Literature DB >> 32883331

Modeling tumor development and metastasis using paired organoids derived from patients with colorectal cancer liver metastases.

He Li1,2, Weixing Dai3,4, Xi Xia1, Renjie Wang3,4, Jing Zhao1,2, Lingyu Han3,4, Shaobo Mo3,4, Wenqiang Xiang3,4, Lin Du1, Guangya Zhu1, Jingjing Xie1, Jun Yu5, Nan Liu1, Mingzhu Huang6,7, Jidong Zhu8,9, Guoxiang Cai10,11.   

Abstract

Tumor metastasis accounts for the majority of cancer-related deaths; it is therefore important to develop preclinical models that faithfully recapitulate disease progression. Here, we generated paired organoids derived from primary tumors and matched liver metastases in the same colorectal cancer (CRC) patients. Despite the fact that paired organoids exhibit comparable gene expression and cell morphology, organoids from metastatic lesions demonstrate more aggressive phenotypes, tumorigenesis, and metastatic capacity than those from primary lesions. Transcriptional analyses of the paired organoids reveal signature genes and pathways altered during the progression of CRC, including SOX2. Further study shows that inducible knockdown of SOX2 attenuated invasion, proliferation, and liver metastasis outgrowth. Taken together, we use patient-derived paired primary and metastatic cancer organoids to model CRC metastasis and illustrate that SOX2 is associated with CRC progression and may serve as a potential prognostic biomarker and therapeutic target of CRC.

Entities:  

Keywords:  Colorectal cancer; Paired organoids; Preclinical model; SOX2; Tumor metastasis

Mesh:

Substances:

Year:  2020        PMID: 32883331      PMCID: PMC7650218          DOI: 10.1186/s13045-020-00957-4

Source DB:  PubMed          Journal:  J Hematol Oncol        ISSN: 1756-8722            Impact factor:   17.388


To the Editor, Tumor heterogeneity plays a key role in cancer progression and therapy resistance [1]. However, knowledge of how tumor heterogeneity arises and contributes to disease progression is still limited [2]. Recent advances in organoid culture have been successfully established in a variety of solid tumors [3-5]. Tumor organoids retain the histological complexity and genetic heterogeneity of parental tumors, even after many passages [6], providing a wide range of applications for cancer research. Organoids have enormous potential for the identification of optimal treatment strategies in individual patients [6]. For example, human CRC organoids derived from primary tumors [5] and liver metastases [7] have been reported as precision medical models for assessing drug responses. However, paired organoids have not been studied as a model for CRC progression. In the present study, we used paired organoids derived from primary and liver metastatic tumors of CRC patients to model cancer metastasis. Through in vitro and in vivo studies and transcriptional analyses of the paired organoids, we revealed key genes associated with CRC liver metastasis, which could be translated into therapeutic targets or prognostic biomarkers for disease treatment. A total of 24 organoids have been established (Table S1). The library contained 2-paired organoid lines from patients P13 and P21. Particularly, P13 carried two primary tumors. The 13a and 13b organoids were established from the primary tumor, while 13L organoid was established from a synchronous liver metastatic tumor. Organoids of 21a and 21L were established from primary tumor and synchronous liver metastasis of the patient P21, which data demonstrated in Additional files (Supplementary Table S1 and Fig. S1, S2, S4, and S5). Histopathological structures and the intestinal epithelial marker CDX2 of parental tumor were well preserved in organoids (Fig. S1). Invasion is a fundamental step in tumor progression toward metastasis. To study collective invasion, we cultured paired organoids in a 3D invasion matrix (Fig. 1a). Although we did not observe collective protrusive migration in organoids derived from primary lesions, metastatic organoids exhibited robust protrusive migration into 3D invasion matrix (Fig. 1b and Fig. S2A and B). Besides, the expression level of MMP-2 (matrix metalloproteinase 2) and Ki67 was significantly higher in metastatic organoids than that in the primary organoids (Fig. S2C-E). In subcutaneous xenotransplantation of paired organoids (Fig. 1c), the growth rate and volume of 13L organoids derived xenograft tumors was significantly higher than that of 13a and 13b organoids derived tumors (Fig. 1d and e). Furthermore, we successfully generated organoids from xenografts, histology, and Ki-67 expression analysis of xenografts, as well as organoids derived from these xenografts, demonstrated similarity to the original parental tumors (Fig. 1f and Fig. S2F). We next performed splenic injection of the paired organoids to assess the development of liver metastases (Fig. 1g). The 13L organoids formed macrometastatic tumors in the livers (Fig. 1h and i), whereas 13b organoids and 13a organoids failed to colonize and had a negative expression of Ki67 in the liver (Fig. S2G).
Fig. 1

Patient-derived paired organoids provide invasion and transplantable models for human CRC progression. a Schematic of 3D invasion assay using paired organoids. b Representative micrographs of organoids in 3D invasion assay. Tumor organoids showed the smooth and protrusive leading fronts, respectively. The scale bar represents 100 μm. c Schematic of the subcutaneous organoid injection. d Organoids were injected subcutaneously into the flank region of nude mice for 60 days. Tumor volumes were monitored over time (top). n = 5 mice per group. Error bars indicate SEMs. *p = 0.0146 (one-way ANOVA). e Tumor volume of the mice at day 60 after inoculation. Each dot indicates individual mice. n = 5 mice per group. Error bars indicate SEMs. *p = 0.0433, **p = 0.002 (one-way ANOVA). f Representative bright-field images of organoids together with H&E staining of xenografts generated from organoids, and organoids derived from the xenografts. The scale bar represents 100 μm. g Schematic of the hepatic metastasis assay by splenic organoid injection. h Representative macroscopic photographs of the whole liver. n = 5 mice per group. Top, scale bar of the whole liver represents 1 cm. Bottom, high magnification of inset. Scale bar, 5 mm. i Representative histopathology and Ki67 staining of liver metastatic lesions generated from splenic injection of 13L organoids. Top, the scale bar represents 100 μm; bottom, the scale bar represents 50 μm

Patient-derived paired organoids provide invasion and transplantable models for human CRC progression. a Schematic of 3D invasion assay using paired organoids. b Representative micrographs of organoids in 3D invasion assay. Tumor organoids showed the smooth and protrusive leading fronts, respectively. The scale bar represents 100 μm. c Schematic of the subcutaneous organoid injection. d Organoids were injected subcutaneously into the flank region of nude mice for 60 days. Tumor volumes were monitored over time (top). n = 5 mice per group. Error bars indicate SEMs. *p = 0.0146 (one-way ANOVA). e Tumor volume of the mice at day 60 after inoculation. Each dot indicates individual mice. n = 5 mice per group. Error bars indicate SEMs. *p = 0.0433, **p = 0.002 (one-way ANOVA). f Representative bright-field images of organoids together with H&E staining of xenografts generated from organoids, and organoids derived from the xenografts. The scale bar represents 100 μm. g Schematic of the hepatic metastasis assay by splenic organoid injection. h Representative macroscopic photographs of the whole liver. n = 5 mice per group. Top, scale bar of the whole liver represents 1 cm. Bottom, high magnification of inset. Scale bar, 5 mm. i Representative histopathology and Ki67 staining of liver metastatic lesions generated from splenic injection of 13L organoids. Top, the scale bar represents 100 μm; bottom, the scale bar represents 50 μm We then performed gene expression analysis in the paired organoids and tumor tissue from patient 13. There were 33 genes (P < 0.05; fold change > 2.5) that were significantly upregulated in metastatic organoids (Fig. 2a and Fig. S3A and B), including the transcription factor SOX2. Previous studies have shown that SOX2 plays critical roles in embryonic pluripotent stem cells [8] and that SOX2 is abnormally expressed in many types of cancer [9-12]. The differential expression of SOX2 in paired organoids was consistent with the RNA-seq data (Fig. 2b and c), and SOX2 was also highly expressed in the metastatic tissues (Fig. 2d), while relatively low expression in normal colon tissues (Fig. S3C-F). SOX2 is also highly expressed in metastatic organoids and tissues of the other paired organoids (Fig. S4A and B).
Fig. 2

SOX2 plays an important role in colorectal metastasis. a Hierarchical clustering heatmaps of the 33 significantly upregulated genes in 13L organoids. b qRT-PCR analysis of SOX2 in paired organoid lines. Values were normalized to mean levels in 13a organoids. Error bars indicate SEMs. **p = 0.0050, ****p < 0.0001 (one-way ANOVA). c Western blot analysis of the SOX2 protein expression in paired organoid lines. α-tubulin was used as a loading control. d Representative IHC sections for SOX2 in human colorectal tumor tissues and organoids. The scale bar represents 100 μm. e Representative micrographs of Dox-transduced the 13 L-shRNA-1/2 organoids after 5 days and stained with phalloidin–F-actin. The scale bar represents 100 μm. f Representative micrographs of colonies arising from the 13L-shRNA-1/2 organoids (top), with magnified insets showing colonies (bottom). The scale bar represents 200 μm. Colony forming efficiency in f was calculated and compared (right). Error bars indicate SEMs. **p = 0.0078, (two-way ANOVA). g Proliferation of the 13L-shRNA-1/2 organoids were examined by CTG cell viability assays following 3- or 5-days growth in the presence or absence of Dox. Error bars indicate SEMs. **p = 0.0019, ****p < 0.0001 (two-way ANOVA). h Representative macroscopic photographs (top) and histology sections (H&E, bottom) of the livers of NOD mice transplanted with the 13L-shRNA-1/2 organoids. Arrowheads, metastatic foci. n = 5 mice per group. Scale bars, 1 cm (top) and 4 mm (bottom). i Representative SOX2 immunostaining of liver metastases of the 13L-shRNA-1/2 organoids. Scale bars, 200 μm (top) and 100 μm (bottom)

SOX2 plays an important role in colorectal metastasis. a Hierarchical clustering heatmaps of the 33 significantly upregulated genes in 13L organoids. b qRT-PCR analysis of SOX2 in paired organoid lines. Values were normalized to mean levels in 13a organoids. Error bars indicate SEMs. **p = 0.0050, ****p < 0.0001 (one-way ANOVA). c Western blot analysis of the SOX2 protein expression in paired organoid lines. α-tubulin was used as a loading control. d Representative IHC sections for SOX2 in human colorectal tumor tissues and organoids. The scale bar represents 100 μm. e Representative micrographs of Dox-transduced the 13 L-shRNA-1/2 organoids after 5 days and stained with phalloidin–F-actin. The scale bar represents 100 μm. f Representative micrographs of colonies arising from the 13L-shRNA-1/2 organoids (top), with magnified insets showing colonies (bottom). The scale bar represents 200 μm. Colony forming efficiency in f was calculated and compared (right). Error bars indicate SEMs. **p = 0.0078, (two-way ANOVA). g Proliferation of the 13L-shRNA-1/2 organoids were examined by CTG cell viability assays following 3- or 5-days growth in the presence or absence of Dox. Error bars indicate SEMs. **p = 0.0019, ****p < 0.0001 (two-way ANOVA). h Representative macroscopic photographs (top) and histology sections (H&E, bottom) of the livers of NOD mice transplanted with the 13L-shRNA-1/2 organoids. Arrowheads, metastatic foci. n = 5 mice per group. Scale bars, 1 cm (top) and 4 mm (bottom). i Representative SOX2 immunostaining of liver metastases of the 13L-shRNA-1/2 organoids. Scale bars, 200 μm (top) and 100 μm (bottom) To investigate the role of SOX2 in CRC progression, doxycycline (Dox) inducible expression of shRNA targeting SOX2 was established in metastatic organoids (Fig. S4C and D). SOX2− organoids exhibited the reduced ability of invasion, colony-forming efficiency, and cell viability in metastatic organoid lines (Fig. 2e-g and Fig. S4E-G). Furthermore, the metastatic organoids efficiently formed large metastatic tumors in control groups (Dox untreated), whereas the SOX2− organoids showed no or few engraftments (Fig. 2h). The downregulation of SOX2 and Ki67 was further confirmed by immunohistochemistry (Fig. 2i and Fig. S4H). We then overexpressed SOX2 in primary organoids and found that organoids with overexpressed SOX2 exhibited increased ability of invasion and proliferation when compared with control organoids (Fig. S5). Taken together, these findings demonstrate that SOX2 expression is sufficient and necessary for CRC organoids to exhibit the metastatic potential. In summary, the present study highlights the potential of patient-derived paired primary and metastatic cancer organoids as an experimental model for investigating CRC progression. We identified a significantly dysregulated gene between paired organoids, SOX2, which could be a prognostic biomarker, and perhaps a potent therapeutic target in the treatment of CRC. Additional file 1: Supplementary Table S1. Summary of patient-derived CRC organoid lines and corresponding clinical data. Additional file 2: Supplementary Figures. Figure S1. Paired organoids derived from primary and metastatic CRC recapitulate the histopathological structure of parental tumor. A and B, Organoids architecture resembles parental tumor epithelium. Representative bright-field images of organoids together with H&E staining of parental tumors and patient-derived organoids. The scale bar represents 100 μm. C and D, Representative IHC sections for the intestinal epithelial marker CDX2. The scale bar represents 100 μm. Figure S2. Organoids derived from liver metastatic lesions exhibited the most aggressive phenotypes with significant high tumorigenic and metastatic potential. A, Representative micrographs of organoids in 3D invasion assay. Tumor organoids showed the smooth and protrusive leading fronts, respectively. B, Micrographs of the paired organoids stained with phalloidin–F-actin (right). The scale bar represents 100 μm. C, qRT-PCR analysis of MMP-2 in paired organoid lines. Error bars indicate SEMs. *P=0.0207, **P =0.0083, ***P=0.0008 (one-way ANOVA; left), ***P=0.0006 (Unpaired t test; right). D, Western blot analysis of the MMP-2 protein expression in paired organoid lines. α-tubulin was used as a loading control. E, Representative IHC sections for Ki67 in human colorectal tumor tissues and paired organoid lines. The scale bar represents 100 μm. F, Representative IHC sections for Ki67 in organoid xenografts and organoids derived from xenografts. The scale bar represents 100 μm. G, Representative gross image, histopathology and Ki67 staining of whole liver from primary organoid xenografts. The scale bar of the whole liver represents 1cm. The black scale bar represents 100 μm. Figure S3. A, Representation of the up-regulated genes in 13L organoids. Error bars indicate SEMs. *P = 0.0283, ***P = 0.0004, ****P < 0.0001 (one-way ANOVA). B, qRT-PCR analysis of the up-regulated genes in 13L organoids. Values were normalized to mean levels in 13a organoids. Error bars indicate SEMs. *P=0.02, ***P=0.0008 ****P < 0.0001 (one-way ANOVA). C, RNA sequencing analysis of SOX2 in human colorectal cancer tissues and normal colon tissues. D, qRT-PCR analysis of SOX2 in tumor tissues and paired normal colon tissues. Values were normalized to mean levels in normal colon tissues. Error bars indicate SEMs. **P = 0.0018, ****P < 0.0001 (one-way ANOVA). E, Western blot analysis of the SOX2 protein expression in tumor tissues and paired normal colon tissues. α-tubulin was used as a loading control. F, Representative IHC sections for SOX2 in human colorectal tumor tissues and paired normal colon tissues. The scale bar represents 100 μm. Figure S4. Silencing SOX2 in metastatic organoids attenuated cell invasion and proliferation and suppressed liver metastasis in vivo. A, qRT-PCR analysis of SOX2 in paired organoid lines (left). Values were normalized to mean levels in 21a organoids. Error bars indicate SEMs. ****P < 0.0001(Unpaired t test). Western blot analysis of the SOX2 protein expression in paired organoid lines. α-tubulin was used as a loading control (right). B, Representative IHC sections for SOX2 in human colorectal tumor tissues and organoids. The scale bar represents 100 μm. C, qRT-PCR analysis of SOX2 in the 13L-shRNA-1/2 (left) and 21L-shRNA-1/2 (right) organoids after 3 days of Dox-induction. The level of SOX2 was compared to that in the untreated sample. Error bars indicate SEMs. ***P=0.0001, ****P < 0.0001 (two-way ANOVA). D, Western blot analysis of the expression of SOX2 in the 13L-shRNA-1/2 and 21L-shRNA-1/2 organoids after 3 days of Dox-induction. α-tubulin was used as a loading control. E, Representative micrographs of Dox-transduced the 21L-shRNA-1/2 organoids after 5 days and stained with phalloidin–F-actin. The scale bar represents 100 μm. F, Proliferation of the 21L-shRNA-1/2 organoids were examined by CTG cell viability assays following 3- or 5-days growth in the presence or absence of Dox. Error bars indicate SEMs. **p=0.0019, ****P < 0.0001 (two-way ANOVA). G, Representative micrographs of colonies arising from the 21L-shRNA-1/2 organoids (top), with magnified insets showing colonies (bottom). The scale bar represents 200 μm. Colony forming efficiency in G was calculated and compared (right). Error bars indicate SEMs. **P=0.0015 (two-way ANOVA). H, Representative Ki67 immunostaining of liver metastases of the 13L-shRNA-1/2 organoids (left) and ratio of Ki67-positive tumor cells in liver metastases (right). Scale bars, 200 μm (top) and 100 μm (bottom). Each dot indicates individual mice. Error bars indicate SEMs. *p=0.0197, **P=0.0044 (two-way ANOVA). Figure S5. SOX2 is overexpressed in primary organoids. A, qRT-PCR analysis of SOX2 in primary organoid lines. Values were normalized to mean levels in control organoids. Error bars indicate SEMs. ****P < 0.0001 (one-way ANOVA). B, Western blot analysis of the SOX2 protein expression in primary organoid lines. α-tubulin was used as a loading control. C, Representative micrographs of colonies arising from the control, LV-Vector and LV-SOX2 primary organoid lines. The scale bar represents 200 μm. D-F, Colony forming efficiency in C was calculated and compared. Error bars indicate SEMs. ***P=0.0008, ****P < 0.0001 (one-way ANOVA). G, Proliferation of the control, LV-Vector and LV-SOX2 primary organoid lines were examined by CTG cell viability assays. Error bars indicate SEMs. ***P=0.0008, ****P < 0.0001 (one-way ANOVA). H, Representative micrographs of organoids in 3D invasion assay. Arrowheads, protrusive leading fronts. Micrographs of the paired organoids stained with phalloidin–F-actin. The scale bar represents 100 μm. Additional file 3. Supplementary Materials and Methods.
  12 in total

1.  A Living Biobank of Breast Cancer Organoids Captures Disease Heterogeneity.

Authors:  Norman Sachs; Joep de Ligt; Oded Kopper; Ewa Gogola; Gergana Bounova; Fleur Weeber; Anjali Vanita Balgobind; Karin Wind; Ana Gracanin; Harry Begthel; Jeroen Korving; Ruben van Boxtel; Alexandra Alves Duarte; Daphne Lelieveld; Arne van Hoeck; Robert Frans Ernst; Francis Blokzijl; Isaac Johannes Nijman; Marlous Hoogstraat; Marieke van de Ven; David Anthony Egan; Vittoria Zinzalla; Jurgen Moll; Sylvia Fernandez Boj; Emile Eugene Voest; Lodewyk Wessels; Paul Joannes van Diest; Sven Rottenberg; Robert Gerhardus Jacob Vries; Edwin Cuppen; Hans Clevers
Journal:  Cell       Date:  2017-12-07       Impact factor: 41.582

2.  Sox2 expression in breast tumours and activation in breast cancer stem cells.

Authors:  O Leis; A Eguiara; E Lopez-Arribillaga; M J Alberdi; S Hernandez-Garcia; K Elorriaga; A Pandiella; R Rezola; A G Martin
Journal:  Oncogene       Date:  2011-08-08       Impact factor: 9.867

Review 3.  The cancer genome.

Authors:  Michael R Stratton; Peter J Campbell; P Andrew Futreal
Journal:  Nature       Date:  2009-04-09       Impact factor: 49.962

4.  The emerging role of SOX2 in cell proliferation and survival and its crosstalk with oncogenic signaling in lung cancer.

Authors:  Yu-Ting Chou; Chih-Chan Lee; Shih-Hsin Hsiao; Sey-En Lin; Sheng-Chieh Lin; Chih-Hung Chung; Chi-Hsiu Chung; Yu-Rong Kao; Yuan-Hung Wang; Chien-Tsun Chen; Yau-Huei Wei; Cheng-Wen Wu
Journal:  Stem Cells       Date:  2013-12       Impact factor: 6.277

5.  Prospective derivation of a living organoid biobank of colorectal cancer patients.

Authors:  Marc van de Wetering; Hayley E Francies; Joshua M Francis; Gergana Bounova; Francesco Iorio; Apollo Pronk; Winan van Houdt; Joost van Gorp; Amaro Taylor-Weiner; Lennart Kester; Anne McLaren-Douglas; Joyce Blokker; Sridevi Jaksani; Sina Bartfeld; Richard Volckman; Peter van Sluis; Vivian S W Li; Sara Seepo; Chandra Sekhar Pedamallu; Kristian Cibulskis; Scott L Carter; Aaron McKenna; Michael S Lawrence; Lee Lichtenstein; Chip Stewart; Jan Koster; Rogier Versteeg; Alexander van Oudenaarden; Julio Saez-Rodriguez; Robert G J Vries; Gad Getz; Lodewyk Wessels; Michael R Stratton; Ultan McDermott; Matthew Meyerson; Mathew J Garnett; Hans Clevers
Journal:  Cell       Date:  2015-05-07       Impact factor: 41.582

6.  SOX2 expression correlates with lymph-node metastases and distant spread in right-sided colon cancer.

Authors:  Jens Neumann; Fiorina Bahr; David Horst; Lydia Kriegl; Jutta Engel; Raquel Mejias Luque; Markus Gerhard; Thomas Kirchner; Andreas Jung
Journal:  BMC Cancer       Date:  2011-12-14       Impact factor: 4.430

7.  Patient-derived organoids model treatment response of metastatic gastrointestinal cancers.

Authors:  Georgios Vlachogiannis; Somaieh Hedayat; Alexandra Vatsiou; Yann Jamin; Javier Fernández-Mateos; Khurum Khan; Andrea Lampis; Katherine Eason; Ian Huntingford; Rosemary Burke; Mihaela Rata; Dow-Mu Koh; Nina Tunariu; David Collins; Sanna Hulkki-Wilson; Chanthirika Ragulan; Inmaculada Spiteri; Sing Yu Moorcraft; Ian Chau; Sheela Rao; David Watkins; Nicos Fotiadis; Maria Bali; Mahnaz Darvish-Damavandi; Hazel Lote; Zakaria Eltahir; Elizabeth C Smyth; Ruwaida Begum; Paul A Clarke; Jens C Hahne; Mitchell Dowsett; Johann de Bono; Paul Workman; Anguraj Sadanandam; Matteo Fassan; Owen J Sansom; Suzanne Eccles; Naureen Starling; Chiara Braconi; Andrea Sottoriva; Simon P Robinson; David Cunningham; Nicola Valeri
Journal:  Science       Date:  2018-02-23       Impact factor: 47.728

8.  SOX2 expression is regulated by BRAF and contributes to poor patient prognosis in colorectal cancer.

Authors:  Ida V Lundberg; Anna Löfgren Burström; Sofia Edin; Vincy Eklöf; Åke Öberg; Roger Stenling; Richard Palmqvist; Maria L Wikberg
Journal:  PLoS One       Date:  2014-07-10       Impact factor: 3.240

9.  Human primary liver cancer-derived organoid cultures for disease modeling and drug screening.

Authors:  Laura Broutier; Gianmarco Mastrogiovanni; Monique Ma Verstegen; Hayley E Francies; Lena Morrill Gavarró; Charles R Bradshaw; George E Allen; Robert Arnes-Benito; Olga Sidorova; Marcia P Gaspersz; Nikitas Georgakopoulos; Bon-Kyoung Koo; Sabine Dietmann; Susan E Davies; Raaj K Praseedom; Ruby Lieshout; Jan N M IJzermans; Stephen J Wigmore; Kourosh Saeb-Parsy; Mathew J Garnett; Luc Jw van der Laan; Meritxell Huch
Journal:  Nat Med       Date:  2017-11-13       Impact factor: 53.440

10.  Multipotent cell lineages in early mouse development depend on SOX2 function.

Authors:  Ariel A Avilion; Silvia K Nicolis; Larysa H Pevny; Lidia Perez; Nigel Vivian; Robin Lovell-Badge
Journal:  Genes Dev       Date:  2003-01-01       Impact factor: 11.361

View more
  10 in total

1.  Functional metabolome profiling may improve individual outcomes in colorectal cancer management implementing concepts of predictive, preventive, and personalized medical approach.

Authors:  Yu Yuan; Chenxin Yang; Yingzhi Wang; Mingming Sun; Chenghao Bi; Sitong Sun; Guijiang Sun; Jingpeng Hao; Lingling Li; Changliang Shan; Shuai Zhang; Yubo Li
Journal:  EPMA J       Date:  2022-01-27       Impact factor: 6.543

2.  Application of artificial intelligence in a real-world research for predicting the risk of liver metastasis in T1 colorectal cancer.

Authors:  Tenghui Han; Jun Zhu; Xiaoping Chen; Rujie Chen; Yu Jiang; Shuai Wang; Dong Xu; Gang Shen; Jianyong Zheng; Chunsheng Xu
Journal:  Cancer Cell Int       Date:  2022-01-15       Impact factor: 5.722

Review 3.  Tumor organoids: synergistic applications, current challenges, and future prospects in cancer therapy.

Authors:  Jingjing Qu; Farhin Shaheed Kalyani; Li Liu; Tianli Cheng; Lijun Chen
Journal:  Cancer Commun (Lond)       Date:  2021-10-29

Review 4.  Application of Organoids in Carcinogenesis Modeling and Tumor Vaccination.

Authors:  Zeyu Wang; Shasha Zhao; Xiaolin Lin; Guanglong Chen; Jiawei Kang; Zhongping Ma; Yiming Wang; Zhi Li; Xiuying Xiao; Aina He; Dongxi Xiang
Journal:  Front Oncol       Date:  2022-03-17       Impact factor: 6.244

Review 5.  Tumor organoids: applications in cancer modeling and potentials in precision medicine.

Authors:  Hanxiao Xu; Dechao Jiao; Aiguo Liu; Kongming Wu
Journal:  J Hematol Oncol       Date:  2022-05-12       Impact factor: 23.168

Review 6.  Breast cancer metastasis: Is it a matter of OMICS and proper ex-vivo models?

Authors:  Mario Cioce; Andrea Sacconi; Sara Donzelli; Claudia Bonomo; Letizia Perracchio; Mariantonia Carosi; Stefano Telera; Vito Michele Fazio; Claudio Botti; Sabrina Strano; Giovanni Blandino
Journal:  Comput Struct Biotechnol J       Date:  2022-07-28       Impact factor: 6.155

Review 7.  Organoids as a Model for Precision Medicine in Malignant Pleural Mesothelioma: Where Are We Today?

Authors:  Yanyun Gao; Marianna Kruithof-de Julio; Ren-Wang Peng; Patrick Dorn
Journal:  Cancers (Basel)       Date:  2022-08-02       Impact factor: 6.575

Review 8.  Patient-derived cancer models: Valuable platforms for anticancer drug testing.

Authors:  Sofia Genta; Bryan Coburn; David W Cescon; Anna Spreafico
Journal:  Front Oncol       Date:  2022-08-12       Impact factor: 5.738

Review 9.  Applications of human organoids in the personalized treatment for digestive diseases.

Authors:  Qinying Wang; Fanying Guo; Yutao Jin; Yanlei Ma
Journal:  Signal Transduct Target Ther       Date:  2022-09-27

Review 10.  Application Progress of Organoids in Colorectal Cancer.

Authors:  Lianxiang Luo; Yucui Ma; Yilin Zheng; Jiating Su; Guoxin Huang
Journal:  Front Cell Dev Biol       Date:  2022-02-22
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.