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Trends and outcomes by inpatient and outpatient infusion of axicabtagene ciloleucel (axi-cel) in the US for patients (pts) with relapsed/refractory large B-cell lymphoma (R/R LBCL).
Hemmer, Michael, Tees, Michael, Baird, John H. , McClune, Brian , Jacobson, Caron A. , Dahiya, Saurabh , Yan, Jiali , Kim, Jenny , Pizzi, E, Bonneh‐Barkay, Dafna, Pérez, Waleska S., Feng, Zhongyu, Pasquini, Marcelo C. , Furqan, Fateeha , Holter‐Chakrabarty, Jennifer , Locke, Frederick L. , Hsu, Hil , Lin, Yi

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 7023-7023

10.1200/jco.2025.43.16_suppl.7023 Get It

7023 Background: Axi-cel is an autologous chimeric antigen receptor (CAR) T-cell therapy approved for adults with R/R LBCL after ≥ 1 prior line of therapy (LoT). Adverse events, such as cytokine release syndrome (CRS) and neurologic events (NEs), may deter centers from using axi-cel in an outpatient (OPT) setting, though individual centers have observed comparable safety and effectiveness in OPT and inpatient (IPT) care (Furqan et al. Blood Adv . 2024). Here, we present safety and effectiveness outcomes of axi-cel by intention to treat in OPT and IPT settings in a multicenter real-world dataset. Methods: Pts receiving axi-cel for R/R LBCL in the US from 01/2021-07/2023 with data in the Center for International Blood and Marrow Transplant Research (CIBMTR) registry were eligible for analysis. Pts with prior allogeneic transplant or unknown intended care setting were excluded. Of potential pts, 119 OPT pts were identified from 29 centers where an increasing trend was seen (9.6% of pts in 2021 were OPT, 13.5% in 2022, 22.8% in 2023). Pts were matched to 119 IPT pts by propensity score matching on age, sex, comorbidities, lactate dehydrogenase (LDH), bulky disease, prior LoT, chemosensitivity, and infusion year (see table). Results: OPT pts had median age of 63 y (25% ≥ 70), 66% were male, and 67% had ≥ 1 comorbidity. Half (50%) had elevated LDH and 73% had 1 prior LoT. Bulky disease was reported in 3%, and 60% had chemo-resistant disease. Outcomes were analyzed at median follow-up of 12 mo. Safety and effectiveness outcomes were similar between OPT and IPT pts (see table). In multivariate analyses, no differences were found between intended care setting and CRS (odds ratio [OR] 1.09 [95% CI 0.51-2.35]), CRS Gr ≥ 3 (OR 0.57 [0.12-2.60]), NEs (OR 1.14 [0.65-2.00]), or NEs Gr ≥ 3 (OR 0.98 [0.48-2.00]). Among OPT pts, 24% and 50% did not require hospital admission within 30 d and 3 d, respectively. In pts aged ≥ 70 y, only any Gr NEs were higher in the OPT group. Conclusions: After matching on key factors that may be used to select pts for OPT infusion, outcomes were comparable between intended care settings. These findings corroborate prior results and support the consideration of axi-cel in appropriate OPT care settings. Outcomes between matched pts with R/R LBCL receiving axi-cel intended for OPT or IPT. OPT (n=119) a IPT (n=119) a CRS any Gr / Gr ≥ 3 83 (75−89) / 3 (<1−7) 83 (74−89) / 4 (1−10) NE any Gr / Gr ≥ 3 47 (38−57) / 19 (12−27) 46 (37−56) / 21 (14−30) Overall / complete response rates 78 (69−85) / 68 (59−76) 76 (67−83) / 62 (52-70) Duration of response @ 12 mo 64 (52−74) 69 (58−78) Progression-free survival @ 12 mo 53 (43−62) 53 (43−61) Overall survival @ 12 mo 71 (61−78) 72 (62−79) Non-relapse mortality @ 12 mo 6 (2−11) 4 (1−8) Hospital admission within 30 days of infusion / median duration (range), d 76 (67−83) / 9 (2−53) Not Applicable a Percent (95% CI) unless otherwise specified.
AAPM Task Group No. 249.B—Essentials and guidelines for clinical medical physics residency training programs
Nye, Jonathon A. , Dugas, Joseph P., Erwin, William D. , Gierga, David P., Kaurin, D.G., Leon, Stephanie , Liu, Ho‐Ling , Lu, Zheng Feng , Magri, Alphonso, Rill, Lynn, Schubert, Leah , Schueler, Beth A. , Vergalasova, Irina , Vetter, John, Wichman, Brian, Yu, Amy S. , Leon, Stephanie M , Liu, Ho-Ling Anthony , Yu, Amy Shu-Jung , Zheng, Dandan , Zheng, Dandan

Journal of Applied Clinical Medical Physics | May 19, 2025 | Volume: 26 | Issue: 6 | Pages: No page available

10.1002/acm2.70111 | PMID 40387591 Get It

Abstract The establishment of guidelines and curriculum standards for medical physics residency training is a critical component of setting expectations and competencies for the profession. Since the last publication of these standards, residency training has become integrated into the eligibility criteria for most medical physics certification bodies. The rapid growth of medical physics requires periodic review of the curriculum to remove outdated approaches, update established knowledge, and add emerging technologies. The goal of this document is to provide a reference standard for residency training program directors, training mentors, and residents to guide creation and/or optimization of their program's curriculum. The document is intentionally forward‐looking to capture emerging technological advances including hybrid diagnostic and therapeutic delivery systems and applications of image processing. This document is an update of the current residency training curriculum. Version history of residency training guidelines Publication Title Date 2013 Essentials and Guidelines for Clinical Medical Physics Residency Training Programs—AAPM Report No. 249 2006 Essentials and Guidelines for Hospital‐Based Medical Physics Residency Training Programs—Report No. 90 1992 Essentials and Guidelines for Hospital‐Based Medical Physics Residency Training Programs—Report No. 36 The Work Group on Periodic Review of Medical Physics Residency Training (WGMPRT) would like to acknowledge the authors of past versions of this document as they form the basis for this update. It is the sincere hope of the WGMPRT that this report will continue to be used by the medical physics community to guide training in the profession.
Sirolimus Use During Pregnancy in Women With Lymphangioleiomyomatosis
Krishna, R. Vijay , Baqir, Misbah , Girod, C, Krishna, R., Johnson, Simon R. , Ataya, Ali , Baldi, Bruno Guedes , Diesler, Rémi , Henske, Elizabeth P. , Xu, Kai‐Feng , Gupta, Nishant

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A1135-A1135

10.1164/ajrccm.2025.211.abstracts.a1135 Get It

Abstract Background: Lymphangioleiomyomatosis (LAM) is a rare, female-predominant, low-grade neoplasm that can lead to progressive diffuse cystic lung disease. Pregnancy has been associated with accelerated disease progression and increased risk of spontaneous pneumothoraces in women with LAM. Sirolimus is the current first line treatment for LAM and has demonstrated benefit in stabilizing lung function decline and reducing the risk of spontaneous pneumothoraces; however, there is unclear evidence regarding the risk benefit ratio of the use of sirolimus during pregnancy. Methods: We queried physicians across the LAM Clinic Network and obtained information regarding demographics, baseline characteristics, LAM related complications, lung function, sirolimus dosing, and pregnancy outcomes in women with LAM who took sirolimus during pregnancy. Results: We identified 9 women with LAM who had used sirolimus during pregnancy for a total of 12 pregnancies. All women had sporadic LAM with moderate lung function impairment prior to pregnancy: median FEV1 56% predicted, median DLCO 43% predicted, and 2 patients on supplemental oxygen. Sirolimus was used throughout pregnancy in most instances (10/12 (83.3%)). Sirolimus was held prior to pregnancy in 2 patients; both these patients experienced a spontaneous pneumothorax in the first trimester and resumed sirolimus in the second trimester with no further pneumothoraces during the rest of the pregnancy. The median sirolimus dose during pregnancy was 1 (range 1-2) mg daily with a median trough level of 2.95 (range: 1 – 6.7) ng/ml. Ten pregnancies (83.3%) resulted in live births, 1 pregnancy was terminated due to molar pregnancy, and 1 pregnancy resulted in miscarriage. Spirometry and DLCO were available in 8 pregnancies and tended to be stable (Figure 1). None of the 10 pregnancies that resulted in live births reported any fetal health issues. Seven out of these 10 children (70%) were breastfed with continued sirolimus use. At the time of submission of this report, the median age of these children is 3.5 years (range: 1 – 6.5 years) with no reported adverse health outcomes from sirolimus exposure during pregnancy. Conclusions: The use of sirolimus during pregnancy in women with LAM appears to be safe for both mother and fetus and might help reduce the pregnancy associated risks of accelerated lung function decline and spontaneous pneumothoraces.
Acalabrutinib Plus Bendamustine-Rituximab in Untreated Mantle Cell Lymphoma
Wang, Michael , Song, Yuqin, Jurczak, Wojciech, Kahl, Brad S. , Chu, Michael P., Kryachok, Iryna, Fogliatto, Laura, Cheah, Chan Y. , Morawska, Marta , Li, Yufu, Patti, Caterina , Forsyth, Cecily , Lesley, Robin, Ramadan, Safaa, Rule, Simon, Dreyling, Martin , investigators, for the ECHO, Cazap, Nicolás, Foncuberta, María Cecilia, Garate, Gonzalo, Gustavo, Jarchum, Pavlovsky, Miguel Arturo , Riveros, Dardo, Baker, Ross, Butler, Jason, Cannell, Paul , Cheah, Chan, Forsyth, Cecily, Giri, Pratyush, Johnston, Amanda, Lee, Denise , Lee, Hui‐Peng, Mapp, Sally, Roncolato, Fernando , Thant, Aung , Walker, Patricia, Doo, Nicole Wong, Demuynck, Hilde, Offner, Fritz , Hende, Vanessa Van, Vergote, Vibeke, Wu, Ka Lung , Chiattone, Carlos, Azevedo, Sergio de, Fogliatto, Laura, Fonseca, Ana, Hamerschlak, Nelson, Lazaretti, Nicolas, Rocha, Vanderson, Salvino, Marco, Santucci, Rodrigo, Schaan, Mariza, Scheliga, Adriana, Vieira, Garles Miller, Berinstein, Neil, Boutin, Mélina , Chu, Michael, Keating, Mary‐Margaret, Schattner, Ariah, Restrepo, Diego Villa, Cen, Xinan, Du, Xin, Feng, Ru, Gao, Sujun, Huang, Haiwen, Ji, Jie, Jin, Jie, Ke, Xiaoyan, Li, Dengju, Li, Fei, Li, Jianyong, Li, Junmin, Li, Yan, Li, Yufu, Li, Zhenyu, Lin, Li'e, Liu, Tingbo, Lv, Fangfang , Shuang, Yuerong, Sun, Lan, Sun, Xiuhua, Wang, Zhao, Wu, Huijing, Xi, Yaming, Xia, Ruixiang, Xue, Hongwei, Yang, Haiyan, Yi, Shuhua, Zhang, Cheng, Zhang, Huilai, Zhang, Mingzhi, Zhang, Qingyuan, Zhao, Xielan, Zhou, Hui, Hajek, Roman, Jindra, Pavel , Mayer, Jiri, Novak, Jan, Abraham, Julie, Bijou, Fontanet, Bouabdallah, Kamal , Cymbalista, Florence, Guilbert, Sophie, Laribi, Kamel, Rodon, Philippe, Decker, Thomas, Dreger, Peter, Dreyling, Martin, Hess, Georg, Lenz, Georg, Stilgenbauer, Stephan, Tummes, Dirk, Anargyrou, Konstantinos , Dimopoulos, Meletios-Athanassios, Kapsali, Eleni, Kyriakou, Despoina, Panayiotidis, Panayiotis, Pappa, Vasiliki , Stavroyianni, Niki, Cheng, Hoi Ching, Kwong, Yok-Lam, Lee, Harold, Ng, Ting Ying, Wong, Raymond, Borbényi, Zita , Illés, Árpád, Lázár, Zsolt, Nagy, Ágnes , Nagy, Zsolt, Schneider, Tamas, Avivi, Irit, Gurion, Ronit, Horowitz, Netanel, Ronson, Aaron, Arcaini, Luca, Boccomini, Carola, Ghia, Paolo, Luminari, Stefano, Plenteda, Caterina, Santoro, Armando, Zilioli, Vittorio Ruggero, Zinzani, Pier Luigi, Choi, Ilseung , Ennishi, Daisuke , Ichikawa, Satoshi, Ishikawa, Takayuki, Izutsu, Koji, Kato, Koji, Maruyama, Dai, Nagai, Hirokazu, Ota, Shuichi, Saito, Toko, Sakai, Rika, Suzuki, Ritsuro, Uoshima, Nobuhiko , Yano, Takahiro, Yoshida, Isao, Eom, Ki-Seong, Kim, Jin Seok, Kim, Seok Jin, Lee, Jung-Hee, Mun, Yeung Chul, Yoon, Sung Soo , Arreguin, Elsa Veronica Avila, Andrade, Adriana Dominguez, Almaguer, David Gómez, Vera, Maria Silvia Rivas, Anaya, Luis Solís, Berkahn, Leanne, Pemberton, Lucy, Simpson, David, Beltrán, Brady, Quintana, Shirely, Revilla, Jose Carlos, Vargas, Ernesto, Grosicki, Sebastian , Hałka, Janusz , Jedrzejczak, Wieslaw, Knopińska-Posłuszny, Wanda, Krzanowski, Jacek, Lech-Maranda, Ewa, Robak, Tadeusz, Rzepecki, Piotr , Wróbel, Tomasz, Borsaru, Gabriela, Ciuleanu, Tudor Eliade, Danaı̈la, Catalin, Lazaroiu, Mihaela, Alexeeva, Julia, Chistyakov, Valeriy, Manikhas, Georgy, Mikhailova, Natalia, Proydakov, Andrey, Volodicheva, Elena , Voloshin, Sergey, Bastos, Mariana, Cordoba, Raul, Codina, José , Gonzalez, Eva Maria, Marin, Ana, Panizo, Carlos, Rodriguez, Guillermo, Salar, Antonio, Sancho, Juan-Manuel, Velo, Jose A, Chiu, Chang-Fang, Hsiao, Liang-Tsai, Kuo, Ching-Yuan, Lin, Tung-Liang, Lysa, Tamila, Maslyak, Zvenyslava, Nogaieva, Larysa, Polenkov, Sergey, Usenko, Ganna, Agajanian, Richie, Anz, Bertrand, Chaudhry, Arvind, Chiu, Alden , Cultrera, Jennifer, D’Olimpio, James, Dunleavy, Kieron, Fanning, Suzanne, Flinn, Ian, Gabrail, Nashat, Gallinson, David, Goldenberg, Alec, Graf, Solomon, Grover, N., Hess, Brian, Hoffman, Marc, Isufi, Iris, Kahl, Brad, Kambhampati, Suman , Kirkel, Dean, Diaz, Guillermo Lazo, Levy, Moshe, Liu, Delong, Mead, Monica , Paludo, Jonas, Patel, Anjan, Peles, Shachar, Persky, Daniel, Portell, Craig, Rosenthal, Allison, Sano, Dahlia , Smith, Sonali , Smith, Stephen, Spurgeon, Stephen, Tache, Jason, Tsai, Michaela, Veltri, Lauren, Wang, Michael, Yimer, Habte, Bach, Quoc Khanh, Đỗ, Huyền Nga, Luu, Hung Vu, Khoa, Trọng, Phạm, Như Hiệp, Panizo, Carlos , Kriachok, Iryna , Kahl, Brad S , Paludo, Jonas , Cheah, Chan Yoon , Morawska, Marta , Sancho, Juan-Manuel , Forsyth, Cecily , Dreyling, Martin , Belada, David , Song, Yuqin , Paludo, Jonas , Fogliatto, Laura , Zhang, Jingyang , Lesley, Robin, Ramadan, Safaa Mahmoud , Garate, Gonzalo, Riveros, Dardo Alberto, Cannell, Paul , Cochrane, Tara , Giri, Pratyush, Mapp, Sally , Doo, Nicole Wong , Demuynck, H, Hende, Vanessa Van, Vergote, Vibeke K. J. , CHIATTONE, CARLOS SÉRGIO , Farias, João Samuel de Holanda , Fonseca, Ana Rita Da , Rocha, Vanderson , Oliveira, José Salvador Rodrigues de , Scheinberg, Phillip , Scheliga, Adriana , Vieira, Garles Miller Matias , Berinstein, Neil Lorne , Shuang, Yuerong , Hájek, Roman , Mayer, Jiřı́ , Bijou, Fontanet , Cymbalista, Florence, Delwail, Vincent , Genet, Philippe , Dreger, Peter , Heß, Georg , Lenz, Georg , Stilgenbauer, Stephan , Kapsali, Eleni , Katodritou, Eirini , Kyriakou, Despoina S, Panayiotidis, Panayiotis G. , Symeonidis, Argiris , Schneider, Tamas J., Avivi, Irit, Gurion, Ronit , Horowitz, Netanel A. , Arcaini, Luca , Boccomini, Carola , Luminari, Stefano , Santoro, Armando, Zilioli, Vittorio Ruggero , Zinzani, Pier Luigi , Fukushima, Kentaro , Izutsu, Koji , Maruyama, Dai , Tatetsu, Hiro , Kim, Sang‐A , Oh, Sung Yong , Arreguin, Elsa Ávila, Gómez‐Almaguer, David , Issa, Samar , Revilla, Jose C., Vargas, Ernesto, Lech-Maranda, Ewa, Robak, Tadeusz , Borsaru, Gabriela, Ciuleanu, Tudor–Eliade , Danaila, Catalin-Doru , Alexeeva, Julia, Briones, Javier , Salar, Antonio , Yuste, Victor Jimenez, Chen, Chien‐Yuan , Kuo, Ching‐Yuan, Anz, Bertrand, Cultrera, Jennifer L. , D’Olimpio, James, Dunleavy, Kieron , Gabrail, Nashat , Gallinson, David, Goldenberg, Alec S., Goy, Andre Henri , Graf, Solomon A. , Hess, Brian, Kirkel, Dean, Portell, Craig A. , Rosenthal, Allison , Stevens, Don, Veltri, Lauren Westfall , Yimer, Habte, Tran, Thanh Tung

Journal of Clinical Oncology | May 1, 2025 | Volume: 43 | Issue: 20 | Pages: 2276-2284

10.1200/jco-25-00690 | PMID 40311141 Get It

PURPOSE The combination of the Bruton tyrosine kinase inhibitor ibrutinib with bendamustine-rituximab for first-line treatment of mantle cell lymphoma (MCL) prolonged progression-free survival (PFS), but without improvement in overall survival (OS), likely because of toxicity. Acalabrutinib was shown to be efficacious and less toxic than ibrutinib in a head-to-head trial in chronic lymphocytic leukemia and therefore might lead to better outcomes in MCL. METHODS Patients 65 years and older with previously untreated MCL received acalabrutinib (100 mg twice daily) or placebo (until disease progression or unacceptable toxicity), plus six cycles of bendamustine (90 mg/m 2 once daily; days 1 and 2) and rituximab (375 mg/m 2 as a single dose; day 1) followed by rituximab maintenance in responding patients for 2 years. Crossover to acalabrutinib at disease progression was permitted. The primary end point was PFS per the independent review committee; overall response rate and OS were secondary end points. RESULTS In total, 598 patients were randomly assigned, with 299 in each arm. At a median follow-up of 49.8 months using the reverse Kaplan-Meier method, the median PFS was 66.4 months in the acalabrutinib arm and 49.6 months in the placebo arm (hazard ratio [HR], 0.73 [95% CI, 0.57 to 0.94]; P = .0160). Benefit was seen across all subgroups, including those with high-risk features. Overall response/complete response rates were 91.0%/66.6% and 88.0%/53.5% in the acalabrutinib and placebo arms, respectively. OS was not significantly different (HR, 0.86 [95% CI, 0.65 to 1.13]; P = .27). Grade 3 or greater adverse events were reported in 88.9% and 88.2% in the acalabrutinib and placebo arms, respectively. CONCLUSION The combination of acalabrutinib with bendamustine-rituximab significantly improved PFS. Clinical benefit of acalabrutinib with bendamustine-rituximab was achieved with manageable toxicity.
Abstract 4999: Multi-omics insights into the molecular signature and prognosis of hypopharyngeal squamous cell carcinoma
Ren, Yanxin , Feng, Chun , Yu, Dan , Wang, Xiaoyan , Yu, Siting, Zhang, Hongjiang, Huo, Bo , Jiang, Honglu, Li, Zuli, Wang, Junlin , Zhong, Qi , Xiong, Wei, Yang, Qin , Zhang, Hongjiang, Huo, Bangyun, Su, Yu‐Xiong , Yang, Ping , Liao, Yong , Wang, Junwen

Cancer Research | April 21, 2025 | Volume: 85 | Issue: 8_Supplement_1 | Pages: 4999-4999

10.1158/1538-7445.am2025-4999 Get It

Abstract Approximately two-thirds of hypopharyngeal squamous cell carcinoma (HPSCC) are diagnosed in advanced stage, with the worst prognosis among head and neck squamous cell carcinomas (HNSCCs). Identifying biomarkers for high-risk patients who need aggressive treatment is crucial. We present mutational, transcriptomic and proteomic studies of 103 Chinese HPSCC patients, observing a higher prevalence and poorer prognosis in males comparing to females. Genes in estrogen response pathways are up-regulated and proteins phosphorylated by protein kinase C (PKC) and Cyclin-dependent kinases (CDKs) are aberrantly regulated. We identify aberrant copy number regions including SOX2 (3q26.33), FGFR (8p11.23), CCND1 (11q13.3), CDKN2A/2B (9p21.3), and MYC (8q24.21). HPV status combined with highly mutated genes as predictive markers was assessed, including SYNE1 in HPV(-), MUC4 in HPV(+) patients. We confirm the presence of four known gene expression (GE) subtypes of HNSCC in our HPSCC cohort and present the genomic alterations, patient characteristics and survival status of each subtype. A predictive model involving clinical factors and transcriptomic expression of six genes was established and cross-site validated. The findings open new opportunities for stratifying high-risk patients and molecular targets for novel therapeutic strategies. Citation Format: Yanxin Ren, Wei Xiong, Chun Feng, Dan Yu, Xiaoyan Wang, Qing Yang, Siting Yu, Hongjiang Zhang, Bangyun Huo, Honglu Jiang, Zuli Li, Junlin Wang, Yu-Xiong Su, Ping Yang, Yong Liao, Qi Zhong, Junwen Wang. Multi-omics insights into the molecular signature and prognosis of hypopharyngeal squamous cell carcinoma [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 4999.
Artificial intelligence image analysis for Hounsfield units in preoperative thoracolumbar CT scans: an automated screening for osteoporosis in patients undergoing spine surgery
Feng, Emily , Machlab, Laura A., Freedman, Brett A. , Bydon, Mohamad , Jayasuriya, Nishantha M, Katsos, Konstantinos, Jayasuriya, Nishantha M., Nathani, Karim Rizwan , Katsos, Konstantinos D. , Johnson, Graham W. , Freedman, Brett A.

Journal of Neurosurgery: Spine | April 18, 2025 | Volume: 43 | Issue: 1 | Pages: 1-8

10.3171/2025.1.spine24900 | PMID 40250051 Get It

OBJECTIVE This study aimed to develop an artificial intelligence (AI) model for automatically detecting Hounsfield unit (HU) values at the L1 vertebra in preoperative thoracolumbar CT scans. This model serves as a screening tool for osteoporosis in patients undergoing spine surgery, offering an alternative to traditional bone mineral density measurement methods like dual-energy x-ray absorptiometry. METHODS The authors utilized two CT scan datasets, comprising 501 images, which were split into training, validation, and test subsets. The nnU-Net framework was used for segmentation, followed by an algorithm to calculate HU values from the L1 vertebra. The model’s performance was validated against manual HU calculations by expert raters on 56 CT scans. Statistical measures included the Dice coefficient, Pearson correlation coefficient, intraclass correlation coefficient (ICC), and Bland-Altman plots to assess the agreement between AI and human-derived HU measurements. RESULTS The AI model achieved a high Dice coefficient of 0.91 for vertebral segmentation. The Pearson correlation coefficient between AI-derived HU and human-derived HU values was 0.96, indicating strong agreement. ICC values for interrater reliability were 0.95 and 0.94 for raters 1 and 2, respectively. The mean difference between AI and human HU values was 7.0 HU, with limits of agreement ranging from −21.1 to 35.2 HU. A paired t-test showed no significant difference between AI and human measurements (p = 0.21). CONCLUSIONS The AI model demonstrated strong agreement with human experts in measuring HU values, validating its potential as a reliable tool for automated osteoporosis screening in spine surgery patients. This approach can enhance preoperative risk assessment and perioperative bone health optimization. Future research should focus on external validation and inclusion of diverse patient demographics to ensure broader applicability.
Development and Validation of an Artificial Intelligence Digital Pathology Biomarker to Predict Benefit of Long-Term Hormonal Therapy and Radiotherapy in Men With High-Risk Prostate Cancer Across Multiple Phase III Trials
Armstrong, Andrew J. , Liu, Vinnie Y.T. , Selvaraju, Ramprasaath R., Chen, Emmalyn , Simko, Jeffry, DeVries, Sandy, Sartor, Oliver , Sandler, Howard M. , Mohamad, Osama , Huang, Huei–Chung, Griffin, Jacqueline , Esteva, Andre , Carson, John H., Peters, Christopher A., Gore, Elizabeth , Monson, Jedidiah M., Augspurger, Mark E., El‐Gayed, Ali , Rodgers, Joseph P., McKay, Rana R. , Morgan, Todd M. , Feng, Felix Y. , Nguyen, Paul L. , Tran, Phuoc T , Spratt, Daniel E , Lee, Steve P , El-Gayed, Ali , McKay, Rana R , Morgan, Todd M , Feng, Felix Y , Sartor, A Oliver , Sandler, Howard M , Armstrong, Andrew J , Yamashita, Rikiya , Spratt, Daniel E. , Carson, John Hi

Journal of Clinical Oncology | April 16, 2025 | Volume: 43 | Issue: 32 | Pages: 3494-3504

10.1200/jco.24.00365 | PMID 40239134 Get It

PURPOSE Long-term androgen deprivation therapy (ADT) improves survival in men with high-risk localized prostate cancer (PCa) receiving radiotherapy (RT). Predictive biomarkers are needed to guide ADT duration. METHODS A multimodal artificial intelligence (MMAI)–derived predictive biomarker was trained for long-term (LT) versus short-term (ST) ADT using pretreatment digital prostate biopsy images and clinical data (age, prostate-specific antigen, Gleason, and T stage) from six NRG Oncology phase III randomized radiotherapy trials. The novel MMAI-derived biomarker was developed to predict the differential benefit of LT-ADT on the primary end point, distant metastasis (DM). MMAI predictive utility was validated on a seventh randomized trial, RTOG 9202 (N = 1,192), which randomly assigned men to RT + ST-ADT (4 months) versus RT + LT-ADT (28 months). Fine-Gray and cumulative incidence analyses for DM, and secondarily, death with DM, were performed. Deaths without DM were treated as competing risks. RESULTS In the validation cohort (median follow-up, 17.2 years), LT-ADT significantly improved DM from 26% to 17% (subdistribution hazard ratio [sHR], 0.64 [95% CI, 0.50 to 0.82], P < .001). A significant biomarker-treatment predictive interaction was observed ( P = .04) for DM, whereby MMAI biomarker–positive men (n = 785, 66%) had reduced DM with LT-ADT versus ST-ADT (sHR, 0.55 [95% CI, 0.41 to 0.73], P < .001), whereas no treatment benefit was observed for MMAI biomarker–negative men (n = 407; sHR, 1.06 [95% CI, 0.61 to 1.84], P = .84). The estimated 15-year DM risk difference between RT + LT-ADT and RT + ST-ADT was 14% in MMAI biomarker–positive men and 0% in MMAI biomarker–negative men. The MMAI biomarker was also prognostic for DM, irrespective of treatment (sHR, 2.35 [95% CI, 1.72 to 3.19], P < .001). CONCLUSION To our knowledge, the MMAI model is the first validated predictive biomarker to guide ADT duration with RT in localized/locally advanced PCa. Approximately one third of men with high-risk PCa could safely be spared the additional 24 months of ADT and the associated morbidity.
Approaches to reduce succinate accumulation by restoration of succinate dehydrogenase activity in cultured adrenal cells
Khazal, Fatimah Al, Rahimi, Leili , Feng, Fan , Becker, Nicole A. , Maher, L. James , Al Khazal, Fatimah, Folmes, Clifford D, III, Louis James Maher , Feng, Fan, Folmes, Clifford D.L. , Favier, Judith

Journal of Cell Science | April 16, 2025 | Volume: 138 | Issue: 9 | Pages: No page available

10.1242/jcs.263925 | PMID 40235395 Get It

ABSTRACT The rare human neuroendocrine tumors pheochromocytoma and paraganglioma (PPGL) can result from loss of mitochondrial succinate dehydrogenase. The resulting succinate accumulation is tumorigenic in certain neuroendocrine cells. Here, we explore two theoretical approaches to mitigate tumorigenic succinate accumulation in a cell culture model of PPGL. We first study a gene replacement strategy using transposition technology, and conclude that many of the changes in mitochondrial morphology, oxidative cell metabolism and succinate accumulation can be reversed by this process. We then investigate whether riboflavin supplementation has the potential to rescue succinate dehydrogenase activity in the intact SDHA catalytic subunit to suppress succinate accumulation even in the absence of SDHB. We show that this latter strategy is not successful.
The Risk of Type 2 Diabetes among Older Asian, Native Hawaiian, and Pacific Islander Colorectal Cancer Survivors: A Population-Based Study Using the SEER–Medicare Database
Liu, Kuang‐Yu , Chang, Chun-Pin E. , Lloyd, Shane , Tao, Randa , Nguyen, Timothy , Zhang, Zuo‐Feng , Hashibe, Mia, Liu, Kuangyu , Chang, Chun-Pin Esther , Hashibe, Mia , Lloyd, Shane L , Tao, Randa

Cancer Epidemiology, Biomarkers & Prevention | April 14, 2025 | Volume: 34 | Issue: 6 | Pages: 998-1006

10.1158/1055-9965.epi-25-0037 | PMID 40227116 Get It

Abstract Background: Although colorectal cancer survival rates are improving, the risk of incident type 2 diabetes mellitus (T2D) among Asian, Native Hawaiian, and Pacific Islander (ANHPI) ethnic groups is poorly understood. This study aims to identify high-risk groups and quantify the risk across different periods. Methods: Using the SEER–Medicare database, colorectal cancer survivors who were ANHPI were matched to non-Hispanic White (NHW) survivors at a ratio of 1:3. Multivariable Cox regression models computed HRs and 95% confidence intervals (CI) for incident T2D. Results: The study included 6,463 NHW and 2,901 ANHPI colorectal cancer survivors diagnosed between 2000 and 2017. Among them, 715 NHW and 484 ANHPI developed T2D during 39,097 and 10,769 person-years of follow-up, respectively. ANHPI colorectal cancer survivors had an elevated T2D risk compared with NHW across all follow-up periods (HRoverall: 1.84, 95% CI, 1.51–2.25; HR1–5 years: 1.83, 95% CI, 1.45–2.30). Southeast and East Asians demonstrated the highest T2D risks. Colon cancer was linked to early postdiagnosis T2D risk, whereas rectal cancer was associated with later risk. No significant association was observed for Native Hawaiians and Pacific Islanders. Conclusions: ANHPI colorectal cancer survivors face a greater risk of T2D, particularly among Southeast and East Asians. These findings highlight the need for evidence-based survivorship strategies to prevent T2D and reduce ethnic disparities. Impact: This is the first study to examine T2D risk among ANHPI colorectal cancer survivors, providing critical insights to inform tailored diabetes prevention and survivorship care.
CD27 and ICOS as targets of PD-1/PD-L1 signaling to regulate resident memory CD8+ T cells mediated pulmonary protection and pathology
Chen, Yuanyuan , Pan, Tao , Pan, Jianli, Zhao, Sheng , Shang, Ting , Xu, Hong’en , Lv, Xing , Kang, Fei , Zhao, Feng , Wang, Zheng , Wang, Zhenzhen , Song, Liqiang , Zhang, Hang , Li, Jing , Nie, Yongzhan , Shi, Lei

No container title available | April 11, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-6316326/v1 Get It

Abstract While tissue-resident memory CD8+ T cells (TRM cells) provide superior frontline defense against pathogens, the molecular mechanisms governing their persistence and functional regulation remain poorly defined. Our study reveals that the costimulatory receptors CD27 and ICOS coordinately sustain PD-1high CD8+ TRM cell populations following resolution of acute influenza infection. These costimulatory signals serve as critical targets for PD-1/PD-L1 blockade, thereby facilitating the rejuvenation of PD-1high TRM cells and influencing the progression of fibrotic sequelae during the memory phase. Mechanistic dissection identifies the nuclear receptor Nur77 (NR4A1) as the convergent transcriptional hub downstream of CD27/ICOS, governing proliferative renewal and maintenance of PD-1high TRM cells. Therapeutic administration of a CD27 agonist not only amplified this TRM cell subset in late-stage memory but also conferred cross-protective immunity against heterosubtypic viral challenges. Clinically, the expression of CD27 and ICOS is enriched in CD8+ T cells within the lung tissues of patients with pulmonary fibrosis. Collectively, our findings establish the "CD27/ICOS-NR4A1-Proliferation" axis as a linchpin of PD-1/PD-L1-mediated TRM cell homeostasis, revealing druggable targets for intercepting infection-associated fibrotic progression.