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

Comparing impact of treatment before or after surgery in patients with stage II-IIIb resectable non-small cell lung cancer (NSCLC; Alliance A082304-SWOG S2402).
Aljumaily, Raid, Mandrekar, Sumithra J. , Zhao, Ying‐Qi , Martin, Linda W. , Hillman, Shauna L., Chiang, Anne C. , Stinchcombe, Tom, Gray, Jhanelle E. , Morgensztern, Daniel , Kozono, David , Osarogiagbon, Raymond U. , Stinchcombe, Thomas E.

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.tps8113 Get It

TPS8113 Background: There are currently three approved approaches for patients with resectable NSCLC including neoadjuvant chemoimmunotherapy, adjuvant chemoimmunotherapy and perioperative treatment with neoadjuvant chemoimmunotherapy followed by adjuvant immunotherapy. All regimens were approved after showing event-free survival (EFS) or disease-free survival (DFS) benefit with the addition of immunotherapy to chemotherapy compared to chemotherapy alone. Each approach has its benefits and risks. Starting immunotherapy prior to surgery may improve treatment compliance and efficacy of immunotherapy. Nevertheless, neoadjuvant chemoimmunotherapy may result in missing an opportunity for curative surgery and increase the complexity of tumor resection. PROSPECT-LUNG (NCT06632327) is a randomized study evaluating whether starting chemoimmunotherapy before or after surgery leads to better outcomes. Methods: This is a randomized phase 3 trial in which patients will be randomized 1:1 to surgery followed by chemoimmunotherapy (adjuvant arm) or neoadjuvant chemoimmunotherapy followed by surgery and adjuvant therapy (perioperative arm). Patients with histologic or cytologic confirmation of surgically resectable stage IIA-IIIB NSCLC (per AJCC 9th edition) or stage IIA to IIIB per AJCC 8 th edition up to single ipsilateral mediastinal station (N2a), ECOG PS ≤ 2 (or Karnofsky ≥ 60%), no prior treatment for NSCLC and no previous malignancy within 3 years are eligible. The dual primary endpoints are real-world event free survival (rwEFS) defined as date from randomization to date of the first of the following events: failure to undergo resection for any reason, progression prior to surgery that precludes resection, recurrence or progression at any time after surgery or death from any cause, and overall survival (OS) defined as time from randomization to death from any cause. The target accrual is 1,100 patients assuming one-sided type I error of 0.03 for OS endpoint and 0.02 for rwEFS endpoint. This sample size will enable the detection of a 3-year rwEFS improvement from 55% in the adjuvant therapy arm to 64% in the perioperative arm with an 84% power. This sample size would detect an HR of 0.73 (improvement in median OS from 8.1 to 11 years in favor of the perioperative arm, 5-year OS from 65% in the adjuvant arm to 73% in the perioperative arm, assuming exponential survival) with 83.6% power. The study has a pragmatic design with minimal data collection, reporting of adverse events that lead to discontinuation of therapy, hospitalization or death only. It allows providers to choose therapy per standard of care (FDA approved or on NCCN), includes patients with ECOG performance status 2, permits use of local laboratory testing and imaging studies and determination of recurrence/progression will be done by local treating physicians with no use of RECIST. Clinical trial information: NCT06632327 .
Propensity score (PS) comparison between lisocabtagene maraleucel (liso-cel) plus ibrutinib combination therapy (combo) and liso-cel monotherapy (mono) cohorts from TRANSCEND CLL.
Dorritie, Kathleen , Nath, Rajneesh , Brander, Danielle M. , Shah, Nirav N. , Ou, San‐San , Sengupta, Sanhita , Wang, Jixian , Tuazon, Sherilyn A. , Ananthakrishnan, Revathi , Wierda, William G. , Gauthier, Jordan , Soumerai, Jacob D. , Kenderian, Saad S. , Riedell, Peter A. , Ermann, Daniel A. , Ray, Pradipta Ranjan , Siddiqi, Tanya

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: 7037-7037

10.1200/jco.2025.43.16_suppl.7037 Get It

7037 Background: TRANSCEND CLL 004 (NCT03331198) is a phase 1/2, open-label, nonrandomized, multicohort study in adult patients (pt) with R/R chronic lymphocytic leukemia/small lymphocytic lymphoma with liso-cel mono and liso-cel + ibrutinib combo cohorts. Given the study design, we performed PS matching/weighting to adjust for differences in key covariates between cohorts to compare efficacy and safety. Methods: Here, PS is the probability of receiving combo given the covariates and estimated by logistic regression. Covariates were hemoglobin, LDH, number of prior therapies, platelets, prior BTKi + venetoclax exposure, R/R on prior BTKi, and bulky disease for efficacy; and ALC, bulky disease, CRP, ferritin, and number of prior therapies for safety. PS balancing methods were optimal 1:1 matching, average treatment effect for treated pts (ATT) full matching, and ATT inverse probability of treatment weighting (IPTW). Efficacy endpoints were response (CR rate, ORR) and time to event endpoints (DOR, PFS, OS). Safety endpoints were proportions of pts with any-grade (gr)/gr ≥ 3 cytokine release syndrome (CRS) and investigator-identified neurological events (NE). Results: Fifty-one and 88 efficacy-evaluable pts were treated at dose level 2 (100 × 10 6 CAR + T cells) in the combo and mono cohorts, respectively. Before matching/weighting on PS, odds of achieving CR and overall response were statistically significantly higher for combo (Table). DOR did not differ between cohorts. For PFS and OS, HRs were lower with combo vs mono (not statistically significant [NS]). Odds of gr ≥ 3 CRS/NE were lower with combo vs mono (NS). After matching/weighting, odds of CR (except IPTW ATT) and overall response remained statistically significantly higher in combo. HRs for PFS and OS and ORs for gr ≥ 3 CRS/NE were numerically lower with combo vs mono (NS, except IPTW ATT for PFS). HRs for DOR were less but close to HR of 1. Conclusions: The liso-cel + ibrutinib combo demonstrated a trend for better efficacy and safety vs liso-cel mono, with statistically significant differences for CR rate and ORR. Clinical trial information: NCT03331198 . Efficacy and safety outcomes: combo vs mono. No adjustment ATT optimal 1:1 IPTW - ATT CR rate, OR (95% CI) 2.07* (1.01–4.28) 2.40* (1.05–5.66) 2.00(0.89–4.61) ORR, OR (95% CI) 3.96* (1.68–10.51) 3.43* (1.33–9.71) 4.18* (1.63–11.78) DOR, HR (95% CI) 0.98(0.51–1.87) 0.88(0.43–1.78) 0.96(0.50–1.85) PFS, HR (95% CI) 0.62(0.37–1.02) 0.61(0.35–1.05) 0.59* (0.35–0.98) OS, HR (95% CI) 0.70(0.38–1.28) 0.73(0.37–1.43) 0.66(0.36–1.22) CRS, OR (95% CI) 0.63(0.26–1.56) 0.67(0.24–1.84) 0.69(0.24–1.88) Gr ≥ 3 CRS, OR (95% CI) 0.23(0.01–1.35) 0.49(0.02–5.28) 0.26(0.01–1.94) NE, OR (95% CI) 0.84(0.41–1.68) 0.92(0.40–2.08) 1.10(0.48–2.52) Gr ≥ 3 NE, OR (95% CI) 0.56(0.19–1.45) 0.58(0.16–1.89) 0.68(0.19–2.30) *Statistically significant difference at 5% level.
Logic-gated, allogeneic Tmod chimeric antigen receptor T-cell (CAR T) therapy targeting epidermal growth factor receptor (EGFR) in advanced solid tumors with human leukocyte antigen (HLA) loss of heterozygosity (LOH): DENALI-1 trial.
Ulrickson, Matthew L. , Wong, Deborah J. , Sunwoo, John B. , Molina, Julian R. , Maloney, David G. , Bayne, Harry E. Fuentes, Grierson, Patrick , Langeberg, Wendy J., Go, William Y., Ng, Eric Wai-Choi , Welch, John S. , Hecht, J. Randolph, Specht, Jennifer M. , Specht, Jennifer , Kirtane, Kedar , Park, Jong Chul , Maus, Marcela V , Punekar, Salman R. , Locke, Frederick L. , Davila, Marco L , Shatsky, Rebecca

Journal of Clinical Oncology | May 28, 2025 | Volume: 43 | Issue: 16_suppl | Pages: No page available

10.1200/jco.2025.43.16_suppl.tps2677 Get It

TPS2677 Background: Despite the success in hematologic malignancies, CAR T therapies face significant challenges in solid tumors due to the lack of tumor-specific targets that distinguish cancer from normal cells. EGFR plays a critical role in oncogenesis across several cancers and is often upregulated (TCGA 2022). While monoclonal antibodies targeting EGFR have demonstrated efficacy, these approaches are often limited by on-target, off-tumor toxicities, such as skin rash, which constrains dose escalation and efficacy (Macdonald, et al. J Am Acad Dermatol . 2015). A2B395 is an allogeneic, logic-gated, EGFR-targeted Tmod CAR T therapy designed to address these limitations and provide a convenient and consistent off-the-shelf option. This therapy incorporates 2 CARs: an activator targeting EGFR, and a blocker targeting HLA-A*02. The activator recognizes EGFR on both tumor and normal cells, while the blocker inhibits CAR T activity against normal cells with preserved HLA expression and decreases the risk for graft-versus-host disease (Hamburger, et al. Mol Immunol . 2020). To address potential host-vs-graft response, an shRNA expression module targeting B2M is included in the Tmod construct, which significantly reduces major histocompatibility complex class I levels and subsequent host immune response (DiAndreth, et al. Clin Immunol. 2022). Importantly, the Tmod system is modular and adaptable to multiple targets. Initial data on autologous Tmod CAR T therapy suggest reduced off-tumor toxicity and encouraging clinical efficacy (Grierson, et al. SITC 2024. Abstract 588). A2B395 represents a novel approach for EGFR-expressing solid tumors with HLA-A*02 LOH. Methods: DENALI-1 (NCT06682793) is a phase 1/2, open-label, nonrandomized study evaluating the safety and efficacy of A2B395 in adults. Patients are enrolled through BASECAMP-1 (NCT04981119), a master prescreening study that identifies patients with HLA LOH at any time in the course of their disease via next-generation sequencing (Tempus AI, Inc.). Key inclusion criteria include histologically confirmed recurrent unresectable, locally advanced, or metastatic cancers associated with EGFR expression, including colorectal, non-small cell lung, squamous cell head and neck, triple negative breast, and renal cell cancers. Patients must have received ≥1 line of prior therapy, such as a checkpoint inhibitor, molecular targeted therapy, or chemotherapy. The primary objective of phase 1 is to evaluate safety, tolerability, and the recommended phase 2 dose (RP2D) using a Bayesian optimal interval design for dose escalation. The dose-expansion phase will confirm RP2D and collect biomarker data. Phase 2 will assess overall response rate per RECIST v1.1. Clinical trial information: NCT06682793 .
Global, Regional, and National Burden of Nontraumatic Subarachnoid Hemorrhage
Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari, Stark, Benjamin, Johnson, Catherine O., Kaprio, Jaakko , Korja, Miikka, Krishnamurthi, Rita , Nair, Balakrishnan , Vergouwen, Mervyn D. I. , Abdelkader, Atef , Abdullahi, Auwal , Abualruz, Hasan , Abukhadijah, Hana J , Adamu, Lawan Hassan, Adegboye, Oyelola A. , Adzigbli, Leticia Akua, Agyemang‐Duah, Williams , Ahinkorah, Bright Opoku, Ahmad, Aqeel , Ahmad, Danish , Ahmadzade, Amir Mahmoud , Akkaif, Mohammed Ahmed , Ali, Mohammed Usman, Alif, Sheikh Mohammad , Alimohamadi, Yousef, Alsabri, Mohammed , Altaf, Awais , Alvis‐Guzmán, Nelson , Alwafi, Hassan , Al‐Wardat, Mohammad , Alyahya, Mohammad S. , Amin, Tarek Tawfik , Amindarolzarbi, Alireza , Amusa, Ganiyu , Angappan, Dhanalakshmi , Anuoluwa, Boluwatife Stephen, Anwar, Saleha, Anyasodor, Anayochukwu Edward , Apostol, Geminn Louis Carace, Areda, Demelash, Artamonov, Anton A, Artanti, Kurnia Dwi , Ashemo, Mubarek Yesse , Athar, Mohammad , Aujayeb, Avinash , Awotidebe, Adedapo Wasiu , Azadnajafabad, Sina , Aziz, Shahkaar , Bagheri, Nasser , Taqanaki, Pegah Bahrami , Bahramian, Saeed , Bai, Ruhai , Baig, Atif Amin , Baltatu, Ovidiu Constantin , Bam, Kiran, Barker‐Collo, Suzanne , Bärnighausen, Till , Bastan, Mohammad‐Mahdi , Basu, Sanjay , Bell, Shelly L, Benseñor, Isabela M , Berhie, Alemshet Yirga , Bhagavathula, Akshaya Srikanth , Bhaskar, Sonu , Bhat, Ajay Nagesh, Bhat, Vivek , Birhan, Mekuriaw Mesfin , Borhany, Hamed, Breitner, Susanne , Bulamu, Norma B. , Butt, Zahid A , Cabral, Lucas Scotta , Santos, Florentino Luciano Caetano dos , Cámera, Luis Alberto , Capodici, Angelo , Chadwick, Joshua , Chakraborty, Promit Ananyo , Chanie, Gashaw Sisay , Chattu, Vijay Kumar , Chi, Gerald, Chichagi, Fatemeh , Columbus, Alyssa , Criqui, Michael H, Ohadi, Mohammad Amin Dabbagh , Dadras, Omid , Dalli, Lachlan L. , Debopadhaya, Shayom , Dervišević, Emina , Devanbu, Vinoth Gnana Chellaiyan, Dewan, Syed Masudur Rahman , Dhane, Amol S. , Chi, Thanh, Phuong, Thao Huynh, Dohare, Sushil , Докова, Клара , Dowou, Robert Kokou , Dsouza, Haneil Larson , Dutta, Siddhartha , Dziedzic, Arkadiusz , E’mar, Abdel Rahman, Edvardsson, David , Efendi, Ferry, Nahas, Nevine El , Elgendy, Islam Y. , Eltaha, Chadi, Emeto, Theophilus I. , Fakhradiyev, Ildar , Faris, Pawan , Fauk, Nelsensius Klau , Fazylov, Timur, Fekadu, Ginenus , Fetensa, Getahun, Fischer, Florian, Foschi, Matteo , Fridayani, Ni Kadek Yuni, Gaipov, Abduzhappar , Gajjar, Avi A. , Ganesan, Balasankar , Gebregergis, Miglas Welay, Gebremeskel, Teferi Gebru , Getie, Molla , Ghadirian, Fataneh , Ghasemzadeh, Afsaneh , Gholamalizadeh, Maryam , Gil, Artyom , Goleij, Pouya , Goulart, Alessandra C. , Goulart, Bárbara Niegia Garcia de , Guan, Shi‐Yang , Gupta, Sapna , Habibzadeh, Farrokh , Hadi, Najah R, Hankey, Graeme J. , Harlianto, Netanja I. , Hasani, Hamidreza, Hasnain, Md Saquib , Haubold, Johannes , Havmoeller, Rasmus, Hay, Simon I , Hbid, Youssef , Heidari, Golnaz , Hiraike, Yuta, Hoan, Nguyen Quoc , Hosseinzadeh, Mehdi , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ikiroma, Adalia , Isola, Gaetano , Iwagami, Masao , Jacob, Louis, Jain, Akhil, Jakovljević, Mihajlo , Jatau, Abubakar Ibrahim , Jawaid, Talha, Jayapal, Sathish Kumar , Jonas, Jost B, Joseph, Nitin , Jürisson, Mikk , Kadashetti, Vidya, Kalani, Rizwan, Kamireddy, Arun , Kandel, Himal , Behnagh, Arman Karimi , Kashoo, Faizan , Kayode, Gbenga A , Kazemi, Foad , Khader, Yousef , Khaing, Inn Kynn , Khan, Fayaz Ahmad , Khan, Mohammad Jobair , Kashani, Hamid Reza Khayat , Khosla, Atulya Aman , Kim, Kwanghyun , Kim, Yun Jin , Korzh, Oleksii , Krishan, Kewal , Krishna, Varun, Krishnamoorthy, Vijay , Kuddus, Mohammed , Kulimbet, Mukhtar , Lahariya, Chandrakant, Lai, Daphne Teck Ching , Lai, Hanpeng , Laksono, Tri, Lallukka, Tea , Latifinaibin, Kaveh, Le, Nhi Huu Hanh, Le, Thao T. , Lee, Munjae , Lee, Yo Han , Lenzi, Jacopo , Leonardi, Matilde, Li, Ming‐Chieh , Li, Xiaopan , Lim, Stephen S , Lin, Jialing , Saute, Ricardo Lutzky , Malik, Ahmad Azam , Marateb, Hamid Reza , Maroufi, Seyed Farzad , Maugeri, Andrea , McPhail, Steven , Mehndiratta, Man Mohan, Mestrovic, Tomislav, Mettananda, Chamila Dinushi Kukulege , Miazgowski, Tomasz , Minervini, Giuseppe , Mithra, Prasanna , Mohamed, Abdalla Z. , Mohammad, Ameen Mosa , Mohammed, Shafiu , Moni, Mohammad Ali , Moradi, Yousef, Moraga, Paula , Morawska, Lídia , Munjal, Kavita , Murray, Christopher J L , Nagarajan, Ahamarshan Jayaraman , Naik, Ganesh R. , Najdaghi, Soroush , Davani, Delaram Narimani , DELETE-ME, Nawsherwan, Nazri-Panjaki, Athare , Negoi, Ruxandra Irina , Nematollahi, Soroush , Nguyen, Hau Thi Hien, Nguyen, Hau Thi Hien, Nguyen, Phat Tuan , Nguyễn, Văn Thành , Niazi, Robina Khan, Nikoobar, Ali , Sá, Antonio Tolentino Nogueira de , Nomura, Shuhei , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ojo-Akosile, Tolulope R, Oliveira, Gláucia Maria Moraes de , Olorukooba, Abdulhakeem Abayomi , Osuagwu, Uchechukwu Levi , Ouyahia, Amel, A, Mahesh Padukudru P, Panagiotakos, Demosthenes B. , Parikh, Romil R., Park, Seoyeon , Pedersini, Paolo , Peprah, Emmanuel , Perico, Norberto, Petermann-Rocha, Fanny Emily, Plotnikov, Evgenii , Полибин, Р. В. , Postma, Maarten J. , Prasad, Manya , Qian, Gangzhen , Rahmanian, Mohammad , Rajaa, Sathish , Rajput, Prashant , Ramadan, Mahmoud M. , Rane, Amey, Rashidi, Mohammad‐Mahdi , Razo, Christian , Reddy, Murali Mohan Rama Krishna, Remuzzi, Giuseppe, Rezaei, Negar , Rezaeian, Mohsen , Rocha, Hermano Alexandre Lima , Rodriguez, Jefferson Antonio Buendia, Roever, Leonardo , Romoli, Michele, Romozzi, Marina, Roy, Nitai , Saddik, Basema Ahmad, Sahoo, Pragyan Monalisa , Salaroli, Luciane Bresciani , Samuel, Vijaya Paul, Samy, Abdallah M , Santric-Milicevic, Milena M., Saravanan, Aswini, Schlaich, Markus P. , Sethi, Yashendra , Seylani, Allen, Shaaban, Ahmed Nabil , Shafie, Mahan , Shaikh, Summaiya Zareen , Shamsutdinova, Alfiya, Sharifan, Amin , Rad, Javad Sharifi, Sharma, Vishal, Shashamo, Bereket Beyene , Shetty, Premalatha K, Shigematsu, Mika, Shorofi, Seyed Afshin, Singh, Paramdeep , Singh, Puneetpal , Singh, Surjit , Sobia, Farrukh , Solanki, Shipra, Soraneh, Soroush , Spartalis, Michael, Srinivasamurthy, Suresh Kumar , Stanikzai, Muhammad Haroon , Sun, Zhong , Swain, Chandan Kumar , Damavandi, Payam Tabaee , Tabatabaeizadeh, Seyed-Amir, Tabche, Celine , Taiba, Jabeen , Tamuzi, Jacques Lukenze , Tan, Ker‐Kan , Teramoto, Masayuki , Thakur, Ramna, Thankappan, Kavumpurathu Raman , Thayakaran, Rasiah , Thirunavukkarasu, Sathish, Ticoalu, Jansje Henny Vera, Tiwari, Krishna Raj , Tonelli, Marcello , Topór-Mądry, Roman , Tovani-Palone, Marcos Roberto Roberto, Tran, Jasmine, Tran, Thang Huu , Duc, Nguyen Tran Minh , Truelsen, Thomas Clement, Unim, Brigid, Vahdati, Sanaz, Vaithinathan, Asokan Govindaraj , Eynde, Jef Van den , Vladimirov, Sergey Konstantinovitch , Waheed, Yasir, Wahood, Waseem , Walde, Mandaras Tariku, Wang, Yanzhong , Wickramasinghe, Nuwan Darshana , Wolfe, Charles D. A., Wubie, Yihun Miskir, Xiao, Hong , Xu, Xiaoyue , Yano, Yuichiro , Yarahmadi, Amir , Ye, Pengpeng, Yon, Dong Keon , Zanghì, Aurora , Zare, Iman, Zastrozhin, Michael, Zhang, Zhi-Jiang , Zhang, Zhiqiang , Zhang, Zhiqiang, Zhao, Hanqing , Zhou, Shang Cheng, Zhumagaliuly, Abzal , Zia, Hafsa, Roth, Gregory A., Topór‐Mądry, Roman , Oliveira, Arão Belitardo , Rahim, Fakher , Saddik, Basema , Waheed, Yasir , Liu, Xuefeng , Zhang, Yunquan , Ozair, Ahmad , Buendía, Jefferson Antonio , Korja, Miikka , Baig, Atif Amin , Shanawaz, Mohd , Elgendy, Islam Y , Hankey, Graeme J , Alif, Sheikh M , Rezaei, Negar , Bhagavathula, Akshaya Srikanth , Van den Eynde, Jef , Ozair, Ahmad , Collaborators, GBD 2021 Global Subarachnoid Hemorrhage Risk Factors, Rautalin, Ilari Matias , Volovici, Victor , Ranta, Annemarei , Rinkel, Gabriël J.E. , Abate, Yohannes Habtegiorgis, Abbastabar, Hedayat , Abd-Allah, Foad , Abdi, Parsa , Abdollahi, Arash , Abiodun, Olugbenga Olusola , Aboagye, Richard Gyan , Abouzid, Mohamed , Abtahi, Dariush , Abu‐Rumeileh, Samir , Abualhasan, Ahmed , Abu‐Zaid, Ahmed , Addo, Isaac Yeboah , Adedoyin, Rufus Adesoji , Adra, Saryia , Ahinkorah, Bright Opoku , Ahmed, Ali , Ahmed, Haroon , Ahmed, Syed Anees , Aji, Budi , Al‐Ajlouni, Yazan A. , Al‐Aly, Ziyad , ALBashtawy, Mohammed , Aljunid, Syed Mohamed , Alomari, Mahmoud A. , Alrawashdeh, Ahmad , Alsabri, Mohammed A., Salman, Rustam Al‐Shahi , Al‐Tammemi, Ala’a B. , Al‐Worafi, Yaser Mohammed , Aly, Hany Z. , Alzoubi, Karem Hasan , Amani, Reza, Anderlini, Deanna , Anil, Abhishek , Arabloo, Jalal , Ärnlöv, Johan , Arumugam, Ashokan , Aryan, Zahra , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Athari, Seyyed Shamsadin , Azzam, Ahmed Y , Babu, Giridhara R. , Bako, Abdulaziz Tijjani , Banach, Maciej , Bandyopadhyay, Soham , Banik, Biswajit , Bardhan, Mainak , Barqawi, Hiba Jawdat , Barua, Lingkan , Beyene, Kebede Abera , Bhat, Vivek, Bhatti, Gurjit Kaur , Bhatti, Jasvinder Singh , Bijani, Ali , Bikbov, Boris , Birhanu, Mulugeta Molla , Bitra, Veera Raghavulu , Boloor, Archith , Brenner, Hermann , Bugiardini, Raffaele , Călina, Daniela Cornelia , Campos, Luciana Aparecida , Campos‐Nonato, Ismael , Carvalho, Félix , Castañeda-Orjuela, Carlos A , Catapano, Alberico Luigi , Cegolon, Luca , Chakraborty, Chiranjib , Chakraborty, Sandip , Chandika, Rama Mohan , Chaudhary, Anis Ahmad , Chi, Gerald , Ching, Patrick R , Chopra, Hitesh , Choudhari, Sonali Gajanan , Chowdhury, E. , Chu, Dinh‐Toi , Chung, Sheng‐Chia , Silva, Alanna Gomes da , Dai, Xiaochen , Dalal, Koustuv , D’Amico, Emanuele , Dashti, Mohsen , Davletov, Kairat , Cruz-Góngora, Vanessa Vianey De la , Delgado‐Enciso, Iván , Devanbu, Vinoth Gnana Chellaiyan, Dibas, Mahmoud , Doheim, Mohamed Fahmy , Dongarwar, Deepa , D’Oria, Mario , Doshi, Ojas Prakashbhai , Doshi, Rajkumar , Efendi, Defi , Efendi, Ferry , Elhadi, Muhammed , Eltahir, Mohd. Elmagzoub , Fabin, Natalia , Fagbamigbe, Adeniyi Francis , Fahim, Ayesha , Fares, Jawad , Ferreira, Nuno Bravo , Gandhi, Aravind P. , Garg, Ravindra Kumar , Gebrehiwot, Mesfin , Ghadimi, Delaram J. , Ghahramani, Sulmaz , Ghazy, Ramy Mohamed , Ghozy, Sherief , Gilani, Jaleed Ahmed , Gnedovskaya, Elena V. , Hadei, Mostafa , Hamidi, Samer , Hanifi, Nasrin , Haro, Josep María , Hasan, Faizul , Tabatabaei, Mahgol Sadat Hassan Zadeh , Heidari, Mohammad , Hemmati, Mehdi , Holla, Ramesh , Hostiuc, Sorin , Huang, Junjie , Huynh, Hong-Han , Ikeda, Nayu , Ilaghi, Mehran , Ilesanmi, Olayinka Stephen , Ilić, Irena , Ilić, Milena , Islam, Md. Rabiul , Ismail, Nahlah Elkudssiah , Iso, Hiroyasu , Jafarzadeh, Abdollah , Jairoun, Ammar Abdulrahman , Kalani, Rizwan, Kamal, Vineet Kumar , Kanchan, Tanuj , Karami, Jafar , Karaye, Ibraheem M. , Karimi, Yeganeh , Kesse‐Guyot, Emmanuelle , Khan, Fayaz, Khatatbeh, Haitham , Khatatbeh, Moawiah Mohammad , Kheirallah, Khalid Ahmed , Khidri, Feriha Fatima , Khormali, Moein , Kısa, Adnan , Kısa, Sezer , Kivimäki, Mika , Kolahi, Ali‐Asghar , Kompani, Farzad , Kostev, Karel , Kothari, Nikhil , Kunutsor, Setor K. , Kurniasari, Maria Dyah , Kusuma, Dian Palupi , Kytö, Ville , Vecchia, Carlo La , Lahariya, Chandrakant , Latief, Kamaluddin , Lee, Seung Won , Lee, Wei‐Chen , Leonardi, Matilde, Liu, Xuefeng , Lohner, Valerie , Lorenzovici, László , Lotufo, Paulo A. , Lucchetti, Giancarlo , Lusk, Jay B. , Amin, Hawraz Ibrahim M. , Malhotra, Armaan Kush , Malhotra, Kashish , Malta, Déborah Carvalho , Mansournia, Mohammad Alì , Mantovani, LG , Manu, Emmanuel, Marino, Mirko , Martínez, Ramón , Martini, Santi , Martorell, Miquel , Marzo, Roy Rillera , Mathangasinghe, Yasith , Mathews, Elezebeth , Mehmood, Asim , Mehrabani-Zeinabad, Kamran , Menezes, Ritesh G. , Meo, Sultan A , Meretoja, Atte , Meštrović, Tomislav , Sá, Ana Carolina Micheletti Gomide Nogueira de , Minh, Le Huu Nhat , Mirică, Andreea , Мirrakhimov, Erkin М , Mirza‐Aghazadeh‐Attari, Mohammad , Mishra, Ajay Kumar , Mohamed, Ahmed Ismail , Mohammadi, Soheil , Mohammadian-Hafshejani, Abdollah , Mokdad, Ali H. , Molinaro, Sabrina , Momani, Shaher , Ghalibaf, AmirAli Moodi , Moradi, Maryam , Msherghi, Ahmed A.A. , Ansari, Noureddin Nakhostin , Nargus, Shumaila , Natto, Zuhair S. , Nauman, Javaid , DELETE-ME, Nawsherwan, Nayak, Vinod C , Newton, Charles R. , Nigatu, Yeshambel T. , Noubiap, Jean Jacques , Nugen, Fred , Oduro, Michael Safo , Okati‐Aliabad, Hassan , Okeke, Sylvester Reuben , Okekunle, Akinkunmi Paul , Olagunju, Andrew T , Olaiya, Muideen Tunbosun , Olufadewa, Isaac Iyinoluwa , Ornello, Raffaele , Ortiz‐Prado, Esteban , Ouyahia, Amel , Owolabi, Mayowa , Padrón‐Monedero, Alicia , Padubidri, Jagadish Rao , Panos, Leonidas D , Pantazopoulos, Ioannis N. , Parikh, Romil R., Patel, Jay , Patel, Urvish , Patoulias, Dimitrios , Pereira, Gavin F , Perianayagam, Arokiasamy , Perna, Simone , Petermann‐Rocha, Fanny , Philip, Anil K. , Пирадов, М. А. , Pradhan, Jalandhar , Puvvula, Jagadeesh , Qasim, Nameer Hashim , Raggi, Alberto , Rahimi‐Movaghar, Vafa , Rahman, Muhammad Aziz , Rahmani, Amir Masoud , Sanati, Ali Rajabpour , Ramasamy, Shakthi Kumaran , Ramazanu, Sheena , Rathish, Devarajan , Rawaf, Salman , Redwan, Elrashdy M , Remuzzi, Giuseppe , Romoli, Michele, Romozzi, Marina , Ross, Allen Guy , Rout, Himanshu Sekhar , Roy, Priyanka , Saad, Aly M A , Saadatian, Zahra , Sabour, Siamak , Sacco, Simona , Sadeghi, Erfan , Saeed, Usman, Sharif‐Askari, Fatemeh Saheb , Sahebkar, Amirhossein , Sajib, Md Refat Uz Zaman , Saleh, Mohamed A. , Samodra, Yoseph Leonardo , MİLİCEVİC, Milena Santric, Saravanan, Aswini , Sarkar, Tanmay, Sarode, Sachin Chakradhar , Sartorius, Benn , Satpathy, Maheswar , Schneider, Ione Jayce Ceola , Schuermans, Art , Selvaraj, Siddharthan , Senthilkumaran, Subramanian , Sepanlou, Sadaf Ghajarieh , Shahwan, Moyad Jamal , Shamim, Muhammad Aaqib , Shamsi, Anas , Shannawaz, Mohammed , Rad, Javad Sharifi, Sharma, Vishal , Shittu, Aminu , Shiue, Ivy , Shlobin, Nathan A. , Siddig, Emmanuel Edwar , Spartalis, Michael , Stanaway, Jeffrey D , Starodubova, Antonina Vladimirovna , Szarpak, Łukasz , Tabatabaeizadeh, Seyed‐Amir , Tabatabaeizadeh, Seyed-Amir, Talaat, Iman Mamdouh , Temsah, Mohamad‐Hani , Thakur, Ramna , Thirunavukkarasu, Sathish, Tiwari, Krishna, Truyen, Thien Tan Tri Tai , Tsai, Daniel Hsiang‐Te , Ullah, Atta , Unnikrishnan, Bhaskaran , Unsworth, Carolyn Anne, Usman, Jibrin Sammani , Valizadeh, Rohollah , Varghese, Joe , Vasankari, Tommi Juhani , Venketasubramanian, Narayanaswamy , Vervoort, Dominique , Villafañe, Jorge Hugo , Vinayak, Manish , Wafa, Hatem A , Walde, Mandaras Tariku, Willeit, Peter , Wolfe, Charles D.A. , Wolfe, Charles D. A., Yamagishi, Kazumasa , Yaribeygi, Habib , Yaya, Sanni , Ye, Pengpeng, Yonemoto, Naohiro , Yu, Chuanhua , Zastrozhin, Michael, Zhang, Chen , Zhang, Zhiqiang, Zielińska, Magdalena , Zyoud, Samer H. , Roth, Gregory A. , Feigin, Valery L. , Kulimbet, Mukhtar , Rahim, Fakher

JAMA Neurology | May 23, 2025 | Volume: 82 | Issue: 8 | Pages: 765

10.1001/jamaneurol.2025.1522 | PMID 40406922 Get It

Importance Nontraumatic subarachnoid hemorrhage (SAH) represents the third most common stroke type with unique etiologies, risk factors, diagnostics, and treatments. Nevertheless, epidemiological studies often cluster SAH with other stroke types leaving its distinct burden estimates obscure. Objective To estimate the worldwide burden of SAH. Design, Setting, and Participants Based on the repeated cross-sectional Global Burden of Disease (GBD) 2021 study, the global burden of SAH in 1990 to 2021 was estimated. Moreover, the SAH burden was compared with other diseases, and its associations with 14 individual risk factors were investigated with available data in the GBD 2021 study. The GBD study included the burden estimates of nontraumatic SAH among all ages in 204 countries and territories between 1990 and 2021. Exposures SAH and 14 modifiable risk factors. Main Outcomes and Measures Absolute numbers and age-standardized rates with 95% uncertainty intervals (UIs) of SAH incidence, prevalence, mortality, and disability-adjusted life-years (DALYs) as well as risk factor–specific population attributable fractions (PAFs). Results In 2021, the global age-standardized SAH incidence was 8.3 (95% UI, 7.3-9.5), prevalence was 92.2 (95% UI, 84.1-100.6), mortality was 4.2 (95% UI, 3.7-4.8), and DALY rate was 125.2 (95% UI, 110.5-142.6) per 100 000 people. The highest burden estimates were found in Latin America, the Caribbean, Oceania, and high-income Asia Pacific. Although the absolute number of SAH cases increased, especially in regions with a low sociodemographic index, all age-standardized burden rates decreased between 1990 and 2021: the incidence by 28.8% (95% UI, 25.7%-31.6%), prevalence by 16.1% (95% UI, 14.8%-17.7%), mortality by 56.1% (95% UI, 40.7%-64.3%), and DALY rate by 54.6% (95% UI, 42.8%-61.9%). Of 300 diseases, SAH ranked as the 36th most common cause of death and 59th most common cause of DALY in the world. Of all worldwide SAH-related DALYs, 71.6% (95% UI, 63.8%-78.6%) were associated with the 14 modeled risk factors of which high systolic blood pressure (population attributable fraction [PAF] = 51.6%; 95% UI, 38.0%-62.6%) and smoking (PAF = 14.4%; 95% UI, 12.4%-16.5%) had the highest attribution. Conclusions and Relevance Although the global age-standardized burden rates of SAH more than halved over the last 3 decades, SAH remained one of the most common cardiovascular and neurological causes of death and disabilities in the world, with increasing absolute case numbers. These findings suggest evidence for the potential health benefits of proactive public health planning and resource allocation toward the prevention of SAH.
Subclinical Atherosclerosis and Cardiovascular Events Among Patients With Colorectal Cancer
Levy, Julia , Kazemian, Elham, Loroña, Nicole C. , Nadri, Maimoona, Gasho, Jordan , Silos, Katrina D., Nikolova, Andriana , Dey, Damini , Siegel, Erin M. , Hardikar, Sheetal , Byrd, Doratha A. , Shibata, David , Tamarappoo, Balaji , Atkins, Katelyn M. , Figueiredo, Jane C. , Loroña, Nicole C , Gasho, Jordan O , Hardikar, Sheetal , Toriola, Adetunji T , Li, Christopher I , Ulrich, Cornelia M , Tamarappoo, Balaji K, Figueiredo, Jane C , Dey, Damini , Ramin, Cody A. , Gigic, Biljana , Toriola, Adetunji T. , Ose, Jennifer , Ulrich, Cornelia M.

Cancer Medicine | May 14, 2025 | Volume: 14 | Issue: 10 | Pages: No page available

10.1002/cam4.70938 | PMID 40365909 Get It

ABSTRACTBackgroundPrior studies have documented that patients with colorectal cancer (CRC) are at an increased risk of cardiovascular disease (CVD).ObjectivesTo examine coronary artery calcium (CAC) as a marker of subclinical atherosclerosis and its association with major adverse cardiovascular events (MACE) in patients with CRC across the cancer treatment trajectory.MethodsAdults with newly diagnosed CRC were enrolled in the prospective ColoCare study from 2017 to 2024. CAC was measured from routine diagnostic computed tomography (CT) and positron emission tomography‐CT scans at CRC diagnosis until 5 years post‐diagnosis. Atherosclerosis was defined as the presence of CAC. We used multivariable‐adjusted Fine and Gray models to assess the association between CAC and MACE risk, accounting for competing risks.ResultsAmong 300 CRC patients, the most common CVD risk factors at cancer diagnosis were hypertension (37%), hyperlipidemia (24%), and diabetes (14%). During follow‐up (median = 5.3 years), 75 (25%) individuals experienced MACE: stroke (3%), new/worsening HF (9%), HF exacerbation requiring hospitalization (2%), coronary revascularization (3%), and death (19%). Among individuals with imaging at baseline (n = 101), 37 (36.6%) had CAC, and statins were not prescribed in 11 (55.0%) patients with moderate/high CAC. For those with serial imaging (n = 61), 31.1% showed worsening CAC and 3% developed new CAC. Baseline CAC conferred a higher risk of MACE (HR = 4.79; 95% CI: 1.05–21.75, p = 0.04) after accounting for cancer‐related deaths as a competing risk.ConclusionsSubclinical atherosclerosis and MACE are common among patients with CRC. Integrating CAC from routine cancer imaging can identify patients who may benefit from cardio‐preventive treatment.
Spatial Transcriptomics Identify Region-specific Pathogenesis of Bronchiolar and Alveolar Disease in Primary Ciliary Dyskinesia Lungs
Saito, Minako , Murano, Hiroaki , Gilmore, Rodney C. , Cruz, Gabriela De la , Chua, M. , Khoór, András , McCall, Shannon J. , Snyder, Laurie D. , Sembrat, John , Askin, Fred, Shoemark, Amelia , Livraghi-Butrico, A., Randell, S.H., Boucher, R. C. , Asakura, Takanori , Dang, Hong , Okuda, Kenichi , Markovetz, Matthew R. , Brody, Steven L. , Livraghi-Butrico, Alessandra , O’Neal, Wanda K.

American Journal of Respiratory and Critical Care Medicine | May 11, 2025 | Volume: 211 | Issue: Supplement_1 | Pages: A7931-A7931

10.1164/ajrccm.2025.211.abstracts.a7931 Get It

Abstract Rationale: Primary ciliary dyskinesia (PCD) is a heterogeneous, rare genetic disorder characterized by dysfunctional motile cilia. PCD pulmonary manifestations include impaired airway mucociliary clearance, mucus obstruction, recurrent infection, and bronchiectasis (BE). Notably, thoracic imaging studies indicate that alveolar atelectasis is more prevalent in children with PCD than in age-matched children with cystic fibrosis (CF). However, morphologic and molecular analyses of the site of initiation and progression of PCD airway disease and relationships to PCD alveolar disease have not been reported. In this study, we analyzed region-specific morphologic and molecular characterizations of airway epithelia and alveolar regions in PCD lungs excised at transplantation to address these questions. Methods: Nine PCD lungs and seven non-diseased control lungs were included in the morphometric studies. Bronchi and proximal and distal bronchioles were defined using unique morphologic structures, and distal airway secretory cell (DASC) markers were used to differentiate between proximal and distal bronchioles. Morphologic characteristics of airway epithelia and luminal mucus were quantitated by histology, immunohistochemistry, and RNA in situ hybridization. Spatial transcriptomic technologies (GeoMx) characterized region-specific transcript expression in three airway epithelial regions (bronchi, proximal bronchioles, and distal bronchioles), intraluminal mucus plugs, and alveolar regions of PCD compared to control lungs. Finally, pulmonary function data from a cohort of PCD subjects were analyzed to investigate correlations between alveolar morphologic findings and alveolar gas exchange function, i.e. diffusing capacity for carbon monoxide (DLCO). Results: PCD bronchi and proximal bronchioles exhibited ectasia, characterized by increased MUC5AC and MUC5B-producing cells, mucus plugs containing MUC5AC and MUC5B mucins infiltrated by neutrophils, and epithelial gene signatures associated with ectasia. In contrast, PCD distal bronchioles were not ectatic and exhibited MUC5B-dominant DASCs, mucus plugs containing selectively MUC5B mucin infiltrated by mixture of neutrophils and macrophages, and gene signatures suggestive of impaired ciliogenesis. Molecular analysis revealed upregulation of pathways associated with muco-inflammation, antimicrobial defense, and the innate immune system routinely in PCD airway epithelia. IL-1β gene signatures were observed in both PCD airway and alveolar epithelia, whereas interferon-stimulated gene signatures were restricted to airway epithelia. Transcriptomic and morphologic analyses suggested that PCD alveolar disease was initiated by distal bronchiolar obstruction, associated with chronic microatelectasis, progressive loss of alveolar epithelial type 2 (AT2) cells, and eventual non-resolving fibrosis. A significant percentage (28%) of people with PCD exhibited reduced DLCO. Conclusions: PCD airway disease is manifest by distinct profiles of proximal vs distal bronchiolar disease associated with microatelectatic and fibrotic alveolar disease.
Sensing of extracellular ATP via P2RX7 drives lung tumor growth through regulatory T cell suppressive function
Francisco, Ronaldo, Stoll, Carly R. , Cione, Marcos Pinheiro , Johnston, Tyler , Leff, Chloe , Souza, Fabio Carvalho de, Silva, Henrique Borges da , Santiago-Carvalho, Igor , de Gois Macedo, Bruna, Salgado, Caio Loureiro , Leff, Chloe Liliana, Junior, Ildefonso Silva, de Souza, Fabio Carvalho, Lancaster, Jessica N , da Silva, Henrique Borges, Borges da Silva, Henrique , Francisco, Ronaldo, Macedo, Bruna de Gois , White, Emily , Johnston, Tyler, Silva, Ildefonso , Souza, Fabio Carvalho de, Lima, Maria Regina D’Império , Lancaster, Jessica N.

No container title available | May 9, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1101/2025.05.03.652022 | PMID 40654622 Get It

ABSTRACT Lung cancer is the leading cause of cancer-related deaths worldwide and, despite treatment advances, immune suppression remains an obstacle to effective therapy. Effector CD4 + T cells (CD4 + Teffs) are critical for antitumor immunity, but their function is often inhibited by regulatory T cells (Tregs), which accumulate in lung tumors and perform suppressive functions through multiple mechanisms. This suppression leads to tumor progression and poor patient outcomes. However, the mechanisms underlying Treg-mediated suppression are not fully understood. Here, we identify the extracellular ATP receptor P2RX7 as a key regulator of Treg function in lung tumors. Using a murine lung cancer model induced by Lewis lung carcinoma cells, we demonstrate that P2RX7 enhances the suppressive capacity of tumor-infiltrating Tregs, promoting tumor growth. In T cell-specific P2RX7-KO mice, reduced Treg infiltration was accompanied by increased CD4 + Teff accumulation and improved tumor control. Treg-specific P2RX7-KO mice exhibit reduced tumor growth, confirming a cell-intrinsic role of P2RX7 in Tregs. Suppression assays revealed that tumor-infiltrating WT Tregs have greater suppressive activity compared to P2RX7-KO Tregs, which failed to inhibit type 1 and Tfh-like responses. This was associated with increased tumor-specific IgG production by lung B cells in P2RX7-KO mice. We also observed that WT Tregs express higher levels of the immunosuppressive surface molecule CTLA-4 when compared to P2RX7-KO Tregs. In summary, we show that P2RX7 expression on Tregs is essential for their suppressive function in lung cancer, and targeting of P2RX7 may constitute a novel strategy to improve lung cancer treatment by alleviating Treg-mediated immune suppression.
NCCN Guidelines® Insights: Multiple Myeloma, Version 1.2025
Kumar, Shaji , Adekola, Kehinde , Anderson, Larry , Costello, Caitlin , D’Angelo, Christopher R. , Derman, Benjamin A. , Elsedawy, Noura, Godara, Amandeep , Godby, Kelly, Hillengaß, Jens , Holmberg, Leona , Htut, Myo , Huff, Carol Ann , Hultcrantz, Malin , Larson, Sarah , Liedtke, Michaela , Omel, James, Robinson, Timothy, Valent, Jason , Varshavsky‐Yanovsky, Asya, Kovách, E, Holmberg, Leona , Anderson, Larry D. , Anderson, Larry D , Derman, Benjamin A , Callander, Natalie S. , Baljević, Muhamed , Baz, Rachid , Campagnaro, Erica , Devarakonda, Srinivas , Kang, Yubin , Lee, Hans C. , Martin, Thomas G. , Rosenberg, Aaron , Schroeder, Mark A. , Sherbenou, Daniel W , Suvannasankha, Attaya , Valent, Jason Neil , Vogl, Dan T. , Kovach, Emily, Kumar, Rashmi

Journal of the National Comprehensive Cancer Network | May 8, 2025 | Volume: 23 | Issue: 5 | Pages: 132-140

10.6004/jnccn.2025.0023 | PMID 40340857 Get It

The NCCN Guidelines for Multiple Myeloma (MM) provide recommendations for diagnosis, initial workup, treatment, follow-up, and supportive care for patients with MM. These NCCN Guidelines Insights highlight the important updates and changes specific to systemic therapy for patients with newly diagnosed as well as previously treated MM included in Version 1.2025 of the NCCN Guidelines for MM.
Gastric Cancer, Version 2.2025, NCCN Clinical Practice Guidelines In Oncology
Ajani, Jaffer A. , D’Amico, Thomas A., Bentrem, David J., Corvera, Carlos U. , Das, Prajnan , Enzinger, Peter C. , Enzler, Thomas , Gerdes, Hans, Grierson, Patrick , Hofstetter, Wayne L. , Ilson, David H. , Jalal, Shadia I. , Kleinberg, Lawrence , Lacy, Jill , Lee, Byrne , Licciardi, Frank, Ly, Quan P. , Matsukuma, Karen , McNamara, Michael, Mukherjee, Sarbajit , Mulcahy, Mary F. , Reddi, Deepti , Reznik, Scott I. , Roses, Robert E. , Strong, Vivian E. , Su, Stacey, Uboha, Nataliya V. , Willett, Christopher G. , Yoon, Harry H. , McMillian, Nicole R., Stein, MaryElizabeth , Gupta, Garima , Ajani, Jaffer A , Bentrem, David J. , Gibson, Michael K. , Gupta, Garima , Kim, Sunnie S. Y. , Klempner, Samuel J. , Lloyd, Shane , Merkow, Ryan P. , Perry, Kyle A. , Pimiento, José M. , Reddi, Deepti , Wainberg, Zev A. , Woo, Yanghee

Journal of the National Comprehensive Cancer Network | May 8, 2025 | Volume: 23 | Issue: 5 | Pages: 169-191

10.6004/jnccn.2025.0022 | PMID 40341199 Get It

Gastric cancer is the fifth leading cause of cancer-related deaths worldwide. Over 95% of gastric cancers are adenocarcinomas, which are typically classified based on anatomic location and histologic type. Gastric cancer generally carries a poor prognosis because it is often diagnosed at an advanced stage. Systemic therapy can provide palliation, improve survival, and enhance the quality of life in patients with locally advanced or metastatic disease. The implementation of biomarker testing has had a significant impact on clinical practice and patient care. Targeted therapies have demonstrated encouraging results in clinical trials for the treatment of patients with locally advanced or metastatic disease. This selection from the NCCN Clinical Practice Guidelines in Oncology for Gastric Cancer highlights recommendations for biomarker testing and discusses updates for the treatment of advanced disease, including peritoneal carcinoma as only disease and unresectable locally advanced, recurrent, or metastatic disease.
Performance of Two-Phase Designs for the Time-to-Event Outcome and a Case Study Assessing the Relapse Risk Associated With B-ALL Subtypes
Chen, Wenan , Chang, Ti‐Cheng , Rabin, Karen R. , Raetz, Elizabeth A. , Devidas, Meenakshi , Hunger, Stephen P. , Ramirez, Nilsa C. , Mullighan, Charles G. , Loh, Mignon L. , Wu, Gang , Mullighan, Charles G , Hunger, Stephen P , Loh, Mignon L , Rabin, Karen R , Devidas, Meenakshi

JCO Clinical Cancer Informatics | May 2, 2025 | Volume: No volume available | Issue: 9 | Pages: No page available

10.1200/cci-24-00223 | PMID 40315406 Get It

PURPOSE To reduce costs in genomic studies of time-to-event phenotypes like survival, researchers often sequence a subset of samples from a larger cohort. This process usually involves two phases: first, collecting inexpensive variables from all samples, and second, selecting a subset for expensive measurements, for example, sequencing-based biomarkers. Common two-phase designs include nested case-control and case-cohort designs. Additional designs include sampling subjects based on follow-up time, like extreme case-control designs. Recently an optimal two-phase design using a maximum likelihood-based method was proposed, which could accommodate arbitrary sample selection in the second phase. However, direct comparisons of this optimal design with others in terms of power and computational cost is lacking. METHODS This study performs a direct evaluation of typical two-phase designs, including Tao's optimal design, on type I error, power, effect size estimation, and computational time, using both simulated and real data sets. RESULTS Results show that the optimal design had the highest power and accurate effect size estimation under the Cox regression model. Surprisingly, logistic regression achieved similar power with much lower computational cost than a more sophisticated method. The study further applied these methods to the MP2PRT study, reporting hazard ratios of cancer subtypes on relapse risk. CONCLUSION Recommendations for selecting two-phase designs and analysis methods are regarding power, bias of estimated effect size, and computational time.