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156 citation(s) found for "Nanda, R".

A Midwest COVID-19 Cohort for the Evaluation of Multimorbidity and Adverse Outcomes from COVID-19
Nanda, S. , Toussaint, Loren , Vincent, Ann, Schroeder, Darrell R. , Chacin‐Suarez, Audry , Medina‐Inojosa, José R. , O’Horo, John C. , DeJesus, Ramona S. , Lebdeh, Haitham S. Abu, Iftikhar, Salma , Croghan, Ivana T. , Hurt, Ryan, Chacin Suarez, Audry S, Medina Inojosa, Jose R, O'Horo, John C, Abu Lebdeh, Haitham S, Croghan, Ivana T , Toussaint, Loren L , Medina-Inojosa, José R , O'Horo, John C , Schroeder, Darrell , Fischer, Karen M. , Hurt, Ryan T. , Mundi, Manpreet S. , Chacin Suarez, Audry S

Journal of Primary Care & Community Health | April 15, 2021 | Volume: 12 | Issue: No issue available | Pages: No page available

10.1177/21501327211010991 | PMID 33855875 Get It

Objective To describe the process and outcome of creating a patient cohort in the early stages of the COVID-19 pandemic in order to better understand the process of and predict the outcomes of COVID-19. Patients and Methods A total of 1169 adults aged 18 years of age or older who tested positive in Mayo Clinic Rochester or the Mayo Clinic Midwest Health System between January 1 and May 23 of 2020. Results Patients were on average 43.9 years of age and 50.7% were female. Most patients were white (69.0%), and Blacks (23.4%) and Asians (5.8%) were also represented in larger numbers. Hispanics represented 16.3% of the sample. Just under half of patients were married (48.4%). Common comorbid conditions included: cardiovascular diseases (25.1%), dyslipidemia (16.0%), diabetes mellitus (11.2%), chronic obstructive pulmonary disease (6.6%), asthma (7.5%), and cancer (5.1%). All other comorbid conditions were less the 5% in prevalence. Data on 3 comorbidity indices are also available including the: DHHS multi-morbidity score, Charlson Comorbidity Index, and Mayo Clinic COVID-19 Risk Factor Score. Conclusion In addition to managing the ever raging pandemic and growing death rates, it is equally important that we develop adequate resources for the investigation and understanding of COVID-19-related predictors and outcomes.
Abstract PD9-02: Personalized ctDNA as a predictive biomarker in high-risk early stage breast cancer (EBC) treated with neoadjuvant chemotherapy (NAC) with or without pembrolizumab (P)
Magbanua, Mark Jesus M. , Renner, Derrick , Shchegrova, Svetlana, Wu, Hsin-Ta, Kalashnikova, Ekaterina , Tin, Antony , Salari, Raheleh, Rodriguez, Angel , Aleshin, Alexey , Billings, Paul R. , Liu, Minetta C. , Nanda, Rita , Veer, Laura van ‘t , Investigators, I-SPY 2, Wolf, Denise M. , Swigart, Lamorna Brown , Yau, Christina , Hirst, Gillian L. , Delson, Amy , Yee, Douglas , DeMichele, Angela , Zimmermann, Bernhard G , Sethi, Himanshu , Esserman, Laura J. , Veer, Laura J. van’t , Investigators, I-SPY 2

Cancer Research | February 15, 2021 | Volume: 81 | Issue: 4_Supplement | Pages: PD9-02-PD9-02

10.1158/1538-7445.sabcs20-pd9-02 Get It

Abstract Background: In the I-SPY 2 TRIAL, the addition of P to standard NAC resulted in more than doubling of the pathologic complete response (pCR) rates for both hormone receptor-positive (HR+)/HER2- and triple-negative (TN) early breast cancer (EBC) patients (pts) compared to NAC only (Nanda et al, JAMA Oncol, 2020). At 3 years, distant recurrence-free survival (DRFS) rates in pts with pCR following NAC+P was >95%. We hypothesized that ctDNA can serve as a predictive biomarker of response and survival in pts treated with NAC. Methods: A personalized ctDNA test (Signatera) was performed on 511 serial plasma samples from 138 pts with high-risk HR+/HER2- (n=77) or TN (n=61) stage II/III EBC. Pts received P with paclitaxel (Tx) followed by AC (P arm, n=42) or standard NAC only (n=96), an exploratory subset of pts evaluated for P efficacy. Plasma was collected; pretreatment (T0), 3 weeks after treatment initiation (T1), between Tx+/-P and AC regimens (T2), and prior to surgery (T3). ctDNA was deemed positive with a minimum of 2 of the pt specific tumor mutation fragments detected in cfDNA. Association of ctDNA with response and survival was analyzed using logistic and Cox regressions with pCR and DRFS as endpoints. Median follow-up was 2.8 years. Results: Detection of ctDNA decreased over time (P arm: T0-81%, T1-50%, T2-19%, T3-3%) and NAC only: T0-82%, T1-65%, T2-26%, T3-10%). ctDNA data at T0 and T1 was available for 96% (132/138) of pts in P arm or NAC only (Table). Among ctDNA+ patients at baseline, clearance at T1 was significantly associated with pCR (OR=1.92, ctDNA+/-; OR=0.27, ctDNA+/+; LR p<0.001). This association remained significant after adjustment for HR status and treatment (LR p<0.001) and P arm or NAC only (P: LR p=0.03; NAC: LR p=0.01). ctDNA data at T0, T1, and T2 was available for 86% (118/138) pts. (Table). Among all ctDNA+ pts at baseline, dynamics through T2 was associated with pCR (OR=1.44, ctDNA+/-/-; OR=0.33, ctDNA+/+/-, OR=0.12, ctDNA+/+/+; LR p=0.0011). This association remained significant when adjusted for HR status and treatment (LR p<0.001). Analysis within individual treatments showed significant association for NAC (LR p=0.040) and a non-significant trend in NAC+P (LR p=0.063), likely due to smaller sample size. All pts who achieved pCR were ctDNA- at T3 (n=34). Among those who failed to achieve pCR (n=81), DRFS was significantly better in ctDNA- (n=72/81; 20 in P and 52 in NAC) versus ctDNA+ pts (n=9/81; 1 in P and 8 in NAC) (adjusted HR 0.13; 95% CI 0.05-0.37). Conclusions: These exploratory results align with our previous findings that early clearance of ctDNA during NAC treatment was significantly associated with increased likelihood of achieving pCR. Additionally, we show that ctDNA clearance can be an early surrogate marker for therapy response assessment. Residual ctDNA after neoadjuvant treatment was a significant predictor of metastatic recurrence and death. Personalized monitoring of ctDNA during the course of NAC is feasible and provides information that can be combined with imaging and pathology, and may help to optimize decision making for de-escalation or escalation of therapy. Larger studies are ongoing. ctDNA dynamics and pCRctDNA status at T0 and T1 (n=132)ctDNA status at T0, T1, and T2 (n=118)ctDNA-/-ctDNA+/-ctDNA+/+ctDNA-/-/-ctDNA+/-/-ctDNA+/+/-ctDNA+/+/+Total, n (%)24 (18)28 (21)80 (61)22 (19)24 (20)43 (36)27 (23)pCR, n (%)9 (38)15 (54)11 (14)9 (41)12 (50)8 (19)2 (7)No pCR, n (%)15 (63)13 (46)69 (86)13 (59)12 (50)35 (81)25 (93) Citation Format: Mark Jesus M Magbanua, Denise Wolf, Derrick Renner, Svetlana Shchegrova, Lamorna Brown Swigart, Christina Yau, Gillian Hirst, Hsin-Ta Wu, Ekaterina Kalashnikova, Antony Tin, Amy Delson, Douglas Yee, Angela DeMichele, Raheleh Salari, Angel Rodriguez, Bernhard Zimmermann, Himanshu Sethi, Alexey Aleshin, Paul Billings, Laura Esserman, Minetta Liu, Rita Nanda, Laura van ‘t Veer, I-SPY 2 Investigators. Personalized ctDNA as a predictive biomarker in high-risk early stage breast cancer (EBC) treated with neoadjuvant chemotherapy (NAC) with or without pembrolizumab (P) [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD9-02.
Abstract PD1-10: Evaluation of SGN-LIV1a followed by AC in high-risk HER2 negative stage II/III breast cancer: Results from the I-SPY 2 TRIAL
Beckwith, Heather , Schwab, Richard J. , Stringer-Reasor, Erica , Wei, Shi , Chien, A. Jo , Albain, Kathy S. , Clark, Amy S. , Han, Heather, Nanda, Rita, Sanft, Tara , Perlmutter, Jane , Melisko, Michelle , Veer, Laura J. van’t , Wilson, Amy , Asare, Smita , Sanil, Ashish, Berry, Donald A. , Schwab, Richard, Yau, Christina , Kalinsky, Kevin M. , Wallace, Anne M. , Elias, Anthony , Yee, Douglas , Boughey, Judy C. , Isaacs, Claudine , Mitri, Zahi Ibrahim , Lang, Julie E. , Thomas, Alexandra , DeMichele, Angela , Rugo, Hope S. , Hylton, Nola M. , Symmans, W. Fraser , Esserman, Laura J.

Cancer Research | February 15, 2021 | Volume: 81 | Issue: 4_Supplement | Pages: PD1-10-PD1-10

10.1158/1538-7445.sabcs20-pd1-10 Get It

Abstract Background: I-SPY 2 is a multicenter, phase 2 trial using response-adaptive randomization within molecular subtypes defined by receptor status and MammaPrint (MP) risk to evaluate novel agents as neoadjuvant therapy for women with high-risk stage II/III breast cancer. The primary endpoint is pathologic complete response (pCR, ypT0/Tis ypN0). SGN-LIV1A is an investigational antibody drug conjugate consisting of an antibody to LIV1A, a zinc transporter highly prevalent in breast cancer, and a highly potent microtubule inhibitor, monomethyl auristatin E. Retrospective IHC analysis of LIV1A expression levels amongst tumor samples from 100 previous ISPY-2 patients showed 88% of breast tumor samples with moderate to high expression of LIV1A (Yau, C. et al SABCS 2018).Methods: Women with tumors ≥ 2.5cm were eligible for screening. Only HER2 negative (HER2-) patients were eligible for this treatment, hormone-receptor positive (HR+) patients had to have MP high molecular profile. Treatment included SGN-LIV1A 2.5 mg/kg (max dose 250 mg) every 3 weeks x 4, followed by doxorubicin/cyclophosphamide (AC) every 2-3 weeks x 4. The control arm was weekly paclitaxel x 12 followed by AC every 2-3 weeks x 4. All patients undergo serial MR imaging where response at 3 & 12 weeks combined with accumulating pCR data are used to estimate, and continuously update, predicted pCR rate for the trial arm. Analysis set was modified intention to treat with patients who switched to non-protocol therapy counted as non-pCR and not as their pCR status at time of surgery. The goal is to identify/graduate regimens with ≥85% Bayesian predictive probability of success (i.e. demonstrating superiority to control) in a future 300-patient phase 3 neoadjuvant trial with a pCR endpoint within signatures defined by HR & HER2 status & MP result. This investigational arm was eligible for graduation in 3 of 10 pre-defined signatures: HER2-, HR+HER2- and HR-HER2-. Regimens may also leave the trial for futility (< 10% probability of success), maximum sample size accrual (10% < probability of success <85%), maximum time in trial (2 years) or for safety as recommended by the independent DSMB. Results: Sixty patients were randomized and evaluable to SGN-LIV1A. The study arm was stopped due to reaching the predetermined time limit for patient accrual of 2 yrs. Final estimated pCR rates are below. The estimated pCR rates were similar between the SGN-LIV1A and control arms for any tumor subtype. Preliminary safety events for SGN-LIV1A include increased rates of transaminitis and hyperglycemia and reduced rates of peripheral neuropathy compared to control. One patient was removed from the analysis as she was determined to have angiosarcoma of the breast. Notably, this patient had a dramatic early response and subsequent pCR to SGN-LIV1A treatment. Conclusion: The value of I-SPY 2 is to give insight about the performance of an investigational agent’s likelihood of achieving pCR. SGN-LIV1A delivered every 3 weeks was comparable to paclitaxel for the primary endpoint of pCR in I-SPY2 and may have a similar side effect profile, however, with less peripheral neuropathy. Clinical trials evaluating weekly dosing of SGN-LIV1A are ongoing. A trial of SGN-LIV1A in the treatment of angiosarcoma is under consideration at this time. Final Estimated pCR Rates and Predictive ProbabilitiesEstimated pCR rate(95% prob interval)SignatureSGN-LIV1AControlProbability SGNLIV1A Superior to ControlPredictive Probability of Success in Phase 3HER2-0.16 (0.08-0.24) N= 600.20 (0.16-0.25) N= 3270.180.02HR-/HER2-0.25 (0.12-0.37) N=360.28 (0.21-0.35) N=1460.310.06HR+/HER2-0.09 (0-0.18) N=240.14 (0.09-0.19) N=1810.150.03 Citation Format: Heather Beckwith, Richard Schwab, Christina Yau, Erica Stringer-Reasor, Shi Wei, A. Jo Chien, Kathy S Albain, Kevin Kalinsky, Anne Wallace, Anthony Elias, Douglas Yee, Amy S Clark, Judy C Boughey, Heather Han, Rita Nanda, Claudine Isaacs, Zahi Mitri, Julie E Lang, Alexandra Thomas, Tara Sanft, Angela DeMichele, Jane Perlmutter, Hope S Rugo, Nola M Hylton, W. Fraser Symmans, Michelle E Melisko, Laura J van't Veer, I-SPY 2 Consortium, Amy Wilson, Smita M Asare, Ashish Sanil, Donald A Berry, Laura J Esserman. Evaluation of SGN-LIV1a followed by AC in high-risk HER2 negative stage II/III breast cancer: Results from the I-SPY 2 TRIAL [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD1-10.
Abstract OT-13-09: Translational breast cancer research consortium 044 trial: Randomized phase 2 study of pembrolizumab and carboplatin versus carboplatin alone for chest wall recurrence of breast cancer
Vidula, Neelima , Nanda, Rita , Emens, Leisha A. , Liu, Minetta C. , Goga, Andrei , Miller, Kathy D. , Pohlmann, Paula R. , Abramson, Vandana G. , Park, Ben Ho , Rugo, Hope S.

Cancer Research | February 15, 2021 | Volume: 81 | Issue: 4_Supplement | Pages: OT-13-09-OT-13-09

10.1158/1538-7445.sabcs20-ot-13-09 Get It

Abstract Background: Chest wall recurrence may occur in up to 30% of patients with breast cancer, and is associated with a high morbidity and mortality. We hypothesized that immunotherapy may be beneficial in this setting because of the inflammatory nature of this disease, and the association of chest wall disease with lymphovascular invasion. Combination immunotherapy and chemotherapy may have a synergistic effect. In this study, we combined pembrolizumab, an anti-programmed cell death 1 (PD-1) antibody with carboplatin, in patients with chest wall disease. This combination has previously been shown to be effective in advanced lung cancer. Trial design: This is a 2:1 randomized phase II study of pembrolizumab and carboplatin (Arm A) versus carboplatin alone (Arm B) in patients with chest wall involvement from breast cancer. Pembrolizumab is dosed at 200 mg IV every 3 weeks, and carboplatin is dosed at AUC 5 IV every 3 weeks. Patients on Arm A have the option to continue on pembrolizumab alone after 6 cycles of combination treatment (Arm Ax). Patients on Arm B have the option to cross-over to pembrolizumab (+/- carboplatin) after 6 cycles of carboplatin alone (Arm Bx). Patients with HER2 positive disease may continue trastuzumab in addition to the study treatment. Patients undergo chest wall biopsies and peripheral blood collection for correlative studies at enrollment and after 2 cycles of treatment, and also imaging with CT chest, abdomen, and pelvis, and bone scan every 3 cycles. Eligibility criteria: Patients must have chest wall involvement from breast cancer, with or without distant metastases. Patients may have triple-negative breast cancer, hormone receptor positive, HER2- disease (after two prior lines of hormone therapy), or refractory HER2 positive disease. Patients may have received any number of lines of prior chemotherapy. A prior platinum is allowed as long as there was not disease progression on this agent. Specific Aims: 1. (Primary aim) Disease control rate in the chest wall and other distant sites at 18 weeks of treatment using RECIST 1.1 criteria, 2. progression-free survival, 3. toxicity, 4. response based on tumor PD-L1 expression, and 5. response based on irRECIST. Exploratory aims include evaluating: 1. Soluble PD-L1 expression, 2. changes in tumor and peripheral blood immune composition, 3. peripheral blood circulating tumor cells, 4. peripheral blood cell-free DNA, and 5. the association of MYC with PD-1 and TIM-3 on tumor cells, based on preclinical data to suggest that MYC may upregulate these inflammatory markers. Statistical Methods: 84 patients (56 in Arm A and 28 in Arm B) are being enrolled at 7 sites in the Translational Breast Cancer Research Consortium. The study is powered to determine a 20% difference in disease control rates between arms (HR 0.52, α= 0.10, ß=0.20). A futility analysis was originally planned to occur for Arm B after 18 patients are enrolled, but a subsequent amendment has enabled an earlier assessment after 14 patients were enrolled. Accrual: Present accrual is 40 patients. (NCT03095352). This trial is funded in part by Merck and a Development Program Grant from the University of California San Francisco. Contact information: Neelima Vidula, MD, Massachusetts General Hospital, nvidula@mgh.harvard.edu Citation Format: Neelima Vidula, Rita Nanda, Kathy Miller, Paula Pohlmann, Vandana Abramson, Leisha A. Emens, Ben H. Park, Minetta C. Liu, Andrei Goga, Hope S. Rugo. Translational breast cancer research consortium 044 trial: Randomized phase 2 study of pembrolizumab and carboplatin versus carboplatin alone for chest wall recurrence of breast cancer [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr OT-13-09.
Oral Vancomycin, Ursodeoxycholic Acid, or No Therapy for Pediatric Primary Sclerosing Cholangitis: A Matched Analysis
Deneau, Mark , Mack, Cara L. , Mogul, Douglas , Perito, Emily R. , Valentino, Pamela L. , DiGuglielmo, Matthew, Draijer, Laura G. , El‐Matary, Wael , Furuya, Katryn N. , Gupta, Nitika , Hochberg, Jessica T. , Horslen, Simon , Jensen, M. Kyle , Jonas, Maureen M. , Kerkar, Nanda , Koot, Bart G.P. , Laborda, Trevor J., Martínez, Mercedes , Miethke, Alexander , Miloh, Tamir , Ovchinsky, Nadia , Rao, Girish S. , Ricciuto, Amanda , Sathya, Pushpa , Schwarz, Kathleen B. , Shah, Uzma , Vitola, Bernadette , Zizzo, Andréanne N. , Guthery, Stephen L., Deneau, Mark R , Martinez, Mercedes , Mohammad, Saeed , Ricciuto, Amanda , Zizzo, Andréanne , Valentino, Pamela , Amir, Achiya , Lee, Christine Kyuyoung , Loomes, Kathleen M. , Singh, Ruchi

Hepatology | September 18, 2020 | Volume: 73 | Issue: 3 | Pages: 1061-1073

10.1002/hep.31560 | PMID 32946600 Get It

Background and Aims Many children with primary sclerosing cholangitis (PSC) receive oral vancomycin therapy (OVT) or ursodeoxycholic acid (UDCA). There is a paucity of data on whether these medications improve outcomes. Approach and Results We analyzed retrospective data from the Pediatric PSC Consortium. Children treated with OVT were matched 1:1:1 to those treated with UDCA or managed with observation (no treatment) based on the closest propensity score, ensuring similar baseline characteristics. Two hundred sixty‐four patients (88 each with OVT, UDCA, or observation) had matching propensity scores and were similar in demographics, phenotype, immunosuppression, baseline biochemistry, and hepatic fibrosis. After 1 year in an intention‐to‐treat analysis, all outcome metrics were similar regardless of treatment group. In OVT, UDCA, and untreated groups, respectively: Gamma‐glutamyltransferase normalized in 53%, 49%, and 52% (P = not significant [NS]), liver fibrosis stage was improved in 20%, 13%, and 18% and worsened in 11%, 29%, and 18% (P = NS), and the 5‐year probability of liver transplant listing was 21%, 10%, and 12% (P = NS). Favorable outcome was associated with having a mild phenotype of PSC and minimal hepatic fibrosis. Conclusions We presented the largest‐ever description of outcomes on OVT in PSC and compared them to carefully matched patients on UDCA or no therapy. Neither OVT nor UDCA showed improvement in outcomes compared to a strategy of observation. Patients progressed to end‐stage liver disease at similar rates. Spontaneous normalization of biochemistry is common in children receiving no therapy, particularly in the majority of children with a mild phenotype and an early stage of disease. Placebo‐controlled treatment trials are needed to identify effective treatments for pediatric PSC.
Abstract CT011: Evaluation of durvalumab in combination with olaparib and paclitaxel in high-risk HER2 negative stage II/III breast cancer: Results from the I-SPY 2 TRIAL
Haddad, Tufia C. , Stringer-Reasor, Erica , Chien, A. Jo , Borges, Virginia, Nanda, Rita , Albain, Kathy S. , Müller, Aixa , Kemmer, Kathleen, Clark, Amy S. , Perlmutter, Jane , Melisko, Michelle , Schwab, Richard B. , Wilson, Amy , Singhrao, Ruby , Asare, Smita , Veer, Laura J. van’t , Sanil, Ashish, Berry, Donald A. , Pusztai, Lajos , Han, Hyo S , Yau, Christina , Wolf, Denise M. , Wallace, Anne M. , Shatsky, Rebecca , Helsten, Teresa L. , Boughey, Judy C. , Falkson, Carla I. , Mukhtar, Rita A. , Elias, Anthony , Yee, Douglas , Kalinsky, Kevin M. , Isaacs, Claudine , Thomas, Alexandra , Hylton, Nola M. , Symmans, W. Fraser , Rugo, Hope S. , DeMichele, Angela , Esserman, Laura J.

Cancer Research | September 4, 2020 | Volume: 80 | Issue: 16_Supplement | Pages: CT011-CT011

10.1158/1538-7445.am2020-ct011 Get It

Abstract Background: I-SPY2 is a multicenter, phase 2 trial using response-adaptive randomization within molecular subtypes defined by receptor status and MammaPrint risk to evaluate novel agents as neoadjuvant therapy for breast cancer. The primary endpoint is pathologic complete response (pCR, ypT0/is ypN0)). DNA repair deficiency in cancer cells can lead to immunogenic neoantigens, activation of the STING pathway, and PARP inhibition can also upregulate PD-L1 expression. Based on these rationales we tested the combination of durvalumab (anti-PDL1), olaparib (PARP inhibitor) and paclitaxel in I-SPY2. Methods: Women with tumors ≥ 2.5 cm were eligible for screening. Only HER2 negative (HER2-) patients were eligible for this treatment, hormone receptor positive (HR+) patients had to have MammaPrint high molecular profile. Treatment included durvalumab 1500 mg every 4 weeks x 3, olaparib 100 mg twice daily through weeks 1-11 concurrent with paclitaxel 80 mg/m2 weekly x 12 (DOP) followed by doxorubicin/cyclophosphamide (AC) x 4. The control arm was weekly paclitaxel x 12 followed by AC x 4. All patients undergo serial MRI imaging and imaging response at 3 & 12 weeks combined with accumulating pCR data are used to estimate, and continuously update, predicted pCR rate for the trial arm. Regimens “graduation with success” when the Bayesian predictive probability of success in a 300-patient phase 3 neoadjuvant trial in the appropriate biomarker groups reaches > 85%. Results: A total of 73 patients received DOP treatment including 21 HR- tumors (i.e. triple-negative breast cancer, TNBC) and 52 HR+ tumors between May 2018 - June 2019. The control group included 299 patients with HER2- tumors. The DOP arm graduated in June 2019, 13 months after enrollment had started, for all HER2- negative and the HR+/HER2- cohorts with > 0.85% predictive probabilities of success. 72 patient completed surgery and evaluable for pCR, the final predicted probabilities of success in a future phase III trial to demonstrate higher pCR rate with DOP compared to control are 81% for all HER2- cancers (estimated pCR rate 37%), 80% for TNBC (estimated pCR rate 47%) and 74.5% for HR+/HER2- patients (estimated pCR rate 28%). Association between pCR and germline BRCA status and immune gene expression including PDL1 will be presented at the meeting. No unexpected toxicities were seen, but 10 patients (14%) had possibly immune or olaparib related grade 2/3 AEs (3 pneumonitis, 2 adrenal insufficiency, 1 colitis, 1 pancreatitis, 2 elevated LFT, 1 skin toxicity, 2 hypothyroidism, 1 hyperthyroidism, 1 esophagitis). Conclusion: I-SPY2 demonstrated a significant improvement in pCR with durvalumab and olaparib included with paclitaxel compared to chemotherapy alone in women with stage II/III high-risk, HER2-negative breast cancer, improvement was seen in both the HR+ and TNBC subsets. Citation Format: Lajos Pusztai, Hyo S. Han, Christina Yau, Denise Wolf, Anne M. Wallace, Rebecca Shatsky, Teresa Helsten, Judy C. Boughey, Tufia Haddad, Erica Stringer-Reasor, Carla Falkson, A. Jo Chien, Rita Mukhtar, Anthony Elias, Borges Virginia, Rita Nanda, Douglas Yee, Kevin Kalinsky, Kathy S. Albain, Aixa Soyano Muller, Kathleen Kemmer, Amy S. Clark, Claudine Isaacs, Alexandra Thomas, Nola Hylton, W. Fraser Symmans, Jane Perlmutter, Michelle Melisko, Hope S. Rugo, Richard Schwab, Amy Wilson, Amy Wilson, Ruby Singhrao, Smita Asare, Laura J. van't Veer, Angela M. DeMichele, Ashish Sanil, Donald A. Berry, Laura J. Esserman, Trial Consortium I-SPY 2. Evaluation of durvalumab in combination with olaparib and paclitaxel in high-risk HER2 negative stage II/III breast cancer: Results from the I-SPY 2 TRIAL [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr CT011.
The Comparison of Segmental Multifrequency Bioelectrical Impedance Analysis and Dual‐Energy X‐ray Absorptiometry for Estimating Fat Free Mass and Percentage Body Fat in an Ambulatory Population
Ebbert, Jon O. , Croghan, Ivana T. , Nanda, S. , Schroeder, Darrell R. , Teigen, Levi , Velapati, Saketh R. , Mundi, Manpreet S. , Hurt, Ryan T. , Croghan, Ivana, Teigen, Levi M , Velapati, Saketh , Mundi, Manpreet S , Schroeder, Darrell

Journal of Parenteral and Enteral Nutrition | August 14, 2020 | Volume: 45 | Issue: 6 | Pages: 1231-1238

10.1002/jpen.1994 | PMID 32794583 Get It

AbstractBackgroundDespite malnutrition being associated with increased mortality and morbidity, there continues to be great difficulty in defining criteria and implementing widespread screening. Tools used to diagnose decreased fat‐free mass (FFM [sarcopenia]) should be easy to use, relatively inexpensive, and safe. Bioelectrical impedance analysis (BIA) has the potential to meet these criteria, but reliability across body mass index (BMI) classes is a concern.MethodsA total of 176 healthy ambulatory participants (aged 18–65 years) were recruited equally (n = 44) in 4 BMI categories: (1) 18.5–24.9, (2) 25.0–29.9, (3) 30–34.9, and (4) ≥35.0. Participants were fasting overnight and had S‐MFBIA (InBody 770) measurements the next morning, with DXA being performed subsequently within 30 minutes.ResultsThe measurement (mean ± SD) for FFM with DXA was 52.8 ± 11.0, and BIA was 53.6 ± 11.0. Delta (S‐MFBIA vs DXA) was 0.8 ± 2.2 (5% limits of agreement −3.5 to +5.2), and concordance correlation coefficient (CCC) was 0.98 (95% CI, 0.97–0.98). The measurements (mean ± SD) for PBF with DXA was 37.5 ± 10.6% and S‐MFBIA was 36.6 ± 11.3%. Delta (S‐MFBIA vs DXA) was −0.9 ± 2.6 (5% limits of agreement 6.0 to +4.2), and CCC was 0.97 (95% CI, 0.96–0.98). The CCC according to the 4 BMI groups for FFM and PBF was between 0.96–0.98 and 0.90–0.94, respectively.ConclusionsFFM and PBF measured by S‐MFBIA had good agreement with DXA across all BMI categories measured in the current study of ambulatory participants.
Association of Event-Free and Distant Recurrence–Free Survival With Individual-Level Pathologic Complete Response in Neoadjuvant Treatment of Stages 2 and 3 Breast Cancer
Yee, Douglas , Symmans, W. Fraser , Albain, Kathy S. , Chen, Yunn-Yi, Krings, Gregor , Wei, Shi , Harada, Shuko , Datnow, Brian, Fadare, Oluwole , Klein, Molly, Chen, Beiyun, Adamson, Kathi, Sams, Sharon B. , Mhawech‐Fauceglia, Paulette , Magliocco, Anthony M., Feldman, Mike, Rendi, Mara H. , Sattar, Husain, Zeck, Jay , Ocal, Idris Tolgay, Tawfik, Ossama , LeBeau, Lauren, Sahoo, Sunati , Vinh, Tuyethoa N., Chien, A. Jo , Forero‐Torres, Andres , Stringer-Reasor, Erica , Ellis, Erin D. , Lu, Janice , Lang, Julie E. , Clark, Amy S. , Nanda, Rita , Northfelt, Donald W. , Khan, Qamar J. , Viscusi, Rebecca K., Euhus, David , Edmiston, Kirsten K., Kemmer, Kathleen, Park, John W., Liu, Minetta C. , Olopade, Olufunmilayo I. , Leyland‐Jones, Brian , Tripathy, Debasish , Moulder, Stacy L. , Schwab, Richard B. , Lo, Shelly S. , Beckwith, Heather , Haugen, Patricia, Veer, Laura J. van’t , Perlmutter, Jane , Melisko, Michelle , Wilson, Amy , Peterson, Garry , Buxton, Meredith , Paoloni, Melissa, Clennell, Julia L. , Hirst, Gillian L. , Singhrao, Ruby , Steeg, Katherine, Matthews, Jeffrey B. , Asare, Smita , Sanil, Ashish, Esserman, Laura J. , Berry, Donald A. , Tripathy, Debu , Ocal, Idris T, Olopade, Olufunmilayo I , Symmans, W Fraser , Esserman, Laura J , Hirst, Gillian L , Yee, Douglas , DeMichele, Angela , Yau, Christina , Isaacs, Claudine , Chen, Yunn‐Yi , Krings, Gregor, Pambuccian, Stefan E. , Wallace, Anne M. , Pusztai, Lajos , Boughey, Judy C. , Elias, Anthony , Han, Hyo S , Chui, Stephen Y., Rugo, Hope S. , Helsten, Teresa L. , Hylton, Nola M. , Asare, Adam L. , Matthews, Jeffrey B., Berry, Scott

JAMA Oncology | July 23, 2020 | Volume: 6 | Issue: 9 | Pages: 1355

10.1001/jamaoncol.2020.2535 | PMID 32701140 Get It

Immunosuppressive Treatment Regimens in Autoimmune Hepatitis: Systematic Reviews and Meta‐Analyses Supporting American Association for the Study of Liver Diseases Guidelines
Kerkar, Nanda , Czaja, Albert J. , Mack, Cara L. , Adams, David , Assis, David N. , Manns, Michael P. , Mayo, Marlyn J. , Nayfeh, Tarek , Majzoub, Abdul M., Alzuabi, Muayad , Ding, Jingyi , Haffar, Samir , Alsawas, Mouaz , Adams, David , Majzoub, Abdul Mounaem M, Alzuabi, Muayad A, Nayfeh, Tarek , Alsawas, Mouaz , Vierling, John M., Murad, M. Hassan

Hepatology | June 5, 2020 | Volume: 72 | Issue: 2 | Pages: 753-769

10.1002/hep.31407 | PMID 32500593 Get It

Immunotherapy and chemotherapy combination for chest wall disease: TBCRC 044 trial.
Vidula, Neelima , Nanda, Rita , Emens, Leisha A. , Liu, Minetta C. , Goga, Andrei , Miller, Kathy D. , Pohlmann, Paula R. , Abramson, Vandana G. , Park, Ben Ho , Rugo, Hope S.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: TPS1114-TPS1114

10.1200/jco.2020.38.15_suppl.tps1114 Get It

TPS1114 Background: Immunotherapy combined with chemotherapy is being studied in metastatic breast cancer, and may have durable outcomes. Chest wall recurrence represents a difficult to treat subtype of breast cancer with a poor prognosis, with lymphovascular invasion in the primary tumor a significant risk factor. Given the inflammatory nature of this disease and the association of programmed cell death 1 (PD-1) expression with lymphovascular invasion, we hypothesized that the combination of pembrolizumab, an anti-PD-1 antibody, with carboplatin may be effective as treatment for breast cancer chest wall recurrences. Methods: This randomized phase II study is enrolling 84 patients with breast cancer involving the chest wall, who may also have distant metastases. Patients receive treatment with pembrolizumab 200 mg and carboplatin AUC 5 every 3 weeks for 6 cycles (Arm A, n = 56) followed by maintenance pembrolizumab +/- carboplatin (Arm Ax), or carboplatin AUC 5 every 3 weeks for 6 cycles (Arm B, n = 28) with an option to cross-over to pembrolizumab +/- carboplatin on progression (Arm Bx). Patients with all disease subtypes, triple-negative, hormone receptor positive/HER2- after 2 prior lines of hormone therapy, and HER2+ disease (with the option to continue trastuzumab) are eligible, with no limit on the number of prior therapies. Prior platinum chemotherapy is allowed in the absence of overt disease progression. Patients undergo clinical assessment with every cycle of treatment including chest wall photography, scans (CT chest, abdomen, and pelvis) every 2 cycles, and have peripheral blood and chest wall biopsies collected at baseline and the start of cycle 3 for correlative studies. The primary endpoint is the disease control rate in the chest wall and distant sites at 18 weeks of treatment based on RECIST 1.1. The study is powered to determine a 20% difference in disease control between arms (hazard ratio 0.52, α = 0.10, β = 0.20). Additional endpoints include response by tumor programmed death ligand 1 (PD-L1) status and irRECIST, progression-free survival, and toxicity. Chest wall tumor samples will be analyzed for changes in tumor immune composition, and PD-L1 and MYC oncogene expression, based on preclinical data to suggest that PD-L1 may be upregulated by MYC. Peripheral blood samples will be evaluated for changes in PD-L1 expression, cell-free DNA, and circulating tumor cells with treatment. The study is enrolling patients at 7 sites within the Translational Breast Cancer Research Consortium (TBCRC), with current enrollment of 38/84 patients. Clinical trial information: NCT03095352 .