Pub Date : 2026-02-25DOI: 10.1016/j.cell.2026.01.021
João Frederico Matias Rodrigues, Janko Tackmann, Lukas Malfertheiner, David Patsch, Eugenio Perez-Molphe-Montoya, Nicolas Näpflin, Daniela Gaio, Gregor Rot, Mihai Danaila, Matteo Eustachio Peluso, Marija Dmitrijeva, Thomas Sebastian Benedikt Schmidt, Christian von Mering
Environmental DNA sequencing has revolutionized our understanding of microbial diversity and ecology. Microbiomes have now been sequenced across the entire planet-from the deep subsurface to the mountaintops-covering a myriad of hosts, biomes, and conditions. Yet, the diversity of sequencing and processing strategies hampers universal insights. MicrobeAtlas unifies more than two million microbiome samples in a single resource, harmonized to facilitate discoveries across technologies. Communities are hierarchically quantified at adjustable small subunit rRNA marker gene resolution and feature detailed metadata, including rich geographic information. Connections to the genome, phenotype, and ecological resources enable multimodal insights. Microbial lineages can be reliably tracked across environments, including a "long tail" of rare, uncharacterized species. Recurring community structures and geographic preferences become apparent, and global, taxonomy-specific generalism trends emerge. With MicrobeAtlas (www.microbeatlas.org), known and newly described species and communities can readily be placed into their ecological context, taking full advantage of earlier work.
{"title":"The MicrobeAtlas database: Global trends and insights into Earth's microbial ecosystems.","authors":"João Frederico Matias Rodrigues, Janko Tackmann, Lukas Malfertheiner, David Patsch, Eugenio Perez-Molphe-Montoya, Nicolas Näpflin, Daniela Gaio, Gregor Rot, Mihai Danaila, Matteo Eustachio Peluso, Marija Dmitrijeva, Thomas Sebastian Benedikt Schmidt, Christian von Mering","doi":"10.1016/j.cell.2026.01.021","DOIUrl":"https://doi.org/10.1016/j.cell.2026.01.021","url":null,"abstract":"<p><p>Environmental DNA sequencing has revolutionized our understanding of microbial diversity and ecology. Microbiomes have now been sequenced across the entire planet-from the deep subsurface to the mountaintops-covering a myriad of hosts, biomes, and conditions. Yet, the diversity of sequencing and processing strategies hampers universal insights. MicrobeAtlas unifies more than two million microbiome samples in a single resource, harmonized to facilitate discoveries across technologies. Communities are hierarchically quantified at adjustable small subunit rRNA marker gene resolution and feature detailed metadata, including rich geographic information. Connections to the genome, phenotype, and ecological resources enable multimodal insights. Microbial lineages can be reliably tracked across environments, including a \"long tail\" of rare, uncharacterized species. Recurring community structures and geographic preferences become apparent, and global, taxonomy-specific generalism trends emerge. With MicrobeAtlas (www.microbeatlas.org), known and newly described species and communities can readily be placed into their ecological context, taking full advantage of earlier work.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":""},"PeriodicalIF":42.5,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147302758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-25DOI: 10.1016/j.cell.2026.01.017
Jakob Maximilian Bader, Christine Makarov, Sabrina Richter, Maximilian Thomas Strauss, Friederike Held, Maria Wahle, Michael Baggio Lorenz, Lara Pöschl, Patricia Skowronek, Marvin Thielert, Achim Berthele, Wen-Feng Zeng, Constantin Ammar, Isabell Bludau, Benjamin Schubert, Fabian J Theis, Christiane Gasperi, Bernhard Hemmer, Matthias Mann
Cerebrospinal fluid (CSF) is central to neurological diagnostics, yet biomarkers are lacking for many clinical needs. To enable its large-scale proteomic characterization, we developed a high-throughput mass spectrometry workflow quantifying approximately 1,500 proteins per CSF sample across 5,000 individuals, covering a spectrum of neurological disorders. This revealed proteomic alterations associated with blood-CSF barrier impairment, age, and sex, enabling deconvolution of shared and disease-specific signatures. We then focused on multiple sclerosis (MS), using an improved analytical technology that quantified 2,100 proteins per sample. From these data, we derived a 22-protein panel that distinguished MS from related inflammatory diseases and outperformed established markers in challenging cases. A targeted mass spectrometry assay using isotope-labeled standards validated this panel in an independent cohort, offering a clinically compatible format. Additionally, we highlight proteins of therapeutic interest and demonstrate proteome-based staging of individuals along the relapsing-progressive MS spectrum, which correlates with clinical outcomes.
{"title":"Large-scale proteomics across neurological disorders uncovers biomarker panel and targets in multiple sclerosis.","authors":"Jakob Maximilian Bader, Christine Makarov, Sabrina Richter, Maximilian Thomas Strauss, Friederike Held, Maria Wahle, Michael Baggio Lorenz, Lara Pöschl, Patricia Skowronek, Marvin Thielert, Achim Berthele, Wen-Feng Zeng, Constantin Ammar, Isabell Bludau, Benjamin Schubert, Fabian J Theis, Christiane Gasperi, Bernhard Hemmer, Matthias Mann","doi":"10.1016/j.cell.2026.01.017","DOIUrl":"https://doi.org/10.1016/j.cell.2026.01.017","url":null,"abstract":"<p><p>Cerebrospinal fluid (CSF) is central to neurological diagnostics, yet biomarkers are lacking for many clinical needs. To enable its large-scale proteomic characterization, we developed a high-throughput mass spectrometry workflow quantifying approximately 1,500 proteins per CSF sample across 5,000 individuals, covering a spectrum of neurological disorders. This revealed proteomic alterations associated with blood-CSF barrier impairment, age, and sex, enabling deconvolution of shared and disease-specific signatures. We then focused on multiple sclerosis (MS), using an improved analytical technology that quantified 2,100 proteins per sample. From these data, we derived a 22-protein panel that distinguished MS from related inflammatory diseases and outperformed established markers in challenging cases. A targeted mass spectrometry assay using isotope-labeled standards validated this panel in an independent cohort, offering a clinically compatible format. Additionally, we highlight proteins of therapeutic interest and demonstrate proteome-based staging of individuals along the relapsing-progressive MS spectrum, which correlates with clinical outcomes.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":""},"PeriodicalIF":42.5,"publicationDate":"2026-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147302756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-24DOI: 10.1016/j.cell.2026.01.012
Yue Xu, Haotian Cui, Kuan Pang, Gen Li, Fanglin Gong, Songtao Dong, Bo Wang, Bowen Li
Integrating AI with robotics offers a promising approach to molecular discovery and optimization, enabling efficient exploration of vast chemical spaces. However, its application in emerging fields is often constrained by sparse historical data. Here, we introduce LUMI-lab, a self-driving platform that integrates a transformer-based foundation model with an active-learning experiment workflow to address the challenges of data scarcity. To demonstrate its potential, LUMI-lab autonomously synthesized and screened over 1,700 lipid nanoparticles (LNPs), identifying ionizable lipids with enhanced mRNA transfection potency in human bronchial cells. It discovered brominated lipid tails as a feature that improves mRNA delivery. Intratracheal administration of LNPs formulated with LUMI-6, the top-performing lipid, to mice achieved 20.3% gene editing efficacy in lung epithelial cells. These findings demonstrate LUMI-lab as a powerful, data-efficient platform for autonomous discovery and optimization of molecules, highlighting the potential of AI-driven robotic systems to advance next-generation RNA delivery technologies.
{"title":"LUMI-lab: A foundation model-driven autonomous platform enabling discovery of ionizable lipid designs for mRNA delivery","authors":"Yue Xu, Haotian Cui, Kuan Pang, Gen Li, Fanglin Gong, Songtao Dong, Bo Wang, Bowen Li","doi":"10.1016/j.cell.2026.01.012","DOIUrl":"https://doi.org/10.1016/j.cell.2026.01.012","url":null,"abstract":"Integrating AI with robotics offers a promising approach to molecular discovery and optimization, enabling efficient exploration of vast chemical spaces. However, its application in emerging fields is often constrained by sparse historical data. Here, we introduce LUMI-lab, a self-driving platform that integrates a transformer-based foundation model with an active-learning experiment workflow to address the challenges of data scarcity. To demonstrate its potential, LUMI-lab autonomously synthesized and screened over 1,700 lipid nanoparticles (LNPs), identifying ionizable lipids with enhanced mRNA transfection potency in human bronchial cells. It discovered brominated lipid tails as a feature that improves mRNA delivery. Intratracheal administration of LNPs formulated with LUMI-6, the top-performing lipid, to mice achieved 20.3% gene editing efficacy in lung epithelial cells. These findings demonstrate LUMI-lab as a powerful, data-efficient platform for autonomous discovery and optimization of molecules, highlighting the potential of AI-driven robotic systems to advance next-generation RNA delivery technologies.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"30 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147278971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-24DOI: 10.1016/j.cell.2026.01.013
Guoyi Yang, Ming Wu, Shuai Zhang, Yucen Huang, Yixiao Liu, Xiyuan Yu, Jiayang Hu, Le Mi, Peng Gan, Yuansheng Wu, Jing Zou, Baogang Zhang, Qun Hu, Jie Hu, Ruifeng Yao, Bojian Zhong, Xianbo Huang, Huiting Xie, Yinghua Ji, Yi Li, Jianguo Wu
The small interfering RNA (siRNA) pathway directs broad-spectrum antiviral defense through RNA silencing so that virulent infection requires efficient suppression of the defense mechanism. Here, we show that strigolactone (SL) hormone signaling promotes antiviral silencing in rice plants by transcriptional activation of RNA-dependent RNA polymerase 1 (RDR1) and RDR6. We demonstrate that protein P3 of the rice grassy stunt virus (RGSV) blocks SL signaling by directly sequestering the receptor DWARF14 from DWARF3. Structural and functional analyses of the P3-DWARF14 complex reveal that the aspartic acid at position 102 (D102) of DWARF14 is essential for the P3 interaction but not for SL perception. Notably, a single D102N substitution of DWARF14, introduced into two rice cultivars by cytosine base editing (CBE) confers resistance against RGSV by blocking viral suppression of SL signaling-dependent antiviral silencing. Our findings establish a transgene-free strategy for engineering disease resistance by precise genome editing of the SL receptor to escape pathogen suppression of the endogenous defense pathway.
{"title":"Editing strigolactone hormone receptor for robust antiviral silencing in rice","authors":"Guoyi Yang, Ming Wu, Shuai Zhang, Yucen Huang, Yixiao Liu, Xiyuan Yu, Jiayang Hu, Le Mi, Peng Gan, Yuansheng Wu, Jing Zou, Baogang Zhang, Qun Hu, Jie Hu, Ruifeng Yao, Bojian Zhong, Xianbo Huang, Huiting Xie, Yinghua Ji, Yi Li, Jianguo Wu","doi":"10.1016/j.cell.2026.01.013","DOIUrl":"https://doi.org/10.1016/j.cell.2026.01.013","url":null,"abstract":"The small interfering RNA (siRNA) pathway directs broad-spectrum antiviral defense through RNA silencing so that virulent infection requires efficient suppression of the defense mechanism. Here, we show that strigolactone (SL) hormone signaling promotes antiviral silencing in rice plants by transcriptional activation of RNA-dependent RNA polymerase 1 (<em>RDR1</em>) and <em>RDR6</em>. We demonstrate that protein P3 of the rice grassy stunt virus (RGSV) blocks SL signaling by directly sequestering the receptor DWARF14 from DWARF3. Structural and functional analyses of the P3-DWARF14 complex reveal that the aspartic acid at position 102 (D102) of DWARF14 is essential for the P3 interaction but not for SL perception. Notably, a single D102N substitution of DWARF14, introduced into two rice cultivars by cytosine base editing (CBE) confers resistance against RGSV by blocking viral suppression of SL signaling-dependent antiviral silencing. Our findings establish a transgene-free strategy for engineering disease resistance by precise genome editing of the SL receptor to escape pathogen suppression of the endogenous defense pathway.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"54 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147278967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-24DOI: 10.1016/j.cell.2026.01.015
Matthew L. Miller, Timothy J. Thauland, Smriti Sameer Nagarajan, Wenqi Ellen Zuo, Miguel A. Moreno Lastre, Manish J. Butte
Solid tumors harbor immunosuppressive microenvironments that inhibit tumor-infiltrating lymphocytes (TILs) through the voracious consumption of glucose. We sought to restore TIL function by providing them with an exclusive fuel source. The glucose disaccharide cellobiose, which is the building block of cellulose, contains a β-1,4-glycosidic bond that animals (or their tumors) cannot hydrolyze, but fungi and microbes have evolved enzymes to catabolize cellobiose into useful glucose. We equipped mouse T cells and human chimeric antigen receptor (CAR)-T cells with two proteins derived from fungi that enable import and hydrolysis of cellobiose, and we demonstrated that cellobiose supplementation during glucose withdrawal restores key anti-tumor T-cell functions: viability, proliferation, cytokine production, and cytotoxic killing. Engineered T cells offered cellobiose suppress tumor growth and prolong survival. Offering exclusive access to a natural disaccharide augments cancer immunotherapies. This approach could be used to answer questions about glucose metabolism across many cell types, biological processes, and diseases.
{"title":"Fungal-derived cellobiose metabolic pathway fuels T cells to bypass intratumoral glucose competition","authors":"Matthew L. Miller, Timothy J. Thauland, Smriti Sameer Nagarajan, Wenqi Ellen Zuo, Miguel A. Moreno Lastre, Manish J. Butte","doi":"10.1016/j.cell.2026.01.015","DOIUrl":"https://doi.org/10.1016/j.cell.2026.01.015","url":null,"abstract":"Solid tumors harbor immunosuppressive microenvironments that inhibit tumor-infiltrating lymphocytes (TILs) through the voracious consumption of glucose. We sought to restore TIL function by providing them with an exclusive fuel source. The glucose disaccharide cellobiose, which is the building block of cellulose, contains a β-1,4-glycosidic bond that animals (or their tumors) cannot hydrolyze, but fungi and microbes have evolved enzymes to catabolize cellobiose into useful glucose. We equipped mouse T cells and human chimeric antigen receptor (CAR)-T cells with two proteins derived from fungi that enable import and hydrolysis of cellobiose, and we demonstrated that cellobiose supplementation during glucose withdrawal restores key anti-tumor T-cell functions: viability, proliferation, cytokine production, and cytotoxic killing. Engineered T cells offered cellobiose suppress tumor growth and prolong survival. Offering exclusive access to a natural disaccharide augments cancer immunotherapies. This approach could be used to answer questions about glucose metabolism across many cell types, biological processes, and diseases.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"345 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147278966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-19DOI: 10.1016/j.cell.2026.01.010
Eleonora Secchi
In natural and artificial settings, fluid flow and hydrodynamic interactions shape how bacteria attach to surfaces and form biofilms. Tao et al. show that motile E. coli can swim upstream through microstructured environments, revealing how the interplay between geometry and flow governs invasion dynamics and suggesting design principles to prevent bacterial colonization.
{"title":"Fluid flow and environmental geometry guide the journey of swimming bacteria","authors":"Eleonora Secchi","doi":"10.1016/j.cell.2026.01.010","DOIUrl":"https://doi.org/10.1016/j.cell.2026.01.010","url":null,"abstract":"In natural and artificial settings, fluid flow and hydrodynamic interactions shape how bacteria attach to surfaces and form biofilms. Tao et al. show that motile <em>E</em>. <em>coli</em> can swim upstream through microstructured environments, revealing how the interplay between geometry and flow governs invasion dynamics and suggesting design principles to prevent bacterial colonization.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"9 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146231297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-19Epub Date: 2026-01-16DOI: 10.1016/j.cell.2025.11.038
Marta Puig-Tintó, Sebastian Ortiz, Sasha Meek, Raffaele Coray, Laura I Betancur, Altair C Hernández, Anna Castellet, Eric Kramer, Philipp Hoess, Markus Mund, Andrés Molina-Ribagorda, Mercè Izquierdo-Serra, Baldo Oliva, Alex de Marco, Jonas Ries, Daniel Castaño-Díez, Carlo Manzo, Oriol Gallego
Essential for eukaryotes, multiple copies of the exocyst complex tether each secretory vesicle to the plasma membrane (PM) in constitutive exocytosis. The exocyst higher-order structure (ExHOS) that coordinates the action of these multiple exocysts remains unexplored. We integrated particle tracking, super-resolution microscopy, and cryo-electron tomography to time-resolve the continuum conformational landscape of the ExHOS and to functionally annotate its different conformations. We found that 7 exocysts form a flexible ring-shaped ExHOS that tethers vesicles at <45 nm from the PM. The ExHOS rapidly expands while pulling the vesicle toward the PM in a stepwise mechanism comprising three metastable states at 27, 18, and 5 nm from the PM. After fusion, Sec18 mediates the disassembly of the stationary ExHOS, a function that controls the rate of exocytosis. By resolving biophysical principles in situ, we reconstructed the spatiotemporal dynamics of the multimeric architecture controlling vesicle tethering in exocytosis.
{"title":"Continuum architecture dynamics of vesicle tethering in exocytosis.","authors":"Marta Puig-Tintó, Sebastian Ortiz, Sasha Meek, Raffaele Coray, Laura I Betancur, Altair C Hernández, Anna Castellet, Eric Kramer, Philipp Hoess, Markus Mund, Andrés Molina-Ribagorda, Mercè Izquierdo-Serra, Baldo Oliva, Alex de Marco, Jonas Ries, Daniel Castaño-Díez, Carlo Manzo, Oriol Gallego","doi":"10.1016/j.cell.2025.11.038","DOIUrl":"10.1016/j.cell.2025.11.038","url":null,"abstract":"<p><p>Essential for eukaryotes, multiple copies of the exocyst complex tether each secretory vesicle to the plasma membrane (PM) in constitutive exocytosis. The exocyst higher-order structure (ExHOS) that coordinates the action of these multiple exocysts remains unexplored. We integrated particle tracking, super-resolution microscopy, and cryo-electron tomography to time-resolve the continuum conformational landscape of the ExHOS and to functionally annotate its different conformations. We found that 7 exocysts form a flexible ring-shaped ExHOS that tethers vesicles at <45 nm from the PM. The ExHOS rapidly expands while pulling the vesicle toward the PM in a stepwise mechanism comprising three metastable states at 27, 18, and 5 nm from the PM. After fusion, Sec18 mediates the disassembly of the stationary ExHOS, a function that controls the rate of exocytosis. By resolving biophysical principles in situ, we reconstructed the spatiotemporal dynamics of the multimeric architecture controlling vesicle tethering in exocytosis.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":" ","pages":"1170-1184.e22"},"PeriodicalIF":42.5,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145994299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-19DOI: 10.1016/j.cell.2026.01.019
Katharina Jonas, Tina Moser, Ellen Heitzer
In this issue of Cell, Shi and colleagues introduce a urine-based liquid biopsy approach that reshapes how treatment response in NMIBC is assessed. They use urine tumor DNA to detect minimal residual disease and disentangle the contributions of surgery and immunotherapy to disease control, with implications extending beyond bladder cancer.
{"title":"Listening to the bladder field: Urine liquid biopsies reveal differential treatment responses in NMIBC","authors":"Katharina Jonas, Tina Moser, Ellen Heitzer","doi":"10.1016/j.cell.2026.01.019","DOIUrl":"https://doi.org/10.1016/j.cell.2026.01.019","url":null,"abstract":"In this issue of <em>Cell</em>, Shi and colleagues introduce a urine-based liquid biopsy approach that reshapes how treatment response in NMIBC is assessed. They use urine tumor DNA to detect minimal residual disease and disentangle the contributions of surgery and immunotherapy to disease control, with implications extending beyond bladder cancer.","PeriodicalId":9656,"journal":{"name":"Cell","volume":"33 1","pages":""},"PeriodicalIF":64.5,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146223324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-19Epub Date: 2026-01-27DOI: 10.1016/j.cell.2025.12.054
William Y Shi, Kevin J Liu, Mohammad S Esfahani, Kathleen E Mach, Nick A Phillips, Diego Almanza, Ravi K Bajpai, Joseph G Schroers-Martin, Ludimila Trabanino, Timothy J Lee, Vinh La, Gabriela Rodriguez, Grace Holton, Simon B Chen, Patrick Mullane, Douglas J Wu, Monica C Nesselbush, Takeshi Sugio, Jordan C Cheng, Isabel Jabara, Emily G Hamilton, Stefan K Alig, Chih-Long Liu, Dylan J Peterson, Kris Prado, Eugene Shkolyar, Alan Thong, Jay B Shah, Harcharan Gill, Christian A Kunder, Emily Chan, Ali Raza Khaki, Eila C Skinner, Ash A Alizadeh, Joseph C Liao, Maximilian Diehn
Only some non-muscle-invasive bladder cancer (NMIBC) patients benefit from intravesical Bacillus Calmette-Guérin (BCG), and predictive biomarkers remain lacking. While urine tumor DNA (utDNA) analysis is promising, mutations in tumor-adjacent normal urothelium, namely the field effect, limit specificity. Here, we show that the prevalence of somatic mutations in the urine increases with age. We introduce an improved utDNA minimal residual disease (MRD) approach that increases specificity by removing field-effect mutations. Applying this field-effect-informed MRD approach to 261 samples from NMIBC patients undergoing surgery and adjuvant BCG, we identify three molecular response classes, including surgical responders, BCG responders, and non-responders. Molecular predictors of response to the two treatments differ, with pre-existing immune activation and higher mutation burden enriched in BCG but not surgery responders. These findings highlight the potential of field-effect-informed liquid biopsy methods for guiding personalized therapy and uncovering biomarkers for individual components of multimodal treatments.
{"title":"Field-effect-informed urine liquid biopsy for bladder cancer.","authors":"William Y Shi, Kevin J Liu, Mohammad S Esfahani, Kathleen E Mach, Nick A Phillips, Diego Almanza, Ravi K Bajpai, Joseph G Schroers-Martin, Ludimila Trabanino, Timothy J Lee, Vinh La, Gabriela Rodriguez, Grace Holton, Simon B Chen, Patrick Mullane, Douglas J Wu, Monica C Nesselbush, Takeshi Sugio, Jordan C Cheng, Isabel Jabara, Emily G Hamilton, Stefan K Alig, Chih-Long Liu, Dylan J Peterson, Kris Prado, Eugene Shkolyar, Alan Thong, Jay B Shah, Harcharan Gill, Christian A Kunder, Emily Chan, Ali Raza Khaki, Eila C Skinner, Ash A Alizadeh, Joseph C Liao, Maximilian Diehn","doi":"10.1016/j.cell.2025.12.054","DOIUrl":"10.1016/j.cell.2025.12.054","url":null,"abstract":"<p><p>Only some non-muscle-invasive bladder cancer (NMIBC) patients benefit from intravesical Bacillus Calmette-Guérin (BCG), and predictive biomarkers remain lacking. While urine tumor DNA (utDNA) analysis is promising, mutations in tumor-adjacent normal urothelium, namely the field effect, limit specificity. Here, we show that the prevalence of somatic mutations in the urine increases with age. We introduce an improved utDNA minimal residual disease (MRD) approach that increases specificity by removing field-effect mutations. Applying this field-effect-informed MRD approach to 261 samples from NMIBC patients undergoing surgery and adjuvant BCG, we identify three molecular response classes, including surgical responders, BCG responders, and non-responders. Molecular predictors of response to the two treatments differ, with pre-existing immune activation and higher mutation burden enriched in BCG but not surgery responders. These findings highlight the potential of field-effect-informed liquid biopsy methods for guiding personalized therapy and uncovering biomarkers for individual components of multimodal treatments.</p>","PeriodicalId":9656,"journal":{"name":"Cell","volume":"189 4","pages":"1024-1038.e9"},"PeriodicalIF":42.5,"publicationDate":"2026-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12962748/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146257242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}