CRISPR Functional Genomics in Precision Oncology: Integrating Single-Cell Multi-Omics for Cancer Vulnerability Discovery
Oncology, Nuclear Medicine and Transplantology, 2(3), 2026, onmt027, https://doi.org/10.63946/onmt/19194
Publication date: Aug 24, 2026
ABSTRACT
Precision oncology seeks to identify patient-specific therapeutic vulnerabilities; however, conventional genomic profiling is limited by intratumoral heterogeneity and its inability to distinguish functional driver alterations from passenger mutations, often resulting in incomplete prediction of therapeutic response. Recently, the combination of CRISPR functional genomics with single-cell multi-omics has proven to be a paradigm-shifting strategy for understanding context-specific cancer vulnerabilities by causal functional interrogation. The aim of this review is to critically examine recent progress in the integration of these technologies for discovering vulnerabilities in cancer, and introduces a new conceptual model, called the Integrated Functional Precision Oncology (IFPO) Framework, that brings together functional genomic perturbation, single-cell multi-omics, computational systems biology, and clinical translation. Literature was retrieved from Pubmed, Web of Science and Google Scholar and peer reviewed studies published between 2020 and 2025. Key findings from historic and recent research were analyzed to pinpoint methodological innovations, translational studies, limitations, and areas in need of further research. The results reveal that the integrated CRISPR–single-cell platforms, such as Perturb-seq, CROP-seq, and ECCITE-seq, can be used to causally interrogate gene function at the single-cell level, allowing for the identification of context-dependent essential genes, synthetic lethal interactions, regulatory networks, and therapeutic resistance mechanisms. All the evidence suggests that therapeutic response is not merely a function of genomic alterations but also the dynamic interplay between genomic alterations, cellular state, epigenetic plasticity, and the tumor microenvironment. The proposed IFPO Framework integrates these findings into a systems-level model that captures the mechanisms by which these functional perturbations, multimodal molecular profiling, and AI-driven integration of data converge to reveal clinically actionable cancer vulnerabilities. This integrated paradigm transforms precision oncology from descriptive molecular profiling to functional systems oncology and offers directions for further progress of precision cancer treatment based on enhanced biomarker discovery, therapeutic target identification, and prospective clinical translation.
KEYWORDS
CRISPR Functional Genomics Single-cell Multi-Omics Precision Oncology Cancer Vulnerability Therapeutic Resistance
CITATION (Vancouver)
Oluwadare OE, Frankpeace MS, Oluwaniran OM, Anatuanya JI, Onwuemelem LA. CRISPR Functional Genomics in Precision Oncology: Integrating Single-Cell Multi-Omics for Cancer Vulnerability Discovery. Oncology, Nuclear Medicine and Transplantology. 2026;2(3):onmt027. https://doi.org/10.63946/onmt/19194
APA
Oluwadare, O. E., Frankpeace, M. S., Oluwaniran, O. M., Anatuanya, J. I., & Onwuemelem, L. A. (2026). CRISPR Functional Genomics in Precision Oncology: Integrating Single-Cell Multi-Omics for Cancer Vulnerability Discovery. Oncology, Nuclear Medicine and Transplantology, 2(3), onmt027. https://doi.org/10.63946/onmt/19194
Harvard
Oluwadare, O. E., Frankpeace, M. S., Oluwaniran, O. M., Anatuanya, J. I., and Onwuemelem, L. A. (2026). CRISPR Functional Genomics in Precision Oncology: Integrating Single-Cell Multi-Omics for Cancer Vulnerability Discovery. Oncology, Nuclear Medicine and Transplantology, 2(3), onmt027. https://doi.org/10.63946/onmt/19194
AMA
Oluwadare OE, Frankpeace MS, Oluwaniran OM, Anatuanya JI, Onwuemelem LA. CRISPR Functional Genomics in Precision Oncology: Integrating Single-Cell Multi-Omics for Cancer Vulnerability Discovery. Oncology, Nuclear Medicine and Transplantology. 2026;2(3), onmt027. https://doi.org/10.63946/onmt/19194
Chicago
Oluwadare, Olaitan Ebenezer, Meveilleoux Soronuchi Frankpeace, Oluwabukunmi M Oluwaniran, Jane Ifeyinwa Anatuanya, and Lydia Amarachi Onwuemelem. "CRISPR Functional Genomics in Precision Oncology: Integrating Single-Cell Multi-Omics for Cancer Vulnerability Discovery". Oncology, Nuclear Medicine and Transplantology 2026 2 no. 3 (2026): onmt027. https://doi.org/10.63946/onmt/19194
MLA
Oluwadare, Olaitan Ebenezer et al. "CRISPR Functional Genomics in Precision Oncology: Integrating Single-Cell Multi-Omics for Cancer Vulnerability Discovery". Oncology, Nuclear Medicine and Transplantology, vol. 2, no. 3, 2026, onmt027. https://doi.org/10.63946/onmt/19194
REFERENCES
- Liu B, Zhou H, Tan L, Siu KTH, Guan XY. Exploring treatment options in cancer: tumor treatment strategies. Signal Transduct Target Ther. 2024;9(1):175. DOI: 10.1038/s41392-024-01856-7
- Qiao D, Wang RC, Wang Z. Precision oncology: current landscape, emerging trends, challenges, and future perspectives. Cells. 2025;14(22):1804. DOI: 10.3390/cells14221804
- Fu YC, Liang SB, Luo M, Wang XP. Intratumoral heterogeneity and drug resistance in cancer. Cancer Cell Int. 2025;25:103. DOI: 10.1186/s12935-025-03734-w
- Gupta P, Jindal A, Ahuja G, Jayadeva, Sengupta D. A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations. J Biol Chem. 2022;298(8):102177. DOI: 10.1016/j.jbc.2022.102177
- Pandey V, Sharma S, Pokharel YR. Exploring CRISPR-Cas: the transformative impact of gene editing in molecular biology. Mol Ther Nucleic Acids. 2025;36(4):102717. DOI: 10.1016/j.omtn.2025.102717
- Holcomb EA, Pearson AN, Jungles KM, Tate A, James J, Jiang L, et al. High-content CRISPR screening in tumor immunology. Front Immunol. 2022;13:1041451. DOI: 10.3389/fimmu.2022.1041451
- Menon AV, Song B, Chao L, Sriram D, Chansky P, Bakshi I, et al. Unraveling the future of genomics: CRISPR, single-cell omics, and the applications in cancer and immunology. Front Genome Ed. 2025;7:1565387. DOI: 10.3389/fgeed.2025.1565387
- Tan WLW, Seow WQ, Zhang A, Rhee S, Wong WH, Greenleaf WJ, et al. Current and future perspectives of single-cell multi-omics technologies in cardiovascular research. Nat Cardiovasc Res. 2023;2(1):20-34. DOI: 10.1038/s44161-022-00205-7
- Rabaan AA, AlSaihati H, Bukhamsin R, Bakhrebah MA, Nassar MS, Alsaleh AA, et al. Application of CRISPR/Cas9 technology in cancer treatment: a future direction. Curr Oncol. 2023;30(2):1954-1976. DOI: 10.3390/curroncol30020152
- Meng H, Nan M, Li Y, Ding Y, Yin Y, Zhang M. Application of CRISPR-Cas9 gene editing technology in basic research, diagnosis and treatment of colon cancer. Front Endocrinol. 2023;14:1148412. DOI: 10.3389/fendo.2023.1148412
- Gervais NC, La Bella AA, Wensing LF, Sharma J, Acquaviva V, Best M, et al. Development and applications of a CRISPR activation system for facile genetic overexpression in Candida albicans. G3 (Bethesda). 2023;13(2):jkac301. DOI: 10.1093/g3journal/jkac301
- Kantor A, McClements ME, MacLaren RE. CRISPR-Cas9 DNA base-editing and prime-editing. Int J Mol Sci. 2020;21(17):6240. DOI: 10.3390/ijms21176240
- Li YR, Lyu Z, Tian Y, Fang Y, Zhu Y, Chen Y, et al. Advancements in CRISPR screens for the development of cancer immunotherapy strategies. Mol Ther Oncolytics. 2023;31:100733. DOI: 10.1016/j.omto.2023.100733
- Ravichandran M, Maddalo D. Applications of CRISPR-Cas9 for advancing precision medicine in oncology: from target discovery to disease modeling. Front Genet. 2023;14:1273994. DOI: 10.3389/fgene.2023.1273994
- Yang W, Zhang T, Song X, Dong G, Xu L, Jiang F. SNP-target genes interaction perturbing the cancer risk in the post-GWAS. Cancers (Basel). 2022;14(22):5636. DOI: 10.3390/cancers14225636
- Arora HL, Sekar G, Phadnis A, Bahot A, Bomle D, Patel V, et al. Emerging hallmarks and the rise of complexities and heterogeneity of tumor. Biochem Biophys Rep. 2025;44:102347. DOI: 10.1016/j.bbrep.2025.102347
- Zhu Z, Shen J, Ho PCL, Hu Y, Ma Z, Wang L. Transforming cancer treatment: integrating patient-derived organoids and CRISPR screening for precision medicine. Front Pharmacol. 2025;16:1563198. DOI: 10.3389/fphar.2025.1563198
- Le J, Dian Y, Zhao D, Guo Z, Luo Z, Chen X, et al. Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment. Mol Cancer. 2025;24:221. DOI: 10.1186/s12943-025-02426-3
- Ortega-Batista A, Jaén-Alvarado Y, Moreno-Labrador D, Gómez N, García G, Guerrero EN. Single-cell sequencing: genomic and transcriptomic approaches in cancer cell biology. Int J Mol Sci. 2025;26(5):2074. DOI: 10.3390/ijms26052074
- Butterfield GL, Reisman SJ, Iglesias N, Gersbach CA. Gene regulation technologies for gene and cell therapy. Mol Ther. 2025;33(5):2104-2122. DOI: 10.1016/j.ymthe.2025.04.004
- Wu X, Yang X, Dai Y, Zhao Z, Zhu J, Guo H, et al. Single-cell sequencing to multi-omics: technologies and applications. Biomark Res. 2024;12:110. DOI: 10.1186/s40364-024-00643-4
- Pfohl U, Pflaume A, Regenbrecht M, Finkler S, Graf Adelmann Q, Reinhard C, et al. Precision oncology beyond genomics: the future is here—it is just not evenly distributed. Cells. 2021;10(4):928. DOI: 10.3390/cells10040928
- An Y, Wang Q, Gao K, Zhang C, Ouyang Y, Li R, et al. Epigenetic regulation of aging and its rejuvenation. MedComm. 2025;6(9):e70369. DOI: 10.1002/mco2.70369
- Shevade K, Yang YA, Feng K, Mader K, Sevim V, Parsons J, et al. Simultaneous capture of single cell RNA-seq, ATAC-seq, and CRISPR perturbation enables multiomic screens to identify gene regulatory relationships. Cell Rep Methods. 2025;5(12):101222. DOI: 10.1016/j.crmeth.2025.101222
- Wang C, Zhou J, Zhang H, Zhuang Z, Bai G, Tang M, et al. Computational analyses and challenges of single-cell ATAC-seq. Genomics Proteomics Bioinformatics. 2025;23(6):qzaf115. DOI: 10.1093/gpbjnl/qzaf115
- Abdul-Hussin IF, Alkhalidi MHO, Al-Musawi S, Alshalah LAM, Sheykhhasan M. CRISPR-Cas9 in functional genomics: implications for target validation in precision oncology. Trends Pharm Biotechnol. 2025;3(1):36-48. DOI: 10.57238/tpb.2025.153196.1026
- Srivastava K, Pandit B. Genome-wide CRISPR screens and their applications in infectious disease. Front Genome Ed. 2023;5:1243731. DOI: 10.3389/fgeed.2023.1243731
- Tang N, Li J, Gu A, Li M, Liu Y. Single-cell multi-omics in biliary tract cancers: decoding heterogeneity, microenvironment, and treatment strategies. Mol Biomed. 2025;6:82. DOI: 10.1186/s43556-025-00330-2
- Liu SJ, Zou C, Pak J, Morse A, Pang D, Casey-Clyde T, et al. In vivo perturb-seq of cancer and microenvironment cells dissects oncologic drivers and radiotherapy responses in glioblastoma. Genome Biol. 2024;25:256. DOI: 10.1186/s13059-024-03404-6
- Finkbeiner S. Functional genomics, genetic risk profiling and cell phenotypes in neurodegenerative disease. Neurobiol Dis. 2020;146:105088. DOI: 10.1016/j.nbd.2020.105088
- Lalla M, Ratnani A, Yang J, Wang M, Cheng H. Drug-tolerant persister cells and tumor dormancy in NSCLC: a new frontier in overcoming therapeutic resistance. Cancers (Basel). 2026;18(5):779. DOI: 10.3390/cancers18050779
- Binan L, Danquah S, Valakh V, Simonton B, Bezney J, Nehme R, et al. Simultaneous CRISPR screening and spatial transcriptomics reveals intracellular, intercellular, and functional transcriptional circuits. bioRxiv. 2023 Nov 30 [preprint]. DOI: 10.1101/2023.11.30.569494
- Șerban M, Toader C, Covache-Busuioc RA. CRISPR and artificial intelligence in neuroregeneration: closed-loop strategies for precision medicine, spinal cord repair, and adaptive neuro-oncology. Int J Mol Sci. 2025;26(19):9409. DOI: 10.3390/ijms26199409
- Sannigrahi MK, Cao AC, Rajagopalan P, Sun L, Brody RM, Raghav L, et al. A novel pipeline for prioritizing cancer type‐specific therapeutic vulnerabilities using DepMap identifies PAK2 as a target in head and neck squamous cell carcinomas. Mol Oncol. 2024;18(2):336-349. DOI: 10.1002/1878-0261.13558
- Bharadwaj S, Mierzwicka JM, Vaňková L, Malý P. Unraveling the molecular-pathological characteristics and cellular complexity of the tumor immune microenvironment in metastatic non-small cell lung cancer. Cell Commun Signal. 2025;23:400. DOI: 10.1186/s12964-025-02410-w
- Prindle V, Richardson AE, Sher KR, Kongpachith S, Kentala K, Petiwala S, et al. Synthetic lethality of mRNA quality control complexes in cancer. Nature. 2025;638(8052):1095-1103. DOI: 10.1038/s41586-024-08398-6
- Konda P, Garinet S, Van Allen EM, Viswanathan SR. Genome-guided discovery of cancer therapeutic targets. Cell Rep. 2023;42(8):112978. DOI: 10.1016/j.celrep.2023.112978
- Tan SYX, Zhang J, Tee WW. Epigenetic regulation of inflammatory signaling and inflammation-induced cancer. Front Cell Dev Biol. 2022;10:931493. DOI: 10.3389/fcell.2022.931493
- McLean B, Istadi A, Clack T, Vankan M, Schramek D, Neely GG, et al. A CRISPR path to finding vulnerabilities and solving drug resistance: targeting the diverse cancer landscape and its ecosystem. Adv Genet. 2022;3(4):2200014. DOI: 10.1002/ggn2.202200014
- Ng CX, Lee SY, Yap XY, Wong YH, Loh JS, Ang KP, et al. Epigenetic reprogramming as the nexus of cancer stemness and therapy resistance: implications for biomarker discovery. Discov Oncol. 2025;16:2220. DOI: 10.1007/s12672-025-04085-8
- Guo D, Guo Y, Zhu C, Liao Y, Lin Z, Zhang H, et al. Programmed cell death network in cancer drug resistance: a framework for therapeutic intervention. Drug Resist Updat. 2026;86:101387. DOI: 10.1016/j.drup.2026.101387
- Khan SU, Fatima K, Aisha S, Malik F. Unveiling the mechanisms and challenges of cancer drug resistance. Cell Commun Signal. 2024;22(1):109. DOI: 10.1186/s12964-023-01302-1
- Han H, Sun X, Guo X, Wen J, Zhao X, Zhou W. CRISPR/Cas9 technology in tumor research and drug development application progress and future prospects. Front Pharmacol. 2025;16:1552741. DOI: 10.3389/fphar.2025.1552741
- Jamalinia M, Weiskirchen R. Advances in personalized medicine: translating genomic insights into targeted therapies for cancer treatment. Ann Transl Med. 2025;13(2):18. DOI: 10.21037/atm-25-34
- Passaro A, Al Bakir M, Hamilton EG, Diehn M, André F, Roy-Chowdhuri S, et al. Cancer biomarkers—emerging trends and clinical implications for personalized treatment. Cell. 2024;187(7):1617-1635. DOI: 10.1016/j.cell.2024.02.041
- Liang A, Kong Y, Chen Z, Qiu Y, Wu Y, Zhu X, et al. Advancements and applications of single-cell multi-omics techniques in cancer research: unveiling heterogeneity and paving the way for precision therapeutics. Biochem Biophys Rep. 2024;37:101589. DOI: 10.1016/j.bbrep.2023.101589
- Dong M, Wang L, Hu N, Rao Y, Wang Z, Zhang Y. Integration of multi-omics approaches in exploring intra-tumoral heterogeneity. Cancer Cell Int. 2025;25(1):317. DOI: 10.1186/s12935-025-03944-2
- Shuai Y, Huang H. Transcriptional and epigenetic reprogramming, lineage plasticity and therapy resistance in prostate cancer. J Natl Cancer Cent. 2026;6(1):73-87. DOI: 10.1016/j.jncc.2025.06.001
- Motohashi S, Katsuta E, Ban D. Advances and challenges in drug screening for cancer therapy: a comprehensive review. Bioengineering (Basel). 2025;12(12):1315. DOI: 10.3390/bioengineering12121315
- Cao H, Oghenemaro EF, Latypova A, Abosaoda MK, Zaman GS, Devi A. Advancing clinical biochemistry: addressing gaps and driving future innovations. Front Med (Lausanne). 2025;12:1521126. DOI: 10.3389/fmed.2025.1521126
- Leming MJ, Bron EE, Bruffaerts R, Ou Y, Iglesias JE, Gollub RL, et al. Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting. NPJ Digit Med. 2023;6:129. DOI: 10.1038/s41746-023-00868-x
- Clark AJ, Lillard JW Jr. A comprehensive review of bioinformatics tools for genomic biomarker discovery driving precision oncology. Genes (Basel). 2024;15(8):1036. DOI: 10.3390/genes15081036
- Tsimberidou AM, Fountzilas E, Nikanjam M, Kurzrock R. Review of precision cancer medicine: evolution of the treatment paradigm. Cancer Treat Rev. 2020;86:102019. DOI: 10.1016/j.ctrv.2020.102019
- Jiang Z, Zhang H, Gao Y, Sun Y. Multi-omics strategies for biomarker discovery and application in personalized oncology. Mol Biomed. 2025;6:115. DOI: 10.1186/s43556-025-00340-0
- Ghoreyshi N, Heidari R, Farhadi A, Chamanara M, Farahani N, Vahidi M, et al. Next-generation sequencing in cancer diagnosis and treatment: clinical applications and future directions. Discov Oncol. 2025;16:578. DOI: 10.1007/s12672-025-01816-9
- Colonna G. Overcoming barriers in cancer biology research: current limitations and solutions. Cancers (Basel). 2025;17(13):2102. DOI: 10.3390/cancers17132102
- Varshney GK, Burgess SM. CRISPR-based functional genomics tools in vertebrate models. Exp Mol Med. 2025;57(7):1355-1372. DOI: 10.1038/s12276-025-01514-0
- Castells-Roca L, Tejero E, Rodríguez-Santiago B, Surrallés J. CRISPR screens in synthetic lethality and combinatorial therapies for cancer. Cancers (Basel). 2021;13(7):1591. DOI: 10.3390/cancers13071591
- Ali SIM, Alrashid SZ. A review of methods for gene regulatory networks reconstruction and analysis. Artif Intell Rev. 2025;58(8):256. DOI: 10.1007/s10462-025-11257-z
- Heumos L, Ji Y, May L, Green TD, Peidli S, Zhang X, et al. Pertpy: an end-to-end framework for perturbation analysis. Nat Methods. 2026;23(2):350-359. DOI: 10.1038/s41592-025-02909-7
- Haddadin L, Sun X. Stem cells in cancer: from mechanisms to therapeutic strategies. Cells. 2025;14(7):538. DOI: 10.3390/cells14070538
- Al-Kabani A, Huda B, Haddad J, Yousuf M, Bhurka F, Ajaz F, et al. Exploring experimental models of colorectal cancer: a critical appraisal from 2D cell systems to organoids, humanized mouse avatars, organ-on-chip, CRISPR engineering, and AI-driven platforms—challenges and opportunities for translational precision oncology. Cancers (Basel). 2025;17(13):2163. DOI: 10.3390/cancers17132163
- Garg P, Singhal G, Pareek S, Kulkarni P, Horne D, Nath A, et al. Unveiling the potential of gene editing techniques in revolutionizing cancer treatment: a comprehensive overview. Biochim Biophys Acta Rev Cancer. 2025;1880(1):189233. DOI: 10.1016/j.bbcan.2024.189233
- Brancato V, Esposito G, Coppola L, Cavaliere C, Mirabelli P, Scapicchio C, et al. Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine. J Transl Med. 2024;22:136. DOI: 10.1186/s12967-024-04891-8
- Seijas A, Cora D, Novo M, Al-Soufi W, Sánchez L, Arana ÁJ. CRISPR/Cas9 delivery systems to enhance gene editing efficiency. Int J Mol Sci. 2025;26(9):4420. DOI: 10.3390/ijms26094420
- Krejcar O, Abdullah J, Namazi H. Implementing XAI in life sciences: key challenges and pathways to solutions. Artif Intell Life Sci. 2026;9:100153. DOI: 10.1016/j.ailsci.2026.100153
- Chen JF, Yan Q. The roles of epigenetics in cancer progression and metastasis. Biochem J. 2021;478(17):3373-3393. DOI: 10.1042/BCJ20210084
- Michael B, Veerasami H, Jayaprakash N. Artificial intelligence and big data for decoding infectious disease transmission dynamics and outbreak prediction. Decod Infect Transm. 2026;4:100079. DOI: 10.1016/j.dcit.2026.100079
- Fahim YA, Hasani IW, Kabba S, Ragab WM. Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives. Eur J Med Res. 2025;30:848. DOI: 10.1186/s40001-025-03196-w
- Far BF. Artificial intelligence ethics in precision oncology: balancing advancements in technology with patient privacy and autonomy. Explor Target Antitumor Ther. 2023;4(4):685-689. DOI: 10.37349/etat.2023.00160
- Liu Y, Zhu K, Peng W, Liu Z, Mao X. Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications. Signal Transduct Target Ther. 2026;11(1):210. DOI: 10.1038/s41392-026-02631-6
- Haider S, Singh AP, Panthi B, Sindhu SR, Safa NT, Malik S, et al. Advances in CRISPR/Cas9 genome editing for crop improvement and global food security. Curr Plant Biol. 2026;46:100593. DOI: 10.1016/j.cpb.2026.100593
- Banushi B, Collova J, Milroy H. Epigenetic echoes: bridging nature, nurture, and healing across generations. Int J Mol Sci. 2025;26(7):3075. DOI: 10.3390/ijms26073075
- Baek SW, Yoon SY, Kim SK, Leem SH. Therapy-driven molecular evolution of bladder cancer: roles of cellular plasticity and tumor microenvironment. Int J Mol Sci. 2026;27(12):5152. DOI: 10.3390/ijms27125152
- Cen X, Huang X, Deng E, Gong X, Tan N, Ye J, et al. Single‐cell and spatial omics: methods and applications. MedComm. 2026;7(4):e70713. DOI: 10.1002/mco2.70713
- Ansori ANM, Antonius Y, Susilo RJK, Hayaza S, Kharisma VD, Parikesit AA, et al. Application of CRISPR-Cas9 genome editing technology in various fields: a review. Narra J. 2023;3(2):e184. DOI: 10.52225/narra.v3i2.184
- Boehm KM, Khosravi P, Vanguri R, Gao J, Shah SP. Harnessing multimodal data integration to advance precision oncology. Nat Rev Cancer. 2022;22(2):114-126. DOI: 10.1038/s41568-021-00408-3
- Agbo Eje O, Azim SM, Dehzangi I. Explainable AI applications in healthcare: a systematic review. Algorithms. 2026;19(6):488. DOI: 10.3390/a19060488
- Uddin F, Rudin CM, Sen T. CRISPR gene therapy: applications, limitations, and implications for the future. Front Oncol. 2020;10:1387. DOI: 10.3389/fonc.2020.01387
- Oliva A, Kaphle A, Reguant R, Sng LMF, Twine NA, Malakar Y, et al. Future-proofing genomic data and consent management: a comprehensive review of technology innovations. GigaScience. 2024;13:giae021. DOI: 10.1093/gigascience/giae021
- Freidlin B, Korn EL, Maki RG. Molecular profiling for precision oncology: moving beyond feasibility and safety. J Clin Oncol. 2026;44(7):515-517. DOI: 10.1200/JCO-25-02642
- Dogiparthi LK, Bukke SPN, Thalluri C, Thalamanchi B, Vidya KP, Sree GN, et al. The role of genomics and proteomics in drug discovery and its application in pharmacy. Discov Appl Sci. 2025;7(6):552. DOI: 10.1007/s42452-025-07155-2
- Rusciano D. Molecular oncodiagnostics in precision oncology: integrating tumor transcriptomics, patient pharmacogenetics, and ex vivo chemoresistance testing to improve individual chemotherapy response. J Pers Med. 2026;16(4):176. DOI: 10.3390/jpm16040176
- Ahmad Z, Rahim S, Zubair M, Abdul-Ghafar J. The age of molecular biomarkers: cancer in the era of personalized medicine. What do pathologists in developing countries need to know and understand? Int J Gen Med. 2026;19:590285. DOI: 10.2147/IJGM.S590285
- Baumann AA, Buribayev Z, Wolkenhauer O, Salybekov AA, Wolfien M. Epigenomic echoes—decoding genomic and epigenetic instability to distinguish lung cancer types and predict relapse. Epigenomes. 2025;9(1):5. DOI: 10.3390/epigenomes9010005
- Ramón y Cajal S, Sesé M, Capdevila C, Aasen T, De Mattos-Arruda L, Diaz-Cano SJ, et al. Clinical implications of intratumor heterogeneity: challenges and opportunities. J Mol Med (Berl). 2020;98(2):161-177. DOI: 10.1007/s00109-020-01874-2
- Proietto M, Crippa M, Damiani C, Pasquale V, Sacco E, Vanoni M, et al. Tumor heterogeneity: preclinical models, emerging technologies, and future applications. Front Oncol. 2023;13:1164535. DOI: 10.3389/fonc.2023.1164535
- Smirnov D, Konstantinovskiy N, Prokisch H. Integrative omics approaches to advance rare disease diagnostics. J Inherit Metab Dis. 2023;46(5):824-838. DOI: 10.1002/jimd.12663
- Park BS, Lee M, Kim J, Kim T. Perturbomics: CRISPR–Cas screening-based functional genomics approach for drug target discovery. Exp Mol Med. 2025;57(7):1443-1454. DOI: 10.1038/s12276-025-01487-0
- Singh SR, Bhaskar R, Ghosh S, Yarlagadda B, Singh KK, Verma P, et al. Exploring the genetic orchestra of cancer: the interplay between oncogenes and tumor-suppressor genes. Cancers (Basel). 2025;17(7):1082. DOI: 10.3390/cancers17071082
- Mahgoub EO, Cho WC, Sharifi M, Falahati M, Zeinabad HA, Mare HE, et al. Role of functional genomics in identifying cancer drug resistance and overcoming cancer relapse. Heliyon. 2023;10(1):e22095. DOI: 10.1016/j.heliyon.2023.e22095
- Huber A, Djajawi TM, Rivera IS, Vervoort SJ, Kearney CJ. CRISPR screens define unified hallmarks of cancer cell-autonomous immune evasion. Cell Rep. 2026;45(1):116738. DOI: 10.1016/j.celrep.2025.116738
- Patel SK, George B, Rai V. Artificial intelligence to decode cancer mechanism: beyond patient stratification for precision oncology. Front Pharmacol. 2020;11:1177. DOI: 10.3389/fphar.2020.01177
- Satam H, Joshi K, Mangrolia U, Waghoo S, Zaidi G, Rawool S, et al. Next-generation sequencing technology: current trends and advancements. Biology (Basel). 2023;12(7):997. DOI: 10.3390/biology12070997
- Giovannoni C, Metta C, Monreale A, Rinzivillo S. A survey on multimodal explainable artificial intelligence. Intell Syst Appl. 2026;31:200671. DOI: 10.1016/j.iswa.2026.200671
- Xu D, Tang Y, Luo J, Wen C. Computational approaches to multimodal data integration in rheumatoid arthritis: from data landscape to clinical translation. Brief Bioinform. 2026;27(1):bbag073. DOI: 10.1093/bib/bbag073
- Djelti F, Hani M, Chetbani Y, Belaadi A, Ammarullah MI. Surviving the siege: a review on the metabolic hallmarks of cancer dormancy. Cancer Treat Res Commun. 2026;47:101123. DOI: 10.1016/j.ctarc.2026.101123
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