA126187NCI NIH HHS K99/R00-CA126187NCI NIH HHS P30 CA016520NCI NIH HHS R00 CA126187NCI NIH HHS R01-CA75124NHLBI NIH HHS T32 HL007915NIBIB NIH HHS P41 EB015893NIBIB NIH HHS P41-EB015893NIBIB NIH HHS R01 EB002109NIBIB NIH HHS R01-EB002109
6 · The paper itself

Abstract

introductionNon-invasive diffuse optical tomography (DOT) and diffuse correlation spectroscopy (DCS) can detect and characterize breast cancer and predict tumor responses to neoadjuvant chemotherapy, even in patients with radiographically dense breasts. However, the relationship between measured optical parameters and pathological biomarker information needs to be further studied to connect information from optics to traditional clinical cancer biology. Thus we investigate how optically measured physiological parameters in malignant tumors such as oxy-, deoxy-hemoglobin concentration, tissue blood oxygenation, and metabolic rate of oxygen correlate with microscopic histopathological biomarkers from the same malignant tumors, e.g., Ki67 proliferation markers, CD34 stained vasculature markers and nuclear morphology.

methodsIn this pilot study, we investigate correlations of macroscopic physiological parameters of malignant tumors measured by diffuse optical technologies with microscopic histopathological biomarkers of the same tumors, i.e., the Ki67 proliferation marker, the CD34 stained vascular properties marker, and nuclear morphology.

resultsThe tumor-to-normal relative ratio of Ki67-positive nuclei is positively correlated with DOT-measured relative tissue blood oxygen saturation (R = 0.89, p-value: 0.001), and lower tumor-to-normal deoxy-hemoglobin concentration is associated with higher expression level of Ki67 nuclei (p-value: 0.01). In a subset of the Ki67-negative group (defined by the 15 % threshold), an inverse correlation between Ki67 expression level and mammary metabolic rate of oxygen was observed (R = -0.95, p-value: 0.014). Further, CD34 stained mean-vessel-area in tumor is positively correlated with tumor-to-normal total-hemoglobin and oxy-hemoglobin concentration. Finally, we find that cell nuclei tend to have more elongated shapes in less oxygenated DOT-measured environments.

conclusionsCollectively, the pilot data are consistent with the notion that increased blood is supplied to breast cancers, and it also suggests that less conversion of oxy- to deoxy-hemoglobin occurs in more proliferative cancers. Overall, the observations corroborate expectations that macroscopic measurements of breast cancer physiology using DOT and DCS can reveal microscopic pathological properties of breast cancer and hold potential to complement pathological biomarker information.

Indexed as

Biomarkers, TumorNeovascularization, PathologicBreast NeoplasmsCell ProliferationFemaleHumansKi-67 AntigenMetabolomicsMicroscopy, FluorescenceOptical ImagingOxygen ConsumptionPilot ProjectsSpectrum AnalysisBiomarkers, TumorKi-67 Antigen

Identifiers

PMID26013572
PMCPMC4487833
OpenAlexW2133831254

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.