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925 citation(s) found for "Ly, Jane".

Abstract GS5-01: Residual cancer burden after neoadjuvant therapy and long-term survival outcomes in breast cancer: A multi-center pooled analysis
Noordaa, Marieke van der, Wei, Jane , Reyal, Fabien , Laé, Marick , Monte, Maria del, Gould, Rebekah , Steenbruggen, Tessa G. , Seijen, Maartje van , Edge, Stephen B. , Sammut, Stephen‐John , Provenzano, Elena , Graham, Ashley , Mackintosh, Lorna, Wang, Alice , Cole, Kimberly, Veer, Laura van ‘t , Yau, Christina , Noordaa, Marieke E. M. van der, Osdoit, Marie , Hamy, Anne‐Sophie , Martín, Miguel , Boughey, Judy C. , Wesseling, Jelle , Sonke, Gabe S. , Abraham, Jean , Hall, Peter S , Graham, Ashley, Cameron, David , Sharma, Priyanka , Pusztai, Lajos , Kim, Mi‐Ok , Veer, Laura J. van’t , Esserman, Laura J. , Symmans, W. Fraser

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: GS5-01-GS5-01

10.1158/1538-7445.sabcs19-gs5-01 Get It

Abstract Background: Recent studies have demonstrated independent validation of the prognostic relevance of residual cancer burden (RCB) after neoadjuvant chemotherapy. However, a pooled subject-level analysis of multiple cohorts is needed to determine estimates of long-term prognosis for each class of RCB in each phenotypic subtype of breast cancer (BC) to better inform on patient outcomes. Also, a pooled subject-level analysis allows more detailed analyses of generalizability of the prognostic meaning of RCB assessments in a broader experience of practice settings. Method: Subject-level RCB results, with relevant clinical and pathologic stage, tumor subtype and grade, demographic, treatment and follow-up data from 11 institutes/trials are being collected for combined analysis. The association between the continuous RCB index and event-free survival (EFS), and distant recurrence free survival (DRFS) were assessed using mixed effect Cox models with the incorporation of random RCB coefficients to account for between-study heterogeneity. We will also allow for differences in baseline hazard across biological BC subtypes and, if needed, across studies as well. In addition to this stratified mixed effect model, a multivariate analysis adjusting for age, T-category, nodal status and grade was performed within each subtype. In addition, mixed effect Cox models will be employed to evaluate association between RCB index with EFS and DRFS within each HR/HER2 subtype. Kaplan Meier estimates of EFS and DRFS at 5 and 10 years were computed for each RCB class within subtype. Results: We analyzed subject-level data from 9 institutes/trials representing 4077 patients currently available from an anticipated final total of 4,800 patients (to be presented at the meeting). There were 950 EFS and 876 DRFS events during follow up (median 65 months, IQR: 70 months). RCB index (continuous) was independently prognostic within each subtype: HR+/HER2- (EFS HR (per unit increase in RCB index) =1.64, 95%CI 1.48-1.82; DRFS HR=1.68, 1.51-1.87), HR+/HER2+ (EFS HR=1.80, 1.57-2.05; DRFS HR=1.93, 1.67-2.24), HR-/HER2+ (EFS HR=2.15, 1.76-2.62; DRFS HR=2.10, 1.77-2.50), and HR-/HER2- (EFS HR=2.05, 1.89-2.22; DRFS HR=2.16, 1.90-2.46); and remained prognostic in multivariate models adjusting for age, grade, and clinical T and N stage at diagnosis. Table 1 contains the response rate and estimated EFS at 5 years and 10 years for each RCB class within each HR/HER2 phenotype (DRFS results were similar). Conclusions: Long-term prognosis after pCR was similarly excellent in all phenotypic subtypes. RCB index and classification was independently and strongly prognostic in all subtypes, and generalizable to multiple practice settings. Prognostic differences by RCB class occurred within 5 years in HR- BC, but extended to 10 years in HR+ BC. RCB-I had slightly worse EFS than pCR in HR- BC and HR+/HER2+ BC (after 5 years), but the same EFS as pCR in HR+/HER2- BC. Complete analysis of all subjects, including neoadjuvant treatments, will be presented at the meeting. PhenotypeOutcomepCRRCB-IRCB-IIRCB-IIIHR+/HER2-Frequency (%)11%10%52%27%(N=1467)5 yr EFS (95% CI)91% (86-96)93% (89-98)82% (79-85)70% (65-75)10 yr EFS (95% CI)84% (75-93)88% (82-95)71% (67-75)52% (46-58)HR+/HER2+Frequency (%)38%18%35%9%(N=762)5 yr EFS (95% CI)94% (91-97)93% (88-98)78% (73-84)49% (37-65)10 yr EFS (95% CI)91% (86-96)79% (70-90)65% (59-73)42% (29-60)HR-/HER2+Frequency (%)66%11%18%5%(N=550)5 yr EFS (95% CI)93% (90-96)88% (79-97)60% (50-71)45% (30-69)10 yr EFS (95% CI)90% (86-94)84% (74-95)56% (46-68)45% (30-69)HR-/HER2-Frequency (%)41%13%33%13%(N=1293)5 yr EFS (95% CI)92% (90-94)85% (79-91)68% (63-72)28% (21-36)10 yr EFS (95% CI)87% (82-91)80% (72-88)63% (58-68)24% (18-33) Citation Format: Christina Yau, Marieke van der Noordaa, Jane Wei, Marie Osdoit, Fabien Reyal, Anne-Sophie Hamy, Marick Lae, Miguel Martin, Maria del Monte, I-SPY 2 TRIAL Consortium, Judy C Boughey, Rebekah Gould, Jelle Wesseling, Tessa Steenbruggen, Maartje van Seijen, Gabe Sonke, Stephen Edge, Stephen-John Sammut, Elena Provenzano, Jean Abraham, Peter Hall, Ashley Graham, Lorna Mackintosh, David Cameron, Alice Wang, Priyanka Sharma, Kimberly Cole, Lajos Pusztai, Mi-Ok Kim, Laura van ‘t Veer, Laura Esserman, W. Fraser Symmans. Residual cancer burden after neoadjuvant therapy and long-term survival outcomes in breast cancer: A multi-center pooled analysis [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr GS5-01.
Abstract P6-10-06: Amsterdam 70-gene profile (MammaPrint) low risk, even in the HER2 positive subset, identifies a population of women with lower early risk for recurrence despite low response rates to chemotherapy and to HER2 targeted therapy
Pohlmann, Paula R. , Melisko, Michelle , Perlmutter, Jane , Berry, Donald A. , Pohlmann, Paula , Yau, Christina , DeMichele, Angela , Isaacs, Claudine , Boughey, Judy C. , Hylton, Nola M. , Rugo, Hope S. , Symmans, W. Fraser , Esserman, Laura J.

Cancer Research | March 26, 2020 | Volume: 80 | Issue: 4_Supplement | Pages: P6-10-06-P6-10-06

10.1158/1538-7445.sabcs19-p6-10-06 Get It

Abstract Importance: It is essential to refine the populations most likely to benefit from targeted chemotherapy combinations. Background: MINDACT showed that molecularly low risk patients, as assessed by the Amsterdam 70-gene profile MammaPrint® (Agendia) (MP), did not benefit from chemotherapy. In the I-SPY2 trial, MP low risk Hormone Receptor (HR) positive/HER2 negative patients are not eligible; however, HR negative or HER2 positive patients were considered high risk and included for treatment with chemotherapy plus novel agents. The neoadjuvant setting provides an opportunity to evaluate whether molecularly low risk HER2 positive patients are good candidates for neoadjuvant chemo/anti-HER2 therapy, where pathologic complete response (pCR) and 3-year outcomes are measured. Objective: To evaluate and further characterize the fraction of and outcomes for patients molecular low-risk disease in the I-SPY2 trial. Methods: The I-SPY2 platform trial is an ongoing multicenter phase 2 multi-arm study utilizing adaptive design and evaluating efficacy and tolerability of investigational agents in combination with standard-of-care chemotherapy for patients with high-risk anatomic stage II/III breast cancer. Patients with HR+HER2- MP low-risk tumors are not eligible. All enrolled patients undergo pretreatment biopsy for genomic evaluation of early recurrence risk with MP for risk stratification and with the 80-gene BluePrint® (Agendia) test for intrinsic subtype classification. Primary endpoint of the study is pCR in breast and lymph nodes (ypT0/is, ypN0). Secondary outcomes included event-free survival (EFS) and distant-recurrence free survival (DRFS). Following standard neoadjuvant treatment with or without a concomitant investigational agent, patients are followed for long-term outcomes. EFS and DRFS at 3 and 5 years in the pCR vs non-pCR groups within histologic and molecular subtypes are determined using the Kaplan Meier method. Results: Of the 1038 enrolled patients by November 2016, 24 patients (3.2%) had molecular low-risk disease as determined by MP. Of these, 21 (87.5%) had HR+HER2+, 1 (4.2%) had HR-HER2+, and 2 (8.4%) had HR-HER2-. BluePrint expression subtyping classified 17 as luminal-type, 6 HER2 enriched-type and 1 basal type. One patient withdrew consent for follow-up. Of the 23 remaining, none achieved pCR and only one (HR+/HER2+) had an EFS event (with median follow-up of 4.3 years). Overall, EFS and DRFS data were available for 950 of the 1038 patients (as of February 2019), with median follow-up of 3.8 years. Of the 173 HR+HER2+ in this cohort, 20 (11.6%) had molecular low-risk tumors. The EFS and DRFS for the 173 HER2+HR+ pCR group is 97% and 98% (non-pCR group 89% and 94%), respectively at 3 years. Removing the molecular low-risk HER2+ patients from the denominator reveals the worse outcome for patients with non pCR: EFS 86% and DRFS 92% at 3 years. The difference is more apparent at 5 years, changing from 74% to 66% for EFS and from 81% to 75% for DRFS. Intrinsic subtypes vary and do not predict early risk. Conclusions: I-SPY2 focuses on women with high clinical risk with only 3.2% of enrolled patients having low molecular risk tumors. However, 12% of HER+ breast cancer enrolled patients had molecular low risk tumors of which 95% were also HR+. In this group, early recurrence is very low despite absence of pCR and irrespective of intrinsic subtype. Refining the population using molecular high-risk classification of patients reveals a greater difference between the pCR and non-pCR groups within the HR+HER2+ subtype in the EFS and DRFS analysis. Clinical trial designs could address the opportunity to find more targeted and less toxic treatments for the HER2+ low molecular risk patient population. Citation Format: Paula R Pohlmann, Christina Yau, Angela DeMichele, Claudine Isaacs, Judy C Boughey, Nola Hylton, Michelle E Melisko, Jane Perlmutter, Hope S Rugo, W. Fraser Symmans, I-SPY 2 TRIAL Consortium, Donald A Berry, Laura Esserman. Amsterdam 70-gene profile (MammaPrint) low risk, even in the HER2 positive subset, identifies a population of women with lower early risk for recurrence despite low response rates to chemotherapy and to HER2 targeted therapy [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-10-06.
Functional informed genome‐wide interaction analysis of body mass index, diabetes and colorectal cancer risk
Xia, Zhiyu , Petersen, Paneen S., Qi, Lihong , Kim, Andre E. , Figueiredo, Jane C. , Nan, Hongmei , Berndt, Sonja I. , Casey, Graham , Conti, David V. , Gallinger, Steven , Gauderman, W. James, Gruber, Stephen B. , Gunter, Marc J. , Hoffmeister, Michael , Joshi, Amit D. , Li, Li , Lindor, Noralane M. , Moreno, Vı́ctor , Murphy, Neil , Nassir, Rami , Rennert, Gad , Wang, Xiaoliang , Woods, Michael O. , Brenner, Hermann , Slattery, Martha L. , Giovannucci, Edward L. , Chang‐Claude, Jenny, Peters, Ulrike , Kim, Andre E , Buchanan, Daniel D , Hoffmeister, Michael , Rennert, Gad , Moreno, Victor , Gunter, Marc J , Brenner, Hermann , Murphy, Neil , Nassir, Rami , Wang, Xiaoliang , Conti, David V , Nan, Hongmei , Su, Yu-Ru , Lin, Yi , Sakoda, Lori C. , Albanes, Demetrius , Bezieau, Stéphane , Bien, Stephanie A. , Buchanan, Daniel D. , Chan, Andrew T. , Drew, David A. , Giles, Graham G. , Jenkins, Mark A. , Marchand, Loı̈c Le , Lewinger, Juan Pablo , Newcomb, Polly A. , Ogino, Shuji , Song, Mingyang , Wolk, Alicja , White, Emily E. , Pharoah, Paul D.P. , Hsu, Li , Campbell, Peter T.

Cancer Medicine | March 24, 2020 | Volume: 9 | Issue: 10 | Pages: 3563-3573

10.1002/cam4.2971 | PMID 32207560 Get It

AbstractBackgroundBody mass index (BMI) and diabetes are established risk factors for colorectal cancer (CRC), likely through perturbations in metabolic traits (e.g. insulin resistance and glucose homeostasis). Identification of interactions between variation in genes and these metabolic risk factors may identify novel biologic insights into CRC etiology.MethodsTo improve statistical power and interpretation for gene‐environment interaction (G × E) testing, we tested genetic variants that regulate expression of a gene together for interaction with BMI (kg/m2) and diabetes on CRC risk among 26 017 cases and 20 692 controls. Each variant was weighted based on PrediXcan analysis of gene expression data from colon tissue generated in the Genotype‐Tissue Expression Project for all genes with heritability ≥1%. We used a mixed‐effects model to jointly measure the G × E interaction in a gene by partitioning the interactions into the predicted gene expression levels (fixed effects), and residual G × E effects (random effects). G × BMI analyses were stratified by sex as BMI‐CRC associations differ by sex. We used false discovery rates to account for multiple comparisons and reported all results with FDR <0.2.ResultsAmong 4839 genes tested, genetically predicted expressions of FOXA1 (P = 3.15 × 10−5), PSMC5 (P = 4.51 × 10−4) and CD33 (P = 2.71 × 10−4) modified the association of BMI on CRC risk for men; KIAA0753 (P = 2.29 × 10−5) and SCN1B (P = 2.76 × 10−4) modified the association of BMI on CRC risk for women; and PTPN2 modified the association between diabetes and CRC risk in both sexes (P = 2.31 × 10−5).ConclusionsAggregating G × E interactions and incorporating functional information, we discovered novel genes that may interact with BMI and diabetes on CRC risk.
Late effects after ablative allogeneic stem cell transplantation for adolescent and young adult acute myeloid leukemia
Kim, Soyoung , Tecca, Heather R. , Bo‐Subait, Stephanie, Brazauskas, Ruta , Buchbinder, David , Hamilton, Betty K. , Majhail, Navneet S. , Shaw, Peter J. , Marks, David I. , Litzow, Mark R. , Inamoto, Yoshihiro , DeFilipp, Zachariah , Hildebrandt, Gerhard , Olsson, Richard F. , Kasow, Kimberly A. , Rotz, Seth J. , Badawy, Sherif M. , Bhatt, Neel S. , Page, Kristin , Arellano, Martha , Kent, Michael , Farhadfar, Nosha , Seo, Sachiko , Hematti, Peiman , Freytes, César O. , Ganguly, Siddhartha , Nathan, Sunita , Burns, Linda J. , Shaw, Bronwen E. , Muffly, Lori , Olsson, Richard F , Majhail, Navneet S , Badawy, Sherif M , Muffly, Lori , Bhatt, Neel S , Kim, Soyoung , Hematti, Peiman , Lee, Catherine J , Phelan, Rachel , Battiwalla, Minoo , Lazarus, Hillard M. , Chhabra, Saurabh , Liesveld, Jane L. , Yared, Jean A. , Rovó, Alicia

Blood Advances | March 13, 2020 | Volume: 4 | Issue: 6 | Pages: 983-992

10.1182/bloodadvances.2019001126 | PMID 32168378 Get It

Abstract There is marked paucity of data regarding late effects in adolescents and young adults (AYAs) who undergo myeloablative conditioning (MAC) allogeneic hematopoietic cell transplantation (HCT) for acute myeloid leukemia (AML). We evaluated late effects and survival in 826 1-year disease-free survivors of MAC HCT for AYA AML, with an additional focus on comparing late effects based upon MAC type (total body irradiation [TBI] vs high-dose chemotherapy only). The estimated 10-year cumulative incidence of subsequent neoplasms was 4% (95% confidence interval [CI], 2%-6%); 10-year cumulative incidence of nonmalignant late effects included gonadal dysfunction (10%; 95% CI, 8%-13%), cataracts (10%; 95% CI, 7%-13%), avascular necrosis (8%; 95% CI, 5%-10%), diabetes mellitus (5%; 95% CI, 3%-7%), and hypothyroidism (3%; 95% CI, 2%-5%). Receipt of TBI was independently associated with a higher risk of cataracts only (hazard ratio [HR], 4.98; P &lt; .0001) whereas chronic graft-versus-host disease (cGVHD) was associated with an increased risk of cataracts (HR, 3.22; P = .0006), avascular necrosis (HR, 2.49; P = .006), and diabetes mellitus (HR, 3.36; P = .03). Estimated 10-year overall survival and leukemia-free survival were 73% and 70%, respectively, and did not differ on the basis of conditioning type. In conclusion, late effects among survivors of MAC HCT for AYA AML are frequent and are more closely linked to cGVHD than type of conditioning.
Early change in 18-fluorodeoxyglucose (FDG) uptake on positron emission tomography (PET) to predict response to preoperative systemic therapy (PST) in HER2-negative primary operable breast cancer: Translational breast cancer research consortium (TBCRC008).
Connolly, Roisín M. , Leal, Jeffrey P. , Zhou, Xian , Mhlanga, Joyce , Jeter, Stacie C., Walsh, Bridget A. , Powers, Penny, Zorzi, Jane , Carpenter, John T., Storniolo, Anna Maria , Watkins, Stanley P., Fetting, John H., Khouri, Nagi F., Gabrielson, Edward , Goetz, Matthew P. , Zhang, Zhe , Zhou, Xian C, Walsh, Bridget, Miller, Robert S. , Sideras, Kostandinos , Wahl, Richard L. , Stearns, Vered

Journal of Clinical Oncology | March 11, 2020 | Volume: 30 | Issue: 15_suppl | Pages: 10509-10509

10.1200/jco.2012.30.15_suppl.10509 Get It

10509 Background: PST allows for improved surgical outcomes and response assessment without compromising long term outcomes. PST is an attractive model for assessing surrogate markers of response to therapy. We hypothesized that changes in tumor standardized uptake values corrected for lean body mass (SUL) max on FDG- PET by cycle 1 day 15 (C1D15) of therapy would predict pathological complete response (pCR) to PST in women with stage 2-3, grade 2-3, HER2-negative breast cancer. Methods: TBCRC008 is a multicenter placebo-controlled trial that investigates pCR following 12 weeks of preoperative carboplatin and albumin-bound paclitaxel with or without vorinostat. FDG-PET followed by tumor biopsies were performed at baseline and C1D15. We correlated % reduction in SULmax on FDG-PET (PERCIST 1.0; Wahl RL, J Nuc Med 2009) with pCR (no invasive cancer in breast/axilla). We compared % reduction in SULmax between responders (pCR) and non responders (no pCR) using nonparametric Wilcoxon rank sum test. We explored association of % reduction in SULmax at pre-specified cutoff with response using Fisher’s exact test and logistic regression. We correlated baseline, C1D15, and % change in Ki67 at C1D15 with pCR. Results: Accrual is complete. Of 62 women enrolled (10/2009-11/2011), 40 have completed study PST and surgery (median age 47.5 [range 30-68], ER-positive 67%). Overall pCR was 26%. In an intent to treat analysis (n=39), we observed a significant difference in median % reduction in SULmax between responders vs not (66.6% vs 32.4%, p <0.001). We observed a higher proportion of reduction in SULmax ≥ 60% in responders vs not (80% vs 3.5%, p <0.001). The differences in baseline, C1D15 and % change in Ki67 were not significant between responders and non-responders. Conclusions: Change in SULmax on FDG-PET 15 days after initiating PST was significantly greater in patients with pCR versus no pCR. Future studies will determine whether altering therapy based on early changes in SULmax will improve pCR. Unblinded data from all participants will be presented at the meeting.
Comorbidity and survival for patients with advanced-stage non-small cell lung cancer.
Pendergast, Jane , Fletcher, Robert H., Wallace, Robert B. , Chrischilles, Elizabeth A. , Hejleh, Taher Abu , Carter, Knute D. , Hálfdánarson, Þorvarður R.

Journal of Clinical Oncology | March 11, 2020 | Volume: 31 | Issue: 15_suppl | Pages: e19065-e19065

10.1200/jco.2013.31.15_suppl.e19065 Get It

e19065 Background: Treatment decisions for patients with advanced stage (stages IIIB and IV) non-small cell lung cancer (AS NSCLC) are influenced by comorbidity at time of diagnosis. We studied the effects of comorbidity on survival and whether effects differ for short-term (120 days) vs. for long-term (>120 days) survival. Methods: Data were from surveys and medical records of 1498 patients withnewly diagnosed AS NSCLC in the Cancer Care Outcomes Research and Surveillance Consortium (CanCORS). Respiratory disease severity and comorbidities at diagnosis were measured from the Adult Comorbidity Evaluation (ACE-27) index and model fitting used the Akaike Information Criteria. The log-rank test was used for univariable survival models, and Cox proportional hazards regression for multivariable survival models. Results: Five comorbidities were significantly associated with survival and 437 (29.2%) patients had one or more of these. Survival to 120 days was significantly poorer for patients with a baseline diagnosis of stroke [hazard ratio (HR) 1.92; 95% confidence interval (CI) 1.26–2.93], diabetes (HR 1.33, 95% CI 1.08–1.65), or congestive heart failure (HR 1.45, 95% CI 1.07–1.96), controlling for age, gender, smoking status, stage, severe respiratory disease, and brain metastases. Given survival to 120 days (885 pts, 59%), survival beyond that was significantly poorer only for patients with baseline arrhythmia (HR 1.47, 95% CI 1.15–1.87) or end stage renal disease (HR 1.82, 95% CI 1.09–3.04), controlling for the covariates above. Adjustment for chemotherapy use had no effect on these associations. Conclusions: Several comorbidities present at diagnosis affected survival for AS NSCLC, with some comorbidities having a more immediate relationship to survival than others. Our finding provides information that could be used to tailor treatment decisions to patients’ comorbidities at diagnosis.
Implications of generating genetic test results for colon cancer in the international, population-based colon cancer family registry.
Fisher, Douglass, Gorin, Sherri Sheinfeld , Schully, Sheri D. , Lowery, Jan T. , Ahnen, Dennis J. , Maskiell, Judith A, Lindor, Noralane M. , Burnett, Terrilea, Holter, Spring, Arnold, Julie, Gallinger, Steven , Laurino, Mercy , Esplen, Mary-Jane, Registry, Colon Cancer Family, Keogh, Louise Anne , Hopper, John L. , Sinicrope, Pamela S. , Registry, Colon Cancer Family

Journal of Clinical Oncology | March 11, 2020 | Volume: 30 | Issue: 15_suppl | Pages: 3567-3567

10.1200/jco.2012.30.15_suppl.3567 Get It

3567 Background: The ability to genotype large numbers of people rapidly and inexpensively for research purposes highlights the need to develop guidelines for providing medically-relevant research results - including unanticipated findings - to study participants. The Colon Cancer Family Registry (C-CFR) is the oldest and largest international colon cancer population-based registry; its experience managing genetic research findings can offer guidance to clinicians and researchers. The C-CFR has enrolled 10,019 cases with colon cancer and 24,708 family members in six registries in the US, Canada, Australia, and New Zealand. Deleterious (“high risk”) germline mutations have been identified in DNA mismatch repair (MMR) genes (MLH1, MSH2, MSH6, PMS2) and the MutYH gene. The aims of this presentation are to: (1) report the uptake of genetic test results by C-CFR participants; (2) systematically compare disclosure protocols and barriers to uptake by registry; (3) make recommendations to guide clinicians and researchers. Methods: Uptake of genetic test results was calculated from data collected by the C-CFR; key investigators (KIs) from each registry completed a survey about disclosure decision-making; KIs also took part in discussions to generate recommendations. Results: Registry-wide molecular testing has identified deleterious MMR germline mutations for at least one member of 424 families (4%) and 48 biallelic MutYH gene carriers. Uptake of test results ranged from 56-86% (n= 1542) across registries. Barriers to disclosure include: (1) lack of pre-existing notification protocols; (2) logistics of re-consent; (3) limited involvement of genetic counselors at some registries; (4) in the US, the requirement that genetic testing be performed in a CLIA approved laboratory; (5) IRBs declining approval; and (6) budget constraints. Conclusions: Based on our international registry’s findings we recommend that researchers generating genetic information establish plans for disclosure at the outset; obtain subject consent a priori; consider subject knowledge and disclosure preferences; provide guidance and budget for clinical follow-up; and involve genetic counselors.
Phase 1 first-in-human dose escalation study of cp-751,871, a specific monoclonal antibody against the insulin like growth factor 1 receptor
Lacy, M. , Alsina, Melissa , Melvin, C., Roberts, Luisa, Yin, D., Petersen, Jane, Birgin, Ann, Poutney, S., Sharma, A. , Yin, D., Petersen, J. F., Gualberto, Antonio

Journal of Clinical Oncology | March 9, 2020 | Volume: 24 | Issue: 18_suppl | Pages: 7609-7609

10.1200/jco.2006.24.18_suppl.7609 Get It

7609 Background: Multiple lines of evidence indicate that the Insulin Like Growth Factor 1 Receptor (IGF-1R) plays a key role in the progression of multiple myeloma (MM). IGF-1 is a growth factor for MM cells. It promotes survival to the cytotoxic effects of chemotherapy in animal models of MM and its blood levels has been shown to correlate with those of paraprotein in MM patients. CP-751,871, a fully human monoclonal antibody, is a highly specific and potent inhibitor of the autophosphorylation of IGF-1R. Methods: Based on its mechanism of action and the potential relevance of IGF-1R in MM, a Phase 1 First-in-Human dose escalation study was initiated with the objective to define the safety and tolerability, and to characterize the pharmacokinetic and pharmacodynamic properties of CP-751,871 in this patient population. Patient’s eligibility included previously treated multiple myeloma in relapse or refractory phase and/or less than complete remission following autologous stem cell transplant or tandem transplant. Results: Following informed consent and screening, 10 dose-escalation cohorts of patients received from 0.025 to 10 mg/kg of CP-751,871 by iv infusion on Day 1 of 4-week cycles. In patients with a suboptimal response to CP-751,871 alone, oral dexamethasone was added to the treatment regimen. Patients received up to 14 cycles of CP-751,871 therapy, alone or in combination with dexamethasone. No dose limiting toxicities have been identified to date. Plasma CP-751,871 exposure increases with dose, and the pharmacokinetic characteristics are consistent with target-mediated disposition. Pharmacodynamic measurements indicate complete target saturation by CP-751,871 for the complete length of the dosing period. One near CR and 2 PR in combination with dexamethasone have been reported. Conclusions: These data indicate that CP-751,871 is well tolerated and may constitute a therapeutic approach for patients with multiple myeloma. [Table: see text]
Prognostic significance of p53/p21 expression in DLBCL treated with CHOP or R-CHOP: A correlative study of E4494
Aurora, Vikas, Li, S., Horning, SJ, Variakojis, Daina, Nelson, Beverly P., Krajewska, Maryla, Fisher, R I, Gascoyne, R. D., Habermann, Thomas M. , Winter, Jane N.

Journal of Clinical Oncology | March 6, 2020 | Volume: 25 | Issue: 18_suppl | Pages: 8038-8038

10.1200/jco.2007.25.18_suppl.8038 Get It

8038 Background: P21 is a downstream effector protein of p53 that induces cell cycle arrest by inhibiting cyclin/cyclin dependent kinase (cdK) complexes. In this prospective correlative study, we investigated the prognostic significance of p21, p53, Bcl-6, and Bcl-2 in diffuse large B cell lymphoma (DLBCL) in the context of E4494, a randomized trial comparing conventional CHOP to rituximab(R)-CHOP induction, and maintenance R (MR) to observation for responding patients. Methods: Protein expression was quantified by immunohistochemical (IHC) staining of 198 DLBCL paraffin-embedded biopsy specimens and scored by an expert panel of hematopathologists. Results: No differences in the distribution of patient characteristics were detected between p21+ and p21- cases and between p53+ and p53- cases as well as across treatment arms. Among all study patients, there were no differences in clinical outcomes between p21+ and p21- cases. However, when analyzed by induction arm (removing the effect of MR), R-CHOP patients had marginally better FFS (p=0.06) if p21+; among CHOP-treated patients, p21 status had no effect on outcome. For R-CHOP patients but NOT CHOP patients, p21+ was an independent, favorable prognostic factor after adjusting for Bcl-6, IPI and Bcl-2 in multivariate analysis (FFS relative risk 0.3; p=0.003; OS relative risk 0.4; p=0.02). P21+ patients treated with R-CHOP had higher %FFS at 5 years compared to p21+ patients treated with CHOP (61 ± 7% vs. 24 ± 7%; p=0.007) but p21- R-CHOP and CHOP patients had similar FFS (37 ± 7% vs. 35 ± 7%; p=0.64). P53 staining (+ scored as either >20% or 50%) did not predict for FFS or OS in uni- or multivariate analyses. The p53+/p21- phenotype, a possible surrogate for mutated p53, was not prognostic. Further, no significant correlation was seen between p53 and p21 expression by IHC. Conclusions: These data suggest that p21 expression by IHC predicts for favorable outcome in older DLBCL patients treated with R-CHOP but not in those treated with CHOP. Furthermore, p21+ identifies patients who benefit from the addition of rituximab to CHOP. Complex interactions between p53, p21, and Bcl-6, as well as other unknown pathways, may account for this treatment-related effect and should be further investigated. [Table: see text]
Transcriptome‐wide association study of breast cancer risk by estrogen‐receptor status
Feng, Helian , Gusev, Alexander , Wu, Lang , Abu-Full, Zomoroda, Aittomäki, Kristiina, Andrulis, Irene L. , Antoniou, Antonis C. , Arason, Aðalgeir , Arndt, Volker , Aronson, Kristan J. , Asseryanis, Ella, Auer, Paul L. , Azzollini, Jacopo , Barkardóttir, Rósa B. , Barrowdale, Daniel , Beckmann, Matthias W. , Bermisheva, Marina , Białkowska, Katarzyna , Bogdanova, Natalia , Bojesen, Stig E. , Bolla, Manjeet K. , Borg, Åke , Brauch, Hiltrud , Brenner, Hermann , Brüning, Thomas , Burwinkel, Barbara , Caldés, Trinidad , Canisius, Sander , Campa, Daniele , Carter, Brian D., Castelao, Jose E. , Chang‐Claude, Jenny , Christiansen, Hans , Claes, Kathleen , Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Cox, Angela , Daly, Mary B., Leeneer, Kim De , Dörk, Thilo , Dwek, Miriam , Eccles, Diana M., Ejlertsen, Bent , Engel, Christoph , Fasching, Peter A. , Flyger, Henrik, Friedman, Eitan , Frost, Debra, Gabrielson, Marike , Ganz, Patricia A. , Gapstur, Susan M. , García‐Closas, Montserrat , Gaudet, Mia M. , Glendon, Gord , Goldberg, Mark S. , Goldgar, David E., González‐Neira, Anna , Greene, Mark H. , Guénel, Pascal , Haiman, Christopher A. , Hamann, Ute, Hake, Christopher R., He, Wei , Heyworth, Jane , Hogervorst, Frans B.L., Hooning, Maartje J. , Hoover, Robert N. , Hopper, John L. , Huang, Guanmengqian, Hulick, Peter J. , Humphreys, Keith , Imyanitov, Evgeny N., Investigators, ABCTB, Investigators, HEBON, Investigators, BCFR, Investigators, OCGN, Jakimovska, Milena , Jakubowska, Anna , James, Paul A. , Janavicius, Ramunas, Jankowitz, Rachel C. , John, Esther M. , Johnson, Nichola , Jung, Audrey , Kiiski, Johanna I. , Konstantopoulou, Irene , Kristensen, Vessela N. , Laitman, Yael , Lambrechts, Diether , Leroux, Dominique, Lester, Jenny, Lesueur, Fabienne , Lindor, Noralane M. , Lindström, Sara, Lo, Wing‐Yee, Loud, Jennifer T. , Makalic, Enes , Mannermaa, Arto, Manoochehri, Mehdi, Manoukian, Siranoush , Margolin, Sara , Matricardi, Laura , Maurer, Tabea, Mavroudis, Dimitrios, McGuffog, Lesley, Meindl, Alfons , Menon, Usha , Michailidou, Kyriaki , Kapoor, Pooja M., Montagna, Marco , Moreno, Fernando , Muranen, Taru , Nathanson, Katherine L. , Nevelsteen, Ines, Ņikitina-Zaķe, Liene , Offit, Kenneth, Oláh, Edith , Olopade, Olufunmilayo I. , Olsson, Håkan , Osório, Ana , Papp, J., Park‐Simon, Tjoung‐Won , Pedersen, Inge Søkilde , Peixoto, Ana , Peterlongo, Paolo , Peto, Julian , Phillips, Kelly‐Anne , Plaseska‐Karanfilska, Dijana , Poppe, Bruce , Pradhan, Nisha , Prajzendanc, Karolina , Punie, Kevin , Pylkäs, Katri , Rantala, Johanna, Rashid, Muhammad Usman , Rennert, Gad , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Santos, Catarina , Sawyer, Elinor J. , Schmutzler, Rita K., Schoemaker, Minouk J. , Scott, Rodney J. , Simard, Jacques , Skytte, Anne‐Bine , Soucy, Penny, Spinelli, John J. , Stone, Jennifer , Tapper, William , Taylor, Jack A. , Teixeira, Manuel R. , Terry, Mary Beth , Teulé, Àlex , Thomassen, Mads , Thöne, Kathrin , Thull, Darcy L. , Tollenaar, Rob A.�E.�M. , Torres, Diana , Vachon, Celine M. , Ouweland, Ans M.W. van den, Vega, Ana , Viel, Alessandra , Vieiro‐Balo, Paula, Wang, Qin , Wappenschmidt, Barbara , Weinberg, Clarice R. , Weitzel, Jeffrey N. , Wendt, Camilla, Winqvist, Robert , Yang, Xiaohong R., Easton, Douglas F. , Chenevix‐Trench, Georgia , Durocher, Francine , Eccles, Diana , Janavičius, Ramūnas , Khaw, Kay‐Tee , Lambrechts, Diether , Lindor, Noralane, Dörk, Thilo , Lambrechts, Diether , Hulick, Peter J , James, Paul , Lesueur, Fabienne , Peterlongo, Paolo , Rennert, Gad , Sandler, Dale P , Teixeira, Manuel R , Eccles, Diana , Menon, Usha , Vega, Ana , Weitzel, Jeffrey N , Claes, Kathleen B M , Azzollini, Jacopo , John, Esther M , Konstantopoulou, Irene , Matricardi, Laura , Olopade, Olufunmilayo I , Arndt, Volker , Jakubowska, Anna , Lambrechts, Diether , Brenner, Hermann , Cox, Angela , Guénel, Pascal , Muranen, Taru A , Romero, Atocha , Saloustros, Emmanouil , Torres, Diana , García-Closas, Montserrat , Makalic, Enes , Michailidou, Kyriaki , Bogdanova, Natalia V , Taylor, Jack A , Nathanson, Katherine L , Arason, Adalgeir , Barrowdale, Daniel , Engel, Christoph , Montagna, Marco , Viel, Alessandra , Simard, Jacques , Chenevix-Trench, Georgia , Jung, Audrey Y , Gabrielson, Marike , Stone, Jennifer , Pylkäs, Katri , Rashid, Muhammad U , De Leeneer, Kim , Manoukian, Siranoush , Bojesen, Stig E , Schoemaker, Minouk J , Weinberg, Clarice R , Phillips, Kelly-Anne , Terry, Mary Beth , Brauch, Hiltrud , Plaseska-Karanfilska, Dijana , Sawyer, Elinor J , Paşaniuc, Bogdan , Long, Jirong , Anton‐Culver, Hoda , Arun, Banu , Balmañà, Judith , Barnes, Daniel R. , Behrens, Sabine , Benı́tez, Javier , Blanco, Ana , Blomqvist, Carl , Boeckx, Bram , Bonanni, Bernardo , Borg, Åke , Briceño, Ignacio , Broeks, Annegien , Cai, Qiuyin , Caligo, Maria A. , Campbell, Ian , Carter, Jonathan , Chanock, Stephen Jacob , Chung, Wendy K. , Clarke, Christine L. , Collaborators, GEMO Study, Collaborators, EMBRACE, Collaborators, GC‐HBOC study, Couch, Fergus J. , Cross, Simon S. , Cybulski, Cezary , Czene, Kamila , Hoya, Miguel de la , Dennis, Joe , Devilee, Peter , Dı́ez, Orland , Domchek, Susan M. , dos‐Santos‐Silva, Isabel , Dunning, Alison M. , Ellberg, Carolina , Eriksson, Mikael , Fletcher, Olivia , Fostira, Florentia , Fritschi, Lin , Garber, Judy E. , García-Sáenz, José Á. , Giles, Graham G. , Godwin, Andrew K. , Goldgar, David E., Gronwald, Jacek , Hall, Per N , Hollestelle, Antoinette , Investigators, ABCTB, Investigators, HEBON, Investigators, BCFR, Investigators, OCGN, Isaacs, Claudine , Vijai, Joseph , Karlan, Beth Y. , Хуснутдинова, Э. К. , Lázaro, Conxi , Leslie, Goska , Lubiński, Jan , Mannermaa, Arto, Martens, John W.M. , Martı́nez, Marı́a Elena , Meindl, Alfons , Kapoor, Pooja M., Miller, Austin , Moserle, Lidia , Mulligan, Anna Marie , Neuhausen, Susan L. , Nevanlinna, Heli , Nielsen, Finn Cilius , Parsons, Michael T. , Pharoah, Paul D.P. , Presneau, Nadège , Radice, Paolo , Risch, Harvey A. , Robson, Mark E. , Schmidt, Marjanka K. , Schmidt, Daniel F. , Sharma, Priyanka , Shu, Xiao‐Ou , Singer, Christian F. , Southey, Melissa C. , Spurdle, Amanda B. , Swerdlow, Anthony J. , Tischkowitz, Marc D. , Toland, Amanda Ewart , Truong, Thérèse , Tung, Nadine , Vachon, Celine M. , Asperen, Christi J. van , Rensburg, Elizabeth J. van , Yannoukakos, Drakoulis , Ziogas, Argyrios , Milne, Roger L. , Zheng, Wei , Kraft, Peter , Jiang, Xia

Genetic Epidemiology | March 2, 2020 | Volume: 44 | Issue: 5 | Pages: 442-468

10.1002/gepi.22288 | PMID 32115800 Get It

AbstractPrevious transcriptome‐wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome‐wide association studies (GWAS), but analyses of breast cancer subtype‐specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta‐analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER−). We further compared associations with ER+ and ER− subtypes, using a case‐only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER– breast cancer. We further identified 30 TWAS‐significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast‐cancer gene in three of six regions harboring multiple TWAS‐significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER− breast cancer.