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Published in: Breast Cancer Research 1/2015

Open Access 01-12-2015 | Research article

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

Authors: 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, Angela DeMichele, Arjun G. Yodh, Regine Choe

Published in: Breast Cancer Research | Issue 1/2015

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Abstract

Introduction

Non-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.

Methods

In 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.

Results

The 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.

Conclusions

Collectively, 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.
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Literature
1.
go back to reference Durduran T, Choe R, Baker WB, Yodh AG. Diffuse optics for tissue monitoring and tomography. Rep Prog Phys. 2010;73:1–43.CrossRef Durduran T, Choe R, Baker WB, Yodh AG. Diffuse optics for tissue monitoring and tomography. Rep Prog Phys. 2010;73:1–43.CrossRef
2.
go back to reference Leff DR, Warren OJ, Enfield LC, Gibson A, Athanasiou T, Patten DK, et al. Diffuse optical imaging of the healthy and diseased breast: A systematic review. Breast Cancer Res Treat. 2008;108:9–22.CrossRefPubMed Leff DR, Warren OJ, Enfield LC, Gibson A, Athanasiou T, Patten DK, et al. Diffuse optical imaging of the healthy and diseased breast: A systematic review. Breast Cancer Res Treat. 2008;108:9–22.CrossRefPubMed
3.
go back to reference Tromberg BJ, Pogue BW, Paulsen KD, Yodh AG, Boas DA, Cerussi AE. Assessing the future of diffuse optical imaging technologies for breast cancer management. Med Phys. 2008;35:2443–51.CrossRefPubMedPubMedCentral Tromberg BJ, Pogue BW, Paulsen KD, Yodh AG, Boas DA, Cerussi AE. Assessing the future of diffuse optical imaging technologies for breast cancer management. Med Phys. 2008;35:2443–51.CrossRefPubMedPubMedCentral
4.
go back to reference Carp SA, Selb J, Fang Q, Moore R, Kopans DB, Rafferty E, et al. Dynamic functional and mechanical response of breast tissue to compression. Opt Express. 2008;16:16064–78.CrossRefPubMedPubMedCentral Carp SA, Selb J, Fang Q, Moore R, Kopans DB, Rafferty E, et al. Dynamic functional and mechanical response of breast tissue to compression. Opt Express. 2008;16:16064–78.CrossRefPubMedPubMedCentral
5.
go back to reference Cerussi AE, Shah N, Hsiang D, Durkin A, Butler J, Tromberg BJ. In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy. J Biomed Opt. 2006;11:044005.CrossRefPubMed Cerussi AE, Shah N, Hsiang D, Durkin A, Butler J, Tromberg BJ. In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy. J Biomed Opt. 2006;11:044005.CrossRefPubMed
6.
go back to reference Choe R, Konecky SD, Corlu A, Lee K, Durduran T, Busch DR, et al. Differentiation of benign and malignant breast tumors by in-vivo three-dimensional parallel-plate diffuse optical tomography. J Biomed Opt. 2009;14:024020.CrossRefPubMedPubMedCentral Choe R, Konecky SD, Corlu A, Lee K, Durduran T, Busch DR, et al. Differentiation of benign and malignant breast tumors by in-vivo three-dimensional parallel-plate diffuse optical tomography. J Biomed Opt. 2009;14:024020.CrossRefPubMedPubMedCentral
7.
go back to reference Chung SH, Cerussi AE, Klifa C, Baek HM, Birgul O, Gulsen G, et al. In vivo water state measurements in breast cancer using broadband diffuse optical spectroscopy. Phys Med Biol. 2008;53:6713–27.CrossRefPubMedPubMedCentral Chung SH, Cerussi AE, Klifa C, Baek HM, Birgul O, Gulsen G, et al. In vivo water state measurements in breast cancer using broadband diffuse optical spectroscopy. Phys Med Biol. 2008;53:6713–27.CrossRefPubMedPubMedCentral
8.
go back to reference Pogue BW, Jiang S, Dehghani H, Kogel C, Soho S, Srinivasan S, et al. Characterization of hemoglobin, water, and NIR scattering in breast tissue: Analysis of intersubject variability and menstrual cycle changes. J Biomed Opt. 2004;9:541–52.CrossRefPubMed Pogue BW, Jiang S, Dehghani H, Kogel C, Soho S, Srinivasan S, et al. Characterization of hemoglobin, water, and NIR scattering in breast tissue: Analysis of intersubject variability and menstrual cycle changes. J Biomed Opt. 2004;9:541–52.CrossRefPubMed
9.
go back to reference Cerussi A, Hsiang D, Shah N, Mehta R, Durkin A, Butler J, et al. Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy. Proc Natl Acad Sci USA. 2007;104:4014–9.CrossRefPubMedPubMedCentral Cerussi A, Hsiang D, Shah N, Mehta R, Durkin A, Butler J, et al. Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy. Proc Natl Acad Sci USA. 2007;104:4014–9.CrossRefPubMedPubMedCentral
10.
go back to reference Chung SH, Cerussi A, Mehta R, Hsiang D, Tromberg B. Non-invasive detection and monitoring of tumor pathological grade during neoadjuvant chemotherapy by measuring tissue water state using diffuse optical spectroscopic imaging. Cancer Res. 2009;69:101S. Chung SH, Cerussi A, Mehta R, Hsiang D, Tromberg B. Non-invasive detection and monitoring of tumor pathological grade during neoadjuvant chemotherapy by measuring tissue water state using diffuse optical spectroscopic imaging. Cancer Res. 2009;69:101S.
11.
go back to reference Soliman H, Gunasekara A, Rycroft M, Zubovits J, Dent R, Spayne J, et al. Functional imaging using diffuse optical spectroscopy of neoadjuvant chemotherapy response in women with locally advanced breast cancer. Clin Cancer Res. 2010;16:2605–14.CrossRefPubMed Soliman H, Gunasekara A, Rycroft M, Zubovits J, Dent R, Spayne J, et al. Functional imaging using diffuse optical spectroscopy of neoadjuvant chemotherapy response in women with locally advanced breast cancer. Clin Cancer Res. 2010;16:2605–14.CrossRefPubMed
12.
go back to reference Tromberg BJ, Cerussi AE. Imaging Breast Cancer Chemotherapy Responses with Light, Commentary on Soliman et al., p. 2605. Clin Cancer Res. 2010;16:2486–8.CrossRefPubMedPubMedCentral Tromberg BJ, Cerussi AE. Imaging Breast Cancer Chemotherapy Responses with Light, Commentary on Soliman et al., p. 2605. Clin Cancer Res. 2010;16:2486–8.CrossRefPubMedPubMedCentral
13.
go back to reference Zhou C, Choe R, Shah N, Durduran T, Yu G, Durkin A, et al. Diffuse optical monitoring of blood flow and oxygenation in human breast cancer during early stages of neoadjuvant chemotherapy. J Biomed Opt. 2007;12:051903.CrossRefPubMed Zhou C, Choe R, Shah N, Durduran T, Yu G, Durkin A, et al. Diffuse optical monitoring of blood flow and oxygenation in human breast cancer during early stages of neoadjuvant chemotherapy. J Biomed Opt. 2007;12:051903.CrossRefPubMed
14.
go back to reference Zhu Q, Tannenbaum S, Hegde P, Kane M, Xu C, Kurtzman S. Noninvasive monitoring of breast cancer during neoadjuvant chemotherapy using optical tomography with ultrasound localization. Neoplasia. 2008;10:1028–40.CrossRefPubMedPubMedCentral Zhu Q, Tannenbaum S, Hegde P, Kane M, Xu C, Kurtzman S. Noninvasive monitoring of breast cancer during neoadjuvant chemotherapy using optical tomography with ultrasound localization. Neoplasia. 2008;10:1028–40.CrossRefPubMedPubMedCentral
15.
go back to reference Tromberg BJ, Cerussi AE, Chung SH, Tanamai W, Durkin A. Broadband Diffuse Optical Spectroscopic Imaging. In: Boas DA, Pitris C, Ramanujam N, editors. Handbook of Biomedical Optics. Florida, USA: CRC Press, Boca Raton; 2011. p. 181–94.CrossRef Tromberg BJ, Cerussi AE, Chung SH, Tanamai W, Durkin A. Broadband Diffuse Optical Spectroscopic Imaging. In: Boas DA, Pitris C, Ramanujam N, editors. Handbook of Biomedical Optics. Florida, USA: CRC Press, Boca Raton; 2011. p. 181–94.CrossRef
16.
go back to reference Choe R, Putt ME, Carlile PM, Durduran T, Giammarco JM, Busch DR, et al. Optically measured microvascular blood flow contrast of malignant breast tumors. Plos One. 2014;9. Choe R, Putt ME, Carlile PM, Durduran T, Giammarco JM, Busch DR, et al. Optically measured microvascular blood flow contrast of malignant breast tumors. Plos One. 2014;9.
17.
go back to reference Chung SH, Cerussi AE, Hsiang D, Tromberg BJ. Non-invasive measurement of pathological heterogeneity of cancer tissues using water state information from diffuse Optical Spectroscopic Imaging. Cancer Res. 2009;69:767S. Chung SH, Cerussi AE, Hsiang D, Tromberg BJ. Non-invasive measurement of pathological heterogeneity of cancer tissues using water state information from diffuse Optical Spectroscopic Imaging. Cancer Res. 2009;69:767S.
18.
go back to reference Chung SH, Cerussi AE, Merritt SI, Ruth J, Tromberg BJ. Non-invasive tissue temperature measurements based on quantitative diffuse optical spectroscopy (DOS) of water. Phys Med Biol. 2010;55:3753–65.CrossRefPubMedPubMedCentral Chung SH, Cerussi AE, Merritt SI, Ruth J, Tromberg BJ. Non-invasive tissue temperature measurements based on quantitative diffuse optical spectroscopy (DOS) of water. Phys Med Biol. 2010;55:3753–65.CrossRefPubMedPubMedCentral
19.
go back to reference Chung SH, Mehta R, Tromberg BJ, Yodh AG. Non-invasive measurement of deep tissue temperature changes caused by apoptosis during breast cancer neoadjuvant therapy: a case study. J Innov Opt Health Sci. 2011;4:361–72.CrossRefPubMedPubMedCentral Chung SH, Mehta R, Tromberg BJ, Yodh AG. Non-invasive measurement of deep tissue temperature changes caused by apoptosis during breast cancer neoadjuvant therapy: a case study. J Innov Opt Health Sci. 2011;4:361–72.CrossRefPubMedPubMedCentral
20.
go back to reference Taroni P, Pifferi A, Salvagnini E, Spinelli L, Torricelli A, Cubeddu R. Seven-wavelength time-resolved optical mammography extending beyond 1000 nm for breast collagen quantification. Opt Express. 2009;17:15932–46.CrossRefPubMed Taroni P, Pifferi A, Salvagnini E, Spinelli L, Torricelli A, Cubeddu R. Seven-wavelength time-resolved optical mammography extending beyond 1000 nm for breast collagen quantification. Opt Express. 2009;17:15932–46.CrossRefPubMed
21.
go back to reference Taroni P, Comelli D, Pifferi A, Torricelli A, Cubeddu R. Absorption of collagen: effects on the estimate of breast composition and related diagnostic implications. J Biomed Opt. 2007;12:014021.CrossRefPubMed Taroni P, Comelli D, Pifferi A, Torricelli A, Cubeddu R. Absorption of collagen: effects on the estimate of breast composition and related diagnostic implications. J Biomed Opt. 2007;12:014021.CrossRefPubMed
22.
go back to reference Kukreti S, Cerussi AE, Tanamai W, Hsiang D, Tromberg BJ, Gratton E. Characterization of metabolic differences between benign and malignant tumors: high-spectral-resolution diffuse optical spectroscopy. Radiology. 2010;254:277–84.CrossRefPubMed Kukreti S, Cerussi AE, Tanamai W, Hsiang D, Tromberg BJ, Gratton E. Characterization of metabolic differences between benign and malignant tumors: high-spectral-resolution diffuse optical spectroscopy. Radiology. 2010;254:277–84.CrossRefPubMed
23.
go back to reference Ntziachristos V, Yodh AG, Schnall MD, Chance B. MRI-guided diffuse optical spectroscopy of malignant and benign breast lesions. Neoplasia. 2002;4:347–54.CrossRefPubMedPubMedCentral Ntziachristos V, Yodh AG, Schnall MD, Chance B. MRI-guided diffuse optical spectroscopy of malignant and benign breast lesions. Neoplasia. 2002;4:347–54.CrossRefPubMedPubMedCentral
24.
go back to reference Zhu Q, Cronin EB, Currier AA, Vine HS, Huang MM, Chen NG, et al. Benign versus malignant breast masses: Optical differentiation with US-guided optical imaging reconstruction. Radiology. 2005;237:57–66.CrossRefPubMedPubMedCentral Zhu Q, Cronin EB, Currier AA, Vine HS, Huang MM, Chen NG, et al. Benign versus malignant breast masses: Optical differentiation with US-guided optical imaging reconstruction. Radiology. 2005;237:57–66.CrossRefPubMedPubMedCentral
25.
go back to reference Choe R, Corlu A, Lee K, Durduran T, Konecky SD, Grosicka-Koptyra M, et al. Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: A case study with comparison to MRI. Med Phys. 2005;32:1128–39.CrossRefPubMed Choe R, Corlu A, Lee K, Durduran T, Konecky SD, Grosicka-Koptyra M, et al. Diffuse optical tomography of breast cancer during neoadjuvant chemotherapy: A case study with comparison to MRI. Med Phys. 2005;32:1128–39.CrossRefPubMed
26.
go back to reference Busch DR, Choe R, Rosen MA, Guo WS, Durduran T, Feldman MD, et al. Optical malignancy parameters for monitoring progression of breast cancer neoadjuvant chemotherapy. Biomed Opt Express. 2013;4:105–21.CrossRefPubMed Busch DR, Choe R, Rosen MA, Guo WS, Durduran T, Feldman MD, et al. Optical malignancy parameters for monitoring progression of breast cancer neoadjuvant chemotherapy. Biomed Opt Express. 2013;4:105–21.CrossRefPubMed
27.
go back to reference Jiang SD, Pogue BW, Carpenter CM, Poplack SP, Wells WA, Kogel CA, et al. Evaluation of breast tumor response to neoadjuvant chemotherapy with tomographic diffuse optical spectroscopy: case studies of tumor region-of-interest changes. Radiology. 2009;252:551–60.CrossRefPubMedPubMedCentral Jiang SD, Pogue BW, Carpenter CM, Poplack SP, Wells WA, Kogel CA, et al. Evaluation of breast tumor response to neoadjuvant chemotherapy with tomographic diffuse optical spectroscopy: case studies of tumor region-of-interest changes. Radiology. 2009;252:551–60.CrossRefPubMedPubMedCentral
28.
go back to reference Roblyer D, Ueda S, Cerussi A, Tanamai W, Durkin A, Mehta R, et al. Optical imaging of breast cancer oxyhemoglobin flare correlates with neoadjuvant chemotherapy response one day after starting treatment. PNAS. 2011;108:14626–31.CrossRefPubMedPubMedCentral Roblyer D, Ueda S, Cerussi A, Tanamai W, Durkin A, Mehta R, et al. Optical imaging of breast cancer oxyhemoglobin flare correlates with neoadjuvant chemotherapy response one day after starting treatment. PNAS. 2011;108:14626–31.CrossRefPubMedPubMedCentral
29.
go back to reference Schaafsma BE, van de Giessen M, Charehbili A, Smit VTHBM, Kroep JR, Lelieveldt BPF, et al. Optical mammography using diffuse optical spectroscopy for monitoring tumor response to neoadjuvant chemotherapy in women with locally advanced breast cancer. Clin Cancer Res. 2015;21:577–84.CrossRefPubMed Schaafsma BE, van de Giessen M, Charehbili A, Smit VTHBM, Kroep JR, Lelieveldt BPF, et al. Optical mammography using diffuse optical spectroscopy for monitoring tumor response to neoadjuvant chemotherapy in women with locally advanced breast cancer. Clin Cancer Res. 2015;21:577–84.CrossRefPubMed
30.
go back to reference Ueda S, Roblyer D, Cerussi A, Durkin A, Leproux A, Santoro Y, et al. Baseline tumor oxygen saturation correlates with a pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy. Cancer Res. 2012;72:4318–28.CrossRefPubMedPubMedCentral Ueda S, Roblyer D, Cerussi A, Durkin A, Leproux A, Santoro Y, et al. Baseline tumor oxygen saturation correlates with a pathologic complete response in breast cancer patients undergoing neoadjuvant chemotherapy. Cancer Res. 2012;72:4318–28.CrossRefPubMedPubMedCentral
31.
go back to reference Faneyte IF, Schrama JG, Peterse JL, Remijnse PL, Rodenhuis S, van der Vijver MJ. Breast cancer response to neoadjuvant chemotherapy: predictive markers and relation with outcome. Br J Cancer. 2003;88:406–12.CrossRefPubMedPubMedCentral Faneyte IF, Schrama JG, Peterse JL, Remijnse PL, Rodenhuis S, van der Vijver MJ. Breast cancer response to neoadjuvant chemotherapy: predictive markers and relation with outcome. Br J Cancer. 2003;88:406–12.CrossRefPubMedPubMedCentral
32.
go back to reference Urruticoechea A, Smith IE, Dowsett M. Proliferation marker Ki-67 in early breast cancer. J Clin Oncol. 2005;23:7212–20.CrossRefPubMed Urruticoechea A, Smith IE, Dowsett M. Proliferation marker Ki-67 in early breast cancer. J Clin Oncol. 2005;23:7212–20.CrossRefPubMed
33.
go back to reference Heimann R, Ferguson D, Powers C, Recant WM, Weichselbaum RR, Hellman S. Angiogenesis as a predictor of long-term survival for patients with node-negative breast Cancer. J Natl Canc Inst. 1996;88:1764–9.CrossRef Heimann R, Ferguson D, Powers C, Recant WM, Weichselbaum RR, Hellman S. Angiogenesis as a predictor of long-term survival for patients with node-negative breast Cancer. J Natl Canc Inst. 1996;88:1764–9.CrossRef
34.
go back to reference Hajihashemi MR, Grobmyer SR, Al-Quran SZ, Jiang HB. Noninvasive Evaluation of Nuclear Morphometry in Breast Lesions Using Multispectral Diffuse Optical Tomography. Plos One. 2012;7:e45714.CrossRefPubMedPubMedCentral Hajihashemi MR, Grobmyer SR, Al-Quran SZ, Jiang HB. Noninvasive Evaluation of Nuclear Morphometry in Breast Lesions Using Multispectral Diffuse Optical Tomography. Plos One. 2012;7:e45714.CrossRefPubMedPubMedCentral
35.
go back to reference Li CQ, Grobmyer SR, Massol N, Liang XP, Zhang QZ, Chen L, et al. Noninvasive in vivo tomographic optical imaging of cellular morphology in the breast: Possible convergence of microscopic pathology and macroscopic radiology. Med Phys. 2008;35:2493–501.CrossRefPubMedPubMedCentral Li CQ, Grobmyer SR, Massol N, Liang XP, Zhang QZ, Chen L, et al. Noninvasive in vivo tomographic optical imaging of cellular morphology in the breast: Possible convergence of microscopic pathology and macroscopic radiology. Med Phys. 2008;35:2493–501.CrossRefPubMedPubMedCentral
36.
go back to reference Mourant JR, Johnson TM, Carpenter S, Guerra A, Aida T, Freyer JP. Polarized angular dependent spectroscopy of epithelial cells and epithelial cell nuclei to determine the size scale of scattering structures. J Biomed Opt. 2002;7:378–87.CrossRefPubMed Mourant JR, Johnson TM, Carpenter S, Guerra A, Aida T, Freyer JP. Polarized angular dependent spectroscopy of epithelial cells and epithelial cell nuclei to determine the size scale of scattering structures. J Biomed Opt. 2002;7:378–87.CrossRefPubMed
37.
go back to reference Pakalniskis MG, Wells WA, Schwab MC, Froehlich HM, Jiang SD, Li ZZ, et al. Tumor angiogenesis change estimated by using diffuse optical spectroscopic tomography: demonstrated correlation in women undergoing neoadjuvant chemotherapy for invasive breast cancer? Radiology. 2011;259:365–74.CrossRefPubMedPubMedCentral Pakalniskis MG, Wells WA, Schwab MC, Froehlich HM, Jiang SD, Li ZZ, et al. Tumor angiogenesis change estimated by using diffuse optical spectroscopic tomography: demonstrated correlation in women undergoing neoadjuvant chemotherapy for invasive breast cancer? Radiology. 2011;259:365–74.CrossRefPubMedPubMedCentral
38.
go back to reference Srinivasan S, Pogue BW, Brooksby B, Jiang S, Dehghani H, Kogel C, et al. Near-infrared characterization of breast tumors in vivo using spectrally-constrained reconstruction. Technol Cancer Res Treat. 2005;4:513–26.CrossRefPubMed Srinivasan S, Pogue BW, Brooksby B, Jiang S, Dehghani H, Kogel C, et al. Near-infrared characterization of breast tumors in vivo using spectrally-constrained reconstruction. Technol Cancer Res Treat. 2005;4:513–26.CrossRefPubMed
39.
go back to reference Zhu QN, Kurtzman SH, Hegde P, Tannenbaum S, Kane M, Huang MM, et al. Utilizing optical tomography with ultrasound localization to image heterogeneous hemoglobin distribution in large breast cancers. Neoplasia. 2005;7:263–70.CrossRefPubMedPubMedCentral Zhu QN, Kurtzman SH, Hegde P, Tannenbaum S, Kane M, Huang MM, et al. Utilizing optical tomography with ultrasound localization to image heterogeneous hemoglobin distribution in large breast cancers. Neoplasia. 2005;7:263–70.CrossRefPubMedPubMedCentral
40.
go back to reference Buck A, Schirrmeister H, Kuhn T, Shen CX, Kalker T, Kotzerke J, et al. FDG uptake in breast cancer: correlation with biological and clinical prognostic parameters. Eur J Nucl Med Mol Imaging. 2002;29:1317–23.CrossRefPubMed Buck A, Schirrmeister H, Kuhn T, Shen CX, Kalker T, Kotzerke J, et al. FDG uptake in breast cancer: correlation with biological and clinical prognostic parameters. Eur J Nucl Med Mol Imaging. 2002;29:1317–23.CrossRefPubMed
41.
go back to reference Cochet A, Pigeonnat S, Khoury B, Vrigneaud JM, Touzery C, Berriolo-Riedinger A, et al. Evaluation of breast tumor blood flow with dynamic first-pass F-18-FDG PET/CT: comparison with angiogenesis markers and prognostic factors. J Nucl Med. 2012;53:512–20.CrossRefPubMed Cochet A, Pigeonnat S, Khoury B, Vrigneaud JM, Touzery C, Berriolo-Riedinger A, et al. Evaluation of breast tumor blood flow with dynamic first-pass F-18-FDG PET/CT: comparison with angiogenesis markers and prognostic factors. J Nucl Med. 2012;53:512–20.CrossRefPubMed
42.
go back to reference Tchou J, Sonnad SS, Bergey MR, Basu S, Tomaszewski J, Alavi A, et al. Degree of tumor FDG uptake correlates with proliferation index in triple negative breast cancer. Mol Imaging Biol. 2010;12:657–62.CrossRefPubMed Tchou J, Sonnad SS, Bergey MR, Basu S, Tomaszewski J, Alavi A, et al. Degree of tumor FDG uptake correlates with proliferation index in triple negative breast cancer. Mol Imaging Biol. 2010;12:657–62.CrossRefPubMed
43.
go back to reference Cheng JY, Lei L, Xu JY, Sun YF, Zhang YP, Wang XC, et al. F-18-Fluoromisonidazole PET/CT: A potential tool for predicting primary endocrine therapy resistance in breast cancer. J Nucl Med. 2013;54:333–40.CrossRefPubMed Cheng JY, Lei L, Xu JY, Sun YF, Zhang YP, Wang XC, et al. F-18-Fluoromisonidazole PET/CT: A potential tool for predicting primary endocrine therapy resistance in breast cancer. J Nucl Med. 2013;54:333–40.CrossRefPubMed
44.
go back to reference Warburg O, Posener K, Negelein E. Ueber den Stoffwechsel der Tumoren. Biochem Z. 1924;152:319–44. German. Warburg O, Posener K, Negelein E. Ueber den Stoffwechsel der Tumoren. Biochem Z. 1924;152:319–44. German.
45.
go back to reference Culver JP, Durduran T, Furuya T, Cheung C, Greenberg JH, Yodh AG. Diffuse optical tomography of cerebral blood flow, oxygenation, and metabolism in rat during focal ischemia. J Cereb Blood Flow Metab. 2003;23:911–24.CrossRefPubMed Culver JP, Durduran T, Furuya T, Cheung C, Greenberg JH, Yodh AG. Diffuse optical tomography of cerebral blood flow, oxygenation, and metabolism in rat during focal ischemia. J Cereb Blood Flow Metab. 2003;23:911–24.CrossRefPubMed
46.
go back to reference Boas DA, Strangman G, Culver JP, Hoge RD, Jasdzewski G, Poldrack RA, et al. Can the cerebral metabolic rate of oxygen be estimated with near-infrared spectroscopy? Phys Med Biol. 2003;48:2405–18.CrossRefPubMed Boas DA, Strangman G, Culver JP, Hoge RD, Jasdzewski G, Poldrack RA, et al. Can the cerebral metabolic rate of oxygen be estimated with near-infrared spectroscopy? Phys Med Biol. 2003;48:2405–18.CrossRefPubMed
47.
go back to reference Durduran T, Yu GQ, Burnett MG, Detre JA, Greenberg JH, Wang JJ, et al. Diffuse optical measurement of blood flow, blood oxygenation, and metabolism in a human brain during sensorimotor cortex activation. Opt Lett. 2004;29:1766–8.CrossRefPubMed Durduran T, Yu GQ, Burnett MG, Detre JA, Greenberg JH, Wang JJ, et al. Diffuse optical measurement of blood flow, blood oxygenation, and metabolism in a human brain during sensorimotor cortex activation. Opt Lett. 2004;29:1766–8.CrossRefPubMed
48.
go back to reference Roche-Labarbe N, Surova A, Carp S, Patel M, Boas DA, Grant PE, et al. Non-invasive optical measures of Cbv, Sto2, Cbf Index, and Rcmro2 in premature brains during the first 6 weeks of life. Acta Paediatr. 2009;98:48. Roche-Labarbe N, Surova A, Carp S, Patel M, Boas DA, Grant PE, et al. Non-invasive optical measures of Cbv, Sto2, Cbf Index, and Rcmro2 in premature brains during the first 6 weeks of life. Acta Paediatr. 2009;98:48.
49.
go back to reference Kastrup A, Kruger G, Neumann-Haefelin T, Glover GH, Moseley ME. Changes of cerebral blood flow, oxygenation, and oxidative metabolism during graded motor activation. Neuroimage. 2002;15:74–82.CrossRefPubMed Kastrup A, Kruger G, Neumann-Haefelin T, Glover GH, Moseley ME. Changes of cerebral blood flow, oxygenation, and oxidative metabolism during graded motor activation. Neuroimage. 2002;15:74–82.CrossRefPubMed
50.
go back to reference Denkert C, Loibl S, Muller BM, Eidtmann H, Schmitt WD, Eiermann W, et al. Ki67 levels as predictive and prognostic parameters in pretherapeutic breast cancer core biopsies: a translational investigation in the neoadjuvant GeparTrio trial. Ann Oncol. 2013;24:2786–93.CrossRefPubMed Denkert C, Loibl S, Muller BM, Eidtmann H, Schmitt WD, Eiermann W, et al. Ki67 levels as predictive and prognostic parameters in pretherapeutic breast cancer core biopsies: a translational investigation in the neoadjuvant GeparTrio trial. Ann Oncol. 2013;24:2786–93.CrossRefPubMed
51.
go back to reference Goldhirsch A, Ingle JN, Gelber RD, Coates AS, Thurlimann B, Senn H-J, et al. Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2009. Ann Oncol. 2009;20:1319–29.CrossRefPubMedPubMedCentral Goldhirsch A, Ingle JN, Gelber RD, Coates AS, Thurlimann B, Senn H-J, et al. Thresholds for therapies: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2009. Ann Oncol. 2009;20:1319–29.CrossRefPubMedPubMedCentral
52.
go back to reference Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thurlimann B, Senn H-J, et al. Strategies for subtypes-dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol. 2011;22:1736–47.CrossRefPubMedPubMedCentral Goldhirsch A, Wood WC, Coates AS, Gelber RD, Thurlimann B, Senn H-J, et al. Strategies for subtypes-dealing with the diversity of breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011. Ann Oncol. 2011;22:1736–47.CrossRefPubMedPubMedCentral
53.
go back to reference Guarneri V, Piacentini F, Ficarra G, Frassoldati A, D’Amico R, Giovannelli S, et al. A prognostic model based on nodal staus and Ki-67 predicts the risk of recurrence and death in breast cancer patients with residual disease after preoperative chemotherpy. Ann Oncol. 2009;20:1193–8.CrossRefPubMed Guarneri V, Piacentini F, Ficarra G, Frassoldati A, D’Amico R, Giovannelli S, et al. A prognostic model based on nodal staus and Ki-67 predicts the risk of recurrence and death in breast cancer patients with residual disease after preoperative chemotherpy. Ann Oncol. 2009;20:1193–8.CrossRefPubMed
54.
go back to reference Scholzen T, Gerdes J. The Ki-67 protein: From the known and the unknown. J Cell Physiol. 2000;182:311–22.CrossRefPubMed Scholzen T, Gerdes J. The Ki-67 protein: From the known and the unknown. J Cell Physiol. 2000;182:311–22.CrossRefPubMed
55.
go back to reference Clahsen PC, van de Velde CJH, Duval C, Pallud C, Mandard AM, Delobelle-Deroide A, et al. The utility of mitotic index, oestrogen receptor and Ki-67 measurements in the creation of novel prognostic indices for node-negative breast cancer. Eur J Surg Oncol. 1999;25:356–63.CrossRefPubMed Clahsen PC, van de Velde CJH, Duval C, Pallud C, Mandard AM, Delobelle-Deroide A, et al. The utility of mitotic index, oestrogen receptor and Ki-67 measurements in the creation of novel prognostic indices for node-negative breast cancer. Eur J Surg Oncol. 1999;25:356–63.CrossRefPubMed
56.
go back to reference Molino A, Micciolo R, Turazza M, Bonetti F, Piubello Q, Bonetti A, et al. Ki-67 immunostaining in 322 primary breast cancers: Associations with clinical and pathological variables and prognosis. Int J Cancer. 1997;74:433–7.CrossRefPubMed Molino A, Micciolo R, Turazza M, Bonetti F, Piubello Q, Bonetti A, et al. Ki-67 immunostaining in 322 primary breast cancers: Associations with clinical and pathological variables and prognosis. Int J Cancer. 1997;74:433–7.CrossRefPubMed
57.
go back to reference Chang J, Ormerod M, Powles TJ, Allred DC, Ashley SE, Dowsett M. Apoptosis and proliferation as predictors of chemotherapy response in patients with breast carcinoma. Cancer. 2000;89:2145–52.CrossRefPubMed Chang J, Ormerod M, Powles TJ, Allred DC, Ashley SE, Dowsett M. Apoptosis and proliferation as predictors of chemotherapy response in patients with breast carcinoma. Cancer. 2000;89:2145–52.CrossRefPubMed
58.
go back to reference Petit T, Wilt M, Velten M, Millon R, Rodier JF, Borel C, et al. Comparative value of tumour grade, hormonal receptors, Ki-67, HER-2 and topoisomerase II alpha status as predictive markers in breast cancer patients treated with neoadjuvant anthracycline-based chemotherapy. Eur J Cancer. 2004;40:205–11.CrossRefPubMed Petit T, Wilt M, Velten M, Millon R, Rodier JF, Borel C, et al. Comparative value of tumour grade, hormonal receptors, Ki-67, HER-2 and topoisomerase II alpha status as predictive markers in breast cancer patients treated with neoadjuvant anthracycline-based chemotherapy. Eur J Cancer. 2004;40:205–11.CrossRefPubMed
59.
go back to reference Mohammed ZMA, McMillan DC, Elsberger B, Going JJ, Orange C, Mallon E, et al. Comparison of Visual and automated assessment of Ki-67 proliferative activity and their impact on outcome in primary operable invasive ductal breast cancer. Br J Cancer. 2012;106:383–8.CrossRefPubMedPubMedCentral Mohammed ZMA, McMillan DC, Elsberger B, Going JJ, Orange C, Mallon E, et al. Comparison of Visual and automated assessment of Ki-67 proliferative activity and their impact on outcome in primary operable invasive ductal breast cancer. Br J Cancer. 2012;106:383–8.CrossRefPubMedPubMedCentral
60.
go back to reference Konsti J, Lundin M, Joensuu H, Lehtimaki T, Sihto H, Holli K, et al. Development and evaluation of a virtual microscopy application for automated assessment of Ki-67 expression in breast cancer. BMC Clin Pathol. 2011;11:1–11.CrossRef Konsti J, Lundin M, Joensuu H, Lehtimaki T, Sihto H, Holli K, et al. Development and evaluation of a virtual microscopy application for automated assessment of Ki-67 expression in breast cancer. BMC Clin Pathol. 2011;11:1–11.CrossRef
61.
go back to reference Inwald EC, Klinkhammer-Schalke M, Hofstadter F, Zeman F, Koller M, Gerstenhauer M, et al. Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry. Breast Cancer Res Treat. 2013;139:539–52.CrossRefPubMedPubMedCentral Inwald EC, Klinkhammer-Schalke M, Hofstadter F, Zeman F, Koller M, Gerstenhauer M, et al. Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry. Breast Cancer Res Treat. 2013;139:539–52.CrossRefPubMedPubMedCentral
62.
go back to reference Harper-Wynne C, Ross G, Sacks N, Salter J, Nasiri N, Iqbal J, et al. Effects of the aromatase inhibitor letrozole on normal breast epithelial cell proliferation and metabolic indices in postmenopausal women: a pilot study for breast cancer prevention. Cancer Epidemiol Biomarkers Prev. 2002;11:614–21.PubMed Harper-Wynne C, Ross G, Sacks N, Salter J, Nasiri N, Iqbal J, et al. Effects of the aromatase inhibitor letrozole on normal breast epithelial cell proliferation and metabolic indices in postmenopausal women: a pilot study for breast cancer prevention. Cancer Epidemiol Biomarkers Prev. 2002;11:614–21.PubMed
63.
go back to reference Carke R, Howell A, Potten C, Anderson E. Dissociation between steroid receptor expression and cell proliferation in the human breast. Cancer Res. 1997;57:4987–91. Carke R, Howell A, Potten C, Anderson E. Dissociation between steroid receptor expression and cell proliferation in the human breast. Cancer Res. 1997;57:4987–91.
64.
go back to reference de Lima G, Facina G, Shida J, Chein M, Tanaka P, Dardes R, et al. Effects of low dose tamoxifen on normal breast tissue from premenopausal women. Eur J Cancer. 2003;39:891–8.CrossRefPubMed de Lima G, Facina G, Shida J, Chein M, Tanaka P, Dardes R, et al. Effects of low dose tamoxifen on normal breast tissue from premenopausal women. Eur J Cancer. 2003;39:891–8.CrossRefPubMed
65.
go back to reference Burcombe R, Wilson GD, Dowsett M, Khan I, Richman PI, Daley F, et al. Evaluation of Ki-67 proliferation and apoptotic index before, during and after neoadjuvant chemotherapy for primary breast cancer. Breast Canc Res. 2006;8:R31.CrossRef Burcombe R, Wilson GD, Dowsett M, Khan I, Richman PI, Daley F, et al. Evaluation of Ki-67 proliferation and apoptotic index before, during and after neoadjuvant chemotherapy for primary breast cancer. Breast Canc Res. 2006;8:R31.CrossRef
66.
go back to reference Lipponen P. Apoptosis in breast cancer: relationship with other pathological parameters. Endocr-Relat Cancer. 1999;6:13–6.CrossRefPubMed Lipponen P. Apoptosis in breast cancer: relationship with other pathological parameters. Endocr-Relat Cancer. 1999;6:13–6.CrossRefPubMed
67.
go back to reference Heiden MGV, Cantley LC, Thompson CB. Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science. 2009;324:1029–33.CrossRef Heiden MGV, Cantley LC, Thompson CB. Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science. 2009;324:1029–33.CrossRef
68.
go back to reference Lopez-Lazaro M. The Warburg effect: why and how do cancer cells activate glycolysis in the presence of oxygen? Anticancer Agents Med Chem. 2008;8:305–12.CrossRefPubMed Lopez-Lazaro M. The Warburg effect: why and how do cancer cells activate glycolysis in the presence of oxygen? Anticancer Agents Med Chem. 2008;8:305–12.CrossRefPubMed
70.
go back to reference Khan QJ, Kimler BF, O’Dea AP, Zalles CM, Sharma P, Fabian CJ. Mammographic density does not correlate with Ki-67 expression or cytomorphology in benign breast cells obtained by random periareolar fine needle aspiration from women at high risk for breast cancer. Breast Canc Res. 2007;9:R35.CrossRef Khan QJ, Kimler BF, O’Dea AP, Zalles CM, Sharma P, Fabian CJ. Mammographic density does not correlate with Ki-67 expression or cytomorphology in benign breast cells obtained by random periareolar fine needle aspiration from women at high risk for breast cancer. Breast Canc Res. 2007;9:R35.CrossRef
71.
go back to reference Fina L, Molgaard HV, Robertson D, Bradley NJ, Monaghan P, Delia D, et al. Expression of the Cd34 Gene in Vascular Endothelial-Cells. Blood. 1990;75:2417–26.PubMed Fina L, Molgaard HV, Robertson D, Bradley NJ, Monaghan P, Delia D, et al. Expression of the Cd34 Gene in Vascular Endothelial-Cells. Blood. 1990;75:2417–26.PubMed
72.
go back to reference Martin L, Green B, Renshaw C, Lowe D, Rudland P, Leinster SJ, et al. Examining the technique of angiogenesis assessment in invasive breast cancer. Br J Cancer. 1997;76:1046–54.CrossRefPubMedPubMedCentral Martin L, Green B, Renshaw C, Lowe D, Rudland P, Leinster SJ, et al. Examining the technique of angiogenesis assessment in invasive breast cancer. Br J Cancer. 1997;76:1046–54.CrossRefPubMedPubMedCentral
73.
Metadata
Title
Macroscopic optical physiological parameters correlate with microscopic proliferation and vessel area breast cancer signatures
Authors
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
Angela DeMichele
Arjun G. Yodh
Regine Choe
Publication date
01-12-2015
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 1/2015
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/s13058-015-0578-z

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