| Literature DB >> 26517677 |
Norma Bloy1,2,3,4, Allan Sauvat1,3,4,5, Kariman Chaba1,3,4, Aitziber Buqué1,3,4, Juliette Humeau1,2,3,4, José Manuel Bravo-San Pedro1,3,4, Jack Bui6, Oliver Kepp1,3,4,5, Guido Kroemer1,4,5,7,8, Laura Senovilla1,3,4.
Abstract
An at least transient increase of ploidy, usually by whole genome duplication, is a frequent event in oncogenesis, explaining the cytogenetic features of at least 40% of solid cancers. Here, we show that fibrosarcomas induced by the carcinogen methylcholanthrene (MCA) are distinct with respect to their ploidy status when they arise in immunocompetent wild type versus severely immunodeficient Rag2-/-γc-/- mice. MCA-induced fibrosarcomas are particularly hyperploid if they develop in an immunodeficient setting, correlating with higher DNA content, increased nuclear surface, as well as hyperphosphorylation of eukaryotic initiation factor 2α (eIF2α), a biomarker indicating endoplasmic reticulum (ER) stress. Upon transfer of such cells into wild type mice, such hyperploid, ER-stressed cells (that originated in Rag2-/-γc-/- mice) fail to proliferate and actually induce a protective anticancer immune response. In contrast, such cells do form tumors in Rag2-/-γc-/- recipients (which lack T, B and NK cells) as well as in Rag2-/- recipients (which only lack T and B lymphocytes) and conserve their hyperploidy as well as eIF2α hyperphosphorylation. To measure these parameters, we developed a morphometric analysis tool that is applicable to immunohistochemistry of formaldehyde-fixed, paraffin-embedded tissues. This software automatically identifies and quantifies the surface of nuclei and determines the intensity of eIF2α phosphorylation within a perinuclear region of interest. Comparative analyses performed on cultured cells and tissue sections validated the accuracy of this method, which can be used to investigate ploidy and ER stress in cancers in situ.Entities:
Keywords: ER stress; immunoselection; morphometric analysis; ploidy
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Year: 2015 PMID: 26517677 PMCID: PMC4747400 DOI: 10.18632/oncotarget.5400
Source DB: PubMed Journal: Oncotarget ISSN: 1949-2553
Figure 1Linkage between hyperploidy and ER stress in CT26 cell line
A. CT26 parental cells and CT26 hyperploid clones were fixed and stained with propidium iodide and their chromosomal content was detected by FACS. The plot is representative of seven independent assessments, which yielded similar results. B–D. Parental and hyperploid CT26 cells were processed for the software-assisted, (immuno)fluorescence-based detection of Hoechst 33342 and phosphorylated eIF2α. Representative images are reported in (B) (scale bar, 20 μm; n = 3) and quantitative data for normal distribution of nuclear area (C) and P-eIF2α intensity (D) were obtained using the MetaXpress software. Alternatively, phosphorylated and total eIF2α were assessed by quantitative immunoblotting (n = 3) E. Statistical analysis was performed with one-tailed Student's t tests. Error bars indicate SEM. *p < 0.05, ***p < 0.001 as compared with the parental cell line.
Figure 2Nuclear diameter as an indirect measurement of ploidy in HES sections
A, B. Murine colon carcinoma CT26 parental and hyperploid clones were subjected both to fluorescence microscopy upon Hoechst 33342 staining and to hematoxilin/eosin (HE) staining upon inclusion into paraffin pellets. Representative pictures are shown in (A) and the correlative quantification in (B). C, D. Morphometric analysis were performed with the algorithm developed in R on the nuclear area after segmentation of the hematoxylin stained nuclei (C), and the nuclear area of the parental or hyperploid clones were automatically quantified (D). Scale bar, 20 μm. Results are representative of 6 different clones.
Figure 3Algorithm validation for the nuclear size and P-eIF2α intensity quantifications in P-eIF2α tissue staining
A–D. Morphometric analysis were carried out on CT26 parental and hyperploid clones to quantify the nuclear area (Hematoxylin II plus Bluing reagent staining) and P-eIF2α (peroxidase staining) intensity of immunohistochemistry stained pellet sections (A) after segmentation (B) Scale bar, 50 μm. Quantifications for nuclear area (C) and P-eIF2α intensity (D) were obtained using the algorithm developed in R. Results are representative of 6 different clones.
Figure 4Characterization of the MCA-induced fibrosarcomas developed into immunocompetent vs immunodeficient mice
Methylcholanthrene (MCA)-induced fibrosarcomas were developed into immunocompetent C57BL/6 or immunodeficient Rag2 mice. Generated MCA-fibrosarcoma cell lines were transplanted into syngenic C57BL/6 mice. A cell line was considered “Progressor” or “Regressor” if it was able to growth in > or < 50% of C57BL/6 injected mice, respectively A. Progressor and regressor cell lines were characterized by their DNA content by FACS (representative plots of five independent experiments) B. and phosphorylation levels of eIF2α by immunoblotting (n = 3) C.
Figure 5Immunogenicity of regressor cell line
A–C. Progressor and regressor cells were inoculated into C57BL/6, Rag2 mice. D, E. C57BL/6 mice that stayed tumor free for three month after regressor cell line injection were reinjected with either progressor cells or with unrelated murine LLC cells. Tumor growth (left panels in A-C) and incidence (right panels in A-C and E) were routinely monitored. Tumor growth curves (on the left) were analyzed with one-tailed Student's t test, whereas tumor incidence (right graphs, illustrated with Kaplan-Meier curves) was compared by log rank test. Error bars indicate SEM. *p < 0.05, ***p < 0.001 as compared with the progressor cell line.
Figure 6Morphometric analysis of ploidy and eIF2α phosphorylation on tumor tissue sections
Progressor and regressor tumors recovered from C57BL/6 mice, Rag2 mice were cultured in vitro and their ploidy was determined by cytofluorometry A. Alternatively, histological sections submitted to immunohistochemical staining for the detection of eIF2α phosphorylation B–E. Scale bar, 20 μm. Representative pictures are shown in (B) Morphometric analysis was carried out with the algorithm developed in R on the segmented images tumor sections (C), to quantify the nuclear area (D) and the phosphorylation of eIF2α (E) Results are representative of 97 recovered tumors.