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2. 577P Impact of homologous recombination deficiency (HRD) on outcomes with intraperitoneal (IP) and intravenous (IV) chemotherapy in ovarian cancer: Analyses from the translational iPocc study (TriPocc)

Author

Wijaya, S.T., primary, Tan, T.Z., additional, Ngoi, N.Y.L., additional, Yabuno, A., additional, Takehara, K., additional, Nakazawa, H., additional, Hirasawa, T., additional, Fujiwara, H., additional, Yasuda, M., additional, Jan, Y-H., additional, Chen, S-J., additional, Huang, R.Y-J., additional, Fujiwara, K., additional, Hasegawa, K., additional, and Tan, D.S., additional

Published
2022
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4. List of Contributors

Author

Antonios, J.P., primary, Becher, O.J., additional, Berry-Candelario, J., additional, Bigner, D.D., additional, Carpenter, A.B., additional, Chandramohan, V., additional, Chang, A.L., additional, Choi, B.D., additional, Colwell, N.A., additional, Congdon, K.L., additional, Dey, M., additional, Everson, R.G., additional, Farber, S.H., additional, Fecci, P.E., additional, Flores, C., additional, Gabrusiewicz, K., additional, Gedeon, P., additional, Heimberger, A.B., additional, Hennika, T., additional, He, Y., additional, Huang, R.Y., additional, Johnson, L.A., additional, Khagi, S., additional, Komisarow, J.M., additional, Lesniak, M.S., additional, Liau, L.M., additional, Miska, J., additional, Mitchell, D., additional, Pastan, I.H., additional, Pirozzi, C.J., additional, Qiao, J., additional, Reardon, D.A., additional, Riccione, K.A., additional, Roth, P., additional, Sampson, J.H., additional, Sanchez-Perez, L., additional, Schaller, T.H., additional, Suryadevara, C.M., additional, Swartz, A.M., additional, Tucker, A.M., additional, Vlahovic, G., additional, Weller, M., additional, Wells, P.A., additional, and Yan, H., additional

Published
2017
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5. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author

Dareng, E.O., Tyrer, J.P., Barnes, D.R., Jones, M.R., Yang, X, Aben, K.K.H., Adank, M.A., Agata, S., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Aravantinos, G., Arun, B.K., Augustinsson, A., Balmaña, J., Bandera, E.V., Barkardottir, R.B., Barrowdale, D., Beckmann, M.W., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Bernardini, M.Q., Bjorge, L., Black, A., Bogdanova, N.V., Bonanni, B., Borg, A., Brenton, J.D., Budzilowska, A., Butzow, R., Buys, S.S., Cai, H., Caligo, M.A., Campbell, I., Cannioto, R., Cassingham, H., Chang-Claude, J., Chanock, S.J., Chen, K., Chiew, Y.E., Chung, W.K., Claes, K.B.M., Colonna, S., Cook, L.S., Couch, F.J., Daly, M.B., Dao, F., Davies, E., Hoya, M. de la, Putter, R. de, Dennis, J., DePersia, A., Devilee, P., Diez, O., Ding, Y.C., Doherty, J.A., Domchek, S.M., Dörk, T., Bois, A. du, Dürst, M., Eccles, D.M., Eliassen, H.A., Engel, C., Evans, G.D., Fasching, P.A., Flanagan, J.M., Fortner, R.T., Machackova, E., Friedman, E., Ganz, P.A., Garber, J., Gensini, F., Giles, G.G., Glendon, G., Godwin, A.K., Goodman, M.T., Greene, M.H., Gronwald, J., Hahnen, E., Haiman, C.A., Håkansson, N., Hamann, U., Hansen, T.V., Harris, H.R., Hartman, M, Heitz, F., Hildebrandt, M.A., Høgdall, E., Høgdall, C.K., Hopper, J.L., Huang, R.Y., Huff, C., Hulick, P.J., Huntsman, D.G., Imyanitov, E.N., Isaacs, C., Jakubowska, A., James, P.A., Kiemeney, L.A.L.M., Altena, A.M. van, Janavicius, R., Antoniou, A.C., Pharoah, P.D., Dareng, E.O., Tyrer, J.P., Barnes, D.R., Jones, M.R., Yang, X, Aben, K.K.H., Adank, M.A., Agata, S., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Aravantinos, G., Arun, B.K., Augustinsson, A., Balmaña, J., Bandera, E.V., Barkardottir, R.B., Barrowdale, D., Beckmann, M.W., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Bernardini, M.Q., Bjorge, L., Black, A., Bogdanova, N.V., Bonanni, B., Borg, A., Brenton, J.D., Budzilowska, A., Butzow, R., Buys, S.S., Cai, H., Caligo, M.A., Campbell, I., Cannioto, R., Cassingham, H., Chang-Claude, J., Chanock, S.J., Chen, K., Chiew, Y.E., Chung, W.K., Claes, K.B.M., Colonna, S., Cook, L.S., Couch, F.J., Daly, M.B., Dao, F., Davies, E., Hoya, M. de la, Putter, R. de, Dennis, J., DePersia, A., Devilee, P., Diez, O., Ding, Y.C., Doherty, J.A., Domchek, S.M., Dörk, T., Bois, A. du, Dürst, M., Eccles, D.M., Eliassen, H.A., Engel, C., Evans, G.D., Fasching, P.A., Flanagan, J.M., Fortner, R.T., Machackova, E., Friedman, E., Ganz, P.A., Garber, J., Gensini, F., Giles, G.G., Glendon, G., Godwin, A.K., Goodman, M.T., Greene, M.H., Gronwald, J., Hahnen, E., Haiman, C.A., Håkansson, N., Hamann, U., Hansen, T.V., Harris, H.R., Hartman, M, Heitz, F., Hildebrandt, M.A., Høgdall, E., Høgdall, C.K., Hopper, J.L., Huang, R.Y., Huff, C., Hulick, P.J., Huntsman, D.G., Imyanitov, E.N., Isaacs, C., Jakubowska, A., James, P.A., Kiemeney, L.A.L.M., Altena, A.M. van, Janavicius, R., Antoniou, A.C., and Pharoah, P.D.

Abstract

Item does not contain fulltext, Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.

Published
2022

8. 737P Phase II study of IV vinorelbine in relapsed platinum resistant or refractory C5 high grade serous primary peritoneal, fallopian tube or ovarian cancer (VIP)

Author

Ngoi, N.Y.L., primary, Tan, T.Z., additional, Kuay, K.T., additional, Tan, A.C.Y., additional, Lee, J.Y., additional, Pang, M.Y., additional, Tham, K.W., additional, Chan, J., additional, Wong, W.L., additional, Chay, W.Y., additional, Anne, D., additional, Friedlander, M., additional, Varma, S., additional, Meniawy, T., additional, Au-Yeung, G., additional, Scott, C., additional, Mileshkin, L., additional, Bowtell, D., additional, Huang, R.Y-J., additional, and Tan, D.S.P., additional

Published
2021
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9. Dairy foods, calcium, and risk of breast cancer overall and for subtypes defined by estrogen receptor status: a pooled analysis of 21 cohort studies

Author

Wu, Y., Huang, R.Y., Wang, M.L., Bernstein, L., Bethea, T.N., Chen, C., Chen, Y., Eliassen, A.H., Freedman, N.D., Gaudet, M.M., Gierach, G.L., Giles, G.G., Krogh, V., Larsson, S.C., Liao, L.M., McCullough, M.L., Miller, A.B., Milne, R.L., Monroe, K.R., Neuhouser, M.L., Palmer, J.R., Prizment, A., Reynolds, P., Robien, K., Rohan, T.E., Sandin, S., Sawada, N., Sieri, S., Sinha, R., Stolzenberg-Solomon, R.Z., Tsugane, S., van den Brandt, P.A., Visvanathan, K., Weiderpass, E., Wilkens, L.R., Willett, W.C., Wolk, A., Zeleniuch-Jacquotte, A., Ziegler, R.G., Smith-Warner, S.A., Wu, Y., Huang, R.Y., Wang, M.L., Bernstein, L., Bethea, T.N., Chen, C., Chen, Y., Eliassen, A.H., Freedman, N.D., Gaudet, M.M., Gierach, G.L., Giles, G.G., Krogh, V., Larsson, S.C., Liao, L.M., McCullough, M.L., Miller, A.B., Milne, R.L., Monroe, K.R., Neuhouser, M.L., Palmer, J.R., Prizment, A., Reynolds, P., Robien, K., Rohan, T.E., Sandin, S., Sawada, N., Sieri, S., Sinha, R., Stolzenberg-Solomon, R.Z., Tsugane, S., van den Brandt, P.A., Visvanathan, K., Weiderpass, E., Wilkens, L.R., Willett, W.C., Wolk, A., Zeleniuch-Jacquotte, A., Ziegler, R.G., and Smith-Warner, S.A.

Abstract

Background: Epidemiologic studies examining the relations between dairy product and calcium intakes and breast cancer have been inconclusive, especially for tumor subtypes.Objective: To evaluate the associations between intakes of specific dairy products and calcium and risk of breast cancer overall and for subtypes defined by estrogen receptor (ER) status.Method: We pooled the individual-level data of over 1 million women who were followed for a maximum of 8-20 years across studies. Associations were evaluated for dairy product and calcium intakes and risk of incident invasive breast cancer overall (n = 37,861 cases) and by subtypes defined by ER status. Study-specific multivariable hazard ratios (HRs) were estimated and then combined using random-effects models.Results: Overall, no clear association was observed between the consumption of specific dairy foods, dietary (from foods only) calcium, and total (from foods and supplements) calcium, and risk of overall breast cancer. Although each dairy product showed a null or very weak inverse association with risk of overall breast cancer (P, test for trend >0.05 for all), differences by ER status were suggested for yogurt and cottage/ricotta cheese with associations observed for ER-negative tumors only (pooled HR = 0.90, 95% CI: 0.83, 0.98 comparing >= 60 g/d with = 25 g/d withConclusion: Our study shows that adult dairy or calcium consumption is unlikely to associate with a higher risk of breast cancer and that higher yogurt and cottage/ricotta cheese intakes were inversely associated with the risk of ER-negative breast cancer, a less hormonally dependent subtype with poor prognosis. Future studies on fermented dairy products, earlier life exposures, ER-negative breast cancer, and different racial/ethnic populations may further elucidate the relation.

Published
2021

10. Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging

Author

Zhou, H., primary, Hu, R., additional, Tang, O., additional, Hu, C., additional, Tang, L., additional, Chang, K., additional, Shen, Q., additional, Wu, J., additional, Zou, B., additional, Xiao, B., additional, Boxerman, J., additional, Chen, W., additional, Huang, R.Y., additional, Yang, L., additional, Bai, H.X., additional, and Zhu, C., additional

Published
2020
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11. Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions

Author

Wen, P.Y. (Patrick), Weller, M. (Michael), Lee, E.Q. (Eudocia Q), Alexander, B.M., Barnholtz-Sloan, JS, Barthel, F.P., Batchelor, T.T. (Tracy), Bindra, R.S., Chang, S.M. (Susan), Chiocca, EA, Cloughesy, TF, DeGroot, J.F. (John F.), Galanis, E. (Evanthia), Gilbert, M.R. (Mark R.), Hegi, M.E. (Monika), Horbinski, C., Huang, R.Y., Lassman, A.B. (Andrew B.), Le Rhun, E, Lim, M, Mehta, M.P. (Minesh P.), Mellinghoff, I.K., Minniti, G., Nathanson, D., Platten, M. (Michael), Preusser, M. (Matthias), Roth, P. (Patrick), Sanson, M. (Marc), Schiff, D. (David), Short, S. C., Taphoorn, MJ, Tonn, J.C. (Jörg), Tsang, J., Verhaak, R.G.W. (Roel), Deimling, A. (Andreas) von, Wick, W. (Wolfgang), Zadeh, G., Reardon, D.A., Aldape, KD, Bent, M.J. (Martin) van den, Wen, P.Y. (Patrick), Weller, M. (Michael), Lee, E.Q. (Eudocia Q), Alexander, B.M., Barnholtz-Sloan, JS, Barthel, F.P., Batchelor, T.T. (Tracy), Bindra, R.S., Chang, S.M. (Susan), Chiocca, EA, Cloughesy, TF, DeGroot, J.F. (John F.), Galanis, E. (Evanthia), Gilbert, M.R. (Mark R.), Hegi, M.E. (Monika), Horbinski, C., Huang, R.Y., Lassman, A.B. (Andrew B.), Le Rhun, E, Lim, M, Mehta, M.P. (Minesh P.), Mellinghoff, I.K., Minniti, G., Nathanson, D., Platten, M. (Michael), Preusser, M. (Matthias), Roth, P. (Patrick), Sanson, M. (Marc), Schiff, D. (David), Short, S. C., Taphoorn, MJ, Tonn, J.C. (Jörg), Tsang, J., Verhaak, R.G.W. (Roel), Deimling, A. (Andreas) von, Wick, W. (Wolfgang), Zadeh, G., Reardon, D.A., Aldape, KD, and Bent, M.J. (Martin) van den

Abstract

Glioblastomas are the most common form of malignant primary brain tumor and an important cause of morbidity and mortality. In recent years there have been important advances in understanding the molecular pathogenesis and biology of these tumors, but this has not tr

Published
2020
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16. Predicting PD-L1 Expression using Radiomics in Oropharyngeal Cancer Patients Treated with Definitive Radiation

Author

Rahman, R., primary, Sridharan, V., additional, Hanna, G.J., additional, Chau, N., additional, Lorch, J., additional, Kass, J., additional, Annino, D., additional, Goguen, L., additional, Uppaluri, R., additional, Haddad, R.I., additional, Tishler, R.B., additional, Margalit, D.N., additional, Schoenfeld, J.D., additional, and Huang, R.Y., additional

Published
2018
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21. The Benefits of High Relaxivity for Brain Tumor Imaging: Results of a Multicenter Intraindividual Crossover Comparison of Gadobenate Dimeglumine with Gadoterate Meglumine (The BENEFIT Study)

Author

Vaneckova, M., primary, Herman, M., additional, Smith, M.P., additional, Mechl, M., additional, Maravilla, K.R., additional, Weichet, J., additional, Spampinato, M.V., additional, Žižka, J., additional, Wippold, F.J., additional, Baima, J.J., additional, Babbel, R., additional, Bültmann, E., additional, Huang, R.Y., additional, Buhk, J.-H., additional, Bonafé, A., additional, Colosimo, C., additional, Lui, S., additional, Kirchin, M.A., additional, Shen, N., additional, Pirovano, G., additional, and Spinazzi, A., additional

Published
2015
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22. Lithium associated with reduced risk of cancer in patients with bipolar disorder

Author

Huang, R.Y., Hsieh, K.P., and Huang, W.W.

Subjects
Glycogen synthesis -- Reports, Cancer prevention -- Reports, Cancer research -- Reports, Glycogen -- Reports, Bipolar disorder -- Risk factors -- Research -- Drug therapy -- Reports, Cancer patients -- Drug therapy -- Reports, Pharmaceuticals and cosmetics industries, Health, Psychology and mental health
Abstract

A new study suggests that lithium is associated with a reduced risk of cancer when compared with anticonvulsants in the treatment of bipolar disorder. The study found significant trends of [...]

Published
2016

42. CHEMISTRY OF OSTEOPOROSIS: ALTERATIONS OF BONE QUALITY IN OVARIECTOMIZED MONKEYS REVEALED BY SYNCHROTRON INFRARED MICROSPECTROSCOPY.

Author

Huang, R.Y. and Chance, M.R.

Subjects
*OSTEOPOROSIS, *LABORATORY monkeys, *SYNCHROTRONS, *KRA, *OVARIECTOMY, *BIOLOGY
Abstract

Reduced bone density is a well-known feature of osteoporosis, where the trabecular bone compartment is most affected. Yet, little is known about how the disease affects the chemical composition of bone and its impact on fracture risks. Using ovariectomized cynomolgus monkeys as a model for osteoporosis, we examined the chemical changes in both trabecular and cortical bone as a function of time after ovariectomy. In addition, the effects of nandrolone decanoate treatment were examined. Fluorochrome labels were used to identify regions of bone remodeled 1 year (calcein) and 2 years (alizarin complexone) after ovariectomy, and synchrotron infrared microspectroscopy was used to determine protein and mineral content, and composition in these particular regions of bone. Our results demonstrate that ovariectomy does not affect the average mineralization levels of cortical or trabecular bone. However, the rate of new bone mineralization after ovariectomy increases in cortical bone, whereas it remains unchanged in trabecular bone. Ovariectomy reduces the average carbonate accumulation in cortical bone. Although it does not affect the average trabecular bone accumulation, the rate at which carbonate accumulates in new trabecular bone is reduced after ovariectomy. The average collagen cross-linking of mature bone is not affected by ovariectomy, but it significantly increases in new trabecular bone and decreases in new cortical bone. Treatment of the ovariectomized monkeys with nandrolone decanoate, a drug that decreases bone resorption, reverses most of the chemical changes in the cortical bone to the level of the ovary-intact controls, but has little effect on the trabecular bone. [ABSTRACT FROM AUTHOR]

Published
2002

43. Molecular and translational advances in meningiomas

Author

Suppiah S., Nassiri F., Bi W. L., Dunn I. F., Hanemann C. O., Horbinski C. M., Hashizume R., James C. D., Mawrin C., Noushmehr H., Perry A., Sahm F., Sloan A., Von Deimling A., Wen P. Y., Aldape K., Zadeh G., Au K., Barnhartz-Sloan J., Brastianos P. K., Butowski N., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Griffith B., Herold-Mende C., Huang R. Y., James D., Jenkinson M. D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mansouri A., McDermott M., Munoz D., Ng H. -K., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N. O., Selman W., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J. C., Tsang D., Vogelbaum M. A., Deimling A. V., Walbert T., Westphal M., Workewych A. M., Suppiah S., Nassiri F., Bi W.L., Dunn I.F., Hanemann C.O., Horbinski C.M., Hashizume R., James C.D., Mawrin C., Noushmehr H., Perry A., Sahm F., Sloan A., Von Deimling A., Wen P.Y., Aldape K., Zadeh G., Au K., Barnhartz-Sloan J., Brastianos P.K., Butowski N., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Griffith B., Herold-Mende C., Huang R.Y., James D., Jenkinson M.D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mansouri A., McDermott M., Munoz D., Ng H.-K., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N.O., Selman W., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J.C., Tsang D., Vogelbaum M.A., Deimling A.V., Walbert T., Westphal M., and Workewych A.M.

Subjects
Cancer Research, Supplement Articles, Genomics, Intracranial Neoplasm, sporadic meningioma, Bioinformatics, World health, Translational Research, Biomedical, Meningioma, 03 medical and health sciences, biomolecular, 0302 clinical medicine, Meningeal Neoplasms, otorhinolaryngologic diseases, medicine, Recurrent disease, Humans, Meningeal Neoplasm, Molecular Targeted Therapy, xenograft, Stage (cooking), neoplasms, MENINGIOMA, business.industry, cell line, Prognosis, medicine.disease, Combined Modality Therapy, nervous system diseases, 3. Good health, Clinical trial, Oncology, 030220 oncology & carcinogenesis, Neurology (clinical), genetic, business, epigenetic, 030217 neurology & neurosurgery
Abstract

Meningiomas are the most common primary intracranial neoplasm. The current World Health Organization (WHO) classification categorizes meningiomas based on histopathological features, but emerging molecular data demonstrate the importance of genomic and epigenomic factors in the clinical behavior of these tumors. Treatment options for symptomatic meningiomas are limited to surgical resection where possible and adjuvant radiation therapy for tumors with concerning histopathological features or recurrent disease. At present, alternative adjuvant treatment options are not available in part due to limited historical biological analysis and clinical trial investigation on meningiomas. With advances in molecular and genomic techniques in the last decade, we have witnessed a surge of interest in understanding the genomic and epigenomic landscape of meningiomas. The field is now at the stage to adopt this molecular knowledge to refine meningioma classification and introduce molecular algorithms that can guide prediction and therapeutics for this tumor type. Animal models that recapitulate meningiomas faithfully are in critical need to test new therapeutics to facilitate rapid-cycle translation to clinical trials. Here we review the most up-to-date knowledge of molecular alterations that provide insight into meningioma behavior and are ready for application to clinical trial investigation, and highlight the landscape of available preclinical models in meningiomas.

Published
2019
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44. Life after surgical resection of a meningioma: a prospective cross-sectional study evaluating health-related quality of life

Author

Nassiri F., Price B., Shehab A., Au K., Cusimano M. D., Jenkinson M. D., Jungk C., Mansouri A., Santarius T., Suppiah S., Teng K. X., Toor G. S., Zadeh G., Walbert T., Drummond K. J., Aldape K., Barnhartz-Sloan J., Bi W. L., Brastianos P. K., Butowski N., Carlotti C., Dimeco F., Dunn I. F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C. O., Herold-Mende C., Horbinski C., Huang R. Y., James D., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H. -K., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Sahm F., Saladino A., Schichor C., Schultz D., Schmidt N. O., Selman W., Sloan A., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J. C., Tsang D., Vogelbaum M. A., Deimling A. V., Wen P. Y., Westphal M., Workewych A. M., Nassiri F., Price B., Shehab A., Au K., Cusimano M.D., Jenkinson M.D., Jungk C., Mansouri A., Santarius T., Suppiah S., Teng K.X., Toor G.S., Zadeh G., Walbert T., Drummond K.J., Aldape K., Barnhartz-Sloan J., Bi W.L., Brastianos P.K., Butowski N., Carlotti C., Dimeco F., Dunn I.F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C.O., Herold-Mende C., Horbinski C., Huang R.Y., James D., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H.-K., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Sahm F., Saladino A., Schichor C., Schultz D., Schmidt N.O., Selman W., Sloan A., Spears J., Snyder J., Tabatabai G., Tatagiba M., Tirapelli D., Tonn J.C., Tsang D., Vogelbaum M.A., Deimling A.V., Wen P.Y., Westphal M., and Workewych A.M.

Subjects
Male, cognition, Cancer Research, medicine.medical_specialty, Cross-sectional study, insomnia, Population, Neurosurgery, Supplement Articles, meningioma, surgery, Meningioma, 03 medical and health sciences, 0302 clinical medicine, Quality of life, Surveys and Questionnaires, Internal medicine, Meningeal Neoplasms, otorhinolaryngologic diseases, medicine, Humans, Longitudinal Studies, Prospective Studies, Prospective cohort study, education, education.field_of_study, business.industry, COGNIÇÃO, Cognition, Middle Aged, Prognosis, medicine.disease, humanities, 3. Good health, health-related quality of life, Cross-Sectional Studies, Oncology, 030220 oncology & carcinogenesis, Quality of Life, Female, fatigue, Neurology (clinical), business, 030217 neurology & neurosurgery, Follow-Up Studies, Cohort study
Abstract

Background Few studies have evaluated the health-related quality of life (HRQoL) of patients with meningiomas. Here, we report the largest prospective, longitudinal cross-sectional cohort study of HRQoL in meningiomas to date, in order to identify possible actionable determinants of global HRQoL. Methods Adults who had undergone resection of a grade I intracranial meningioma and were in routine follow-up at a single large tertiary center underwent HRQoL assessment using the QLQ-C30 questionnaire administered opportunistically at follow-up visits. Averaged transformed QLQ-C30 scores at 12-month intervals were compared with scores from a normative reference population, with reference to known minimal clinically meaningful difference (CMD) in scores. To evaluate for possible determinants of changes in global HRQoL, global HRQoL scores were correlated (Spearman's Rho) with subdomain and symptom scores and with interval time from surgical resection. Results A total of 291 postoperative patients with histologically confirmed and surgically treated grade I meningiomas consented to participation and a total of 455 questionnaires were included for analysis. Patients with meningiomas reported reduced global HRQoL at nearly every 12-month interval with clinically and statistically significant impairments at 12, 48, 108, and 120 months postoperative compared with the normative population (P < 0.05). Meningioma patients at the 12-month interval also reported a reduction of each subdomain of HRQoL assessment (P < 0.05); however, a CMD was only seen in cognitive functioning. Physical, emotional, cognitive, and social subdomains, as well as fatigue and sleep/insomnia, were significantly associated with global HRQoL at the first 12-month interval. Overall, there was no significant correlation between time from surgery and global HRQoL or the subdomain functional or symptom sections of the QLQ-C30. Conclusions Meningioma patients report considerable limitations in HRQoL for more than 120 months after surgery, particularly in cognitive, emotional, and social function, as well as suffering significant fatigue and sleep impairment compared with a normative reference population. The majority of these reported functional impairments and symptoms are strongly associated with global HRQoL and thus can be considered determinants of global HRQoL that if treated, have the potential to improve HRQoL for our meningioma patients. This hypothesis requires future study of targeted interventions to determine their efficacy.

Published
2019
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45. DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management

Author

Nassiri F., Mamatjan Y., Suppiah S., Badhiwala J. H., Mansouri S., Karimi S., Saarela O., Poisson L., Gepfner-Tuma I., Schittenhelm J., Ng H. -K., Noushmehr H., Harter P., Baumgarten P., Weller M., Preusser M., Herold-Mende C., Tatagiba M., Tabatabai G., Sahm F., Von Deimling A., Aldape K., Au K., Barnhartz-Sloan J., Bi W. L., Brastianos P. K., Butowski N., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Dunn I. F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C. O., Horbinski C., Huang R. Y., James D., Jenkinson M. D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Malta T. M., Mawrin C., McDermott M., Munoz D., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N. O., Selman W., Sloan A., Spears J., Snyder J., Tirapelli D., Tonn J. C., Tsang D., Vogelbaum M. A., Wen P. Y., Walbert T., Westphal M., Workewych A. M., Zadeh G., Aldape K. D., Nassiri F., Mamatjan Y., Suppiah S., Badhiwala J.H., Mansouri S., Karimi S., Saarela O., Poisson L., Gepfner-Tuma I., Schittenhelm J., Ng H.-K., Noushmehr H., Harter P., Baumgarten P., Weller M., Preusser M., Herold-Mende C., Tatagiba M., Tabatabai G., Sahm F., Von Deimling A., Aldape K., Au K., Barnhartz-Sloan J., Bi W.L., Brastianos P.K., Butowski N., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Dunn I.F., Galanis E., Giannini C., Goldbrunner R., Griffith B., Hashizume R., Hanemann C.O., Horbinski C., Huang R.Y., James D., Jenkinson M.D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Malta T.M., Mawrin C., McDermott M., Munoz D., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N.O., Selman W., Sloan A., Spears J., Snyder J., Tirapelli D., Tonn J.C., Tsang D., Vogelbaum M.A., Wen P.Y., Walbert T., Westphal M., Workewych A.M., Zadeh G., and Aldape K.D.

Subjects
Oncology, Cancer Research, medicine.medical_specialty, recurrence, predictor, ESTUDOS DE VALIDAÇÃO, Meningioma, nomogram, Internal medicine, medicine, Biomarkers, Tumor, Meningeal Neoplasms, Humans, Survival rate, Retrospective Studies, Oncotype DX Breast Cancer Assay, business.industry, Hazard ratio, Cancer, Disease Management, Retrospective cohort study, Nomogram, DNA Methylation, medicine.disease, Prognosis, Gene Expression Regulation, Neoplastic, Survival Rate, Clinical research, Basic and Translational Investigations, Neurology (clinical), methylation, Neoplasm Recurrence, Local, business, Follow-Up Studies
Abstract

Background Variability in standard-of-care classifications precludes accurate predictions of early tumor recurrence for individual patients with meningioma, limiting the appropriate selection of patients who would benefit from adjuvant radiotherapy to delay recurrence. We aimed to develop an individualized prediction model of early recurrence risk combining clinical and molecular factors in meningioma. Methods DNA methylation profiles of clinically annotated tumor samples across multiple institutions were used to develop a methylome model of 5-year recurrence-free survival (RFS). Subsequently, a 5-year meningioma recurrence score was generated using a nomogram that integrated the methylome model with established prognostic clinical factors. Performance of both models was evaluated and compared with standard-of-care models using multiple independent cohorts. Results The methylome-based predictor of 5-year RFS performed favorably compared with a grade-based predictor when tested using the 3 validation cohorts (ΔAUC = 0.10, 95% CI: 0.03–0.018) and was independently associated with RFS after adjusting for histopathologic grade, extent of resection, and burden of copy number alterations (hazard ratio 3.6, 95% CI: 1.8–7.2, P < 0.001). A nomogram combining the methylome predictor with clinical factors demonstrated greater discrimination than a nomogram using clinical factors alone in 2 independent validation cohorts (ΔAUC = 0.25, 95% CI: 0.22–0.27) and resulted in 2 groups with distinct recurrence patterns (hazard ratio 7.7, 95% CI: 5.3–11.1, P < 0.001) with clinical implications. Conclusions The models developed and validated in this study provide important prognostic information not captured by previously established clinical and molecular factors which could be used to individualize decisions regarding postoperative therapeutic interventions, in particular whether to treat patients with adjuvant radiotherapy versus observation alone.

Published
2019

46. Advances in multidisciplinary therapy for meningiomas

Author

Brastianos P. K., Galanis E., Butowski N., Chan J. W., Dunn I. F., Goldbrunner R., Herold-Mende C., Ippen F. M., Mawrin C., McDermott M. W., Sloan A., Snyder J., Tabatabai G., Tatagiba M., Tonn J. C., Wen P. Y., Aldape K., Nassiri F., Zadeh G., Jenkinson M. D., Raleigh D. R., Au K., Barnhartz-Sloan J., Bi W. L., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Giannini C., Griffith B., Hashizume R., Hanemann C. O., Horbinski C., Huang R. Y., James D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mansouri A., Munoz D., Noushmehr H., Ng H. -K., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N. O., Selman W., Spears J., Suppiah S., Tirapelli D., Tsang D., Vogelbaum M. A., Deimling A. V., Walbert T., Westphal M., Workewych A. M., Brastianos P.K., Galanis E., Butowski N., Chan J.W., Dunn I.F., Goldbrunner R., Herold-Mende C., Ippen F.M., Mawrin C., McDermott M.W., Sloan A., Snyder J., Tabatabai G., Tatagiba M., Tonn J.C., Wen P.Y., Aldape K., Nassiri F., Zadeh G., Jenkinson M.D., Raleigh D.R., Au K., Barnhartz-Sloan J., Bi W.L., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Giannini C., Griffith B., Hashizume R., Hanemann C.O., Horbinski C., Huang R.Y., James D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mansouri A., Munoz D., Noushmehr H., Ng H.-K., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Schmidt N.O., Selman W., Spears J., Suppiah S., Tirapelli D., Tsang D., Vogelbaum M.A., Deimling A.V., Walbert T., Westphal M., and Workewych A.M.

Subjects
Oncology, Cancer Research, medicine.medical_treatment, Supplement Articles, meningioma, Systemic therapy, surgery, 0302 clinical medicine, Meningeal Neoplasms, Trabectedin, Cancer, clinical trial, targeted therapy, Prognosis, Combined Modality Therapy, 3. Good health, 6.1 Pharmaceuticals, 030220 oncology & carcinogenesis, International Consortium on Meningiomas, Patient Safety, Meningioma, medicine.drug, medicine.medical_specialty, Oncology and Carcinogenesis, Antineoplastic Agents, Radiosurgery, 03 medical and health sciences, Internal medicine, medicine, otorhinolaryngologic diseases, Humans, Meningeal Neoplasm, Oncology & Carcinogenesis, neoplasms, business.industry, Neurosciences, Evaluation of treatments and therapeutic interventions, medicine.disease, RADIOTERAPIA, Brain Disorders, nervous system diseases, Clinical trial, Radiation therapy, radiation, Neurology (clinical), Cranial Irradiation, business, 030217 neurology & neurosurgery
Abstract

Surgery has long been established as the first-line treatment for the majority of symptomatic and enlarging meningiomas, and evidence for its success is derived from retrospective case series. Despite surgical resection, a subset of meningiomas display aggressive behavior with early recurrences that are difficult to treat. The decision to radically resect meningiomas and involved structures is balanced against the risk for neurological injury in patients. Radiation therapy has largely been used as a complementary and safe therapeutic strategy in meningiomas with evidence primarily stemming from retrospective, single-institution reports. Two of the first cooperative group studies (RTOG 0539 and EORTC 22042) evaluating the outcomes of adjuvant radiation therapy in higher-risk meningiomas have shown promising preliminary results. Historically, systemic therapy has resulted in disappointing results in meningiomas. However, several clinical trials are under way evaluating the efficacy of chemotherapies, such as trabectedin, and novel molecular agents targeting Smoothened, AKT1, and focal adhesion kinase in patients with recurrent meningiomas.

Published
2019

47. Imaging and diagnostic advances for intracranial meningiomas

Author

Huang R. Y., Bi W. L., Griffith B., Kaufmann T. J., La Fougere C., Schmidt N. O., Tonn J. C., Vogelbaum M. A., Wen P. Y., Aldape K., Nassiri F., Zadeh G., Dunn I. F., Au K., Barnhartz-Sloan J., Brastianos P. K., Butowski N., Carlotti C., Cusimano M. D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Hashizume R., Hanemann C. O., Herold-Mende C., Horbinski C., James D., Jenkinson M. D., Jungk C., Kaufman T. J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J. C., Mamatjan Y., Mansouri A., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H. -K., Perry A., Pirouzmand F., Poisson L. M., Pollo B., Raleigh D., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Selman W., Sloan A., Spears J., Snyder J., Suppiah S., Tabatabai G., Tatagiba M., Tirapelli D., Tsang D., Deimling A. V., Walbert T., Westphal M., Workewych A. M., Huang R.Y., Bi W.L., Griffith B., Kaufmann T.J., La Fougere C., Schmidt N.O., Tonn J.C., Vogelbaum M.A., Wen P.Y., Aldape K., Nassiri F., Zadeh G., Dunn I.F., Au K., Barnhartz-Sloan J., Brastianos P.K., Butowski N., Carlotti C., Cusimano M.D., Dimeco F., Drummond K., Galanis E., Giannini C., Goldbrunner R., Hashizume R., Hanemann C.O., Herold-Mende C., Horbinski C., James D., Jenkinson M.D., Jungk C., Kaufman T.J., Krischek B., Lachance D., Lafougere C., Lee I., Liu J.C., Mamatjan Y., Mansouri A., Mawrin C., McDermott M., Munoz D., Noushmehr H., Ng H.-K., Perry A., Pirouzmand F., Poisson L.M., Pollo B., Raleigh D., Sahm F., Saladino A., Santarius T., Schichor C., Schultz D., Selman W., Sloan A., Spears J., Snyder J., Suppiah S., Tabatabai G., Tatagiba M., Tirapelli D., Tsang D., Deimling A.V., Walbert T., Westphal M., and Workewych A.M.

Subjects
Cancer Research, medicine.medical_specialty, Neuroimaging, Supplement Articles, Multimodal Imaging, perfusion, Meningioma, 03 medical and health sciences, 0302 clinical medicine, Medical imaging, medicine, Meningeal Neoplasms, Humans, Meningeal Neoplasm, Radiation treatment planning, medicine.diagnostic_test, business.industry, imaging, Magnetic resonance imaging, medicine.disease, radiology, 3. Good health, Tumor detection, RADIOLOGIA, PET, Oncology, 030220 oncology & carcinogenesis, Radiological weapon, Neurology (clinical), Radiology, business, 030217 neurology & neurosurgery, CT, MRI
Abstract

The archetypal imaging characteristics of meningiomas are among the most stereotypic of all central nervous system (CNS) tumors. In the era of plain film and ventriculography, imaging was only performed if a mass was suspected, and their results were more suggestive than definitive. Following more than a century of technological development, we can now rely on imaging to non-invasively diagnose meningioma with great confidence and precisely delineate the locations of these tumors relative to their surrounding structures to inform treatment planning. Asymptomatic meningiomas may be identified and their growth monitored over time; moreover, imaging routinely serves as an essential tool to survey tumor burden at various stages during the course of treatment, thereby providing guidance on their effectiveness or the need for further intervention. Modern radiological techniques are expanding the power of imaging from tumor detection and monitoring to include extraction of biologic information from advanced analysis of radiological parameters. These contemporary approaches have led to promising attempts to predict tumor grade and, in turn, contribute prognostic data. In this supplement article, we review important current and future aspects of imaging in the diagnosis and management of meningioma, including conventional and advanced imaging techniques using CT, MRI, and nuclear medicine.

Published
2019

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