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225 citation(s) found for "Chien, Jo".

Abstract GS3-08: Pathological complete response predicts event-free and distant disease-free survival in the I-SPY2 TRIAL
DeMichele, A., Symmans, F., Albain, KS, Hylton, NM, Forero‐Torres, Andres , Veer, LJ van't, Perlmutter, Jane , Rugo, HS, Melisko, Michelle , Krings, Gregor , Datnow, Brian, Hasteh, Farnaz, Tipps, Ann , Weidner, Noel, Tickman, Ronald, Thornton, Steven , Amin, K M, Chen, B, Keeney, Gary L., Ocal, Tolgay I., Klipfel, Nancy, Sattar, Husain, Mueller, Jeffery, Gwin, K, Zeck, Jay , Duan, Xiuzhen, Erşahin, Çağatay, Gamez, R, Troxell, Megan L. , Mansoor, Adnan , LeBeau, Lauren, Sams, Sharon B. , Wisell, J. , Wei, Shi , Vinh, Tuyethoa N., Stamatakos, MD, Tawfik, Ossama , Rendi, Mara H. , Minton, S., Magliocco, Anthony M., Sahoo, Sunati , Fang, Y, Singhrao, Ruby , Asare, SM, Wallace, AM, Chien, AJ, Ellis, ED, Han, HS, Clark, AS, Boughey, JC , Elias, AD, Nanda, Rita , Korde, Larissa A. , Northfelt, Donald W. , Edmiston, KK, Viscusi, Rebecca K., Haley, Barbara , Kemmer, Kathleen, Zelnak, Amelia, Berry, DA, Esserman, L., Yee, Douglas , Isaacs, Claudine , Yau, Christina , Chen, Yung‐Yi , Balassanian, Ronald , Zhang, Hongtao , Thornton, S, Ritter, Jacob , Klein, Martin , Feldman, Michael D. , Baker, Gabrielle M. , Kallakury, Bhaskar , Harada, Shuko , Fan, F, Adams, Amy Louise , Fang, Y, Hirst, Gillian L. , Murthy, Ravi , Lang, Julie E. , Khan, Qamar J.

Mayo Clinic

Cancer Research | February 15, 2018 | Volume: 78 | Issue: 4_Supplement | Pages: GS3-08-GS3-08

10.1158/1538-7445.sabcs17-gs3-08 Get It

Abstract Background: Pathological complete response (pCR) is accepted by FDA as a surrogate endpoint for accelerated approval of targeted agents in combination with chemotherapy based on better long-term outcomes compared to residual disease (Cortazar 2014). Methods: The multi-center, adaptively-randomized I-SPY2 platform trial uses pCR as the primary endpoint to identify investigational agents that will improve outcomes in women with stage 2/3 breast cancer with high risk of early recurrence, across all signatures, based on hormone receptor (HR), HER2, and 70-gene (MammaPrint) status. For patients with HR+ HER2- tumors, only 70-gene (Mammaprint) high-risk patients are enrolled. To date, 1200+ patients have been randomized to one of 14 arms: control (paclitaxel followed by AC); veliparib/carboplatin; neratinib; MK2206; trebananib; trastuzumab/pertuzumab; ado-trastuzumab emtansine/pertuzumab; pembrolizumabx4; ganitumab/metformin; ganetespib; PLX-3397. 7 agents graduated in at least one signature (> 85% probability of success in a 300-patient phase III confirmatory trial); 2 did not graduate; 1 stopped for toxicity, and 3 are enrolling (patritumab/trastuzumab, talazoparib/irinotecan, pembrolizumabx8). Local pathologists were centrally trained using the Residual Cancer Burden (RCB) assessment to ensure uniform evaluation and response classification; RCB 0 = pCR. Results: We evaluated the relationship between pCR and event free (EFS) and distant disease free survival (DDFS) in the first 522 pts (median follow-up:2.5 years). 180 pts achieved pCR (36%) while 338 did not (RCB=1-3). There were 82 EFS and 65 DRFS events. Over the entire group (including all arms), pCR was highly associated with 3-year EFS (p<0.001 for both). Pts achieving pCR had a 3% recurrence risk (RR) at 3 years; those with non-pCR had 24% RR over this time period. For distant recurrence, the 3-year RR with pCR was 2%, compared to 20% in pts with non-pCR. As expected, pCR rates varied by breast cancer subtype (HR+/HER2: 18% (35/196), HR+/HER2+: 40% (33/82), HR-/HER2+:68% (34/50), HR-/HER2-:41% (76/188)). The relationship between pCR and EFS was significant and clinically impactful within each subtype. 3-year survival (pCR group)Hazard Ratio OverallOverallHR+/HER2-HER2+TNBCEFS97%0.08 (0.03-0.23)0.14 (0.02-1.04)0 (NA)0.11 (0.03-0.37)DDFS98%0.08 (0.03-0.26)0.17 (0.01-1.23)0 (NA)0.09 (0.02-0.40) Conclusions: The first long-term efficacy results from the I-SPY2 TRIAL demonstrate that achieving pCR is a very strong surrogate endpoint for improved EFS and DDFS in a high-risk population, across all treatment arms, regardless of subtype. I-SPY2 shows substantially lower estimated EFS hazards for patients achieving pCR, compared to the 5 yr EFS hazard ratio for pCR vs not in Cortazar (hazard ratio 0.49), demonstrating important differences between a metaanalysis compared to a platform trial with uniform high-risk eligibility, standardized pathology assessment, and multiple targeted therapies. Our data support the use of pCR as a primary endpoint for accelerated approval of new drugs if EFS is evaluated in the same population. Based on these findings, the I-SPY2 TRIAL will test whether therapy can be deescalated or escalated for individual patients with the goal of achieving pCR for all. Citation Format: Yee D, DeMichele A, Isaacs C, Symmans F, Yau C, Albain KS, Hylton NM, Forero-Torres A, van't Veer LJ, Perlmutter J, Rugo HS, Melisko M, Chen Y-Y, Balassanian R, Krings G, Datnow B, Hasteh F, Tipps A, Weidner N, Zhang H, Tickman R, Thornton S, Ritter J, Amin K, Klein M, Chen B, Keeney G, Ocal T, Feldman M, Klipfel N, Sattar H, Mueller J, Gwin K, Baker G, Kallakury B, Zeck J, Duan X, Ersahin C, Gamez R, Troxell M, Mansoor A, Grasso LeBeau L, Sams S, Wisell J, Wei S, Harada S, Vinh T, Stamatakos MD, Tawfik O, Fan F, Adams A, Rendi M, Minton S, Magliocco A, Sahoo S, Fang Y, Hirst G, Singhrao R, Asare SM, Wallace AM, Chien AJ, Ellis ED, Han HS, Clark AS, Boughey JC, Elias AD, Nanda R, Korde L, Murthy R, Lang J, Northfelt D, Khan Q, Edmiston KK, Viscusi R, Haley B, Kemmer K, Zelnak A, Berry DA, Esserman LJ. Pathological complete response predicts event-free and distant disease-free survival in the I-SPY2 TRIAL [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr GS3-08.
Cytokeratin-8 in Anaplastic Thyroid Carcinoma: More Than a Simple Structural Cytoskeletal Protein
Guo, Dehuang, Xu, Qinqin , Pabla, Sarabjot , Koomen, John M. , Biddinger, Paul D. , Sharma, Ashok , Pabla, Simarjot, Pacholczyk, Rafał , Chang, Chien‐Chung , Friedrich, Kevin, Mohammed, Kamran, Smallridge, Robert C., Copland, John A. , She, Jin-Xiong, Koomen, John , Weinberger, Paul

Mayo Clinic

International Journal of Molecular Sciences | February 14, 2018 | Volume: 19 | Issue: 2 | Pages: 577

10.3390/ijms19020577 | PMID 29443941 Get It

Anaplastic thyroid carcinoma (ATC) is almost universally fatal. Elevated keratin-8 (KRT8) protein expression is an established diagnostic cancer biomarker in several epithelial cancers (but not ATC). Several keratins, including KRT8, have been suggested to have a role in cell biology beyond that of structural cytoskeletal proteins. Here, we provide evidence that KRT8 plays a direct role in the growth of ATCs. Genomic and transcriptomic analysis of >5000 patients demonstrates that KRT8 mutation and copy number amplification are frequently evident in epithelial-derived cancers. Carcinomas arising from diverse tissues exhibit KRT8 mRNA and protein overexpression when compared to normal tissue levels. Similarly, in a panel of patient-derived ATC cell lines and patient tumors, KRT8 expression shows a similar pattern. sh-RNA-mediated KRT8 knockdown in these cell lines increases apoptosis, whereas forced overexpression of KRT8 confers resistance to apoptosis under peroxide-induced cell stress conditions. We further show that KRT8 protein binds to annexin A2, a protein known to mediate apoptosis as well as the redox pathway.
VaDiR: an integrated approach to Variant Detection in RNA
Neums, Lisa , Suenaga, Seiji, Beyerlein, Peter, Anders, Sara, Koestler, Devin C. , Mariani, Andrea , Chien, Jeremy , Chien, Jeremey

Mayo Clinic

GigaScience | December 18, 2017 | Volume: 7 | Issue: 2 | Pages: No page available

10.1093/gigascience/gix122 | PMID 29267927 Get It

Abstract Background Advances in next-generation DNA sequencing technologies are now enabling detailed characterization of sequence variations in cancer genomes. With whole-genome sequencing, variations in coding and non-coding sequences can be discovered. But the cost associated with it is currently limiting its general use in research. Whole-exome sequencing is used to characterize sequence variations in coding regions, but the cost associated with capture reagents and biases in capture rate limit its full use in research. Additional limitations include uncertainty in assigning the functional significance of the mutations when these mutations are observed in the non-coding region or in genes that are not expressed in cancer tissue. Results We investigated the feasibility of uncovering mutations from expressed genes using RNA sequencing datasets with a method called Variant Detection in RNA(VaDiR) that integrates 3 variant callers, namely: SNPiR, RVBoost, and MuTect2. The combination of all 3 methods, which we called Tier 1 variants, produced the highest precision with true positive mutations from RNA-seq that could be validated at the DNA level. We also found that the integration of Tier 1 variants with those called by MuTect2 and SNPiR produced the highest recall with acceptable precision. Finally, we observed a higher rate of mutation discovery in genes that are expressed at higher levels. Conclusions Our method, VaDiR, provides a possibility of uncovering mutations from RNA sequencing datasets that could be useful in further functional analysis. In addition, our approach allows orthogonal validation of DNA-based mutation discovery by providing complementary sequence variation analysis from paired RNA/DNA sequencing datasets.
IL-33–Responsive Group 2 Innate Lymphoid Cells Are Regulated by Female Sex Hormones in the Uterus
Bartemes, Kathleen R. , Iijima, Koji, Drake, Li Y. , Kita, Hirohito , Chen, Chien-Chang, Drake, Li , Kita, H , Chen, Chien‐Chang

Mayo Clinic

The Journal of Immunology | November 13, 2017 | Volume: 200 | Issue: 1 | Pages: 229-236

10.4049/jimmunol.1602085 | PMID 29133293 Get It

Abstract Group 2 innate lymphoid cells (ILC2s) reside in multiple organs in the body, where they play roles in immunity, tissue homeostasis, and metabolic regulation. However, little is known about the regulatory mechanisms of ILC2s in different organs. Here, we identified ILC2s in the mouse uterus and found that they express cell surface molecules, including the IL-33 receptor, ST2, that are roughly comparable to those expressed by lung ILC2s. Both in vivo and in vitro treatment with IL-33 induced type 2 cytokine production in uterine ILC2s, suggesting that they respond to IL-33 in a manner similar to ILC2s in other organs. Importantly, uterine ILC2s were nearly absent in ovariectomized mice and were increased in wild-type mice by estrogen administration, whereas lung ILC2s were unaffected by both ovariectomy and estrogen administration. Likewise, a marked reduction in uterine ILC2s was observed in mice deficient in estrogen receptor α or estrogen receptor β. Furthermore, uterine ILC2s highly expressed estrogen receptor α, and in vitro culture of isolated uterine ILC2s with 17β-estradiol modified expression of a number of genes. Finally, an increased prevalence in neonatal mortality was observed in litters from dams lacking the IL-33 receptor, ST2. Taken together, our findings indicate that unlike lung IL2Cs, uterine ILC2s are regulated by female sex hormones, which may specialize them for specific physiological functions.
Historical epidemiology of hepatitis C virus in select countries—volume 4
Vince, Adriana , Himatt, Sayed , Mohamed, Rosmawati , Opare‐Sem, Ohene , Workneh, A., Njouom, Richard , Ghazzawi, Imad, Abdulla, Maheeba , Kaliaskarova, Kulpash , Owusu‐Ofori, Shirley , Abdelmageed, Marwa , Adda, Danjuma, Baqali, A. Al, Dweik, N. Al, Ejji, Khalid Al, Kaabi, S. Al, Naamani, Khalid Al , Qamish, Jehad Al, Sadadi, M. Al, Salman, Jameela Al , AlBadri, M., Al‐Busafi, Said A. , Al‐Romaihi, Hamad Eid , Ampofo, William , Antonov, Krasimir , Anyaike, Chukwuma , Arome, F., Bane, Abate, Borodo, M. M., Brandon, S., Bright, Bisi , Butt, M. T., Cardenas, I., Chan, Henry Lik‐Yuen , Chen, C. J., Chen, Ding‐Shinn , Chen, Pei‐Jer , Cuellar, Diego , Derbala, M., Elbardiny, A. A., Estes, Chris , Farag, E., Gamkrelidze, Ivane , Garcìa, V. , Genov, J, Ghandour, Z., Ghuloom, M., Gómez, B. , Gunter, J., Habeeb, J., Hajelssedig, O. , Hamoudi, Waseem , Hrstić, Irena , Hu, Ching‐Chih , Huang, Chung‐Feng , Hui, Yee Tak , Jahis, Rohani, Jelev, Deian, John, Anil K , Kamel, Yasser , Kao, Jia‐Horng , Khamis, Jawad, Khattabi, H., Khoudri, Ibtissam , Конысбекова, А А , Kotzev, Iskren, Lai, Moon Sing, Lao, Wenyu, Layden, Jennifer E. , Lee, M. H., Lesi, Olufunmilayo , Li, M., Loo, Ching‐kong, Lukšić, Boris, Malu, Abraham O., Mateva, Lyudmila, Mitova, R, Morović, Miro, Murphy, K., Mustapha, B., Nde, H. , Nersesov, Alexander , Ngige, Evelyn, Njoya, Oudou, Nonković, Diana , Obekpa, Solomon, Oguche, Stephen , Okolo, Eucharia, Omede, O. , Omuemu, C., Phillips, Richard Odame , Prokopenko, Yuriy , Razavi, Homie , Razavi‐Shearer, Devin , Redae, Berhane, Reić, Tatjana, Wit, Tobias Rinke de, Ríos, Cielo , Robbins, S., Roberts, Lewis R. , Sanad, S. J., Schmelzer, Jonathan, Sharma, Manik , Simonova, Marieta, Su, Tung‐Hung , Sultan, K., Tan, S. S. , Tchernev, К., Tsang, O. T. Y., Tsang, S., Tzeuton, Christian, Ugoeze, S., Vi, R., Wani, Hamid, Yacoub, R., Yesmembetov, Kakharman, Youbi, M., Razavi‐Shearer, Kathryn , Wong, Grace Lai‐Hung , Roberts, Lewis R , Fung, James , Akın, Onur , Blach, Sarah , Chien, Rong‐Nan , Chuang, Wan‐Long , Lee, M.-H., Lo, Acy , Ondoa, Pascale , Wit, Tobias F. Rinke de , Robbins, S., Uzochukwu, Benjamin S C. , Wong, Vincent Wai‐Sun , Yuen, Man‐Fung , Lai-Hung Wong, Grace

Mayo Clinic

Journal of Viral Hepatitis | November 4, 2017 | Volume: 24 | Issue: S2 | Pages: 8-24

10.1111/jvh.12762 | PMID 29105285 Get It

SummaryDue to the introduction of newer, more efficacious treatment options, there is a pressing need for policy makers and public health officials to develop or adapt national hepatitis C virus (HCV) control strategies to the changing epidemiological landscape. To do so, detailed, country‐specific data are needed to characterize the burden of chronic HCV infection. In this study of 17 countries, a literature review of published and unpublished data on HCV prevalence, viraemia, genotype, age and gender distribution, liver transplants and diagnosis and treatment rates was conducted, and inputs were validated by expert consensus in each country. Viraemic prevalence in this study ranged from 0.2% in Hong Kong to 2.4% in Taiwan, while the largest viraemic populations were in Nigeria (2 597 000 cases) and Taiwan (569 000 cases). Diagnosis, treatment and liver transplant rates varied widely across the countries included in this analysis, as did the availability of reliable data. Addressing data gaps will be critical for the development of future strategies to manage and minimize the disease burden of hepatitis C.
The present and future disease burden of hepatitis C virus infections with today's treatment paradigm: Volume 4
Chan, Henry Lik‐Yuen , Chen, C. J., Omede, O. , Qamish, Jehad Al, Naamani, Khalid Al , Bane, Abate, Tan, S. S. , Simonova, Marieta, Cardenas, I., Derbala, Moutaz , Phillips, Richard Odame , Abdelmageed, Marwa , Abdulla, Maheeba , Adda, Danjuma, Baqali, A. Al, Dweik, N. Al, Ejji, Khalid Al, Ghazzawi, Imad, Kaabi, S. Al, Sadadi, M. Al, Salman, Jameela Al , AlBadri, M., Al‐Busafi, Said A. , Al‐Romaihi, Hamad Eid , Ampofo, William , Antonov, Krasimir , Anyaike, Chukwuma , Arome, F., Blach, Sarah , Borodo, M. M., Brandon, S., Bright, Bisi , Butt, M. T., Chen, Ding‐Shinn , Chen, Pei‐Jer , Cuellar, Diego , Elbardiny, A. A., Farag, Elmoubasher , Gamkrelidze, Ivane , Garcìa, V. , Genov, J, Ghandour, Z., Ghuloom, M., Gómez, B. , Gunter, J., Habeeb, J., Hajelssedig, O. , Hamoudi, Waseem , Himatt, Sayed , Hrstić, Irena , Hu, Ching‐Chih , Huang, Chung‐Feng , Hui, Yee Tak , Jahis, Rohani, Jelev, Deian, John, Anil K , Kaliaskarova, Kulpash , Kamel, Yasser , Kao, Jia‐Horng , Khamis, Jawad, Khattabi, H., Khoudri, Ibtissam , Конысбекова, А А , Kotzev, Iskren, Lai, Moon Sing, Lao, Wenyu, Layden, Jennifer E. , Lee, M. H., Lesi, Olufunmilayo , Li, M., Loo, Ching Kong, Lukšić, Boris, Maaroufi, Abderrahmane , Malu, Abraham O., Mateva, Lyudmila, Mitova, R, Mohamed, Rosmawati , Morović, Miro, Murphy, K., Mustapha, B., Nersesov, Alexander , Ngige, Evelyn, Njouom, Richard , Njoya, Oudou, Nonković, Diana , Obekpa, Solomon, Oguche, Stephen , Okolo, Eucharia, Omuemu, C., Opare‐Sem, Ohene , Owusu‐Ofori, Shirley , Prokopenko, Yuriy , Razavi, Homie , Razavi‐Shearer, Devin , Razavi‐Shearer, Kathryn , Redae, Berhane, Reić, Tatjana, Wit, Tobias Rinke de, Ríos, Cielo , Robbins, S., Roberts, Lewis R. , Sanad, S. J., Schmelzer, Jonathan, Sharma, Manik , Su, Tung‐Hung , Sultan, K., Tchernev, К., Tsang, O. T. Y., Tsang, Simon H. Y., Tzeuton, Christian, Ugoeze, S., Vi, R., Vince, Adriana , Wani, Hamid, Workneh, A., Yacoub, R., Yesmembetov, Kakharman, Youbi, M., Nde, H. , Wong, Grace Lai‐Hung , Blach, S , Roberts, Lewis R , Akın, Onur , Chien, Rong‐Nan , Chuang, Wan‐Long , Estes, Chris , Fung, James , Lee, M.-H., Lo, Acy , Ondoa, Pascale , Wit, Tobias F. Rinke de , Robbins, S., Uzochukwu, Benjamin S C. , Wong, Vincent Wai‐Sun , Yuen, Man‐Fung , Lai-Hung Wong, Grace

Mayo Clinic

Journal of Viral Hepatitis | November 4, 2017 | Volume: 24 | Issue: S2 | Pages: 25-43

10.1111/jvh.12760 | PMID 29105283 Get It

SummaryFactors influencing the morbidity and mortality associated with viremic hepatitis C virus (HCV) infection change over time and place, making it difficult to compare reported estimates. Models were developed for 17 countries (Bahrain, Bulgaria, Cameroon, Colombia, Croatia, Dominican Republic, Ethiopia, Ghana, Hong Kong, Jordan, Kazakhstan, Malaysia, Morocco, Nigeria, Qatar and Taiwan) to quantify and characterize the viremic population as well as forecast the changes in the infected population and the corresponding disease burden from 2015 to 2030. Model inputs were agreed upon through expert consensus, and a standardized methodology was followed to allow for comparison across countries. The viremic prevalence is expected to remain constant or decline in all but four countries (Ethiopia, Ghana, Jordan and Oman); however, HCV‐related morbidity and mortality will increase in all countries except Qatar and Taiwan. In Qatar, the high‐treatment rate will contribute to a reduction in total cases and HCV‐related morbidity by 2030. In the remaining countries, however, the current treatment paradigm will be insufficient to achieve large reductions in HCV‐related morbidity and mortality.
Strategies to manage hepatitis C virus infection disease burden—Volume 4
Chen, Ding‐Shinn , Hamoudi, Waseem , Mustapha, B., Layden, Jennifer E. , Nersesov, Alexander , Reić, Tatjana, Garcìa, V. , Ríos, Cielo , Mateva, Lyudmila, Njoya, Oudou, Al‐Busafi, Said A. , Abdelmageed, Marwa , Abdulla, Maheeba , Adda, Danjuma, Baqali, A. Al, Dweik, N. Al, Ejji, Khalid Al, Ghazzawi, Imad, Kaabi, S. Al, Naamani, Khalid Al , Qamish, Jehad Al, Sadadi, M. Al, Salman, Jameela Al , AlBadri, M., Al‐Romaihi, Hamad Eid , Ampofo, William , Antonov, Krasimir , Anyaike, Chukwuma , Arome, F., Bane, Abate, Blach, Sarah , Borodo, M. M., Brandon, S., Bright, Bisi , Butt, M. T., Cardenas, I., Chan, Henry Lik‐Yuen , Chen, C. J., Chen, Pei‐Jer , Cuellar, Diego , Derbala, M., Elbardiny, A. A., Farag, E., Gamkrelidze, Ivane , Genov, J, Ghandour, Z., Ghuloom, M., Gómez, B. , Gunter, J., Habeeb, J., Hajelssedig, O. , Himatt, Sayed , Hrstić, Irena , Hu, Ching‐Chih , Huang, Chung‐Feng , Hui, Yee‐Tak, Jahis, Rohani, Jelev, Deian, John, Anil K , Kaliaskarova, Kulpash , Kamel, Yasser , Kao, Jia‐Horng , Khamis, Jawad, Khattabi, H., Khoudri, Ibtissam , Конысбекова, А А , Kotzev, Iskren, Lai, Moon Sing, Lao, Wenyu, Lee, M. H., Lesi, Olufunmilayo , Li, M., Loo, Ching‐kong, Lukšić, Boris, Maaroufi, Abderrahmane , Malu, Abraham O., Mitova, R, Mohamed, Rosmawati , Morović, Miro, Murphy, K., Nde, H. , Ngige, Evelyn, Njouom, Richard , Nonković, Diana , Obekpa, Solomon, Oguche, Stephen , Okolo, Eucharia, Omede, O. , Omuemu, C., Opare‐Sem, Ohene , Owusu‐Ofori, Shirley , Phillips, Richard Odame , Prokopenko, Yuriy , Razavi, Homie , Razavi‐Shearer, Devin , Razavi‐Shearer, Kathryn , Redae, Berhane, Wit, Tobias Rinke de, Robbins, S., Roberts, Lewis R. , Sanad, S. J., Sharma, Manik , Simonova, Marieta, Su, Tung‐Hung , Sultan, K., Tan, S. S. , Tchernev, К., Tsang, O. T. Y., Tsang, Simon H. Y., Tzeuton, Christian, Ugoeze, S., Vi, R., Vince, Adriana , Wani, Hamid, Workneh, A., Yacoub, R., Yesmembetov, Kakharman, Youbi, M., Schmelzer, Jonathan, Hui, Yee Tak , Wong, Grace Lai‐Hung , Blach, S , Roberts, Lewis R , Akın, Onur , Chien, Rong‐Nan , Chuang, Wan‐Long , Estes, Chris , Fung, James , Lee, M.-H., Lo, Acy , Ondoa, Pascale , Wit, Tobias F. Rinke de , Robbins, S., Uzochukwu, Benjamin S C. , Wong, Vincent Wai‐Sun , Yuen, Man‐Fung , Lai-Hung Wong, Grace

Mayo Clinic

Journal of Viral Hepatitis | November 4, 2017 | Volume: 24 | Issue: S2 | Pages: 44-63

10.1111/jvh.12759 | PMID 29105286 Get It

SummaryThe hepatitis C virus (HCV) epidemic was forecasted through 2030 for 17 countries in Africa, Asia, Europe, Latin America and the Middle East, and interventions for achieving the Global Health Sector Strategy on viral hepatitis targets—“WHO Targets” (65% reduction in HCV‐related deaths, 90% reduction in new infections and 90% of infections diagnosed by 2030) were considered. Scaling up treatment and diagnosis rates over time would be required to achieve these targets in all but one country, even with the introduction of high SVR therapies. The scenarios developed to achieve the WHO Targets in all countries studied assumed the implementation of national policies to prevent new infections and to diagnose current infections through screening.
Abstract P6-11-04: The evaluation of ganitumab/metformin plus standard neoadjuvant therapy in high-risk breast cancer: Results from the I-SPY 2 trial
Veer, Laura van’t, Sanil, Ashish, Yau, C, Forero, Andres , Chien, AJ, Wallace, AM, Moulder, SL, Albain, KS, Kaplan, HG, Elias, AD, Haley, BB, Boughey, JC , Kemmer, KA, Korde, LA, Minton, S., Lang, J. , Buxton, MB, Hylton, NM, Symmans, WF, Lyandres, Julia, Perlmutter, Jane , Esserman, LJ, Berry, DA, Yee, Douglas , Paoloni, Marco , Isaacs, Claudine , Nanda, R, DeMichele, Angela , Hogarth, Michael A. , Berry, Donald A.

Mayo Clinic

Cancer Research | March 1, 2017 | Volume: 77 | Issue: 4_Supplement | Pages: P6-11-04-P6-11-04

10.1158/1538-7445.sabcs16-p6-11-04 Get It

Abstract Background: I-SPY 2 is a multicenter, phase 2 trial using response-adaptive randomization within biomarker subtypes to evaluate novel agents when added to standard neoadjuvant therapy for women with high-risk stage II/III breast cancer - investigational agent(I) +paclitaxel(T) qwk, doxorubicin & cyclophosphamide(AC) q2-3 wk x 4 vs. T/AC (control arm). The primary endpoint is pathologic complete response (pCR) at surgery. The goal is to identify/graduate regimens that have ≥85% Bayesian predictive probability of success (statistical significance) in a 300-patient phase 3 neoadjuvant trial defined by hormone-receptor (HR) & HER2 status & MammaPrint (MP). Regimens may also leave the trial for futility (< 10% probability of success) or following accrual of maximum sample size (10%< probability of success <85%). We report the results for experimental arm Ganitumab, a type I insulin-like growth factor receptor (IGF1R) inhibitor. IGF1R inhibitors are known to induce insulin resistance and all patients assigned to Ganitumab received metformin. Methods: Women with tumors ≥2.5cm were eligible for screening. MP low/HR+ and HER2+ tumors were ineligible for randomization. Hemoglobin A1C≥ 8.0% were ineligible. MRI scans (baseline, 3 cycles after start of therapy, at completion of weekly T and prior to surgery) were used in a longitudinal statistical model to improve the efficiency of adaptive randomization. Ganitumab was given at 12mg/kg q2 weeks and metformin at 850mg PO BID, while receiving ganitumab. Analysis was intention to treat with patients who switched to non-protocol therapy counted as non-pCRs. Ganitumab/metformin was open only to HER2- patients, and eligible for graduation in 3 of 10 pre-defined signatures: HER2-, HR+HER2- and HR-HER2-. Results: Ganitumab/metformin did not meet the criteria for graduation in the 3 signatures tested. When the maximum sample size was reached, accrual to this arm stopped. Ganitumab/metformin was assigned to 106 patients; there were 128 controls. We report probabilities of superiority for Ganitumab/metformin over control and Bayesian predictive probabilities of success in a neoadjuvant phase 3 trial equally randomized between Ganitumab/metformin and control, for each of the 3 biomarker signatures, using the final pathological response data from all patients. Safety data will be presented. SignatureEstimated pCR Rate (95% probability interval)Probability Ganitumab/ Metformin Is Superior to ControlPredictive Probability of Success in Phase 3 Ganitumab/ Metformin N = 106Control N = 128 All HER2-22% (13%-31%)16% (10%-23%)89%33%HR+/HER2-14% (4%-24%)12% (4%-19%)66%21%HR-/HER2-32% (17%-46%)21% (11%-32%)91%51% Conclusion: The I-SPY 2 adaptive randomization study estimates the probability that investigational regimens will be successful in a phase 3 neoadjuvant trial. The value of I-SPY 2 is to give insight about the performance of an investigational agent's likelihood of achieving pCR. For Ganitumab/metformin, no subtype came close to the efficacy threshold of 85% likelihood of success in phase 3, and this regimen does not appear to impact upfront reduction of tumor burden. Our data do not support its continued development for the neoadjuvant treatment of breast cancer. Citation Format: Yee D, Paoloni M, van't Veer L, Sanil A, Yau C, Forero A, Chien AJ, Wallace AM, Moulder S, Albain KS, Kaplan HG, Elias AD, Haley BB, Boughey JC, Kemmer KA, Korde LA, Isaacs C, Minton S, Nanda R, DeMichele A, Lang JE, Buxton MB, Hylton NM, Symmans WF, Lyandres J, Hogarth M, Perlmutter J, Esserman LJ, Berry DA. The evaluation of ganitumab/metformin plus standard neoadjuvant therapy in high-risk breast cancer: Results from the I-SPY 2 trial [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-11-04.
Abstract P6-11-02: Efficacy of Hsp90 inhibitor ganetespib plus standard neoadjuvant therapy in high-risk breast cancer: Results from the I-SPY 2 trial
Forero, Andres , Buxton, MB, Symmans, WF, Chien, AJ, Boughey, JC , Elias, AD, Moulder, SL, Minton, S., Kaplan, HG, Albain, KS, Wallace, AM, Haley, BB, Korde, LA, Nanda, Rita , Lang, JE , Kemmer, KA, Hylton, NM, Veer, Laura van’t, Lyandres, Julia, Perlmutter, Jane , Sanil, Ashish, Berry, DA, Esserman, LJ, Yee, Douglas , DeMichele, Angela , Isaacs, Claudine , Paoloni, Marco , Hogarth, Michael A. , Yau, Christina

Mayo Clinic

Cancer Research | March 1, 2017 | Volume: 77 | Issue: 4_Supplement | Pages: P6-11-02-P6-11-02

10.1158/1538-7445.sabcs16-p6-11-02 Get It

Abstract Background:Pathologic complete response(pCR) after neoadjuvant therapy is an established prognostic biomarker for high-risk breast cancer(BC). Improving pCR rates may identify new therapies that improve survival. I-SPY 2 uses response-adaptive randomization within biomarker subtypes to evaluate novel agents when added to standard neoadjuvant therapy for women with high-risk stage II/III breast cancer; the goal is to identify regimens that have ≥85% Bayesian predictive probability of success (statistical significance) in a 300-patient phase 3 neoadjuvant trial defined by hormone-receptor (HR), HER2 status and MammaPrint (MP). We report the results for Ganetespib, a selective inhibitor of Hsp90 that induces the degradation/deactivation of key drivers of tumor initiation, progression, angiogenesis, and metastasis.Ganetespib + taxanes previously have resulted in a superior therapeutic response compared to monotherapy in multiple solid tumor models including BC. Methods:Women with tumors ≥2.5cm were eligible for screening and participation. MP low/HR+ tumors were ineligible for randomization. QTcF >470msec and HbA1C >8.0% were ineligible. MRI scans (baseline, +3 cycles, following weekly paclitaxel, T, and pre-surgery) were used in a longitudinal statistical model to improve the efficiency of adaptive randomization. Ganetespib was given with weekly T at 150 mg/m2 IV weekly (3 weeks on, 1 off). Patients were premedicated (dexamethasone 10mg and diphenhydramine HCl 25-50 mg, or therapeutic equivalents). Analysis was intention to treat with patients who switched to non-protocol therapy counted as non-pCRs. The Ganetespib regimen was open only to HER2- patients, and eligible for graduation in 3 of 10 pre-defined signatures: HER2-, HR+/HER2- and HR-/HER2-. Results:Ganetespib did not meet the criteria for graduation in the 3 signatures tested. When the maximum sample size was reached, accrual stopped. Ganetespib was assigned to 93 patients; there were 140 controls. We report probabilities of superiority for Ganetespib over control and Bayesian predictive probabilities of success in a neoadjuvant phase 3 trial equally randomized between Ganetespib and control, for the 3 biomarker signatures, using the final pCR data from all patients. Safety data will be presented. SignatureEstimated pCR Rate (95% probability interval)Probability Ganetespib Is Superior to ControlPredictive Probability of Ganetespib Success in a Phase 3 Trial Ganetespib N = 93Control N = 140 All HER2-26% (16%-37%)18% (8%-28%)91%47%HR+/HER2-15% (4%-27%)14% (4%-24%)60%19%HR-/HER2-38% (23%-53%)22% (9%-35%)96%72% Conclusion:The I-SPY 2 adaptive randomization model efficiently evaluates investigational agents in the setting of neoadjuvant BC. The value of I-SPY 2 is that it provides insight as to the regimen's likelihood of success in a phase 3 neoadjuvant study. Although no signature reached the efficacy threshold of 85% likelihood of success in phase 3, we observed the most impact in HR-/HER2- patients, with a 16% improvement in pCR rate. While our data do not support the continued development of Ganetespib alone for neoadjuvant BC, combinations with Ganetespib, which could potentiate its effect, may be worth pursuing in I-SPY 2 or similar trials. Citation Format: Forero A, Yee D, Buxton MB, Symmans WF, Chien AJ, Boughey JC, Elias AD, DeMichele A, Moulder S, Minton S, Kaplan HG, Albain KS, Wallace AM, Haley BB, Isaacs C, Korde LA, Nanda R, Lang JE, Kemmer KA, Hylton NM, Paoloni M, van't Veer L, Lyandres J, Perlmutter J, Hogarth M, Yau C, Sanil A, Berry DA, Esserman LJ. Efficacy of Hsp90 inhibitor ganetespib plus standard neoadjuvant therapy in high-risk breast cancer: Results from the I-SPY 2 trial [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P6-11-02.
The effect of pathologic T-stage and Gleason score on cancer-specific survival in patients with positive surgical margins after surgery for high-risk prostate cancer.
Tosco, Lorenzo , Bastian, Patrick J. , Briganti, Alberto , Karnes, R. Jeffrey , Sanchez‐Salas, Rafael , Spahn, Martin , Poel, Henk G. van der , Joniau, Steven , Poppel, Hendrik Van , Broeck, Thomas Van den , Chun, Felix K.‐H. , Gontero, Paolo , Hsu, Chien‐Yeh , Marchioro, G. , Tombal, Bertrand , Joniau, Steven

Mayo Clinic

Journal of Clinical Oncology | February 24, 2017 | Volume: 32 | Issue: 4_suppl | Pages: 140-140

10.1200/jco.2014.32.4_suppl.140 Get It

140 Background: High-risk prostate cancer (HRPC) is a challenging disease and the role of surgery is often considered in the context of a multimodal approach but patients with positive section margins (R1) disease have not always the same cancer-specific survival (CSS). The current study aims to analyze current postoperative pathological features in order to predict CSS of HRPC patients with R1, but with negative lymph nodes (pN0), treated with surgery. Methods: From a multi-institutional retrospective cohort of 5,876 HRPC patients treated by radical prostatectomy and pelvic lymph node dissection, 1541 patients with pN0 and R1 were selected. Following surgery, adjuvant EBRT and/or ADT were delivered according to institutional protocols. Patients were subdivided into four groups according to pT stage (pT≥3 and pT<3) and p-Gleason score (pGS≥8 and pGS<8). Kaplan-Meier plots with log-rank tests and a Cox proportional hazards model were applied to study CSS. All significance levels were set at 0.05. MedCalc was used for all statistical analyses. Results: Median age at surgery was 66 years (42-89). Of all patients, 399 (25.9%) had GS≥8 and 999 (64.8%) had pT≥3 at definitive histopathology. Patients were classified as COMBO groups: C1 (423; 27.4%; GS<8,pT<3), C2 (674; 43.7%; GS<8, pT≥3), C3 (83; 5.4%; GS≥8, pT<3), C4 (362; 23.5%; GS≥8, pT≥3). Adjuvant EBRT and ADT, respectively, were delivered in C1 3%/5%, C2 15%/21%, C3 21%/20%, C4 28%/40%. Kaplan-Meier plots demonstrated statistically different 10-yr CSS between groups: C1 97%, C2 93.8%, C3 85.1% and C4 77.3% (p<0.0001). COMBO groups were also compared using a Cox model and results are shown in the Table. Conclusions: COMBO groups demonstrated to be able to subdivide margin-positive, pN0 HRPC into 4 demarcated groups with significantly different CSS. This subdivision could be considered an easy-to-use tool which can help for counseling patients for adjuvant treatment strategies. [Table: see text]