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• W2960202211 endingPage "1038" @default.
• W2960202211 startingPage "1038" @default.
• W2960202211 abstract "Small cell lung cancer (SCLC) is an aggressive neuroendocrine disease with an overall 5 year survival rate of ~7%. Although patients tend to respond initially to therapy, therapy-resistant disease inevitably emerges. Unfortunately, there are no validated biomarkers for early-stage SCLC to aid in early detection. Here, we used readouts of lesion image characteristics and cancer morphology that were based on fractal geometry, namely fractal dimension (FD) and lacunarity (LC), as novel biomarkers for SCLC. Scanned tumors of patients before treatment had a high FD and a low LC compared to post treatment, and this effect was reversed after treatment, suggesting that these measurements reflect the initial conditions of the tumor, its growth rate, and the condition of the lung. Fractal analysis of mitochondrial morphology showed that cisplatin-treated cells showed a discernibly decreased LC and an increased FD, as compared with control. However, treatment with mdivi-1, the small molecule that attenuates mitochondrial division, was associated with an increase in FD as compared with control. These data correlated well with the altered metabolic functions of the mitochondria in the diseased state, suggesting that morphological changes in the mitochondria predicate the tumor's future ability for mitogenesis and motogenesis, which was also observed on the CT scan images. Taken together, FD and LC present ideal tools to differentiate normal tissue from malignant SCLC tissue as a potential diagnostic biomarker for SCLC." @default.
• W2960202211 created "2019-07-23" @default.
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• W2960202211 date "2019-07-16" @default.
• W2960202211 modified "2023-10-16" @default.
• W2960202211 title "Small Cell Lung Cancer Therapeutic Responses Through Fractal Measurements: From Radiology to Mitochondrial Biology" @default.
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• W2960202211 cites W1575257462 @default.
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• W2960202211 cites W1943044106 @default.
• W2960202211 cites W1948434737 @default.
• W2960202211 cites W1969521573 @default.
• W2960202211 cites W1970922581 @default.
• W2960202211 cites W1972814550 @default.
• W2960202211 cites W1988672262 @default.
• W2960202211 cites W1988785687 @default.
• W2960202211 cites W1989151649 @default.
• W2960202211 cites W1996451449 @default.
• W2960202211 cites W2003379429 @default.
• W2960202211 cites W2011705378 @default.
• W2960202211 cites W2019481213 @default.
• W2960202211 cites W2026987057 @default.
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• W2960202211 cites W2032357029 @default.
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• W2960202211 cites W2050422776 @default.
• W2960202211 cites W2050887207 @default.
• W2960202211 cites W2057862974 @default.
• W2960202211 cites W2062407677 @default.
• W2960202211 cites W2072451938 @default.
• W2960202211 cites W2074633057 @default.
• W2960202211 cites W2102322990 @default.
• W2960202211 cites W2108904969 @default.
• W2960202211 cites W2113729748 @default.
• W2960202211 cites W2114175038 @default.
• W2960202211 cites W2114374668 @default.
• W2960202211 cites W2115470184 @default.
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• W2960202211 cites W2121917757 @default.
• W2960202211 cites W2122538591 @default.
• W2960202211 cites W2124102819 @default.
• W2960202211 cites W2130915594 @default.
• W2960202211 cites W2133059755 @default.
• W2960202211 cites W2136609081 @default.
• W2960202211 cites W2139507936 @default.
• W2960202211 cites W2141646243 @default.
• W2960202211 cites W2143688500 @default.
• W2960202211 cites W2152474505 @default.
• W2960202211 cites W2154240989 @default.
• W2960202211 cites W2158951378 @default.
• W2960202211 cites W2163007426 @default.
• W2960202211 cites W2165008256 @default.
• W2960202211 cites W2166488037 @default.
• W2960202211 cites W2173537718 @default.
• W2960202211 cites W2174358649 @default.
• W2960202211 cites W2206592217 @default.
• W2960202211 cites W2235523093 @default.
• W2960202211 cites W2253150690 @default.
• W2960202211 cites W2261720738 @default.
• W2960202211 cites W2278269182 @default.
• W2960202211 cites W2329936645 @default.
• W2960202211 cites W2335851379 @default.
• W2960202211 cites W2346121524 @default.
• W2960202211 cites W2346391109 @default.
• W2960202211 cites W2415485703 @default.
• W2960202211 cites W2586885021 @default.
• W2960202211 cites W2728472279 @default.
• W2960202211 cites W2765782352 @default.
• W2960202211 cites W2786019151 @default.
• W2960202211 cites W2804444057 @default.
• W2960202211 cites W2808024129 @default.
• W2960202211 cites W2885775409 @default.
• W2960202211 cites W2888878191 @default.
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• W2960202211 doi "https://doi.org/10.3390/jcm8071038" @default.
• W2960202211 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6679065" @default.
• W2960202211 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31315252" @default.
• W2960202211 hasPublicationYear "2019" @default.
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