肿瘤浸润淋巴细胞在实体肿瘤中作用的研究进展

肿瘤是21世纪威胁人类健康的主要疾患之一。临床上,实体瘤治疗仍以手术切除、放化疗和靶向治疗为主,但这些方法往往不能根除肿瘤病灶,易导致肿瘤复发和进展。肿瘤免疫治疗是利用人体的免疫系统,通过增强或恢复抗肿瘤免疫力实现控制和杀伤肿瘤的一种新的治疗模式。肿瘤免疫治疗能够在众多患者中产生持久反应,过继性免疫治疗和免疫检查点阻断剂治疗均可产生显著的抗原特异性免疫反应。肿瘤浸润淋巴细胞(TILs)是一种存在于肿瘤组织内部具有高度异质性的淋巴细胞,在宿主抗原特异性肿瘤免疫应答中发挥关键作用。最新研究表明,在肿瘤发生和治疗过程中,TILs的亚群组成和数量与患者预后密切相关;抗肿瘤的TILs介导的过继性免疫治疗方法已在多种实体瘤中取得了良好的疗效。文中就实体肿瘤中TILs的研究进展作一综述。     

The induction of murine tumor infiltrating lymphocytes (TIL) by interleukin-2 or T cell growth factor

Mice were injected in the foot pad with either 5×10⁵ syngeneic plasmacytoma (MOPC104E) or fibrosarcoma cells (Meth A). Lymph nodes containing tumor cells were harvested 14 days later and cultured. In the presence of recombinant interleukin-2 (r-IL-2) predominantly tumor cells proliferated. Culture with T cell growth factor (TCGF) resulted in the growth of lymphoid cells. Concanavalin A (Con A) had only a modest effect on elimination of tumor cells in the culture. Tumor-infiltrating lymphocytes (TIL) prepared from the lymph nodes showed specific tumor-neutralizing activity when grown in the presence of TCGF. In vitro examination revealed that Meth A cells could not be lysed by TIL, while TIL from MOPC tumors showed tumor specific activity. This study may explain negative results in human trials with TIL induced by IL-2 alone.Abbreviations r recombinant - IL-2 interleukin-2 - TCGF T cell growth factor - TIL tumor infiltrating lymphocytes - Con A concanavalin A - HBSS Hanks' balanced salt solution     

Analysis of NK cells and chemokine receptors in tumor infiltrating CD4 T lymphocytes in human renal carcinomas

Recent data suggest that chemokines and chemokine receptors mediate leukocyte recruitment of all components of the antitumor response. This study aimed to phenotypically characterize the immune lymphocyte infiltrate in human renal cell carcinomas (RCCs) and at the invasive margin (tumor–host interface) and to define the association of these findings with established prognostic indicators. Tumor infiltrating lymphocytes (TILs) were obtained from 24 patients with RCC undergoing radical nephrectomy. Peripheral blood cells from 37 patients were also obtained before surgery. Our findings are consistent with the preferential recruitment of CD4+ Th1-polarized effector memory cells that express CXCR3/CCR5. These cells were the main component of TILs and expressed as CXCR3, CCR5, CD45RO, and CD95. Natural killer (NK) cells were found in significantly higher proportions in TILs of RCCs than in peripheral blood lymphocytes (PBLs) or in other tumors studied (colorectal and breast cancers), where these cells were found in small proportions. No differences in nuclear grade or other studied parameters were observed between the TILs and the lymphocytes present at the invasive margin, which showed a similar composition. However, differences were found according to the tumor stage. First, significantly fewer NK cells were observed in PBLs from metastatic patients. Second, a significantly lower proportion of CCR5/CXCR3/CD4+ cells and a higher proportion of CCR4/CD4+ cells were observed in metastatic patients, suggesting that preferential Th1-polarization may gradually change during the progression of renal cancer cells. Finally, the frequency of CD25/CD4+ cells was higher in metastatic patients. Although the sample of patients with metastasis was small, the overall results suggest a change in composition of the TILs that may potentially confer a selective advantage for tumor growth and may account for the suppression of an effective cytotoxic response.     

Prognostic and predictive significance of immune cells infiltrating cutaneous melanoma

The tumor microenvironment is shaped by interactions between malignant cells and host cells representing an integral component of solid tumors. Host cells, including elements of the innate and adaptive immune system, can exert both positive and negative effects on the outcome of the disease. In melanoma, studies on the prognostic impact of the lymphoid infiltrate in general, and that of T cells, yielded controversial results. According to our studies and data in the literature, a high peritumoral density of activated T cells, increased amount of B lymphocytes and mature dendritic cells (DCs) predicted longer survival, while intense infiltration by plasmacytoid DCs or neutrophil granulocytes could be associated with poor prognosis. Besides its prognostic value, evaluation of the components of immune infiltrate could provide biomarkers for predicting the efficacy of the treatment and disease outcome in patients treated with immunotherapy or other, non‐immune‐based modalities as chemo‐, radio‐, or targeted therapy.     

Comparison of five different scoring methods in the evaluation of inflammatory infiltration (tumor‐infiltrating lymphocytes) in superficial spreading and nodular melanoma

The objective of our study was to compare the five different scoring methods of tumor‐infiltrating lymphocytes (TILs) assessment in a group of 213 cases of superficial spreading and nodular melanoma. The scoring methods include (a) Clark scoring; (b) Melanoma Institute Australia system; (c) scoring system used in the study of Saldanha et al.; (d) scoring system used in the TCGA study and modified by Park et al.; and (e) the system recently proposed by the “International Immuno‐Oncology Biomarker Working Group” for TILs scoring in all solid tumors. Prediction of survival with three main outcomes—disease‐specific‐free survival, local recurrence‐free survival, and distant metastasis‐free survival—was evaluated. The prognostic value of TILs showed statistical significance in univariate analysis regarding all three of the outcomes only for three of the five evaluated methods; the Clark scoring, the Melanoma Institute Australia system, and the system proposed by the “International Immuno‐Oncology Biomarker Working Group”. However, in multivariate analysis with covariants including Breslow thickness, type of melanoma, location, sex, and age, we did not find TILs to be an independent prognostic factor.     

Interleukin 21 therapy increases the density of tumor infiltrating CD8<Superscript>+ </Superscript>T cells and inhibits the growth of syngeneic tumors

Interleukin (IL)-21 is a recently discovered cytokine in early clinical development, which has shown anti-tumor activity in various animal models. In the present study, we examine the anti-tumor activity of IL-21 protein therapy in two syngeneic tumor models and its effect on the density of tumor infiltrating T cells. We treated mice bearing established subcutaneous B16 melanomas or RenCa renal cell carcinomas with intraperitoneal (i.p.) or subcutaneous (s.c.) IL-21 protein therapy and subsequently scored the densities of tumor infiltrating CD4⁺ and CD8⁺ T cells by immunohistochemistry. Whereas both routes of IL-21 administration significantly inhibited growth of small, established RenCa and B16 tumors, only s.c. therapy significantly inhibited the growth of large, established tumors. We found a greater bioavailability and significant drainage of IL-21 to regional lymph nodes following s.c. administration, which could account for the apparent increase in anti-tumor activity. Specific depletion of CD8⁺ T cells with monoclonal antibodies completely abrogated the anti-tumor activity, whereas NK1.1⁺ cell depletion did not affect tumor growth. In accordance, both routes of IL-21 administration significantly increased the density of tumor infiltrating CD8⁺ T cells in both B16 and RenCa tumors; and in the RenCa model s.c. administration of IL-21 led to a significantly higher density of tumor infiltrating CD8⁺ T cells compared to i.p. administration. The densities of CD4⁺ T cells were unchanged following IL-21 treatments. Taken together, these data demonstrate that IL-21 protein has anti-tumor activity in established syngeneic tumors, and we show that IL-21 therapy markedly increases the density of tumor infiltrating CD8⁺ T cells.     

Tumor immune microenvironment: sanctuary of tumor and target for immunotherapy

The tumor immune microenvironment (TIME) is the cellular environment in which tumors exist. This includes: surrounding blood vessels, immune cells, fibroblasts, bone marrow-derived inflammatory cells, lymphocytes, signaling molecules, immune checkpoint proteins and the extracellular matrix (ECM). The TIME plays a critical role in cancer progression and regulation. Tumors can influence the microenvironment by releasing extracellular signals, promoting tumor angiogenesis and inducing peripheral immune tolerance, while the immune cells in the microenvironment can affect the growth and evolution of cancerous cells. The molecules and cells in the TIME influence disease outcome by altering the balance of suppressive versus cytotoxic responses in the vicinity of the tumor. Having a better understanding of the tumor immune microenvironment will pave the way for identifying new targets for immunotherapies that promote cancer elimination.     

Identification of potential immunotherapy biomarkers for breast cancer by bioinformatics analysis

Breast cancer is a serious malignancy with a high incidence worldwide and a tendency to relapse. We used integrated bioinformatics analysis to identify potential biomarkers in breast carcinoma in the present study. Microarray data, 127breast tumor samples and 23 non-tumor samples, received from the Gene Expression Omnibus (GEO) dataset; 121 differentially expressed genes (DEGs) were selected. Functional analysis using DAVID revealed that these DEGs were highly gathered in endodermal cell differentiation and proteinaceous extracellular matrix. Five bioactive compounds (prostaglandin J2, tanespimycin, semustine, 5182598, and flunarizine) were identified using Connectivity Map. We used Cytoscape software and STRING dataset to structure a protein–protein interaction (PPI) network. The expression of CD24, MMP1, SDC1, and SPP1 was much higher in breast carcinoma tissue than in Para cancerous tissues analyzed by Gene Expression Profiling Interactive Analysis (GEPIA) and ONCOMINE. Overexpression ofCD24, MMP1, SDC1, and SPP1 indicated the poor prognosis in breast carcinoma patients analyzed by Kaplan–Meier (KM) Plotter. Immunohistochemistry microarray was used to further confirm that protein expression of CD24, MMP1, SDC1, and SPP1 was much higher in tumor sections than in Para cancerous tissues. Hub genes expression at the protein level was correlated tothe breast cancer subtype and grade. Furthermore, immunity analysis showed that CD24, MMP1, SDC1, and SPP1 were potentially associated with five immune cell types infiltration (CD8+ T cells, CD4+ T cells, neutrophils, macrophages,and dendritic cells) by TIMER. Thus, this study indicates potential biomarkers that could have applications in the development of immune therapy for breast cancer. However, further studies are required for verifying these results in vivo and vitro.     

Correlated immunohistochemical and cytological assays for the prediction of hematogenous dissemination of breast cancer

Although metastasis is a major cause of death from breast cancer, our ability to predict which tumors will metastasize is limited (American Cancer Society 2010). Proper assessment of metastatic risk and elucidating the underlying mechanisms of metastasis will help personalize therapy and may provide insight into potential therapeutic targets. Traditionally, histologic grading, staging, hormone receptors, HER2/Neu, and proliferation assays have been the gold standard on which oncologists based their treatment decisions. However, all of these are indirect measures of metastatic risk. Recent insights from intravital imaging directly address questions of mechanism and have led to a new way of using histologic and cytologic material to assess metastatic risk. This review describes the tumor microenvironment model of invasion and intravasation, as well as an emerging histopathologic application based on this model. In particular, the authors describe a new immunohistochemical approach to the assessment of metastatic risk based on the density of intravasation microenvironment sites called the tumor microenvironment of metastasis. In addition, they describe an isoform assay for the actin regulatory protein Mena using fine needle aspiration samples and the details about how these 2 assays may be applied in clinical practice in a synergistic way to assess the risk of metastasis.     

Application of immunotherapy based on dendritic cells stimulated by tumor cell-derived exosomes in a syngeneic breast tumor mouse model

We here evaluated the therapeutic effect of tumor cell-derived exosomes (TEXs)-stimulated dendritic cells (DCs) in a syngeneic orthotopic breast tumor model. The DC line DC2.4 and breast cancer cell line E0771 originally isolated from C57BL/6 mice were used. E0771 cells stably expressing the exosomal CD63-RFP or luciferase (Luc) and DC2.4 cells stably expressing GFP were produced using lentivirus. TEXs were purified from conditioned medium of E0771/CD63-RFP cells. Breast tumor model was established by injecting E0771/Luc cells into mammary gland fat pad of mice. TEXs contained immune modulatory molecules such as HSP70, HSP90, MHC I, MHC II, TGF-β, and PD-L1. TEXs were easily taken by DC2.4 cells, resulting in a significant increase in the in vitro proliferation and migration abilities of DC2.4 cells, accompanied by the upregulation of CD40. TEX-DC-treated group exhibited a decreased tumor growth compared with control group. CD8⁺ cells were more abundant in the tumors and lymph nodes of TEX-DC-treated group than in those of control group, whereas many CD4⁺ or FOXP3+ cells were localized in those of control group. Our results suggest a potential application of TEX-DC-based cancer immunotherapy.     

Molecular characterization of tumor associated antigen in mice exposed to a hepatocarcinogen

The present investigation is aimed to identify and characterize tumor-associated antigen (TAA) in animals exposed to hepatocarcinogen. Swiss albino mice showed an enhanced expression of an approximately 58 kDa glycoprotein in liver cells upon exposure to a potential hepatocarcinogen N-nitrosodibutylamine (DBN). Carcinogenesis induction in mice was monitored by assays of -glutamyl transpeptidase (GGT), acetylcholine esterase (AChE), glutathione-S-transferase (GST) activities and the level of glutathione (GSH) in liver. DBN treated animals showed cell distortion and extensive necrosis as observed by histological examination. The over-expressed TAA was purified by ion-exchange chromatography and further characterized by SDS-PAGE. The carbohydrate contents and glycan linkage to the polypeptide backbone was analyzed by using the DIG glycan differentiation and de-glycosylation kits. The glycoprotein has glycan chains that are N-linked via asparagines to the polypeptide backbone. It was also observed that the molecule is rich in sialic acid residues with a significantly high carbohydrate to protein ratio (2:1). The over-expressed high molecular weight glycoprotein TAA was found to be highly immunogenic and could eventually be used to induce immune response in order to counter tumor regression. (Mol Cell Biochem 271: 177–188, 2005)     

Transfer of long-lasting tumor immunity by immune T cells from MHC congenic mice: Migration,survival and tumor-protectivity of cytotoxic donor cells

Immunocompetent B10.D2 (H-2^d) mice are able to reject the highly malignant lymphoma ESb of DBA/2 (H-2^d) origin very effectively. Seven days after intravenous injection of the ESb tumor cells, B10.D2 mice developed a strong tumor-rejection response which was associated with the generation of anti-tumor T cells in their spleens with direct cytotoxic activity. Most of the cytotoxic potential was directed against the minor histocompatibility differences as demonstrated by the lysis of unrelated DBA/2 derived Eb tumor cells and normal DBA/2 but no B10.D2 derived ConA lymphoblasts. A previously performed clonal analysis, however, revealed a minority population of CTL clones which specifically recognized the ESb specific transplantation antigen (ESb-TATA). When transferred systemically into DBA/2 mice, the B10.D2 anti-ESb immune spleen cells could delay the outgrowth of s.c. transplanted ESb tumor cells. When the ESb tumor cells were experimentally distributed in a s.c. implanted sponge-matrix, the i.v. injected B10.D2 immune cells could confer complete protective immunity against the metastatic tumor, provided the recipients were pre-treated with 5 Gy to allow a better take of the allogeneic cells. The distribution of intravenously injected B 10D2 donor spleen cells was assessed in the recipients up to 50 days by cytotoxicity testing and assaying for the expression of the ₂ microglobulin allelic form b ( ₂m^b). These tests revealed a high propensity of donor cells to populate the spleen and lymph nodes of the DBA/2 recipients. Again this was particularly marked in sublethally irradiated mice where a long-lasting lymphoid chimerism was established.     

Optimization,validation, and identification of two reliable antibodies for immunodetection of WNT5A

WNT5A is a secreted, noncanonical WNT signaling protein that has been reported to promote progression of several types of cancer, including oral squamous cell carcinoma. Many WNT5A antibodies are available commercially for immunohistochemistry (IHC) and western blot analysis. Validation of the primary antibodies, however, is often neglected. We characterized antibodies for detecting WNT5A by IHC and western blot analysis. We evaluated one polyclonal and three monoclonal commercially available WNT5A antibodies. After optimization of the IHC assay, all four antibodies showed cytoplasmic WNT5A expression in tissue samples; in contrast, only one antibody detected WNT5A in western blots. A pre-absorption test with recombinant WNT5A showed that AF645 and 3A4 antibodies specifically detected WNT5A in different assays. We suggest that the monoclonal 3A4 antibody is the most appropriate for use with IHC, while the polyclonal AF645 antibody is the best for western blot analysis.     

基于TCGA数据预测肿瘤代表性新抗原的一种生物信息学新方案

肿瘤的特异性基因突变是肿瘤免疫疗法的理想靶标,突变的基因在健康组织中缺乏表达,而且具有高度免疫原性,容易被免疫系统识别。肿瘤患者突变基因组的高度特异性使得个体化免疫治疗存在极大挑战,而每一种肿瘤都具有区别于其他肿瘤的代表性的基因突变特征,基于这些突变特征,有可能开发出特定肿瘤适用的免疫治疗策略。文中提出一个兼顾抗原胞内呈递和与胞外MHC分子结合能力的肿瘤新抗原预测策略,整体设计更为合理;相对于常规方法,能够大幅缩小实验验证的范围。基于该策略,利用TCGA数据库中多种肿瘤的基因突变数据进行肿瘤新抗原预测并预测到大量潜在的肿瘤新抗原。肿瘤新抗原的预测结果显示出肿瘤类型的特异性,并且在特定肿瘤数据集中能够覆盖20%-70%不等比例的肿瘤患者。文中提出的肿瘤新抗原预测方案在未来的肿瘤临床治疗上具有潜在的应用价值。     

Computational modeling and experimental validation of odor detection behaviors of classically conditioned parasitic wasp,Microplitis croceipes

A prototype chemical sensor named Wasp hound® that utilizes five classically conditioned parasitoid wasps, Microplitis croceipes (Cresson) (Hymenoptera: Braconidae), to detect volatile odors was successfully implemented in a previous study. To improve the odor‐detecting ability of Wasp Hound®, searching behaviors of an individual wasp in a confined area are studied and modeled through stochastic differential equations in this paper. The wasps are conditioned to 20 mg of coffee when associated with food and subsequently, tested to 5, 10, 20, and 40 mg of coffee. A stochastic model is developed and validated based on three positive behavioral responses (walking, rotation around odor source, and self‐rotation) from conditioned wasps at four different test dosages. The model is capable to reproducing the behaviors of conditioned wasps, and can be used to improve the ability of Wasp Hound® to assess changes in odor concentration. The model simulation results show the behaviors of conditioned wasps are significantly different when tested at different coffee dosages. We conjecture that the searching behaviors of conditioned wasps are based on the temporal and spatial neuron activity of olfactory receptor neurons and glomeruli, which are strongly correlated to the training dosages. The overall results demonstrate the utility of mathematical models for interpreting experimental observations, gaining novel insights into the dynamic behavior of classically conditioned wasps, as well as broadening the practical uses of Wasp Hound. © 2014 American Institute of Chemical Engineers Biotechnol. Prog., 31:596–606, 2015     

Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells

Background

Neuroblastoma Tumor (NT) is one of the most aggressive types of infant cancer. Essential to accurate diagnosis and prognosis is cellular quantitative analysis of the tumor. Counting enormous numbers of cells under an optical microscope is error-prone. There is therefore an urgent demand from pathologists for robust and automated cell counting systems. However, the main challenge in developing these systems is the inability of them to distinguish between overlapping cells and single cells, and to split the overlapping cells. We address this challenge in two stages by: 1) distinguishing overlapping cells from single cells using the morphological differences between them such as area, uniformity of diameters and cell concavity; and 2) splitting overlapping cells into single cells. We propose a novel approach by using the dominant concave regions of cells as markers to identify the overlap region. We then find the initial splitting points at the critical points of the concave regions by decomposing the concave regions into their components such as arcs, chords and edges, and the distance between the components is analyzed using the developed seed growing technique. Lastly, a shortest path determination approach is developed to determine the optimum splitting route between two candidate initial splitting points.

Results

We compare the cell counting results of our system with those of a pathologist as the ground-truth. We also compare the system with three state-of-the-art methods, and the results of statistical tests show a significant improvement in the performance of our system compared to state-of-the-art methods. The F-measure obtained by our system is 88.70%. To evaluate the generalizability of our algorithm, we apply it to images of follicular lymphoma, which has similar histological regions to NT. Of the algorithms tested, our algorithm obtains the highest F-measure of 92.79%.

Conclusion

We develop a novel overlapping cell splitting algorithm to enhance the cellular quantitative analysis of infant neuroblastoma. The performance of the proposed algorithm promises a reliable automated cell counting system for pathology laboratories. Moreover, the high performance obtained by our algorithm for images of follicular lymphoma demonstrates the generalization of the proposed algorithm for cancers with similar histological regions and histological structures.     

The cellular ratio of immune tolerance (immunoCRIT) is a definite marker for aggressiveness of solid tumors and may explain tumor dissemination patterns

The adaptive immune system is involved in tumor establishment and aggressiveness. Tumors of the ovaries, an immune-privileged organ, spread via transceolomic routes and rarely to distant organs. This is contrary to tumors of non-immune privileged organs, which often disseminate hematogenously to distant organs. Epigenetics-based immune cell quantification allows direct comparison of the immune status in benign and malignant tissues and in blood. Here, we introduce the “cellular ratio of immune tolerance” (immunoCRIT) as defined by the ratio of regulatory T cells to total T lymphocytes. The immunoCRIT was analyzed on 273 benign tissue samples of colorectal, bronchial, renal and ovarian origin as well as in 808 samples from primary colorectal, bronchial, mammary and ovarian cancers. ImmunoCRIT is strongly increased in all cancerous tissues and gradually augmented strictly dependent on tumor aggressiveness. In peripheral blood of ovarian cancer patients, immunoCRIT incrementally increases from primary diagnosis to disease recurrence, at which distant metastases frequently occur. We postulate that non-pathological immunoCRIT values observed in peripheral blood of immune privileged ovarian tumor patients are sufficient to prevent hematogenous spread at primary diagnosis. Contrarily, non-immune privileged tumors establish high immunoCRIT in an immunological environment equivalent to the bloodstream and thus spread hematogenously to distant organs. In summary, our data suggest that the immunoCRIT is a powerful marker for tumor aggressiveness and disease dissemination.     

Comparison of cytotoxic T lymphocyte responses against pancreatic cancer induced by dendritic cells transfected with total tumor RNA and fusion hybrided with tumor cell

Pancreatic cancer (PC) is a deadly human malignancy. Dendritic cell (DC)-based immunotherapy with whole tumor antigens demonstrates potential efficiency in cancer treatment. Tumor RNA and tumor fusion hybrid cells are sources of whole tumor antigens for preparing DC tumor vaccines. However, the efficacy of these sources in eliciting immune responses against PC has not yet to be directly compared. In the present study, patient-derived PC cells and DCs were fused (DC–tumor hybrids) and primary cultured PC cell-derived total RNA was electroporated into autologous DCs (DC–tumor RNA). The antitumor immune responses induced by DC–tumor hybrids and DC–tumor RNA were compared directly. The results showed that both RNA and hybrid methodologies could induce tumor-specific cytotoxic T lymphocyte (CTL) responses, but pulsing DCs with total tumor RNA could induce a higher frequency of activated CTLs and T-helper cells than fusing DCs with autologous tumor cells. In addition, DC–tumor RNA triggered stronger autologous tumor cell lysis than DC–tumor hybrids. It could be concluded that DCs pulsed with whole tumor RNA are superior to those fused with tumor cells in priming anti-PC CTL responses. Electroporation with total tumor RNA may be more suitable for DC-based PC vaccination.     

阳性神经元面积百分比和染色灰度相对强度值的结合在大鼠脑组织免疫组化图像定量分析中的应用

目的：通过下丘脑弓状核乙酰胆碱表达的检测、图像处理、图像分析,应用阳性神经元面积百分比（APPN）和染色灰度相对强度值（RISGL）相结合的方法,探讨免疫组化（IHC）图像定量分析的特点。方法：样本来源于运动性免疫抑制过程中SD大鼠下丘脑弓状核胆碱能阳性神经元乙酰胆碱表达的免疫组化切片,包括第0、2、4、6周与每周Control、Immediately after exercise、3 hours after exercise三组共计12组（n=6）。采用免疫组化技术测定其乙酰胆碱（ACh）的表达,并根据ACh阳性神经元总面积（TAPN）、阳性神经元灰度平均强度值（AISGL）、APPN、RISGL、APPN/RISGL参数进行免疫组化图像的定量分析,从而比较APPN和RISGL在定量分析中与传统参数的不同及其优势。结果：APPN与TAPN的变化呈现几乎一致的变化特征,能发现相应差异的显著性意义（P < 0.05）,但APPN的敏感性和抗干扰性更强。RISGL与AISGL呈现的结果并不完全一致,而且APPN结合RISGL比单参数更能反映阳性表达情况。结论：APPN和RISGL免疫组化图像分析参数能较可靠地、准确地进行图像定量分析,APPN与RISGL的结合不仅可反映阳性表达的数量情况,还可以帮助分析其作用机理,优于传统分析参数。