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3029 citation(s) found for "Susan, M".

Positron Emission Tomography/Computed Tomography in Cardiac Implantable Electronic Device Infections: Insights From the Emerging Infections Network
McHugh, Jack , Cuervo, Guillermo, Abu-Zeinah, Khalid , Beekmann, Susan E. , Polgreen, Philip M. , Deshmukh, Abhishek J, Johnson, G B, Saleh, Omar M Abu, Baddour, L M, Baddour, Larry M. , Johnson, Geoffrey B. , Cuervo, Guillermo , Chesdachai, Supavit , McHugh, Jack , Cuervo, Guillermo , Abu-Zeinah, Khalid , Beekmann, Susan E , Polgreen, Philip M , Deshmukh, Abhishek J , Johnson, Geoffrey B , Abu Saleh, Omar , DeSimone, Daniel C , Baddour, Larry , Chesdachai, Supavit , Deshmukh, Abhishek , Saleh, Omar Abu , DeSimone, Daniel C.

Open Forum Infectious Diseases | March 3, 2026 | Volume: 13 | Issue: 3 | Pages: No page available

10.1093/ofid/ofag109 | PMID 41852557 Get It

Abstract The practice patterns of fluorine 18–labeled fluorodeoxyglucose positron emission tomography/computed tomography ([18F] FDG PET/CT) use in cardiac implantable electronic device infection remain undefined. Among 258 Emerging Infections Network respondents, 69% reported never or rarely using [18F] FDG PET/CT. Limited access and insurance barriers were the most common obstacles.
Structural Basis for C 8 methylation of 23S ribosomal RNA by Cfr
Esakova, Olga , Jung, James , Lee, Hyunwook , Cho, Sung Hyun , Alumasa, John N., Schwalm, Erica L. , Bauerle, Matthew , Hafenstein, Susan , Yu, Zhiheng, Booker, Squire J. , Esakova, Olga A , Alumasa, John , Hafenstein, Susan L , Booker, Squire J , Grove, Tyler L. , Yu, Zhiheng

No container title available | March 3, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.02.27.707579 | PMID 41867798 Get It

Abstract Cfr methylates C 8 of adenosine 2503 (A2503) in 23 S ribosomal RNA (rRNA) and will also methylate C 2 of A2503 after methylating C 8 . C 8 methylation confers resistance to more than five classes of clinically used antibiotics, highlighting it as a worrisome mechanism of antibiotic resistance. Here, we report the structure of Cfr, determined by cryogenic electron microscopy (Cryo-EM). Despite its small size (∼36 kDa), we exploit a transient protein–RNA crosslink that forms during catalysis, which requires Cys105 to resolve. Using a Cfr Cys105Ala variant and an 87-nucleotide strand of rRNA, we isolate the crosslinked species and determine its structure to 3.0 Å resolution. Notably, the 87-mer rRNA adopts an L-shaped conformation characteristic of tRNAs, rather than the conformation it assumes in the ribosome. One Sentence Summary Cryo-EM structure of Cfr, a radical S-adenosylmethionine methylase that confers antibiotic resistance
Rucaparib vs docetaxel (DTX) or second-generation androgen receptor pathway inhibitor (ARPI) therapy for patients (pts) with metastatic castration-resistant prostate cancer (mCRPC) with BRCA mutations based on
Fizazi, Karim , Chowdhury, Simon, Ryan, Charles J. , Villanueva, Noemí, Caffo, O., Chakmakjian, Carl, Ernst, D. Scott, Feyerabend, Susan , Font, Albert , Ganju, Vinod, Kushnir, Igal , MADSEN, CHRISTINE VESTERGAARD, Borrow, Jen, Ong, Valerie Shu Fei., Ostler, Peter , Reaume, Martin Neil , Bryce, Alan H. , Villanueva, Noemi , Caffo, Orazio , Ernst, D. Scott, Ganju, Vinod, Hajdenberg, Julio J.

Journal of Clinical Oncology | March 2, 2026 | Volume: 44 | Issue: 7_suppl | Pages: 46-46

10.1200/jco.2026.44.7_suppl.46 Get It

46 Background: Primary results from the randomized, multicenter, open-label, phase 3 TRITON3 (NCT02975934) study demonstrated that rucaparib significantly improved radiographic progression-free survival (rPFS) vs physician’s choice of DTX or an ARPI. ECOG PS is used as a predictor of prostate cancer survival. In this post hoc analysis, we report results from the BRCA1/2 subgroup of pts stratified by ECOG PS. Methods: Pts with disease progression after 1 prior second-generation ARPI in any setting were randomized 2:1 to rucaparib 600 mg BID or physician’s choice of DTX or ARPI (abiraterone acetate or enzalutamide). Primary endpoint was rPFS by independent radiology review (IRR). Objective response rate (ORR) for pts with measurable disease and overall survival (OS) were key secondary endpoints. Crossover from physician’s choice to rucaparib was allowed after radiographic progression was confirmed by IRR. Data cutoff was August 25, 2022. Results: Of 302 pts in the BRCA1/2 population, 147 had an ECOG status of 0 (97 rucaparib; 50 physician’s choice) and 155 had ECOG 1 (104 rucaparib; 51 physician’s choice). Baseline characteristics and demographics were generally similar between arms for pts in the ECOG 0 and ECOG 1 groups. Median rPFS favored rucaparib vs physician’s choice for pts with ECOG 0 (11.4 vs 8.2 months; HR, 0.48 [95% CI, 0.30-0.76]) and ECOG 1 (10.9 vs 6.1 months; HR, 0.48 [95% CI, 0.31-0.74]) (Table). Additionally, rPFS favored rucaparib for ECOG 0 and ECOG 1 including those whose prespecified physician’s choice was ARPI or docetaxel (Table). The confirmed ORR (95% CI) of rucaparib vs physician’s choice for ECOG 0 was 54% (37%–69%) vs 16% (3%–40%); the ORR for ECOG 1 was 37% (22%–53%) vs 18% (5%–40%), respectively. Median OS was similar between arms for rucaparib or physician’s choice; median OS was 23.7 vs 21.7 months (HR, 0.91 [95% CI, 0.61–1.37]) for ECOG 0 and 21.8 vs 20.4 months (HR, 0.85 [95% CI, 0.58–1.24]) for ECOG 1. Conclusions: Rucaparib improved rPFS and ORR in pts with BRCA-mutated prostate cancer with an ECOG PS of 0 or 1. OS was similar for these groups in both arms. These data support rucaparib as a treatment option for pts with BRCA-mutated mCRPC, whether ECOG 0 or 1. Clinical trial information: NCT02975934 . Median rPFS in patients in the ECOG 0 and ECOG 1 groups. Rucaparib, n Physician’s choice, n rPFS Rucaparib, median months rPFS Physician’s choice, median months HR (95% CI) rPFS, ECOG 0 97 50 11.4 8.2 0.48 (0.30–0.76) rPFS, ECOG 1 104 51 10.9 6.1 0.48 (0.31–0.74) rPFS, physician’s choice ARPI, ECOG 0 51 24 11.2 5.6 0.42 (0.22–0.78) rPFS, physician’s choice docetaxel, ECOG 0 46 26 11.5 8.8 0.49 (0.24–0.98) rPFS, physician’s choice ARPI, ECOG 1 52 17 11.2 4.5 0.33 (0.16–0.68) rPFS, physician’s choice docetaxel, ECOG 1 52 34 10.7 7.1 0.59 (0.34–1.01)
Comprehensive analysis of androgen production, uptake, and conversion (APUC) genes to highlight SRD5 family diversity in a large localized prostate cancer cohort.
Shi, Xiaolei, Alshalalfa, Mohammed , Boytim, Ella, Karnes, R. Jeffrey, Spratt, Daniel Eidelberg, Lacuna, Kristine Peregrino , Halabi, Susan, Sharifi, Nima , Tang, Chad, Ross, Ashley, Davicioni, Elai, Antonarakis, Emmanuel S., Ryan, Charles J. , Tran, Phuoc T., Hwang, Justin, Halabi, Susan , Lacuna, Kristine P. , Halabi, Susan , Karnes, R. Jeffrey , Shetty, Amol Carl , Bergom, Hannah E. , Patel, Krishnan R. , Tang, Chad , Davicioni, Elai , Antonarakis, Emmanuel S.

Journal of Clinical Oncology | March 2, 2026 | Volume: 44 | Issue: 7_suppl | Pages: 382-382

10.1200/jco.2026.44.7_suppl.382 Get It

382 Background: Androgen receptor signaling drives prostate cancer (PC) progression, and genes involved in androgen production, uptake, and conversion (APUC) are key therapeutic targets. We previously defined a 6-APUC gene set ( HSD3B1, HSD3B2, CYP3A43, CYP11A1, CYP11B1, and CYP17A1 ), that identified metastatic PC with favorable prognosis and predict docetaxel benefit. However, the expression landscape and clinical relevance of APUC genes have not been interrogated in localized PC. Methods: We analyzed the expression of 21 APUC genes in 55,329 radical prostatectomy tumor samples that underwent Decipher prostate genomic classifier (GC) testing (Veracyte Inc) between 2016-2024. Baseline clinical/pathologic factors were retrieved from Decipher GRID database (NCT02609269). Associations between gene expression quartiles with PathoGenomic Risk Factors (PGRF) including Very High Decipher score >0.85 (VHD), Grade Group (GG) 4-5, LNI and SVI were examined. Associations with distant metastatic (DM) outcomes and metastasis free survival (MFS) were evaluated using logistic regression in Mayo545 and Cox regression in Meta855 RP cohorts, respectively. Results: High expression of SRD5A2 was associated with favorable PGRF (lower odds ratio (OR), p<0.0001), lower rate of development of DM (OR 0.36, p<0.05), and longer MFS (Hazard ratio (HR) 0.51, p<0.05). HSD17B6 showed similar results for PGRF (lower OR, p<0.0001), DM (OR 0.58, p<0.05) and longer MFS (HR 0.39, p<0.05) despite being associated with GG4-5 and SVI+ in samples with VHD. In contrast, high expression of SRD5A3 and HSD17B10 had high OR for PGRFs (p<0.0001). High expression of SLCO2B1 , an androgen uptake gene, had the strongest association with GG4-5 and SVI/LNI (p<0.001 for both). We noted that SRD5A2 lacked correlation with SRD5A1 and SRD5A3 , which instead correlated with each other. Compared to all APUC genes, SRD5A2 had limited correlations with almost all APUC genes, including ones that exhibited robust cross correlation with each other . Similar to our prior finding, most APUC genes demonstrated negative correlation with AR expression and AR activity signatures. Key outcomes were validated based on transcriptomic data from 492 samples from TCGA database. Conclusions: Comprehensive analysis of 21 APUC genes in over 55,000 PC identified distinct, context-dependent associations with metastatic outcomes and clinical and molecular risk factors. Notably, high SRD5A2 expression was associated with lower odds of high-risk features and metastatic outcomes, whereas SRD5A1 and SRD5A3 linked to adverse outcomes, suggesting critical yet divergent roles among 5-alpha-reductase family members. These findings underscoring androgen-metabolic heterogeneity and highlighting SRD5A2 as a potential biomarker of indolent biology in localized prostate cancer.
Trial design and objectives for prostate cancer: Recommendations from the Prostate Cancer Clinical Trials Working Group 4 (PCWG4).
Armstrong, Andrew J., Morris, Michael J., Antonarakis, Emmanuel S., Beltran, Himisha, Halabi, Susan, Herrmann, Ken, Hofman, Michael S., Hope, MD Thomas A., Liu, Glenn X., McKay, Rana R., Morgans, Alicia K., Stadler, Walter M., Sternberg, Cora N., Yu, Evan Y., Scher, Howard I., Investigators, PCWG4, Halabi, Susan , Armstrong, Andrew J. , Halabi, Susan , Armstrong, Andrew J , Morris, Michael J. , Antonarakis, Emmanuel S. , Bryce, Alan H. , Emmett, Louise , Hermann, Ken , Hofman, Michael S. , Lang, Joshua M. , Liu, Glenn , McKay, Rana R. , Morgans, Alicia K. , Paller, Channing J. , Stadler, Walter M. , Sternberg, Cora N , Szmulewitz, Russell Z , Yu, Evan Y , Scher, Howard I.

Journal of Clinical Oncology | March 2, 2026 | Volume: 44 | Issue: 7_suppl | Pages: 162-162

10.1200/jco.2026.44.7_suppl.162 Get It

162 Background: Clinical trial conduct in advanced prostate cancer has changed dramatically with the continued development of new imaging approaches, molecular phenotypes and genetic subtypes, prognosis assessments, and effective therapies across a range of disease states. This created a need to redefine terminology and best practices for clinical trials. Methods: We convened PCWG4, an international expert committee of multidisciplinary working groups, between 2016 and 2025 to update and expand PCWG2-3 recommendations based on emerging evidence and clinical trial data in an innovative biomarker and imaging context to provide guidance for clinical trial design, eligibility, and endpoint assessments. Results: PCWG4 redefines terminology around disease states and prior therapies in a patient-centric context, considering imaging modalities, with a particular focus on PET-defined disease. New recommendations are provided for disease state terminology, defining eligibility criteria, imaging and non-imaging-based responses. We define delay/prevent endpoints including responses by pathology, ctDNA, circulating tumor cells, and PSA declines, and specify intervals for re-assessments including imaging, biomarker assessments, and patient reported outcomes. We propose new imaging-specific rPFS criteria including guidance with serial PSMA PET/CT imaging (Table). We provide recommendations in a biomarker-based context for the 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. Conclusions: PCWG4 expands guidance on patient and tumor profiling, as well as therapy development, to include both androgen deprivation therapy sensitive and resistant settings, reflecting today’s more heterogeneous and diverse patient population to optimize outcomes. PCWG4-defined radiographic progression by imaging modality for patients with metastatic disease. Pretreatment Scan On-treatment Scan #1(≥week 8) On-treatment Scan #2 All Subsequent Scans Bone scintigraphy Comparator Comparator for subsequent scansPOD never called here POD:PCWG3 criteria (2+2 additional new lesions) POD:≤5 new lesions: PCWG3 criteria 2 new lesions confirmed≥6 new lesions CT/MRI Any measurable disease Comparator PCWG3/RECIST PCWG3/RECIST PCWG3/RECIST PSMA PET Bones, and lymph nodes and lung metastases (non-RECIST qualifying by + on PET only) Comparator POD:≤5 new lesions: 2 new lesions confirmed on a subsequent scan≥6 new lesions Same as prior Same as prior Liver and non-pulmonary viscera Comparator POD:Any single new lesion that represents disease Same as prior Same as prior
Risk of Breast Cancer After Ovarian Cancer in Women With a Pathogenic/Likely Pathogenic Variant in BRCA1 or BRCA2
Apostol, Adriana Ionelia , Gronwald, J., Cybulski, C., Kim, Raymond H. , Møller, P., Karlan, B., Bordeleau, Louise , Schrader, Intan , Cajal, Teresa Ramón y , Pal, Tuya, Eisen, Andrea, Singer, Christian F., Couch, Fergus J., Zakalik, Dana , Metcalfe, Kelly , Olopade, Olufunmilayo, Tung, Nadine, Fruscio, R, Foulkes, William D., Sun, P., Lubinski, J., Narod, Steven A., Sweet, Kevin , Elser, Christine , Panchal, Seema, Wiesner, Georgia L. , Armel, Susan, Steele, Linda, Serfas, Kim, Cullinane, Carey A., Reilly, Robert E., Mercer, L J, Dungan, Jeffrey R., Cohen, Stephanie, Neuhausen, Susan, Sun, Sophie, Blum, Joanne L., Stempa, Klaudia , Graham, Tracy Ann, Seca, Marta , Marchette, Martina Delle , Dell'Oro, Cristina, Alfonso, Rosa Moreno, Lopez, Consol, Cusco, Francesco, Karlan, Beth Y. , Schrader, Kasmintan A. , Eisen, Andrea , Apostol, Adriana I , Cybulski, Cezary , Karlan, Beth Y , Ramón Y Cajal, Teresa , Singer, Christian F , Couch, Fergus J. , Olopade, Olufunmilayo I , Tung, Nadine , Fruscio, Robert , Foulkes, William D , Aeilts, Amber M , Lubinski, Jan , Narod, Steven A , Kotsopoulos, Joanne , Metcalfe, Kelly A , Eisen, Andrea , Bordeleau, Louise , Kim, Raymond H , Cybulski, Cezary , Møller, Pål , Pal, Tuya , Singer, Christian F. , Couch, Fergus J. , Olopade, Olufunmilayo I. , Tung, Nadine , Foulkes, William D. , Aeilts, Amber M. , Lubiński, Jan , Narod, Steven A. , Kotsopoulos, Joanne , Steele, Linda, Saal, Howard M. , Rayson, Daniel , Mercer, Leanne, Cohen, Stephanie, Neuhausen, Susan L, Senter, Leigha , Blum, Joanne Lorraine , Negri, Serena , Dell’Oro, Cristina, Inzoli, Alessandra , Alfonso, Rosa

Journal of Clinical Oncology | February 28, 2026 | Volume: 44 | Issue: 10 | Pages: 883-892

10.1200/jco-25-01648 | PMID 41762747 Get It

PURPOSE BRCA carriers face high risks of developing both breast and ovarian/fallopian tube cancers (hereafter referred to as ovarian ). Among BRCA carriers with ovarian cancer, it is not clear whether the risk of breast cancer is sufficiently high that risk-reducing mastectomy should be offered. This study aimed to assess the risk of breast cancer BRCA carriers after a diagnosis of ovarian cancer. METHODS We included women with a pathogenic/likely pathogenic variant in BRCA1 or BRCA2 , a diagnosis of ovarian cancer, and no other cancer history and no risk-reducing bilateral mastectomy. Women were followed for incident breast cancer from the date of ovarian cancer diagnosis or the date of baseline questionnaire, whichever came last. The 5-, 10-, and 15-year cumulative risks of breast cancer were compared for women with ovarian cancer and an age-matched set of control women without ovarian cancer. RESULTS A total of 960 participants with ovarian cancer were identified (814 BRCA1 and 146 BRCA2 carriers). After a mean follow-up of 4.9 years, 41 women (4.3%) developed breast cancer, at a mean age at diagnosis of 57.5 years (range, 39-74). Actuarial cumulative breast cancer risks after ovarian cancer were 4.4%, 8.9%, and 11.5% at 5, 10, and 15 years, respectively. Only three breast cancer–related deaths occurred. Among 741 age-matched BRCA carriers without ovarian cancer, actuarial cumulative risks of breast cancer were 20.9%, 38.6%, and 47.2% at 5, 10, and 15 years, respectively. The hazard ratio for breast cancer, after an ovarian cancer diagnosis, compared with no ovarian cancer, was 0.18 ([95% CI, 0.12 to 0.27]; P < .0001). CONCLUSION After ovarian cancer, BRCA carriers have a relatively low risk of breast cancer. Risk-reducing mastectomy should not be recommended routinely, but might be considered for long-term survivors. Magnetic resonance imaging surveillance and/or mammography is a realistic alternative.
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.
Feasibility of decentralized real-world monitoring of SARS-CoV-2 booster vaccines and COVID-19 outcomes in myeloma
Wood, William A, Kumar, Shaji K, Semmel, Emily, James, Shandra, Chung, David J., Rosenberg, Aaron S., Zonder, Jeffrey A. , Rubinstein, Samuel M., D'Souza, A, Martin, Thomas, Chari, Ajai, Vij, Ravi, Nooka, Ajay K., Anderson, Kenneth C., NEUBERG, D, Torres, Kathleen, Weiss, Brendan M. , Pederson, Levi , Geyer, Susan, Usmani, Saad Z., Wood, William A. , D’Souza, Anita , Rosenberg, Aaron S. , Wood, William A , Kumar, Shaji K , Chung, David J , Rosenberg, Aaron , D'Souza, Anita , Pederson, Levi D , Derkach, Andriy , Kumar, Shaji , Semmel, Emily A., Schroeder, Mark A. , Rubinstein, Samuel M. , Martin, Thomas, Nooka, Ajay K. , Anderson, Kenneth C., Neuberg, Donna , Richard, Shambavi , Torres, Kathleen, Derkach, Andriy , Usmani, Saad Z.

Blood Advances | February 24, 2026 | Volume: 10 | Issue: 9 | Pages: 3094-3102

10.1182/bloodadvances.2025018963 | PMID 41734388 Get It

Abstract Patients with multiple myeloma have an elevated risk of severe complications from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; COVID-19) infection. To demonstrate proof of concept for a pandemic preparedness and response network, the American Society of Hematology Research Collaborative Multiple Myeloma Program developed a prospective, decentralized study within a site-based provider network. In the COVID-19 outcomes in myeloma and the impact of vaccines (COSMIC) study, patients provided consent, permitted electronic health record data collection, completed patient-reported outcomes at baseline, day 30, and day 180 through an electronic study portal, and were compensated for participation. Clinicians at participating sites facilitated study recruitment and shared best practices monthly to accelerate study execution. The COSMIC study rapidly consented 201 patients from 8 participating sites over 4 months (22 January 2024 through 17 May 2024). Consented participants were 30 to 93 years old, with a median age of 67; 46% were female, 69% were non-Hispanic White, 17% were non-Hispanic Black, and 8% were Hispanic/Latino. Patient-reported data completion was 97% at baseline, 81% at 1 month, and 79% at 6 months. At baseline, 55% of patients reported a history of COVID-19 infection and had received a median of 4 SARS-CoV-2 vaccines. For all patients, there were an additional 18 COVID-19 infections and 57 vaccines received during the 6-month observation period. There were no significant differences in health-related quality of life over time or by history of COVID-19 infection. COSMIC demonstrates the feasibility of an innovative evidence generation strategy to drive rapid accrual of patients to address an evolving area of need. This trial was registered at www.clinicaltrials.gov as #NCT05831787.
Multimorbidity in Atrial Fibrillation: Impact on Outcomes
Manemann, Sheila M., Alonso, Alvaro, Noseworthy, Peter A. , Siontis, Konstantinos C., Gersh, Bernard J., Roger, Veronique L., Ryu, Euijung , Killian, Jill M. , Weston, Susan A., Vaughan, Lisa E. , Gersh, Bernard J. , Alonso, Álvaro , Alonso, Alvaro , Siontis, Konstantinos C , Gersh, Bernard J , Roger, Veronique L , Chamberlain, Alanna M , Noseworthy, Peter A , Vaughan, Lisa , Siontis, Konstantinos C. , Roger, Véronique L. , Chamberlain, Alanna M.

Journal of the American Heart Association | February 24, 2026 | Volume: 15 | Issue: 5 | Pages: No page available

10.1161/jaha.124.040612 | PMID 41733064 Get It

Background Multimorbidity is common in patients with atrial fibrillation (AF); however, the impact of the number and type of comorbid conditions on outcomes remains uncertain. Methods This cohort study included patients with new‐onset AF from a Midwest region between 2013 and 2017. Eighteen chronic conditions at the time of AF were classified into groups: cardiometabolic, other somatic, and mental health. Cox regression determined associations between the number of each condition type with death, ischemic stroke/transient ischemic attack, and congestive heart failure, stratified by age. Results Among 16 509 patients with AF (mean age, 74 years; 43% women), the mean number of cardiometabolic, other somatic, and mental health conditions was 2.7, 1.4, and 0.5, respectively. The number and type of conditions had a varying impact on outcomes and differed by age. A higher number of cardiometabolic conditions were associated with increased risk of death within 90 days only in people aged ≥85 years (≥4 conditions versus 0: hazard ratio [HR], 1.74 [95% CI, 1.05–2.87]), whereas for death after 90 days, associations were strongest in the youngest age group (<65 years: HR, 1.83 [95% CI, 1.35–2.46]; 65–74 years: HR, 1.34 [95% CI, 1.04–1.73]; 75–84 years: HR, 1.32 [95% CI, 1.09–1.60]; ≥85 years: HR, 1.14 [95% CI, 0.96–1.35]). Associations with outcomes were generally strongest in the youngest age group and attenuated with older age for higher number of other somatic conditions, whereas the pattern was less consistent for mental health conditions. Conclusions Along with cardiometabolic‐related conditions, other somatic and mental health conditions are important predictors of outcomes in AF, with effects differing by age, and should be considered when caring for these patients.