4.6

CiteScore

2.2

Impact Factor
  • ISSN 1674-8301
  • CN 32-1810/R
Xu Wenbin, Yan Han, Xu Lulu, Li Mingna, Gao Wentao, Jiang Kuirong, Wu Junli, Miao Yi. Correlation between radiologic features on contrast-enhanced CT and pathological tumor grades in pancreatic neuroendocrine neoplasms[J]. The Journal of Biomedical Research, 2021, 35(3): 179-188. DOI: 10.7555/JBR.34.20200039
Citation: Xu Wenbin, Yan Han, Xu Lulu, Li Mingna, Gao Wentao, Jiang Kuirong, Wu Junli, Miao Yi. Correlation between radiologic features on contrast-enhanced CT and pathological tumor grades in pancreatic neuroendocrine neoplasms[J]. The Journal of Biomedical Research, 2021, 35(3): 179-188. DOI: 10.7555/JBR.34.20200039

Correlation between radiologic features on contrast-enhanced CT and pathological tumor grades in pancreatic neuroendocrine neoplasms

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  • Corresponding author:

    Yi Miao, Pancreas Center, the First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, Jiangsu 210029, China. Tel: +86-25-6830-6590, E-mail: miaoyi@njmu.edu.cn

  • Received Date: March 17, 2020
  • Revised Date: June 13, 2020
  • Accepted Date: June 18, 2020
  • Available Online: August 20, 2020
  • Contrast-enhanced computed tomography (CT) contributes to the increasing detection of pancreatic neuroendocrine neoplasms (PNENs). Nevertheless, its value for differentiating pathological tumor grades is not well recognized. In this report, we have conducted a retrospective study on the relationship between the 2017 World Health Organization (WHO) classification and CT imaging features in 94 patients. Most of the investigated features eventually provided statistically significant indicators for discerning PNENs G3 from PNENs G1/G2, including tumor size, shape, margin, heterogeneity, intratumoral blood vessels, vascular invasion, enhancement pattern in both contrast phases, enhancement degree in both phases, tumor-to-pancreas contrast ratio in both phases, common bile duct dilatation, lymph node metastases, and liver metastases. Ill-defined tumor margin was an independent predictor for PNENs G3 with the highest area under the curve (AUC) of 0.906 in the multivariable logistic regression and receiver operating characteristic curve analysis. The portal enhancement ratio (PER) was shown the highest AUC of 0.855 in terms of quantitative features. Our data suggest that the traditional contrast-enhanced CT still plays a vital role in differentiation of tumor grades and heterogeneity analysis prior to treatment.
  • Clinical transplantation has been improved enormously in recent decades; however, there is a major disparity between the number of patients awaiting transplantations and the available donor organs and tissues such as the hearts[1], livers[23], kidneys[46], lungs[78], islets[910], and corneas[1112]. Xenotransplantation using pig tissues/organs has been considered as a potential solution to alleviate the shortage of donor tissues/organs[1314]. A key barrier to xenotransplantation is the destruction of porcine xenografts that occurs when preformed human antibodies activate the complement system after binding to the xenogeneic antigens on the surface of pig cells[1516]. Galactose-α1,3-galactose (αGal), the most abundant immunogenic glycan in pigs to which the human immune system is highly responsive, has long been known as the causative xenoantigen associated with hyperacute rejection of a xenograft. Disrupting porcine αGal antigen expression via inactivating the α1,3-galactosyltransferase (GGTA1) gene conveys protection against hyperacute rejection[1718]. However, antibody-mediated rejection is not eliminated even in GGTA1-deficient porcine tissues harboring complement inhibitory receptor transgenes, revealing the significance of non-Gal antigens expressed on pig tissues[1921]. Continued pursuit of xenoantigens in pigs has led to the identification of other glycans associated with xenograft injury induced by highly specific circulating human antibodies, including N-glycolylneuraminic acid (Neu5Gc) encoded by the cytidine monophospho-N-acetylneuraminic acid hydroxylase (CMAH) gene and DBA-reactive glycans (also named Sd(a) antigen) produced by β-1,4-N-acetylgalactosaminyl transferase 2 (β4GalNT2)[2223]. To transplant porcine grafts into patients, eliminating xenoantigens responsible for antibody-mediated rejection must be achieved. Genetically modified pigs lacking αGal and Neu5Gc carbohydrate modifications have subsequently been produced, including GTKO/CMAH knockout (KO) pigs[2425], GTKO/CD46/CMAH KO pigs[24], and GGTA1/CMAH/ASGR1 KO pigs[26], in which human antibody binding is dramatically reduced.

    More recently, GGTA1/CMAH/β4GalNT2 triple gene knockout (TKO) pigs have been established by Estrada et al[27] and Zhang et al[28] for further lowering their tissue xenoantigenicity. Compared to wild-type pigs, human IgG/IgM binding to peripheral blood mononuclear cells (PBMCs) and red blood cells from TKO pigs is significantly reduced[27,29]. However, the expressions of αGal, Sd(a) and Neu5Gc in other tissues/organs of TKO pigs and related human antibody binding have not been determined. Thus, the aim of this study was to broaden the antigenicity investigation into corneal tissues and solid organs including the liver, lung, spleen, heart, and kidney from TKO pigs.

    The GGTA1/β4GalNT2/CMAH triple gene knockout pigs were generated by Zhang et al[28] from our group. The sgRNAs for porcine GGTA1, β4GalNT2, and CMAH gene targeting are 5'-GAAAATAATGAATGTCAA-3', 5'-GGTAGTACTCACGAACACTC-3', and 5'-GAGTAAGGTACGTGATCTGT-3', respectively. The genotypes of TKO pigs in the present study are GGTA1: + 1 bp; CMAH: + 1 bp; β4GalNT2: −10 bp. Tissue samples of the heart, lung, kidney, liver, spleen, pancreas and cornea were collected from TKO pigs and age-matched wild type pigs. Corneas from GTKO/ CD46 porcine were kindly gifted by Dr. Dengke Pan. All animal experiments were carried out in accordance with the guidelines approved by the Institutional Animal Care and Use Committee of Nanjing Medical University, Nanjing, China.

    Tissue samples were fixed in 4% paraformaldehyde. Five micrometer paraffin sections of heart, lung, kidney, liver, spleen, pancreas and cornea tissues were prepared after being dewaxed in xylene and rehydrated in gradient alcohol. The sections were stained with hematoxylin and eosin (H&E) and mounted with neutral balsam, and the images were captured using a microscope (Nikon, Elgin, IL).

    To investigate the distribution of αGal and Sd(a) antigens in porcine tissues, sections were prepared after being dewaxed in xylene, rehydrated in gradient alcohol, and antigens unmasked in citrate solution. After wash with PBS, the slides were incubated with diluted GS-IB4 (concentration 1 : 1 000; Invitrogen, Waltham, MA, USA) or DBA (concentration 1 : 400; Vector Laboratories) in each for 60 minutes at room temperature in the dark. For Neu5Gc detection in tissues, a chicken anti-Neu5Gc antibody kit (BioLegend, San Diego, CA, USA) and goat anti-chicken IgY Alexa Fluor488 (Invitrogen) as a secondary antibody were successively used to stain the antigen unmasked slides. After PBS wash, 4,6-diamidino-2-phenylindole (DAPI; Invitrogen) was used for nuclear staining in all cases. The distribution of glycans was detected under a fluorescence microscope (Nikon).

    To determine human antibody binding, antigen unmasked slides were incubated with diluted, heatinactivated human serum for 30 minutes (diluted to 20% for IgM and to 5% for IgG binding). PBS was used as a negative control. After wash in PBS, the slides were blocked with 10% goat serum for 30 minutes at room temperature. Goat anti-human IgG Alexa Fluor 488 or donkey anti-human IgM Alexa Fluor 488 (concentration 1 : 1 000; Invitrogen) was applied for 30 minutes at room temperature in the dark for detection of IgM or IgG binding. DAPI was applied for nuclear staining, and the slides were examined by a fluorescence microscope (Nikon).

    The corneal structure and cell morphology from TKO pigs and GTKO/CD46 pigs were not significantly different from those of WT pigs (Fig. 1A). The expression of αGal, Sd(a), and Neu5Gc antigens was examined using BSI-B4 lectin (to detect αGal), DBA lectin [to detect-Sd(a)], as well as chicken anti-Neu5Gc antibody (to detect Neu5Gc). The overall staining of αGal epitopes was low in the cornea with weak signals distributed in several keratocytes in the anterior-most part of the corneal stroma of WT pigs, whereas GTKO and TKO porcine keratocytes did not show any expression of the αGal epitopes (Fig. 1B). The expression of Sd(a) (Fig. 1C) and Neu5Gc antigens (Fig. 1D) was detected in keratocytes of the anterior stroma in WT pig corneas with weak diffuse expression in the stroma, which is consistent with a previous report[30]. The posterior corneal stroma and endothelium showed no expression of αGal (data not shown). As expected, there was no αGal expression in TKO or GTKO pigs, nor were Sd(a) antigen or Neu5Gc detected in TKO pigs (Fig. 1BD).

    Figure  1.  Representative images of histology and antigen expression of wildtype (WT) and triple gene knockout (TKO) corneal sections.
    A: Tissue structures in different corneas were examined by H&E staining. B–D: Expression of αGal, Sd(a), and Neu5Gc antigens in WT, GTKO/ CD46, and TKO pig corneas were detected by immunofluorescence staining. The control group consisted of unstained tissues [for αGal and Sd (a)] or isotype control (chicken IgY for Neu5Gc), but were stained with DAPI. In WT porcine corneas, weak αGal-positive keratocytes were located at the anterior region of the corneal stroma (white arrows). In contrast, there was no expression of αGal in GTKO/CD46 and TKO corneas. In WT and GTKO/CD46 pig corneas, Sd(a) and Neu5Gc antigens were detected in the anterior cells of the epithelium (white arrows). In TKO pigs, Sd(a) and Neu5Gc antigens were seen in the cornea (Nuclei, blue; αGal, Neu5Gc, and Sd(a) antigens, green). Scale bar = 100 μm.

    To investigate the immunoreactivity of porcine corneas, the binding of human serum IgM and IgG to corneas was examined by immunofluorescence staining. Binding of IgG and IgM was mainly present in the corneal stroma from WT, GTKO/CD46 and TKO pigs. Compared to WT pig corneas, human IgM and IgG binding to TKO and GTKO/CD46 porcine corneas was significantly decreased (Fig. 2A & B). Surprisingly, the binding of IgG and IgM did not decrease in TKO pig corneas compared to GTKO pig corneas.

    Figure  2.  IgM and IgG binding to WT and TKO corneas incubated with human serum.
    Human IgG (A) and IgM (B) antibody binding to WT, GTKO/CD46 and TKO pig corneal sections were examined. Binding of IgG was present in all corneas but the binding level was greater in WT pig corneas. Human IgM binding to genetically engineered pig corneas was significantly lower compared to extensive binding in the stromal layer of WT pigs. Scale bar = 100 μm.

    As with corneas, the tissue structure and cell morphology of the heart, liver, spleen, lung, kidney and pancreas did not show significant difference between genetically modified pigs and WT pigs (Fig. 3A). The distributions of αGal, Neu5Gc, and Sd(a) antigens were then examined in those tissues from WT and TKO pigs by immunofluorescence. The results showed that all WT pig tissues had αGal (Fig. 3B), Sd (a) (Fig. 3C) and Neu5Gc antigens expressed (Fig. 3D). Tissue-specific distributions of these three glycans were clearly observed in different organs and tissues as revealed by relevant lectins or antibody staining. αGal, Sd(a) antigen, and Neu5Gc were expressed strongly in capillary endothelia and myolemma of the cardiac muscle. In livers, αGal was extensively distributed in hepatocytes and endothelia of vessels, and Sd(a) antigen and Neu5Gc were expressed strongly in the endothelia of capillaries and vessels. In spleen tissues, αGal and Sd(a) antigens were significant in lymphonoduli and the endothelia of trabecular arteries, while Neu5Gc was mainly found in the endothelia of trabecular arteries. In lung tissues, αGal, Sd(a) antigen, and Neu5Gc were noticeably expressed in pulmonary alveoli and endothelia of bronchioles. In kidney tissues, αGal was obvious in renal capsules and convoluted tubules, while Sd(a) antigen was strongly present in the renal mesenchyme. In pancreas tissues, αGal, Sd(a) antigen, and Neu5Gc were mainly scattered in the endothelia of capillaries and vessels. As expected, αGal, Neu5Gc, and Sd(a) glycans were not detected in the heart, liver, spleen, lung, kidney, and pancreas from TKO pigs.

    Figure  3.  Representative images of histology and xenoantigen expression of WT and TKO heart, liver, spleen, lung, kidney, and pancreas tissue sections.
    A: H&E staining of the heart, liver, spleen, lung, kidney and pancreas tissues from WT and TKO pigs. B–D: Expression of αGal, Neu5Gc, and Sd(a) antigen were widespread in WT pig tissues. TKO pig tissues had negative αGal, except αGal was slightly positive in TKO liver tissue (white arrow). As expected, TKO pig tissues were negative for Sd(a) and Neu5Gc antigens compared with WT pig tissues (Nuclei, blue; αGal, Neu5Gc, and Sd(a) antigens, green). Scale bar = 100 μm.                                                    (Continued)

    Human serum IgG (Fig. 4A) and IgM (Fig. 4B) binding assays were performed for the heart, liver, spleen, lung, kidney and pancreas of TKO and WT pigs. Binding of IgM and IgG significantly decreased in TKO heart compared to WT heart (Fig. 4A & B). More IgG binding to WT heart was observed than IgM binding, but there was no significant difference between IgG and IgM binding in TKO heart (Fig. 4A & B). There was also significantly less IgM and IgG binding to TKO porcine lung and kidney tissues when incubated withhuman sera in parallel with WT porcine lung and kidney tissues (Fig. 4A & B). There was slightly greater IgG binding than IgM binding to WT porcine lung and kidney tissues; however, TKO porcine lung and kidney tissues did not show significant difference between IgG and IgM binding (Fig. 4A & B). Surprisingly, human serum IgG (Fig. 4A) and IgM (Fig. 4B) binding to TKO pig liver tissues slightly increased compared to WT controls. There was no significant difference in the pancreas and spleen between WT and TKO pig (Fig. 4A & B).

    Figure  3.  Representative images of histology and xenoantigen expression of WT and TKO heart, liver, spleen, lung, kidney, and pancreas tissue sections.
    Figure  4.  Human IgM and IgG binding to the heart, liver, spleen, lung, kidney, and pancreas from WT and TKO pigs.
    A–B: Human serum IgG and IgM binding assays revealed obviously greater binding to WT pig heart, spleen, lung, and kidney. Human serum bound less strongly to WT than TKO pig liver tissues, and there was no significant difference in the pancreas between WT and TKO pigs. Scale bar = 100 μm.

    Organs/tissues from non-human mammals are a potential solution to the shortage of human donor organs worldwide. Due to its similarity with humans, the pig has been studied as a donor for xenotransplantation. However, the most profound barrier in using pig organs/tissues for xenotransplantation is the destruction of xenografts by the host immunological system[13,2930]. Three identified pig antigens that can cause rejection to xenografts are αGal, Neu5Gc and Sd(a)[21]. To reduce human antibody response to pig tissues, these xenoantigens can be eliminated through genetic modification. Using the highly efficient CRISPR/Cas9 gene targeting system, GGTA1/CMAH/ β4GalNT2 triple gene knockout (TKO) pigs have been generated recently and shown significantly reduced human IgM and IgG binding to pericardium tissues[28]. In the present study, the expressions of αGal, Neu5Gc, and Sd(a) antigens in the TKO corneal tissues and solid organs (liver, lung, spleen, heart, and kidney) were determined by immunohistochemistry. The results indicate that the αGal, Neu5Gc and Sd(a) antigens are negative in the tissues and organs from TKO pigs. The human IgG/IgM binding to organs or tissues were also significantly reduced.

    As the cornea is an avascular tissue, it seems to be an ideal material for xenografts. Hara et al reported that human IgG/IgM binding was significantly decreased in the pig corneal endothelial cells (pCEC) from GTKO/CD46 pigs compared to WT pCECs[31]. Surprisingly, transplantation of full-thickness GTKO/CD46 pig corneas into rhesus monkeys neither prolonged graft survival nor reduced antibody response compared with WT pig cornea[12]. In the present study, we found that the expression of Sd(a) antigen in the corneal tissue was stronger than that of αGal and Nue5Gc, indicating that Sd(a) might be a major antigen present on corneas. Therefore, this result might partly explain the failure of GTKO/CD46 porcine corneal xenotransplantation into non-human primates. Moreover, binding of human IgG and IgM did not decrease in TKO porcine corneas compared to GTKO/CD46 porcine corneas, suggesting that besides Sd(a) antigen, there still exist some major antigens in pig corneas.

    Using relevant lectins or antibodies, we detected the expression of αGal, Neu5Gc, and Sd(a) antigens in different organs and tissues, such as heart, liver, lung, kidney, spleen, and pancreas. Immunofluorescence staining indicated that these three carbohydrate antigens were mostly found in WT porcine vascular endothelial cells of the tested organs. Tissue-specific distributions of these antigens were observed as αGal was strongly expressed in the kidney, and so was Sd(a) in the pancreas, and Neu5Gc in the heart. As anticipated, the expressions of αGal, Neu5Gc, and Sd(a) were absent in TKO pig tissues/organs (heart, liver, lung, kidney, spleen, and pancreas). Human serum IgG and IgM binding decreased in some TKO porcine tissues of heart, lung, and kidney, showing that eliminating the reactivity of preformed human antibodies with those tissues can be achieved by gene targeting. However, comparable levels of IgG and IgM binding were observed in the liver, spleen, and pancreas of TKO and WT pig, suggesting that other immunoreactive xenoanigens such as swine leukocyte antigens (SLA) maybe the dominant xenoantigens in those organs.

    This work was supported by grants from the National Natural Science Foundation of China (81570402 & 31701283), the National Key R&D Program of China (2017YFC1103701 & 2017YFC1103702), the Jiangsu Key Laboratory of Xenotransplantation (BM2012116), the Sanming Project of Medicine in Shenzhen, the Fund for High Level Medical Discipline Construction of Shenzhen (2016031638), and the Shenzhen Foundation of Science and Technology (JCYJ20160229204849975 & GCZX2015043017281705).

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