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Abstract PD6-14: Analysis of DNA repair deficiency biomarkers as predictors of response to the PD1 inhibitor pembrolizumab: Results from the neoadjuvant I-SPY 2 trial for stage II-III high-risk breast cancer
Sanil, Ashish, Singhrao, Ruby , Investigators, I-SPY 2 TRIAL, Asare, Smita , Berry, Donald A. , Esserman, L., Veer, Laura van ‘t , Nanda, Rita , Yau, Christina , Wolf, Denise M. , Swigart, Lamorna Brown , Hirst, Gillian L. , Investigators, I-SPY 2 TRIAL, DeMichele, Angela , Veer, Laura J. van’t , Liu, Ming , Yee, Douglas

Mayo Clinic

Cancer Research | February 15, 2018 | Volume: 78 | Issue: 4_Supplement | Pages: PD6-14-PD6-14

10.1158/1538-7445.sabcs17-pd6-14 Get It

Abstract Background: Pembrolizumab (P), an anti-PD-1 immune checkpoint inhibitor, has been approved for treatment of microsatellite instability-high and mismatch repair deficient cancers. In I-SPY 2, patients were randomized to receive standard chemotherapy alone or in combination with an experimental agent. P was one of the experimental agents evaluated in HER2- patients in I-SPY 2 and graduated in the TN, HR+HER2-, and HER2- signatures. We hypothesize that a combination of two signatures predicting response to veliparib/carboplatin therapy in I-SPY 2 [MammaPrint High2 (MP2)/PARPi7-high] and reflecting DNA damage repair deficiency, may also predict response to P. In addition, we also tested 9 gene expression signatures reflecting different aspects of DNA damage and repair: FA, MMR, BER, HR, TLS, NER, NHEJ, DR, and DNA damage sensing (DDS) pathways. Methods: Data from 249 patients (P: 69 and controls: 180) were available. Pre-treatment biopsies were assayed using Agilent gene expression arrays. All I-SPY 2 qualifying biomarker analyses follow a pre-specified analysis plan. We used logistic modeling to assess biomarker performance. A biomarker is considered a specific predictor of P response if it associates with response in the P arm but not the control arm, and if the biomarker x treatment interaction is significant (likelihood ratio test, p<0.05). This analysis is also performed adjusting for HR status as a covariate, and within receptor subsets, sample size permitting. For successful biomarkers, we use Bayesian modeling to estimate the pCR rates of 'predicted sensitive' patients in each arm. Our statistics are descriptive rather than inferential and do not adjust for multiplicities of other biomarkers outside this study. Results: MP2 status associates with pCR in P (OR=7.7; p=0.00021), but also to a lesser extent in the control arm (OR=2.4:p=0.045), with an OR ratio of 3.3 which trends toward significance, even after adjusting for HR status (LR p=0.083). A majority of TN patients are MP2; and TN/MP2 patients have an estimated pCR rate of 67% in P (vs. 23% in control). Although only ~30% of HR+HER2- patients were MP2, their estimated pCR rate in P is 61%, compared to 29% in unselected HR+/HER2- patients. PARPi7 predicted response in the P arm only in the HR+HER2- group (LR p= 0.025), but not in the population as a whole or the TN subtype. Combining MP2 and PARPi7 into MP2/PARPi7-high did not improve performance over MP2 as a single biomarker. Of the 9 DDR pathway signatures tested, both BER and DDS associate with pCR in P, but only DDS (which includes ATM, ATR, CHEK1-2) associates with pCR in the P arm (LR p=0.00029), and not the control arm (LR p=0.53), with a significant interaction with treatment (LR p=0.0064) that retains significance in a model adjusting for HR status. When dichotomized to optimize the biomarker x treatment interaction, the estimated pCR rate is 75% in P vs 18% in control, in the DDS+ subset. Conclusion: In this small study, MP2 status and a DNA damage sensing pathway but not the PARPi7 or other repair pathways show promise as predictive biomarkers for immune checkpoint inhibition therapy in breast cancer. Citation Format: Yau C, Wolf D, Brown-Swigart L, Hirst G, Sanil A, Singhrao R, I-SPY 2 TRIAL Investigators, Asare S, DeMichele A, Berry D, Esserman L, van 't Veer L, Nanda R, Liu M, Yee D. Analysis of DNA repair deficiency biomarkers as predictors of response to the PD1 inhibitor pembrolizumab: Results from the neoadjuvant I-SPY 2 trial for stage II-III high-risk breast cancer [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 PD6-14.
Abstract PD6-08: Analysis of immune infiltrates (assessed via multiplex fluorescence immunohistochemistry) and immune gene expression signatures as predictors of response to the checkpoint inhibitor pembrolizumab in the neoadjuvant I-SPY 2 trial
Borowsky, Alexander D. , Vandenberg, Scott , Wolf, DM, Nanda, Rita , Liu, M, Asare, Smita , Veer, Laura van’t, Yee, Dean Y., Berry, Daniella R. A. I., Esserman, Laura, Campbell, Matthew T. , Yau, Christina , Wolf, DM, Rimm, David L. , Swigart, Lamorna Brown , Hirst, Gillian L. , DeMichele, Angela

Mayo Clinic

Cancer Research | February 15, 2018 | Volume: 78 | Issue: 4_Supplement | Pages: PD6-08-PD6-08

10.1158/1538-7445.sabcs17-pd6-08 Get It

Abstract Background: Pembrolizumab (Pembro), an anti-PD-1 immune checkpoint inhibitor, has been approved for the treatment of a variety of cancers including melanoma, non-small cell lung cancer, head and neck squamous cell carcinoma, and urothelial carcinoma. Pembro was recently evaluated in HER2- breast cancer patients in the neoadjuvant I-SPY 2 TRIAL and graduated in the triple negative (TN), HR+HER2-, and HER2- signatures. HER2- patients were randomized to receive Pembro+paclitaxel followed by doxorubicin/cyclophosphamide (P+T -> AC) vs. T -> AC. We and others have shown that TN breast cancers tend to have high numbers of immune infiltrates, including T cells and tumor associated macrophages (TAMs). We evaluated expression signatures representing 14 immune cell types (TILs, T cells, CD8 T cells, exhausted T cells, Th1, Tregs, cytotoxic cells, NK, NK CD56dim, dendritic cells, mast cells, B cells, macrophages, and neutrophils) as specific predictors of response to Pembro. Methods: Data from 248 patients (Pembro: 69; controls: 179) were available. Pre-treatment biopsies were assayed using Agilent gene expression arrays. Signature scores are calculated by averaging cell type specific genes. All I-SPY 2 qualifying biomarker analyses follow a pre-specified analysis plan. We used logistic modeling to assess biomarker performance. A biomarker is considered a specific predictor of Pembro response if it associates with response in the Pembro arm but not the control arm, and if the biomarker x treatment interaction is significant (likelihood ratio test, p<0.05). This analysis is also performed adjusting for HR status as covariates, and within receptor subsets. For successful biomarkers, we use Bayesian modeling to estimate the pCR rates of 'predicted sensitive' patients in each arm. Our statistics are descriptive rather than inferential and do not adjust for multiplicities of other biomarkers outside this study. Results: 10 out of the 14 cell-type signatures tested are associated with response in the Pembro arm. Higher expression levels of 9 of these cell-type signatures are associated with higher pCR rates (T cells, exhausted T cells, Th1, cytotoxic cells, NK, NK CD56dim, dendritic cells, B cells, and macrophages), whereas higher mast cell signature expression is associated with non-pCR. Interestingly, many of these same signatures also associate or trend towards association with response in the control arm; and in a model adjusting for HR status, only 3 of these signatures (Th1, B cells and dendritic cells) show significant interaction with treatment. Within the whole population and the TN subtype, the dendritic cell signature is the strongest predictor of specific response to Pembro (OR/1SD: 4.04 and 4.4, LR p < 0.001 overall and in TN). Although other immune signatures (T cells, exhausted T cells, NK, and macrophages) also associate with response in the Pembro arm in the TN subtype, only the dendritic cell and Th1 signatures have a significant interaction with treatment. In contrast, in the HR+HER2- subtype, only 3 signatures (Th1, B cells, and mast cells) associate with response to Pembro; but none of these signatures have significant interaction with treatment. Of note, in both the Pembro and control arms, HR+HER2- patients with higher average mast cell marker expression have lower pCR rates (OR/1SD: 0.33 and 0.51, LRp: 0.006 and 0.04 in Pembro and control arm). Conclusion: As expected, multiple immune cell expression signatures are predictive of response in the Pembro arm; but only dendritic cells and Th1 cells are specific to Pembro in both the population as a whole and the TN subtype. Interestingly, the presence of mast cells may impede response, especially in HR+HER2- patients. Correlation of these signatures with multiplex-IF immune markers is pending. Citation Format: Campbell M, Yau C, Borowsky A, Vandenberg S, Wolf D, Rimm D, Nanda R, Liu M, Brown-Swigart L, Hirst G, Asare S, van't Veer L, Yee D, DeMichele A, Berry D, Esserman L. Analysis of immune infiltrates (assessed via multiplex fluorescence immunohistochemistry) and immune gene expression signatures as predictors of response to the checkpoint inhibitor pembrolizumab in the neoadjuvant I-SPY 2 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 PD6-08.
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.
Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations
Friebel, Tara M. , Friedman, Eitan , Hamann, Ute, Huo, Dezheng , Kwong, Ava , Oláh, Edith , Olopade, Olufunmilayo I., Solano, Ángela R. , Teo, Soo‐Hwang , Thomassen, Mads , Weitzel, Jeffrey N. , Chan, TL, Couch, Fergus J., Goldgar, David E., Kruse, Torben A., Palmero, Edenir Inêz , Park, Sue K. , Torres, Diana , Rensburg, Elizabeth J. van , McGuffog, Lesley, Aalfs, Cora M. , Abugattas, Julio E. , Aittomäki, Kristiina, Andrews, Lesley , Andrulis, Irene L., Arason, Aðalgeir , Arun, Banu, Asseryanis, Ella, Auerbach, Leo, Azzollini, Jacopo , Balmañà, Judith , Barile, Monica, Barkardóttir, Rósa B. , Barrowdale, Daniel , Benı́tez, Javier , Berger, Andreas, Berger, Raanan , Blanco, Amie , Blazer, Kathleen R. , Blok, Marinus J. , Bonadona, Valérie , Bradbury, Angela R. , Brewer, Carole, Buecher, Bruno , Caldés, Trinidad, Caliebe, Almuth , Caligo, Maria A. , Caputo, Sandrine M. , Chiquette, Jocelyne , Claes, Kathleen , Collée, J. Margriet, Davidson, Rosemarie, Hoya, Miguel de la , Leeneer, Kim De , Pauw, Antoine De , Delnatte, Capucine, Ding, Yuan Chun , Ditsch, Nina , Dorfling, Cecilia M., Dworniczak, Bernd , Eason, Jacqueline , Easton, Douglas F. , Eeles, Rosalind A. , Ehrencrona, Hans , Ejlertsen, Bent , EMBRACE, Engel, Christoph , Engert, Stefanie, Evans, D. Gareth , Faivre, Laurence, Feliubadaló, Lídia , Ferrer, Sandra Fert, Foretová, Lenka , Fowler, Jeffrey M., Frost, Debra, Galvão, Henrique C.R. , Ganz, Patricia A. , Gauthier‐Villars, Marion , Gehrig, Andrea, Collaborators, GEMO Study, Gerdes, Anne‐Marie , Gesta, Paul , Giannini, Giuseppe , Giraud, Sophie , Glendon, Gord , Godwin, Andrew K., Greene, Mark H. , Gutierrez‐Barrera, Angelica M. , Hahnen, Eric , Hauke, Jan , HEBON, Henderson, Alex, Hogervorst, Frans B. L., Honisch, Ellen, Imyanitov, Evgeny N., Izatt, Louise , Izquierdo, Á. , Jakubowska, Anna , James, Paul A. , Janavičius, Ramūnas , Jensen, Uffe Birk , Vijai, Joseph , Kaczmarek, Katarzyna, Karlan, Beth Y., Kast, Karin, Investigators, kConFab, Kim, Sung-Won, Konstantopoulou, Irene , Korach, Jacob, Laitman, Yael , Lasset, Christine, Lázaro, Conxi , Lee, Annette, Lee, Min Hyuk , Lester, Jenny, Lesueur, Fabienne , Liljegren, Annelie, Lindor, Noralane M. , Longy, Michel, Loud, Jennifer T. , Lu, Karen H. , Lubiński, Jan , Macháčková, Eva , Manoukian, Siranoush , Mari, Véronique , Martínez-Bouzas, Cristina, Mátrai, Zoltán , Mebirouk, Noura, Meijers‐Heijboer, Hanne , Meindl, Alfons , Mensenkamp, Arjen R. , Mickys, Ugnius, Montagna, Marco , Moysich, Kirsten B., Mulligan, Anna Marie , Musinsky, Jacob, Ngeow, Joanne , Niederacher, Dieter , Nielsen, Henriette Roed, Nielsen, Finn C., Offit, Kenneth, Öfverholm, Anna , Ong, Kai‐Ren , Osório, Ana , Papp, J., Pasini, Barbara , Pedersen, Inge Søkilde , Peixoto, Ana , Peruga, Nina, Peterlongo, Paolo , Pohl, Esther, Pradhan, Nisha , Prajzendanc, Karolina , Prieur, Fabienne, Radice, Paolo , Ramus, Susan J. , Rantala, Johanna, Rashid, Muhammad Usman , Rhiem, Kerstin, Rodriguez, Gustavo C. , Rogers, Mark T., Rudaitis, Vilius , Schmidt, Ane Yde , Schmutzler, Rita K., Senter, Leigha , Shah, Payal D. , Side, Lucy, Simard, Jacques , Skytte, Anne‐Bine , Slavin, Thomas P. , Snape, Katie , Sobol, Hagay, Southey, Melissa C. , Sukiennicki, Grzegorz, Sutter, Christian , Tan, Yen Y. , Teixeira, Manuel R. , Terry, Mary Beth , Teulé, Àlex , Thomas, Abigail, Thull, Darcy L. , Tognazzo, Silvia , Toland, Amanda Ewart, Topka, Sabine , Trainer, Alison H. , Hout, Annemieke H. van der, Kolk, Lizet E. van der, Luijt, Rob B. van der , Heetvelde, Mattias Van , Varesco, Liliana, Varon‐Mateeva, Raymonda, Vega, Ana , Villarreal‐Garza, Cynthia , Wachenfeldt, Anna von , Walker, Lisa, Wang‐Gohrke, Shan , Wappenschmidt, Barbara, Yoon, Sook-Yee, Zanzottera, Cristina, Zidan, Jamal, Zorn, Kristin K. , Selkirk, Christina G. , Hulick, Peter J. , Chenevix‐Trench, Georgia , Antoniou, Antonis C. , Nathanson, Katherine L. , Durocher, Francine , Olopade, Olufunmilayo I. , Faivre, Laurence , Białkowska, Katarzyna , Caligo, Maria A , Hulick, Peter J , James, Paul , Lesueur, Fabienne , Peterlongo, Paolo , Ramus, Susan J , Teixeira, Manuel R , Teo, Soo H , van Rensburg, Elizabeth J , Moysich, Kirsten , Vega, Ana , de la Hoya, Miguel , Radice, Paolo , Weitzel, Jeffrey N , Claes, Kathleen B M , Azzollini, Jacopo , Eeles, Rosalind A , Ehrencrona, Hans , Evans, D Gareth , Joseph, Vijai , Konstantopoulou, Irene , Olopade, Olufunmilayo I , Southey, Melissa C , van der Luijt, Rob B , Jakubowska, Anna , Palmero, Edenir I , Torres, Diana , Nathanson, Katherine L , Arason, Adalgeir , Barrowdale, Daniel , Benitez, Javier , Engel, Christoph , Izquierdo, Angel , Lazaro, Conxi , Montagna, Marco , Simard, Jacques , Chenevix-Trench, Georgia , Senter, Leigha , Topka, Sabine , Rebbeck, Timothy R. , Couch, Fergus J. , Parsons, Michael T. , Leslie, Goska , Adlard, Julian , Agata, Simona , Arnold, Norbert , Bonanni, Bernardo , Buys, Saundra S. , Campbell, Ian , Chung, Wendy K. , Cook, Jackie A , Dı́ez, Orland , Domchek, Susan M. , Velázquez, Carolina , EMBRACE, Garber, Judy E. , Collaborators, GEMO Study, Gronwald, Jacek , HEBON, Hentschel, Julia , Hogervorst, Frans B.L., Isaacs, Claudine , John, Esther M. , Karlan, Beth Y. , Lasa, Adriana , Lasset, Christine , Liljegren, Annelie , Meindl, Alfons , Miller, Austin , Moysich, Kirsten B. , Neuhausen, Susan L. , Nevanlinna, Heli , Nguyen, Huu Phuc , Nussbaum, Robert L. , Papi, Laura , Pujol, Pascal , Rhiem, Kerstin , Robson, Mark E. , Sharma, Priyanka , Singer, Christian F. , Sobol, Hagay , Steele, Linda Roslyn , Steinemann, Doris , Szabo, Csilla I. , Tischkowitz, Marc D. , Toland, Amanda Ewart , Tung, Nadine , Asperen, Christi J. van , Varesco, Liliana , Varon-Mateeva, Raymonda, Wappenschmidt, Barbara , Weber, Bernhard H. F. , Yannoukakos, Drakoulis , Spurdle, Amanda B. , Faivre, Laurence , Rashid, Muhammad U , De Leeneer, Kim , Feliubadaló, Lidia , Hauke, Jan , Pasini, Barbara , Ngeow, Joanne , Manoukian, Siranoush , Lubinski, Jan , Terry, Mary Beth , Villarreal-Garza, Cynthia , Balmaña, Judith , Kwong, Ava

Mayo Clinic

Human Mutation | February 15, 2018 | Volume: 39 | Issue: 5 | Pages: 593-620

10.1002/humu.23406 | PMID 29446198 Get It

Selective Inhibition of Nuclear Export With Oral Selinexor for Treatment of Relapsed or Refractory Multiple Myeloma
Dingli, David , Cornell, Robert F. , Huff, Carol Ann , Bhutani, Divaya , Zonder, Jeffrey A. , Cole, Craig E. , Vij, Ravi , Abonour, Rafat , Schiller, Gary J. , Parker, Terri L., Costa, Luciano J. , Kaminetzky, David , Hoffman, James E. , Chari, Ajai , Wier, Scott Van, Ahmann, Gregory , Lopez, Ilsel, Kauffman, Michael , Shacham, Sharon, Saint-Martin, Jean-Richard, Picklesimer, Carla, Choe-Juliak, Cassandra, Stewart, A. Keith, Vogl, Dan T. , Cornell, Robert Frank, Zonder, Jeffrey, Nooka, Ajay, Richter, Joshua , Cole, Craig, Schiller, Gary, Yee, Andrew J. , Van Wier, Scott, Picklesimer, Carla D, Chari, Ajai , Dingli, David , Bhutani, Divaya , Costa, Luciano J , Jagannath, Sundar , Baz, Rachid , Nooka, Ajay K. , Jakubowiak, Andrzej , Yee, Andrew J , Siegel, David S. , Fonseca, Rafaël

Mayo Clinic

Journal of Clinical Oncology | January 30, 2018 | Volume: 36 | Issue: 9 | Pages: 859-866

10.1200/jco.2017.75.5207 | PMID 29381435 Get It

Purpose Selinexor, a first-in-class, oral, selective exportin 1 (XPO1) inhibitor, induces apoptosis in cancer cells through nuclear retention of tumor suppressor proteins and the glucocorticoid receptor, along with inhibition of translation of oncoprotein mRNAs. We studied selinexor in combination with low-dose dexamethasone in patients with multiple myeloma refractory to the most active available agents. Patients and Methods This phase II trial evaluated selinexor 80 mg and dexamethasone 20 mg, both orally and twice weekly, in patients with myeloma refractory to bortezomib, carfilzomib, lenalidomide, and pomalidomide (quad-refractory disease), with a subset also refractory to an anti-CD38 antibody (penta-refractory disease). The primary end point was overall response rate (ORR). Results Of 79 patients, 48 had quad-refractory and 31 had penta-refractory myeloma. Patients had received a median of seven prior regimens. The ORR was 21% and was similar for patients with quad-refractory (21%) and penta-refractory (20%) disease. Among patients with high-risk cytogenetics, including t(4;14), t(14;16), and del(17p), the ORR was 35% (six of 17 patients). The median duration of response was 5 months, and 65% of responding patients were alive at 12 months. The most common grade ≥ 3 adverse events were thrombocytopenia (59%), anemia (28%), neutropenia (23%), hyponatremia (22%), leukopenia (15%), and fatigue (15%). Dose interruptions for adverse events occurred in 41 patients (52%), dose reductions occurred in 29 patients (37%), and treatment discontinuation occurred in 14 patients (18%). Conclusion The combination of selinexor and dexamethasone has an ORR of 21% in patients with heavily pretreated, refractory myeloma with limited therapeutic options.
Role of Bone-Modifying Agents in Multiple Myeloma: American Society of Clinical Oncology Clinical Practice Guideline Update
Ismaila, Nofisat , Flynn, Patrick J. , Halabi, Susan , Ogaily, Mohammed S., Omel, Jim, Roodman, G. David, Yee, Gary C., Kyle, Robert A. , Halabi, Susan , Anderson, Kenneth C. , Jagannath, Sundar , Raje, Noopur

Mayo Clinic

Journal of Clinical Oncology | January 17, 2018 | Volume: 36 | Issue: 8 | Pages: 812-818

10.1200/jco.2017.76.6402 | PMID 29341831 Get It

Purpose To update guideline recommendations on the role of bone-modifying agents in multiple myeloma. Methods An update panel conducted a targeted systematic literature review by searching PubMed and the Cochrane Library for randomized controlled trials, systematic reviews, meta-analyses, clinical practice guidelines, and observational studies. Results Thirty-five relevant studies were identified, and updated evidence supports the current recommendations. Recommendations For patients with active symptomatic multiple myeloma that requires systemic therapy with or without evidence of lytic destruction of bone or compression fracture of the spine from osteopenia on plain radiograph(s) or other imaging studies, intravenous administration of pamidronate 90 mg over at least 2 hours or zoledronic acid 4 mg over at least 15 minutes every 3 to 4 weeks is recommended. Denosumab has shown to be noninferior to zoledronic acid for the prevention of skeletal-related events and provides an alternative. Fewer adverse events related to renal toxicity have been noted with denosumab compared with zoledronic acid and may be preferred in this setting. The update panel recommends that clinicians consider reducing the initial pamidronate dose in patients with preexisting renal impairment. Zoledronic acid has not been studied in patients with severe renal impairment and is not recommended in this setting. The update panel suggests that bone-modifying treatment continue for up to 2 years. Less frequent dosing has been evaluated and should be considered in patients with responsive or stable disease. Continuous use is at the discretion of the treating physician and the risk of ongoing skeletal morbidity. Retreatment should be initiated at the time of disease relapse. The update panel discusses measures regarding osteonecrosis of the jaw. Additional information is available at www.asco.org/hematologic-malignancies-guidelines and www.asco.org/guidelineswiki .
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.
Tokyo Guidelines 2018: surgical management of acute cholecystitis: safe steps in laparoscopic cholecystectomy for acute cholecystitis (with videos)
Wakabayashi, Go , Iwashita, Yukio , Hibi, Taizo , Takada, Tadahiro , Strasberg, Steven M. , Asbun, Horacio J. , Endo, Itaru , Umezawa, Akiko , Asai, Koji , Mori, Yasuhisa , Okamoto, Kohji , Pitt, Henry A. , Hwang, Tsann‐Long , Choi, In‐Seok , Huang, Wayne Shih‐Wei, Giménez, Mariano , Garden, O. James , Gouma, Dirk J., Belli, Giulio, Dervenis, Christos, Jagannath, P., Chan, Angus C. W., Lau, Wan Yee , Liu, Keng‐Hao, Su, Cheng‐Hsi, Misawa, Takeyuki , Tagaya, Nobumi, Fujioka, Shuichi , Higuchi, Ryota , Shikata, Satoru , Noguchi, Yoshinori , Yokoe, Masamichi, Cherqui, Daniel , Sugioka, Atsushi , Santibáñes, Eduardo de , Supe, Avinash , Tokumura, Hiromi, Kimura, Taizo, Yoshida, Masahiro , Mayumi, Toshihiko , Kitano, Seigo, Inomata, Masafumi , Sumiyama, Yoshinobu, Inui, Kazuo, Yamamoto, Masakazu , Suzuki, Kenji S. , Han, Ho-Seong , Yoon, Yoo-Seok , Yoon, Dong Sup , Nakamura, Masafumi , Horiguchi, Akihiko , Ukai, Tomohiko , Honda, Goro , Hirata, Koichi

Mayo Clinic

Journal of Hepato-Biliary-Pancreatic Sciences | November 2, 2017 | Volume: 25 | Issue: 1 | Pages: 73-86

10.1002/jhbp.517 | PMID 29095575 Get It

Abstract In some cases, laparoscopic cholecystectomy (LC) may be difficult to perform in patients with acute cholecystitis (AC) with severe inflammation and fibrosis. The Tokyo Guidelines 2018 (TG18) expand the indications for LC under difficult conditions for each level of severity of AC. As a result of expanding the indications for LC to treat AC, it is absolutely necessary to avoid any increase in bile duct injury (BDI), particularly vasculo‐biliary injury (VBI), which is known to occur at a certain rate in LC. Since the Tokyo Guidelines 2013 (TG13), an attempt has been made to assess intraoperative findings as objective indicators of surgical difficulty; based on expert consensus on these difficulty indicators, bail‐out procedures (including conversion to open cholecystectomy) have been indicated for cases in which LC for AC is difficult to perform. A bail‐out procedure should be chosen if, when the Calot's triangle is appropriately retracted and used as a landmark, a critical view of safety (CVS) cannot be achieved because of the presence of nondissectable scarring or severe fibrosis. We propose standardized safe steps for LC to treat AC. To achieve a CVS, it is vital to dissect at a location above (on the ventral side of) the imaginary line connecting the base of the left medial section (Segment 4) and the roof of Rouvière's sulcus and to fulfill the three criteria of CVS before dividing any structures. Achieving a CVS prevents the misidentification of the cystic duct and the common bile duct, which are most commonly confused. Free full articles and mobile app of TG18 are available at: http://www.jshbps.jp/modules/en/index.php?content_id=47 . Related clinical questions and references are also included.