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1557 citation(s) found for "Wu, Fred".

Trial Design and Objectives for Patients With Prostate Cancer: Recommendations From the Prostate Cancer Working Group 4
Armstrong, Andrew J., Morris, M., Abida, Wassim , Aggarwal, Rahul R., Antonarakis, Emmanuel S., Attard, Gerhardt , Beltran, Himisha, Bryce, Alan H. , Carducci, Michael A. , Cheng, Heather H., Dahut, William L. , Emmett, Louise , Fizazi, Karim, Gafita, Andrei, George, Daniel J., Hermann, Ken, Hofman, Michael S., Hope, MD Thomas A., Hussain, Maha, Kelly, W. Kevin, Kuo, Phillip H. , Liu, Glenn X., Morgans, Alicia K., McKay, Rana R., Nanus, David, Nelson, P., Reichert, Zachery R. , Ryan, Charles J. , Sartor, A. Oliver, Schwartz, Lawrence H., Sharifi, Nima , Stadler, Walter M., Stein, M., Sternberg, Cora N., Szmulewitz, Russell Z., Tagawa, Scott T., Sokolova, Alexandra O., Wyatt, Alex, Yu, Evan Y., Halabi, S., Scher, Howard I., Group, for the PCWG4 Writing, Alumkal, Joshi J. , Aparicio, Ana, Barata, Pedro C., Drake, Charles G., Hamid, Anis , Heath, Elisabeth I. , Nauseef, Jones, Lage, Daniel E. , Mallak, Nadine , Patnaik, Akash, Prepelica, Kristofer, Rowe, Steven P., Slovin, Susan F. , Taplin, Mary‐Ellen , Zorko, Nicholas, Carducci, Michael A. , Halabi, Susan , Cheng, Heather H. , Antonarakis, Emmanuel S. , Morris, Michael J. , Armstrong, Andrew J. , Nauseef, Jones T. , Antonarakis, Emmanuel S. , Zorko, Nicholas A. , Armstrong, Andrew J , Morris, Michael J , Aggarwal, Rahul , Antonarakis, Emmanuel S , Beltran, Himisha , Bryce, Alan H , Cheng, Heather H , Chen, Delphine L , Chi, Kim N , Childs, Daniel S , Dahut, William , Emmett, Louise , Fizazi, Karim , Gafita, Andrei , George, Daniel J , Hermann, Ken , Hofman, Michael S , Hope, Thomas A , Hussain, Maha H A , Kelly, W Kevin , Kessler, Elizabeth , Lang, Joshua M , Liu, Glenn , Marshall, Catherine H , Morgans, Alicia K , McKay, Rana R , Nelson, Peter S , Paller, Channing J , Reichert, Zachery R , Sartor, A Oliver , Schöder, Heiko , Sharifi, Nima , Stadler, Walter M , Stein, Mark , Sternberg, Cora N , Szmulewitz, Russell Z , Tagawa, Scott T , Sokolova, Alexandra O , Wyatt, Alexander , Yamoah, Kosj , Yu, Evan Y , Halabi, Susan , Antonarakis, Emmanuel S , Zorko, Nicholas A , Nauseef, Jones T , N., Kim , Childs, Daniel S. , Fizazi, Karim , Gafita, Andrei , George, Daniel J. , Hofman, Michael S. , Lang, Joshua M. , Liu, Glenn , Marshall, Catherine H. , Morgans, Alicia K. , McKay, Rana R. , Paller, Channing J. , Sartor, Oliver , Schöder, Heiko , Schwartz, Lawrence H., Stadler, Walter M. , Tagawa, Scott T. , Scher, Howard I. , Aparicio, Ana, Barata, Pedro C. , Drake, Charles G. , Graff, Julie Nicole , Patnaik, Akash , Rathkopf, Dana E , Rettig, Matthew B.

Journal of Clinical Oncology | February 26, 2026 | Volume: 44 | Issue: 13 | Pages: 1249-1265

10.1200/jco-25-02834 | PMID 41744290 Get It

PURPOSE The continuous development of new imaging approaches, molecular phenotyping, genetic subtypes, prognosis assessments, and effective therapies across a range of disease states has created a need to redefine terminology and best practices for clinical trial conduct in patients with advanced prostate cancer. Methods We convened an international expert committee of diverse working groups, the Prostate Cancer Working Group 4 (PCWG4), between 2016 and 2025. Our objective was to formulate updated criteria based on emerging evidence and clinical trial data in a biomarker context to provide guidance for clinical trial design, eligibility, and end point assessments for patients with advanced prostate cancer. RESULTS PCWG4 redefines terminology around the disease state and previous therapies in a patient-centric context and terminology focused on androgen pathway modulation. We consider imaging, with a particular focus on positron emission tomography (PET)–defined disease. New recommendations are provided for disease state terminology, defining eligibility criteria, response and delay/prevent end points, intervals for reassessments including imaging, and patient-reported outcome determination. We provide recommendations in a biomarker-based context of use for the intended indication, reflective of patient benefit for specific interventions. We emphasize the need for development of validated PET imaging and molecular and phenotypic criteria as well as trial designs to appropriately risk stratify patients, predict and assess benefit, and measure post-treatment outcomes reliably in a trial framework. CONCLUSION PCWG4 updates recommendations on patient and tumor characterization, therapy development, and imaging criteria and extends guidance into earlier androgen pathway modulator–naïve/sensitive disease states to reflect an evolving, heterogeneous, and diverse patient population to optimize treatment benefits for all patients.
Early mortality with bispecific antibody therapy in RRMM: an IMWG immunotherapy database real-world analysis
Tan, Carlyn Rose, Usmani, Saad Z., Derkach, Andriy , Corraes, Andre De Menezes Silva, Parrondo, Ricardo , Ailawadhi, S., Asoori, Sireesha, Dave, Mrugakshi, Popat, Rakesh, Morjaria, Oliver, Hajek, Roman , Htut, Myo , Kastritis, Efstathios, Dimopoulos, M A, Martínez-López, Joaquín, Nagarajan, Chandramouli, Bal, Susan, Costa, Luciano J., Einsele, Hermann, Steinbrunn, Torsten, Riedhammer, Christine , Banerjee, Rahul, Chng, Wee Joo, Tso, Allison CY, Lin, Yi, Martin, Tom, Mian, Hira, Martínez‐López, Joaquín , Mian, Hira , Tan, Carlyn R , de Meneze Silva Corraes, Andre, Mihalyova, Jana , Visram, Alissa , Kastritis, Efstathios , Martinez-Lopez, Joaquin , Nagarajan, Chandramouli , Bal, Susan , Costa, Luciano J , Waldschmidt, Johannes M , Banerjee, Rahul , Tso, Allison , Martin, Thomas , Mian, Hira , Parrondo, Ricardo D , Derkach, Andriy , Usmani, Saad Z. , Corraes, Andre De Menezes Silva , Ailawadhi, Sikander , Popat, Rakesh , Hájek, Roman , Janakiram, Murali , Visram, Alissa , Kastritis, Efstathios , Dimopoulos, Meletios Α. , Nagarajan, Chandramouli , Bal, Susan , Costa, Luciano J. , Steinbrunn, Torsten , Banerjee, Rahul , Chng, Wee Joo

Blood Advances | February 24, 2026 | Volume: 10 | Issue: 9 | Pages: 2937-2946

10.1182/bloodadvances.2025019231 | PMID 41734378 Get It

Abstract Recent therapeutic advances, including bispecific antibodies (bsAbs), have improved outcomes for patients with relapsed/refractory multiple myeloma (RRMM). However, early mortality (EM) remains a significant challenge, even in the era of novel immunotherapies. We conducted a multicenter, retrospective analysis of real-world patients with RRMM treated with commercial bsAbs to evaluate the incidence and causes of EM. Between May 2022 and June 2025, a total of 441 patients were treated across 7 countries. EM, defined as death within 12 months of therapy initiation, occurred in 148 patients (34%), with a median time from bsAb initiation to death of 2.87 months (interquartile range, 1.38-6.85). The leading cause of EM was progressive disease (72%), followed by infection (13%); regardless of the cause of death, 82% had active disease at the time of death. Our findings highlight that despite encouraging efficacy, EM remains high among real-world bsAb recipients, emphasizing the need for improved disease control strategies and supportive care interventions.
Validation of longitudinal biomarker screening algorithms for HCC detection in patients with cirrhosis
Singal, Amit G., Marrero, Jorge, Parikh, Neehar D. , Lok, Anna S., Lopez, Camden, Page-Lester, Stephanie, Roberts, Lewis R., Reddy, Rajender, Luster, Michelle, Khaderi, Saira, El-Serag, Hashem B., Kanwal, Fasiha, Ziding, Feng, Tayob, Nabihah, Roberts, Lewis R. , Roberts, Lewis R , Parikh, Neehar D , Singal, Amit G. , Jin, Qingchun , Lok, Anna S. , Asrani, Sumeet K. , El‐Serag, Hashem B. , Kanwal, Fasiha

Hepatology Communications | February 23, 2026 | Volume: 10 | Issue: 3 | Pages: No page available

10.1097/hc9.0000000000000902 | PMID 41730232 Get It

Background: Blood-based biomarker panels, including GALAD, have been proposed as an alternative to abdominal ultrasound for hepatocellular carcinoma (HCC) surveillance. Studies suggest longitudinal evaluation of biomarkers can improve test performance; however, no large studies have validated these findings. Methods: We leveraged the HCC Early Detection Strategy (HEDS) study (n=1019 patients with cirrhosis; 99 incident HCC) and Texas HCC Consortium (THCCC) (n=2345 patients with cirrhosis; 126 incident HCC) to compare the performance of fixed-threshold GALAD (cutoff of −1.36), and 4 longitudinal algorithms: longitudinal GALAD, PALAD, mFB-ALAD, and mPEB-ALAD. The HEDS cohort was used to derive longitudinal algorithms, and external validation was performed in THCCC. Patient-level sensitivity and test-level false-positive rate (FPR) were examined overall and across subgroups by age, sex, and cirrhosis etiology. Results: In THCCC, fixed-threshold GALAD had higher sensitivity in the 6 months before HCC diagnosis (71.4%, 95% CI: 62.9%–81.7%) than longitudinal GALAD (55.1%, 95% CI: 49.3–66.4), PALAD (55.1%, 95% CI: 50.0%–70.5%), mPEB-ALAD (53.1%, 95% CI: 43.6%–62.0%), and mFB-ALAD (42.9%, 95% CI: 32.3–48.5). However, fixed-threshold GALAD had a higher FPR (25.4%, 95% CI: 23.7%–26.9%) compared with longitudinal GALAD (15.0%, 95% CI: 12.8%–15.8%), PALAD (13.0%, 95% CI: 10.2%–14.6%), and mFB-ALAD (11.2%, 95% CI: 9.6%–12.1%) but comparable to mPEB-ALAD (22.9%, 95% CI: 21.2%–23.8%). In subgroup analyses, fixed-threshold GALAD had the highest FPR in males (35.6%) and those aged ≥65 (43.5%); longitudinal algorithms had significantly lower FPRs in subgroups but with lower sensitivity for HCC. Conclusions: Improvements in FPRs with longitudinal GALAD algorithms, as compared with fixed-threshold GALAD, are offset by significantly decreased sensitivity for HCC detection.
Abstract PS2-07-17: Characterizing circulating tumor cell (CTC) enumeration and phenotypic profiling in blood with synchronously obtained tissue in metastatic breast cancer (MBC) in TBCRC /AURORA US
Giridhar, K. V., Nenad, W. C., Ye, H., Wheeler, G. L., Hinoue, T., Michmerhuizen, A. R., Felsheim, B. M., Chandran, U. R., Kelly, B. J., Mardis, E. R., Laird, P. W., Balko, J. M., Garrido-Castro, A. C., Coppens, Sara E. , Bowen, J., Nanda, R., Lin, N. U., Anders, C. K., Isaacs, C., Tao, J. J., Anampa, J. D., Jahan, N., Huppert, L., DeMichele, A., Park, B. H., Vinayak, Shaveta , Delson, A. L., Magbanua, M. M., Balic, M., Parsons, H. A., Lee, A. V., Carey, L. A., Norton, Larrw, Wolff, A. C., Davidson, N. E., Krop, I., King, T. A., Perou, C. M., Hoadley, K. A., Network, Aurora US Metastases, Giridhar, K. V., Wheeler, G. L., Hinoue, T., Michmerhuizen, Anna R. , Felsheim, Brooke , Kelly, B. J., Mardis, E. R., Laird, P. W., Balko, J. M., Garrido-Castro, Ana C. , Nanda, Rita , Lin, N. U., Anders, Carey K. , Isaacs, Claudine , Anampa, J. D., Jahan, N., Huppert, L. A., DeMichele, Angie, Park, B. H., Delson, A. L., Magbanua, MJM, Balic, M., Parsons, H. A., Lee, A. V., Wolff, Antonio C , Davidson, N. E., Krop, Ian E. , King, T. A., Perou, Charles M. , Hoadley, K.A., Network, AURORA US

Clinical Cancer Research | February 20, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS2-07-17-PS2-07-17

10.1158/1557-3265.sabcs25-ps2-07-17 Get It

Abstract Background: In MBC, CTC enumeration is highly prognostic for both progression free survival (PFS) and overall survival (OS). Multiparametric technologies enable for expanded phenotypic profiling of CTCs, including ER and HER2 assessment. Limited information is available on the concordance of CTC ER and HER2 levels compared to synchronously obtained tissue. We assessed the prognostic performance of CTC enumeration and phenotypic profiling of ER and HER2 on CTCs. Methods: The prospective, multi-institutional Aurora study enrolled pts with MBC of any subtype either at diagnosis of metastatic disease or at time of progression on any line of systemic therapy. Pts underwent a metastatic site biopsy, consented to archival primary tissue collection and donated blood samples serially every 3-4 months until progression. CTCs, from blood collected at study entry, were identified as nucleated, EpCAM+/ cytokeratin+/ CD45- cells using an automated imaging system (RareCyte, Seattle). ER and HER2 expression levels were measured by mean fluorescence intensity (MFI), with thresholds above 80 (ER) and 160 (HER2) considered positive. Comparisons were made to total RNAseq from paired metastatic tissue biopsies. PFS and OS were calculated from the time of study entry to last follow up or death. Results: Baseline CTC enumeration was performed in 154 pts. The most common clinical subtype was HR+/HER2- (59.7%), followed by HER2-positive (16.8%) and TNBC (15.5%). The median lines of prior therapy were 1 (range 0-10). At least 1 CTC was identified in 68/154 pts (44%), 30 (19%) had ≥ 5 CTCs, and 15 (9.7%) had CTC clusters. The median CTC value was 0 (0-877). The presence of CTCs (≥1 or ≥5) and CTC clusters was adversely associated with PFS and OS (Table 1 Table 1. CTC survival analyses Number Median PFS PFS HR (95% CI) Median OS OS HR (95% CI) Presence of CTC 0 CTC 86 7.37 (0.03 - 43.1) reference 20.72 (0.03 - 50.6) reference ≥ 1 CTC 68 4.7 (0.43 - 19.5) 1.65 (1.16-2.36) 12.04. (0.43-44.1) 2.13 (1.44-3.16) Presence of ≥ 5 CTC <5 CTC 124 7.7 (0.03 - 43.1) reference 19.31 (0.03 - 50.6) reference ≥ 5 CTC 30 2.88 (0.43 - 18.7) 1.77 (1.15 - 2.71) 5.74 (0.43 - 29.3) 3.59 (2.26-5.70) Presence of clusters 0 clusters 139 7.37 (0.03 - 43.1) reference 18.06 (0.03 - 50.6) reference ≥ 1 cluster 15 1.91 (0.43 - 18.7) 2.06 (1.16 - 3.68) 3.42 (0.43 - 18.7) 5.44 (2.94-10.09) ). Across all subtypes, the median CTC ER-MFI across was 36.2 (range 4.2-10,016.6) and the median HER2-MFI was 139.6 (range 4.2-2480.5). We observed high intra-patient heterogeneity of ER-MFI (CV: 0.65 [0.34-1.25]) and HER2-MFI (CV: 0.79 [0.42-1.54]). Clinical metastatic subtype from metastasis at study entry was available in 54/68 pts with CTCs. Pts with clinical ER+ MBC had a higher median ER-MFI compared to clinical TNBC (111.9 vs 68.6, p = 0.02). However, 11 pts (26.8%) with clinical ER+ MBC had all CTCs with an ER-MFI <80. Lower ER expression was observed in CTCs collected after prior exposure to a SERD (median ER-MFI: post-SERD [n=8] 27 vs post-aromatase inhibitor [n=4] 252, p<2.22e-16). No correlations were observed between the median CTC ER-MFI or HER2-MFI and paired tissue ESR1 or ERBB2 RNA expression (n=66). Conclusions: CTCs are strongly predictive of PFS and OS. CTC ER- and HER2-MFI were highly heterogeneous without clear correlation with bulk tissue RNA expression. The clinical impact of discordant clinical receptor status and CTC receptor status warrants further exploration. Citation Format: K. V. Giridhar, W. C. Nenad, H. Ye, G. L. Wheeler, T. Hinoue, A. R. Michmerhuizen, B. M. Felsheim, U. R. Chandran, B. J. Kelly, E. R. Mardis, P. W. Laird, J. M. Balko, A. C. Garrido-Castro, S. Coppens, J. Bowen, R. Nanda, N. U. Lin, C. K. Anders, C. Isaacs, J. J. Tao, J. D. Anampa, N. Jahan, L. Huppert, A. DeMichele, B. H. Park, S. Vinayak, A. L. Delson, M. M. Magbanua, M. Balic, H. A. Parsons, A. V. Lee, L. A. Carey, L. Norton, A. C. Wolff, N. E. Davidson, I. Krop, T. A. King, C. M. Perou, K. A. Hoadley, Aurora US Metastases Network. Characterizing circulating tumor cell (CTC) enumeration and phenotypic profiling in blood with synchronously obtained tissue in metastatic breast cancer (MBC) in TBCRC /AURORA US [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS2-07-17.
Differential effects of two common GVHD prophylaxis regimens on the gut microbiome: Results from the BMT CTN 1801 study
Wirbel, Jakob , Saber, Wael, Andermann, Tessa M, Fei, Teng , Brooks, Erin F. , Doyle, Boryana , Pincus, Nathan B. , Bar, Merav , Bolaños-Meade, Javier, Chhabra, Saurabh, Choi, Sung Won , Clark, William, Elmariah, Hany, Jones, Richard J. , Jp, Levine, Logan, Brent R, Malki, Monzr M Al, Rashidi, Armin, Rezvani, Andrew R. , Riches, Marcie L., Runaas, Lyndsey, Sandhu, Karamjeet , Spahn, Ashley, Horowitz, MM, Hamadani, Mehdi, Kean, Leslie S. , Perales, Miguel-Angel, Bhatt, Ami S. , Choi, Sung Won , Elmariah, Hany , Andermann, Tessa M. , Saber, Wael , Martens, Michael J , Peled, Jonathan U , Andermann, Tessa M , Fei, Teng , Brooks, Erin F , Doyle, Boryana , Pincus, Nathan B , Jenq, Robert R , Bar, Merav , Bratrude, Brandi , Chhabra, Saurabh , Elmariah, Hany , Gooptu, Mahasweta , Holtan, Shernan , Al Malki, Monzr M , Murthy, Hemant S , Rashidi, Armin , Rezvani, Andrew R , Sung, Anthony D , van den Brink, Marcel R M , Kean, Leslie S , Perales, Miguel-Angel , Bhatt, Ami S , Choi, Sung Won , Saber, Wael , Martens, Michael J. , Peled, Jonathan U. , Jenq, Robert R. , Bolaños‐Meade, Javier , Clark, William, Das, Suman R. , Holtan, Shernan G. , Logan, Brent R. , Malki, Monzr M. Al , Murthy, Hemant S. , Rashidi, Armin , Riches, Marcie , Sung, Anthony D. , Hamadani, Mehdi , Perales, Miguel‐Angel

No container title available | February 20, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.02.19.706769 | PMID 41756883 Get It

Abstract Allogeneic hematopoietic cell transplantation (allo-HCT) is a potentially curative treatment for many hematological malignancies, but graft-versus-host disease (GVHD) is a common complication. Low gut microbiome diversity is associated with higher GVHD risk and shorter survival in multiple studies. Recently, the BMT CTN 1703 clinical trial demonstrated superiority of a GVHD-prophylaxis regimen including post-transplant cyclophosphamide (PTCy) compared to the standard prophylaxis (tacrolimus and methotrexate, Tac/MTX) in terms of GVHD-free, relapse-free survival at one year among reduced intensity conditioning allo-HCT recipients. However, the effect of PTCy on the gut microbiome and its association with clinical outcome have not been described. Here, we report on a companion randomized clinical controlled trial (BMT CTN 1801), which collected 2575 longitudinal stool samples from 304 study participants. Samples were obtained up to weekly up to day 84 post allo-HCT and at less frequent intervals thereafter, up to 2 years. Microbiome diversity and absolute microbial load were lower in the PTCy group compared to the Tac/MTX group on days 14–28 post-HCT. However, diversity at the timepoint closest to neutrophil engraftment was not significantly associated with non-relapse mortality after one year or other clinical outcomes, contrary to expectations from previous studies. Microbial domination events, when a single species exceeds 30% relative abundance, were comparable across treatment arms and reflected both pathogen blooms as well as less severe disruptions of the microbial community. Clostridium scindens and secondary bile acid metabolism pathways were less prevalent in the PTCy arm than in the Tac/MTX arm post-HCT, yet presence of secondary bile acid metabolism pathways was associated with a lower risk of chronic GVHD. Given that PTCy was associated with a greater disruption of the microbiome as measured by diversity, absolute microbial abundance, and bile acid metabolism capability, but better clinical outcomes overall, these data suggest that the importance of the microbiome in modulating the host immune systems after allo-HCT is specific to different types of GVHD prophylaxis.
Deriving wisdom from data: The value and continued rationale for structured data in the era of artificial intelligence–driven oncology care
Emamekhoo, Hamid, Riaz, Irbaz, Martin, Daniel B., Gabriel, Peter E. , Bruckner, Lauren B. , Arafat, Waddah, Fu, Penelope, Liebovitz, David , Stillman, Robert C. , Stapp, Robert T, Perkins, Randa M., Sugalski, Jessica , Heinrichs, Tricia , Tevaarwerk, Amye J., Gabriel, Peter , Emamekhoo, Hamid , Emamekhoo, Hamid , Stillman, Robert C , Heinrichs, Tricia , Tevaarwerk, Amye J , Shah, Neil J , Arafat, Waddah , Freimuth, Robert R. , Stapp, Robert , Perkins, Randa, Tevaarwerk, Amyé

Cancer | February 17, 2026 | Volume: 132 | Issue: 4 | Pages: No page available

10.1002/cncr.70307 | PMID 41701629 Get It

Abstract The adoption of electronic health records (EHRs) has transformed health care, improving efficiency and chart accessibility. However, the widespread reliance on unstructured data entry and the lack of standardized documentation frameworks have resulted in significant data fragmentation across health care systems. The prevalence of unstructured data in EHRs limits their potential for clinical decision support, trial matching, real‐world evidence (RWE) generation, and quality measurement. Data fragmentation in health care triggers a cascade of challenges that ultimately compromise patient care. Clinicians face an excessive documentation burden and struggle to locate critical information buried in unstructured notes. Researchers encounter difficulties in extracting reliable clinical data. EHR vendors grapple with standardizing unstructured information for interoperability, and payers are unable to process unstructured clinical data efficiently to support value‐based care models. These challenges are particularly acute in oncology, where complex clinical elements like cancer staging, disease status, and treatment changes require precise, structured documentation. Emerging artificial intelligence (AI) technologies, such as large language models (LLMs) and ambient listening, offer a path to automate structured data generation while reducing the workload on providers. Here, the authors propose LLM‐based workflows that balance automation with clinician verification, streamlining data entry without compromising accuracy. Realizing these benefits requires coordinated efforts among clinicians, researchers, EHR vendors, payers, and policymakers to align regulatory frameworks with AI‐driven innovations. This article outlines a strategy to enhance structured data capture within EHRs, ultimately improving patient care, research, and health care efficiency.
Abstract RF3-04: Tumor-informed circulating tumor DNA analysis to assess molecular residual disease for prognosis and prediction of benefit from palbociclib in the PALLAS trial
Parsons, H. A., Ballman, K., Heitzer, E., Watson, M., Balic, M., Renner, Derrick , Kalashnikova, E., Steger, G., Balko, J. M., Martín, M., Rodriguez, A. A., Dayao, Zoneddy , Chan, A., Gal-Yam, E. Nili, Liu, M. C., Isaacs, C., Los, Maartje, Gil, M. Gil, Felder, B., Denkert, C., Fasching, P. A., Liu, F., O'Donnell, T V, Mayer, E. L., Gnant, M., Symmans, W. F., DeMichele, A. M., Parsons, H. A., Ballman, K., Heitzer, Ellen , Hlauschek, Dominik , Kalashnikova, E. , Steger, G.G., Novik, Yelena , Rodriguez, A., Chan, Arlene , Gal‐Yam, Einav Nili , Liu, M. C., Isaacs, Claudine , Los, Maartje , Fasching, Peter A , O'Donnell, T., Gnant, Michael , Symmans, W. Fraser , DeMichele, Angela

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: RF3-04-RF3-04

10.1158/1557-3265.sabcs25-rf3-04 Get It

Abstract Background: PALLAS (PALbociclib CoLlaborative Adjuvant Study, NCT02513394) is a randomized phase III trial comparing two years of the CDK4/6 inhibitor palbociclib combined with the physician’s choice of adjuvant endocrine therapy, versus endocrine therapy alone for patients with Stage II-III hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer. Molecular residual disease (MRD) detection via circulating tumor DNA (ctDNA) testing was a predefined biomarker analysis to identify patients at highest risk of recurrence. Methods: PALLAS participants with available tumor block, at least a baseline (pre-study treatment) plasma sample, and either whole blood or buffy coat were randomly selected from the overall study population. Plasma samples on cycle 1 day 1 (C1D1), cycle 6 day 1 (C6D1), and at the end of treatment (EOT) were collected, processed, and stored. Nucleic acids were extracted from primary tumor tissue or, when primary tissue was insufficient, from post-neoadjuvant tumor tissue, provided the sample had sufficient material and tumor cellularity (>25 mm2 tissue area with ≥20% tumor nuclei). Data from next generation sequencing of tumor tissue and matched normal DNA were used to create a personalized ctDNA SignateraTM assay (Natera, Inc.) for MRD assessment in the peripheral blood. ctDNA was reported as mean tumor molecules/mL (MTM/mL) of plasma. The primary endpoint was distant recurrence-free interval (DRFI) based on ctDNA status. Cox Proportional Hazards models were used to evaluate prognosis and predictive interactions. To minimize bias, the biorepository and laboratory teams were blinded to participant identity. Results: In total, 1280 participants were randomly selected for inclusion in this preplanned ctDNA sub-study. WES and WGS are being conducted on tissue, and Signatera results will be generated. Results for association of MRD status (positive/negative) and MTM/mL with DRFI in the context of 7 year median follow up of this study cohort will be reported. Conclusions: The planned analysis is ongoing and the presented work will provide data from the first randomized phase 3 adjuvant study in HR+/HER2- breast cancer to report MRD status by treatment arm. Citation Format: H. A. Parsons, K. Ballman, E. Heitzer, M. Watson, M. Balic, D. Hlauschek, D. Renner, E. Kalashnikova, G. Steger, J. M. Balko, Y. Novik, M. Martin, A. A. Rodriguez, Z. Dayao, A. Chan, E. Nili Gal-Yam, M. C. Liu, C. Isaacs, M. Los, M. Gil Gil, B. Felder, C. Denkert, P. Fasching, F. Liu, T. O'Donnell, E. L. Mayer, M. Gnant, W. F. Symmans, A. DeMichele. Tumor-informed circulating tumor DNA analysis to assess molecular residual disease for prognosis and prediction of benefit from palbociclib in the PALLAS trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF3-04.
Abstract RF5-02: Tbcrc 056: a phase 2 study of neoadjuvant niraparib with dostarlimab for patients with BRCA- or PALB2-mutated breast cancer: results from the TNBC cohorts
Mayer, E. L., Leon-Ferre, R. A., Rozenblit, M., Santa-Maria, C. A., Isakoff, S., Specht, J. M., Tung, NM, Abramson, V., Desrosiers, Jennifer, Schubert, Adrian , Koca, Beyza , Tolaney, S. M., Winer, E. P., Krop, I. E., Wolff, A. C., Shapiro, G. I., Tayob, Nabihah, Guerriero, J. L., Graham, Noah , Leon‐Ferre, Roberto A. , Rozenblit, M., Santa-Maria, C.A., Specht, Jennifer M. , Tung, Nadine , Abramson, V., Schubert, A., Tolaney, Sara M. , Winer, E. P., Krop, I. E., Wolff, A.

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: RF5-02-RF5-02

10.1158/1557-3265.sabcs25-rf5-02 Get It

Abstract Background PARP inhibitors (PARPi) are active in patients (pts) with germline BRCA1/2 or PALB2 mutated (gBRCA1/2; gPALB2m) breast cancer (BC). Preclinical data suggest PARPi leads to intratumoral activation of the proinflammatory cGAS/STING pathway, recruiting CD8+ T cells, and sensitizing gBRCAm cancers to immune-targeted therapy. Prolonged preoperative treatment with PARPi monotherapy has demonstrated notable pathologic complete response (pCR) rates. The randomized phase II TBCRC 056 study evaluates the PARPi niraparib (N) with the anti-PD-1 antibody dostarlimab (D) as neoadjuvant treatment of gBRCAm or gPALB2mHER2-negative BC, with cohorts for both triple negative BC (TNBC, Arms A and B) and estrogen receptor positive (ER+) BC (Arm C). Results from Arms A and B are being presented. Methods Eligible pts (gBRCA1/2m/gPALB2m BC, T >1.0 cm, ER- (<10%), HER2-) were randomized to either Arm A: upfront combination N 200 mg orally QD and D 500 mg IV every 3 weeks (wks) for 18 wks (1 cycle = 3 wks), or Arm B: N monotherapy for 3 wks, followed by combination N plus D for 15 wks, with baseline (BL) and wk 3 tumor biopsies. After 18 wks, pts either underwent surgery or received additional preoperative systemic therapy (per MD choice) after an end of treatment biopsy if residual disease present. The primary study objectives are to evaluate pCR in Arms A and B combined, as well as change in stromal tumor infiltrating lymphocytes (sTILs) from BL to 3 wks in each Arm separately; 46 pts and a target pCR rate of 50% provides 85% power to reject the null hypothesis of pCR < 30%. Results A total of 46 pts with TNBC enrolled to Arms A and B (38 gBRCA1m (82.6%), 8 gBRCA2m (17.4%), 0 gPALB2m). Median age was 39.3 years (range 24.8-72.8); 84.8% self-reported White, 6.5% Black, 4.3% Asian, and 8.7% Hispanic. Clinical stage distribution was 37.0% stage I, 45.7% stage II, and 17.4% stage III; most had ER- BC (42 ER <1%, and 4 ER 1-10%). Among all pts, 38 (82.6%) completed the target number of cycles of D, with mean cycles received 5.1. Five pts discontinued D early (3 inadequate response/progression, 2 unacceptable AE: LFTs, rash). A total of 38 pts (82.6%) completed 6 cycles of N, with mean cycles received 5.7. Seven pts discontinued N early (3 inadequate response/progression, 4 unacceptable AE: LFTs, anemia, rash (2)). Most common AEs (> grade 2) with D+N were anemia (26.1%), fatigue (21.7%), hypertension (15.2%), hypothyroidism (15.2%), and neutropenia (15.2%). Most common Grade >3 AEs with D+N were anemia (17%) and neutropenia (6.5%). Among all pts, 23 (50%) had a pCR at surgery (90% CI 37.1% - 62.9%), 12 (26.1%) had residual disease (4 RCB-I, 5 RCB-II, 2 RCB-III, 1 RCB not calculable), and 11 (23.9%) crossed over to additional preoperative therapy. The pCR rate exceeded the protocol efficacy criterion of >43%, a significant increase over null hypothesis. pCR rates were the same on Arms A (50%, 90% CI 31.1% - 68.9%) and B (50%, 90% CI 31.9% - 68.1%). Among 15 pts on Arm A with evaluable sTILs at BL and 3 wks, mean sTILs at BL was 16% (range 1% - 40%), and at 3 wks was 27.4% (range 0.5% - 60%), for an average increase of 11.4% (p=0.009). Among 22 pts on Arm B with evaluable sTILs at BL and 3 wks, mean sTILs at BL was 19.5% (range 1% - 75%), and at 3 wks was 42.1% (range 1% - 85%), for an average increase of 22.7% (p=0.0003). Among all pts, BL sTILs (continuous) were significantly higher among those who achieved pCR than those who did not (median 15% vs. 5%, p=0.03). There was no relationship between pCR and BL PD-L1 score, or pCR and ER-0 vs. ER-low. Conclusions In pts with gBRCAm early TNBC, 18 wks of targeted therapy using PARPi and anti-PD1 agents, with or without 3-week PARPi lead-in, resulted in a pCR rate of 50%, and a statistically significant increase in sTILs from BL to 3 wks. Further ongoing correlative work may identify best candidates for this non-chemotherapy-based approach. Citation Format: E. L. Mayer, N. Graham, R. A. Leon-Ferre, M. Rozenblit, C. A. Santa-Maria, S. Isakoff, J. Specht, N. Tung, V. Abramson, J. Desrosiers, A. Schubert, B. Koca, S. M. Tolaney, E. P. Winer, I. E. Krop, A. C. Wolff, G. I. Shapiro, N. Tayob, J. L. Guerriero. Tbcrc 056: a phase 2 study of neoadjuvant niraparib with dostarlimab for patients with BRCA- or PALB2-mutated breast cancer: results from the TNBC cohorts [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF5-02.
Abstract PS5-08-03: Denali-1: a seamless phase 1/2 study of A2B395, a logic-gated, allogeneic, Tmod chimeric antigen receptor T-cell (CAR T) therapy, in patients with triple-negative breast cancer and other EGFR-expressing solid tumors with HLA-A*02 loss o
Specht, J. M., Punekar, S. R., Ulrickson, Matthew L. , Wong, D. J., Hecht, J. R., Maus, Marcela V., Grierson, P. M., Sunwoo, J. B., Molina, J. R., Maloney, D. G., Spencer, Kristen , Bayne, H. E. Fuentes, Davila, M., Patel, S. P., Zhen, D. B., Niu, J., Prasad, D. C., Marar, R. L., Bagegni, N. A., Palluconi, Gabrielle, Mardiros, Armen, Bretzlaff, William, Langeberg, W. J., Welch, J. S., Ng, E., Go, W. Y., Shatsky, R. A., Specht, Jennifer M. , Punekar, Salman R. , Hecht, J Randolph , Maus, Marcela V , Grierson, P., Sunwoo, J., Maloney, DG, Creelan, Ben , Zhen, David B. , Niu, J., Bagegni, Nusayba , Palluconi, Gabrielle, Lee, Jinhwa , Langeberg, Wendy J., Kirtane, Kedar , Shatsky, Rebecca

Clinical Cancer Research | February 17, 2026 | Volume: 32 | Issue: 4_Supplement | Pages: PS5-08-03-PS5-08-03

10.1158/1557-3265.sabcs25-ps5-08-03 Get It

Abstract Background: Despite the success treating hematologic malignancies, chimeric antigen receptor T-cell (CAR T) therapies face challenges in breast cancer and other solid tumors due to lack of targets that distinguish tumor from normal cells. Epithelial growth factor receptor (EGFR) plays a critical role in oncogenesis across several cancers and is often upregulated [1]. While monoclonal antibodies targeting EGFR have demonstrated efficacy, these approaches are often limited by on-target, off-tumor toxicities, such as skin and gastrointestinal toxicity, which constrains dose escalation and efficacy [2]. A2B395 is an allogeneic, logic-gated, EGFR-targeted, TmodTM CAR T therapy designed to address these limitations and provide a convenient and consistent off-the-shelf option. This therapy incorporates 2 CARs: an activator targeting EGFR and a blocker targeting human leukocyte antigen (HLA)-A*02. The activator recognizes EGFR on both tumor and normal cells, whereas the blocker inhibits CAR T activity against normal cells (with preserved HLA expression) while allowing activation against tumor cells (with HLA-A*02 loss of heterozygosity [LOH]). This approach is designed to avoid on-target, off-tumor toxicity, a significant limitation to CAR T treatment of solid tumors [3]. To address potential graft-vs-host response, a short-hairpin RNA expression module targeting beta-2 microglobulin is included in the Tmod construct, which significantly reduces major histocompatibility complex class I levels and subsequent host immune response [4]. Importantly, the Tmod system is modular and adaptable to multiple targets. Initial data on autologous Tmod CAR T therapy suggest reduced off-tumor toxicity and encouraging clinical efficacy [5]. A2B395 represents a novel approach for targeting EGFR-expressing solid tumors with HLA-A*02 loss of heterozygosity. Methods: DENALI-1 is a phase 1/2, open-label, nonrandomized study evaluating the safety and efficacy of A2B395 in adults. Patients are enrolled through BASECAMP-1 (NCT04981119), a master prescreening study that identifies patients with HLA loss of heterozygosity at any time in the course of their disease via next-generation sequencing. Key inclusion criteria include histologically confirmed recurrent, unresectable, locally advanced, or metastatic cancers associated with EGFR expression, including triple-negative breast, colorectal, non-small cell lung, squamous cell head and neck, and renal cell cancers. Patients must have received ≥1 line of prior therapy, such as a checkpoint inhibitor, molecular targeted therapy, or chemotherapy. The primary objective of the phase 1 portion is to evaluate safety, tolerability, and the recommended phase 2 dose (RP2D) using a Bayesian optimal interval design for dose escalation. The dose-expansion phase will confirm the RP2D and collect and analyze biomarker data. The Phase 2 portion will assess overall response rate per RECIST v1.1. As of 03 July 2025, the first patient dosed with A2B395, who has breast cancer, completed the 28-day safety review period. Dose-escalation is ongoing. Citation Format: J. M. Specht, S. R. Punekar, M. Ulrickson, D. J. Wong, J. R. Hecht, M. Maus, P. M. Grierson, J. B. Sunwoo, J. R. Molina, D. G. Maloney, K. Spencer, H. E. Fuentes Bayne, M. Davila, S. P. Patel, B. Creelan, D. B. Zhen, J. Niu, D. C. Prasad, R. L. Marar, N. A. Bagegni, G. Palluconi, J. Lee, A. Mardiros, W. Bretzlaff, W. J. Langeberg, J. S. Welch, E. Ng, W. Y. Go, K. Kirtane, R. A. Shatsky. Denali-1: a seamless phase 1/2 study of A2B395, a logic-gated, allogeneic, Tmod chimeric antigen receptor T-cell (CAR T) therapy, in patients with triple-negative breast cancer and other EGFR-expressing solid tumors with HLA-A*02 loss of heterozygosity (LOH) [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS5-08-03.