51
|
Junior MGV, Côrtes AMDA, Carneiro FRG, Carels N, da Silva FAB. Unveiling the Dynamics behind Glioblastoma Multiforme Single-Cell Data Heterogeneity. Int J Mol Sci 2024; 25:4894. [PMID: 38732140 PMCID: PMC11084314 DOI: 10.3390/ijms25094894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 05/13/2024] Open
Abstract
Glioblastoma Multiforme is a brain tumor distinguished by its aggressiveness. We suggested that this aggressiveness leads single-cell RNA-sequence data (scRNA-seq) to span a representative portion of the cancer attractors domain. This conjecture allowed us to interpret the scRNA-seq heterogeneity as reflecting a representative trajectory within the attractor's domain. We considered factors such as genomic instability to characterize the cancer dynamics through stochastic fixed points. The fixed points were derived from centroids obtained through various clustering methods to verify our method sensitivity. This methodological foundation is based upon sample and time average equivalence, assigning an interpretative value to the data cluster centroids and supporting parameters estimation. We used stochastic simulations to reproduce the dynamics, and our results showed an alignment between experimental and simulated dataset centroids. We also computed the Waddington landscape, which provided a visual framework for validating the centroids and standard deviations as characterizations of cancer attractors. Additionally, we examined the stability and transitions between attractors and revealed a potential interplay between subtypes. These transitions might be related to cancer recurrence and progression, connecting the molecular mechanisms of cancer heterogeneity with statistical properties of gene expression dynamics. Our work advances the modeling of gene expression dynamics and paves the way for personalized therapeutic interventions.
Collapse
Affiliation(s)
- Marcos Guilherme Vieira Junior
- Graduate Program in Computational and Systems Biology, Oswaldo Cruz Institute (IOC), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil;
| | - Adriano Maurício de Almeida Côrtes
- Department of Applied Mathematics, Institute of Mathematics, Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-909, Brazil;
- Systems Engineering and Computer Science Program, Coordination of Postgraduate Programs in Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro 21941-972, Brazil
| | - Flávia Raquel Gonçalves Carneiro
- Center of Technological Development in Health (CDTS), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-361, Brazil;
- Laboratório Interdisciplinar de Pesquisas Médicas, Oswaldo Cruz Institute (IOC), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-900, Brazil
- Program of Immunology and Tumor Biology, Brazilian National Cancer Institute (INCA), Rio de Janeiro 20231-050, Brazil
| | - Nicolas Carels
- Laboratory of Biological System Modeling, Center of Technological Development in Health (CDTS), Oswaldo Cruz Foundation (FIOCRUZ), Rio de Janeiro 21040-361, Brazil
| | | |
Collapse
|
52
|
Liu Y, Edrisi M, Yan Z, A Ogilvie H, Nakhleh L. NestedBD: Bayesian inference of phylogenetic trees from single-cell copy number profiles under a birth-death model. Algorithms Mol Biol 2024; 19:18. [PMID: 38685065 PMCID: PMC11059640 DOI: 10.1186/s13015-024-00264-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 03/27/2024] [Indexed: 05/02/2024] Open
Abstract
Copy number aberrations (CNAs) are ubiquitous in many types of cancer. Inferring CNAs from cancer genomic data could help shed light on the initiation, progression, and potential treatment of cancer. While such data have traditionally been available via "bulk sequencing," the more recently introduced techniques for single-cell DNA sequencing (scDNAseq) provide the type of data that makes CNA inference possible at the single-cell resolution. We introduce a new birth-death evolutionary model of CNAs and a Bayesian method, NestedBD, for the inference of evolutionary trees (topologies and branch lengths with relative mutation rates) from single-cell data. We evaluated NestedBD's performance using simulated data sets, benchmarking its accuracy against traditional phylogenetic tools as well as state-of-the-art methods. The results show that NestedBD infers more accurate topologies and branch lengths, and that the birth-death model can improve the accuracy of copy number estimation. And when applied to biological data sets, NestedBD infers plausible evolutionary histories of two colorectal cancer samples. NestedBD is available at https://github.com/Androstane/NestedBD .
Collapse
Affiliation(s)
- Yushu Liu
- Department of Computer Science, Rice University, 6100 Main St, Houston, 77005, TX, USA.
| | - Mohammadamin Edrisi
- Department of Computer Science, Rice University, 6100 Main St, Houston, 77005, TX, USA
| | - Zhi Yan
- Department of Computer Science, Rice University, 6100 Main St, Houston, 77005, TX, USA
| | - Huw A Ogilvie
- Department of Genetics, University of Texas MD Anderson Cancer Center, TX, 77030, Houston, USA
| | - Luay Nakhleh
- Department of Computer Science, Rice University, 6100 Main St, Houston, 77005, TX, USA
| |
Collapse
|
53
|
Aguadé-Gorgorió G, Anderson AR, Solé R. Modeling tumors as species-rich ecological communities. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.22.590504. [PMID: 38712062 PMCID: PMC11071393 DOI: 10.1101/2024.04.22.590504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2024]
Abstract
Many advanced cancers resist therapeutic intervention. This process is fundamentally related to intra-tumor heterogeneity: multiple cell populations, each with different mutational and phenotypic signatures, coexist within a tumor and its metastatic nodes. Like species in an ecosystem, many cancer cell populations are intertwined in a complex network of ecological interactions. Most mathematical models of tumor ecology, however, cannot account for such phenotypic diversity nor are able to predict its consequences. Here we propose that the Generalized Lotka-Volterra model (GLV), a standard tool to describe complex, species-rich ecological communities, provides a suitable framework to describe the ecology of heterogeneous tumors. We develop a GLV model of tumor growth and discuss how its emerging properties, such as outgrowth and multistability, provide a new understanding of the disease. Additionally, we discuss potential extensions of the model and their application to three active areas of cancer research, namely phenotypic plasticity, the cancer-immune interplay and the resistance of metastatic tumors to treatment. Our work outlines a set of questions and a tentative road map for further research in cancer ecology.
Collapse
Affiliation(s)
| | - Alexander R.A. Anderson
- Integrated Mathematical Oncology Department, H. Lee Moffitt Cancer Center & Research Institute, Tampa, USA
| | - Ricard Solé
- ICREA-Complex Systems Lab, UPF-PRBB, Dr. Aiguader 80, 08003 Barcelona, Spain
- Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
| |
Collapse
|
54
|
Payne KFB, Brotherwood P, Suriyanarayanan H, Brooks JM, Batis N, Beggs AD, Gendoo DMA, Mehanna H, Nankivell P. Circulating tumour DNA detects somatic variants contributing to spatial and temporal intra-tumoural heterogeneity in head and neck squamous cell carcinoma. Front Oncol 2024; 14:1374816. [PMID: 38846976 PMCID: PMC11154907 DOI: 10.3389/fonc.2024.1374816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/09/2024] [Indexed: 06/09/2024] Open
Abstract
Background As circulating tumour DNA (ctDNA) liquid biopsy analysis is increasingly incorporated into modern oncological practice, establishing the impact of genomic intra-tumoural heterogeneity (ITH) upon data output is paramount. Despite advances in other cancer types the evidence base in head and neck squamous cell carcinoma (HNSCC) remains poor. We sought to investigate the utility of ctDNA to detect ITH in HNSCC. Methods In a pilot cohort of 9 treatment-naïve HNSCC patients, DNA from two intra-tumoural sites (core and margin) was whole-exome sequenced. A 9-gene panel was designed to perform targeted sequencing on pre-treatment plasma cell-free DNA and selected post-treatment samples. Results Rates of genomic ITH among the 9 patients was high. COSMIC variants from 19 TCGA HNSCC genes demonstrated an 86.9% heterogeneity rate (present in one tumour sub-site only). Across all patients, cell-free DNA (ctDNA) identified 12.9% (range 7.5-19.8%) of tumour-specific variants, of which 55.6% were specific to a single tumour sub-site only. CtDNA identified 79.0% (range: 55.6-90.9%) of high-frequency variants (tumour VAF>5%). Analysis of ctDNA in serial post-treatment blood samples in patients who suffered recurrence demonstrated dynamic changes in both tumour-specific and acquired variants that predicted recurrence ahead of clinical detection. Conclusion We demonstrate that a ctDNA liquid biopsy identified spatial genomic ITH in HNSCC and reliably detected high-frequency driver mutations. Serial sampling allowed post-treatment surveillance and early identification of treatment failure.
Collapse
Affiliation(s)
- Karl F. B. Payne
- Institute of Head and Neck Studies and Education, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Peter Brotherwood
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Harini Suriyanarayanan
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Jill M. Brooks
- Institute of Head and Neck Studies and Education, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Nikolaos Batis
- School of Biomedical Sciences, Institute of Clinical Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Andrew D. Beggs
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Deena M. A. Gendoo
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
- Institute for Interdisciplinary Data Science and AI, University of Birmingham, Birmingham, United Kingdom
| | - Hisham Mehanna
- Institute of Head and Neck Studies and Education, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Paul Nankivell
- Institute of Head and Neck Studies and Education, Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| |
Collapse
|
55
|
Li R, Shi F, Song L, Yu Z. scGAL: unmask tumor clonal substructure by jointly analyzing independent single-cell copy number and scRNA-seq data. BMC Genomics 2024; 25:393. [PMID: 38649804 PMCID: PMC11034052 DOI: 10.1186/s12864-024-10319-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 04/17/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Accurately deciphering clonal copy number substructure can provide insights into the evolutionary mechanism of cancer, and clustering single-cell copy number profiles has become an effective means to unmask intra-tumor heterogeneity (ITH). However, copy numbers inferred from single-cell DNA sequencing (scDNA-seq) data are error-prone due to technically confounding factors such as amplification bias and allele-dropout, and this makes it difficult to precisely identify the ITH. RESULTS We introduce a hybrid model called scGAL to infer clonal copy number substructure. It combines an autoencoder with a generative adversarial network to jointly analyze independent single-cell copy number profiles and gene expression data from same cell line. Under an adversarial learning framework, scGAL exploits complementary information from gene expression data to relieve the effects of noise in copy number data, and learns latent representations of scDNA-seq cells for accurate inference of the ITH. Evaluation results on three real cancer datasets suggest scGAL is able to accurately infer clonal architecture and surpasses other similar methods. In addition, assessment of scGAL on various simulated datasets demonstrates its high robustness against the changes of data size and distribution. scGAL can be accessed at: https://github.com/zhyu-lab/scgal . CONCLUSIONS Joint analysis of independent single-cell copy number and gene expression data from a same cell line can effectively exploit complementary information from individual omics, and thus gives more refined indication of clonal copy number substructure.
Collapse
Affiliation(s)
- Ruixiang Li
- School of Information Engineering, Ningxia University, Yinchuan, 750021, China
| | - Fangyuan Shi
- School of Information Engineering, Ningxia University, Yinchuan, 750021, China
- Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Ningxia University, Yinchuan, 750021, China
| | - Lijuan Song
- School of Information Engineering, Ningxia University, Yinchuan, 750021, China
- Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Ningxia University, Yinchuan, 750021, China
| | - Zhenhua Yu
- School of Information Engineering, Ningxia University, Yinchuan, 750021, China.
- Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Ningxia University, Yinchuan, 750021, China.
| |
Collapse
|
56
|
Tang H, Miao X, Yu C, Chai C, Su Y, Li L, Yi J, Ye Z, Miao L, Wang Z, Zhang H, Xu H, Zhou W. A novel multidrug-resistant cell line from a Chinese patient with pancreatic ductal adenocarcinoma. Sci Rep 2024; 14:9259. [PMID: 38649719 PMCID: PMC11035558 DOI: 10.1038/s41598-024-56464-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 03/06/2024] [Indexed: 04/25/2024] Open
Abstract
Chemotherapy resistance poses clinical challenges in pancreatic cancer treatment. Developing cell lines resistant to chemotherapy is crucial for investigating drug resistance mechanisms and identifying alternative treatment pathways. The genetic and biological attributes of pancreatic cancer depend on its aetiology, racial demographics and anatomical origin, underscoring the need for models that comprehensively represent these characteristics. Here, we introduce PDAC-X2, a pancreatic cancer cell line derived from Chinese patients. We conducted a comprehensive analysis encompassing the immune phenotype, biology, genetics, molecular characteristics and tumorigenicity of the cell line. PDAC-X2 cells displayed epithelial morphology and expressed cell markers (CK7 and CK19) alongside other markers (E-cadherin, Vimentin, Ki-67, CEA and CA19-9). The population doubling time averaged around 69 h. In vivo, PDAC-X2 cells consistently maintained their tumorigenicity, achieving a 100% tumour formation rate. Characterised by a predominantly tetraploid karyotype, this cell line exhibited a complex genetic markup. Notably, PDAC-X2 cells demonstrated resistance to multiple drugs, including gemcitabine, paclitaxel, 5-fluorouracil and oxaliplatin. In conclusion, PDAC-X2 presents an invaluable preclinical model. Its utility lies in facilitating the study of drug resistance mechanisms and the exploration of alternative therapeutic approaches aimed at enhancing the prognosis of this tumour type.
Collapse
Affiliation(s)
- Huan Tang
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
| | - Xin Miao
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China
| | - Cheng Yu
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
- Department of Anesthesiology, Lanzhou University Second Hospital, Lanzhou, 730000, China
| | - Changpeng Chai
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
- The Fourth Department of General Surgery, the First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Yuanhui Su
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
| | - Lu Li
- The Fourth Department of General Surgery, the First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Jianfeng Yi
- The First Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
- The First School of Clinical Medicine of Gansu University of Chinese Medicine, Lanzhou, 730000, China
| | - Zhenzhen Ye
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
- The First School of Clinical Medicine of Gansu University of Chinese Medicine, Lanzhou, 730000, China
| | - Long Miao
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
- The Fourth Department of General Surgery, the First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Zhengfeng Wang
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China
- The Fourth Department of General Surgery, the First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Hui Zhang
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China.
- Department of General Surgery, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, China.
| | - Hao Xu
- The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, 310006, China.
- Department of Hepatobiliary Surgery, Zhejiang Provincial Hospital of Traditional Chinese Medicine, Hangzhou, 310006, China.
| | - Wence Zhou
- The Second Clinical Medical School of Lanzhou University, Lanzhou, 730000, China.
- Department of General Surgery, Lanzhou University Second Hospital, No. 82 Cuiyingmen, Chengguan District, Lanzhou, 730000, Gansu, China.
| |
Collapse
|
57
|
Zhang Y, Hu Q, Pei Y, Luo H, Wang Z, Xu X, Zhang Q, Dai J, Wang Q, Fan Z, Fang Y, Ye M, Li B, Chen M, Xue Q, Zheng Q, Zhang S, Huang M, Zhang T, Gu J, Xiong Z. A patient-specific lung cancer assembloid model with heterogeneous tumor microenvironments. Nat Commun 2024; 15:3382. [PMID: 38643164 PMCID: PMC11032376 DOI: 10.1038/s41467-024-47737-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/08/2024] [Indexed: 04/22/2024] Open
Abstract
Cancer models play critical roles in basic cancer research and precision medicine. However, current in vitro cancer models are limited by their inability to mimic the three-dimensional architecture and heterogeneous tumor microenvironments (TME) of in vivo tumors. Here, we develop an innovative patient-specific lung cancer assembloid (LCA) model by using droplet microfluidic technology based on a microinjection strategy. This method enables precise manipulation of clinical microsamples and rapid generation of LCAs with good intra-batch consistency in size and cell composition by evenly encapsulating patient tumor-derived TME cells and lung cancer organoids inside microgels. LCAs recapitulate the inter- and intratumoral heterogeneity, TME cellular diversity, and genomic and transcriptomic landscape of their parental tumors. LCA model could reconstruct the functional heterogeneity of cancer-associated fibroblasts and reflect the influence of TME on drug responses compared to cancer organoids. Notably, LCAs accurately replicate the clinical outcomes of patients, suggesting the potential of the LCA model to predict personalized treatments. Collectively, our studies provide a valuable method for precisely fabricating cancer assembloids and a promising LCA model for cancer research and personalized medicine.
Collapse
Affiliation(s)
- Yanmei Zhang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Qifan Hu
- MOE Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University, Beijing, 100084, China
| | - Yuquan Pei
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Hao Luo
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Zixuan Wang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Xinxin Xu
- Medical School of Chinese PLA, Beijing, 100853, China
| | - Qing Zhang
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Jianli Dai
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Qianqian Wang
- Institute of New Materials and Advanced Manufacturing, Beijing Academy of Science and Technology, Beijing, 100089, China
| | - Zilian Fan
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Yongcong Fang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Min Ye
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Binhan Li
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Mailin Chen
- Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China
| | - Qi Xue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Qingfeng Zheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shulin Zhang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Miao Huang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Surgery II, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Ting Zhang
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China
| | - Jin Gu
- MOE Key Laboratory of Bioinformatics, BNRIST Bioinformatics Division, Department of Automation, Tsinghua University, Beijing, 100084, China.
| | - Zhuo Xiong
- Biomanufacturing Center, Department of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.
- Biomanufacturing and Rapid Forming Technology Key Laboratory of Beijing, Beijing, 100084, China.
- Biomanufacturing and Engineering Living Systems Innovation International Talents Base (111 Base), Beijing, 100084, China.
| |
Collapse
|
58
|
Liu X, Zhang K, Kaya NA, Jia Z, Wu D, Chen T, Liu Z, Zhu S, Hillmer AM, Wuestefeld T, Liu J, Chan YS, Hu Z, Ma L, Jiang L, Zhai W. Tumor phylogeography reveals block-shaped spatial heterogeneity and the mode of evolution in Hepatocellular Carcinoma. Nat Commun 2024; 15:3169. [PMID: 38609353 PMCID: PMC11015015 DOI: 10.1038/s41467-024-47541-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 03/26/2024] [Indexed: 04/14/2024] Open
Abstract
Solid tumors are complex ecosystems with heterogeneous 3D structures, but the spatial intra-tumor heterogeneity (sITH) at the macroscopic (i.e., whole tumor) level is under-explored. Using a phylogeographic approach, we sequence genomes and transcriptomes from 235 spatially informed sectors across 13 hepatocellular carcinomas (HCC), generating one of the largest datasets for studying sITH. We find that tumor heterogeneity in HCC segregates into spatially variegated blocks with large genotypic and phenotypic differences. By dissecting the transcriptomic heterogeneity, we discover that 30% of patients had a "spatially competing distribution" (SCD), where different spatial blocks have distinct transcriptomic subtypes co-existing within a tumor, capturing the critical transition period in disease progression. Interestingly, the tumor regions with more advanced transcriptomic subtypes (e.g., higher cell cycle) often take clonal dominance with a wider geographic range, rejecting neutral evolution for SCD patients. Extending the statistical tests for detecting natural selection to many non-SCD patients reveal varying levels of selective signal across different tumors, implying that many evolutionary forces including natural selection and geographic isolation can influence the overall pattern of sITH. Taken together, tumor phylogeography unravels a dynamic landscape of sITH, pinpointing important evolutionary and clinical consequences of spatial heterogeneity in cancer.
Collapse
Affiliation(s)
- Xiaodong Liu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- School of Life Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Ke Zhang
- Department of General Surgery, Beijing Ditan Hospital, Capital Medical University, No. 8, Jingshun East Street, Chaoyang District, Beijing, P.R. China
| | - Neslihan A Kaya
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | - Zhe Jia
- Department of General Surgery, Beijing Ditan Hospital, Capital Medical University, No. 8, Jingshun East Street, Chaoyang District, Beijing, P.R. China
| | - Dafei Wu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Tingting Chen
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Zhiyuan Liu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- University of the Chinese Academy of Sciences, Beijing, China
| | - Sinan Zhu
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
- Centre for Quantitative Medicine, Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Axel M Hillmer
- Institute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Torsten Wuestefeld
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Jin Liu
- Centre for Quantitative Medicine, Program in Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Yun Shen Chan
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China
| | - Zheng Hu
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Liang Ma
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
| | - Li Jiang
- Department of General Surgery, Beijing Ditan Hospital, Capital Medical University, No. 8, Jingshun East Street, Chaoyang District, Beijing, P.R. China.
| | - Weiwei Zhai
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
| |
Collapse
|
59
|
Brandlmaier M, Hoellwerth M, Koelblinger P, Lang R, Harrer A. Adjuvant PD-1 Checkpoint Inhibition in Early Cutaneous Melanoma: Immunological Mode of Action and the Role of Ultraviolet Radiation. Cancers (Basel) 2024; 16:1461. [PMID: 38672543 PMCID: PMC11047851 DOI: 10.3390/cancers16081461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Revised: 04/03/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Melanoma ranks as the fifth most common solid cancer in adults worldwide and is responsible for a significant proportion of skin-tumor-related deaths. The advent of immune checkpoint inhibition with anti-programmed death protein-1 (PD-1) antibodies has revolutionized the adjuvant treatment of high-risk, completely resected stage III/IV melanoma. However, not all patients benefit equally. Current strategies for improving outcomes involve adjuvant treatment in earlier disease stages (IIB/C) as well as perioperative treatment approaches. Interfering with T-cell exhaustion to counteract cancer immune evasion and the immunogenic nature of melanoma is key for anti-PD-1 effectiveness. Yet, the biological rationale for the efficacy of adjuvant treatment in clinically tumor-free patients remains to be fully elucidated. High-dose intermittent sun exposure (sunburn) is a well-known primary risk factor for melanomagenesis. Also, ultraviolet radiation (UVR)-induced immunosuppression may impair anti-cancer immune surveillance. In this review, we summarize the current knowledge about adjuvant anti-PD-1 blockade, including a characterization of the main cell types most likely responsible for its efficacy. In conclusion, we propose that local and systemic immunosuppression, to some extent UVR-mediated, can be restored by adjuvant anti-PD-1 therapy, consequently boosting anti-melanoma immune surveillance and the elimination of residual melanoma cell clones.
Collapse
Affiliation(s)
- Matthias Brandlmaier
- Department of Dermatology and Allergology, Paracelsus Medical University, 5020 Salzburg, Austria; (M.B.); (M.H.); (P.K.)
| | - Magdalena Hoellwerth
- Department of Dermatology and Allergology, Paracelsus Medical University, 5020 Salzburg, Austria; (M.B.); (M.H.); (P.K.)
| | - Peter Koelblinger
- Department of Dermatology and Allergology, Paracelsus Medical University, 5020 Salzburg, Austria; (M.B.); (M.H.); (P.K.)
| | - Roland Lang
- Department of Dermatology and Allergology, Paracelsus Medical University, 5020 Salzburg, Austria; (M.B.); (M.H.); (P.K.)
| | - Andrea Harrer
- Department of Dermatology and Allergology, Paracelsus Medical University, 5020 Salzburg, Austria; (M.B.); (M.H.); (P.K.)
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Center for Cognitive Neuroscience, 5020 Salzburg, Austria
| |
Collapse
|
60
|
Shen W, Liu C, Hu Y, Lei Y, Wong HS, Wu S, Zhou XM. Leveraging cross-source heterogeneity to improve the performance of bulk gene expression deconvolution. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.07.588458. [PMID: 38645128 PMCID: PMC11030304 DOI: 10.1101/2024.04.07.588458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
A main limitation of bulk transcriptomic technologies is that individual measurements normally contain contributions from multiple cell populations, impeding the identification of cellular heterogeneity within diseased tissues. To extract cellular insights from existing large cohorts of bulk transcriptomic data, we present CSsingle, a novel method designed to accurately deconvolve bulk data into a predefined set of cell types using a scRNA-seq reference. Through comprehensive benchmark evaluations and analyses using diverse real data sets, we reveal the systematic bias inherent in existing methods, stemming from differences in cell size or library size. Our extensive experiments demonstrate that CSsingle exhibits superior accuracy and robustness compared to leading methods, particularly when dealing with bulk mixtures originating from cell types of markedly different cell sizes, as well as when handling bulk and single-cell reference data obtained from diverse sources. Our work provides an efficient and robust methodology for the integrated analysis of bulk and scRNA-seq data, facilitating various biological and clinical studies.
Collapse
Affiliation(s)
- Wenjun Shen
- Department of Bioinformatics, Shantou University Medical College, Shantou, Guangdong 515041, China
| | - Cheng Liu
- Department of Computer Science, Shantou University, Shantou, Guangdong 515041, China
| | - Yunfei Hu
- Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA
| | - Yuanfang Lei
- Department of Bioinformatics, Shantou University Medical College, Shantou, Guangdong 515041, China
| | - Hau-San Wong
- Department of Computer Sciences, City University of Hong Kong, Kowloon, Hong Kong
| | - Si Wu
- Department of Computer Science, South China University of Technology, Guangzhou, Guangdong 510006, China
| | - Xin Maizie Zhou
- Department of Computer Science, Vanderbilt University, Nashville, TN 37235, USA
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37235, USA
| |
Collapse
|
61
|
Yang H, Cheng J, Zhuang H, Xu H, Wang Y, Zhang T, Yang Y, Qian H, Lu Y, Han F, Cao L, Yang N, Liu R, Yang X, Zhang J, Wu J, Zhang N. Pharmacogenomic profiling of intra-tumor heterogeneity using a large organoid biobank of liver cancer. Cancer Cell 2024; 42:535-551.e8. [PMID: 38593780 DOI: 10.1016/j.ccell.2024.03.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 12/27/2023] [Accepted: 03/11/2024] [Indexed: 04/11/2024]
Abstract
Inter- and intra-tumor heterogeneity is a major hurdle in primary liver cancer (PLC) precision therapy. Here, we establish a PLC biobank, consisting of 399 tumor organoids derived from 144 patients, which recapitulates histopathology and genomic landscape of parental tumors, and is reliable for drug sensitivity screening, as evidenced by both in vivo models and patient response. Integrative analysis dissects PLC heterogeneity, regarding genomic/transcriptomic characteristics and sensitivity to seven clinically relevant drugs, as well as clinical associations. Pharmacogenomic analysis identifies and validates multi-gene expression signatures predicting drug response for better patient stratification. Furthermore, we reveal c-Jun as a major mediator of lenvatinib resistance through JNK and β-catenin signaling. A compound (PKUF-01) comprising moieties of lenvatinib and veratramine (c-Jun inhibitor) is synthesized and screened, exhibiting a marked synergistic effect. Together, our study characterizes the landscape of PLC heterogeneity, develops predictive biomarker panels, and identifies a lenvatinib-resistant mechanism for combination therapy.
Collapse
Affiliation(s)
- Hui Yang
- Translational Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Jinghui Cheng
- Translational Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Hao Zhuang
- Department of Hepatobiliopancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Hongchuang Xu
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
| | - Yinuo Wang
- Translational Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Tingting Zhang
- Department of Hepatobiliopancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Yinmo Yang
- Department of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, Beijing, China
| | - Honggang Qian
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Hepato-Pancreato-Biliary Surgery, Peking University Cancer Hospital & Institute, Beijing, China
| | - Yinying Lu
- Comprehensive Liver Cancer Department, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Feng Han
- Department of Hepatobiliopancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Lihua Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, China; International Cancer Institute, Peking University Health Science Center, Beijing, China
| | - Nanmu Yang
- Department of Hepatobiliopancreatic Surgery, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China
| | - Rong Liu
- Translational Cancer Research Center, Peking University First Hospital, Beijing, China
| | - Xing Yang
- Department of Nuclear Medicine, Peking University First Hospital, Beijing, China
| | - Jiangong Zhang
- Department of Cancer Epidemiology, Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, China.
| | - Jianmin Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center for Cancer Bioinformatics, Peking University Cancer Hospital & Institute, Beijing, China; International Cancer Institute, Peking University Health Science Center, Beijing, China.
| | - Ning Zhang
- Translational Cancer Research Center, Peking University First Hospital, Beijing, China; International Cancer Institute, Peking University Health Science Center, Beijing, China; Yunnan Baiyao Group, Kunming, China.
| |
Collapse
|
62
|
Sali R, Jiang Y, Attaranzadeh A, Holmes B, Li R. Morphological diversity of cancer cells predicts prognosis across tumor types. J Natl Cancer Inst 2024; 116:555-564. [PMID: 37982756 PMCID: PMC10995848 DOI: 10.1093/jnci/djad243] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 10/23/2023] [Accepted: 11/13/2023] [Indexed: 11/21/2023] Open
Abstract
BACKGROUND Intratumor heterogeneity drives disease progression and treatment resistance, which can lead to poor patient outcomes. Here, we present a computational approach for quantification of cancer cell diversity in routine hematoxylin-eosin-stained histopathology images. METHODS We analyzed publicly available digitized whole-slide hematoxylin-eosin images for 2000 patients. Four tumor types were included: lung, head and neck, colon, and rectal cancers, representing major histology subtypes (adenocarcinomas and squamous cell carcinomas). We performed single-cell analysis on hematoxylin-eosin images and trained a deep convolutional autoencoder to automatically learn feature representations of individual cancer nuclei. We then computed features of intranuclear variability and internuclear diversity to quantify tumor heterogeneity. Finally, we used these features to build a machine-learning model to predict patient prognosis. RESULTS A total of 68 million cancer cells were segmented and analyzed for nuclear image features. We discovered multiple morphological subtypes of cancer cells (range = 15-20) that co-exist within the same tumor, each with distinct phenotypic characteristics. Moreover, we showed that a higher morphological diversity is associated with chromosome instability and genomic aneuploidy. A machine-learning model based on morphological diversity demonstrated independent prognostic values across tumor types (hazard ratio range = 1.62-3.23, P < .035) in validation cohorts and further improved prognostication when combined with clinical risk factors. CONCLUSIONS Our study provides a practical approach for quantifying intratumor heterogeneity based on routine histopathology images. The cancer cell diversity score can be used to refine risk stratification and inform personalized treatment strategies.
Collapse
Affiliation(s)
- Rasoul Sali
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yuming Jiang
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Armin Attaranzadeh
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Brittany Holmes
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ruijiang Li
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| |
Collapse
|
63
|
Denisenko E, de Kock L, Tan A, Beasley AB, Beilin M, Jones ME, Hou R, Muirí DÓ, Bilic S, Mohan GRKA, Salfinger S, Fox S, Hmon KPW, Yeow Y, Kim Y, John R, Gilderman TS, Killingbeck E, Gray ES, Cohen PA, Yu Y, Forrest ARR. Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones. Nat Commun 2024; 15:2860. [PMID: 38570491 PMCID: PMC10991508 DOI: 10.1038/s41467-024-47271-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 03/26/2024] [Indexed: 04/05/2024] Open
Abstract
High-grade serous ovarian carcinoma (HGSOC) is genetically unstable and characterised by the presence of subclones with distinct genotypes. Intratumoural heterogeneity is linked to recurrence, chemotherapy resistance, and poor prognosis. Here, we use spatial transcriptomics to identify HGSOC subclones and study their association with infiltrating cell populations. Visium spatial transcriptomics reveals multiple tumour subclones with different copy number alterations present within individual tumour sections. These subclones differentially express various ligands and receptors and are predicted to differentially associate with different stromal and immune cell populations. In one sample, CosMx single molecule imaging reveals subclones differentially associating with immune cell populations, fibroblasts, and endothelial cells. Cell-to-cell communication analysis identifies subclone-specific signalling to stromal and immune cells and multiple subclone-specific autocrine loops. Our study highlights the high degree of subclonal heterogeneity in HGSOC and suggests that subclone-specific ligand and receptor expression patterns likely modulate how HGSOC cells interact with their local microenvironment.
Collapse
Affiliation(s)
- Elena Denisenko
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia.
| | - Leanne de Kock
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia
- Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada
| | - Adeline Tan
- Anatomical Pathology Department, Clinipath, Sonic Healthcare, Perth, WA, 6017, Australia
| | - Aaron B Beasley
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, 6027, Australia
| | - Maria Beilin
- Department of Gynaecological Oncology, Bendat Family Comprehensive Cancer Centre, St John of God Subiaco Hospital, 12 Salvado Rd, Subiaco, WA, 6008, Australia
| | - Matthew E Jones
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia
| | - Rui Hou
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia
| | - Dáithí Ó Muirí
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia
| | - Sanela Bilic
- Department of Gynaecological Oncology, Bendat Family Comprehensive Cancer Centre, St John of God Subiaco Hospital, 12 Salvado Rd, Subiaco, WA, 6008, Australia
| | - G Raj K A Mohan
- Department of Gynaecological Oncology, Bendat Family Comprehensive Cancer Centre, St John of God Subiaco Hospital, 12 Salvado Rd, Subiaco, WA, 6008, Australia
- School of Medicine, University of Notre Dame, Fremantle, WA, 6160, Australia
| | | | - Simon Fox
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia
| | - Khaing P W Hmon
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia
| | - Yen Yeow
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia
| | | | - Rhea John
- NanoString Technologies, Seattle, WA, USA
| | | | | | - Elin S Gray
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, 6027, Australia
| | - Paul A Cohen
- Division of Obstetrics and Gynaecology, Medical School, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.
- Institute for Health Research, The University of Notre Dame Australia, 32 Mouat Street Fremantle, Fremantle, WA, 6160, Australia.
| | - Yu Yu
- Division of Obstetrics and Gynaecology, Medical School, University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia.
- Curtin Medical School, Curtin University, 410 Koorliny Way, Bentley, WA, 6102, Australia.
- Curtin Health Innovation Research Institute, Curtin University B305, Bentley, WA, 6102, Australia.
| | - Alistair R R Forrest
- Harry Perkins Institute of Medical Research, QEII Medical Centre and Centre for Medical Research, The University of Western Australia, Nedlands, Perth, WA, 6009, Australia.
| |
Collapse
|
64
|
Xiang Y, Liu J, Chen J, Xiao M, Pei H, Li L. MoS 2-Based Sensor Array for Accurate Identification of Cancer Cells with Ensemble-Modified Aptamers. ACS APPLIED MATERIALS & INTERFACES 2024; 16:15861-15869. [PMID: 38508220 DOI: 10.1021/acsami.3c19159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
In this work, we present an array-based chemical nose sensor that utilizes a set of ensemble-modified aptamer (EMAmer) probes to sense subtle physicochemical changes on the cell surface for cancer cell identification. The EMAmer probes are engineered by domain-selective incorporation of different types and/or copies of positively charged functional groups into DNA scaffolds, and their differential interactions with cancer cells can be transduced through competitive adsorption of fluorophore-labeled EMAmer probes loaded on MoS2 nanosheets. We demonstrate that this MoS2-EMAmer-based sensor array enables rapid and effective discrimination among six types of cancer cells and their mixtures with a concentration of 104 cells within 60 min, achieving a 94.4% accuracy in identifying blinded unknown cell samples. The established MoS2-EMAmer sensing platform is anticipated to show significant promise in the advancement of cancer diagnostics.
Collapse
Affiliation(s)
- Ying Xiang
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Jingjing Liu
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Jing Chen
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Mingshu Xiao
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Hao Pei
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| | - Li Li
- Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, Shanghai Frontiers Science Center of Genome Editing and Cell Therapy, East China Normal University, 500 Dongchuan Road, Shanghai 200241, P. R. China
| |
Collapse
|
65
|
Schinke C, Rasche L, Raab MS, Weinhold N. Impact of Clonal Heterogeneity in Multiple Myeloma. Hematol Oncol Clin North Am 2024; 38:461-476. [PMID: 38195308 DOI: 10.1016/j.hoc.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024]
Abstract
Multiple myeloma is characterized by a highly heterogeneous disease distribution within the bone marrow-containing skeletal system. In this review, we introduce the molecular mechanisms underlying clonal heterogeneity and the spatio-temporal evolution of myeloma. We discuss the clinical impact of clonal heterogeneity, which is thought to be one of the biggest obstacles to overcome therapy resistance and to achieve cure.
Collapse
Affiliation(s)
- Carolina Schinke
- Myeloma Center, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Leo Rasche
- Department of Internal Medicine 2, University Hospital of Würzburg, Würzburg, Germany; Mildred Scheel Early Career Center (MSNZ), University Hospital of Würzburg, Würzburg, Germany
| | - Marc S Raab
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, Heidelberg University Clinic Hospital, Heidelberg, Germany.
| |
Collapse
|
66
|
Roland CL, Nassif Haddad EF, Keung EZ, Wang WL, Lazar AJ, Lin H, Chelvanambi M, Parra ER, Wani K, Guadagnolo BA, Bishop AJ, Burton EM, Hunt KK, Torres KE, Feig BW, Scally CP, Lewis VO, Bird JE, Ratan R, Araujo D, Zarzour MA, Patel S, Benjamin R, Conley AP, Livingston JA, Ravi V, Tawbi HA, Lin PP, Moon BS, Satcher RL, Mujtaba B, Witt RG, Traweek RS, Cope B, Lazcano R, Wu CC, Zhou X, Mohammad MM, Chu RA, Zhang J, Damania A, Sahasrabhojane P, Tate T, Callahan K, Nguyen S, Ingram D, Morey R, Crosby S, Mathew G, Duncan S, Lima CF, Blay JY, Fridman WH, Shaw K, Wistuba I, Futreal A, Ajami N, Wargo JA, Somaiah N. A randomized, non-comparative phase 2 study of neoadjuvant immune-checkpoint blockade in retroperitoneal dedifferentiated liposarcoma and extremity/truncal undifferentiated pleomorphic sarcoma. NATURE CANCER 2024; 5:625-641. [PMID: 38351182 DOI: 10.1038/s43018-024-00726-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 01/10/2024] [Indexed: 04/30/2024]
Abstract
Based on the demonstrated clinical activity of immune-checkpoint blockade (ICB) in advanced dedifferentiated liposarcoma (DDLPS) and undifferentiated pleomorphic sarcoma (UPS), we conducted a randomized, non-comparative phase 2 trial ( NCT03307616 ) of neoadjuvant nivolumab or nivolumab/ipilimumab in patients with resectable retroperitoneal DDLPS (n = 17) and extremity/truncal UPS (+ concurrent nivolumab/radiation therapy; n = 10). The primary end point of pathologic response (percent hyalinization) was a median of 8.8% in DDLPS and 89% in UPS. Secondary end points were the changes in immune infiltrate, radiographic response, 12- and 24-month relapse-free survival and overall survival. Lower densities of regulatory T cells before treatment were associated with a major pathologic response (hyalinization > 30%). Tumor infiltration by B cells was increased following neoadjuvant treatment and was associated with overall survival in DDLPS. B cell infiltration was associated with higher densities of regulatory T cells before treatment, which was lost upon ICB treatment. Our data demonstrate that neoadjuvant ICB is associated with complex immune changes within the tumor microenvironment in DDLPS and UPS and that neoadjuvant ICB with concurrent radiotherapy has significant efficacy in UPS.
Collapse
Affiliation(s)
- Christina L Roland
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
| | - Elise F Nassif Haddad
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Centre Léon-Bérard, University Claude Bernard Lyon I, Lyon, France
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Emily Z Keung
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Wei-Lien Wang
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander J Lazar
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Heather Lin
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Manoj Chelvanambi
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Edwin R Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Khalida Wani
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - B Ashleigh Guadagnolo
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew J Bishop
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Elizabeth M Burton
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kelly K Hunt
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Keila E Torres
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Barry W Feig
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Christopher P Scally
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Valerae O Lewis
- Department of Orthopedic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Justin E Bird
- Department of Orthopedic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ravin Ratan
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Dejka Araujo
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - M Alexandra Zarzour
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shreyaskumar Patel
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert Benjamin
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anthony P Conley
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - J Andrew Livingston
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Vinod Ravi
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hussein A Tawbi
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Patrick P Lin
- Department of Orthopedic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bryan S Moon
- Department of Orthopedic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Robert L Satcher
- Department of Orthopedic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bilal Mujtaba
- Department of Musculoskeletal Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Russell G Witt
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Raymond S Traweek
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Brandon Cope
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rossana Lazcano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chia-Chin Wu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiao Zhou
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Mohammad M Mohammad
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Randy A Chu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianhua Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ashish Damania
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Pranoti Sahasrabhojane
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Taylor Tate
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kate Callahan
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sa Nguyen
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Davis Ingram
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rohini Morey
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Shadarra Crosby
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Grace Mathew
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sheila Duncan
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cibelle F Lima
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jean-Yves Blay
- Centre Léon-Bérard, University Claude Bernard Lyon I, Lyon, France
| | - Wolf Herman Fridman
- Centre de Recherche des Cordeliers, Inserm, Université Paris-Cité, Equipe Labellisée Ligue Contre le Cancer, Paris, France
| | - Kenna Shaw
- Institute for Personalized Cancer Therapy, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio Wistuba
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Nadim Ajami
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jennifer A Wargo
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Neeta Somaiah
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| |
Collapse
|
67
|
Gagliano T, Kerschbamer E, Baccarani U, Minisini M, Di Giorgio E, Dalla E, Weichenberger CX, Cherchi V, Terrosu G, Brancolini C. Changes in chromatin accessibility and transcriptional landscape induced by HDAC inhibitors in TP53 mutated patient-derived colon cancer organoids. Biomed Pharmacother 2024; 173:116374. [PMID: 38447451 DOI: 10.1016/j.biopha.2024.116374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/08/2024] Open
Abstract
Here we present the generation and characterization of patient-derived organoids (PDOs) from colorectal cancer patients. PDOs derived from two patients with TP53 mutations were tested with two different HDAC inhibitors (SAHA and NKL54). Cell death induction, transcriptome, and chromatin accessibility changes were analyzed. HDACIs promote the upregulation of low expressed genes and the downregulation of highly expressed genes. A similar differential effect is observed at the level of chromatin accessibility. Only SAHA is a potent inducer of cell death, which is characterized by the upregulation of BH3-only genes BIK and BMF. Up-regulation of BIK is associated with increased accessibility in an intronic region that has enhancer properties. SAHA, but not NKL54, also causes downregulation of BCL2L1 and decreases chromatin accessibility in three distinct regions of the BCL2L1 locus. Both inhibitors upregulate the expression of innate immunity genes and members of the MHC family. In summary, our exploratory study indicates a mechanism of action for SAHA and demonstrate the low efficacy of NKL54 as a single agent for apoptosis induction, using two PDOs. These observations need to be validated in a larger cohort of PDOs.
Collapse
Affiliation(s)
- Teresa Gagliano
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy
| | - Emanuela Kerschbamer
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy
| | - Umberto Baccarani
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy
| | - Martina Minisini
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy
| | - Eros Di Giorgio
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy
| | - Emiliano Dalla
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy
| | | | - Vittorio Cherchi
- General Surgery Clinic and Liver Transplant Center, University-Hospital of Udine, Udine, Italy
| | - Giovanni Terrosu
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy
| | - Claudio Brancolini
- Department of Medicine, Università degli Studi di Udine, Institute for Biomedicine, P.le Kolbe 4, Udine 33100, Italy.
| |
Collapse
|
68
|
Kubo T, Sunami K, Koyama T, Kitami M, Fujiwara Y, Kondo S, Yonemori K, Noguchi E, Morizane C, Goto Y, Maejima A, Iwasa S, Hamaguchi T, Kawai A, Namikawa K, Arakawa A, Sugiyama M, Ohno M, Yoshida T, Hiraoka N, Yoshida A, Yoshida M, Nishino T, Furukawa E, Narushima D, Nagai M, Kato M, Ichikawa H, Fujiwara Y, Kohno T, Yamamoto N. The impact of rare cancer and early-line treatments on the benefit of comprehensive genome profiling-based precision oncology. ESMO Open 2024; 9:102981. [PMID: 38613908 PMCID: PMC11033064 DOI: 10.1016/j.esmoop.2024.102981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 03/04/2024] [Accepted: 03/04/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Comprehensive genome profiling (CGP) serves as a guide for suitable genomically matched therapies for patients with cancer. However, little is known about the impact of the timing and types of cancer on the therapeutic benefit of CGP. MATERIALS AND METHODS A single hospital-based pan-cancer prospective study (TOP-GEAR; UMIN000011141) was conducted to examine the benefit of CGP with respect to the timing and types of cancer. Patients with advanced solid tumors (>30 types) who either progressed with or without standard treatments were genotyped using a single CGP test. The subjects were followed up for a median duration of 590 days to examine therapeutic response, using progression-free survival (PFS), PFS ratio, and factors associated with therapeutic response. RESULTS Among the 507 patients, 62 (12.2%) received matched therapies with an overall response rate (ORR) of 32.3%. The PFS ratios (≥1.3) were observed in 46.3% (19/41) of the evaluated patients. The proportion of subjects receiving such therapies in the rare cancer cohort was lower than that in the non-rare cancer cohort (9.6% and 17.4%, respectively; P = 0.010). However, ORR of the rare cancer patients was higher than that in the non-rare cancer cohort (43.8% and 20.0%, respectively; P = 0.046). Moreover, ORR of matched therapies in the first or second line after receiving the CGP test was higher than that in the third or later lines (62.5% and 21.7%, respectively; P = 0.003). Rare cancer and early-line treatment were significantly and independently associated with ORR of matched therapies in multivariable analysis (P = 0.017 and 0.004, respectively). CONCLUSION Patients with rare cancer preferentially benefited from tumor mutation profiling by increasing the chances of therapeutic response to matched therapies. Early-line treatments after profiling increase the therapeutic benefit, irrespective of tumor types.
Collapse
Affiliation(s)
- T Kubo
- Department of Laboratory Medicine, National Cancer Center Hospital, Tokyo; Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo
| | - K Sunami
- Department of Laboratory Medicine, National Cancer Center Hospital, Tokyo; Division of Genome Biology, National Cancer Center Research Institute, Tokyo
| | - T Koyama
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo
| | - M Kitami
- Department of Laboratory Medicine, National Cancer Center Hospital, Tokyo
| | - Y Fujiwara
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo; Department of Thoracic Oncology, Aichi Cancer Center Hospital, Aichi
| | - S Kondo
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo; Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo
| | - K Yonemori
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo; Department of Medical Oncology, National Cancer Center Hospital, Tokyo
| | - E Noguchi
- Department of Medical Oncology, National Cancer Center Hospital, Tokyo
| | - C Morizane
- Department of Hepatobiliary and Pancreatic Oncology, National Cancer Center Hospital, Tokyo
| | - Y Goto
- Department of Thoracic Oncology, National Cancer Center Hospital, Tokyo
| | - A Maejima
- Department of Medical Oncology, National Cancer Center Hospital, Tokyo; Department of Urology, National Cancer Center Hospital, Tokyo
| | - S Iwasa
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo; Department of Gastrointestinal Medical Oncology, National Cancer Center Hospital, Tokyo
| | - T Hamaguchi
- Department of Medical Oncology, Saitama Medical University International Medical Center, Saitama
| | - A Kawai
- Department of Musculoskeletal Oncology and Rehabilitation, National Cancer Center Hospital, Tokyo
| | - K Namikawa
- Department of Dermatologic Oncology, National Cancer Center Hospital, Tokyo
| | - A Arakawa
- Department of Pediatric Oncology, National Cancer Center Hospital, Tokyo
| | - M Sugiyama
- Department of Pediatric Oncology, National Cancer Center Hospital, Tokyo
| | - M Ohno
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo
| | - T Yoshida
- Department of Genetic Services and Medicine, National Cancer Center Hospital, Tokyo
| | - N Hiraoka
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo
| | - A Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo
| | - M Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo
| | - T Nishino
- Department of Laboratory Medicine, National Cancer Center Hospital, Tokyo
| | - E Furukawa
- Division of Bioinformatics, National Cancer Center Research Institute, Tokyo
| | - D Narushima
- Division of Bioinformatics, National Cancer Center Research Institute, Tokyo
| | - M Nagai
- Division of Bioinformatics, National Cancer Center Research Institute, Tokyo
| | - M Kato
- Division of Bioinformatics, National Cancer Center Research Institute, Tokyo
| | - H Ichikawa
- Department of Clinical Genomics, National Cancer Center Research Institute, Tokyo; Division of Translational Genomics, National Cancer Center Exploratory Oncology Research & Clinical Trial Center, Tokyo, Japan
| | - Y Fujiwara
- Department of Medical Oncology, National Cancer Center Hospital, Tokyo
| | - T Kohno
- Division of Genome Biology, National Cancer Center Research Institute, Tokyo; Division of Translational Genomics, National Cancer Center Exploratory Oncology Research & Clinical Trial Center, Tokyo, Japan
| | - N Yamamoto
- Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo.
| |
Collapse
|
69
|
Kim D, Kim S, Song H, Gwak D, Min S, Byun JM, Koh Y, Hong J, Yoon S, Yun H, Shin D. Pursuing dynamics of minimal residual leukemic subclones in relapsed and refractory acute myeloid leukemia during conventional therapy. Cancer Med 2024; 13:e7182. [PMID: 38591109 PMCID: PMC11002636 DOI: 10.1002/cam4.7182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 02/23/2024] [Accepted: 03/29/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Acute myeloid leukemia (AML) is characterized by clonal heterogeneity, leading to frequent relapses and drug resistance despite intensive clinical therapy. Although AML's clonal architecture has been addressed in many studies, practical monitoring of dynamic changes in those subclones during relapse and treatment is still understudied. METHOD Fifteen longitudinal bone marrow (BM) samples were collected from three relapsed and refractory (R/R) AML patients. Using droplet digital polymerase chain reaction (ddPCR), the frequencies of patient's leukemic variants were assessed in seven cell populations that were isolated from each BM sample based on cellular phenotypes. By quantifying mutant clones at the diagnosis, remission, and relapse stages, the distribution of AML subclones was sequentially monitored. RESULTS Minimal residual (MR) leukemic subclones exhibit heterogeneous distribution among BM cell populations, including mature leukocyte populations. During AML progression, these subclones undergo active phenotypic transitions and repopulate into distinct cell population regardless of normal hematopoiesis hierarchic order. Of these, MR subclones in progenitor populations of patient BM predominantly carry MR leukemic properties, leading to more robust expansion and stubborn persistence than those in mature populations. Moreover, a minor subset of MR leukemic subclones could be sustained at an extremely low frequency without clonal expansion during relapse. CONCLUSIONS In this study, we observed treatment persistent MR leukemic subclones and their phenotypic changes during the treatment process of R/R AML patients. This underscores the importance of preemptive inhibition of clonal promiscuity in R/R AML, proposing a practical method for monitoring AML MR subclones.
Collapse
Affiliation(s)
- Dongchan Kim
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
| | - Sheehyun Kim
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Center for Precision MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Hyojin Song
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Center for Precision MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Daehyeon Gwak
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
| | - Suji Min
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
| | - Ja Min Byun
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Youngil Koh
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Junshik Hong
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Sung‐Soo Yoon
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Hongseok Yun
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Center for Precision MedicineSeoul National University HospitalSeoulRepublic of Korea
| | - Dong‐Yeop Shin
- Cancer Research InstituteSeoul National University College of MedicineSeoulRepublic of Korea
- Center for Medical InnovationSeoul National University HospitalSeoulRepublic of Korea
- Department of Internal MedicineSeoul National University HospitalSeoulRepublic of Korea
| |
Collapse
|
70
|
Chang X, Zhu Z, Weng L, Tang X, Liu T, Zhu M, Liu J, Tang W, Zhang Y, Chen X. Selective Manipulation of the Mitochondria Oxidative Stress in Different Cells Using Intelligent Mesoporous Silica Nanoparticles to Activate On-Demand Immunotherapy for Cancer Treatment. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2307310. [PMID: 38039438 DOI: 10.1002/smll.202307310] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 11/03/2023] [Indexed: 12/03/2023]
Abstract
Herein, the vitamin K2 (VK2)/maleimide (MA) coloaded mesoporous silica nanoparticles (MSNs), functional molecules including folic acid (FA)/triphenylphosphine (TPP)/tetrapotassium hexacyanoferrate trihydrate (THT), as well as CaCO3 are explored to fabricate a core-shell-corona nanoparticle (VMMFTTC) for on-demand anti-tumor immunotherapy. After application, the tumor-specific acidic environment first decomposed CaCO3 corona, which significantly levitates the pH value of tumor tissue to convert M2 type macrophage to the antitumor M1 type. The resulting VMMFTT would then internalize in both tumor cells and macrophages via FA-assisted endocytosis and free endocytosis, respectively. These distinct processes generate different amount of VMMFTT in above two cells followed by 1) TPP-induced accumulation in the mitochondria, 2) THT-mediated effective capture of various signal ions to cut off signal transmission and further inhibit glutathione (GSH) generation, 3) ions catalyzed reactive oxygen species (ROS) production through Fenton reaction, 4) sustained release of VK2 and MA to further enhance the ROS production and GSH depletion, which caused significant apoptosis of tumor cells and additional M2-to-M1 macrophage polarization via different processes of oxidative stress. Moreover, the primary tumor apoptosis further matures surrounding immature dendritic cells and activates T cells to continuously promote the antitumor immunotherapy.
Collapse
Affiliation(s)
- Xiaowei Chang
- Department of Chemical Engineering, Shaanxi Key Laboratory of Energy Chemical Process Intensification, Institute of Polymer Science in Chemical Engineering, School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Zeren Zhu
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, P. R. China
| | - Lin Weng
- Department of Chemical Engineering, Shaanxi Key Laboratory of Energy Chemical Process Intensification, Institute of Polymer Science in Chemical Engineering, School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Xiaoyu Tang
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, P. R. China
| | - Tao Liu
- Department of Chemical Engineering, Shaanxi Key Laboratory of Energy Chemical Process Intensification, Institute of Polymer Science in Chemical Engineering, School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
- National & Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710004, P. R. China
| | - Man Zhu
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, P. R. China
| | - Jie Liu
- Department of Chemical Engineering, Shaanxi Key Laboratory of Energy Chemical Process Intensification, Institute of Polymer Science in Chemical Engineering, School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| | - Wenjun Tang
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, P. R. China
| | - Yanmin Zhang
- School of Pharmacy, Health Science Center, Xi'an Jiaotong University, Xi'an, 710061, P. R. China
| | - Xin Chen
- Department of Chemical Engineering, Shaanxi Key Laboratory of Energy Chemical Process Intensification, Institute of Polymer Science in Chemical Engineering, School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, 710049, P. R. China
| |
Collapse
|
71
|
Li N, Zhang Y, Han M, Liu T, Wu J, Xiong Y, Fan Y, Ye F, Jin B, Zhang Y, Sun G, Sun X, Dong Z. Self-adjuvant Astragalus polysaccharide-based nanovaccines for enhanced tumor immunotherapy: a novel delivery system candidate for tumor vaccines. SCIENCE CHINA. LIFE SCIENCES 2024; 67:680-697. [PMID: 38206438 DOI: 10.1007/s11427-023-2465-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Accepted: 10/11/2023] [Indexed: 01/12/2024]
Abstract
The study of tumor nanovaccines (NVs) has gained interest because they specifically recognize and eliminate tumor cells. However, the poor recognition and internalization by dendritic cells (DCs) and insufficient immunogenicity restricted the vaccine efficacy. Herein, we extracted two molecular-weight Astragalus polysaccharides (APS, 12.19 kD; APSHMw, 135.67 kD) from Radix Astragali and made them self-assemble with OVA257-264 directly forming OVA/APS integrated nanocomplexes through the microfluidic method. The nanocomplexes were wrapped with a sheddable calcium phosphate layer to improve stability. APS in the formed nanocomplexes served as drug carriers and immune adjuvants for potent tumor immunotherapy. The optimal APS-NVs were approximately 160 nm with uniform size distribution and could remain stable in physiological saline solution. The FITC-OVA in APS-NVs could be effectively taken up by DCs, and APS-NVs could stimulate the maturation of DCs, improving the antigen cross-presentation efficiency in vitro. The possible mechanism was that APS can induce DC activation via multiple receptors such as dectin-1 and Toll-like receptors 2 and 4. Enhanced accumulation of APS-NVs both in draining and distal lymph nodes were observed following s.c. injection. Smaller APS-NVs could easily access the lymph nodes. Furthermore, APS-NVs could markedly promote antigen delivery efficiency to DCs and activate cytotoxic T cells. In addition, APS-NVs achieve a better antitumor effect in established B16-OVA melanoma tumors compared with the OVA+Alum treatment group. The antitumor mechanism correlated with the increase in cytotoxic T cells in the tumor region. Subsequently, the poor tumor inhibitory effect of APS-NVs on the nude mouse model of melanoma also confirmed the participation of antitumor adaptive immune response induced by NVs. Therefore, this study developed a promising APS-based tumor NV that is an efficient tumor immunotherapy without systemic side effects.
Collapse
Affiliation(s)
- Nan Li
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS), Institute of Medicinal Plant Development (IMPLAD), Beijing, 100193, China
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China
| | - Yun Zhang
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS), Institute of Medicinal Plant Development (IMPLAD), Beijing, 100193, China
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China
- Jilin Academy of Chinese Medicine Sciences, Changchun, 130012, China
| | - Miaomiao Han
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Heilongjiang University of Chinese Medicine, Harbin, 150036, China
| | - Tian Liu
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS), Institute of Medicinal Plant Development (IMPLAD), Beijing, 100193, China
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China
| | - Jinjia Wu
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Heilongjiang University of Chinese Medicine, Harbin, 150036, China
| | - Yingxia Xiong
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Heilongjiang University of Chinese Medicine, Harbin, 150036, China
| | - Yikai Fan
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China
| | - Fan Ye
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China
| | - Bing Jin
- Department of Pharmaceutics, School of Pharmaceutical Sciences, Heilongjiang University of Chinese Medicine, Harbin, 150036, China
| | - Yinghua Zhang
- Jilin Academy of Chinese Medicine Sciences, Changchun, 130012, China
| | - Guibo Sun
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China
| | - Xiaobo Sun
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS), Institute of Medicinal Plant Development (IMPLAD), Beijing, 100193, China.
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China.
- Joint Research Center for Chinese Medicinal Herbs, IMPLAD, ABRC & ACCL, Beijing, 100193, China.
| | - Zhengqi Dong
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS), Institute of Medicinal Plant Development (IMPLAD), Beijing, 100193, China.
- Key Laboratory of Bioactive Substances and Resources Utilization of Chinese Herbal Medicine from Ministry of Education, Beijing Key Laboratory of Innovative Drug Discovery of Traditional Chinese Medicine (Natural Medicine) and Translational Medicine, Key Laboratory of New Drug Discovery Based on Classic Chinese Medicine Prescription from Chinese Academy of Medical Sciences, CAMS, IMPLAD, Beijing, 100193, China.
- Joint Research Center for Chinese Medicinal Herbs, IMPLAD, ABRC & ACCL, Beijing, 100193, China.
| |
Collapse
|
72
|
Sadeghirad H, Yaghoubi Naei V, O'Byrne K, Warkiani ME, Kulasinghe A. In situ characterization of the tumor microenvironment. Curr Opin Biotechnol 2024; 86:103083. [PMID: 38382325 DOI: 10.1016/j.copbio.2024.103083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 12/07/2023] [Accepted: 01/30/2024] [Indexed: 02/23/2024]
Abstract
The development of new therapies for cancer is underpinned by an increasing need to comprehensively characterize the tumor microenvironment (TME). While traditional approaches have relied on bulk or single-cell approaches, these are limited in their ability to provide cellular context. Deconvolution of the complex TME is fundamental to understanding tumor dynamics and treatment resistance. Spatially resolved characterization of the TME is likely to provide greater insights into the cellular architecture, tumor-immune cell interactions, receptor-ligand interactions, and cell niches. In turn, these aid in dictating the optimal way in which to target each patient's individual cancer. In this review, we discuss a number of cutting-edge in situ spatial profiling methods giving us new insights into tumor biology.
Collapse
Affiliation(s)
- Habib Sadeghirad
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia
| | - Vahid Yaghoubi Naei
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia; School of Biomedical Engineering, University of Technology Sydney, NSW, Australia
| | - Ken O'Byrne
- Princess Alexandra Hospital, Woolloongabba, QLD, Australia
| | - Majid E Warkiani
- School of Biomedical Engineering, University of Technology Sydney, NSW, Australia
| | - Arutha Kulasinghe
- Frazer Institute, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
| |
Collapse
|
73
|
Zhu Y, Ma Y, Zhai Z, Liu A, Wang Y, Zhang Y, Li H, Zhao M, Han P, Yin L, He N, Wu Y, Sechopoulos I, Ye Z, Caballo M. Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study. Eur Radiol 2024; 34:2576-2589. [PMID: 37782338 DOI: 10.1007/s00330-023-10256-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 07/09/2023] [Accepted: 07/30/2023] [Indexed: 10/03/2023]
Abstract
OBJECTIVES To develop a radiomics model in contrast-enhanced cone-beam breast CT (CE-CBBCT) for preoperative prediction of axillary lymph node (ALN) status and metastatic burden of breast cancer. METHODS Two hundred and seventy-four patients who underwent CE-CBBCT examination with two scanners between 2012 and 2021 from two institutions were enrolled. The primary tumor was annotated in each patient image, from which 1781 radiomics features were extracted with PyRadiomics. After feature selection, support vector machine models were developed to predict ALN status and metastatic burden. To avoid overfitting on a specific patient subset, 100 randomly stratified splits were made to assign the patients to either training/fine-tuning or test set. Area under the receiver operating characteristic curve (AUC) of these radiomics models was compared to those obtained when training the models only with clinical features and combined clinical-radiomics descriptors. Ground truth was established by histopathology. RESULTS One hundred and eighteen patients had ALN metastasis (N + (≥ 1)). Of these, 74 had low burden (N + (1~2)) and 44 high burden (N + (≥ 3)). The remaining 156 patients had none (N0). AUC values across the 100 test repeats in predicting ALN status (N0/N + (≥ 1)) were 0.75 ± 0.05 (0.67~0.93, radiomics model), 0.68 ± 0.07 (0.53~0.85, clinical model), and 0.74 ± 0.05 (0.67~0.88, combined model). For metastatic burden prediction (N + (1~2)/N + (≥ 3)), AUC values were 0.65 ± 0.10 (0.50~0.88, radiomics model), 0.55 ± 0.10 (0.40~0.80, clinical model), and 0.64 ± 0.09 (0.50~0.90, combined model), with all the ranges spanning 0.5. In both cases, the radiomics model was significantly better than the clinical model (both p < 0.01) and comparable with the combined model (p = 0.56 and 0.64). CONCLUSIONS Radiomics features of primary tumors could have potential in predicting ALN metastasis in CE-CBBCT imaging. CLINICAL RELEVANCE STATEMENT The findings support potential clinical use of radiomics for predicting axillary lymph node metastasis in breast cancer patients and addressing the limited axilla coverage of cone-beam breast CT. KEY POINTS • Contrast-enhanced cone-beam breast CT-based radiomics could have potential to predict N0 vs. N + (≥ 1) and, to a limited extent, N + (1~2) vs. N + (≥ 3) from primary tumor, and this could help address the limited axilla coverage, pending future verifications on larger cohorts. • The average AUC of radiomics and combined models was significantly higher than that of clinical models but showed no significant difference between themselves. • Radiomics features descriptive of tumor texture were found informative on axillary lymph node status, highlighting a higher heterogeneity for tumor with positive axillary lymph node.
Collapse
Affiliation(s)
- Yueqiang Zhu
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
- Department of Medical Imaging, Radboud University Medical Center, PO Box 9101, Nijmegen, 6500 HB, The Netherlands
| | - Yue Ma
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Zhenzhen Zhai
- Department of Radiology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Mei-Hua-Dong Road, Xiangzhou District, Zhuhai, 519000, China
| | - Aidi Liu
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Yafei Wang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Yuwei Zhang
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Haijie Li
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Mengran Zhao
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Peng Han
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Lu Yin
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China
| | - Ni He
- Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Dong-Feng-Dong Road, Yuexiu District, Guangzhou, 510060, China
| | - Yaopan Wu
- Department of Medical Imaging and Image-guided Therapy, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Dong-Feng-Dong Road, Yuexiu District, Guangzhou, 510060, China
| | - Ioannis Sechopoulos
- Department of Medical Imaging, Radboud University Medical Center, PO Box 9101, Nijmegen, 6500 HB, The Netherlands
- Dutch Expert Center for Screening (LRCB), PO Box 6873, Nijmegen, 6503 GJ, The Netherlands
- Technical Medicine Centre, University of Twente, PO Box 217, Enschede, 7500 AE, The Netherlands
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital; National Clinical Research Center for Cancer; Tianjin's Clinical Research Center for Cancer; Key Laboratory of Cancer Prevention and Therapy, Tianjin; Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Huan-Hu-Xi Road, Ti-Yuan-Bei, Hexi District, Tianjin, 300060, China.
| | - Marco Caballo
- Department of Medical Imaging, Radboud University Medical Center, PO Box 9101, Nijmegen, 6500 HB, The Netherlands
| |
Collapse
|
74
|
Xie X, Li D, Pei Y, Zhu W, Du X, Jiang X, Zhang L, Wang HQ. Personalized anti-tumor drug efficacy prediction based on clinical data. Heliyon 2024; 10:e27300. [PMID: 38500995 PMCID: PMC10945121 DOI: 10.1016/j.heliyon.2024.e27300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/20/2024] Open
Abstract
Anti-tumor drug efficacy prediction poses an unprecedented challenge to realizing personalized medicine. This paper proposes to predict personalized anti-tumor drug efficacy based on clinical data. Specifically, we encode the clinical text as numeric vectors featured with hidden topics for patients using Latent Dirichlet Allocation model. Then, to classify patients into two classes, responsive or non-responsive to a drug, drug efficacy predictors are established by machine learning based on the Latent Dirichlet Allocation topic representation. To evaluate the proposed method, we collected and collated clinical records of lung and bowel cancer patients treated with platinum. Experimental results on the data sets show the efficacy and effectiveness of the proposed method, suggesting the potential value of clinical data in cancer precision medicine. We hope that it will promote the research of drug efficacy prediction based on clinical data.
Collapse
Affiliation(s)
- Xinping Xie
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China
| | - Dandan Li
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China
| | - Yangyang Pei
- School of Mathematics and Physics, Anhui Jianzhu University, Hefei, China
| | - Weiwei Zhu
- Institute of Intelligent Machines/Zhongqi AI Lab., Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
| | - Xiaodong Du
- Experimental Teaching Center, Hefei University, Hefei, China
| | - Xiaodong Jiang
- Medical Oncology Department, The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Lei Zhang
- Pharmacy Department, The First Affiliated Hospital of University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Hong-Qiang Wang
- Institute of Intelligent Machines/Zhongqi AI Lab., Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
| |
Collapse
|
75
|
Liu F, Shi F, Du F, Cao X, Yu Z. CoT: a transformer-based method for inferring tumor clonal copy number substructure from scDNA-seq data. Brief Bioinform 2024; 25:bbae187. [PMID: 38670159 PMCID: PMC11052634 DOI: 10.1093/bib/bbae187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 03/08/2024] [Accepted: 04/16/2024] [Indexed: 04/28/2024] Open
Abstract
Single-cell DNA sequencing (scDNA-seq) has been an effective means to unscramble intra-tumor heterogeneity, while joint inference of tumor clones and their respective copy number profiles remains a challenging task due to the noisy nature of scDNA-seq data. We introduce a new bioinformatics method called CoT for deciphering clonal copy number substructure. The backbone of CoT is a Copy number Transformer autoencoder that leverages multi-head attention mechanism to explore correlations between different genomic regions, and thus capture global features to create latent embeddings for the cells. CoT makes it convenient to first infer cell subpopulations based on the learned embeddings, and then estimate single-cell copy numbers through joint analysis of read counts data for the cells belonging to the same cluster. This exploitation of clonal substructure information in copy number analysis helps to alleviate the effect of read counts non-uniformity, and yield robust estimations of the tumor copy numbers. Performance evaluation on synthetic and real datasets showcases that CoT outperforms the state of the arts, and is highly useful for deciphering clonal copy number substructure.
Collapse
Affiliation(s)
- Furui Liu
- School of Information Engineering, Ningxia University, 750021, Ningxia, China
| | - Fangyuan Shi
- School of Information Engineering, Ningxia University, 750021, Ningxia, China
- Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Ningxia University, 750021, Ningxia, China
| | - Fang Du
- School of Information Engineering, Ningxia University, 750021, Ningxia, China
- Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Ningxia University, 750021, Ningxia, China
| | - Xiangmei Cao
- Basic Medical School, Ningxia Medical University, 750001, Ningxia, China
| | - Zhenhua Yu
- School of Information Engineering, Ningxia University, 750021, Ningxia, China
- Collaborative Innovation Center for Ningxia Big Data and Artificial Intelligence Co-founded by Ningxia Municipality and Ministry of Education, Ningxia University, 750021, Ningxia, China
| |
Collapse
|
76
|
Schaff DL, Fasse AJ, White PE, Vander Velde RJ, Shaffer SM. Clonal differences underlie variable responses to sequential and prolonged treatment. Cell Syst 2024; 15:213-226.e9. [PMID: 38401539 PMCID: PMC11003565 DOI: 10.1016/j.cels.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 11/14/2023] [Accepted: 01/29/2024] [Indexed: 02/26/2024]
Abstract
Cancer cells exhibit dramatic differences in gene expression at the single-cell level, which can predict whether they become resistant to treatment. Treatment perpetuates this heterogeneity, resulting in a diversity of cell states among resistant clones. However, it remains unclear whether these differences lead to distinct responses when another treatment is applied or the same treatment is continued. In this study, we combined single-cell RNA sequencing with barcoding to track resistant clones through prolonged and sequential treatments. We found that cells within the same clone have similar gene expression states after multiple rounds of treatment. Moreover, we demonstrated that individual clones have distinct and differing fates, including growth, survival, or death, when subjected to a second treatment or when the first treatment is continued. By identifying gene expression states that predict clone survival, this work provides a foundation for selecting optimal therapies that target the most aggressive resistant clones within a tumor. A record of this paper's transparent peer review process is included in the supplemental information.
Collapse
Affiliation(s)
- Dylan L Schaff
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA
| | - Aria J Fasse
- Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA
| | - Phoebe E White
- Department of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA
| | - Robert J Vander Velde
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19146, USA
| | - Sydney M Shaffer
- Department of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA 19146, USA; Department of Pathology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19146, USA.
| |
Collapse
|
77
|
Lacy MS, Jenner AL. Impact of Resistance on Therapeutic Design: A Moran Model of Cancer Growth. Bull Math Biol 2024; 86:43. [PMID: 38502371 PMCID: PMC10950993 DOI: 10.1007/s11538-024-01272-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 02/19/2024] [Indexed: 03/21/2024]
Abstract
Resistance of cancers to treatments, such as chemotherapy, largely arise due to cell mutations. These mutations allow cells to resist apoptosis and inevitably lead to recurrence and often progression to more aggressive cancer forms. Sustained-low dose therapies are being considered as an alternative over maximum tolerated dose treatments, whereby a smaller drug dosage is given over a longer period of time. However, understanding the impact that the presence of treatment-resistant clones may have on these new treatment modalities is crucial to validating them as a therapeutic avenue. In this study, a Moran process is used to capture stochastic mutations arising in cancer cells, inferring treatment resistance. The model is used to predict the probability of cancer recurrence given varying treatment modalities. The simulations predict that sustained-low dose therapies would be virtually ineffective for a cancer with a non-negligible probability of developing a sub-clone with resistance tendencies. Furthermore, calibrating the model to in vivo measurements for breast cancer treatment with Herceptin, the model suggests that standard treatment regimens are ineffective in this mouse model. Using a simple Moran model, it is possible to explore the likelihood of treatment success given a non-negligible probability of treatment resistant mutations and suggest more robust therapeutic schedules.
Collapse
Affiliation(s)
- Mason S Lacy
- School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Adrianne L Jenner
- School of Mathematical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
| |
Collapse
|
78
|
Weideman AMK, Wang R, Ibrahim JG, Jiang Y. Canopy2: tumor phylogeny inference by bulk DNA and single-cell RNA sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.18.585595. [PMID: 38562795 PMCID: PMC10983938 DOI: 10.1101/2024.03.18.585595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Tumors are comprised of a mixture of distinct cell populations that differ in terms of genetic makeup and function. Such heterogeneity plays a role in the development of drug resistance and the ineffectiveness of targeted cancer therapies. Insight into this complexity can be obtained through the construction of a phylogenetic tree, which illustrates the evolutionary lineage of tumor cells as they acquire mutations over time. We propose Canopy2, a Bayesian framework that uses single nucleotide variants derived from bulk DNA and single-cell RNA sequencing to infer tumor phylogeny and conduct mutational profiling of tumor subpopulations. Canopy2 uses Markov chain Monte Carlo methods to sample from a joint probability distribution involving a mixture of binomial and beta-binomial distributions, specifically chosen to account for the sparsity and stochasticity of the single-cell data. Canopy2 demystifies the sources of zeros in the single-cell data and separates zeros categorized as non-cancerous (cells without mutations), stochastic (mutations not expressed due to bursting), and technical (expressed mutations not picked up by sequencing). Simulations demonstrate that Canopy2 consistently outperforms competing methods and reconstructs the clonal tree with high fidelity, even in situations involving low sequencing depth, poor single-cell yield, and highly-advanced and polyclonal tumors. We further assess the performance of Canopy2 through application to breast cancer and glioblastoma data, benchmarking against existing methods. Canopy2 is an open-source R package available at https://github.com/annweideman/canopy2.
Collapse
Affiliation(s)
- Ann Marie K. Weideman
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Rujin Wang
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Joseph G. Ibrahim
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Yuchao Jiang
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| |
Collapse
|
79
|
Nejo T, Wang L, Leung KK, Wang A, Lakshmanachetty S, Gallus M, Kwok DW, Hong C, Chen LH, Carrera DA, Zhang MY, Stevers NO, Maldonado GC, Yamamichi A, Watchmaker PB, Naik A, Shai A, Phillips JJ, Chang SM, Wiita AP, Wells JA, Costello JF, Diaz AA, Okada H. Challenges in the discovery of tumor-specific alternative splicing-derived cell-surface antigens in glioma. Sci Rep 2024; 14:6362. [PMID: 38493204 PMCID: PMC10944514 DOI: 10.1038/s41598-024-56684-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 03/09/2024] [Indexed: 03/18/2024] Open
Abstract
Despite advancements in cancer immunotherapy, solid tumors remain formidable challenges. In glioma, profound inter- and intra-tumoral heterogeneity of antigen landscape hampers therapeutic development. Therefore, it is critical to consider alternative sources to expand the repertoire of targetable (neo-)antigens and improve therapeutic outcomes. Accumulating evidence suggests that tumor-specific alternative splicing (AS) could be an untapped reservoir of antigens. In this study, we investigated tumor-specific AS events in glioma, focusing on those predicted to generate major histocompatibility complex (MHC)-presentation-independent, cell-surface antigens that could be targeted by antibodies and chimeric antigen receptor-T cells. We systematically analyzed bulk RNA-sequencing datasets comparing 429 tumor samples (from The Cancer Genome Atlas) and 9166 normal tissue samples (from the Genotype-Tissue Expression project), and identified 13 AS events in 7 genes predicted to be expressed in more than 10% of the patients, including PTPRZ1 and BCAN, which were corroborated by an external RNA-sequencing dataset. Subsequently, we validated our predictions and elucidated the complexity of the isoforms using full-length transcript amplicon sequencing on patient-derived glioblastoma cells. However, analyses of the RNA-sequencing datasets of spatially mapped and longitudinally collected clinical tumor samples unveiled remarkable spatiotemporal heterogeneity of the candidate AS events. Furthermore, proteomics analysis did not reveal any peptide spectra matching the putative antigens. Our investigation illustrated the diverse characteristics of the tumor-specific AS events and the challenges of antigen exploration due to their notable spatiotemporal heterogeneity and elusive nature at the protein levels. Redirecting future efforts toward intracellular, MHC-presented antigens could offer a more viable avenue.
Collapse
Affiliation(s)
- Takahide Nejo
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Lin Wang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Kevin K Leung
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
| | - Albert Wang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Senthilnath Lakshmanachetty
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Marco Gallus
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Darwin W Kwok
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Chibo Hong
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Lee H Chen
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Diego A Carrera
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Michael Y Zhang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Nicholas O Stevers
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Gabriella C Maldonado
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Akane Yamamichi
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Payal B Watchmaker
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Akul Naik
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Anny Shai
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
| | - Joanna J Phillips
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Pathology, University of California, San Francisco, San Francisco, CA, USA
| | - Susan M Chang
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Arun P Wiita
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Chan Zuckerberg Biohub, San Francisco, CA, USA
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - James A Wells
- Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA
| | - Joseph F Costello
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Aaron A Diaz
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
| | - Hideho Okada
- Department of Neurological Surgery, University of California, San Francisco (UCSF), 1450 3Rd Street, Box 0520, San Francisco, CA, 94158, USA.
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
| |
Collapse
|
80
|
Che WQ, Wang YJ, Yang L, Wang HQ, Wang XY, Lyu J. Single-cell transcriptome analysis upon ECM-remodeling meningioma cells. Neurosurg Rev 2024; 47:118. [PMID: 38491247 DOI: 10.1007/s10143-024-02349-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 12/25/2023] [Accepted: 03/05/2024] [Indexed: 03/18/2024]
Abstract
Meningiomas are the most common tumours that primarily arise in the central nervous system, but their intratumoural heterogeneity has not yet been thoroughly studied. We aimed to investigate the transcriptome characteristics and biological properties of ECM-remodeling meningioma cells. Single-cell RNA sequencing (ScRNA-seq) data from meningioma samples were acquired and used for analyses. We conducted comprehensive bioinformatics analyses, including screening for differentially expressed genes (DEGs), Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway and Gene Ontology (GO) term enrichment analyses, Gene Set Enrichment Analysis (GSEA), protein-protein interaction (PPI) analysis, and copy number variation (CNV) analysis on single-cell sequencing data from meningiomas. Eighteen cell types, including six meningioma subtypes, were identified in the data. ECM-remodeling meningioma cells (MGCs) were mainly distributed in brain-tumour interface tissues. KEGG and GO enrichment analyses revealed that 908 DEGs were mainly related to cell adhesion, extracellular matrix organization, and ECM-receptor interaction. GSEA analysis demonstrated that homophilic cell adhesion via plasma membrane adhesion molecules was significantly enriched (NES = 2.375, P < 0.001). CNV analysis suggested that ECM-remodeling MGCs showed considerably lower average CNV scores. ECM-remodeling MGCs predominantly localized at the brain-tumour interface area and adhere stably to the basement membrane with a lower degree of malignancy. This study provides novel insights into the malignancy of meningiomas.
Collapse
Affiliation(s)
- Wen-Qiang Che
- Department of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Yu-Jiao Wang
- Department of Pathology, Shanxi Provincial People's Hospital, Taiyuan, 030012, China
| | - Liu Yang
- Department of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Hong-Qin Wang
- Department of Neurosurgery, The First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Xiang-Yu Wang
- Department of Neurosurgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
| | - Jun Lyu
- Department of Clinical Research, the First Affiliated Hospital of Jinan University, Guangzhou, 510632, China.
- Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization, Guangzhou, 510632, China.
| |
Collapse
|
81
|
Dai YW, Pan YT, Lin DF, Chen XH, Zhou X, Wang WM. Bulk anda single-cell transcriptome profiling reveals the molecular characteristics of T cell-mediated tumor killing in pancreatic cancer. Heliyon 2024; 10:e27216. [PMID: 38449660 PMCID: PMC10915414 DOI: 10.1016/j.heliyon.2024.e27216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/08/2024] Open
Abstract
Background Despite the potential of immune checkpoint blockade (ICB) as a promising treatment for Pancreatic adenocarcinoma (PAAD), there is still a need to identify specific subgroups of PAAD patients who may benefit more from ICB. T cell-mediated tumor killing (TTK) is the primary concept behind ICB. We explored subtypes according to genes correlated with the sensitivity to TKK and unraveled their underlying associations for PAAD immunotherapies. Methods Genes that control the responsiveness of T cell-induced tumor destruction (GSTTK) were examined in PAAD, focusing on their varying expression levels and association with survival results. Moreover, samples with PAAD were separated into two subsets using unsupervised clustering based on GSTTK. Variability was evident in the tumor immune microenvironment, genetic mutation, and response to immunotherapy among different groups. In the end, we developed TRGscore, an innovative scoring system, and investigated its clinical and predictive significance in determining sensitivity to immunotherapy. Results Patients with PAAD were categorized into 2 clusters based on the expression of 52 GSTTKs, which showed varying levels and prognostic relevance, revealing unique TTK patterns. Survival outcome, immune cell infiltration, immunotherapy responses, and functional enrichment are also distinguished among the two clusters. Moreover, we found the CATSPER1 gene promotes the progression of PAAD through experiments. In addition, the TRGscore effectively predicted the responses to chemotherapeutics or immunotherapy in patients with PAAD and overall survival. Conclusions TTK exerted a vital influence on the tumor immune environment in PAAD. A greater understanding of TIME characteristics was gained through the evaluation of the variations in TTK modes across different tumor types. It highlights variations in the performance of T cells in PAAD and provides direction for improved treatment approaches.
Collapse
Affiliation(s)
- Yin-wei Dai
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Ya-ting Pan
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dan-feng Lin
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiao-hu Chen
- Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiang Zhou
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Wei-ming Wang
- Department of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| |
Collapse
|
82
|
Hidmi O, Oster S, Monin J, Aqeilan RI. TOP1 and R-loops facilitate transcriptional DSBs at hypertranscribed cancer driver genes. iScience 2024; 27:109082. [PMID: 38375218 PMCID: PMC10875566 DOI: 10.1016/j.isci.2024.109082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 12/26/2023] [Accepted: 01/28/2024] [Indexed: 02/21/2024] Open
Abstract
DNA double-stranded breaks (DSBs) pose a significant threat to genomic integrity, and their generation during essential cellular processes like transcription remains poorly understood. In this study, we employ several techniques to map DSBs, R-loops, and topoisomerase 1 cleavage complex (TOP1cc) to comprehensively investigate the interplay between transcription, DSBs, topoisomerase 1 (TOP1), and R-loops. Our findings reveal the presence of DSBs at highly expressed genes enriched with TOP1 and R-loops. Remarkably, transcription-associated DSBs at these loci are significantly reduced upon depletion of R-loops and TOP1, uncovering the pivotal roles of TOP1 and R-loops in transcriptional DSB formation. By elucidating the intricate interplay between TOP1cc trapping, R-loops, and DSBs, our study provides insights into the mechanisms underlying transcription-associated genomic instability. Moreover, we establish a link between transcriptional DSBs and early molecular changes driving cancer development, highlighting the distinct etiology and molecular characteristics of driver mutations compared to passenger mutations.
Collapse
Affiliation(s)
- Osama Hidmi
- The Concern Foundation Laboratories, The Lautenberg Center for Immunology and Cancer Research, Department of Immunology and Cancer Research-IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Sara Oster
- The Concern Foundation Laboratories, The Lautenberg Center for Immunology and Cancer Research, Department of Immunology and Cancer Research-IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Jonathan Monin
- The Concern Foundation Laboratories, The Lautenberg Center for Immunology and Cancer Research, Department of Immunology and Cancer Research-IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Rami I. Aqeilan
- The Concern Foundation Laboratories, The Lautenberg Center for Immunology and Cancer Research, Department of Immunology and Cancer Research-IMRIC, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel
- Cyprus Cancer Research Institute (CCRI), Nicosia, Cyprus
| |
Collapse
|
83
|
Saranchova I, Xia CW, Besoiu S, Finkel PL, Ellis SLS, Kari S, Munro L, Pfeifer CG, Fazli L, Gleave ME, Jefferies WA. A novel type-2 innate lymphoid cell-based immunotherapy for cancer. Front Immunol 2024; 15:1317522. [PMID: 38524132 PMCID: PMC10958781 DOI: 10.3389/fimmu.2024.1317522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/29/2024] [Indexed: 03/26/2024] Open
Abstract
Cell-based cancer immunotherapy has achieved significant advancements, providing a source of hope for cancer patients. Notwithstanding the considerable progress in cell-based immunotherapy, the persistently low response rates and the exorbitant costs associated with their implementation still present a formidable challenge in clinical settings. In the landscape of cell-based cancer immunotherapies, an uncharted territory involves Type 2 innate lymphoid cells (ILC2s) and interleukin-33 (IL-33) which promotes ILC2 functionality, recognized for their inherent ability to enhance immune responses. Recent discoveries regarding their role in actuating cytolytic T lymphocyte responses, including curbing tumor growth rates and hindering metastasis, have added a new dimension to our understanding of the IL-33/ILC2 axis. These recent insights may hold significant promise for ILC2 cell-based immunotherapy. Nevertheless, the prospect of adoptively transferring ILC2s to confer immune protection against tumors has yet to be investigated. The present study addresses this hypothesis, revealing that ILC2s isolated from the lungs of tumor-bearing mice, and tumor infiltrating ILC2s when adoptively transferred after tumor establishment at a ratio of one ILC2 per sixty tumor cells, leads to an influx of tumor infiltrating CD4+ and CD8+ T lymphocytes as well as tumor infiltrating eosinophils resulting in a remarkable reduction in tumor growth. Moreover, we find that post-adoptive transfer of ILC2s, the number of tumor infiltrating ILC2s is inversely proportional to tumor size. Finally, we find corollaries of the IL-33/ILC2 axis enhancing the infiltration of eosinophils in human prostate carcinomas patients' expressing high levels of IL-33 versus those expressing low levels of IL-33. Our results underscore the heightened efficacy of adoptively transferred ILC2s compared to alternative approaches, revealing an approximately one hundred fifty-fold superiority on a cell-per-cell basis over CAR T-cells in the specific targeting and elimination of tumors within the same experimental model. Overall, this study demonstrates the functional significance of ILC2s in cancer immunosurveillance and provides the proof of concept of the potential utility of ILC2 cell-based cancer immunotherapies.
Collapse
Affiliation(s)
- Iryna Saranchova
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Clara Wenjing Xia
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Stephanie Besoiu
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Pablo L. Finkel
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Samantha L. S. Ellis
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Suresh Kari
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Lonna Munro
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Cheryl G. Pfeifer
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| | - Ladan Fazli
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
- The Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
| | - Martin E. Gleave
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
- The Vancouver Prostate Centre, University of British Columbia, Vancouver, BC, Canada
| | - Wilfred A. Jefferies
- Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
- Center for Blood Research, University of British Columbia, Vancouver, BC, Canada
- The Djavad Mowafaghian Center for Brain Health, University of British Columbia, Vancouver, BC, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- Department of Zoology, University of British Columbia, Vancouver, BC, Canada
- Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada
| |
Collapse
|
84
|
Lee CL, O'Kane GM, Mason WP, Zhang WJ, Spiliopoulou P, Hansen AR, Grant RC, Knox JJ, Stockley TL, Zadeh G, Chen EX. Circulating Oncometabolite 2-hydroxyglutarate as a Potential Biomarker for Isocitrate Dehydrogenase (IDH1/2) Mutant Cholangiocarcinoma. Mol Cancer Ther 2024; 23:394-399. [PMID: 38015561 PMCID: PMC10911702 DOI: 10.1158/1535-7163.mct-23-0460] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/19/2023] [Accepted: 11/22/2023] [Indexed: 11/29/2023]
Abstract
Isocitrate dehydrogenase (IDH) enzymes catalyze the decarboxylation of isocitrate to alpha-ketoglutarate (αKG). IDH1/2 mutations preferentially convert αKG to R-2-hydroxyglutarate (R2HG), resulting in R2HG accumulation in tumor tissues. We investigated circulating 2-hydroxyglutate (2HG) as potential biomarkers for patients with IDH-mutant (IDHmt) cholangiocarcinoma (CCA). R2HG and S-2-hydroxyglutarate (S2HG) levels in blood and tumor tissues were analyzed in a discovery cohort of patients with IDHmt glioma and CCA. Results were validated in cohorts of patients with CCA and clear-cell renal cell carcinoma. The R2HG/S2HG ratio (rRS) was significantly elevated in tumor tissues, but not in blood for patients with IDHmt glioma, while circulating rRS was elevated in patients with IDHmt CCA. There were overlap distributions of circulating R2HG and total 2HG in patients with both IDHmt and wild-type (IDHwt) CCA, while there was minimal overlap in rRS values between patients with IDHmt and IDHwt CCA. Using the rRS cut-off value of 1.5, the sensitivity of rRS was 90% and specificity was 96.8%. Circulating rRS is significantly increased in patients with IDHmt CCA compare with patients with IDHwt CCA. Circulating rRS is a sensitive and specific surrogate biomarker for IDH1/2 mutations in CCA. It can potentially be used as a tool for monitoring IDH-targeted therapy.
Collapse
Affiliation(s)
- Cha Len Lee
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
| | - Grainne M. O'Kane
- Department of Medical Oncology, Trinity St. James's Cancer Institute, Trinity College Dublin, Dublin, Ireland
| | - Warren P. Mason
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
- MacFeeters Hamilton Center for Neuro-Oncology, University Health Network, Toronto, Canada
| | - Wen-Jiang Zhang
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
| | - Pavlina Spiliopoulou
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
| | - Aaron R. Hansen
- Division of Cancer Services, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - Robert C. Grant
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
| | - Jennifer J. Knox
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
| | - Tracy L. Stockley
- Advanced Molecular Diagnostic Laboratory, University Health Network, Toronto, Canada
| | - Gelareh Zadeh
- MacFeeters Hamilton Center for Neuro-Oncology, University Health Network, Toronto, Canada
| | - Eric X. Chen
- Division of Medical Oncology and Haematology, Princess Margaret Cancer Center, University Health Network, Toronto, Canada
| |
Collapse
|
85
|
Zhong Z, Hou J, Yao Z, Dong L, Liu F, Yue J, Wu T, Zheng J, Ouyang G, Yang C, Song J. Domain generalization enables general cancer cell annotation in single-cell and spatial transcriptomics. Nat Commun 2024; 15:1929. [PMID: 38431724 PMCID: PMC10908802 DOI: 10.1038/s41467-024-46413-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 02/09/2024] [Indexed: 03/05/2024] Open
Abstract
Single-cell and spatial transcriptome sequencing, two recently optimized transcriptome sequencing methods, are increasingly used to study cancer and related diseases. Cell annotation, particularly for malignant cell annotation, is essential and crucial for in-depth analyses in these studies. However, current algorithms lack accuracy and generalization, making it difficult to consistently and rapidly infer malignant cells from pan-cancer data. To address this issue, we present Cancer-Finder, a domain generalization-based deep-learning algorithm that can rapidly identify malignant cells in single-cell data with an average accuracy of 95.16%. More importantly, by replacing the single-cell training data with spatial transcriptomic datasets, Cancer-Finder can accurately identify malignant spots on spatial slides. Applying Cancer-Finder to 5 clear cell renal cell carcinoma spatial transcriptomic samples, Cancer-Finder demonstrates a good ability to identify malignant spots and identifies a gene signature consisting of 10 genes that are significantly co-localized and enriched at the tumor-normal interface and have a strong correlation with the prognosis of clear cell renal cell carcinoma patients. In conclusion, Cancer-Finder is an efficient and extensible tool for malignant cell annotation.
Collapse
Affiliation(s)
- Zhixing Zhong
- Institute of Artificial Intelligence, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361102, China
- Institute of Molecular Medicine, Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Junchen Hou
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Zhixian Yao
- Institute of Molecular Medicine, Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Lei Dong
- Department of Pathology, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200025, China
| | - Feng Liu
- School of Computing and Information Systems, The University of Melbourne, Carlton, Melbourne, VIC, 3053, Australia
| | - Junqiu Yue
- Department of Pathology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Tiantian Wu
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Junhua Zheng
- Institute of Molecular Medicine, Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Gaoliang Ouyang
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Chaoyong Yang
- Institute of Artificial Intelligence, Department of Chemical Biology, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361102, China
- Institute of Molecular Medicine, Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen, 361005, China
| | - Jia Song
- Institute of Molecular Medicine, Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| |
Collapse
|
86
|
Li J, Li Z, Yang W, Pan J, You H, Yang L, Zhang X. Development and verification of a novel immunogenic cell death-related signature for predicting the prognosis and immune infiltration in triple-negative breast cancer. Cancer Rep (Hoboken) 2024; 7:e2007. [PMID: 38425247 PMCID: PMC10905160 DOI: 10.1002/cnr2.2007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/01/2024] [Accepted: 02/05/2024] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND Insufficient understanding of the pathogenesis and tumor immunology of triple-negative breast cancer (TNBC) has limited the development of immunotherapy. The importance of tumor microenvironment (TME) in immunotyping, prognostic assessment and immunotherapy efficacy of cancer has been emphasized, however, potential immunogenic cell death (ICD) related genes function in TME of TNBC has been rarely investigated. AIMS To initially explore the role and related mechanisms of ICD in TNBC, especially the role played in the TME of TNBC, and to identify different relevant subtypes based on ICD, and then develop an ICD-related risk score to predict each TNBC patient TME status, prognosis and immunotherapy response. METHODS AND RESULTS In this study, we identified distinct ICD-related modification patterns based on 158 TNBC cases in the TCGA-TNBC cohort. We then investigated the possible correlation between ICD-related modification patterns and TME cell infiltration characteristics in TNBC. By using univariate Cox and least absolute shrinkage and selection operator (LASSO) regression analysis, we created a risk scoring system (ICD score) to quantifiably evaluate the impact of ICD-related modification patterns in individual TNBC patient. Two different ICD-related modification patterns were found with significant differences in immune infiltration. Lower ICD score was correlated with higher immune infiltration, tumor mutational burden and significantly enriched in immune-related pathways, indicating a strong ability to activate immune response, which might account for relatively favorable prognosis of TNBC patients and could serve as a predictor to select suitable candidates for immunotherapy. We used two independent cohorts, GSE58812 cohort and Metabric cohort to validate prognosis and immunohistochemistry for preliminary in vitro validation. CONCLUSION This study evidenced that the ICD-related modification patterns might exert pivotal roles in the immune infiltration landscape of TNBC and ICD score might act as potential predictors of prognostic assessment and immunotherapy response. This research provides unique insights for individualize immune treatment strategies and promising immunotherapy candidates screening.
Collapse
Affiliation(s)
- Jiachen Li
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Zhengtian Li
- Department of Bone and Joint SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Wenkang Yang
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Jianmin Pan
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Huazong You
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Lixiang Yang
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| | - Xiaodong Zhang
- Department of Gastrointestinal and Gland SurgeryThe First Affiliated Hospital of Guangxi Medical UniversityNanningChina
| |
Collapse
|
87
|
Yang S, Wang M, Hua Y, Li J, Zheng H, Cui M, Huang N, Liu Q, Liao Q. Advanced insights on tumor-associated macrophages revealed by single-cell RNA sequencing: The intratumor heterogeneity, functional phenotypes, and cellular interactions. Cancer Lett 2024; 584:216610. [PMID: 38244910 DOI: 10.1016/j.canlet.2024.216610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 11/28/2023] [Accepted: 12/18/2023] [Indexed: 01/22/2024]
Abstract
Single-cell RNA sequencing (scRNA-seq) is an emerging technology used for cellular transcriptome analysis. The application of scRNA-seq has led to profoundly advanced oncology research, continuously optimizing novel therapeutic strategies. Intratumor heterogeneity extensively consists of all tumor components, contributing to different tumor behaviors and treatment responses. Tumor-associated macrophages (TAMs), the core immune cells linking innate and adaptive immunity, play significant roles in tumor progression and resistance to therapies. Moreover, dynamic changes occur in TAM phenotypes and functions subject to the regulation of the tumor microenvironment. The heterogeneity of TAMs corresponding to the state of the tumor microenvironment has been comprehensively recognized using scRNA-seq. Herein, we reviewed recent research and summarized variations in TAM phenotypes and functions from a developmental perspective to better understand the significance of TAMs in the tumor microenvironment.
Collapse
Affiliation(s)
- Sen Yang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Mengyi Wang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Yuze Hua
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Jiayi Li
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Huaijin Zheng
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Ming Cui
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Nan Huang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Qiaofei Liu
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China.
| | - Quan Liao
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China.
| |
Collapse
|
88
|
Takahashi K, Yachida N, Tamura R, Adachi S, Kondo S, Abé T, Umezu H, Nyuzuki H, Okuda S, Nakaoka H, Yoshihara K. Clonal origin and genomic diversity in Lynch syndrome-associated endometrial cancer with multiple synchronous tumors: Identification of the pathogenicity of MLH1 p.L582H. Genes Chromosomes Cancer 2024; 63:e23231. [PMID: 38459936 DOI: 10.1002/gcc.23231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/06/2024] [Accepted: 02/20/2024] [Indexed: 03/11/2024] Open
Abstract
Lynch syndrome-associated endometrial cancer patients often present multiple synchronous tumors and this assessment can affect treatment strategies. We present a case of a 27-year-old woman with tumors in the uterine corpus, cervix, and ovaries who was diagnosed with endometrial cancer and exhibited cervical invasion and ovarian metastasis. Her family history suggested Lynch syndrome, and genetic testing identified a variant of uncertain significance, MLH1 p.L582H. We conducted immunohistochemical staining, microsatellite instability analysis, and Sanger sequencing for Lynch syndrome-associated cancers in three generations of the family and identified consistent MLH1 loss. Whole-exome sequencing for the corpus, cervical, and ovarian tumors of the proband identified a copy-neutral loss of heterozygosity (LOH) occurring at the MLH1 position in all tumors. This indicated that the germline variant and the copy-neutral LOH led to biallelic loss of MLH1 and was the cause of cancer initiation. All tumors shared a portion of somatic mutations with high mutant allele frequencies, suggesting a common clonal origin. There were no mutations shared only between the cervix and ovary samples. The profiles of mutant allele frequencies shared between the corpus and cervix or ovary indicated that two different subclones originating from the corpus independently metastasized to the cervix or ovary. Additionally, all tumors presented unique mutations in endometrial cancer-associated genes such as ARID1A and PIK3CA. In conclusion, we demonstrated clonal origin and genomic diversity in a Lynch syndrome-associated endometrial cancer, suggesting the importance of evaluating multiple sites in Lynch syndrome patients with synchronous tumors.
Collapse
Affiliation(s)
- Kotaro Takahashi
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
- Department of Cancer Genome Research, Sasaki Institute, Tokyo, Japan
| | - Nozomi Yachida
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Ryo Tamura
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Sosuke Adachi
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Shuhei Kondo
- Division of Pathology, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Tatsuya Abé
- Division of Oral Pathology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
- Division of Molecular and Diagnostic Pathology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Hajime Umezu
- Division of Pathology, Niigata University Medical and Dental Hospital, Niigata, Japan
| | - Hiromi Nyuzuki
- Department of Pediatrics, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Shujiro Okuda
- Division of bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Hirofumi Nakaoka
- Department of Cancer Genome Research, Sasaki Institute, Tokyo, Japan
| | - Kosuke Yoshihara
- Department of Obstetrics and Gynecology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| |
Collapse
|
89
|
Banerjee M, Srivastava S, Rai SN, States JC. Chronic arsenic exposure induces malignant transformation of human HaCaT cells through both deterministic and stochastic changes in transcriptome expression. Toxicol Appl Pharmacol 2024; 484:116865. [PMID: 38373578 PMCID: PMC10994602 DOI: 10.1016/j.taap.2024.116865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/11/2024] [Accepted: 02/13/2024] [Indexed: 02/21/2024]
Abstract
Biological processes are inherently stochastic, i.e., are partially driven by hard to predict random probabilistic processes. Carcinogenesis is driven both by stochastic and deterministic (predictable non-random) changes. However, very few studies systematically examine the contribution of stochastic events leading to cancer development. In differential gene expression studies, the established data analysis paradigms incentivize expression changes that are uniformly different across the experimental versus control groups, introducing preferential inclusion of deterministic changes at the expense of stochastic processes that might also play a crucial role in the process of carcinogenesis. In this study, we applied simple computational techniques to quantify: (i) The impact of chronic arsenic (iAs) exposure as well as passaging time on stochastic gene expression and (ii) Which genes were expressed deterministically and which were expressed stochastically at each of the three stages of cancer development. Using biological coefficient of variation as an empirical measure of stochasticity we demonstrate that chronic iAs exposure consistently suppressed passaging related stochastic gene expression at multiple time points tested, selecting for a homogenous cell population that undergo transformation. Employing multiple balanced removal of outlier data, we show that chronic iAs exposure induced deterministic and stochastic changes in the expression of unique set of genes, that populate largely unique biological pathways. Together, our data unequivocally demonstrate that both deterministic and stochastic changes in transcriptome-wide expression are critical in driving biological processes, pathways and networks towards clonal selection, carcinogenesis, and tumor heterogeneity.
Collapse
Affiliation(s)
- Mayukh Banerjee
- Department of Pharmacology and Toxicology, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA; Center for Integrative Environmental Health Sciences, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA
| | - Sudhir Srivastava
- Department of Bioinformatics and Biostatistics, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA
| | - Shesh N Rai
- Department of Bioinformatics and Biostatistics, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA; Biostatistics and Bioinformatics Facility, James Graham Brown Cancer Center, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA; Biostatistics and Informatics Facility Core, Center for Integrative Environmental Health Sciences, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA
| | - J Christopher States
- Department of Pharmacology and Toxicology, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA; Center for Integrative Environmental Health Sciences, University of Louisville, 505, S. Hancock Street, Louisville, KY 40202, USA.
| |
Collapse
|
90
|
Fatma H, Siddique HR. Cancer cell plasticity, stem cell factors, and therapy resistance: how are they linked? Cancer Metastasis Rev 2024; 43:423-440. [PMID: 37796391 DOI: 10.1007/s10555-023-10144-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 09/26/2023] [Indexed: 10/06/2023]
Abstract
Cellular plasticity can occur naturally in an organism and is considered an adapting mechanism during the developmental stage. However, abnormal cellular plasticity is observed in different diseased conditions, including cancer. Cancer cell plasticity triggers the stimuli of epithelial-mesenchymal transition (EMT), abnormal epigenetic changes, expression of stem cell factors and implicated signaling pathways, etc., and helps in the maintenance of CSC phenotype. Conversely, CSC maintains the cancer cell plasticity, EMT, and epigenetic plasticity. EMT contributes to increased cell migration and greater diversity within tumors, while epigenetic changes, stem cell factors (OCT4, NANOG, and SOX2), and various signaling pathways allow cancer cells to maintain various phenotypes, giving rise to intra- and inter-tumoral heterogeneity. The intricate relationships between cancer cell plasticity and stem cell factors help the tumor cells adopt drug-tolerant states, evade senescence, and successfully acquire drug resistance with treatment dismissal. Inhibiting molecules/signaling pathways involved in promoting CSCs, cellular plasticity, EMT, and epigenetic plasticity might be helpful for successful cancer therapy management. This review discussed the role of cellular plasticity, EMT, and stem cell factors in tumor initiation, progression, reprogramming, and therapy resistance. Finally, we discussed how the intervention in this axis will help better manage cancers and improve patient survivability.
Collapse
Affiliation(s)
- Homa Fatma
- Molecular Cancer Genetics & Translational Research Lab, Section of Genetics, Department of Zoology, Aligarh Muslim University, Aligarh, UP, 202002, India
| | - Hifzur R Siddique
- Molecular Cancer Genetics & Translational Research Lab, Section of Genetics, Department of Zoology, Aligarh Muslim University, Aligarh, UP, 202002, India.
| |
Collapse
|
91
|
Mack E. [Precision medicine in oncology]. INNERE MEDIZIN (HEIDELBERG, GERMANY) 2024; 65:194-201. [PMID: 37921995 DOI: 10.1007/s00108-023-01614-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/28/2023] [Indexed: 11/05/2023]
Abstract
Personalized oncology according to current practice is primarily based on tumor biology, which is translated into genomic biomarkers. Mutations in oncogenes and tumor suppressor genes are targeted by rationally designed drugs and, conversely, are used to inform tailored treatment strategies. Faster and cheaper technologies for DNA sequencing enable genomic medicine in a clinical routine setting. Genomic features, tumor biology and clinical implications are integrated into individual therapy recommendations by molecular tumor boards, which have been established at many cancer centers in Germany and worldwide throughout recent years. This article discusses the promises and limitations of genomics-centered precision oncology and highlights future avenues and alternative approaches to individualize cancer treatment.
Collapse
Affiliation(s)
- Elisabeth Mack
- Klinik für Hämatologie, Onkologie und Immunologie, Universitätsklinikum Gießen und Marburg GmbH, Standort Marburg, Philipps-Universität Marburg, Baldingerstr., 35043, Marburg, Deutschland.
| |
Collapse
|
92
|
George J, Maas L, Abedpour N, Cartolano M, Kaiser L, Fischer RN, Scheel AH, Weber JP, Hellmich M, Bosco G, Volz C, Mueller C, Dahmen I, John F, Alves CP, Werr L, Panse JP, Kirschner M, Engel-Riedel W, Jürgens J, Stoelben E, Brockmann M, Grau S, Sebastian M, Stratmann JA, Kern J, Hummel HD, Hegedüs B, Schuler M, Plönes T, Aigner C, Elter T, Toepelt K, Ko YD, Kurz S, Grohé C, Serke M, Höpker K, Hagmeyer L, Doerr F, Hekmath K, Strapatsas J, Kambartel KO, Chakupurakal G, Busch A, Bauernfeind FG, Griesinger F, Luers A, Dirks W, Wiewrodt R, Luecke A, Rodermann E, Diel A, Hagen V, Severin K, Ullrich RT, Reinhardt HC, Quaas A, Bogus M, Courts C, Nürnberg P, Becker K, Achter V, Büttner R, Wolf J, Peifer M, Thomas RK. Evolutionary trajectories of small cell lung cancer under therapy. Nature 2024; 627:880-889. [PMID: 38480884 PMCID: PMC10972747 DOI: 10.1038/s41586-024-07177-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 02/07/2024] [Indexed: 03/18/2024]
Abstract
The evolutionary processes that underlie the marked sensitivity of small cell lung cancer (SCLC) to chemotherapy and rapid relapse are unknown1-3. Here we determined tumour phylogenies at diagnosis and throughout chemotherapy and immunotherapy by multiregion sequencing of 160 tumours from 65 patients. Treatment-naive SCLC exhibited clonal homogeneity at distinct tumour sites, whereas first-line platinum-based chemotherapy led to a burst in genomic intratumour heterogeneity and spatial clonal diversity. We observed branched evolution and a shift to ancestral clones underlying tumour relapse. Effective radio- or immunotherapy induced a re-expansion of founder clones with acquired genomic damage from first-line chemotherapy. Whereas TP53 and RB1 alterations were exclusively part of the common ancestor, MYC family amplifications were frequently not constituents of the founder clone. At relapse, emerging subclonal mutations affected key genes associated with SCLC biology, and tumours harbouring clonal CREBBP/EP300 alterations underwent genome duplications. Gene-damaging TP53 alterations and co-alterations of TP53 missense mutations with TP73, CREBBP/EP300 or FMN2 were significantly associated with shorter disease relapse following chemotherapy. In summary, we uncover key processes of the genomic evolution of SCLC under therapy, identify the common ancestor as the source of clonal diversity at relapse and show central genomic patterns associated with sensitivity and resistance to chemotherapy.
Collapse
Affiliation(s)
- Julie George
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine and University Hospital Cologne, University Hospital of Cologne, Cologne, Germany.
| | - Lukas Maas
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Nima Abedpour
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Cancer Research Centre Cologne Essen, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Maria Cartolano
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Laura Kaiser
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Rieke N Fischer
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Andreas H Scheel
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jan-Philipp Weber
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Martin Hellmich
- Institute of Medical Statistics, and Computational Biology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Graziella Bosco
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Caroline Volz
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Christian Mueller
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Department of Otorhinolaryngology, Head and Neck Surgery, Faculty of Medicine and University Hospital Cologne, University Hospital of Cologne, Cologne, Germany
| | - Ilona Dahmen
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Felix John
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Cleidson Padua Alves
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Werr
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jens Peter Panse
- Department of Haematology, Oncology, Haemostaseology and Stem Cell Transplantation, University Hospital RWTH Aachen, Aachen, Germany
- Centre for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Aachen, Germany
| | - Martin Kirschner
- Department of Haematology, Oncology, Haemostaseology and Stem Cell Transplantation, University Hospital RWTH Aachen, Aachen, Germany
- Centre for Integrated Oncology, Aachen Bonn Cologne Düsseldorf, Aachen, Germany
| | - Walburga Engel-Riedel
- Department of Pneumology, City of Cologne Municipal Hospitals, Lung Hospital Cologne Merheim, Cologne, Germany
| | - Jessica Jürgens
- Department of Pneumology, City of Cologne Municipal Hospitals, Lung Hospital Cologne Merheim, Cologne, Germany
| | - Erich Stoelben
- Thoraxclinic Cologne, Thoracic Surgery, St. Hildegardis-Krankenhaus, Cologne, Germany
| | - Michael Brockmann
- Department of Pathology, City of Cologne Municipal Hospitals, Witten/Herdecke University, Cologne, Germany
| | - Stefan Grau
- Department of General Neurosurgery, Centre of Neurosurgery, University Hospital Cologne, Cologne, Germany
- University Medicine Marburg - Campus Fulda, Department of Neurosurgery, Fulda, Germany
| | - Martin Sebastian
- Department of Medicine II, Haematology/Oncology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt, Germany
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany
| | - Jan A Stratmann
- Department of Medicine II, Haematology/Oncology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt, Germany
| | - Jens Kern
- Klinikum Würzburg Mitte - Missioklinik site, Pneumology and Respiratory Medicine, Würzburg, Germany
| | - Horst-Dieter Hummel
- Translational Oncology/Early Clinical Trial Unit, Comprehensive Cancer Centre Mainfranken, University Hospital Wuerzburg, Wuerzburg, Germany
| | - Balazs Hegedüs
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
| | - Martin Schuler
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany
- Department of Medical Oncology, West German Cancer Centre Essen, University Duisburg-Essen, Essen, Germany
| | - Till Plönes
- Department of Medical Oncology, West German Cancer Centre Essen, University Duisburg-Essen, Essen, Germany
- Division of Thoracic Surgery, Department of General, Thoracic and Vascular Surgery, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Clemens Aigner
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
- Department of Thoracic Surgery, Medical University of Vienna, Vienna General Hospital, Vienna, Austria
| | - Thomas Elter
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
| | - Karin Toepelt
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
| | | | - Sylke Kurz
- Department of Respiratory Diseases, Evangelische Lungenklinik, Berlin, Germany
| | - Christian Grohé
- Department of Respiratory Diseases, Evangelische Lungenklinik, Berlin, Germany
| | - Monika Serke
- DGD Lungenklinik Hemer, Internal Medicine, Pneumology and Oncology, Hemer, Germany
| | - Katja Höpker
- Clinic III for Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lars Hagmeyer
- Clinic of Pneumology and Allergology, Centre for Sleep Medicine and Respiratory Care, Bethanien Hospital Solingen, Solingen, Germany
| | - Fabian Doerr
- Department of Thoracic Surgery, University Medicine Essen - Ruhrlandklinik, University Duisburg-Essen, Essen, Germany
- Department of Cardiothoracic Surgery, University Hospital of Cologne, Cologne, Germany
| | - Khosro Hekmath
- Department of Cardiothoracic Surgery, University Hospital of Cologne, Cologne, Germany
| | - Judith Strapatsas
- Department of Haematology, Oncology and Clinical Immunology, University Hospital of Duesseldorf, Düsseldorf, Germany
| | | | | | - Annette Busch
- Medical Clinic III for Oncology, Haematology, Immune-Oncology and Rheumatology, Centre for Integrative Medicine, University Hospital Bonn, Bonn, Germany
| | - Franz-Georg Bauernfeind
- Medical Clinic III for Oncology, Haematology, Immune-Oncology and Rheumatology, Centre for Integrative Medicine, University Hospital Bonn, Bonn, Germany
| | - Frank Griesinger
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Anne Luers
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Wiebke Dirks
- Pius-Hospital Oldenburg, Department of Haematology and Oncology, University Department Internal Medicine-Oncology, University Medicine Oldenburg, Oldenburg, Germany
| | - Rainer Wiewrodt
- Pulmonary Division, Department of Medicine A, Münster University Hospital, Münster, Germany
| | - Andrea Luecke
- Pulmonary Division, Department of Medicine A, Münster University Hospital, Münster, Germany
| | - Ernst Rodermann
- Onkologie Rheinsieg, Praxisnetzwerk Hämatologie und Internistische Onkologie, Troisdorf, Germany
| | - Andreas Diel
- Onkologie Rheinsieg, Praxisnetzwerk Hämatologie und Internistische Onkologie, Troisdorf, Germany
| | - Volker Hagen
- Clinic II for Internal Medicine, St.-Johannes-Hospital Dortmund, Dortmund, Germany
| | - Kai Severin
- Haematologie und Onkologie Köln MV-Zentrum, Cologne, Germany
| | - Roland T Ullrich
- Department I of Internal Medicine, Centre for Integrated Oncology Aachen Bonn Cologne Duesseldorf, University Hospital Cologne, Cologne, Germany
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany
| | - Hans Christian Reinhardt
- Department of Haematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
- West German Cancer Centre, University Hospital Essen, Essen, Germany
| | - Alexander Quaas
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Magdalena Bogus
- Institute of Legal Medicine, University of Cologne, Cologne, Germany
| | - Cornelius Courts
- Institute of Legal Medicine, University of Cologne, Cologne, Germany
| | - Peter Nürnberg
- Cologne Centre for Genomics, West German Genome Centre, University of Cologne, Cologne, Germany
| | - Kerstin Becker
- Cologne Centre for Genomics, West German Genome Centre, University of Cologne, Cologne, Germany
| | - Viktor Achter
- Computing Centre, University of Cologne, Cologne, Germany
| | - Reinhard Büttner
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Jürgen Wolf
- Department I of Internal Medicine, Lung Cancer Group Cologne, University Hospital Cologne, Cologne, Germany
| | - Martin Peifer
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Centre for Molecular Medicine, University of Cologne, Cologne, Germany.
| | - Roman K Thomas
- Department of Translational Genomics, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Institute of Pathology, Medical Faculty, University Hospital Cologne, University of Cologne, Cologne, Germany.
- DKFZ, German Cancer Research Centre, German Cancer Consortium, Heidelberg, Germany.
| |
Collapse
|
93
|
Skotheim RI, Bogaard M, Carm KT, Axcrona U, Axcrona K. Prostate cancer: Molecular aspects, consequences, and opportunities of the multifocal nature. Biochim Biophys Acta Rev Cancer 2024; 1879:189080. [PMID: 38272101 DOI: 10.1016/j.bbcan.2024.189080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 01/17/2024] [Accepted: 01/22/2024] [Indexed: 01/27/2024]
Abstract
Prostate cancer is unique compared to other major cancers due to the presence of multiple primary malignant foci in the majority of patients at the time of diagnosis. Each malignant focus has distinct somatic mutations and gene expression patterns, which represents a challenge for the development of prognostic tests for localized prostate cancer. Additionally, the molecular heterogeneity of advanced prostate cancer has important implications for management, particularly for patients with metastatic and locally recurrent cancer. Studies have shown that prostate cancers with mutations in DNA damage response genes are more sensitive to drugs inhibiting the poly ADP-ribose polymerase (PARP) enzyme. However, testing for such mutations should consider both spatial and temporal heterogeneity. Here, we summarize studies where multiregional genomics and transcriptomics analyses have been performed for primary prostate cancer. We further discuss the vast interfocal heterogeneity and how prognostic biomarkers and a molecular definition of the index tumor should be developed. The concept of focal treatments in prostate cancer has been evolving as a demand from patients and clinicians and is one example where there is a need for defining an index tumor. Here, biomarkers must have proven value for individual malignant foci. The potential discovery and implementation of biomarkers that are agnostic to heterogeneity are also explored as an alternative to multisample testing. Thus, deciding upon whole-organ treatment, such as radical prostatectomy, should depend on information from biomarkers which are informative for the whole organ.
Collapse
Affiliation(s)
- Rolf I Skotheim
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
| | - Mari Bogaard
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Kristina T Carm
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway
| | - Ulrika Axcrona
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Pathology, Oslo University Hospital, Oslo, Norway
| | - Karol Axcrona
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Oslo, Norway; Department of Urology, Akershus University Hospital, Lørenskog, Norway
| |
Collapse
|
94
|
Kolb T, Müller S, Möller P, Barth TFE, Marienfeld R. Molecular heterogeneity in histomorphologic subtypes of lung adeno carcinoma represents a challenge for treatment decision. Neoplasia 2024; 49:100955. [PMID: 38310709 PMCID: PMC10848034 DOI: 10.1016/j.neo.2023.100955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/13/2023] [Indexed: 02/06/2024]
Abstract
Lung cancer is the leading cause in cancer related death, with non-small cell lung cancer (NSCLC) being the most frequent subtype. The importance of NSCLC is reflected by the various targeted therapy options especially for NSCLC adenocarcinomas (lung adeno carcinoma (LUAD)) as well as a set of options for immune therapies. However, despite these therapy advances, the majority of patients do not show a long-term response to either targeted therapy or immune checkpoint inhibition. One reason for treatment failure appears to be the NSCLC tumor heterogeneity. NSCLC heterogeneity might lead to an insufficient molecular characterization of a given sample due to the limited tumor material used for pathological assessment as the majority of analyses is performed on small biopsies. To get a more detailed insight into the tumor heterogeneity of NSCLC LUAD, especially in the light of its different histomorphological growth patterns, we analysed isolated NSCLC growth pattern areas and the corresponding entire tumor samples of a cohort of 31 NSLCS LUAD patients and compared their mutational landscape and their expression profiles. While significant differences of complex biomarkers, like tumor mutational burden (TMB) or microsatellite instability (MSI), were not detected between the five growth patterns -lepidic, papillary, micropapillary, acinar, and solid- we observed various subclonal mutations and copy number variants. Moreover, RNASeq analysis revealed growth pattern specific expression profiles affecting cellular processes like apoptosis, metastasis and proliferation. Taken together, our data provide novel insights into the tumor heterogeneity of LUAD required to overcome tumor heterogeneity related therapy resistance.
Collapse
Affiliation(s)
- Tobias Kolb
- Institute of Pathology, Ulm University, Ulm, Germany
| | - Sarah Müller
- Institute of Pathology, Ulm University, Ulm, Germany
| | - Peter Möller
- Institute of Pathology, Ulm University, Ulm, Germany
| | | | | |
Collapse
|
95
|
Klobuch S, Seijkens TTP, Schumacher TN, Haanen JBAG. Tumour-infiltrating lymphocyte therapy for patients with advanced-stage melanoma. Nat Rev Clin Oncol 2024; 21:173-184. [PMID: 38191921 DOI: 10.1038/s41571-023-00848-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/04/2023] [Indexed: 01/10/2024]
Abstract
Immunotherapy with immune-checkpoint inhibitors (ICIs) and targeted therapy with BRAF and MEK inhibitors have revolutionized the treatment of melanoma over the past decade. Despite these breakthroughs, the 5-year survival rate of patients with advanced-stage melanoma is at most 50%, emphasizing the need for additional therapeutic strategies. Adoptive cell therapy with tumour-infiltrating lymphocytes (TILs) is a therapeutic modality that has, in the past few years, demonstrated long-term clinical benefit in phase II/III trials involving patients with advanced-stage melanoma, including those with disease progression on ICIs and/or BRAF/MEK inhibitors. In this Review, we summarize the current status of TIL therapies for patients with advanced-stage melanoma, including potential upcoming marketing authorization, the characteristics of TIL therapy products, as well as future strategies that are expected to increase the efficacy of this promising cellular immunotherapy.
Collapse
Affiliation(s)
- Sebastian Klobuch
- Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Tom T P Seijkens
- Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands
- Department of Medical Biochemistry, Amsterdam University Medical Centers, Amsterdam, Netherlands
| | - Ton N Schumacher
- Division of Molecular Oncology and Immunology, Oncode Institute, Netherlands Cancer Institute, Amsterdam, Netherlands
- Department of Hematology, Leiden University Medical Center, Leiden, Netherlands
| | - John B A G Haanen
- Division of Medical Oncology, Netherlands Cancer Institute, Amsterdam, Netherlands.
- Division of Molecular Oncology and Immunology, Oncode Institute, Netherlands Cancer Institute, Amsterdam, Netherlands.
- Department of Medical Oncology, Leiden University Medical Center, Leiden, Netherlands.
- Melanoma Clinic, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
| |
Collapse
|
96
|
Chen W, Lai J, Dong S, Chen L, Yang H. Engineering Logic DNA Nanoprobes on Live Cell Membranes for Simultaneously Monitoring Extracellular pH and Precise Drug Delivery. Anal Chem 2024; 96:3462-3469. [PMID: 38358853 DOI: 10.1021/acs.analchem.3c05064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
It remains a challenge to use a single probe to simultaneously detect extracellular pH fluctuations and specifically recognize cancer cells for precise drug delivery. Here, we engineered a tetrahedral framework nucleic acid-based logic nanoprobe (isgc8-tFNA) on live cell membranes for simultaneously monitoring extracellular pH and targeted drug delivery. Isgc8-tFNA was anchored stably on the cell surface through three cholesterol molecules inserting into the bilayer of the cell membrane. Once responding to the acidic tumor microenvironment, isgc8-tFNA formed an i-motif structure, leading to turn-on FRET signals for monitoring changes of extracellular pH. The nanoprobe exhibited a narrow pH-response window and excellent reversibility. Moreover, the nanoprobe could execute logic identification on the cell surface for precise drug delivery. Only if both in the acidic microenvironment and aptamer-targeting marker are present on the cell surface, the sgc8-ASO-chimera strand, carrying an antisense oligonucleotide drug, was released from the nanoprobe and entered into targeted cancer cells for gene silence. Additionally, the in situ drug release facilitated the uptake of drugs mediated by the interaction between sgc8 aptamer and membrane proteins, resulting in enhanced inhibition of cancer cell migration and proliferation. This logic nanoprobe will provide inspiration for designing smart devices for diagnosis of pH-related diseases and targeted drug delivery.
Collapse
Affiliation(s)
- Wanzhen Chen
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350108, PR China
| | - Jingjing Lai
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350108, PR China
| | - Siqi Dong
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350108, PR China
| | - Lanlan Chen
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350108, PR China
| | - Huanghao Yang
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou 350108, PR China
| |
Collapse
|
97
|
Andel D, Viergever BJ, Peters NA, Elisabeth Raats DA, Schenning-van Schelven SJ, Willem Intven MP, Zandvliet M, Hagendoorn J, Max Borel Rinkes IH, Kranenburg O. Pre-existing subclones determine radioresistance in rectal cancer organoids. Cell Rep 2024; 43:113735. [PMID: 38310513 DOI: 10.1016/j.celrep.2024.113735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/05/2023] [Accepted: 01/17/2024] [Indexed: 02/06/2024] Open
Abstract
More than half of all patients with cancer receive radiation therapy, but resistance is commonly observed. Currently, it is unknown whether resistance to radiation therapy is acquired or inherently present. Here, we employed organoids derived from rectal cancer and single-cell whole-genome sequencing to investigate the long-term evolution of subclones in response to radiation. Comparing single-cell whole-genome karyotypes between in-vitro-unirradiated and -irradiated organoids revealed three patterns of subclonal evolution: (1) subclonal persistence, (2) subclonal extinction, and (3) subclonal expansion. Organoids in which subclonal shifts occurred (i.e., expansion or extinction) became more resistant to radiation. Although radioresistant subclones did not share recurrent copy-number alterations that could explain their radioresistance, resistance was associated with reduced chromosomal instability, an association that was also observed in 529 human cancer cell lines. These data suggest that resistance to radiation is inherently present and associated with reduced chromosomal instability.
Collapse
Affiliation(s)
- Daan Andel
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Bas Jeroen Viergever
- Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Niek Alexander Peters
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | | | | | - Martijn Peter Willem Intven
- Department of Radiation Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Maurice Zandvliet
- Department of Clinical Sciences - Companion Animals, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands
| | - Jeroen Hagendoorn
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands
| | - Inne Hilbrand Max Borel Rinkes
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands.
| | - Onno Kranenburg
- Department of Surgical Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Laboratory for Translational Oncology, University Medical Center Utrecht, Cancer Center, Utrecht, the Netherlands; Utrecht Platform for Organoid Technology, Utrecht University, Utrecht, the Netherlands.
| |
Collapse
|
98
|
Tai MC, Bantis LE, Parhy G, Kato T, Tanaka I, Chow CW, Fujimoto J, Behrens C, Hase T, Kawaguchi K, Fahrmann JF, Ostrin EJ, Yokoi K, Chen-Yoshikawa TF, Hasegawa Y, Hanash SM, Wistuba II, Taguchi A. Circulating microRNA Panel for Prediction of Recurrence and Survival in Early-Stage Lung Adenocarcinoma. Int J Mol Sci 2024; 25:2331. [PMID: 38397007 PMCID: PMC10888571 DOI: 10.3390/ijms25042331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 02/08/2024] [Accepted: 02/13/2024] [Indexed: 02/25/2024] Open
Abstract
Early-stage lung adenocarcinoma (LUAD) patients remain at substantial risk for recurrence and disease-related death, highlighting the unmet need of biomarkers for the assessment and identification of those in an early stage who would likely benefit from adjuvant chemotherapy. To identify circulating miRNAs useful for predicting recurrence in early-stage LUAD, we performed miRNA microarray analysis with pools of pretreatment plasma samples from patients with stage I LUAD who developed recurrence or remained recurrence-free during the follow-up period. Subsequent validation in 85 patients with stage I LUAD resulted in the development of a circulating miRNA panel comprising miR-23a-3p, miR-320c, and miR-125b-5p and yielding an area under the curve (AUC) of 0.776 in predicting recurrence. Furthermore, the three-miRNA panel yielded an AUC of 0.804, with a sensitivity of 45.8% at 95% specificity in the independent test set of 57 stage I and II LUAD patients. The miRNA panel score was a significant and independent factor for predicting disease-free survival (p < 0.001, hazard ratio [HR] = 1.64, 95% confidence interval [CI] = 1.51-4.22) and overall survival (p = 0.001, HR = 1.51, 95% CI = 1.17-1.94). This circulating miRNA panel is a useful noninvasive tool to stratify early-stage LUAD patients and determine an appropriate treatment plan with maximal efficacy.
Collapse
Affiliation(s)
- Mei-Chee Tai
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (G.P.); (T.K.)
| | - Leonidas E. Bantis
- Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Gargy Parhy
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (G.P.); (T.K.)
| | - Taketo Kato
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (G.P.); (T.K.)
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan; (K.K.); (T.F.C.-Y.)
| | - Ichidai Tanaka
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan (T.H.); (Y.H.)
| | - Chi-Wan Chow
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (G.P.); (T.K.)
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (G.P.); (T.K.)
| | - Carmen Behrens
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Tetsunari Hase
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan (T.H.); (Y.H.)
| | - Koji Kawaguchi
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan; (K.K.); (T.F.C.-Y.)
| | - Johannes F. Fahrmann
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (J.F.F.); (S.M.H.)
| | - Edwin J. Ostrin
- Department of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kohei Yokoi
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan; (K.K.); (T.F.C.-Y.)
| | - Toyofumi F. Chen-Yoshikawa
- Department of Thoracic Surgery, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan; (K.K.); (T.F.C.-Y.)
| | - Yoshinori Hasegawa
- Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Japan (T.H.); (Y.H.)
- National Hospital Organization Nagoya Medical Center, Nagoya 460-0001, Japan
| | - Samir M. Hanash
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; (J.F.F.); (S.M.H.)
| | - Ignacio I. Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (G.P.); (T.K.)
| | - Ayumu Taguchi
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA (G.P.); (T.K.)
- Division of Molecular Diagnostics, Aichi Cancer Center, Nagoya 464-8681, Japan
- Division of Advanced Cancer Diagnostics, Nagoya University Graduate School of Medicine, Nagoya 466-8560, Aichi, Japan
| |
Collapse
|
99
|
Lyskjær I, Iisager L, Axelsen CT, Nielsen TK, Dyrskjøt L, Fristrup N. Management of Renal Cell Carcinoma: Promising Biomarkers and the Challenges to Reach the Clinic. Clin Cancer Res 2024; 30:663-672. [PMID: 37874628 PMCID: PMC10870122 DOI: 10.1158/1078-0432.ccr-23-1892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/23/2023] [Accepted: 09/27/2023] [Indexed: 10/25/2023]
Abstract
The incidence of renal cell carcinoma (RCC) is increasing worldwide, yet research within this field is lagging behind other cancers. Despite increased detection of early disease as a consequence of the widespread use of diagnostic CT scans, 25% of patients have disseminated disease at diagnosis. Similarly, around 25% progress to metastatic disease following curatively intended surgery. Surgery is the cornerstone in the treatment of RCC; however, when the disease is disseminated, immunotherapy or immunotherapy in combination with a tyrosine kinase inhibitor is the patient's best option. Immunotherapy is a potent treatment, with durable treatment responses and potential to cure the patient, but only half of the patients benefit from the administered treatment, and there are currently no methods that can identify which patients will respond to immunotherapy. Moreover, there is a need to identify the patients in greatest risk of relapsing after surgery for localized disease and direct adjuvant treatment there. Even though several molecular biomarkers have been published to date, we are still lacking routinely used biomarkers to guide optimal clinical management. The purpose of this review is to highlight some of the most promising biomarkers, discuss the efforts made within this field to date, and describe the barriers needed to be overcome to have reliable and robust predictive and prognostic biomarkers in the clinic for renal cancer.
Collapse
Affiliation(s)
- Iben Lyskjær
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Laura Iisager
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | | | | | - Lars Dyrskjøt
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Niels Fristrup
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| |
Collapse
|
100
|
Wang W, Zhen S, Ping Y, Wang L, Zhang Y. Metabolomic biomarkers in liquid biopsy: accurate cancer diagnosis and prognosis monitoring. Front Oncol 2024; 14:1331215. [PMID: 38384814 PMCID: PMC10879439 DOI: 10.3389/fonc.2024.1331215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
Liquid biopsy, a novel detection method, has recently become an active research area in clinical cancer owing to its unique advantages. Studies on circulating free DNA, circulating tumor cells, and exosomes obtained by liquid biopsy have shown great advances and they have entered clinical practice as new cancer biomarkers. The metabolism of the body is dynamic as cancer originates and progresses. Metabolic abnormalities caused by cancer can be detected in the blood, sputum, urine, and other biological fluids via systemic or local circulation. A considerable number of recent studies have focused on the roles of metabolic molecules in cancer. The purpose of this review is to provide an overview of metabolic markers from various biological fluids in the latest clinical studies, which may contribute to cancer screening and diagnosis, differentiation of cancer typing, grading and staging, and prediction of therapeutic response and prognosis.
Collapse
Affiliation(s)
- Wenqian Wang
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Shanshan Zhen
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Yu Ping
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
| | - Liping Wang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yi Zhang
- Biotherapy Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Key Laboratory for Tumor Immunology and Biotherapy of Henan Province, Zhengzhou, Henan, China
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China
- State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|