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Dias, Julie‐Alexia

https://orcid.org/0000-0003-3039-9529

Mayo Clinic

Brigham and Women's Hospital

Citations 5

Immune thrombocytopenia in patients treated with immune checkpoint inhibitors
Leaf, Rebecca Karp , Mones, Jodi V. , Shenoy, Tushar , Warsame, Mohamed , Moreira, Marina Beltrami , Panch, Sandhya , Leavitt, Andrew D., Zon, Rebecca L. , Shahamatdar, Sahar , Lim, Tristan , Cui, Can , Jiang, Debbie , Kaunfer, Sarah Allison , Durai, Lavanya , Hoge, Steven T., Dias, Julie‐Alexia , Sha, Carrie , Holmes, Aaron , Easton, Neil , Corley, Elizabeth M. , Zhao, Ethan, Li, Xingyi , Spelman, Amy, Amos, Christina Briggs, Soebbing, Doris, Shabih, Maria, Jamison, Trevor , Liu, Bolun , Hussein, Guleid , Yadav, Sumeet K. , Meara, Alexa, Juras, Patrick K. , Heskel, Marina, Reynolds, Kerry L. , Kroll, Michael H. , Leaf, David E. , Leaf, Rebecca K , Beltrami-Moreira, Marina , Cui, Can , Jiang, Debbie , Kaunfer, Sarah A , Durai, Lavanya , Dias, Julie-Alexia , Holmes, Aaron N , Easton, Neela , Corley, Elizabeth M , Liu, Bolun , Yadav, Sumeet Kumar , Elsaid, Mohamed I , Suresh, Arvind , Huang, Jennifer J , Glezerman, Ilya G , Al-Samkari, Hanny , Kroll, Michael H , Leaf, David E , Leavitt, Andrew D. , Kendall, Ellen K. , Hoge, Steven T., Li, Xingyi, Amos, Christina Briggs, Owen, Dwight H , Meara, Alexa, Go, Ronald S. , Al‐Samkari, Hanny

Blood | December 8, 2025 | Volume: 147 | Issue: 12 | Pages: 1351-1364

10.1182/blood.2025031449 Get It

Abstract Immune checkpoint inhibitor–associated immune thrombocytopenia (ICI-ITP) has been described in case reports and small case series, but comprehensive data on its incidence, risk factors, clinical features, treatment, and outcomes are lacking. We reviewed medical records of all adults initiating ICI therapy between 2016 and 2023 at 29 US hospitals across 7 major cancer centers to identify patients with ICI-ITP. Multivariable logistic regression was used to identify risk factors, and Cox modeling was performed to assess the association between ICI-ITP, its severity, and mortality. Among 86 467 patients, ICI-ITP occurred in 214 (0.25%). Independent risk factors included lower baseline platelet count, combination ICI therapy, stage IV cancer, and additional immune-related adverse events. ICI-ITP occurred at a median of 8 weeks (interquartile range [IQR], 4-18) after ICI initiation, with a median nadir platelet count of 41 × 109/L (IQR, 17 × 109/L to 64 × 109/L). Patients were treated with glucocorticoids (n = 106 [49.5%]), immune globulin (n = 39 [18.2%]), and thrombopoietin receptor agonists (n = 29 [13.6%]). Recovery occurred in 161 patients (75.2%) at a median of 2.3 weeks (IQR, 1.0-5.3). Of 76 patients rechallenged with ICIs, 23 (30.3%) developed recurrent ICI-ITP. ICI-ITP and its severity were associated with higher all-cause mortality, with a nearly threefold increase in risk among patients with severe ICI-ITP than those without ICI-ITP (adjusted hazard ratio, 2.96 [95% confidence interval, 2.14-4.08]). These findings establish ICI-ITP as a rare but clinically significant complication of ICI therapy, provide, to our knowledge, the first large-scale description of its risk factors and clinical course, and underscore the importance of timely recognition and management.
Immune thrombocytopenia in patients treated with immune checkpoint inhibitors
Leaf, Rebecca Karp , Mones, Jodi V. , Shenoy, Tushar , Warsame, Mohamed , Panch, Sandhya R. , Leavitt, Andrew D. , Zon, Rebecca L. , Shahamatdar, Sahar , Lim, Tristan , Cui, Can , Kaunfer, Sarah Allison , Durai, Lavanya , Sha, Carrie , Holmes, Aaron N., Easwar, Neela, Corley, Elizabeth M. , Zhao, Ethan, Li, Xingyi , Spelman, Amy, Amos, Christina, Soebbing, Doris, Shabih, Maria, Jamieson, Trevor, Hussein, Guleid , Yadav, Sumeet Kumar, Juras, Patrick K. , Heskel, Marina, Reynolds, Kerry, Kroll, Michael H. , Easton, Neil , Easton, Neela , Moreira, Marina Beltrami , Kendall, Ellen K. , Jiang, Debbie , Dias, Julie‐Alexia , Li, Xingyi, Amos, Christina, Jamieson, Trevor, Liu, Bolun , Elsaid, Mohamed I , Owen, Dwight H , Meara, Alexa Simon , Suresh, Arvind , Huang, Jennifer J , Glezerman, Ilya G , Go, Ronald S. , Al‐Samkari, Hanny , Leaf, David E.

Blood | December 5, 2025 | Volume: 146 | Issue: Supplement 1 | Pages: 841-841

10.1182/blood-2025-841 Get It

Abstract INTRODUCTION Immune checkpoint inhibitors (ICIs) have emerged as a cornerstone of cancer therapy. However, despite their efficacy, ICIs can cause a unique spectrum of autoimmune toxicities known as immune-related adverse events (irAEs). In contrast to irAEs involving other organ systems, hematologic irAEs such as ICI-associated immune thrombocytopenia (ICI-ITP) are less common. As a result, existing data on ICI-ITP are largely confined to isolated case reports, single-center case series, and pharmacovigilance databases lacking granular clinical data. To address this key knowledge gap, we sought to comprehensively characterize the incidence, risk factors, clinical features, treatments, and outcomes associated with ICI-ITP. METHODS We performed a multicenter cohort study of adult patients who initiated ICI therapy at 29 hospitals across 7 major cancer centers in 11 geographically diverse states in the US between 2016-2023. ICI-ITP was defined as a decline in platelet count to <100 x109/L in the absence of an alternative more plausible etiology of thrombocytopenia. Patients with hematologic malignancies were excluded, as were those who received cytotoxic chemotherapy within 30 days prior to thrombocytopenia onset. For each patient identified as having ICI-ITP, we collected data on demographics, comorbidities, medications, laboratory values, treatments, and outcomes. All data were extracted by manual chart review. To identify risk factors for ICI-ITP and to examine its association with death, for each case of ICI-ITP we also collected data on two control patients who initiated ICI therapy at the same site and in the same year but without development of ICI-ITP. We used multivariable logistic regression to identify independent risk factors for ICI-ITP and its recovery (the latter defined according to criteria established by the ITP International Working Group). We used a multivariable Cox model to examine the association between ICI-ITP and its severity with all-cause mortality. RESULTS We identified a total of 214 patients who developed ICI-ITP among 86,648 examined (0.25%). The incidence was highly consistent across sites (range, 0.15–0.30%). Risk factors for ICI-ITP included simultaneous receipt of two different classes of ICIs, additional irAEs, and a lower baseline platelet count. ICI-ITP developed at a median of 8 weeks (IQR, 4–18) following ICI initiation. The median nadir platelet count was 41 x109/L (IQR, 17–64). Six out of 214 patients (2.8%) developed a major bleed, and 16 patients (7.5%) developed a clinically relevant non-major bleed. Cell-bound anti-platelet antibody testing was positive in 6 of 8 patients (75.0%) for whom it was assessed, and median circulating thrombopoietin levels (201 pg/mL [IQR, 178–295]) were similar to those seen in primary ITP. Treatments used included glucocorticoids (49.5%), immune globulin (18.2%), and thrombopoietin receptor agonists (13.6%). Overall, 161 patients (75.2%) recovered from ICI-ITP at a median of 2 weeks (IQR, 1–5) following ICI-ITP onset. Predictors of recovery included additional irAEs and a higher nadir platelet count. Treatment response was observed in 57.0%, 56.4%, and 58.3% of patients within 60 days following initiation of glucocorticoids, immune globulin, and thrombopoietin receptor agonists, respectively. Of 76 patients rechallenged with an ICI, 23 (30.3%) developed recurrent ICI-ITP at a median of 9 weeks (IQR, 2–15); 17 of these 23 patients (73.9%) recovered. Finally, ICI-ITP and its severity were monotonically associated with a higher risk of death (adjusted hazard ratio 2.96 [95% CI, 2.14–4.08] for those with severe ICI-ITP compared to those without ICI-ITP). CONCLUSION In this multicenter study involving patients treated with ICIs at 29 hospitals across the US, we identified 214 patients with ICI-ITP. For the first time, we characterize in detail the incidence, risk factors, clinical features, treatments, and outcomes of ICI-ITP, a relatively novel disease entity. We found that more than half of patients responded to conventional ITP-directed therapies, and that most patients rechallenged did not develop recurrent ICI-ITP. We also found that ICI-ITP was independently associated with an increased risk of death, including a nearly 3-fold increased risk in those with severe ICI-ITP. These findings highlight ICI-ITP as a rare but clinically significant complication of ICI therapy that hematologists must be equipped to recognize and manage.
Genetic and Cellular Architecture of Breast Cancer Risk Across Ancestries
Zanti, Maria , Williams, Jacob , Jahagirdar, Om , Turcan, Alistair, Brandenburg, Jean‐Tristan , Li, Jingmei, Miranda, Patricio , Godbole, Devika , Zhang, Xiaomeng , Dorling, Leila , Dennis, Joe, John, Esther M. , Kushi, Lawrence H., Carvajal‐Carmona, Luis G. , Haiman, Christopher A. , Ziv, Elad , Easton, Douglas F. , Chanock, Stephen J., Chatterjee, Nilanjan , Kraft, Peter, Wong, Wendy S W , Zhu, Qianqian , Ahearn, Thomas U., Li, Jingmei , Zhang, Haoyu , John, Esther M , Li, Jingmei , Ziv, Elad , Li, James , Jia, Guochong , Hu, Qiang , Li, Yàn , Ho, Weang-Kee , Dias, Julie‐Alexia , Chen, Wenlong Carl , Boddicker, Nicholas , Wang, Ying , Martin, Alicia R. , Zhang, Yan , Torres-Mejı́a, Gabriela , Kushi, Lawrence H, Weitzel, Jeffrey N. , Neuhausen, Susan L. , Fejerman, Laura , Zheng, Wei , Huo, Dezheng , Chanock, Stephen Jacob , Chatterjee, Nilanjan , García‐Closas, Montserrat , Michailidou, Kyriaki , Zhang, Martin Jinye , Dutta, Diptavo , Ahearn, Thomas U.

No container title available | August 25, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2025.08.20.25334075 Get It

Abstract Background Breast cancer genome-wide association studies (GWAS) have identified more than 200 susceptibility loci, but most studies are dominated by European and East Asian populations. Methods We analyzed breast cancer GWAS summary statistics from African (AFR), East Asian (EAS), European (EUR), and Hispanic/Latina (H/L) samples (159,297 cases and 212,102 controls). We estimated logit-scale SNP-based heritability, polygenicity, and cross-ancestry genetic correlation, partitioned heritability across functional annotations, and integrated GWAS results with the Tabula Sapiens single-cell atlas using scDRS+. Results The logit-scale heritability of breast cancer ranged from ℎ 2 =0.47 (SE = 0.07) in EAS to AFR ℎ 2 =0.61 (SE = 0.10), with no significant differences across ancestries (p=0.63). The estimated number of susceptibility markers in a sparse normal-mixture effects model also varied from 4,446 (SE = 3,100) in EAS to 8,308 (SE = 2,751) in AFR, but differences were not significant across ancestries (p=0.55). Cross-sample genetic correlations varied, with the strongest correlation between EUR and EAS (𝜌 = 0.79, SE = 0.08) and weakest between AFR and H/L (𝜌 = 0.26, SE = 0.24). Regulatory annotations were enriched for breast cancer heritability across samples. Integration with single-cell expression profiles implicated ancestry-shared associations with innate immune, secretory epithelial, and stromal cell types. Conclusion These results indicate substantial cross-ancestry sharing of breast cancer polygenic architecture, highlight a consistent contribution of regulatory variation, and identify convergent cellular contexts that motivate functional follow-up and inform expectations for the transferability and attainable performance of common-variant risk prediction across populations.
Abstract 2282: Genetic architecture of breast cancer across diverse populations: Assessing heritability, genetic correlation, and polygenicity
Williams, Jacob , Jahagirdar, Om , Li, Jingmei, Godbole, Devika , Dorling, Leila , Dennis, Joe, Kushi, Larry, Carvajal‐Carmona, Luis G. , Haiman, Christopher A. , Zheng, Wei , Huo, Dezheng , Easton, Douglas F. , Chatterjee, Nilanjan , Kraft, Peter, Wong, W. W., Zhu, Qianqian , Ahearn, Thomas U., Li, James , Zanti, Maria , Jia, Guochong , Hu, Qiang , Brandenburg, Jean‐Tristan , Li, Yàn , Ho, Weang-Kee , Miranda, Patricio , Dias, Julie‐Alexia , Chen, Wenlong Carl , Boddicker, Nicholas , Wang, Ying , Martin, Alicia R. , Zhang, Martin Jinye , Zhang, Yan , John, Esther M. , Torres-Mejı́a, Gabriela , Kushi, Larry, Weitzel, Jeffrey N. , Neuhausen, Susan L. , Ziv, Elad , Fejerman, Laura , Chatterjee, Nilanjan , García‐Closas, Montserrat , Wong, Wendy, Michailidou, Kyriaki , Dutta, Diptavo , Ahearn, Thomas U. , Zhang, Haoyu

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 2282-2282

10.1158/1538-7445.am2025-2282 Get It

Abstract Introduction: Breast cancer genome-wide association studies (GWAS) have identified over 200 susceptibility loci, many replicated in diverse populations. However, cross-ancestry evaluation of breast cancer genetic architecture remains limited. We examined breast cancer genetic architecture using GWAS summary results from European (EUR; cases (ca) = 188,474, controls (co) = 96,201), East Asian (EAS; ca = 20,393, co = 86,329), African American (AA; ca = 9,235, co = 10,184), and US Hispanic/Latina and Latin American (H/L; ca = 2,396, co =7,468) studies. Methods: GWAS results were derived from the Breast Cancer Association Consortium, the African Ancestry Breast Cancer Genetics Consortium (AABCG), Biobank Japan, and a meta-analysis of five studies of H/L women with breast cancer. Linkage disequilibrium (LD) scores were generated for EUR, EAS, and AMR using the 1000 Genomes Project, while AA LD scores were derived from a subset of AABCG controls. Heritability was estimated for each ancestry group using LD score regression. Genetic correlations between populations were assessed via Popcorn. Polygenicity was analyzed using GENESIS; however, due to the limited sample size in the H/L studies, these estimates were restricted to AA, EAS, and EUR. Enrichment of heritability across regulatory elements was evaluated using stratified LD score regression across all populations. Results: The logit-scale heritability and corresponding standard error (SE) were 0.466 (0.066) for EAS, 0.501 (0.050) for EUR, 0.588 (0.360) for H/L, and 0.614 (0.095) for AA. The estimated number of independent susceptibility loci was 4,446 for EAS, 5,235 for EUR, and 8,308 for AA. Using a clumping and thresholding approach, an optimal set of common variants were projected to explain 38.6% (EUR), 39.4% (EAS), and 26.2% (AA) of genetic variance for samples of 100,000 cases and 100,000 controls with AUCs from corresponding estimated polygenic risk scores (PRSs) of 0.621 (EUR), 0.634 (EAS), and 0.611 (AA). Genetic correlations were strongest between EUR and EAS (ρ = 0.79, SE = 0.08) and EUR and H/L (ρ = 0.68, SE = 0.21), and weakest between AA and EAS (ρ = 0.42, SE = 0.14) and AA and H/L (ρ = 0.26, SE = 0.24). Among 73 genomic features, we found significant (P < 0.05/73) enrichment in heritability in EUR for ‘ancient promoter’ regions, transcription factor binding sites, H3K4me3, ‘super-enhancers’, H3K4me1, H3K27ac; in EAS for ‘super-enhancers’; and in AA for H3K27ac. No genomic features were significantly enriched in H/L, likely due to limited power. Conclusion: These findings suggest a shared breast cancer genetic architecture across diverse populations, as well as the potential for a similar level of breast cancer risk stratification by PRS in these populations. Expanding GWAS in underrepresented populations is essential to improve genetic risk predictions and foster equitable cancer prevention. Citation Format: James L. Li, Maria Zanti, Jacob Williams, Om Jahagirdar, Guochong Jia, Qiang Hu, Jean-Tristan Brandenburg, Li Yan, Weang-Kee Ho, Jingmei Li, José P. Miranda, Devika Godbole, Julie-Alexia Dias, Leila Dorling, Wenlong C. Chen, Nicholas Boddicker, Ying Wang, Alicia Martin, Martin J. Zhang, Yan Zhang, Joe Dennis, Esther M. John, Gabriela Torres-Mejia, Larry Kushi, Jeffrey Weitzel, Susan L. Neuhausen, Luis Carvajal-Carmona, Christopher Haiman, Elad Ziv, Laura Fejerman, Wei Zheng, Dezheng Huo, Douglas Easton, Nilanjan Chatterjee, Peter Kraft, Montserrat Garcia-Closas, Wendy Wong, Kyriaki Michailidou, Qianqian Zhu, Diptavo Dutta, Thomas U. Ahearn, Haoyu Zhang. Genetic architecture of breast cancer across diverse populations: Assessing heritability, genetic correlation, and polygenicity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 2282.
Glucarpidase for treatment of high-dose methotrexate toxicity
Gupta, Shruti , Kaunfer, Sarah Allison , Chen, Kevin L. , Dias, Julie‐Alexia , Rajasekaran, Arun , Prosek, Jason, Truong, Huong L. , Wood, Anthony C., Bassil, Claude , Renaghan, Amanda D., Carlos, Christopher A., Kelly, Katherine J. , Passero, Christopher J., Abudayyeh, Ala , Shin, Daniel Sanghoon , Yelvington, Bradley, Kanduri, Swetha Rani , Neyra, Javier A. , Shirali, Anushree C. , Bansal, Anip, Geara, Abdallah Sassine , Mithani, Zain, Ziolkowski, Susan , Rashidi, Arash, Jakubowski, Jonathan, Pujari, Ashwini, Dotson, Emily, Wall, Sarah , Patton, John T. , Barreto, Jason N. , Sheikh, M. Salman , Lee, Jamie, Lucchesi, Nicholas, Kolman, Michael David, Rasheed, Muhammad Ahsan, Afzal, Afsheen, Mahesh, Amrita, Hsu, Raymond K. , Nicolaysen, Anthony, Tefera, Kibrewessen, Schretlen, Claire F. , Miller, Ryan M. , Velez, Juan Carlos Q. , Chandrasekhara, Soniya, Donley, Vicki, Patel, Ashka , Krishnamurthy, Shobana, Ali, Rafia, Yilmam, Osman A , Wells, Sophia L., Ortega, Jessica L. , Green‐Lingren, Olivia, Leaf, Rebecca Karp , Sise, Meghan E. , Nayak, Lakshmi , LaCasce, Ann S. , Leaf, David E. , Kaunfer, Sarah A , Rajasekaran, Arun , Shah, Chintan V , Glezerman, Ilya G , Kelly, Katherine , Abudayyeh, Ala , Neyra, Javier A , Edmonston, Daniel , Ziolkowski, Susan L , Bond, David A , Patton, John , Barreto, Jason N , Herrmann, Sandra M , Sheikh, Mohammad S , Hsu, Raymond K , Aklilu, Abinet M , Krishnamurthy, Shobana , Yilmam, Osman A , Ortega, Jessica L , LaCasce, Ann Steward , Leung, Nelson , Leaf, David E , Gupta, Shruti , Dias, Julie-Alexia , Vijayan, Anitha , Zhang, Jingjing , Drappatz, Jan , Sperati, Christopher John , Rashidi, Arash , Bond, David A. , Patton, John T. , Herrmann, Sandra M. , Baz, Rachid , Lee, Jamie, Kolman, M F , Afzal, Afsheen, Kang, Dasol, Mahesh, Amrita, Miller, Ryan M., Flannery, Alexander H , Aklilu, Abinet M. , Anand, Shuchi , Ni, Jian, Wells, Sophia L., Leung, Nelson

Blood | January 6, 2025 | Volume: 145 | Issue: 17 | Pages: 1858-1869

10.1182/blood.2024026211 Get It

Abstract High-dose methotrexate (MTX) results in high rates of acute kidney injury (AKI), neutropenia, and hepatotoxicity. Glucarpidase is a recombinant enzyme that cleaves MTX, but clinical data supporting its use are scarce. We examined the association between glucarpidase administration and outcomes in adults with MTX-AKI from 28 cancer centers across the United States using a sequential target trial emulation framework. The primary end point was kidney recovery at hospital discharge, defined as survival to discharge with serum creatinine <1.5-fold baseline and without dialysis dependence. Key secondary end points were time to kidney recovery, neutropenia, and transaminitis on day 7, and time to death. Using multivariable logistic and Cox regression models, we compared outcomes in patients who received glucarpidase within 4 days following MTX initiation with those in patients who did not. Among 708 patients with MTX-AKI, 209 (29.5%) received glucarpidase. Overall, 183 (25.8%) had a primary end point event. Glucarpidase receipt was associated with a 2.70-fold higher adjusted odds of kidney recovery (95% confidence interval [CI], 1.69–4.31) compared with no glucarpidase receipt. Patients treated with glucarpidase also had faster time to kidney recovery (adjusted hazard ratio [aHR], 1.88; 95% CI, 1.18–3.33) and lower risks of grade ≥2 neutropenia (adjusted odds ratio [aOR], 0.50; 95% CI, 0.28–0.91) and grade ≥2 transaminitis (aOR, 0.50; 95% CI, 0.28–0.91) on day 7. There was no difference in time to death (aHR, 0.76; 95% CI, 0.49–1.18). These data suggest glucarpidase may improve both renal and extrarenal outcomes in patients with MTX-AKI.