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Qi Y, Rezaeian AH, Wang J, Huang D, Chen H, Inuzuka H, Wei W. Molecular insights and clinical implications for the tumor suppressor role of SCF FBXW7 E3 ubiquitin ligase. Biochim Biophys Acta Rev Cancer 2024; 1879:189140. [PMID: 38909632 DOI: 10.1016/j.bbcan.2024.189140] [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: 04/12/2024] [Revised: 06/04/2024] [Accepted: 06/17/2024] [Indexed: 06/25/2024]
Abstract
FBXW7 is one of the most well-characterized F-box proteins, serving as substrate receptor subunit of SKP1-CUL1-F-box (SCF) E3 ligase complexes. SCFFBXW7 is responsible for the degradation of various oncogenic proteins such as cyclin E, c-MYC, c-JUN, NOTCH, and MCL1. Therefore, FBXW7 functions largely as a major tumor suppressor. In keeping with this notion, FBXW7 gene mutations or downregulations have been found and reported in many types of malignant tumors, such as endometrial, colorectal, lung, and breast cancers, which facilitate the proliferation, invasion, migration, and drug resistance of cancer cells. Therefore, it is critical to review newly identified FBXW7 regulation and tumor suppressor function under physiological and pathological conditions to develop effective strategies for the treatment of FBXW7-altered cancers. Since a growing body of evidence has revealed the tumor-suppressive activity and role of FBXW7, here, we updated FBXW7 upstream and downstream signaling including FBXW7 ubiquitin substrates, the multi-level FBXW7 regulatory mechanisms, and dysregulation of FBXW7 in cancer, and discussed promising cancer therapies targeting FBXW7 regulators and downstream effectors, to provide a comprehensive picture of FBXW7 and facilitate the study in this field.
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Affiliation(s)
- Yihang Qi
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Abdol-Hossein Rezaeian
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Jingchao Wang
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Daoyuan Huang
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Hong Chen
- Vascular Biology Program, Department of Surgery, Harvard Medical School, Boston Children's Hospital, Boston, MA, USA
| | - Hiroyuki Inuzuka
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Wenyi Wei
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
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2
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Zhou X, Qian Y, Ling C, He Z, Shi P, Gao Y, Sui X. An integrated framework for prognosis prediction and drug response modeling in colorectal liver metastasis drug discovery. J Transl Med 2024; 22:321. [PMID: 38555418 PMCID: PMC10981831 DOI: 10.1186/s12967-024-05127-5] [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: 10/25/2023] [Accepted: 03/23/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Colorectal cancer (CRC) is the third most prevalent cancer globally, and liver metastasis (CRLM) is the primary cause of death. Hence, it is essential to discover novel prognostic biomarkers and therapeutic drugs for CRLM. METHODS This study developed two liver metastasis-associated prognostic signatures based on differentially expressed genes (DEGs) in CRLM. Additionally, we employed an interpretable deep learning model utilizing drug sensitivity databases to identify potential therapeutic drugs for high-risk CRLM patients. Subsequently, in vitro and in vivo experiments were performed to verify the efficacy of these compounds. RESULTS These two prognostic models exhibited superior performance compared to previously reported ones. Obatoclax, a BCL-2 inhibitor, showed significant differential responses between high and low risk groups classified by prognostic models, and demonstrated remarkable effectiveness in both Transwell assay and CT26 colorectal liver metastasis mouse model. CONCLUSIONS This study highlights the significance of developing specialized prognostication approaches and investigating effective therapeutic drugs for patients with CRLM. The application of a deep learning drug response model provides a new drug discovery strategy for translational medicine in precision oncology.
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Affiliation(s)
- Xiuman Zhou
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China
| | - Yuzhen Qian
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Chen Ling
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China
| | - Zhuoying He
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China
| | - Peishang Shi
- School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China
| | - Yanfeng Gao
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China.
| | - Xinghua Sui
- School of Pharmaceutical Sciences (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong Province, 518107, China.
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3
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Boretto M, Geurts MH, Gandhi S, Ma Z, Staliarova N, Celotti M, Lim S, He GW, Millen R, Driehuis E, Begthel H, Smabers L, Roodhart J, van Es J, Wu W, Clevers H. Epidermal growth factor receptor (EGFR) is a target of the tumor-suppressor E3 ligase FBXW7. Proc Natl Acad Sci U S A 2024; 121:e2309902121. [PMID: 38483988 PMCID: PMC10962967 DOI: 10.1073/pnas.2309902121] [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: 06/12/2023] [Accepted: 01/08/2024] [Indexed: 03/19/2024] Open
Abstract
FBXW7 is an E3 ubiquitin ligase that targets proteins for proteasome-mediated degradation and is mutated in various cancer types. Here, we use CRISPR base editors to introduce different FBXW7 hotspot mutations in human colon organoids. Functionally, FBXW7 mutation reduces EGF dependency of organoid growth by ~10,000-fold. Combined transcriptomic and proteomic analyses revealed increased EGFR protein stability in FBXW7 mutants. Two distinct phosphodegron motifs reside in the cytoplasmic tail of EGFR. Mutations in these phosphodegron motifs occur in human cancer. CRISPR-mediated disruption of the phosphodegron motif at T693 reduced EGFR degradation and EGF growth factor dependency. FBXW7 mutant organoids showed reduced sensitivity to EGFR-MAPK inhibitors. These observations were further strengthened in CRC-derived organoid lines and validated in a cohort of patients treated with panitumumab. Our data imply that FBXW7 mutations reduce EGF dependency by disabling EGFR turnover.
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Affiliation(s)
- Matteo Boretto
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Maarten H. Geurts
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Shashank Gandhi
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
- Department of Molecular and Cellular Biology, Miller Institute for Basic Research in Science, University of California, Berkeley, CA94720
| | - Ziliang Ma
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore138648, Singapore
- Department of Pharmacy, National University of Singapore, Singapore117543, Singapore
- Department of Biomolecular Mass Spectrometry and Proteomics, Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CHUtrecht, the Netherlands
| | - Nadzeya Staliarova
- Department of Biomolecular Mass Spectrometry and Proteomics, Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CHUtrecht, the Netherlands
| | - Martina Celotti
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Sangho Lim
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Gui-Wei He
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Rosemary Millen
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Else Driehuis
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Harry Begthel
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Lidwien Smabers
- Department of Medical Oncology, University Medical Center Utrecht, 3584 CXUtrecht, the Netherlands
| | - Jeanine Roodhart
- Department of Medical Oncology, University Medical Center Utrecht, 3584 CXUtrecht, the Netherlands
| | - Johan van Es
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
| | - Wei Wu
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore138648, Singapore
- Department of Pharmacy, National University of Singapore, Singapore117543, Singapore
- Department of Biomolecular Mass Spectrometry and Proteomics, Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CHUtrecht, the Netherlands
| | - Hans Clevers
- Organoid group, Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences and University Medical Center, 3584CTUtrecht, the Netherlands
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4
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Ohara K, Rendeiro AF, Bhinder B, Eng KW, Ravichandran H, Nguyen D, Pisapia D, Vosoughi A, Fernandez E, Shohdy KS, Manohar J, Beg S, Wilkes D, Robinson BD, Khani F, Bareja R, Tagawa ST, Ouseph MM, Sboner A, Elemento O, Faltas BM, Mosquera JM. The evolution of metastatic upper tract urothelial carcinoma through genomic-transcriptomic and single-cell protein markers analysis. Nat Commun 2024; 15:2009. [PMID: 38499531 PMCID: PMC10948878 DOI: 10.1038/s41467-024-46320-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: 12/26/2021] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
The molecular characteristics of metastatic upper tract urothelial carcinoma (UTUC) are not well understood, and there is a lack of knowledge regarding the genomic and transcriptomic differences between primary and metastatic UTUC. To address these gaps, we integrate whole-exome sequencing, RNA sequencing, and Imaging Mass Cytometry using lanthanide metal-conjugated antibodies of 44 tumor samples from 28 patients with high-grade primary and metastatic UTUC. We perform a spatially-resolved single-cell analysis of cancer, immune, and stromal cells to understand the evolution of primary to metastatic UTUC. We discover that actionable genomic alterations are frequently discordant between primary and metastatic UTUC tumors in the same patient. In contrast, molecular subtype membership and immune depletion signature are stable across primary and matched metastatic UTUC. Molecular and immune subtypes are consistent between bulk RNA-sequencing and mass cytometry of protein markers from 340,798 single cells. Molecular subtypes at the single-cell level are highly conserved between primary and metastatic UTUC tumors within the same patient.
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Affiliation(s)
- Kentaro Ohara
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - André Figueiredo Rendeiro
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Avenue, New York, NY, 10021, USA
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14 AKH BT 25.3, 1090, Vienna, Austria
| | - Bhavneet Bhinder
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Avenue, New York, NY, 10021, USA
| | - Kenneth Wha Eng
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Avenue, New York, NY, 10021, USA
| | - Hiranmayi Ravichandran
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Duy Nguyen
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, 10065, USA
| | - David Pisapia
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Aram Vosoughi
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Evan Fernandez
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Avenue, New York, NY, 10021, USA
| | - Kyrillus S Shohdy
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Jyothi Manohar
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Shaham Beg
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - David Wilkes
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Brian D Robinson
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Francesca Khani
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
| | - Rohan Bareja
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Avenue, New York, NY, 10021, USA
| | - Scott T Tagawa
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, 10065, USA
- Sandra and Edward Meyer Cancer Center at Weill Cornell Medicine, New York, NY, 10065, USA
| | - Madhu M Ouseph
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Andrea Sboner
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Avenue, New York, NY, 10021, USA
| | - Olivier Elemento
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA
- Department of Physiology and Biophysics, Weill Cornell Medicine, 1300 York Avenue, New York, NY, 10065, USA
- Institute for Computational Biomedicine, Weill Cornell Medicine, 1305 York Avenue, New York, NY, 10021, USA
- Sandra and Edward Meyer Cancer Center at Weill Cornell Medicine, New York, NY, 10065, USA
| | - Bishoy M Faltas
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA.
- Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, 10065, USA.
- Sandra and Edward Meyer Cancer Center at Weill Cornell Medicine, New York, NY, 10065, USA.
- Departments of Cell and Developmental Biology, Weill Cornell Medicine, New York, NY, 10065, USA.
| | - Juan Miguel Mosquera
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, 10065, USA.
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, 10021, USA.
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Dymerska D, Marusiak AA. Drivers of cancer metastasis - Arise early and remain present. Biochim Biophys Acta Rev Cancer 2024; 1879:189060. [PMID: 38151195 DOI: 10.1016/j.bbcan.2023.189060] [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: 09/22/2023] [Revised: 12/09/2023] [Accepted: 12/15/2023] [Indexed: 12/29/2023]
Abstract
Cancer and its metastases arise from mutations of genes, drivers that promote a tumor's growth. Analyses of driver events provide insights into cancer cell history and may lead to a better understanding of oncogenesis. We reviewed 27 metastatic research studies, including pan-cancer studies, individual cancer studies, and phylogenetic analyses, and summarized our current knowledge of metastatic drivers. All of the analyzed studies had a high level of consistency of driver mutations between primary tumors and metastasis, indicating that most drivers appear early in cancer progression and are maintained in metastatic cells. Additionally, we reviewed data from around 50,000 metastatic cancer patients and compiled a list of genes altered in metastatic lesions. We performed Gene Ontology analysis and confirmed that the most significantly enriched processes in metastatic lesions were the epigenetic regulation of gene expression, signal transduction, cell cycle, programmed cell death, DNA damage, hypoxia and EMT. In this review, we explore the most recent discoveries regarding genetic factors in the advancement of cancer, specifically those that drive metastasis.
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Affiliation(s)
- Dagmara Dymerska
- Laboratory of Molecular OncoSignalling, IMol Polish Academy of Sciences, Warsaw, Poland.
| | - Anna A Marusiak
- Laboratory of Molecular OncoSignalling, IMol Polish Academy of Sciences, Warsaw, Poland.
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6
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Tanaka A, Ogawa M, Zhou Y, Namba K, Hendrickson RC, Miele MM, Li Z, Klimstra DS, Buckley PG, Gulcher J, Wang JY, Roehrl MHA. Proteogenomic characterization of primary colorectal cancer and metastatic progression identifies proteome-based subtypes and signatures. Cell Rep 2024; 43:113810. [PMID: 38377004 DOI: 10.1016/j.celrep.2024.113810] [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: 11/20/2022] [Revised: 10/26/2023] [Accepted: 02/01/2024] [Indexed: 02/22/2024] Open
Abstract
Metastatic progression of colorectal adenocarcinoma (CRC) remains poorly understood and poses significant challenges for treatment. To overcome these challenges, we performed multiomics analyses of primary CRC and liver metastases. Genomic alterations, such as structural variants or copy number alterations, were enriched in oncogenes and tumor suppressor genes and increased in metastases. Unsupervised mass spectrometry-based proteomics of 135 primary and 123 metastatic CRCs uncovered distinct proteomic subtypes, three each for primary and metastatic CRCs, respectively. Integrated analyses revealed that hypoxia, stemness, and immune signatures characterize these 6 subtypes. Hypoxic CRC harbors high epithelial-to-mesenchymal transition features and metabolic adaptation. CRC with a stemness signature shows high oncogenic pathway activation and alternative telomere lengthening (ALT) phenotype, especially in metastatic lesions. Tumor microenvironment analysis shows immune evasion via modulation of major histocompatibility complex (MHC) class I/II and antigen processing pathways. This study characterizes both primary and metastatic CRCs and provides a large proteogenomics dataset of metastatic progression.
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Affiliation(s)
- Atsushi Tanaka
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Makiko Ogawa
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Yihua Zhou
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; ICU Department, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Kei Namba
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
| | - Ronald C Hendrickson
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Matthew M Miele
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Zhuoning Li
- Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David S Klimstra
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Paige.AI, New York, NY, USA
| | | | | | | | - Michael H A Roehrl
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
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7
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Lee TH, Yoon K, Lee S, Choi WR, Kim KG. Comparative Sensing and Judgment Control System for Temperature Maintenance for Optimal Treatment in Hyperthermic Intraperitoneal Chemotherapy Surgery. SENSORS (BASEL, SWITZERLAND) 2024; 24:596. [PMID: 38257692 PMCID: PMC10821041 DOI: 10.3390/s24020596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 01/05/2024] [Accepted: 01/11/2024] [Indexed: 01/24/2024]
Abstract
For tumors wherein cancer cells remain in the tissue after colorectal cancer surgery, a hyperthermic anticancer agent is injected into the abdominal cavity to necrotize the remaining cancer cells with heat using a hyperthermic intraperitoneal chemotherapy system. However, during circulation, the processing temperature is out of range and the processing result is deteriorated. This paper proposes a look-up table (LUT) module design method that can stably maintain the processing temperature range during circulation via feedback. If the temperature decreases or increases, the LUT transmits a command signal to the heat exchanger to reduce or increase heat input, thereby maintaining the treatment temperature range. The command signal for increasing and decreasing heat input is Tp and Ta, respectively. The command signal for the treatment temperature range is Ts. If drug temperatures below 41 and above 43 °C are input to the LUT, it sends a Tp or Ta signal to the heat exchanger to increase or decrease the input heat, respectively. If the drug's temperature is 41-43 °C, the LUT generates a Ts signal and proceeds with the treatment. The proposed system can automatically control drug temperature using temperature feedback to ensure rapid, accurate, and safe treatment.
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Affiliation(s)
- Tae-Hyeon Lee
- Department of Electronic Engineering, Gyeonggi University of Science and Technology, 269 Gyeonggigwagi–dearo, Gyeonggi–do, Siheung City 15073, Republic of Korea;
| | - Kicheol Yoon
- Medical Devices R&D Center, Gachon University Gil Medical Center, 21, 774 beon–gil, Namdong–daero Namdong–gu, Incheon 21565, Republic of Korea; (K.Y.); (S.L.); (W.R.C.)
- Department of Premedicine Course, College of Medicine, Gachon University, 38–13, 3 Dokjom–ro, Namdong–gu, Incheon 21565, Republic of Korea
| | - Sangyun Lee
- Medical Devices R&D Center, Gachon University Gil Medical Center, 21, 774 beon–gil, Namdong–daero Namdong–gu, Incheon 21565, Republic of Korea; (K.Y.); (S.L.); (W.R.C.)
- Department of Health and Safety Convergence Sciences & Health and Environmental Convergence Sciences, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
- Department of Biomedical Engineering, Gachon University, 38–13, 3 Dokjom–ro, Namdong–gu, Incheon 21565, Republic of Korea
| | - Woong Rak Choi
- Medical Devices R&D Center, Gachon University Gil Medical Center, 21, 774 beon–gil, Namdong–daero Namdong–gu, Incheon 21565, Republic of Korea; (K.Y.); (S.L.); (W.R.C.)
- Department of Biomedical Engineering, Gachon University, 38–13, 3 Dokjom–ro, Namdong–gu, Incheon 21565, Republic of Korea
- School of Electrical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Kwang Gi Kim
- Medical Devices R&D Center, Gachon University Gil Medical Center, 21, 774 beon–gil, Namdong–daero Namdong–gu, Incheon 21565, Republic of Korea; (K.Y.); (S.L.); (W.R.C.)
- Department of Biomedical Engineering, Gachon University, 38–13, 3 Dokjom–ro, Namdong–gu, Incheon 21565, Republic of Korea
- Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology (GAIHST), Gachon University, 38–13, 3 Dokjom–ro, Namdong–gu, Incheon 21565, Republic of Korea
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8
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Fotie J. Editorial for the Special Issue "Advances in the Development of Anticancer Drugs". Int J Mol Sci 2024; 25:641. [PMID: 38203815 PMCID: PMC10779347 DOI: 10.3390/ijms25010641] [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: 12/29/2023] [Accepted: 01/03/2024] [Indexed: 01/12/2024] Open
Abstract
As mortality rates for other leading causes of death, such as stroke and coronary heart disease, decline in many parts of the world, cancer is becoming the leading cause of death worldwide, with the number of yearly new cases expected to rise to about 30 million by 2040 [...].
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Affiliation(s)
- Jean Fotie
- Department of Chemistry and Physics, Southeastern Louisiana University, Hammond, LA 70402-0878, USA
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Alipourgivi F, Motolani A, Qiu AY, Qiang W, Yang GY, Chen S, Lu T. Genetic Alterations of NF-κB and Its Regulators: A Rich Platform to Advance Colorectal Cancer Diagnosis and Treatment. Int J Mol Sci 2023; 25:154. [PMID: 38203325 PMCID: PMC10779007 DOI: 10.3390/ijms25010154] [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: 10/04/2023] [Revised: 12/06/2023] [Accepted: 12/11/2023] [Indexed: 01/12/2024] Open
Abstract
Colorectal cancer (CRC) is the third leading cause of cancer mortality in the United States, with an estimated 52,000 deaths in 2023. Though significant progress has been made in both diagnosis and treatment of CRC in recent years, genetic heterogeneity of CRC-the culprit for possible CRC relapse and drug resistance, is still an insurmountable challenge. Thus, developing more effective therapeutics to overcome this challenge in new CRC treatment strategies is imperative. Genetic and epigenetic changes are well recognized to be responsible for the stepwise development of CRC malignancy. In this review, we focus on detailed genetic alteration information about the nuclear factor (NF)-κB signaling, including both NF-κB family members, and their regulators, such as protein arginine methyltransferase 5 (PRMT5), and outer dynein arm docking complex subunit 2 (ODAD2, also named armadillo repeat-containing 4, ARMC4), etc., in CRC patients. Moreover, we provide deep insight into different CRC research models, with a particular focus on patient-derived xenografts (PDX) and organoid models, and their potential applications in CRC research. Genetic alterations on NF-κB signaling components are estimated to be more than 50% of the overall genetic changes identified in CRC patients collected by cBioportal for Cancer Genomics; thus, emphasizing its paramount importance in CRC progression. Consequently, various genetic alterations on NF-κB signaling may hold great promise for novel therapeutic development in CRC. Future endeavors may focus on utilizing CRC models (e.g., PDX or organoids, or isogenic human embryonic stem cell (hESC)-derived colonic cells, or human pluripotent stem cells (hPSC)-derived colonic organoids, etc.) to further uncover the underpinning mechanism of these genetic alterations in NF-κB signaling in CRC progression. Moreover, establishing platforms for drug discovery in dishes, and developing Biobanks, etc., may further pave the way for the development of innovative personalized medicine to treat CRC in the future.
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Affiliation(s)
- Faranak Alipourgivi
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (F.A.); (A.M.)
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
| | - Aishat Motolani
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (F.A.); (A.M.)
| | - Alice Y. Qiu
- Center for Developmental Therapeutics, Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA; (A.Y.Q.); (W.Q.)
| | - Wenan Qiang
- Center for Developmental Therapeutics, Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA; (A.Y.Q.); (W.Q.)
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL 60611, USA;
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Guang-Yu Yang
- Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Chicago, IL 60611, USA;
- Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Shuibing Chen
- Department of Surgery, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA;
| | - Tao Lu
- Department of Pharmacology & Toxicology, Indiana University School of Medicine, Indianapolis, IN 46202, USA; (F.A.); (A.M.)
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
- Department of Biochemistry & Molecular Biology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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10
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Verschoor N, Smid M, Jager A, Sleijfer S, Wilting SM, Martens JWM. Integrative whole-genome and transcriptome analysis of HER2-amplified metastatic breast cancer. Breast Cancer Res 2023; 25:145. [PMID: 37968696 PMCID: PMC10648326 DOI: 10.1186/s13058-023-01743-z] [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: 08/21/2023] [Accepted: 11/06/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND In breast cancer, the advent of anti-HER2 therapies has made HER2+ tumors a highly relevant subgroup. However, the exact characteristics which prohibit clinical response to anti-HER2 therapies and drive disease progression are not yet fully known. Integrative whole-genome and transcriptomic sequencing data from both primary and metastatic HER2-positive breast cancer will enhance our understanding of underlying biological processes. METHODS Here, we used WGS and RNA sequencing data of 700 metastatic breast tumors, of which 68 being HER2+, to search for specific genomic features of HER2+ disease and therapy resistance. Furthermore, we integrated results with transcriptomic data to associate tumors exhibiting a HER2+-specific gene expression profile with ERBB2 mutation status, prior therapy and relevant gene expression signatures. RESULTS Overall genomic profiles of primary and metastatic HER2+ breast cancers were similar, and no specific acquired genomics traits connected to prior anti-HER2 treatment were observed. However, specific genomic features were predictive of progression-free survival on post-biopsy anti-HER2 treatment. Furthermore, a HER2-driven expression profile grouped HER2-amplified tumors with ERBB2-mutated cases and cases without HER2 alterations. The latter were reported as ER positive in primary disease, but the metastatic biopsy showed low ESR1 expression and upregulation of the MAPK pathway, suggesting transformation to ER independence. CONCLUSIONS In summary, although the quantity of variants increased throughout HER2-positive breast cancer progression, the genomic composition remained largely consistent, thus yielding no new major processes beside those already operational in primary disease. Our results suggest that integrated genomic and transcriptomic analyses may be key in establishing therapeutic options.
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Affiliation(s)
- Noortje Verschoor
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands.
| | - Marcel Smid
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Agnes Jager
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Stefan Sleijfer
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - Saskia M Wilting
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
| | - John W M Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Dr. Molewaterplein 40, 3015 GD, Rotterdam, The Netherlands
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11
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Yang J, Zhao S, Su J, Liu S, Wu Z, Ma W, Tang M, Wu J, Mao E, Han L, Liu M, Zhang J, Cao L, Shao J, Shang Y. Comprehensive genomic profiling reveals prognostic signatures and insights into the molecular landscape of colorectal cancer. Front Oncol 2023; 13:1285508. [PMID: 38023196 PMCID: PMC10680082 DOI: 10.3389/fonc.2023.1285508] [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: 08/30/2023] [Accepted: 10/26/2023] [Indexed: 12/01/2023] Open
Abstract
Background Colorectal cancer (CRC) is a prevalent malignancy with diverse molecular characteristics. The NGS-based approach enhances our comprehension of genomic landscape of CRC and may guide future advancements in precision oncology for CRC patients. Method In this research, we conducted an analysis using Next-Generation Sequencing (NGS) on samples collected from 111 individuals who had been diagnosed with CRC. We identified somatic and germline mutations and structural variants across the tumor genomes through comprehensive genomic profiling. Furthermore, we investigated the landscape of driver mutations and their potential clinical implications. Results Our findings underscore the intricate heterogeneity of genetic alterations within CRC. Notably, BRAF, ARID2, KMT2C, and GNAQ were associated with CRC prognosis. Patients harboring BRAF, ARID2, or KMT2C mutations exhibited shorter progression-free survival (PFS), whereas those with BRAF, ARID2, or GNAQ mutations experienced worse overall survival (OS). We unveiled 80 co-occurring and three mutually exclusive significant gene pairs, enriched primarily in pathways such as TP53, HIPPO, RTK/RAS, NOTCH, WNT, TGF-Beta, MYC, and PI3K. Notably, co-mutations of BRAF/ALK, BRAF/NOTCH2, BRAF/CREBBP, and BRAF/FAT1 correlated with worse PFS. Furthermore, germline AR mutations were identified in 37 (33.33%) CRC patients, and carriers of these variants displayed diminished PFS and OS. Decreased AR protein expression was observed in cases with AR germline mutations. A four-gene mutation signature was established, incorporating the aforementioned prognostic genes, which emerged as an independent prognostic determinant in CRC via univariate and multivariate Cox regression analyses. Noteworthy BRAF and ARID2 protein expression decreases detected in patients with their respective mutations. Conclusion The integration of our analyses furnishes crucial insights into CRC's molecular characteristics, drug responsiveness, and the construction of a four-gene mutation signature for predicting CRC prognosis.
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Affiliation(s)
- Jinwei Yang
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Sihui Zhao
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Junyan Su
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Siyao Liu
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Zaozao Wu
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Wei Ma
- Institute of Neuroscience, Kunming Medical University, Kunming, China
| | - Ming Tang
- Department of Pathology, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Jingcui Wu
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Erdong Mao
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Li Han
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Mengyuan Liu
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Jiali Zhang
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Lei Cao
- Department of Scientific Research Projects, Beijing ChosenMed Clinical Laboratory Co. Ltd., Beijing, China
| | - Jingyi Shao
- Department of Reproductive Medicine, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Yun Shang
- Second Department of General Surgery, The First People’s Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
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12
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Zhou H, Hao X, Zhang P, He S. Noncoding RNA mutations in cancer. WILEY INTERDISCIPLINARY REVIEWS. RNA 2023; 14:e1812. [PMID: 37544928 DOI: 10.1002/wrna.1812] [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: 12/03/2022] [Revised: 07/14/2023] [Accepted: 07/17/2023] [Indexed: 08/08/2023]
Abstract
Cancer is driven by both germline and somatic genetic changes. Efforts have been devoted to characterizing essential genetic variations in cancer initiation and development. Most attention has been given to mutations in protein-coding genes and associated regulatory elements such as promoters and enhancers. The development of sequencing technologies and in silico and experimental methods has allowed further exploration of cancer predisposition variants and important somatic mutations in noncoding RNAs, mainly for long noncoding RNAs and microRNAs. Association studies including GWAS have revealed hereditary variations including SNPs and indels in lncRNA or miRNA genes and regulatory regions. These mutations altered RNA secondary structures, expression levels, and target recognition and then conferred cancer predisposition to carriers. Whole-exome/genome sequencing comparing cancer and normal tissues has revealed important somatic mutations in noncoding RNA genes. Mutation hotspots and somatic copy number alterations have been identified in various tumor-associated noncoding RNAs. Increasing focus and effort have been devoted to studying the noncoding region of the genome. The complex genetic network of cancer initiation is being unveiled. This article is categorized under: RNA in Disease and Development > RNA in Disease.
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Affiliation(s)
- Honghong Zhou
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Xinpei Hao
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Peng Zhang
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Shunmin He
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
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13
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Ashekyan O, Shahbazyan N, Bareghamyan Y, Kudryavzeva A, Mandel D, Schmidt M, Loeffler-Wirth H, Uduman M, Chand D, Underwood D, Armen G, Arakelyan A, Nersisyan L, Binder H. Transcriptomic Maps of Colorectal Liver Metastasis: Machine Learning of Gene Activation Patterns and Epigenetic Trajectories in Support of Precision Medicine. Cancers (Basel) 2023; 15:3835. [PMID: 37568651 PMCID: PMC10417131 DOI: 10.3390/cancers15153835] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/13/2023] Open
Abstract
The molecular mechanisms of the liver metastasis of colorectal cancer (CRLM) remain poorly understood. Here, we applied machine learning and bioinformatics trajectory inference to analyze a gene expression dataset of CRLM. We studied the co-regulation patterns at the gene level, the potential paths of tumor development, their functional context, and their prognostic relevance. Our analysis confirmed the subtyping of five liver metastasis subtypes (LMS). We provide gene-marker signatures for each LMS, and a comprehensive functional characterization that considers both the hallmarks of cancer and the tumor microenvironment. The ordering of CRLMs along a pseudotime-tree revealed a continuous shift in expression programs, suggesting a developmental relationship between the subtypes. Notably, trajectory inference and personalized analysis discovered a range of epigenetic states that shape and guide metastasis progression. By constructing prognostic maps that divided the expression landscape into regions associated with favorable and unfavorable prognoses, we derived a prognostic expression score. This was associated with critical processes such as epithelial-mesenchymal transition, treatment resistance, and immune evasion. These factors were associated with responses to neoadjuvant treatment and the formation of an immuno-suppressive, mesenchymal state. Our machine learning-based molecular profiling provides an in-depth characterization of CRLM heterogeneity with possible implications for treatment and personalized diagnostics.
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Affiliation(s)
- Ohanes Ashekyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Nerses Shahbazyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Yeva Bareghamyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Anna Kudryavzeva
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Daria Mandel
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Maria Schmidt
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
| | - Henry Loeffler-Wirth
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
| | - Mohamed Uduman
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Dhan Chand
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Dennis Underwood
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Garo Armen
- Agenus Inc., 3 Forbes Road, Lexington, MA 7305, USA; (M.U.); (D.C.); (D.U.); (G.A.)
| | - Arsen Arakelyan
- Institute of Molecular Biology of the National Academy of Sciences of the Republic of Armenia, 7 Has-Ratyan Str., Yerevan 0014, Armenia;
| | - Lilit Nersisyan
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
| | - Hans Binder
- Armenian Bioinformatics Institute, 3/6 Nelson Stepanyan Str., Yerevan 0062, Armenia; (O.A.); (N.S.); (Y.B.); (A.K.); (D.M.); (L.N.)
- IZBI, Interdisciplinary Centre for Bioinformatics, Universität Leipzig, Härtelstr. 16–18, 04107 Leipzig, Germany; (M.S.); (H.L.-W.)
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14
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Yang G, Yu XR, Weisenberger DJ, Lu T, Liang G. A Multi-Omics Overview of Colorectal Cancer to Address Mechanisms of Disease, Metastasis, Patient Disparities and Outcomes. Cancers (Basel) 2023; 15:cancers15112934. [PMID: 37296894 DOI: 10.3390/cancers15112934] [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: 04/09/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Human colorectal cancer (CRC) is one of the most common malignancies in men and women across the globe, albeit CRC incidence and mortality shows a substantial racial and ethnic disparity, with the highest burden in African American patients. Even with effective screening tools such as colonoscopy and diagnostic detection assays, CRC remains a substantial health burden. In addition, primary tumors located in the proximal (right) or distal (left) sides of the colorectum have been shown to be unique tumor types that require unique treatment schema. Distal metastases in the liver and other organ systems are the major causes of mortality in CRC patients. Characterizing genomic, epigenomic, transcriptomic and proteomic (multi-omics) alterations has led to a better understanding of primary tumor biology, resulting in targeted therapeutic advancements. In this regard, molecular-based CRC subgroups have been developed that show correlations with patient outcomes. Molecular characterization of CRC metastases has highlighted similarities and differences between metastases and primary tumors; however, our understanding as to how to improve patient outcomes based on metastasis biology is lagging and remains a major obstacle to improving CRC patient outcomes. In this review, we will summarize the multi-omics features of primary CRC tumors and their metastases across racial and ethnic groups, the differences in proximal and distal tumor biology, molecular-based CRC subgroups, treatment strategies and challenges for improving patient outcomes.
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Affiliation(s)
- Guang Yang
- School of Sciences, China Pharmaceutical University, Nanjing 211121, China
- China Grand Enterprises, Beijing 100101, China
| | - Xi Richard Yu
- China Grand Enterprises, Beijing 100101, China
- Huadong Medicine Co., Ltd., Hangzhou 310011, China
| | - Daniel J Weisenberger
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tao Lu
- School of Sciences, China Pharmaceutical University, Nanjing 211121, China
- State Key Laboratory of Natural Sciences, China Pharmaceutical University, Nanjing 211121, China
| | - Gangning Liang
- USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
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15
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Hachey SJ, Sobrino A, Lee JG, Jafari MD, Klempner SJ, Puttock EJ, Edwards RA, Lowengrub JS, Waterman ML, Zell JA, Hughes CCW. A human vascularized microtumor model of patient-derived colorectal cancer recapitulates clinical disease. Transl Res 2023; 255:97-108. [PMID: 36481562 PMCID: PMC10593408 DOI: 10.1016/j.trsl.2022.11.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 11/07/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022]
Abstract
Accurately modeling tumor biology and testing novel therapies on patient-derived cells is critically important to developing therapeutic regimens personalized to a patient's specific disease. The vascularized microtumor (VMT), or "tumor-on-a-chip," is a physiologic preclinical cancer model that incorporates key features of the native human tumor microenvironment within a transparent microfluidic platform, allowing rapid drug screening in vitro. Herein we optimize methods for generating patient-derived VMT (pVMT) using fresh colorectal cancer (CRC) biopsies and surgical resections to test drug sensitivities at the individual patient level. In response to standard chemotherapy and TGF-βR1 inhibition, we observe heterogeneous responses between pVMT derived from 6 patient biopsies, with the pVMT recapitulating tumor growth, histological features, metabolic heterogeneity, and drug responses of actual CRC tumors. Our results suggest that a translational infrastructure providing rapid information from patient-derived tumor cells in the pVMT, as established in this study, will support efforts to improve patient outcomes.
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Affiliation(s)
- Stephanie J Hachey
- Irvine Department of Molecular Biology and Biochemistry, University of California, Irvine, California
| | - Agua Sobrino
- Irvine Department of Molecular Biology and Biochemistry, University of California, Irvine, California
| | - John G Lee
- Irvine School of Medicine, University of California, Irvine, California
| | | | | | - Eric J Puttock
- Irvine Department of Mathematics, University of California, Irvine, California
| | - Robert A Edwards
- Irvine School of Medicine, University of California, Irvine, California
| | - John S Lowengrub
- Irvine Department of Mathematics, University of California, Irvine, California
| | - Marian L Waterman
- Irvine Department of Microbiology and Molecular Genetics, University of California, Irvine, California
| | - Jason A Zell
- Irvine School of Medicine, University of California, Irvine, California
| | - Christopher C W Hughes
- Irvine Department of Molecular Biology and Biochemistry, University of California, Irvine, California; Irvine Department of Biomedical Engineering, University of California, Irvine, California.
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16
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Zhang Y, Wang Y, Zhang B, Li P, Zhao Y. Methods and biomarkers for early detection, prediction, and diagnosis of colorectal cancer. Biomed Pharmacother 2023; 163:114786. [PMID: 37119736 DOI: 10.1016/j.biopha.2023.114786] [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: 02/22/2023] [Revised: 04/17/2023] [Accepted: 04/24/2023] [Indexed: 05/01/2023] Open
Abstract
Colorectal cancer (CRC) is one of the most common digestive diseases worldwide. It has steadily ascended to the top three cancers in terms of incidence and mortality. The primary cause is the inability to diagnose it at an early stage. Therefore, early detection and diagnosis are essential for colorectal cancer prevention. Although there are now various methods for CRC early detection, in addition to recent developments in surgical and multimodal therapy, the poor prognosis and late detection of CRC still remain significant. Thus, it is important to investigate novel technologies and biomarkers to improve the sensitization and specification of CRC diagnosis. Here, we present some common methods and biomarkers for early detection and diagnosis of CRC, we hope this review will encourage the adoption of screening programs and the clinical use of these potential molecules as biomarkers for CRC early detection and prognosis.
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Affiliation(s)
- Yue Zhang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao 266021, China
| | - Yin Wang
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao 266021, China; Key Laboratory of Birth Regulation and Control Technology of National Health Commission of China, Maternal and Child Health Care Hospital of Shandong Province affiliated to Qingdao University, Shandong Province, China
| | - Bingqiang Zhang
- Key Laboratory of Cancer and Immune Cells of Qingdao, Qingdao 266021, China
| | - Peifeng Li
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao 266021, China.
| | - Yi Zhao
- Institute for Translational Medicine, The Affiliated Hospital of Qingdao University, College of Medicine, Qingdao University, Qingdao 266021, China.
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17
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Tsai PC, Lee TH, Kuo KC, Su FY, Lee TLM, Marostica E, Ugai T, Zhao M, Lau MC, Väyrynen JP, Giannakis M, Takashima Y, Kahaki SM, Wu K, Song M, Meyerhardt JA, Chan AT, Chiang JH, Nowak J, Ogino S, Yu KH. Histopathology images predict multi-omics aberrations and prognoses in colorectal cancer patients. Nat Commun 2023; 14:2102. [PMID: 37055393 PMCID: PMC10102208 DOI: 10.1038/s41467-023-37179-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 03/03/2023] [Indexed: 04/15/2023] Open
Abstract
Histopathologic assessment is indispensable for diagnosing colorectal cancer (CRC). However, manual evaluation of the diseased tissues under the microscope cannot reliably inform patient prognosis or genomic variations crucial for treatment selections. To address these challenges, we develop the Multi-omics Multi-cohort Assessment (MOMA) platform, an explainable machine learning approach, to systematically identify and interpret the relationship between patients' histologic patterns, multi-omics, and clinical profiles in three large patient cohorts (n = 1888). MOMA successfully predicts the overall survival, disease-free survival (log-rank test P-value<0.05), and copy number alterations of CRC patients. In addition, our approaches identify interpretable pathology patterns predictive of gene expression profiles, microsatellite instability status, and clinically actionable genetic alterations. We show that MOMA models are generalizable to multiple patient populations with different demographic compositions and pathology images collected from distinctive digitization methods. Our machine learning approaches provide clinically actionable predictions that could inform treatments for colorectal cancer patients.
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Affiliation(s)
- Pei-Chen Tsai
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan ROC
| | - Tsung-Hua Lee
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan ROC
| | - Kun-Chi Kuo
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan ROC
| | - Fang-Yi Su
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan ROC
| | - Tsung-Lu Michael Lee
- Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan ROC
| | - Eliana Marostica
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Health Sciences and Technology, Harvard-Massachusetts Institute of Technology, Boston, MA, USA
| | - Tomotaka Ugai
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Melissa Zhao
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Mai Chan Lau
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Juha P Väyrynen
- Cancer and Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Marios Giannakis
- Department of Medicine, Dana Farber Cancer Institute, Boston, MA, USA
| | | | | | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Andrew T Chan
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jung-Hsien Chiang
- Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan ROC.
| | - Jonathan Nowak
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kun-Hsing Yu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA.
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18
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Shin AE, Giancotti FG, Rustgi AK. Metastatic colorectal cancer: mechanisms and emerging therapeutics. Trends Pharmacol Sci 2023; 44:222-236. [PMID: 36828759 PMCID: PMC10365888 DOI: 10.1016/j.tips.2023.01.003] [Citation(s) in RCA: 52] [Impact Index Per Article: 52.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 01/20/2023] [Accepted: 01/25/2023] [Indexed: 02/25/2023]
Abstract
Metastatic colorectal cancer (mCRC) remains a lethal disease with an approximately 14% 5-year survival rate. While early-stage colorectal cancer (CRC) can be cured by surgery with or without adjuvant chemotherapy, mCRC cannot be eradicated due to a large burden of disseminated cancer cells comprising therapy-resistant metastasis-competent cells. To address this gap, recent studies have focused on further elucidating the molecular mechanisms underlying colorectal metastasis and recognizing the limitations of available therapeutic interventions. In this review, we discuss newfound factors that regulate CRC cell dissemination and colonization of distant organs, such as genetic mutations, identification of metastasis-initiating cells (MICs), epithelial-mesenchymal transition (EMT), and the tumor microenvironment (TME). We also review current treatments for mCRC, therapeutic regimens undergoing clinical trials, and trending preclinical studies being investigated to target treatment-resistant mCRC.
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Affiliation(s)
- Alice E Shin
- Herbert Irving Comprehensive Cancer Center, Division of Digestive and Liver Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA
| | - Filippo G Giancotti
- Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA; Department of Genetics and Development, Columbia University Irving Medical Center, New York, NY, USA
| | - Anil K Rustgi
- Herbert Irving Comprehensive Cancer Center, Division of Digestive and Liver Diseases, Department of Medicine, Columbia University Irving Medical Center, New York, NY, USA; Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
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19
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Shen M, Kang Y. Cancer fitness genes: emerging therapeutic targets for metastasis. Trends Cancer 2023; 9:69-82. [PMID: 36184492 DOI: 10.1016/j.trecan.2022.08.007] [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: 07/07/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 12/31/2022]
Abstract
Development of cancer therapeutics has traditionally focused on targeting driver oncogenes. Such an approach is limited by toxicity to normal tissues and treatment resistance. A class of 'cancer fitness genes' with crucial roles in metastasis have been identified. Elevated or altered activities of these genes do not directly cause cancer; instead, they relieve the stresses that tumor cells encounter and help them adapt to a changing microenvironment, thus facilitating tumor progression and metastasis. Importantly, as normal cells do not experience high levels of stress under physiological conditions, targeting cancer fitness genes is less likely to cause toxicity to noncancerous tissues. Here, we summarize the key features and function of cancer fitness genes and discuss their therapeutic potential.
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Affiliation(s)
- Minhong Shen
- Department of Pharmacology, Wayne State University School of Medicine, Michigan, MI, USA; Department of Oncology, Wayne State University School of Medicine and Tumor Biology and Microenvironment Research Program, Barbara Ann Karmanos Cancer Institute, Michigan, MI, USA.
| | - Yibin Kang
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA; Ludwig Institute for Cancer Research Princeton Branch, Princeton, NJ, USA.
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20
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Wu J, Zhang L, Kuchi A, Otohinoyi D, Hicks C. CpG Site-Based Signature Predicts Survival of Colorectal Cancer. Biomedicines 2022; 10:biomedicines10123163. [PMID: 36551919 PMCID: PMC9776399 DOI: 10.3390/biomedicines10123163] [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: 10/29/2022] [Revised: 11/26/2022] [Accepted: 11/28/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND A critical unmet medical need in clinical management of colorectal cancer (CRC) pivots around lack of noninvasive and or minimally invasive techniques for early diagnosis and prognostic prediction of clinical outcomes. Because DNA methylation can capture the regulatory landscape of tumors and can be measured in body fluids, it provides unparalleled opportunities for the discovery of early diagnostic and prognostics markers predictive of clinical outcomes. Here we investigated use of DNA methylation for the discovery of potential clinically actionable diagnostic and prognostic markers for predicting survival in CRC. METHODS We analyzed DNA methylation patterns between tumor and control samples to discover signatures of CpG sites and genes associated with CRC and predictive of survival. We conducted functional analysis to identify molecular networks and signaling pathways driving clinical outcomes. RESULTS We discovered a signature of aberrantly methylated genes associated with CRC and a signature of thirteen (13) CpG sites predictive of survival. We discovered molecular networks and signaling pathways enriched for CpG sites likely to drive clinical outcomes. CONCLUSIONS The investigation revealed that CpG sites can predict survival in CRC and that DNA methylation can capture the regulatory state of tumors through aberrantly methylated molecular networks and signaling pathways.
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Affiliation(s)
- Jiande Wu
- Department of Genetics and the Bioinformatics and Genomics Program, School of Medicine, Louisiana State University Health Sciences Center, Bolivar 533, New Orleans, LA 70112, USA
| | - Lu Zhang
- Department of Public Health Sciences, Clemson University, Clemson, SC 29634, USA
| | - Aditi Kuchi
- Department of Genetics and the Bioinformatics and Genomics Program, School of Medicine, Louisiana State University Health Sciences Center, Bolivar 533, New Orleans, LA 70112, USA
| | - David Otohinoyi
- Department of Genetics and the Bioinformatics and Genomics Program, School of Medicine, Louisiana State University Health Sciences Center, Bolivar 533, New Orleans, LA 70112, USA
| | - Chindo Hicks
- Department of Genetics and the Bioinformatics and Genomics Program, School of Medicine, Louisiana State University Health Sciences Center, Bolivar 533, New Orleans, LA 70112, USA
- Correspondence:
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21
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Mutational Status of SMAD4 and FBXW7 Affects Clinical Outcome in TP53-Mutated Metastatic Colorectal Cancer. Cancers (Basel) 2022; 14:cancers14235921. [PMID: 36497403 PMCID: PMC9735648 DOI: 10.3390/cancers14235921] [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: 09/07/2022] [Revised: 10/28/2022] [Accepted: 11/21/2022] [Indexed: 12/02/2022] Open
Abstract
Next-generation sequencing (NGS) provides a molecular rationale to inform prognostic stratification and to guide personalized treatment in cancer patients. Here, we determined the prognostic and predictive value of actionable mutated genes in metastatic colorectal cancer (mCRC). Among a total of 294 mCRC tumors examined by targeted NGS, 200 of them derived from patients treated with first-line chemotherapy plus/minus monoclonal antibodies were included in prognostic analyses. Discriminative performance was assessed by time-dependent estimates of the area under the curve (AUC). The most recurrently mutated genes were TP53 (64%), KRAS or NRAS (49%), PIK3CA (15%), SMAD4 (14%), BRAF (13%), and FBXW7 (9.5%). Mutations in FBXW7 correlated with worse OS rates (p = 0.036; HR, 2.24) independently of clinical factors. Concurrent mutations in TP53 and FBXW7 were associated with increased risk of death (p = 0.02; HR, 3.31) as well as double-mutated TP53 and SMAD4 (p = 0.03; HR, 2.91). Analysis of the MSK-IMPACT mCRC cohort (N = 1095 patients) confirmed the same prognostic trend for the previously identified mutated genes. Addition of the mutational status of these genes upon clinical factors resulted in a time-dependent AUC of 87%. Gene set enrichment analysis revealed specific molecular pathways associated with SMAD4 and FBXW7 mutations in TP53-defficient tumors. Conclusively, SMAD4 and FBXW7 mutations in TP53-altered tumors were predictive of a negative prognostic outcome in mCRC patients treated with first-line regimens.
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22
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Muñoz-Barrera A, Rubio-Rodríguez LA, Díaz-de Usera A, Jáspez D, Lorenzo-Salazar JM, González-Montelongo R, García-Olivares V, Flores C. From Samples to Germline and Somatic Sequence Variation: A Focus on Next-Generation Sequencing in Melanoma Research. Life (Basel) 2022; 12:1939. [PMID: 36431075 PMCID: PMC9695713 DOI: 10.3390/life12111939] [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: 10/28/2022] [Revised: 11/12/2022] [Accepted: 11/16/2022] [Indexed: 11/24/2022] Open
Abstract
Next-generation sequencing (NGS) applications have flourished in the last decade, permitting the identification of cancer driver genes and profoundly expanding the possibilities of genomic studies of cancer, including melanoma. Here we aimed to present a technical review across many of the methodological approaches brought by the use of NGS applications with a focus on assessing germline and somatic sequence variation. We provide cautionary notes and discuss key technical details involved in library preparation, the most common problems with the samples, and guidance to circumvent them. We also provide an overview of the sequence-based methods for cancer genomics, exposing the pros and cons of targeted sequencing vs. exome or whole-genome sequencing (WGS), the fundamentals of the most common commercial platforms, and a comparison of throughputs and key applications. Details of the steps and the main software involved in the bioinformatics processing of the sequencing results, from preprocessing to variant prioritization and filtering, are also provided in the context of the full spectrum of genetic variation (SNVs, indels, CNVs, structural variation, and gene fusions). Finally, we put the emphasis on selected bioinformatic pipelines behind (a) short-read WGS identification of small germline and somatic variants, (b) detection of gene fusions from transcriptomes, and (c) de novo assembly of genomes from long-read WGS data. Overall, we provide comprehensive guidance across the main methodological procedures involved in obtaining sequencing results for the most common short- and long-read NGS platforms, highlighting key applications in melanoma research.
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Affiliation(s)
- Adrián Muñoz-Barrera
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
| | - Luis A. Rubio-Rodríguez
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
| | - Ana Díaz-de Usera
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain
| | - David Jáspez
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
| | - José M. Lorenzo-Salazar
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
| | - Rafaela González-Montelongo
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
| | - Víctor García-Olivares
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
| | - Carlos Flores
- Genomics Division, Instituto Tecnológico y de Energías Renovables (ITER), 38600 Santa Cruz de Tenerife, Spain
- Research Unit, Hospital Universitario Nuestra Señora de Candelaria, 38010 Santa Cruz de Tenerife, Spain
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, 28029 Madrid, Spain
- Facultad de Ciencias de la Salud, Universidad Fernando de Pessoa Canarias, 35450 Las Palmas de Gran Canaria, Spain
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23
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Park IJ. Direction of diagnosis and treatment improvement in colorectal cancer. JOURNAL OF THE KOREAN MEDICAL ASSOCIATION 2022. [DOI: 10.5124/jkma.2022.65.9.540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Background: Cancer is a major public health problem and the leading cause of death in Korea since 2000. Colorectal cancer is the third leading cause of cancer-related death. Therefore, early detection through screening, surgical techniques improvement, anticancer drugs, adjuvant treatment, and medical resources advancement is important to reduce colorectal cancer-related mortality.Current Concepts: In Korea, the 5-year relative survival rate of patients with colorectal cancer is approximately mid-70%, which is superior to other developed countries, such as the United States, United Kingdom, and Japan, with 60% to 68% because of the well performed screening program and technical improvement. Efforts are underway to conduct active endoscopic treatment for early colorectal cancer and identify cases requiring surgery. Minimally invasive surgery has evolved beyond conventional applications into disease-specific methods, and the robotic system has an important role for evolvement. Performing metastatic colorectal cancer efforts is necessary to improve the survival rate through active surgical treatment and gene therapy.Discussion and Conclusion: Eventually, the role of the patient’s genetic information in diagnosing and treating colorectal cancer is expected to increase. In some cases, diagnosing colorectal cancer using a non-invasive method is already realized. Active surgical treatment based on personal characteristics contributes in improving the treatment outcomes for difficult-to-treat metastatic colorectal cancer. After the period of overall colorectal cancer treatment results improvement, we will undertake the precision treatment era.
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24
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He X, Wang Y, Zou C, Zheng C, Luo Y, Zhou Y, Tu C. Case Report: Gene Heterogeneity in the Recurrent and Metastatic Lesions of a Myxoid Chondrosarcoma Patient With Aggressive Transformation. Front Genet 2022; 13:791675. [PMID: 35910216 PMCID: PMC9330136 DOI: 10.3389/fgene.2022.791675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 06/23/2022] [Indexed: 11/29/2022] Open
Abstract
Extraskeletal myxoid chondrosarcoma (EMC) is a rare soft tissue sarcoma. In view of the indolent course throughout the prolonged natural history of EMC, it was considered as a low-grade soft-tissue sarcoma. However, recent studies have revealed a high recurrence and metastatic potential in EMC, and the invasiveness of EMC may progress during the protracted clinical course. The mechanism for this aggressive transformation remains unknown. Here, we present a rare case of EMC with aggressive behavior. This case was confirmed via pathology and NR4A3 fluorescent in situ hybridization. To verify the genetic characteristics of this rare case, a total gene sequencing analyses was performed in the recurrent and metastatic lesions. Intriguingly, different gene mutations were determined in the recurrent and metastatic lesions, which implied the genetic heterogeneity among the different lesions might be related to the aggressiveness of EMC. Furthermore, we discuss a few potential agents against the mutated genes in this case, which may provide novel insights regarding the targeted therapy of EMC.
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Affiliation(s)
- Xuanhong He
- Department of Orthopedics, Orthopedics Research Institute, West China Hospital, Sichuan University, Chengdu, China
- Bone and Joint 3D-Printing & Biomechanical Laboratory, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Yitian Wang
- Department of Orthopedics, Orthopedics Research Institute, West China Hospital, Sichuan University, Chengdu, China
- Bone and Joint 3D-Printing & Biomechanical Laboratory, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Chang Zou
- Department of Orthopedics, Orthopedics Research Institute, West China Hospital, Sichuan University, Chengdu, China
- Bone and Joint 3D-Printing & Biomechanical Laboratory, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Chuanxi Zheng
- Department of Orthopedics, Orthopedics Research Institute, West China Hospital, Sichuan University, Chengdu, China
- Bone and Joint 3D-Printing & Biomechanical Laboratory, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Luo
- Department of Orthopedics, Orthopedics Research Institute, West China Hospital, Sichuan University, Chengdu, China
- Bone and Joint 3D-Printing & Biomechanical Laboratory, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Zhou
- Department of Orthopedics, Orthopedics Research Institute, West China Hospital, Sichuan University, Chengdu, China
- Bone and Joint 3D-Printing & Biomechanical Laboratory, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Chongqi Tu
- Department of Orthopedics, Orthopedics Research Institute, West China Hospital, Sichuan University, Chengdu, China
- Bone and Joint 3D-Printing & Biomechanical Laboratory, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Chongqi Tu,
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25
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A multiplexed electrochemical quantitative polymerase chain reaction platform for single-base mutation analysis. Biosens Bioelectron 2022; 214:114496. [DOI: 10.1016/j.bios.2022.114496] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Revised: 06/19/2022] [Accepted: 06/20/2022] [Indexed: 11/17/2022]
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26
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Hu R, Chen X, Zhang S, Liu B, Pei H, Tu F, Liu J, Yu H. Plasma exosome-derived fragile site-associated tumor suppressor as a powerful prognostic predictor for patients with ovarian cancer. Bosn J Basic Med Sci 2022; 22:453-459. [PMID: 34491890 PMCID: PMC9162747 DOI: 10.17305/bjbms.2021.6404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 09/01/2021] [Indexed: 11/16/2022] Open
Abstract
The objective of the study was to investigate the levels of plasma exosome-derived fragile site-associated tumor suppressor (FATS) and evaluate its prognostic predictive ability in ovarian cancer (OC) patients. Exosome-rich fractions were isolated from the plasma of 90 patients with OC enrolled in this study. The levels of plasma exosome-derived FATS were detected by ELISA. The levels of exosome-derived FATS in OC patients were significantly lower as compared to the healthy controls (P < 0.001). The levels of plasma exosome-derived FATS were higher in OC patients with low grade (1/2), and Federation International of Gynecology and Obstetrics (FIGO) Stages I/II than those in high grade (3/4) and Stages III/IV of the disease (p = 0.003; p < 0.001), respectively. The levels of plasma exosome-derived FATS were significantly higher in OC patients with no lymph node metastasis or no ascites as compared to those with lymph node metastasis or ascites, respectively (both p < 0.001). The levels of plasma exosome-derived FATS were higher in OC patients having CA-125 below 35 U/ml as compared to those with CA-125 greater than 35 U/ml (p < 0.001). Among all enrolled OC patients, both 5-DFS and 5-OS were shorter in patients with lower plasma exosome-derived FATS levels than those with higher levels (both p < 0.001). The area under the receiver operating characteristic curve of plasma exosome-derived FATS was 0.85 (95% CI: 0.76-0.91) for 5-DFS and 0.91 (95% CI: 0.83-0.96) for 5-OS prediction in patients with OC. Plasma exosome-derived FATS levels in OC patients were significantly downregulated. Low levels of plasma exosome-derived FATS had a significant relationship with FIGO Stages III/IV, high grade, ascites, higher levels of CA-125, lymph node metastasis, and prognosis of OC patients. Thus, our findings may provide insights for the development of a new strategy OC treatment.
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Affiliation(s)
- Renjing Hu
- Department of Laboratory Medicine, Wuxi Second People’s Hospital, Jiangsu, China
| | - Xiaochun Chen
- Department of Laboratory Medicine, Taizhou Second People’s Hospital, Taizhou, Jiangsu, China
| | - Shiliang Zhang
- Department of Laboratory Medicine, Wuxi Fifth People’s Hospital, Jiangsu, China
| | - Bin Liu
- Department of Laboratory Medicine, Wuxi Fifth People’s Hospital, Jiangsu, China
| | - Hao Pei
- Department of Laboratory Medicine, Wuxi Fifth People’s Hospital, Jiangsu, China
| | - Fan Tu
- Department of Laboratory Medicine, Wuxi Fifth People’s Hospital, Jiangsu, China
| | - Jun Liu
- Department of Laboratory Medicine, Wuxi Fifth People’s Hospital, Jiangsu, China
| | - Hao Yu
- Department of Interventional Oncology, Wuxi Fifth People’s Hospital, Jiangsu, China
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27
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Lost by Transcription: Fork Failures, Elevated Expression, and Clinical Consequences Related to Deletions in Metastatic Colorectal Cancer. Int J Mol Sci 2022; 23:ijms23095080. [PMID: 35563471 PMCID: PMC9102808 DOI: 10.3390/ijms23095080] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 02/01/2023] Open
Abstract
Among the structural variants observed in metastatic colorectal cancer (mCRC), deletions (DELs) show a size preference of ~10 kb-1 Mb and are often found in common fragile sites (CFSs). To gain more insight into the biology behind the occurrence of these specific DELs in mCRC, and their possible association with outcome, we here studied them in detail in metastatic lesions of 429 CRC patients using available whole-genome sequencing and corresponding RNA-seq data. Breakpoints of DELs within CFSs are significantly more often located between two consecutive replication origins compared to DELs outside CFSs. DELs are more frequently located at the midpoint of genes inside CFSs with duplications (DUPs) at the flanks of the genes. The median expression of genes inside CFSs was significantly higher than those of similarly-sized genes outside CFSs. Patients with high numbers of these specific DELs showed a shorter progression-free survival time on platinum-containing therapy. Taken together, we propose that the observed DEL/DUP patterns in expressed genes located in CFSs are consistent with a model of transcription-dependent double-fork failure, and, importantly, that the ability to overcome the resulting stalled replication forks decreases sensitivity to platinum-containing treatment, known to induce stalled replication forks as well. Therefore, we propose that our DEL score can be used as predictive biomarker for decreased sensitivity to platinum-containing treatment, which, upon validation, may augment future therapeutic choices.
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28
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Kishigami F, Tanaka Y, Yamamoto Y, Ueno T, Kojima S, Sato K, Inoue S, Sugaya S, Ishihara S, Mano H, Kawazu M. Exploration of predictive biomarkers for postoperative recurrence of stage II/III colorectal cancer using genomic sequencing. Cancer Med 2022; 11:3457-3470. [PMID: 35343095 PMCID: PMC9487878 DOI: 10.1002/cam4.4710] [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: 10/19/2021] [Revised: 01/24/2022] [Accepted: 03/15/2022] [Indexed: 11/28/2022] Open
Abstract
Postoperative recurrence of colorectal cancer (CRC) eventually leads to therapeutic failure; therefore, treatment strategies based on accurate prediction of recurrence are urgently required. To identify biomarkers that can predict treatment outcomes, we compared the mutational profiles of surgically resected specimens from patients with recurrent cancer with those from patients with non‐recurrent cancer. Target sequencing, whole‐exome sequencing (WES), or whole‐genome sequencing (WGS) was performed on 89 and 58 tumors from recurrent and non‐recurrent cases, respectively. WGS revealed the driver mutations that were not detected with target sequencing or WES, including the structural variations affecting ZFP36L2. Loss of function of ZFP36L2 was frequently observed in primary tumors from recurrent cases. Furthermore, the recurrence‐free survival of patients with loss of function of ZFP36L2 was significantly shorter relative to patients with no loss of ZFP36L2 function. In summary, the study demonstrated that detailed genomic analysis could help improve precision medicine for CRC.
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Affiliation(s)
- Fumishi Kishigami
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.,Department of Surgical Oncology, The University of Tokyo, Tokyo, Japan
| | - Yosuke Tanaka
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Yoko Yamamoto
- Department of Surgical Oncology, The University of Tokyo, Tokyo, Japan
| | - Toshihide Ueno
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Shinya Kojima
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Kazuhito Sato
- Department of Surgical Oncology, The University of Tokyo, Tokyo, Japan
| | - Satoshi Inoue
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Saori Sugaya
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Soichiro Ishihara
- Department of Surgical Oncology, The University of Tokyo, Tokyo, Japan
| | - Hiroyuki Mano
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
| | - Masahito Kawazu
- Division of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan
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29
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Fan J, Bellon M, Ju M, Zhao L, Wei M, Fu L, Nicot C. Clinical significance of FBXW7 loss of function in human cancers. Mol Cancer 2022; 21:87. [PMID: 35346215 PMCID: PMC8962602 DOI: 10.1186/s12943-022-01548-2] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 02/22/2022] [Indexed: 12/13/2022] Open
Abstract
FBXW7 (F-Box and WD Repeat Domain Containing 7) (also referred to as FBW7 or hCDC4) is a component of the Skp1-Cdc53 / Cullin-F-box-protein complex (SCF/β-TrCP). As a member of the F-box protein family, FBXW7 serves a role in phosphorylation-dependent ubiquitination and proteasome degradation of oncoproteins that play critical role(s) in oncogenesis. FBXW7 affects many regulatory functions involved in cell survival, cell proliferation, tumor invasion, DNA damage repair, genomic instability and telomere biology. This thorough review of current literature details how FBXW7 expression and functions are regulated through multiple mechanisms and how that ultimately drives tumorigenesis in a wide array of cell types. The clinical significance of FBXW7 is highlighted by the fact that FBXW7 is frequently inactivated in human lung, colon, and hematopoietic cancers. The loss of FBXW7 can serve as an independent prognostic marker and is significantly correlated with the resistance of tumor cells to chemotherapeutic agents and poorer disease outcomes. Recent evidence shows that genetic mutation of FBXW7 differentially affects the degradation of specific cellular targets resulting in a distinct and specific pattern of activation/inactivation of cell signaling pathways. The clinical significance of FBXW7 mutations in the context of tumor development, progression, and resistance to therapies as well as opportunities for targeted therapies is discussed.
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Affiliation(s)
- Jingyi Fan
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute; Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong Province, China.,Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.,Liaoning Province, China Liaoning Key Laboratory of Molecular Targeted Anti-Tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, Liaoning Province, China
| | - Marcia Bellon
- Department of Pathology and Laboratory Medicine, Center for Viral Pathogenesis, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA
| | - Mingyi Ju
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.,Liaoning Province, China Liaoning Key Laboratory of Molecular Targeted Anti-Tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, Liaoning Province, China
| | - Lin Zhao
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.,Liaoning Province, China Liaoning Key Laboratory of Molecular Targeted Anti-Tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, Liaoning Province, China
| | - Minjie Wei
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China.,Liaoning Province, China Liaoning Key Laboratory of Molecular Targeted Anti-Tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, Liaoning Province, China
| | - Liwu Fu
- State Key Laboratory of Oncology in South China; Collaborative Innovation Center for Cancer Medicine, Guangdong Esophageal Cancer Institute; Sun Yat-sen University Cancer Center, Guangzhou, 510060, Guangdong Province, China.
| | - Christophe Nicot
- Department of Pathology and Laboratory Medicine, Center for Viral Pathogenesis, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA.
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30
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Siesing C, Petersson A, Ulfarsdottir T, Chattopadhyay S, Nodin B, Eberhard J, Brändstedt J, Syk I, Gisselsson D, Jirström K. Delineating the intra-patient heterogeneity of molecular alterations in treatment-naïve colorectal cancer with peritoneal carcinomatosis. Mod Pathol 2022; 35:979-988. [PMID: 35169225 PMCID: PMC9249627 DOI: 10.1038/s41379-022-01012-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 12/27/2021] [Accepted: 01/03/2022] [Indexed: 12/12/2022]
Abstract
In a non-negligible number of patients with metastatic colorectal cancer (mCRC), the peritoneum is the predominant site of dissemination. Cure can be achieved by cytoreductive surgery (CRS) and hyperthermic intraperitoneal chemotherapy (HIPEC), but this procedure is associated with long-term morbidity and high relapse rates. Thus, there is a pressing need for improved therapeutic strategies and complementary biomarkers. The present study explored the molecular heterogeneity in mCRC with peritoneal carcinomatosis (PC), and the potential clinical implications thereof. Multi-region immunohistochemical profiling and deep targeted DNA-sequencing was performed on chemotherapy-naïve tumours from seven patients with synchronous colorectal PC who underwent CRS and HIPEC. In total, 88 samples (5-19 per patient) were analysed, representing primary tumour, lymph node metastases, tumour deposits, PC and liver metastases. Expression of special AT-rich sequence-binding protein 2 (SATB2), a marker of colorectal lineage, was lacking in the majority of cases, and a conspicuous intra-patient heterogeneity was denoted for expression of the proposed prognostic and predictive biomarker RNA-binding motif protein 3 (RBM3). Loss of mismatch repair proteins MLH1 and PSM2, observed in one case, was concordant with microsatellite instability and the highest tumour mutational burden. When present in a patient, mutations in key CRC driver genes, i.e., KRAS, APC and TP53, were homogenously distributed across all samples, while less common mutations were more heterogenous. On the same note, copy number variations showed intra-patient as well inter-patient heterogeneity. In two out of seven cases, hierarchical clustering revealed that samples from the PC and lymph node metastases were more similar to each other than to the primary tumour. In summary, these findings should encourage additional studies addressing the potential distinctiveness of mCRC with PC, which might pave the way for improved personalized treatment of these patients.
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Affiliation(s)
- Christina Siesing
- Division of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.
| | - Alexandra Petersson
- grid.4514.40000 0001 0930 2361Division of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Thora Ulfarsdottir
- grid.411843.b0000 0004 0623 9987Department of Oncology, Skåne University Hospital, Lund, Sweden
| | - Subhayan Chattopadhyay
- grid.4514.40000 0001 0930 2361Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Björn Nodin
- grid.4514.40000 0001 0930 2361Division of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Jakob Eberhard
- grid.4514.40000 0001 0930 2361Division of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Jenny Brändstedt
- grid.4514.40000 0001 0930 2361Division of Surgery, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Ingvar Syk
- grid.4514.40000 0001 0930 2361Division of Surgery, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - David Gisselsson
- grid.4514.40000 0001 0930 2361Division of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Karin Jirström
- grid.4514.40000 0001 0930 2361Division of Oncology and Therapeutic Pathology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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31
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Bonney GK, Chew CA, Lodge P, Hubbard J, Halazun KJ, Trunecka P, Muiesan P, Mirza DF, Isaac J, Laing RW, Iyer SG, Chee CE, Yong WP, Muthiah MD, Panaro F, Sanabria J, Grothey A, Moodley K, Chau I, Chan ACY, Wang CC, Menon K, Sapisochin G, Hagness M, Dueland S, Line PD, Adam R. Liver transplantation for non-resectable colorectal liver metastases: the International Hepato-Pancreato-Biliary Association consensus guidelines. Lancet Gastroenterol Hepatol 2021; 6:933-946. [PMID: 34506756 DOI: 10.1016/s2468-1253(21)00219-3] [Citation(s) in RCA: 58] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 12/13/2022]
Abstract
Colorectal cancer is a prevalent disease worldwide, with more than 50% of patients developing metastases to the liver. Despite advances in improving resectability, most patients present with non-resectable colorectal liver metastases requiring palliative systemic therapy and locoregional disease control strategies. There is a growing interest in the use of liver transplantation to treat non-resectable colorectal liver metastases in well selected patients, leading to a surge in the number of studies and prospective trials worldwide, thereby fuelling the emerging field of transplant oncology. The interdisciplinary nature of this field requires domain-specific evidence and expertise to be drawn from multiple clinical specialities and the basic sciences. Importantly, the wider societal implication of liver transplantation for non-resectable colorectal liver metastases, such as the effect on the allocation of resources and national transplant waitlists, should be considered. To address the urgent need for a consensus approach, the International Hepato-Pancreato-Biliary Association commissioned the Liver Transplantation for Colorectal liver Metastases 2021 working group, consisting of international leaders in the areas of hepatobiliary surgery, colorectal oncology, liver transplantation, hepatology, and bioethics. The aim of this study was to standardise nomenclature and define management principles in five key domains: patient selection, evaluation of biological behaviour, graft selection, recipient considerations, and outcomes. An extensive literature review was done within the five domains identified. Between November, 2020, and January, 2021, a three-step modified Delphi consensus process was undertaken by the workgroup, who were further subgrouped into the Scientific Committee, Expert Panel, and Transplant Centre Representatives. A final consensus of 44 statements, standardised nomenclature, and a practical management algorithm is presented. Specific criteria for clinico-patho-radiological assessments with molecular profiling is crucial in this setting. After this, the careful evaluation of biological behaviour with bridging therapy to transplantation with an appropriate assessment of the response is required. The sequencing of treatment in synchronous metastatic disease requires special consideration and is highlighted here. Some ethical dilemmas within organ allocation for malignant indications are discussed and the role for extended criteria grafts, living donor transplantation, and machine perfusion technologies for non-resectable colorectal liver metastases are reviewed. Appropriate immunosuppressive regimens and strategies for the follow-up and treatment of recurrent disease are proposed. This consensus guideline provides a framework by which liver transplantation for non-resectable colorectal liver metastases might be safely instituted and is a meaningful step towards future evidenced-based practice for better patient selection and organ allocation to improve the survival for patients with this disease.
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Affiliation(s)
- Glenn K Bonney
- Division of Hepatobiliary and Pancreatic Surgery, National University Hospital, Singapore.
| | - Claire Alexandra Chew
- Division of Hepatobiliary and Pancreatic Surgery, National University Hospital, Singapore
| | - Peter Lodge
- Department of Transplantation and Hepatobiliary Surgery, Leeds Teaching Hospital NHS Trust, Leeds, UK
| | - Joleen Hubbard
- Department of Medical Oncology, Mayo Clinic, Rochester, MN, USA
| | - Karim J Halazun
- Division of Liver Transplantation and Hepato-Pancreato-Biliary Surgery, Department of Surgery, Weill Cornell Medicine, New York City, NY, USA
| | - Pavel Trunecka
- Department of Gastroenterology and Hepatology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Paolo Muiesan
- Department of Hepatobiliary Surgery, Careggi University Hospital, Florence, Italy
| | - Darius F Mirza
- Liver Unit, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - John Isaac
- Liver Unit, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Richard W Laing
- Liver Unit, Queen Elizabeth Hospital, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Shridhar Ganpathi Iyer
- Division of Hepatobiliary and Pancreatic Surgery, National University Hospital, Singapore
| | - Cheng Ean Chee
- Department of Haematology-Oncology, National University Cancer Institute, Singapore
| | - Wei Peng Yong
- Department of Haematology-Oncology, National University Cancer Institute, Singapore
| | - Mark Dhinesh Muthiah
- Division of Gastroenterology and Hepatology, National University Hospital, Singapore
| | - Fabrizio Panaro
- Division of Hepato-Pancreato-Biliary Surgery and Transplantation, Department of Surgery, Saint Eloi Hospital, Montpellier University Hospital-School of Medicine, Montpellier, France
| | - Juan Sanabria
- Department of Surgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Axel Grothey
- Department of Medical Oncology, West Cancer Center and Research Institute, Germantown, TN, USA
| | - Keymanthri Moodley
- The Centre of Medical Ethics and Law, Department of Medicine, Stellenbosch University, Stellenbosch, South Africa
| | - Ian Chau
- Department of Medicine, Royal Marsden Hospital, London, UK
| | - Albert C Y Chan
- Division of Liver Transplantation, Hepatobiliary & Pancreatic Surgery, Queen Mary Hospital, Hong Kong
| | - Chih Chi Wang
- Department of Surgery, Liver Transplantation Centre, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Krishna Menon
- Institute of Liver Studies, King's College Hospital, London, UK
| | - Gonzalo Sapisochin
- Abdominal Transplant and Hepato-Pancreato-Biliary Surgical Oncology, Multi-Organ Transplant Program, Division of General Surgery, University of Toronto, Toronto, ON, Canada
| | - Morten Hagness
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Svein Dueland
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway
| | - Pål-Dag Line
- Department of Transplantation Medicine, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - René Adam
- Hepato Biliary Surgery, Cancer and Transplantation Unit, AP-HP Paul Brousse Hospital, University Paris-Saclay, Villejuif, France
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Koh G, Degasperi A, Zou X, Momen S, Nik-Zainal S. Mutational signatures: emerging concepts, caveats and clinical applications. Nat Rev Cancer 2021; 21:619-637. [PMID: 34316057 DOI: 10.1038/s41568-021-00377-7] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/08/2021] [Indexed: 02/05/2023]
Abstract
Whole-genome sequencing has brought the cancer genomics community into new territory. Thanks to the sheer power provided by the thousands of mutations present in each patient's cancer, we have been able to discern generic patterns of mutations, termed 'mutational signatures', that arise during tumorigenesis. These mutational signatures provide new insights into the causes of individual cancers, revealing both endogenous and exogenous factors that have influenced cancer development. This Review brings readers up to date in a field that is expanding in computational, experimental and clinical directions. We focus on recent conceptual advances, underscoring some of the caveats associated with using the mutational signature frameworks and highlighting the latest experimental insights. We conclude by bringing attention to areas that are likely to see advancements in clinical applications.
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Affiliation(s)
- Gene Koh
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Andrea Degasperi
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Xueqing Zou
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Sophie Momen
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Serena Nik-Zainal
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
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Marongiu L, Allgayer H. Viruses in colorectal cancer. Mol Oncol 2021; 16:1423-1450. [PMID: 34514694 PMCID: PMC8978519 DOI: 10.1002/1878-0261.13100] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 07/15/2021] [Accepted: 09/10/2021] [Indexed: 12/23/2022] Open
Abstract
Increasing evidence suggests that microorganisms might represent at least highly interesting cofactors in colorectal cancer (CRC) oncogenesis and progression. Still, associated mechanisms, specifically in colonocytes and their microenvironmental interactions, are still poorly understood. Although, currently, at least seven viruses are being recognized as human carcinogens, only three of these – Epstein–Barr virus (EBV), human papillomavirus (HPV) and John Cunningham virus (JCV) – have been described, with varying levels of evidence, in CRC. In addition, cytomegalovirus (CMV) has been associated with CRC in some publications, albeit not being a fully acknowledged oncovirus. Moreover, recent microbiome studies set increasing grounds for new hypotheses on bacteriophages as interesting additional modulators in CRC carcinogenesis and progression. The present Review summarizes how particular groups of viruses, including bacteriophages, affect cells and the cellular and microbial microenvironment, thereby putatively contributing to foster CRC. This could be achieved, for example, by promoting several processes – such as DNA damage, chromosomal instability, or molecular aspects of cell proliferation, CRC progression and metastasis – not necessarily by direct infection of epithelial cells only, but also by interaction with the microenvironment of infected cells. In this context, there are striking common features of EBV, CMV, HPV and JCV that are able to promote oncogenesis, in terms of establishing latent infections and affecting p53‐/pRb‐driven, epithelial–mesenchymal transition (EMT)‐/EGFR‐associated and especially Wnt/β‐catenin‐driven pathways. We speculate that, at least in part, such viral impacts on particular pathways might be reflected in lasting (e.g. mutational or further genomic) fingerprints of viruses in cells. Also, the complex interplay between several species within the intestinal microbiome, involving a direct or indirect impact on colorectal and microenvironmental cells but also between, for example, phages and bacterial and viral pathogens, and further novel species certainly might, in part, explain ongoing difficulties to establish unequivocal monocausal links between specific viral infections and CRC.
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Affiliation(s)
- Luigi Marongiu
- Department of Experimental Surgery - Cancer Metastasis, Medical Faculty Mannheim, Ruprecht-Karls-University of Heidelberg, Mannheim, Germany
| | - Heike Allgayer
- Department of Experimental Surgery - Cancer Metastasis, Medical Faculty Mannheim, Ruprecht-Karls-University of Heidelberg, Mannheim, Germany
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34
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Wang HW, Yan XL, Wang LJ, Zhang MH, Yang CH, Wei-Liu, Jin KM, Bao Q, Li J, Wang K, Xing BC. Characterization of genomic alterations in Chinese colorectal cancer patients with liver metastases. J Transl Med 2021; 19:313. [PMID: 34281583 PMCID: PMC8287676 DOI: 10.1186/s12967-021-02986-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 07/10/2021] [Indexed: 12/13/2022] Open
Abstract
Background The exploration of genomic alterations in Chinese colorectal liver metastasis (CRLM) is limited, and corresponding genetic biomarkers for patient’s perioperative management are still lacking. This study aims to understand genome diversification and complexity that developed in CRLM. Methods A custom-designed IDT capture panel including 620 genes was performed in the Chinese CRLM cohort, which included 396 tumor samples from metastatic liver lesions together with 133 available paired primary tumors. Results In this Chinese CRLM cohort, the top-ranked recurrent mutated genes were TP53 (324/396, 82%), APC (302/396, 76%), KRAS (166/396, 42%), SMAD4 (54/396, 14%), FLG (52/396, 13%) and FBXW7 (43/396, 11%). A comparison of CRLM samples derived from left- and right-sided primary lesions confirmed that the difference in survival for patients with different primary tumor sites could be driven by variations in the transforming growth factor β (TGF-β), phosphatidylinositol 3-kinase (PI3K) and RAS signaling pathways. Certain genes had a higher variant rate in samples with metachronous CRLM than in samples with simultaneous metastasis. Overall, the metastasis and primary tumor samples displayed highly consistent genomic alterations, but there were some differences between individually paired metastases and primary tumors, which were mainly caused by copy number variations. Conclusion We provide a comprehensive depiction of the genomic alterations in Chinese patients with CRLM, providing a fundamental basis for further personalized therapy applications. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-02986-0.
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Affiliation(s)
- Hong-Wei Wang
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Xiao-Luan Yan
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Li-Jun Wang
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Meng-Huan Zhang
- GloriousMed Clinical Laboratory (Shanghai) Co., Ltd, Shanghai, China
| | - Chun-He Yang
- GloriousMed Clinical Laboratory (Shanghai) Co., Ltd, Shanghai, China
| | - Wei-Liu
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Ke-Min Jin
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Quan Bao
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Juan Li
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Kun Wang
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China
| | - Bao-Cai Xing
- Hepatopancreatobiliary Surgery Department I, Key Laboratory of Carcinogenesis and Translational Research, Ministry of Education, Peking University School of Oncology, Beijing Cancer Hospital and Institute, Haidian District, Beijing, China.
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