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367 citation(s) found for "Pan, Ji-An".

Early‐Life Polyethylene Microplastic Exposure Exacerbates ADHD‐Like Behaviors in Mice via PI3K/AKT1/Nrf2 Signaling: Evidence From the Pilot Cohort and Multi‐Omics Analyses
Xie, Ruijin , Pan, Qiyang, Liu, Li , Sun, Chenyu , Liu, Yueying

Advanced Science | November 1, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/advs.78594 | PMID 42967219 Get It

ABSTRACT Microplastic pollution may influence neurodevelopment, yet its relationship with attention‐deficit/hyperactivity disorder (ADHD) remains unclear. We integrated a pediatric cohort, multi‐omics analyses, network toxicology, and animal experiments to investigate polyethylene (PE) microplastic exposure in ADHD vulnerability. Among 90 children, PE was the predominant polymer detected in blood and was more abundant in children with ADHD. Higher PE burden was associated with greater symptom severity, increased IL‐6, and reduced antioxidant capacity. Multi‐omics and network analyses converged on PI3K/AKT1/Nrf2 signaling. In a perinatal nicotine mouse model, developmental PE co‐exposure exacerbated ADHD‐like behaviors, dopaminergic dysfunction, and oxidative injury. Melatonin partially alleviated these abnormalities by restoring PI3K/AKT1/GSK3β and Nrf2 signaling, whereas AAV‐mediated PI3K knockdown weakened its protective effects. Collectively, the human findings identify circulating PE burden as an environmental correlate of ADHD‐related neurodevelopmental vulnerability, while the animal experiments provide evidence that developmental PE co‐exposure can aggravate ADHD‐like abnormalities in a susceptible background.
BET Bromodomain Pan-D1-Biased Inhibitors with Improved Drug-Like Properties and hERG Profiles as Therapies for Inflammatory Liver Injury
Vail, Nora R. , Doskey, Luke C. , Peterson, Elliott , Scholtz, Cole R. , Gallardo‐Macias, Ricardo , Khanal, Shalil , Buhrow, Sarah A. , McPherson, Joseph E., Sepulveda, Tomás I., Zanon, Trina L., Jerez, Sofia, Alexander, Juliana R. , Gurvich, Vadim J. , Reid, Joel M. , Shi, Ke , Aihara, Hideki , Topczewski, Joseph J., Malhi, Harmeet , Shah, Vijay H. , Pomerantz, William C. K. , Tretyakova, Natalia Y. , Shi, Ke, Topczewski, Joseph J.

No container title available | September 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.26434/chemrxiv.15009359/v1 Get It

BET bromodomain inhibitors are efficacious as anti-inflammatory compounds, but clinical translation is hampered by dose-limiting toxicities from non-selective inhibition. We herein report compounds 16 and 26, based on previously reported 4-methyl-1,2,3-triazole-based inhibitor, DW34. 16 has a BRD4 BD1 Ki of 10 nM, and up to 13–38-fold selectivity for BRD4 BD1 over other BD2 domains, and an improved hERG affinity of 4.24 µM over DW34. 26, A biscyclopropyl analog of 16 showed further enhancement of BD1 selectivity over BD2 (26–203-fold), but exhibited more potent hERG inhibition. Compound 16 had improved liver and plasma clearance over DW34, with good biodistribution to the liver, and had an intracellular target-engagement affinity Ki of 92 nM, with reduction of Ccl2, Cxcl1, AST, and ALT in in vitro and in vivo mouse models of liver inflammation. 16 represents a useful lead for treating inflammatory liver diseases, with improved specificity, drug-like properties, and reduced hERG affinity.
An explainable transformer model learning from entire treatment timelines for pan-cancer risk profiling across healthcare systems
Keyl, Philipp , Kiermeyer, Niklas , Bosserhoff, Jonah, Lenfers, Tim , Niederhauser, Thibault , Fan, Bowen , Schnake, Thomas , Aubele, Fabio, Kuss, Solveig, Jurmeister, Philipp, Kim, Moon, Bauer, Sebastian , Bechrakis, Nikolaos, Forsting, Michael, Fuehrer-Sakel, Dagmar, Glas, Martin , Gruenwald, Viktor, Hadaschik, Boris, Herrmann, Ken, Kasper, Stefan, Kimmig, Rainer, Lang, Stephan, Pretzell, Ina , Rassaf, Tienush, Roesch, Alexander , Sure, Ulrich, Wichert, Marc, Unger, K, Behr, Juergen, Teupser, Daniel, Stief, Christian G., Mayerle, J, Tufman, Amanda, Ricke, Jens , Lindner, Lars H., Priglinger, Siegfried, Hoeglinger, Guenter, Mahner, Sven, Canis, Martin , Heinzerling, Lucie, Spitzweg, Christine , Tasdogan, Alpaslan , Totzeck, Matthias , Welt, Anja , Wiesweg, Marcel, Westphalen, C. Benedikt, Thasler, Reinhard, Albashiti, Fady , Montavon, Grégoire , Miglino, Nicola, Bergwelt‐Baildon, Michael von , Heinemann, Volker , Belka, Claus , Hartmann, Sylvia, Wicki, A., Nensa, Felix, Teupser, Daniel , Mueller, Klaus-Robert, Kleesiek, Jens , Wicki, Andreas , Wicki, Andreas , Bauer, Sebastian , Bosserhoff, Jonah, Schallenberg, Simon , Aubele, Fabio Paul , Kuss, Solveig , Idaji, Mina Jamshidi , Bechrakis, Nikolaos Emmanouel , Forsting, Michael, Hadaschik, Boris Alexander , Lang, Stephan , Rassaf, Tienush , Siveke, Jens , Guberina, Maja , Sure, Ulrich, Wichert, Marc, Ingrisch, Michael , Behr, Juergen, Mayerle, Julia V. , Harbeck, Nadia , Tufman, Amanda , Lindner, Lars Hartwin , Höglinger, Günter U. , Wiesweg, Marcel , Westphalen, C. Benedikt , Thasler, Reinhard, Miglino, Nicola, Balázs, Zsolt , Hartmann, Sylvia , Nensa, Felix , Schadendorf, Dirk , Schüler, Martin , Klauschen, Frederick , Keyl, Julius

No container title available | July 27, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.24.26358838 Get It

Abstract Cancer outcomes vary widely between individual patients, each accumulating an irregular record of treatments, diagnoses, measurements, and complications. Current prognostic models reduce this complexity into a single snapshot, focus on narrow clinical settings, and rarely generalize across hospitals. Here we introduce Chronicle , an explainable transformer that learns from entire patient trajectories to predict diverse clinical outcomes throughout the disease course while capturing both short- and long-term temporal dependencies. Trained on 53.7 million longitudinal data points from 51,711 patients spanning 67 cancer types, Chronicle operates natively on irregular data without imputation and jointly predicts eight endpoints within a flexible framework adaptable to additional outcomes. Chronicle outperformed cross-sectional models for overall survival prediction (C-index 0.84 vs 0.76-0.79), stratified patients more accurately than established prognostic systems, including TNM stage, and predicted seven adverse event and transfusion endpoints (AUC 0.80-0.92). Applied without retraining to 69,341 patients in Germany, Switzerland, and the United States, Chronicle generalized across healthcare systems and improved further with local fine-tuning. Integrated explainability traced each risk update to patient-specific clinical factors, revealing distinct temporal persistence of prognostic information, with relevance half-lives ranging from weeks for therapies to nearly one year for baseline characteristics. These findings demonstrate that learning from hospital-wide patient trajectories enables interpretable and continuously updated predictions, providing a scalable framework to support individualized treatment decisions.
Advances in Hypothyroidism
Ashrafian, Hasan, Sara, Jaskanwal Deep Singh , Pan, Rui , Nguyen, Nhu-Tram A., Zhang, Ming , Pan, Rui Y., Lewandowski, Krzysztof Cezary

No container title available | July 23, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.4236/9781618962665 Get It

Hypothyroidism, also called&nbsp;underactive thyroid&nbsp;or&nbsp;low thyroid, is a&nbsp;disorder of the endocrine system&nbsp;in which the&nbsp;thyroid gland&nbsp;does not produce enough&nbsp;thyroid hormone.&nbsp;It can cause a number of symptoms, such as&nbsp;poor ability to tolerate cold, a&nbsp;feeling of tiredness,&nbsp;constipation,&nbsp;depression, and&nbsp;weight gain.&nbsp;Occasionally there may be swelling of the front part of the neck due to&nbsp;goiter.&nbsp;Untreated cases of hypothyroidism during&nbsp;pregnancy&nbsp;can lead to delays in&nbsp;growth and intellectual development&nbsp;in the baby or&nbsp;congenital iodine deficiency syndrome.<br /> Worldwide,&nbsp;too little iodine&nbsp;in the diet is the most common cause of hypothyroidism.&nbsp;Hashimoto's thyroiditis&nbsp;is the most common cause of hypothyroidism in countries with sufficient dietary iodine.&nbsp;Less common causes include previous treatment with&nbsp;radioactive iodine, injury to the&nbsp;hypothalamus&nbsp;or the&nbsp;anterior pituitary&nbsp;gland, certain medications,&nbsp;a lack of a functioning thyroid at birth, or previous&nbsp;thyroid surgery.&nbsp;The diagnosis of hypothyroidism, when suspected, can be confirmed with&nbsp;blood tests&nbsp;measuring&nbsp;thyroid-stimulating hormone&nbsp;(TSH) and&nbsp;thyroxine&nbsp;levels.
Molecular and Structural Basis of Pan-Resistance to BTK Degraders and Inhibitors
Sievers, Quinlan , Lu, Hao , Cool, Allison , Gajewski, Stefan , Kong, Tim , Noviski, Mark , Whelan, Sarah , Wang, Yuhan , Navarrete, Lizbeth Mendoza, Mi, Xiaoli , Mukerji, Ratul , Ye, Jordan , Rios, Mateo Sanchez Garcia de los, Bousquet, Hugo , Tan, Y. , Brathaban, Nivetha , Narasappa, Nell , Lu, Ya‐Wen , Elechko, Jennifer, Phelps, Christopher B., Sekeres, Samantha, Bravo, Eduardo , Alencar, Alvaro J. , Islam, Prioty , Mato, Anthony R. , Noviski, Mark A , Wang, Yuhan , Mendoza Navarrete, Lizbeth , Ficici, Emel , Mukerji, Ratul , Iuliano, James N , Ye, Jordan , Sanchez Garcia De Los Rios, Mateo , Bousquet, Hugo , Tan, May , Brathaban, Nivetha , Narasappa, Nell , Lu, Ya-Wen , Elechko, Jennifer , Maron, Maxim I , Phelps, Christopher B , Rahman, Jahan , Notti, Ryan Q , Sekeres, Samantha , Lamkin, Erica N , Bravo, Eduardo , Alencar, Alvaro J , Ewalt, Mark D , Islam, Prioty , Mato, Anthony , Roeker, Lindsey , Bhatt, Shruti , Taylor, Justin , Thompson, Meghan C , Hansen, Gwenn M , Abdel-Wahab, Omar , Lamkin, Erica , Ewalt, Mark D. , Roeker, Lindsey E. , Abdel‐Wahab, Omar

Cancer Discovery | July 22, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1158/2159-8290.cd-26-0251 | PMID 42484277 Get It

Abstract Early-phase clinical trials of Bruton’s tyrosine kinase (BTK) degraders have demonstrated efficacy in patients with BTK inhibitor-resistant chronic lymphocytic leukemia (CLL). How clinical resistance to BTK degraders arises is unknown. Here we sequenced serial CLL samples from patients enrolled in the phase I trials of zelebrudomide and bexobrutideg and observed recurrent expansion of preexisting BTK A428D mutations at relapse. Unlike previously studied BTK inhibitor resistance mutations, BTK A428D conferred pan-resistance to BTK inhibitors and degraders. In the absence of BTK-directed therapies, however, cells bearing BTK A428D exhibited a competitive disadvantage. A crystal structure of BTK A428D revealed that the mutant aspartate clashes with the adenine ring of ATP and the adenine-mimetic moiety of BTK inhibitors and degraders. Combining BTK degraders with venetoclax mitigated the expansion of BTK A428D. These results provide the molecular basis for clinical resistance to BTK degraders and will inform the development of next-generation BTK degrader therapies.
Amyloid PET Quantitation and Centiloid Thresholds in the Diagnosis of Alzheimer Disease
Soleimani‐Meigooni, David N. , Chiotis, Konstantinos, Allen, Isabel E., Rabinovici, Gil D., Joie, Renaud La , Group, Meta-Centiloid Study, Apostolova, Liana G. , Asken, Breton M., Benzinger, Th., Betthauser, Tobey J., Bluma, Marina, Bombois, Stephanie, Bourgeat, Pierrick, Bouteloup, Vincent , Braskie, Meredith N., Brendel, Matthias, Brickman, Adam M., Bryant, Natalie, Bullich, Santiago , Carrillo, Maria C., Casaletto, Kaitlin, Cash, David M., Chang, Chiung-Chih, CHANG, H L, Chao, Yishu , Collij, Lyduine E., Corrada, Maria M., Craft, Suzanne , Dickerson, Bradford C., Dubois, Bruno, Dufouil, Carole, Fajardo, Alfonso, Farrar, Gill , Fortea, Juan, Frings, Lars , Frisoni, Giovanni B., Gardner, Raquel C., Gnörich, Johannes , Gordon, Brian A., Gu, Yuna , Guan, Yihui, Guo, Tengfei, Hanseeuw, Bernard J., Hansson, Oskar, Harrison, Theresa M., Huang, Qi, Huang, ST , Iaccarino, Leonardo, Ishii, Kazunari, Ishi, Kenji, Jagust, William J., Johnson, Sterling C., Kato, Takashi, Katsumi, Yuta, Kaye, Jeffrey, Kolinger, Guilherme D., Kramer, Joel H. , Landau, Susan M., Landeau, Brigitte, Lao, Patrick J., Lee, Sangwon, Lopresti, Brian J., Lowe, Val J. , Luchsinger, José A., Mao, Xiaoxie, March, Andrew, Masters, Colin L., Meyer, Philipp T., Mezenge, Florence, Mormino, Elizabeth C., Franquesa‐Mullerat, María , Nakamura, Akinori, Nordberg, Agneta, O’Brien, John T., O’Bryant, Sid E., Pappas, Ioannis, Peretti, Debora E., Rowe, Christopher C., Rowe, James B., Schwartz, Daniel L., Seo, Sang Won , Shekari, Mahnaz, Smith, Ruben, Snyder, Heather M. , Sokolowski, Andrzej, Sperling, Reisa A., Sun, Pan, Taggett, Jacinda Z., Touroutoglou, Alexandra , Vaillancourt, David E., Giessen, Elsmarieke van de, Vijverberg, Jort, Villemagne, Victor L. , Villeneuve, Sylvia , Wang, Wei-en, Weiner, Michael, Woodworth, Davis, Xiao, Cally , Xie, F, Yoon, Yeojun, Yun, Mijin, Severanc, A4, ABIDE, ADNI*, ADNI-DoD, AgeWell, AIBL, AMYPAD, BACS, BATON, BIOCARD, BLSA, BioFINDER-2, BrANCH, CPAS, DETECT-AD, GEMS, GHABS, HABS, HABS-HD, IDEAS, IMAP, INSIGHT-preAD, Insight46, K-ROAD, LEADS, MCSA, MULNIAD, MEMENTO, SCAN, PREVENT-AD, SPIN,, Corrada, María M. , La Joie, Renaud , Blazhenets, Ganna , Chiotis, Konstantinos , Allen, Isabel Elaine , Rabinovici, Gil D. , Asken, Breton M. , Bejanin, Alexandre , Benzinger, Tammie L.S. , Betthauser, Tobey J. , Blūma, Marina , Bombois, Stéphanie , Bourgeat, Pierrick , Braskie, Meredith N. , Brendel, Matthias , Brickman, Adam M. , Carrillo, María C. , Casaletto, Kaitlin B. , Cash, David M. , Chang, Chiung‐Chih , Chang, Hsin‐I , Chêne, Geneviève , Chételat, Gaël , Coath, William , Collij, Lyduine , Colmant, Lise , Dickerson, Bradford Clark , Dubois, Bruno , Dufouil, Carole , Fortea, Juan , Garibotto, Valentina , Gordon, Brian A. , Guan, Yihui , Guo, Tengfei , Hanseeuw, Bernard , Hansson, Oskar , Harrison, Theresa M. , Iaccarino, Leonardo , Ishii, Kazunari , Ishii, Kenji, Jagust, William J. , Johnson, Sterling C. , Katsumi, Yuta , Kaye, Jeffrey , Koeppe, Robert A. , Kolinger, Guilherme Domingues , Landau, Susan , Landeau, Brigitte , Lao, Patrick , Lee, Sangwon, Lleó, Alberto , Lopresti, Brian J. , Malpetti, Maura , March, Andrew, Masters, Colin L. , Mézenge, Florence, Mormino, Elizabeth C. , Nakamura, Akinori , Nordberg, Agneta , O'Brien, John Tiernan , O’Bryant, Sid E. , Pappas, Ioannis , Quenon, Lisa , Rowe, Christopher Cleon , Rowe, James B. , Rudolph, Marc D. , Salvadó, Gemma , Schott, Jonathan M. , Schwarz, Christopher G. , Shekari, Mahnaz , Silbert, Lisa C. , Smith, Ruben, Sokolowski, Andrzej, Sperling, Reisa Anne , Sun, Pan , Taggett, Jacinda , Toga, Arthur W. , Vaillancourt, David E. , Giessen, Elsmarieke van de , Vemuri, Prashanthi , Villain, Nicolas , Wang, Wei‐en , Weiner, Michael W. , Xie, Fang , Young, Christina B. , Yun, M R

JAMA | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jama.2026.13116 | PMID 42441390 Get It

Importance Amyloid positron emission tomography (PET) is increasingly used in research and clinical settings to determine the etiology of cognitive decline and eligibility for amyloid-targeting therapies. To assist with amyloid PET evaluation and to guide clinical decision-making, images can be quantified in a standardized unit called Centiloid, the interpretation of which can vary according to the method and threshold used. Objective To collect Centiloid values from available studies and determine robust positivity cutoffs using data-driven methods and correspondence with visual reads. Data Sources PubMed search (October 2024) identified studies with Centiloid values. Corresponding authors were invited to share individual participant data. Additional data were obtained through access-controlled repositories and conference outreach (July 2024-July 2025). Study Selection Studies were included if they provided Centiloids, radiotracer, age, and sex. Data Extraction and Synthesis Each study was analyzed using a unified statistical pipeline; study estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures Gaussian mixture models (GMMs) were fitted to Centiloid values for each study. In studies with a bimodal distribution (per integrated completed likelihood), single cutoffs for positivity were set as mean plus 2 SDs of the lower gaussian component. Using GMMs, a double-cutoff approach defined a lower certainty range using a 90% posterior probability cutoff for assignment to the low (amyloid-negative) vs high (amyloid-positive) component. An alternative Centiloid cutoff was derived from maximizing the correspondence (Cohen κ) with the binary visual reads when available. Results This meta-analysis included cross-sectional amyloid PET scans acquired with 5 radiotracers from 49 227 participants across 53 studies from 15 countries (mean age, 71 years; 54% female, 62% cognitively impaired). The data-driven GMM approach identified a bimodal distribution in 51 studies (n = 48 786), resulting in a single cutoff for positivity of 18 Centiloids (95% CI,16-19; I 2 = 97%). The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I 2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I 2 = 95%). In analyses of correspondence with binary (positive or negative) visual reads of amyloid PET scans (n = 35 045; 36 studies), Centiloids were highly predictive of visual positivity (Cohen κ, 0.86; 95% CI, 0.83-0.89; I 2 = 96%) with a cutoff of 27 Centiloids (95% CI, 24-30; I 2 = 80%). Conclusions and Relevance In this individual participant data meta-analysis, positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads). Findings from a double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use.
Abstract PR004: BTK A428D is a recurrent pan-resistance mutation to BTK degraders in clinical trials
Sievers, Quinlan, Lu, Hao, Cool, Allison , Grajewski, Stefan, Kong, Tim , Noviski, Mark, Mukerji, Ratul , Iuliano, James, Ye, Jordan , Rios, Mateo Sanchez Garcia de los, Bousquet, Hugo , Whelan, Sarah , Tan, May, Phelps, Christopher, Raman, Jahan, Notti, Ryan, Navarrete, Lizbeth Mendoza, Sekeres, Samantha, Lamkin, Eria, Bravo, Eduardo , Ewalt, Mark, Islam, Prioty , Mato, Anthony, Roeker, Lindsey, Taylor, Justin, Thompson, Meghan, Hansen, Gwenn, Abdel-Wahab, Omar, Sievers, Quinlan , Noviski, Mark , Mi, Xiaoli , Ficici, Emel , Iuliano, James N , Bousquet, Hugo, Notti, Ryan Q , Ewalt, Mark D. , Mato, Anthony R. , Roeker, Lindsey E. , Hansen, Gwenn M , Abdel‐Wahab, Omar

Blood Cancer Discovery | June 24, 2026 | Volume: 7 | Issue: 3_Supplement | Pages: PR004-PR004

10.1158/2643-3249.lymphoma26-pr004 Get It

Abstract Early-phase clinical trials of BTK degraders in relapsed/refractory CLL have shown response rates of over 80%, including in patients with BTK mutations that confer resistance to conventional BTK inhibitors (BTKi). The molecular basis of resistance to BTK degraders is unknown and, given the promise of this class of drugs, would hold implications for therapy sequencing and the design of next-generation BTK degraders. To this end we identified five patients at Memorial Sloan Kettering who developed progressive disease while being treated on the phase 1 trials of zelebrudomide (NCT04830137, 4 patients) or bexobrutideg (NCT05131022, 1 patient). In two patients, one treated with zelebrudomide and the other with bexobrutideg, a pre-existing BTK A428D mutation had expanded at progression, rising from &lt;1.5% at the start of treatment to &gt;25%. In both cases, the increase in frequency of BTK A428D coincided with the loss of BTK degradation in peripheral blood B cells. No mutation in cereblon, the ligase utilized by these BTK degraders, was detected. To validate these clinical findings we generated wild-type and BTK A428D knock-in single-cell clones in TMD8 and HBL1 cells. BTK A428D conferred resistance to BTKi, including ibrutinib, acalabrutinib, zanubrutinib, and pirtobrutinib, as well as the clinical-stage BTK degraders zelebrudomide, bexobrutideg, BGB-16673, and AbbVie-1 (Compound 1, WO 2023183811). BTK A428D’s pan-resistance is unique compared to previously studied BTKi resistance mutations which remain susceptible to at least one BTKi and all clinical-stage BTK degraders tested. To understand how BTK A428D confers pan-resistance to BTKi and BTK degraders we conducted surface plasmon resonance studies which demonstrated that BTKi and all four clinical-stage BTK degraders tested are unable to bind BTK A428D. We next solved the crystal structure of apo BTK A428D to 1.8Å, which revealed that the mutant aspartate, which is larger and negatively charged compared to the wild-type alanine, sterically blocks BTKi and degraders from accessing residues in the hinge region of the kinase that are required for drug binding. We next asked why BTK A428D, despite conferring pan-resistance, has only been detected in 1.1% of patients treated with BTK inhibitors. Intriguingly, we noted that in one of our index patients, the frequency of BTK A428D declined and became undetectable after the withdrawal of zelebrudomide, suggesting a fitness defect. To assess this hypothesis, we compared the proliferation rates of five TMD8 wild-type and five BTK A428D single-cell clones; the BTK A428D clones grew more slowly and were consistently outcompeted in mixing studies. In summary, low-frequency BTK A428D mutations can expand under the selection pressure of BTK degraders and confer clinical resistance by preventing drug binding. The mutation, however, is outcompeted in the absence of BTK-targeted therapies. These findings provide rationale for the investigation of combination therapies and the development of next-generation BTK degraders capable of circumventing BTK A428D. Citation Format: Quinlan Sievers, Hao Lu, Allison Cool, Stefan Grajewski, Tim Kong, Mark Noviski, Xiaoli Mi, Emel Ficici, Ratul Mukerji, James Iuliano, Jordan Ye, Mateo Sanchez Garcia de los Rios, Hugo Bousquet, Sarah Whelan, May Tan, Christopher Phelps, Jahan Raman, Ryan Notti, Lizbeth Mendoza Navarrete, Samantha Sekeres, Eria Lamkin, Eduardo Bravo, Mark Ewalt, Prioty Islam, Anthony Mato, Lindsey Roeker, Justin Taylor, Meghan Thompson, Gwenn Hansen, Omar Abdel-Wahab. BTK A428D is a recurrent pan-resistance mutation to BTK degraders in clinical trials [abstract]. In: Proceedings of the Fifth AACR International Meeting on Advances in Malignant Lymphoma: From Discovery to Clinical Impact; 2026 Jun 24-27; Philadelphia, PA. Philadelphia (PA): AACR; Blood Cancer Discov 2026;7(3_Suppl):Abstract nr PR004.
Collagen nanofiber reinforced alginate hydrogel tube microbioreactors for cell culture
Yang, Yakun , Pan, Ying , Wang, Yong , Wang, Shue , Zhu, Wuqiang, Liu, Wansheng, Wu, Xinran , Lian, Xiaojun Lance , Dong, Cheng , Wang, Aijun , Zhu, Wuqiang, Liu, Wansheng, Lei, Yuguo

Frontiers in Bioengineering and Biotechnology | June 19, 2026 | Volume: 14 | Issue: No issue available | Pages: No page available

10.3389/fbioe.2026.1730541 | PMID 42404040 Get It

Introduction Large-scale production of mammalian cells is pivotal for applications in biotechnology, regenerative medicine, and therapeutic manufacturing. However, current bioreactor technologies face significant technical and economic challenges, including excessive cell aggregation, shear stress-induced cell death, batch-to-batch inconsistencies, and limited scalability. We propose that engineering a cell-friendly microenvironment can enhance culture efficiency. Previously, we developed alginate hydrogel microtubes (AlgTubes) that significantly improved cell density and growth rates; however, AlgTubes lack adhesion sites essential for anchorage-dependent cells and frequently break, causing cell leakage and production inconsistencies. Methods To address these limitations, we reinforced AlgTubes with collagen nanofibers, creating collagen-alginate hybrid hydrogel microtubes (ColAlgTubes). Collagen was integrated to form a dense nanofiber network interwoven with the alginate mesh, with the dual aim of enhancing mechanical properties and providing cell adhesion sites. ColAlgTubes were fabricated to maintain cell mass within a 400 μm diameter to ensure efficient nutrient exchange and waste removal. Results ColAlgTubes successfully formed a reinforced hybrid hydrogel structure in which the collagen nanofiber network improved the mechanical integrity of the alginate matrix while supplying adhesion sites for anchorage-dependent cells. The optimized 400 μm diameter microenvironment supported high cell viability, rapid proliferation, and exceptional yields of 5 × 10 8 cells/mL. Discussion These results demonstrate that ColAlgTubes overcome the key limitations of AlgTubes by combining structural reinforcement with biological functionality. The improved mechanical properties reduce tube breakage and cell leakage, while collagen-derived adhesion sites broaden compatibility to anchorage-dependent cell types. With their scalability, cost-effectiveness, and high efficiency, ColAlgTubes represent a transformative solution for large-scale mammalian cell production across biotechnology, regenerative medicine, and therapeutic manufacturing.
Application of Hi-C sequencing to detect oncogene rearrangements for diagnosis and treatment of large B-cell lymphoma
Wang, Chang , 吴得红, Tzankov, Alexandar, Møller, Michael , Visco, Carlo , Hsi, Eric D. , Zhao, Xiaoxian , Lv, Beibei, Wang, Bangchen , Yao, Shuna, Chiu, April , Dybkær, Karen , Bhagat, Govind , Montes-Moreno, Santiago, Pan, Zenggang , Bernal‐Mizrachi, Leon , Krieken, J Han JM van, Choi, William W.L., Tam, Wayne , Chen, Weina , Ponzoni, Maurilio, Ferreri, Andrés J.M. , Khajouei, Farzaneh , Sikkink, Kristin , Schmitt, Anthony D. , Xu-Monette, Zijun Y , Møller, Michael Boe , Visco, Carlo , Hsi, Eric D , Lv, Beibei , Wang, Bangchen , Chiu, April , Dybkaer, Karen , Bhagat, Govind , Chen, Weina , Parsons, Benjamin M , Khajouei, Farzaneh , Sikkink, Kristin , Li, Yong , Young, Ken H , Xu‐Monette, Zijun Y. , Tzankov, Alexandar , Cao, Xin , Zu, Youli , Montes‐Moreno, Santiago , Krieken, J. Han van , Ponzoni, Maurilio , Parsons, Benjamin M. , Li, Yong , Hastie, Alex R. , Young, Ken H.

Blood Advances | June 17, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1182/bloodadvances.2026019675 | PMID 42308239 Get It

Diffuse large B-cell lymphoma (DLBCL), the most common type of lymphoma, arises from various pathogenic mechanisms including gene translocations and fusions. Detection of gene rearrangements using fluorescence in situ hybridization (FISH) is a standard practice for DLBCL diagnosis and guides treatment decisions. High-throughput chromosome conformation capture (Hi-C) DNA sequencing is a next-generation sequencing-based technology to identify genome-wide rearrangements using a single assay. In this study, Hi-C sequencing was performed using FFPE tissues from 159 patients with DLBCL, and identified 746 cancer genes at or proximal to the rearrangement breakpoints with a total of 1903 occurrences. Focusing on clinically important rearrangements, Hi-C detected 102 rearrangements of MYC, BCL2, and/or BCL6 in 92 patients and revealed the fusion partners, including 25 rearrangements missed by FISH. Causes of FISH negative results included FISH-cryptic breakpoints, complex or faint FISH signals, low percentage of FISH positivity, and issues related to tissue fixation. Moreover, in 20 patients (12.6%), Hi-C sequencing detected 22 rearrangements characteristic of other lymphoma types, including CCND1 rearrangements that could lead to reclassification as mantle cell lymphoma. Survival analysis for genome-wide rearrangements using machine learning models identified MYC, PD-L1, CCND1, BCL2, NTRK1/PRCC, RRAS, and FANCE rearrangements with significant prognostic effects in the DLBCL cohort. In conclusion, Hi-C sequencing detects gene rearrangements crucial for diagnosis in an unbiased and molecular manner and showed high sensitivity and specificity in our study. These advantages of Hi-C sequencing offer help to improve the workflow of clinical pathology laboratories, diagnostic precision, and treatment of large B-cell lymphoma.