Citations

Clear

212 citation(s) found for "McLaughlin, SA".

ACR Appropriateness Criteria® Locally Advanced, High-Risk Prostate Cancer
McLaughlin, Patrick W. , Liss, Adam L., Nguyen, Paul L. , Assimos, Dean G. , D’Amico, Anthony V. , Gustafson, Gary, Keole, Sameer R., Liauw, Stanley L. , Movsas, Benjamin , Prestidge, Bradley R., Showalter, Timothy N. , Taira, Al V., Vapiwala, Neha , GOTTSCHALK, ALEXANDER R. , Lloyd, Shane , Davis, Brian J. , Liauw, Stanley L

Mayo Clinic

American Journal of Clinical Oncology | January 6, 2017 | Volume: 40 | Issue: 1 | Pages: 1-10

10.1097/coc.0000000000000354 | PMID 28059930 Get It

Purpose: To present the most updated American College of Radiology consensus guidelines formed from an expert panel on treatment of locally advanced, high-risk prostate cancer Methods: The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer-reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment. Results: The panel summarized the most recent and relevant literature on the topic and voted on 4 clinical variants illustrating the appropriate management of locally advanced, high-risk cancer. Numerical rating and commentary reflecting the panel consensus was given for each treatment approach in each variant. Conclusions: Aggressive local approaches including surgery followed by adjuvant XRT, beam combined with androgen deprivation therapy, and beam combined with brachytherapy have resulted in unpresented success in locally advanced, high-risk prostate cancer. By combining most recent medical literature and expert opinion, this guideline can aid clinicians in the appropriate integration of available therapeutic modalities.
Hereditary Lysozyme Amyloidosis Variant p.Leu102Ser Associates with Unique Phenotype
Nasr, Samih H. , Dasari, Surendra , Mills, John R. , Theis, Jason D. , Zimmermann, Michael T. , Vrana, Julie A., Lester, Steven J., McLaughlin, Brooke M. , Gillespie, Robert L. , Highsmith, W. Edward, Kurtin, Paul J. , Fonseca, Rafaël , Lee, John J. , Dispenzieri, Angela , Zimmermann, Michael T

Mayo Clinic

Journal of the American Society of Nephrology | January 3, 2017 | Volume: 28 | Issue: 2 | Pages: 431-438

10.1681/asn.2016090951 | PMID 28049649 Get It

Lysozyme amyloidosis (ALys) is a rare form of hereditary amyloidosis that typically manifests with renal impairment, gastrointestinal (GI) symptoms, and sicca syndrome, whereas cardiac involvement is exceedingly rare and neuropathy has not been reported. Here, we describe a 40-year-old man with renal impairment, cardiac and GI symptoms, and peripheral neuropathy. Renal biopsy specimen analysis revealed amyloidosis with extensive involvement of glomeruli, vessels, and medulla. Amyloid was also detected in the GI tract. Echocardiographic and electrocardiographic findings were consistent with cardiac involvement. Proteomic analysis of Congo red–positive renal and GI amyloid deposits detected abundant lysozyme C protein. DNA sequencing of the lysozyme gene in the patient and his mother detected a heterozygous c.305T>C alteration in exon 3, which causes a leucine to serine substitution at codon 102 (Human Genome Variation Society nomenclature: p.Leu102Ser; legacy designation: L84S). We also detected the mutant peptide in the proband’s renal and GI amyloid deposits. PolyPhen analysis predicted that the mutation damages the encoded protein. Molecular dynamics simulations suggested that the pathogenesis of ALys p.Leu102Ser is mediated by shifting the position of the central β -hairpin coordinated with an antiparallel motion of the C-terminal helix, which may alter the native-state structural ensemble of the molecule, leading to aggregation-prone intermediates.
Sepsis in Patients With Cirrhosis
McLaughlin, Diane , Shellenback, Lori

Mayo Clinic

AACN Advanced Critical Care | November 4, 2016 | Volume: 27 | Issue: 4 | Pages: 408-419

10.4037/aacnacc2016716 | PMID 27959297 Get It

Patients with cirrhosis are at high risk for sepsis and sepsis-related mortality. Aggressive treatment aimed at avoidance of hypoperfusion and prompt identification and treatment of the causative organism can improve patients’ survival. Fluid administration is the first-line treatment to improve perfusion to vital organs; however, care should be taken to assess true intravascular volume status. In patients with adequate intravascular volume, vasopressors are then added to support blood pressure. Complications of cirrhosis often worsen in the setting of sepsis. Portosystemic encephalopathy, pulmonary complications, renal complications, adrenal insufficiency, malnutrition, and insufficient glucose control all must be considered and treated to support a patient with cirrhosis through sepsis. The quality of care that these patients receive ultimately influences their survival.
PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS
Southey, Melissa C. , Goldgar, David E, Winqvist, Robert , Pylkäs, Katri , Michailidou, Kyriaki , Rensburg, Elizabeth J. van , Heikkinen, Tuomas , Hopper, John L. , Dörk, Thilo , Claes, Kathleen , Teo, Zhi L. , Radice, Paolo , Catucci, Irene, Peterlongo, Paolo , Odefrey, Fabrice, Dowty, James G., Schmidt, Marjanka K. , Hogervorst, Frans B.L., Verhoef, Senno, Carpenter, Jane, Clarke, Christine L. , Scott, Rodney J. , Fasching, Peter A. , Haeberle, Lothar, Ekici, Arif B. , Beckmann, Matthias W. , Peto, Julian , Fletcher, Olivia , Johnson, Nichola , Bolla, Manjeet K. , Sawyer, Elinor J. , Tomlinson, Ian , Kerin, Michael J. , Miller, Nicola, Marmé, F., Burwinkel, Barbara , Guénel, Pascal , Truong, Thérèse , Sanchez, Marie, Bojesen, Stig E. , Nielsen, Sune F. , Flyger, Henrik, Benı́tez, Javier , Zamora, M. Pilar , Menéndez, Primitiva, Brenner, Hermann , Stegmaier, Christa, Brauch, Hiltrud , Brüning, Thomas , Ko, Yon‐Dschun, Muranen, Taru , Aittomäki, Kristiina, Blomqvist, Carl , Bogdanova, Natalia , Antonenkova, Natalia, Lindblom, Annika , Margolin, Sara , Mannermaa, Arto, Kataja, Vesa , Kosma, Veli‐Matti , Hartikainen, Jaana M. , Investigators, kConFab, Group, Australian Ovarian Cancer Study, Wauters, Els , Smeets, Dominiek, Beuselinck, Benoit , Floris, Giuseppe , Chang‐Claude, Jenny , Flesch‐Janys, Dieter, Vachon, Celine M. , McLean, Catriona , Haiman, Christopher A., Henderson, Brian E., Schumacher, Fredrick R. , Kristensen, Vessela, Alnæs, Grethe Grenaker, Zheng, Wei , Hunter, David J. , Lindström, Sara, Hankinson, Susan E. , Kraft, Peter , Andrulis, Irene L. , Knight, Julia A. , Glendon, Gord, Mulligan, Anna Marie , Jukkola‐Vuorinen, Arja , Grip, Mervi, Kauppila, Saila , Devilee, Peter , Tollenaar, Robert A.E.M., Seynaeve, Caroline, García‐Closas, Montserrat , Figueroa, Jonine D. , Lissowska, Jolanta , Darabi, Hatef, Eriksson, Mikael , Eccles, Diana M, Tapper, William , Gerty, Sue, Hooning, Maartje J. , Collée, J. Margriet, Tilanus‐Linthorst, Madeleine M.A., Li, Jingmei , Brand, Judith S. , Humphreys, Keith , Reed, Malcolm , Luccarini, Craig , Baynes, Caroline, Dunning, Alison M. , Hamann, Ute, Torres, Diana , Ulmer, Hans Ulrich, Rüdiger, Thomas , Jakubowska, Anna , Lubiński, Jan , Jaworska, Katarzyna, Durda, Katarzyna, Slager, Susan, Yannoukakos, Drakoulis , Swerdlow, Anthony J. , Ashworth, Alan , Orr, Nick , Jones, Michael E. , González‐Neira, Anna , Pita, Guillermo , Alonso, M. Rosario, Álvarez, Núria, Herrero, Daniel, Tessier, Daniel C., Vincent, Daniel , Bacot, François, Simard, Jacques , Dumont, Martine , Soucy, Penny, Eeles, Rosalind A. , Muir, Kenneth , Grönberg, Henrik , Schleutker, Johanna , Nordestgaard, Børge G. , Weischer, Maren , Travis, Ruth C. , Neal, David E. , Donovan, Jenny , Hamdy, Freddie C. , Stanford, Janet L. , Blot, William J. , Thibodeau, Stephen N. , Schaid, Daniel J. , Kelley, Joseph L., Maier, Christiane, Kibel, Adam S. , Butterbach, Katja, Kaneva, Radka , Batra, Jyotsna , Teixeira, Manuel R. , Olama, Ali Amin Al , Benlloch, Sara, Hartmann, Arndt , Hein, Alexander , Ruebner, Matthias , Lambrechts, Diether , Nieuwenhuysen, Els Van , Vergote, Ignace , Lambretchs, Sandrina, Rossing, Mary Anne, Nickels, Stefan , Eilber, Ursula, Wang‐Gohrke, Shan , Odunsi, Kunle , Sucheston‐Campbell, Lara, Friel, Grace , Lurie, Galina, Killeen, Jeffrey , Goodman, Marc T. , Runnebaum, Ingo B., Hillemanns, Peter , Pelttari, Liisa M. , Edwards, Robert P., Ness, Roberta B., Moysich, Kirsten B., Heitz, Florian , Harter, Philipp , Kommoss, Stefan , Walsh, Christine , Lester, Jenny, Jensen, Allan , Høgdall, Estrid , Peissel, Bernard , Bernard, Loris, Goode, Ellen L. , Vierkant, Robert A. , Cunningham, Julie M. , Fogarty, Zachary C. , Kalli, Kimberly R., Liang, Dong , Lu, Karen H., Hildebrandt, Michelle A.T., Wu, Xifeng , Levine, Douglas A. , Bisogna, Maria, Iversen, Edwin S., Marks, Jeffrey R. , Akushevich, Lucy , Schildkraut, Joellen M. , Terry, Kathryn L. , Stampfer, Meir J. , Tworoger, Shelley S. , Olson, Sara H. , Salvesen, Helga B., Altena, Anne M. van , Aben, Katja K.H. , Kiemeney, Lambertus A. , Massuger, Leon F.A.G. , Bean, Yukie T., Kelemen, Linda E., Le, Nhu D. , Górski, Bohdan , Menkiszak, Janusz , Høgdall, Claus , Lundvall, Lene, Nedergaard, Lotte , Engelholm, Svend Aage, Dicks, Ed , Campbell, Ian , McNeish, Iain A. , Whittemore, Alice S. , Rothstein, Joseph H. , McGuire, Valerie, Sieh, Weiva , Cai, Hui , Teten, Rachel Threet, Sutphen, Rebecca , McLaughlin, John R, Narod, Steven A., Phelan, Catherine M., Monteiro, Álvaro N.A. , Fenstermacher, David, Lin, Hui‐Yi , Sellers, Thomas A. , Chen, Y. Ann , Chen, Zhihua , Gayther, Simon A. , Ramus, Susan J. , Menon, Usha , Wu, Anna H. , Pearce, Celeste Leigh, Pike, Malcolm C., Dansonka‐Mieszkowska, Agnieszka , Plisiecka-Hałasa, Joanna, Moes-Sosnowska, Joanna , Kupryjańczyk, Jolanta , Song, Honglin , Winship, Ingrid , Chenevix‐Trench, Georgia , Tavtigian, Sean V. , Easton, Doug , Lu, Karen H. , Durocher, Francine , Eccles, Diana , Lambrechts, Diether , Vachon, Celine, Pankratz, Vernon S, Thibodeau, Stephen, Goldgar, David E, Couch, Fergus J. , Tischkowitz, Marc D. , Foulkes, William D. , Dennis, Joe , Nevanlinna, Heli , Reis‐Filho, Jorge S. , Tsimiklis, Helen , Broeks, Annegien , dos‐Santos‐Silva, Isabel , Yang, Rongxi , Ménégaux, F. , Sanchez, Marie, Pérez, José Ignacio Arias , Anton‐Culver, Hoda , Neuhausen, Susan L. , Ziogas, Argyrios , Clarke, Christina A. , Arndt, Volker , Mannermaa, Arto, Spurdle, Amanda B. , Group, Australian Ovarian Cancer Study, Rudolph, Anja , Seibold, Petra , Olson, Janet E. , Vachon, Celine M. , Pankratz, V. Shane , Marchand, Loı̈c Le , Kristensen, Vessela N. , Hankinson, Susan E. , Hollestelle, Antoinette , Chanock, Stephen Jacob , Czene, Kamila , Eriksson, Mikael , Eccles, Diana M, Rafiq, Sajjad , Hooning, Maartje J. , Martens, John W.M. , Hall, Per N , Cox, Angela , Toland, Amanda Ewart , Ambrosone, Christine B. , Wiklund, Fredrik E. , Khaw, Kay‐Tee , Cybulski, Cezary , Cannon‐Albright, Lisa , Park, Jong, Kote‐Jarai, Zsofia , Renner, Stefan P. , Doherty, Jennifer A. , Wilkens, Lynne R. , Bützow, Ralf C. , Modugno, Francesmary , Moysich, Kirsten B., Bois, Andreas du , Karlan, Beth Y. , Kjær, Susanne K. , Bonanni, Bernardo , Fridley, Brooke L. , Larson, Melissa C. , Hildebrandt, Michelle A.T. , Dao, Fanny , Berchuck, Andrew , Cramer, Daniel W. , Poole, Elizabeth M. , Bandera, Elisa V. , Orlow, Irene , Bjørge, Line , Pejovic, Tanja B. , Brooks‐Wilson, Angela , Cook, Linda S. , Gronwald, Jacek , Tyrer, Jonathan P. , Paul, James , Siddiqui, Nadeem , Glasspool, Rosalind , Shu, Xiao‐Ou , McLaughlin, John R, Permuth, Jennifer B. , Gentry‐Maharaj, Aleksandra , Berg, David Van Den , Pharoah, Paul D.P. , Giles, Graham G. , Milne, Roger L. , Pelttari, L M , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Peterlongo, Paolo , Ramus, Susan J , Teixeira, Manuel R , Tworoger, Shelley S , van Rensburg, Elizabeth J , Hein, Alexander , Hillemanns, Peter , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Monteiro, Alvaro N , Swerdlow, Anthony J , Moysich, Kirsten , Radice, Paolo , Lissowska, Jolanta , Claes, Kathleen B M , Campbell, Ian G , Eeles, Rosalind A , Southey, Melissa C , Menkiszak, Janusz , Donovan, Jenny L , Muir, Kenneth , Schleutker, Johanna , Travis, Ruth C , Lin, Hui-Yi , Fogarty, Zachary C , Dunning, Alison M , Heitz, Florian , Jakubowska, Anna , Jones, Michael E , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Brenner, Hermann , Guénel, Pascal , Li, Jingmei , Muranen, Taru A , Torres, Diana , García-Closas, Montserrat , Schmidt, Marjanka K , Winship, Ingrid M , Ekici, Arif B , Michailidou, Kyriaki , Hartikainen, Jaana M , Bogdanova, Natalia V , Kraft, Peter , Benitez, Javier , Simard, Jacques , Chenevix-Trench, Georgia , Zheng, Wei , Figueroa, Jonine D , Høgdall, Estrid , Høgdall, Claus K , Batra, Jyotsna , Pylkäs, Katri , Yannoukakos, Drakoulis , Devilee, Peter , Lubinski, Jan , Fletcher, Olivia , Bojesen, Stig E , Goodman, Marc T , Truong, Therese , Mclean, Catriona , Brauch, Hiltrud , Lindblom, Annika , Sawyer, Elinor J , Orr, Nick

Mayo Clinic

Journal of Medical Genetics | September 5, 2016 | Volume: 53 | Issue: 12 | Pages: 800-811

10.1136/jmedgenet-2016-103839 | PMID 27595995 Get It

Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are associated with breast cancer risk as high as those associated with rare BRCA2 mutations. We aimed to estimate the relative risks associated with specific rare variants in PALB2, CHEK2 and ATM via a multicentre case-control study. Methods We genotyped 10 rare mutations using the custom iCOGS array: PALB2 c.1592delT, c.2816T>G and c.3113G>A, CHEK2 c.349A>G, c.538C>T, c.715G>A, c.1036C>T, c.1312G>T, and c.1343T>G and ATM c.7271T>G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10−5), PALB2 c.3113G>A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10−8) and ATM c.7271T>G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A>G OR 2.26 (95% CI 1.29 to 3.95), c.1036C>T OR 5.06 (95% CI 1.09 to 23.5) and c.538C>T OR 1.33 (95% CI 1.05 to 1.67) (p≤0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T>G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G>T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.
Inherited variants affecting RNA editing may contribute to ovarian cancer susceptibility: results from a large-scale collaboration
Group, AOCS Study, Reid, Brett M. , Earp, Madalene A. , Chen, Y. Ann , Monteiro, Álvaro N.A. , Chen, Zhihua , Chenevix‐Trench, Georgia , Fasching, Peter A. , Beckmann, Matthias W. , Lambrechts, Diether , Vanderstichele, Adriaan , Niewenhuyse, Els Van, Vergote, Ignace , Rossing, Mary Anne, Chang‐Claude, Jenny, Moysich, Kirsten, Odunsi, Kunle , Goodman, Marc T. , Shvetsov, Yurii B. , Thompson, Pamela J., Dörk, Thilo , Bogdanova, Natalia , Pelttari, Liisa M. , Leminen, Arto, Edwards, Robert P., Ness, Roberta B., Kelley, Joseph L., Lester, Jenny, Jensen, Allan , Hildebrandt, Michelle, Liang, Dong , Lu, Karen H., Wu, Xifeng , Levine, Douglas A. , Bisogna, Maria, Berchuck, Andrew, Terry, Kathryn L. , Tworoger, Shelley S. , Cunningham, Julie M. , Winham, Stacey J. , Olson, Sara H. , Kiemeney, Lambertus A. , Massuger, Leon F.A.G. , Moffitt, Melissa , Le, Nhu, Kelemen, Linda E. , Lubiński, Jan , Wentzensen, Nicolas, Brinton, Louise A. , Lissowska, Jolanta , Yang, Hanna , Høgdall, Estrid , Høgdall, Claus , Lundvall, Lene, Song, Honglin , Campbell, Ian , Eccles, Diana , McNeish, Iain A. , Whittemore, Alice S. , McGuire, Valerie, Sieh, Weiva , Rothstein, Joseph H. , Phelan, Catherine M., Narod, Steven A., McLaughlin, John, Ziogas, Argyrios, Menon, Usha , Gayther, Simon A. , Ramus, Susan J. , Pearce, Celeste Leigh, Wu, Anna H. , Kupryjańczyk, Jolanta , Dansonka‐Mieszkowska, Agnieszka , Schildkraut, Joellen M. , Cheng, Jin Q. , Goode, Ellen L. , Sellers, Thomas A. , Lu, Karen H. , Lambrechts, Diether , Earp, Madalene, Cunningham, Julie, Permuth, Jennifer B. , Group, AOCS Study, Doherty, Jennifer A. , Wilkens, Lynne R. , Bützow, Ralf C. , Nevanlinna, Heli , Modugno, Francesmary , Heitz, Florian , Karlan, Beth Y. , Lester, Jenny, Kjær, Susanne K. , Giles, Graham G. , Cramer, Daniel W. , Poole, Elizabeth M. , Bandera, Elisa V. , Fridley, Brooke L. , Orlow, Irene , Bjørge, Line , Pejovic, Tanja B. , Cook, Linda S. , Brooks‐Wilson, Angela , Gronwald, Jacek , Wentzensen, Nicolas , Pharoah, Paul D.P. , Risch, Harvey A. , McLaughlin, John, Anton‐Culver, Hoda , Gentry‐Maharaj, Aleksandra , Pelttari, L M , Winham, Stacey J , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Ramus, Susan J , Tworoger, Shelley S , Vanderstichele, Adriaan , Jensen, Allan , Eccles, Diana , Menon, Usha , Monteiro, Alvaro N , Moysich, Kirsten , Lissowska, Jolanta , Campbell, Ian G , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Bogdanova, Natalia V , Chenevix-Trench, Georgia , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T

Mayo Clinic

Oncotarget | July 28, 2016 | Volume: 7 | Issue: 45 | Pages: 72381-72394

10.18632/oncotarget.10546 | PMID 27911851 Get It

Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with risk of clear cell ovarian cancer
Hampras, Shalaka , Sucheston‐Campbell, Lara, Cannioto, Rikki , Chang‐Claude, Jenny , Dörk, Thilo , Hillemanns, Peter , Preus, Leah, Knutson, Keith L. , Wallace, Paul K. , Friel, Grace , Davis, Warren , Nesline, Mary , Pearce, Celeste Leigh, Kelemen, Linda E. , Goodman, Marc T. , Terry, Kathryn L. , Schoof, Nils , Eng, Kevin H., Clay‐Gilmour, Alyssa , Joseph, Janine M. , Aben, Katja K.H. , Antonenkova, Natalia, Baker, Helen , Bean, Yukie T., Beckmann, Matthias W. , Bisogna, Maria, Bogdanova, Natalia , Brinton, Louise A. , Bruinsma, Fiona , Campbell, Ian , Carty, Karen , Dansonka‐Mieszkowska, Agnieszka , Despierre, Evelyn, Dicks, Ed , Easton, Doug , Eccles, Diana , Edwards, Robert P., Ekici, Arif B. , Fasching, Peter A. , Gao, Yu‐Tang , Harrington, Patricia, Harter, Philipp , Hasmad, Hanis Nazihah, Hein, Alexander , Heitz, Florian , Hildebrandt, Michelle A.T., Høgdall, Claus , Høgdall, Estrid , Hosono, Satoyo , Iversen, Edwin S., Jakubowska, Anna , Jensen, Allan , Ji, Bu‐Tian , Kellar, Melissa, Kelley, Joseph L., Kiemeney, Lambertus A. , Klapdor, Rüdiger , Kolomeyevskaya, Nonna, Krakstad, Camilla , Kruszka, Bridget, Kupryjańczyk, Jolanta , Lambrechts, Diether , Lambrechts, Sandrina, Le, Nhu D. , Lee, Alice W. , Lele, Shashikant , Leminen, Arto, Lester, Jenny, Levine, Douglas A. , Liang, Dong , Lissowska, Jolanta , Liu, Song , Lu, Karen, Lubiński, Jan , Lundvall, Lene, Massuger, Leon F.A.G. , Matsuo, Keitaro , McGuire, V., McLaughlin, John R., McNeish, Iain A. , Menon, Usha , Moes-Sosnowska, Joanna , Narod, Steven A., Nedergaard, Lotte , Nickels, Stefan , Olson, Sara H. , Weber, Rachel Palmieri , Paul, James , Pelttari, Liisa M. , Perkins, Barbara, Permuth‐Wey, Jenny, Pike, Malcolm C., Plisiecka-Hałasa, Joanna, Rossing, Mary Anne, Rothstein, Joseph H. , Runnebaum, Ingo B. , Rzepecka, Iwona K. , Salvesen, Helga B., Schernhammer, Eva , Schmitt, Kristina, Schwaab, Ira, Shvetsov, Yurii B. , Sieh, Weiva , Song, Honglin , Southey, Melissa C. , Tangen, Ingvild L. , Teo, Soo‐Hwang , Thompson, Pamela J., Timorek, Agnieszka, Tworoger, Shelley S. , Altena, Anna M. van, Vergote, Ignace , Vierkant, Robert A. , Walsh, Christine , Wang‐Gohrke, Shan , Wentzensen, Nicolas, Whittemore, Alice S. , Wicklund, Kristine G. , Wu, Anna H. , Wu, Xifeng , Woo, Yin Ling , Zheng, Wei , Gayther, Simon A. , Ramus, Susan J. , Sellers, Thomas A. , Schildkraut, Joellen M. , Phelan, Catherine M., Chenevix‐Trench, Georgia , Cunningham, Julie M. , Ness, Roberta B., Odunsi, Kunle , Goode, Ellen L. , Moysich, Kirsten B., Lu, Karen H. , Lambrechts, Diether , Modugno, Francesmary , Knutson, Keith L. , Hong, Chi‐Chen , Bandera, Elisa V. , Singh, Prashant Kumar , Anton‐Culver, Hoda , Bjørge, Line , Brooks‐Wilson, Angela , Bützow, Ralf C. , Cook, Linda S. , Cramer, Daniel W. , Cybulski, Cezary , Dennis, Joe , Doherty, Jennifer A. , Bois, Andreas du , Dürst, Matthias , Fridley, Brooke L. , Gentry‐Maharaj, Aleksandra , Giles, Graham G. , Glasspool, Rosalind , Gronwald, Jacek , Hildebrandt, Michelle A.T. , Karlan, Beth Y. , Kjær, Susanne K. , Lu, Karen, McLaughlin, John R., Nevanlinna, Heli , Orlow, Irene , Pejovic, Tanja B. , Poole, Elizabeth M. , Risch, Harvey A. , Rudolph, Anja , Shu, Xiao‐Ou , Siddiqui, Nadeem , Tyrer, Jonathan P. , Wentzensen, Nicolas , Wilkens, Lynne R. , Yang, Hannah , Ziogas, Argyrios , Berchuck, Andrew , Pharoah, Paul D.P. , Pelttari, L M , Dörk, Thilo , Lambrechts, Diether , Kiemeney, Lambertus A , McNeish, Iain A , Ramus, Susan J , Teo, Soo H , Tworoger, Shelley S , Hein, Alexander , Hillemanns, Peter , Jensen, Allan , Vierkant, Robert A , Eccles, Diana , Menon, Usha , Paul, James , Moysich, Kirsten , Lissowska, Jolanta , Campbell, Ian G , Southey, Melissa C , Matsuo, Keitaro , Heitz, Florian , Jakubowska, Anna , Kupryjanczyk, Jolanta , Lambrechts, Diether , Sieh, Weiva , Ekici, Arif B , Bogdanova, Natalia V , Chenevix-Trench, Georgia , Zheng, Wei , Høgdall, Estrid , Høgdall, Claus K , Lubinski, Jan , Goodman, Marc T

Mayo Clinic

Oncotarget | July 6, 2016 | Volume: 7 | Issue: 43 | Pages: 69097-69110

10.18632/oncotarget.10215 | PMID 27533245 Get It

Abstract P4-04-05: Differential mRNA expression patterns in breast tumors with high vs. low quantity of stromal tumor–Infiltrating lymphocytes
Moyer, AM , Boughey, JC , Kalari, KR, Suman, VJ, McLaughlin, SA, Moreno‐Aspitia, Alvaro , Northfelt, DW, Gray, RJ, Sinnwell, JP, Carlson, EE, Dockter, TJ, Jones, KN, Felten, SJ, Conners, AL, Wieben, ED, Ingle, JN, Wang, L, Weinshilboum, RM, Visscher, DW, Goetz, MP

Mayo Clinic

Cancer Research | May 20, 2016 | Volume: 76 | Issue: 4_Supplement | Pages: P4-04-05-P4-04-05

10.1158/1538-7445.sabcs15-p4-04-05 Get It

Abstract Background: Tumor-infiltrating lymphocytes (TIL) have prognostic and potentially predictive significance in the (neo)adjuvant treatment of high-risk breast cancer. However, quantitative TIL measurement is not routinely performed. It is unclear why some tumors attract large quantities of TIL while others do not. We sought to confirm the association between TIL and pathologic complete response rate (pCR) and to further use next generation sequencing (NGS) to identify genes and gene pathways associated with the presence/absence of TIL. Methods: We studied 140 women with high risk stage I-III breast cancer, enrolled in the Breast Cancer Genome Guided Therapy Study (BEAUTY), obtaining serial biopsies for DNA/RNA sequencing and MRI imaging to assess response to neoadjuvant chemotherapy (NAC) with taxane (+/- trastuzumab+/-pertuzumab for HER2+ disease) followed by AC or (F)EC. Diagnostic pre-NAC core needle biopsies and surgical resection specimens post-NAC were available from 110 patients. Stromal TIL were semi-quantitated on a scale of 1-4 (with 1: ≤10/hpf, 2: subtle infiltrate >10/hpf, 3: moderate infiltrate readily visible at low power magnification, 4: dense infiltrate with innumerable lymphocytes). For this analysis, low TIL was defined as scores of 1-2 vs. high defined as 3-4. Using pre-NAC biopsies, RNAseq was performed using the Illumina HiSeq2000 and the Mayo Analysis Pipeline for RNAseq (MAP-Rseq) for quality control, sequence alignment, and gene counts. The quantity of TIL was associated with transcripts across the transcriptome after conditional quantile normalization. Differentially expressed genes were obtained using EdgeR analysis, using a false discovery rate of 0.05, and pathways were evaluated using GAGE methods. Results: The pCR and residual cancer burden (RCB)-0/I rates by stromal TIL status within each molecular subtype are presented in the table. A diverse spectrum of 1344 genes with differential expression between tumors with high vs. low stromal TIL was identified. The genes with >2.0-fold change (FC) and p<1e-09 included S100A7 (4.49 FC), LCN2 (2.48 FC), and ART3 (2.82 FC) (genes known to be involved in immune regulation), as well as TDRD1 (2.71 FC) (a gene related to ERG [ETS-related gene] expression). In addition, the "regulation of actin cytoskeleton" pathway was upregulated in tumors with high TIL, while the "Hedgehog signaling" and "Wnt signaling" pathways were downregulated. Molecular SubtypeStromal TILspCR rate n (%)RCB-0/I rateLuminal AHigh------Luminal ALow0/9 (0%)0/9 (0%)Luminal BHigh1/9 (11.1%)1/8 (12.5%)Luminal BLow3/24 (12.5%)6/23 (26.1%)ER+/HER2+High3/9 (33.3%)4/9 (44.4%)ER+/HER2+Low1/6 (16.7%)1/6 (16.7%)ER-/HER2+High8/9 (88.9%)7/7 (100%)ER-/HER2+Low4/8 (50.0%)6/8 (75.0%)Triple NegativeHigh10/19 (52.6%)13/19 (68.4%)Triple NegativeLow7/14 (50.0%)9/13 (69.2%) Conclusions: We identified genes and gene pathways associated with high TIL expression in breast tumors prior to NAC that provide insight into the interactions between TIL and tumors. TIL can be easily semi-quantitated on H&E and along with these novel biomarkers, may contribute to the personalization of breast cancer therapy. Citation Format: Moyer AM, Boughey JC, Kalari KR, Suman VJ, McLaughlin SA, Moreno-Aspitia A, Northfelt DW, Gray RJ, Sinnwell JP, Carlson EE, Dockter TJ, Jones KN, Felten SJ, Conners AL, Wieben ED, Ingle JN, Wang L, Weinshilboum RM, Visscher DW, Goetz MP. Differential mRNA expression patterns in breast tumors with high vs. low quantity of stromal tumor–Infiltrating lymphocytes. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P4-04-05.
Abstract P3-07-51: Regulation of DNA methyltransferases via TRAF6 determines breast cancer response to decitabine
Yu, J., Qin, Bing-zhao, Boughey, JC , Moyer, AM , Visscher, DW, Sinnwell, JP, Yin, Pen-Hui, Thompson, KJ, Docter, TJ, Kalari, KR, Suman, VJ, Wieben, ED, Felten, SJ, Conners, AL, Jones, KN, McLaughlin, SA, JA, III Copland, Aspitia, Alvaro Moreno, Northfelt, DW, Gray, RJ, Ingle, JN, Lou, Zhongguan, Weinshilboum, Richard, Goetz, MP, Wang, L, Yu, J, Yin, Pen‐Hui, Wang, L

Mayo Clinic

Cancer Research | May 20, 2016 | Volume: 76 | Issue: 4_Supplement | Pages: P3-07-51-P3-07-51

10.1158/1538-7445.sabcs15-p3-07-51 Get It

Abstract Background: Tumorigenesis involves both genetic and epigenetic changes. Epigenetic alterations are reversible and are promising cancer therapeutic targets. Decitabine (5-aza-2'-deoxycytidine), a DNA methyltransferase inhibitor, is FDA approved for hematological malignancies. However, the effect of decitabine in breast cancer is not completely understood. Previous reports indicated that one decitabine mechanism involves regulation of protein levels for DNMT1, the major DNA methyltransferase that methylates hemimethylated CpG di-nucleotides in DNA. However, the E3 ligase involved in this process has not been identified. Whether decitabine also regulates DNMT3A and 3B in a similar fashion remains unclear. Therefore, our goals were to 1) understand mechanisms underlying decitabine action, 2) test the antitumor activity of decitabine in breast cancer models and 3) identify biomarkers associated with response to decitabine. Methods and Results: Western blots of breast cancer cell lines showed that DNMT1, DNMT3A, and DNMT3B protein levels decreased following decitabine treatment without a reduction in mRNA levels. Bioinformatic analysis of DNA methyltransferase sequences revealed a potential TRAF6 binding motif, and the interaction with TRAF6 (TNF receptor-associated factor 6) was confirmed by IP. TRAF6 functions as an E3 ligase. To determine whether TRAF6 might be the E3 ligase responsible for the degradation of DNMTs after decitabine treatment, we knocked down TRAF6 by RNA interference or knocked out the TRAF6 gene by CRISPR/Cas9. Down regulation of TRAF6 attenuated DNMT ubiquitination and increased DNMT protein levels, suggesting that TRAF6 might mediate proteasome-dependent degradation of all three DNMTs. This was further confirmed by reconstituting the knockout cells with WT and a TRAF6-C70A mutant, followed by assessing DNMT protein levels. Global DNA methylation was also increased after TRAF6 depletion and was confirmed in TRAF6 knock out cells in which DNMT levels were unaffected by decitabine. Cell cytotoxicity and colony forming assays showed that TRAF6 knockout cells were resistant to decitabine, suggesting that a major decitabine mechanism of action is through the regulation of TRAF6 which, in turn, degrades DNMTs, leading to decreased global methylation. Finally, decitabine significantly induced TRAF6 at both mRNA and protein levels, a process that might create positive feedback leading to increased degradation of DNMT proteins upon decitabine treatment. Based on these results, we further hypothesized that levels of the three DNMTs might influence decitabine response. Using 18 breast cancer patient derived xenograft (PDX) models, we found a wide range of DNMT protein levels regardless of ER/HER2 status. DNMT levels in the PDX models were directly associated with sensitivity to decitabine treatment, confirming our hypothesis. Conclusion: Our data showed that decitabine might be an effective agent for treating breast cancer and revealed a novel mechanism underlying decitabine treatment. Baseline DNMT protein levels may serve as a biomarker for predicting decitabine drug response. Citation Format: Yu J, Qin B, Boughey JC, Moyer AM, Visscher DW, Sinnwell JP, Yin P, Thompson KJ, Docter TJ, Kalari KR, Suman VJ, Wieben ED, Felten SJ, Conners AL, Jones KN, McLaughlin SA, Copland JA III, Moreno Aspitia A, Northfelt DW, Gray RJ, Ingle JN, Lou Z, Weinshilboum R, Goetz MP, Wang L. Regulation of DNA methyltransferases via TRAF6 determines breast cancer response to decitabine. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-07-51.
Abstract P3-07-29: Role of germline BRCA status and tumor homologous recombination (HR) deficiency in response to neoadjuvant weekly paclitaxel followed by anthracycline-based chemotherapy
Boughey, JC , Kalari, KR, Suman, VJ, McLaughlin, SA, Aspitia, Alvaro Moreno, Moyer, AM , Northfelt, DW, Gray, RJ, Vedell, PT, Dockter, TJ, Jones, KN, Felten, SJ, Conners, AL, Hart, SN, Visscher, DW, Wieben, ED, Ingle, JN, Hartman, A-R, Timms, K, Elkin, EP, Wang, L, Weinshilboum, RW, Goetz, MP, Tang, Xiaoyu , Ingle, JN, Jones, John G.

Mayo Clinic

Cancer Research | May 20, 2016 | Volume: 76 | Issue: 4_Supplement | Pages: P3-07-29-P3-07-29

10.1158/1538-7445.sabcs15-p3-07-29 Get It

Abstract Background: Both HR deficiency and BRCA mutation status predict response to platinum-based therapy and BRCA mutation status predicts docetaxel resistance. However, the association of either biomarker with response to the individual elements of either AC or taxanes (T) is unknown since T is commonly given concomitantly with or after anthracyclines (A). We evaluated the association of HRD and BRCA mutation status with response to neoadjuvant weekly T followed by AC or (F)EC in high-risk breast cancer. Methods: We studied 140 high risk Stage I-III breast cancer patients (pts), enrolled in the breast cancer genome guided therapy study (BEAUTY), obtaining biopsies for DNA/RNA sequencing and MRI imaging to assess response to neoadjuvant weekly T (+trastuzumab+/-pertuzumab for HER2+ disease) followed by AC or (F)EC. Germline BRCA status and HR status of tumor samples (Myriad laboratories) were obtained. HR deficient tumor was defined as HRD score ≥42 or BRCA mutation. MRI response by changes in tumor size after 12 weeks of T was classified by WHO criteria. pCR was defined as ypT0/Tis ypN0. Both MRI response after T and pCR (after T and AC) were examined in terms of germline BRCA mutation (gBRCAmut vs. gBRCAwt) and tumor HR deficiency. Results: Of 140 pts enrolled, 8 withdrew consent and 2 carboplatin treated pts were excluded. Germline data were available for 124/130 pts. 12 patients had BRCA deleterious germline mutations (4 BRCA1, 8 BRCA2). MRI partial (PR)/complete response (CR) rate to T was 47.3% (95% CI: 37.8-57.0%) in the BRCAwt group and 66.7% (95% CI: 34.9-90.1%) in the BRCAmut group. No MRI CR's were observed in BRCA1 mut pts. In contrast, pCR rate was 50% in the 12 gBRCAmut pts (95% CI: 21.1-78.9%) and 31.3% in the 112 gBRCAwt pts (95% CI: 22.8-40.7%). HR deficiency status has thus far been determined for 74 pts: 26 pts have HD deficient tumors: 18 TNBC, 5 Luminal B, 2 ER-/HER2+; and 1 ER+/HER2+. Determination of HR deficiency is ongoing and will be reported for the full cohort in terms of 12 week MRI response to T and pCR to T+AC. HR deficientMolecular Subtypeyes (%)no (%)TBD (%)Luminal A0/112/11 (18.2)9/11 (81.8)Luminal B5/37 (13.5)13/37 (35.1)19/37 (51.3)Luminal NOS0/21/2 (50)1/2 (50)ER+/Her2+1/17 (5.8)14/17 (82.4)2/17 (11.8)ER-/Her2+2/20 (10)11/20 (55)7/20 (35)Triple Negative18/43 (41.9)6/43 (18.6)17/43 (39.5)germline BRCA statusMRI partial response after T (%)MRI complete response after T (%)pCR after T&AC (%)BRCA11/4 (25)0/42/4 (50)BRCA25/8 (62.5)2/8 (25)4/8 (50)BRCAwt35/112 (31.3)18/112 (16.1)35/112 (31.3) Conclusion: In the setting of neoadjuvant weekly T followed by AC, pCR rates were non-significantly higher in pts with BRCA1 mutations. While we observed no overall association between BRCA mutation status and response rates to taxanes; nearly all MRI responses to taxanes (partial and complete) were observed in the BRCA2 group. Prospective studies are needed to validate these findings and to determine whether BRCA status can be used to select therapy. HR deficiency is uncommon in luminal A and HER2+, frequent in TNBC, and the association of HRD with both MRI response to taxanes and pCR will be reported at the meeting. Citation Format: Boughey JC, Kalari KR, Suman VJ, McLaughlin SA, Moreno Aspitia A, Moyer AM, Northfelt DW, Gray RJ, Vedell PT, Tang X, Dockter TJ, Jones KN, Felten SJ, Conners AL, Hart SN, Visscher DW, Wieben ED, Ingle JN, Hartman A-R, Timms K, Elkin E, Jones J, Wang L, Weinshilboum RW, Goetz MP. Role of germline BRCA status and tumor homologous recombination (HR) deficiency in response to neoadjuvant weekly paclitaxel followed by anthracycline-based chemotherapy. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P3-07-29.
Abstract P2-04-02: Immunomodulatory effects of entinostat on PD-L1 and MHC class I and II in different subtypes of breast cancer
Chumsri, Saranya , Necela, BM, Ordentlich, Peter , Advani, Pooja , Moreno‐Aspitia, Alvaro , McLaughlin, SA, Geiger, Xochiquetzal J., McDonough, Michelle, Vallow, LA, Perez, EA, Thompson, E. Aubrey

Mayo Clinic

Cancer Research | May 20, 2016 | Volume: 76 | Issue: 4_Supplement | Pages: P2-04-02-P2-04-02

10.1158/1538-7445.sabcs15-p2-04-02 Get It

Abstract Background: Targeting immune checkpoint programmed death receptor 1 (PD-1)/PD-L1 pathway has shown promising clinical activity with some preliminary association of clinical benefit with PD-L1 expression on tumors. Recent preclinical and clinical studies highlight the beneficial immunomodulatory potential of epigenetic therapy. Entinostat is a class I specific histone deacetylase inhibitor (HDACi). A promising preclinical study showed that entinostat in combination with immune checkpoint blockade agent can eradicate modestly immunogenic breast tumors in mice via reduction in immunosuppressive myeloid-derived suppressor cells. In this study, we investigated the effects of entinostat on expression of immune-related genes in breast cancer cells to further explore the potential mechanism of its combined activity. Method: Gene expression was assessed on Nanostring platform using the nCounter GX Human ImmunologyV2 panel comprised of 594 immune-related and 15 reference genes. Gene expression was normalized to the internal positive controls and reference genes using nSolver2.0 software. Hormone receptor-positive (HR+) breast cancer (MCF-7 and T47D) and triple negative breast cancer (TNBC) cell lines (MDA-MB-231 and Hs578T) were used for the analysis. Gene expression analysis was performed on control and after 24-hour treatment of entinostat at clinically relevant 125 and 500 nM concentrations. Results: Overall, a greater number of immune-related genes were induced > 2 fold with entinostat at 125 and 500 nM in TNBC compared to HR+: 77 and 118 genes in MDA-MB-231, 80 and 147 genes in Hs578T, 20 and 64 genes in MCF-7, and 73 and 72 genes in T47D, respectively. In particular, MHC class I (HLA-A, HLA-B, HLA-C) and II (HLA-DMA, HLA-DMB, HLA-DOA, HLA-DOB, HLA-DPA1, HLA-DPB1, HLA-DQA1, HLA-DQA2, HLA-DQB1, HLA-DQB2, HLA-DRA, and HLA-DRB1) genes were induced by entinostat in a dose dependent manner (range 1.5-22.44 fold). These inductions were observed in both HR+ and TNBC cell lines. Interestingly, we found higher baseline expression and a several fold increase in PD-L1 expression in TNBC. PD-L1 mRNA expression increased by 1.74 and 2.14 fold in MDA-MB-231 and 3 and 9.6 fold in Hs578T with 125 and 500 nM treatment, respectively. Corresponding increase in PD-L1 protein expression after entinostat treatment was also observed. In contrast, there appeared to be no significant changes in PD-L1 expression after entinostat treatment in MCF-7 and T47D. Furthermore, we also identified 21 genes that were differentially induced by entinostat in TNBC but not in HR+. These genes include PTPN22, ARG2, CISH, IL17A, ICAM2, KIR3DL1, CXCR3, TLR2, CFD, CCR5, IL13, LILRA3, IL8, TNFRSF9, DPP4, MR1, SELPLG, PTGS2, IL1B, CD3D, and MBL2. No significant change in PDL2 expression was observed in any of the cell lines. Conclusion: Our data suggest that entinostat induces immune-related genes involved in antigen presentation in both ER+ and TNBC cells, potentially increasing the immunogenicity of these tumors. Given the significant induction of PD-L1 expression with entinostat in TNBC, our preclinical data provides support for further investigation of entinostat in combination with anti-PD1 or anti-PD-L1 in this subtype of breast cancer. Citation Format: Chumsri S, Necela BM, Ordentlich P, Advani P, Moreno-Aspitia A, McLaughlin SA, Geiger X, McDonough M, Vallow LA, Perez EA, Thompson EA. Immunomodulatory effects of entinostat on PD-L1 and MHC class I and II in different subtypes of breast cancer. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P2-04-02.