Detailed Characterization of the Early Response of Head-Neck Cancer Xenografts to Irradiation Using 18F-FDG-PET Imaging

Huang, Jiayi; Chunta, John L.; Amin, Mitual; Lee, David Y.; Grills, I.S.; Wong, Ching Yee Oliver; Yan, Di; Marples, Brian; Martínez, Álvaro; Wilson, George D.

doi:10.1016/j.ijrobp.2011.11.053

Cited by 14 publications

(18 citation statements)

References 11 publications

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“…Possible evidence of radiation damage to the tumor is demonstrated in Figure 6 due to increased fibrosis, vacuolization and increased number of apoptotic bodies. These effects are similar to results found in previous studies using 90 Y radiotherapy [30, 31]. Further analysis was performed by comparing the differences in the amounts of necrotic tissue in the treated tumors versus non-treated tumors shown in Figure 7.…”

Section: Resultssupporting

confidence: 84%

Gold nanorod-mediated hyperthermia enhances the efficacy of HPMA copolymer-90Y conjugates in treatment of prostate tumors

Buckway

Frazier

Gormley

et al. 2014

Nuclear Medicine and Biology

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Introduction-The treatment of prostate cancer using a radiotherapeutic 90 Y labeled N-(2-hydroxypropyl)methacrylamide (HPMA)copolymer can be enhanced with localized tumor hyperthermia. An 111 In labeled HPMA copolymer system for single photon emission computerized tomography (SPECT) was developed to observe the biodistribution changes associated with hyperthermia. Efficacy studies were conducted in prostate tumor bearing mice using the 90 Y HPMA copolymer with hyperthermia.

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Section: Resultssupporting

confidence: 84%

Gold nanorod-mediated hyperthermia enhances the efficacy of HPMA copolymer-90Y conjugates in treatment of prostate tumors

Buckway

Frazier

Gormley

et al. 2014

Nuclear Medicine and Biology

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“…The untreated UT-SCC-14 xenografts had a volume doubling time of 4.8 ± 0.7 days whilst the irradiated tumors showed a period of profound growth arrest until day 12 after which they transitioned into repopulation. In a different aspect of this present study, we showed that early radiation necrosis (days 4–12) was characterized by central coagulative necrosis with pyknotic nuclei whilst late radiation necrosis (day 12 onwards) was characterized additionally by extensive necrosis with fragmentation and dystrophic calcifications [ 17 ]. The histological studies demonstrated that repopulation of the tumor occurred from the peripheral region, and this was the reason why immunohistochemical and gene expression analysis was restricted to only this region in the control and treated animals by the use of laser capture microdissection.…”

Section: Resultsmentioning

confidence: 99%

“…Laser capture microdissection was used to isolate cells from the peripheral regions of the tumor based on our previous observation of central necrosis after radiation treatment [ 17 ]. Frozen tissue samples were embedded in OCT (Tissue-Tek; Sakura Finetek, USA) and 8 µ m sections were cut and mounted onto PEN (polyethylene naphthalate) membrane glass slides (two sections per slide).…”

Section: Methodsmentioning

confidence: 99%

Cancer Stem Cell Signaling during Repopulation in Head and Neck Cancer

Wilson

Thibodeau

Fortier

et al. 2016

Stem Cells International

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The aim of the study was to investigate cancer stem signaling during the repopulation response of a head and neck squamous cell cancer (HNSCC) xenograft after radiation treatment. Xenografts were generated from low passage HNSCC cells and were treated with either sham radiation or 15 Gy in one fraction. At different time points, days 0, 3, and 10 for controls and days 4, 7, 12, and 21, after irradiation, 3 tumors per group were harvested for global gene expression, pathway analysis, and immunohistochemical evaluation. 316 genes were identified that were associated with a series of stem cell-related genes and were differentially expressed (p ≤ 0.01 and 1.5-fold) at a minimum of one time point in UT-SCC-14 xenografts after radiation. The largest network of genes that showed significant changes after irradiation was associated with CD44, NOTCH1, and MET. c-MET and ALDH1A3 staining correlated with the changes in gene expression. A clear pattern emerged that was consistent with the growth inhibition data in that genes associated with stem cell pathways were most active at day 7 and day 12 after irradiation. The MET/CD44 axis seemed to be an important component of the repopulation response.

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“…In addition, estimation of the natural growth rate of untreated tumour needs at least two tumour volume estimations prior to therapy, e.g., V d and V i . Furthermore, natural tumour growth rate is correlated with kinetic index [12] and patient survival [13,14] and is also valuable for evaluating therapeutic efficacy [1,2,6,[15][16][17][18][19][20][21]. Due to limited availability of diagnostic imaging, an examination close to treatment initiation is in general not possible, and indirect methods for estimation of V i must therefore be developed using, e.g., mathematical models.…”

Section: Discussionmentioning

confidence: 99%

Estimation of tumour volume at therapy initiation by back-extrapolating the post-therapy regression curve of tumour volume

Mehrara

Forssell-Aronsson

2018

Appl Cancer Res

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Background: Tumour volume at therapy initiation, V i , is rarely available in cancer patients, and the last pre-treatment tumour volume available is from previous diagnostic imaging (V d ). Therapeutic efficacy is thus evaluated by comparing tumour volume after treatment with V d , instead of V i , which results in underestimation of treatment efficacy. V i , together with V d , can also be used for estimation of the natural growth rate of tumour valuable for, e.g., screening programs, prognostication and individualised treatment planning such as chemotherapy scheduling. The aim of this work was to study the feasibility of estimating V i by back-extrapolating the post-therapy regression of tumour volume, based on data from animal model. Methods: Nude mice bearing human neuroendocrine GOT1 tumour cell line were treated with 177 Lu-DOTA-TATE. Tumour volumes were measured regularly after therapy and V i was estimated by back-extrapolation of (a) linear and (b) exponential regression lines of the two earliest post-therapy tumour volumes and (c) the long-term exponential regression of tumour volume. The estimated V i values (V est ) were compared with the measured volume of tumour at therapy initiation. Results: The linear regression of the two earliest post-therapy tumour volumes gave the best estimate for V i (V est = 0.91 V i , p < 0.00001), compared with the exponential regression models either on short-term (V est = 2.30 V i , p < 0.01), or long-term (V est = 0.93 V i , non-significant) follow up of tumour volume after therapy. Conclusion: Back-extrapolation of the early linear regression of tumour volume after therapy gave the best estimate for tumour volume at time of therapy initiation. This estimate can be used as baseline for treatment efficacy evaluation or for estimation of the natural growth rate of tumour (together with the measured tumour volume at pre-treatment diagnostic imaging).

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Detailed Characterization of the Early Response of Head-Neck Cancer Xenografts to Irradiation Using 18F-FDG-PET Imaging

Cited by 14 publications

References 11 publications

Gold nanorod-mediated hyperthermia enhances the efficacy of HPMA copolymer-90Y conjugates in treatment of prostate tumors

Gold nanorod-mediated hyperthermia enhances the efficacy of HPMA copolymer-90Y conjugates in treatment of prostate tumors

Cancer Stem Cell Signaling during Repopulation in Head and Neck Cancer

Estimation of tumour volume at therapy initiation by back-extrapolating the post-therapy regression curve of tumour volume

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