Rectal cancer (RC) is a challenging disease to treat that requires chemotherapy, radiation and surgery to optimize outcomes for individual patients. No accurate model of RC exists to answer fundamental research questions relevant to patients. We established a biorepository of 65 patient-derived RC organoid cultures (tumoroids) from patients with primary, metastatic or recurrent disease. RC tumoroids retained molecular features of the tumors from which they were derived, and their ex vivo responses to clinically relevant chemotherapy and radiation treatment correlated with the clinical responses noted in individual patients’ tumors. Upon engraftment into murine rectal mucosa, human RC tumoroids gave rise to invasive RC followed by metastasis to lung and liver. Importantly, engrafted tumors displayed the heterogenous sensitivity to chemotherapy observed clinically. Thus, the biology and drug sensitivity of RC clinical isolates can be efficiently interrogated using an organoid-based, ex vivo platform coupled with in vivo endoluminal propagation in animals.
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The data that support the findings of this study are available from the corresponding authors upon reasonable request. The data for the RC tumoroids on the cBioPortal will be made publicly available on publication.
The FACETS algorithm was used to determine allele specific copy number and cancer cell fraction of each mutation in tumoroids and their respective tumors46. Access to this code is available upon reasonable request.
Siegel, R. L., Miller, K. D. & Jemal, A. Cancer statistics, 2019. Ca. Cancer J. Clin. 69, 7–34 (2019).
Benson, A.B. et al. NCCN Guidelines, Version 2.2019. Rectal Cancer. National Comprehensive Cancer Network (2019).
Smith, J. J. et al. Assessment of a watch-and-wait strategy for rectal cancer in patients with a complete response after neoadjuvant therapy. JAMA Oncol. 5, e185896 (2019).
van der Valk, M. J. M. et al. Long-term outcomes of clinical complete responders after neoadjuvant treatment for rectal cancer in the International Watch & Wait Database (IWWD): an international multicentre registry study. Lancet 391, 2537–2545 (2018).
Martens, M. H. et al. Long-term outcome of an organ preservation program after neoadjuvant treatment for rectal cancer. J. Natl Cancer Inst. 108, djw171 (2016).
Renehan, A. G. et al. Watch-and-wait approach versus surgical resection after chemoradiotherapy for patients with rectal cancer (the OnCoRe project): a propensity-score matched cohort analysis. Lancet Oncol. 17, 174–183 (2016).
Park, I. J. et al. Neoadjuvant treatment response as an early response indicator for patients with rectal cancer. J. Clin. Oncol. 30, 1770–1776 (2012).
Maas, M. et al. Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: a pooled analysis of individual patient data. Lancet Oncol. 11, 835–844 (2010).
Smith J. J. et al. Organ preservation in rectal cancer patients with clinical complete response after neoadjuvant therapy. in 2015 Gastrointestinal Cancers Symposium Vol. 6 (ed. Armitage, J.O.) abstr. 509 (HSP News Service, 2015).
Smith, J. J. & Garcia-Aguilar, J. Advances and challenges in treatment of locally advanced rectal cancer. J. Clin. Oncol. 33, 1797–1808 (2015).
Herold, K. M. & Rothberg, P. G. Evidence for a labile intermediate in the butyrate induced reduction of the level of c-myc RNA in SW837 rectal carcinoma cells. Oncogene 3, 423–428 (1988).
Ye, X., Yin, H., Lu, Y., Zhang, H. & Wang, H. Evaluation of hydrogel suppositories for delivery of 5-aminolevulinic acid and hematoporphyrin monomethyl ether to rectal tumors. Molecules 21, 1347 (2016).
Emons, G. et al. Chemoradiotherapy resistance in colorectal cancer cells is mediated by wnt/β-catenin signaling. Mol. Cancer Res. 15, 1481–1490 (2017).
Kleiman, L. B., Krebs, A. M., Kim, S. Y., Hong, T. S. & Haigis, K. M. Comparative analysis of radiosensitizers for K-RAS mutant rectal cancers. PLoS One 8, e82982 (2013).
Fujii, M. et al. A colorectal tumor organoid library demonstrates progressive loss of niche factor requirements during tumorigenesis. Cell Stem Cell 18, 827–838 (2016).
van de Wetering, M. et al. Prospective derivation of a living organoid biobank of colorectal cancer patients. Cell 161, 933–945 (2015).
Gock, M. et al. Establishment, functional and genetic characterization of three novel patient-derived rectal cancer cell lines. World J. Gastroenterol. 24, 4880–4892 (2018).
Ding, P. et al. Pulmonary recurrence predominates after combined modality therapy for rectal cancer: an original retrospective study. Ann. Surg. 256, 111–116 (2012).
O’Rourke, K. P. et al. Transplantation of engineered organoids enables rapid generation of metastatic mouse models of colorectal cancer. Nat. Biotechnol. 35, 577–582 (2017).
Roper, J. et al. In vivo genome editing and organoid transplantation models of colorectal cancer and metastasis. Nat. Biotechnol. 35, 569–576 (2017).
Sato, T. et al. Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche. Nature 459, 262–265 (2009).
Sato, T. et al. Long-term expansion of epithelial organoids from human colon, adenoma, adenocarcinoma, and Barrett’s epithelium. Gastroenterology 141, 1762–1772 (2011).
Fleming, M., Ravula, S., Tatishchev, S. F. & Wang, H. L. Colorectal carcinoma: pathologic aspects. J. Gastrointest. Oncol. 3, 153–173 (2012).
Bonneville, R. et al. Landscape of microsatellite instability across 39 cancer types. JCO Precis. Oncol. 1, 1–15 (2017).
Zehir, A. et al. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. Nat. Med. 23, 703–713 (2017).
Weeber, F. et al. Preserved genetic diversity in organoids cultured from biopsies of human colorectal cancer metastases. Proc. Natl Acad. Sci. USA 112, 13308–13311, https://doi.org/10.1073/pnas.1516689112 (2015).
Rödel, C. et al. Preoperative chemoradiotherapy and postoperative chemotherapy with fluorouracil and oxaliplatin versus fluorouracil alone in locally advanced rectal cancer: initial results of the German CAO/ARO/AIO-04 randomised phase 3 trial. Lancet Oncol. 13, 679–687 (2012).
Allegra, C. J. et al. Neoadjuvant 5-FU or capecitabine plus radiation with or without oxaliplatin in rectal cancer patients: A phase III randomized clinical trial. J. Natl Cancer Inst. 107, djv248 (2015).
Rödel, C. et al. Oxaliplatin added to fluorouracil-based preoperative chemoradiotherapy and postoperative chemotherapy of locally advanced rectal cancer (the German CAO/ARO/AIO-04 study): final results of the multicentre, open-label, randomised, phase 3 trial. Lancet Oncol. 16, 979–989 (2015).
Smith, J. J. et al. Organ preservation in rectal adenocarcinoma: a phase II randomized controlled trial evaluating 3-year disease-free survival in patients with locally advanced rectal cancer treated with chemoradiation plus induction or consolidation chemotherapy, and total. BMC Cancer 15, 767 (2015).
Van Cutsem, E. et al. Cetuximab and chemotherapy as initial treatment for metastatic colorectal cancer. N. Engl. J. Med. 360, 1408–1417 (2009).
Vlachogiannis, G. et al. Patient-derived organoids model treatment response of metastatic gastrointestinal cancers. Science 359, 920–926 (2018).
Cercek, A. et al. Neoadjuvant chemotherapy first, followed by chemoradiation and then surgery, in the management of locally advanced rectal cancer. J. Natl Compr. Canc. Netw. 12, 513–519 (2014).
Schrag, D. et al. Neoadjuvant chemotherapy without routine use of radiation therapy for patients with locally advanced rectal cancer: a pilot trial. J. Clin. Oncol. 32, 513–518 (2014).
Roerink, S. F. et al. Intra-tumour diversification in colorectal cancer at the single-cell level. Nature 556, 457–462 (2018).
Dow, L. E. et al. Apc restoration promotes cellular differentiation and reestablishes crypt homeostasis in colorectal cancer. Cell 161, 1539–1552 (2015).
Robinson, S. M. et al. The potential contribution of tumour-related factors to the development of FOLFOX-induced sinusoidal obstruction syndrome. Br. J. Cancer 109, 2396–2403 (2013).
Sanjana, N. E., Shalem, O. & Zhang, F. Improved vectors and genome-wide libraries for CRISPR screening. Nat. Methods 11, 783–784 (2014).
Yarilin, D. et al. Machine-based method for multiplex in situ molecular characterization of tissues by immunofluorescence detection. Sci. Rep. 5, 9534 (2015).
Viera, A. J. & Garrett, J. M. Understanding interobserver agreement: the kappa statistic. Fam. Med. 37, 360–363 (2005).
Funakoshi, K. et al. Highly sensitive and specific Alu-based quantification of human cells among rodent cells. Sci. Rep. 7, 13202 (2017).
Walker, J. A. et al. Quantitative PCR for DNA identification based on genome-specific interspersed repetitive elements. Genomics 83, 518–527 (2004).
Chakravarty, D. et al. OncoKB: A precision oncology knowledge base. JCO Precis. Oncol. 1, 1–16 (2017).
Gao, J. et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci. Signal. 236, 1–5 (2013).
Cerami, E. et al. The cBio cancer genomics portal: An open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2, 401–404 (2012).
Shen, R. & Seshan, V. E. FACETS: Allele-specific copy number and clonal heterogeneity analysis tool for high-throughput DNA sequencing. Nucleic Acids Res. 44, e131 (2016).
We thank our patients for giving consent and thereby allowing us access to their tissues for use in this study. We thank B. Carver for critical review of the manuscript as it developed. We thank A. Jungbluth for initial discussion on tissue fixation and immunostaining of the murine rectal tissues. We thank S. Chandarlapaty for discussions regarding the chemoresistance assays and cetuximab resistance assay. We thank L. Diaz for critical comments as this work developed. We thank N. Kemeny for advice, guidance and encouragement as this project developed. We thank N. Fan, S. Fujisawa, X. Liu, M. Turkekul, E. Chan and the Molecular Cytology Core for expert assistance and critical feedback in the design and execution of tissue embedding, immunostaining and processing of tissues, in addition to microscopy assistance. We thank the MSK Molecular Core Cytology Facility for critical technical assistance in performing tissue sections, immunohistochemical stains, scans and analysis (Institutional Core Grant Number P30CA008748). We thank R. Shah for initial discussions on set-up of the MSK-IMPACT experiments. We thank H. Park and L. Lee for assistance with preparation and processing of tumor and tumoroid specimens for IHC and immunofluorescence. We thank P. Watson of Memorial Sloan Kettering for sharing the Ubc-eGFP-Luc vector. We thank M. Gonzalez and R. Andrade for their work curating patient tissue and slides for analyses. We also thank members of the Sawyers laboratory for critical review, lively discussion, and helpful comments on this work as it developed. In addition, we thank R. Beauchamp and J. Goldenring for constructive criticism and comments in the development and presentation of this work. The authors thank J. Novak of Memorial Sloan Kettering for editorial assistance. This work was supported in part by the NIH/NCI Cancer Center Support Grant P30 CA008748. Research reported in this publication was supported by the National Cancer Institute of the National Institutes of Health under Award Number R25CA020449. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. J.J.S. was supported by NIH/NCI grant 5R01-CA182551-04 and the MSK Colorectal Cancer Research Center. J.J.S. is also supported by the American Society of Colon and Rectal Surgeons Career Development Award, the Joel J. Roslyn Faculty Research Award, the American Society of Colon and Rectal Surgeons Limited Project Grant, the MSK Department of Surgery Junior Faculty Award and the John Wasserman Colon and Rectal Cancer Fund. J.J.S. is also supported by the Colorectal Cancer Alliance and the Chris4Life Research Award. The work was funded in part by a Stand Up to Cancer (SU2C) Colorectal Cancer Dream Team Translational Research Grant (Grant Number: SU2C: AACR-DR22-17) (J.J.S., A.C., L.E.D., K.G.). Stand Up to Cancer is a program of the Entertainment Industry Foundation. Research grants are administered by the American Association of Cancer Research, the scientific partner of SU2C. J.J.S. is partly supported by a loan repayment grant from the NIH via the National Cancer Institute for this work. J.J.S. is also supported in part by funding from the Howard Hughes Medical Institute via C.L.S. P.B.P and M.A. are funded in part by gifts from Corinne Berezuk, Michael Stieber, and Patrick A. Gerschel. C.L.S. is an investigator of the Howard Hughes Medical Institute. This project was supported by National Institutes of Health grants CA155169, CA193837, CA224079, CA092629, CA160001, CA008748 and Starr Cancer Consortium grant I10-0062. K.G. was supported by National Institutes of Health grants K08-CA230213 and T32-CA009207, and by an American Cancer Society Postdoctoral Fellowship, AACR Basic Cancer Research Fellowship, Conquer Cancer Foundation of ASCO Young Investigator Award, Shulamit Katzman Endowed Postdoctoral Research Fellowship, and a SU2C Colorectal Cancer Dream Team Translational Research Grant (SU2C: AACR-DR22-17). J.M. is supported by National Institutes of Health grants CA94060 and CA12924, and by the MSKCC Alan and Sandra Gerry Metastasis and Tumor Ecosystems Center. S.W.L., L.E.D. and K.P.O. are supported by grants from the NIH (U54 OD020355-01) and by the Starr Cancer Consortium (I8-A8-030). S.W.L. is an investigator of the Howard Hughes Medical Institute. K.P.O. was supported by an F30 Award from the NIH/NCI (1CA200110-01A1) and by a Medical Scientist Training Program grant from the National Institute of General Medical Sciences of the National Institutes of Health under award number T32GM07739 to the Weill Cornell–Rockefeller–Sloan Kettering Tri-Institutional MD–PhD Program. L.E.D. is supported by a Stand Up to Cancer Colorectal Cancer Dream Team Translational Research Grant (Grant Number: SU2C: AACR-DR22-17) and was supported by a K22 Career Development Award from the NCI/NIH (CA 181280-01). P.B.R. is supported by the Memorial Sloan Kettering Cancer Center Imaging and Radiation Sciences Program. P.B.R. is also supported in part by a K12 Paul Calebresi Career Development Award for Clinical Oncology (K12 CA184746) and an NIH loan repayment program award (LRP).
J.J.S. has received travel support from Intuitive Surgical Inc. and has served as a clinical advisor for Guardant Health, Inc. C.L.S. serves on the Board of Directors of Novartis, is a co-founder of ORIC Pharm and co-inventor of enzalutamide and apalutamide. He is a science advisor to Agios, Beigene, Blueprint, Column Group, Foghorn, Housey Pharma, Nextech, KSQ Therapeutics, Petra and PMV Pharma. He was a co-founder of Seragon, purchased by Genentech/Roche in 2014. J.M. is a science advisor and owns company stock in Scholar Rock. H.C. is an inventor on several patents related to organoid technology. S.W.L. is a co-founder and scientific advisory board member for ORIC Pharmaceuticals, Blueprint and Mirimus. He also serves on the scientific advisory board for Constellation, Petra and PMV and has recently served as a consultant for Forma, Boehringer Ingelheim and Aileron. J.G.-A. has received support from Medtronic (honorarium for consultancy with Medtronic), Johnson & Johnson (honorarium for delivering a talk) and Intuitive Surgical (honorarium for participating in a webinar by Intuitive Surgical). P.B.R. has received honorarium from Corning to discuss 3D cell culture techniques), has served as a consultant for AstraZeneca and is a consultant for EMD Serono for work on radiation sensitizers. R.N.K. is a cofounder of Ceramedix Holding, LLC. He also has patents unrelated to this work: R.N.K. (US7195775B1, US7850984B2, and US10052387B2), R.N.K. (US8562993B2, US9592238B2, US20150216971A1, and US20170335014A1) and R.N.K. (US20170333413A1 and US20180015183A1). K.P.O. has received an honorarium from Merck for discussing organoid platforms.
Peer review information Javier Carmona was the primary editor on this article and managed its editorial process and peer review in collaboration with the rest of the editorial team.
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The diagram shows the outcome of attempts to derive tumoroids from 84 rectal cancer (RC) tumor samples from 58 individual patients with RC. 65 RC tumoroids from 41 patients (77%) were successfully derived. For the 19 failed derivations, the points of failure are shown. Demographics from each group are displayed (RAS status (WT or mutant (MUT)), neoadjuvant therapy, metastatic status at derivation, location of the primary tumor (middle/distal or upper rectum), sex, and age). Two patients were mismatch-repair deficient (not shown).
a, Gross resected rectal specimen from which the first RC tumoroid line (RC-MSK-001) was derived, and representative brightfield microscopy of the tumoroid in 3D culture 2 months after processing. Lower panels show hematoxylin and eosin (H&E) staining of the patient tumor (bottom left panel) and the derived RC-MSK-001 tumoroid (bottom right panel) in 3D culture. Scale bars, 50 μm. b, Hoechst and MitoTracker stains of a representative section of the RC-MSK-001 tumoroid demonstrate the luminal and glandular structure. Scale bars, 20 µm. c, Perineal recurrence of the original RC-MSK-001 tumor and the derived tumoroid (RC-MSK-001PR) are shown with H&E staining. Scale bar, 50 μm. d, H&E comparison of 32 additional tumoroid cell lines as noted with the corresponding primary tumor from which they were derived. Scale bars, 50 μm. All representative images are from one patient-specific tumor-to-tumoroid derivation.
Extended Data Fig. 3 Tumoroids preserve both architecture, cytology and colorectal-specific staining patterns of the primary tumors from which they were derived.
a, Examples of architecture preservation in tumoroids and primary tumors. Scale bars, 50 μm. b, Examples of cytological preservation in specific tumoroids. Scale bars: low magnification 50 μm; high magnification inset, 10 μm. Both architecture and cytology features were identified by a gastrointestinal pathologist. c, CDX2 and β-catenin were quantified by both presence and intensity of stain on a 0–3 scale. Presence is defined as the percentage of cells with staining: 0 = 0%, 1 = <30%, 2 = 30–60%, 3 = >60%. Intensity defines the strength of staining: 0 = none, 1 = weak, 2 = moderate, 3 = strong. Examples for both CDX2 and β-catenin are displayed. Intensity of staining is assessed exclusively within the nuclear compartment. Scale bar, 20 μm. d, The presence and intensity of each tumoroid is shown graphically according to the key. Cohen’s 𝛋 was used to assess similarity in score between matched primary and tumoroid samples: β-catenin presence score, 𝛋 = 0.51, P = 0.0021; β-catenin intensity score, 𝛋 = 0.63, P = 0.00034; CDX2 presence score, 𝛋 = 0.45, P = 0.0037; CDX2 intensity score, 𝛋 = 0.527, P = 0.00042. All representative images are from one patient-specific tumor-to-tumoroid derivation.
Eleven tumoroids are compared to their respective primary tumors for Alcian blue, CK20, CDX2, MUC-2, E-cadherin, and β-catenin staining. For immunofluorescent staining: E-cadherin (green), DAPI (blue). See Fig. 1b for another example of RC-MSK-001 Alcian blue, CK20, and CDX2 comparisons. Scale bars, 50 μm. All representative images are from one patient-specific tumor-to-tumoroid derivation.
Extended Data Fig. 5 Comparison of nuclear mismatch repair proteins between patient and tumoroid samples.
Immunohistochemistry of the nuclear mismatch repair (MMR) proteins MSH2, MSH6, MLH1, and PMS2. The presence of each protein is assessed by nuclear staining verified by pathologic analysis with (+) indicating present and (–) indicating absent staining. a, Displayed are two MMR-proficient tumoroids, RC-MSK-001 and RC-MSK-002. b, Displayed are two MMR-deficient tumors. RC-MSK-031 is deficient in MSH2 and MSH6. RC-MSK-034 is deficient in MLH1 and PMS2. Scale bars, 50 μm. All representative images are from one patient-specific tumor-to-tumoroid derivation.
a, The mutational fingerprint of 31 RC tumoroids for the most common alterations, as determined by MSK-IMPACT, are displayed. The frequency of alteration is noted along with the type of genetic alteration relative to truncating mutation, in-frame mutation, missense mutation or splice-site alterations (as noted by the color code). b, Example of a tumoroid (RC-MSK-003) with complete conservation of mutations between the tumoroid and the primary tumor from which it was derived. c, Example of a tumoroid (RC-MSK-004) with conservation of driver mutations and the addition of two secondary mutations noted in the tumoroid in culture only. d, Percentage of concordance between tumoroid and tumor among mutations predicted to be oncogenic overall and by each patient. The mutations represented are those annotated by OncoKB10 as oncogenic or likely oncogenic in each tumoroid and tumor pair. e, All mutations called in the MSK-IMPACT sequencing of tumoroids and primary tumors are shown. The numbers of mutations are displayed with regard to each gene (by column) and each tumoroid and tumor pair (by row). Mutations are colored by concordance status.
Extended Data Fig. 7 Swimmer’s plot of each patient treated with 5-FU-based therapy whose tumoroid has been analyzed for chemosensitivity ex vivo.
Data are displayed from top to bottom by descending AUC calculated from the 5-FU dose-response experiments presented in Fig. 2a. The blue areas denote progression-free survival (PFS) intervals from treatment start date, as indicated above. Seven of the nine patients have progressed, with the current status of the two patients who have not progressed indicated (RC-MSK-039 and RC-MSK-025). All patients were treated with FOLFOX, with the exception of RC-MSK-003 (capecitabine (oral 5-FU prodrug) + oxaliplatin + bevacizumab) and RC-MSK-023 (FOLFIRI: 5-FU + leucovorin + irinotecan). Four patients for whom ex vivo chemosensitivity data are presented in Fig. 2a are not shown because they did not receive 5-FU-based therapy.
Extended Data Fig. 8 Resistance to a targeted anti-epidermal growth factor receptor therapy, cetuximab, in KRAS-mutant compared with KRAS-WT tumoroids.
Resistance to cetuximab is demonstrated in KRAS-mutant RC tumoroids (blue) compared with a KRAS-WT tumoroids (orange). Dose range was used as shown and percentage of live cells is displayed for each tumoroid. Results are from two independent experiments done in technical quadruplicate; mean ± s.e.m.
a, The RC-MSK-001 endoluminal mouse biopsy represented in Fig. 3a shows serially sectioned and stained hEpCAM; collagen IV; merged with DAPI. n = 5 mice scale bars: 200 µm; inset, 50 µm. b, Colon from an unimplanted NSG mouse as control for a. Scale bars, 200 µm. c,d, 12-week endoscopy of a mouse transplanted with RC-MSK-001 (n = 5) or RC-MSK-002 (n = 7) tumoroids. e,f, Distinct staining was noted for human and mouse EpCAM for RC-MSK-001 (n = 5) and RC-MSK-002 (n = 7) engrafted NSG mice. Scale bars: 500 μm; inset, 50 μm. g, RC-MSK-001 tumoroids labeled with GFP and viewed by brightfield (left), intravital GFP imaging (middle; endoscopically (right). Scale bars, 100 µm. h, Invasive rectal tumor after RC-MSK-001 tumoroid implantation (n = 7 mice) stained for H&E, GFP (IHC), and IF (hEpCAM, mEpCAM, and hKi67, each merged with DAPI). i, Independent experiment similar to Fig. 3c of one male NSG mouse euthanized at 22 weeks post-transplantation. Implanted rectal tumor, H&E, and IF (hEpCAM, mEpCAM, DAPI) showing engraftment and invasion of human tumoroids. Scale bars: H&E, 500 μm; IF, 100 μm. j–l, RC-MSK-001 endorectal tumor 16 weeks post-transplantation (n = 3 mice). H&E demonstrates invasion at the junction between the columnar and squamous epithelium of anorectal junction. j,k, H&E; l, DAPI + hEpCAM + collagen IV; scale bars are as follows: j, 1,000 μm; k,l: 400 μm; insets, 100 μm. m, Liver metastasis in an independent experiment (see Fig. 3d) after rectal transplantation in a male NSG mouse euthanized at 36 weeks. Liver metastasis shows poorly differentiated histology. Scale bars for H&E: 1,000 μm, 500 μm, 100 μm. n, Axial and coronal CT images of liver metastases in the corresponding patient (arrowheads) discussed in m. o, Human-specific Alu qPCR demonstrates that the metastases in Fig. 3d and current panel m arose from implanted human tumoroids (Results are based on three independent RNA isolates). Mean ± s.d. Staining: hEpCAM (green), hKi67 (green), mEpCAM (red), Collagen IV (red) and DAPI (blue).
Extended Data Fig. 10 Histopathologic conservation of glandular architecture in the endoluminally implanted RC tumoroids.
H&E images are shown for the RC-MSK-008, RC-MSK-002, RC-MSK-023 and RC-MSK-001 tumoroid lines. Left panels display the primary patient tumor from which the tumoroid was derived once per patient. Middle panels display the tumoroids in 3D culture. Right panels display the engrafted tumoroids within the mouse rectum following endoluminal transplantation. The number of mice engrafted with indicated tumoroids is 8, 7, 8 and 5 (top to bottom). The H&E photomicrographs demonstrate histopathologic conservation of glandular features as noted in the human adenocarcinomas from which they were derived. Scale bar, 50 μm.