Lung Metastases Of Renal Carcinoma Research Articles

Differentiation of Lung Metastases Originated From Different Primary Tumors Using Radiomics Features Based on CT Imaging

To explore the feasibility of differentiating three predominant metastatic tumor types using lung computed tomography (CT) radiomics features based on supervised machine learning. This retrospective analysis included 252 lung metastases (LM) (from 78 patients), which were divided into the training (n=176) and test (n=76) cohort randomly. The metastases originated from colorectal cancer (n=97), breast cancer (n=87), and renal carcinoma (n=68). An additional 77 LM (from 35 patients) were used for external validation. All radiomics features were extracted from lung CT using an open-source software called 3D slicer. The least absolute shrinkage and selection operator (LASSO) method selected the optimal radiomics features to build the model. Random forest and support vector machine (SVM) were selected to build three-class and two-class models. The performance of the classification model was evaluated with the area under the receiver operating characteristic curve (AUC) by two strategies: one-versus-rest and one-versus-one. Eight hundred and fifty-one quantitative radiomics features were extracted from lung CT. By LASSO, 23 optimal features were extracted in three-class, and 25, 29, and 35 features in two-class for differentiating every two of three LM (colorectal cancer vs. renal carcinoma, colorectal cancer vs. breast cancer, and breast cancer vs. renal carcinoma, respectively). The AUCs of the three-class model were 0.83 for colorectal cancer, 0.79 for breast cancer, and 0.91 for renal carcinoma in the test cohort. In the external validation cohort, the AUCs were 0.77, 0.83, and 0.81, respectively. Swarmplot shows the distribution of radiomics features among three different LM types. In the two-class model, high accuracy and AUC were obtained by SVM. The AUC of discriminating colorectal cancer LM from renal carcinoma LM was 0.84, and breast cancer LM from colorectal cancer LM and renal carcinoma LM were 0.80 and 0.94, respectively. The AUCs were 0.77, 0.78, and 0.84 in the external validation cohort. Quantitative radiomics features based on Lung CT exhibited good discriminative performance in LM of primary colorectal cancer, breast cancer, and renal carcinoma.

Absent in melanoma 2-mediating M1 macrophages facilitate tumor rejection in renal carcinoma

Absent in melanoma 2 (AIM2) as an immune regulator for the regulation of tumor-associated macrophages (TAMs) function is unclear in tumor development. Here, the AIM2 function was investigated in TAMs-mediated malignant behaviors of renal carcinoma. The correlation analysis result showed that the AIM2 expression in TAMs was negatively correlated with the percentages of M2-like polarization phenotype in human or murine renal cancer specimens. By the cocultured assay with bone marrow-derived macrophages (BMDMs) and Renca cells, overexpression of AIM2 in macrophages enhanced the inflammasome activation and reversed the phenotype from M2 to M1. Compared with BMDMs-Ctrl cocultured group, BMDMs-AIM2 cocultured group showed reduced tumor cell proliferation and migration. The blockade of inflammasome activation by the inhibitor Ac-YVAD-CMK abrogated AIM2-mediated M1 polarization and the inhibition of tumor cell growth. To evaluate the therapeutic efficacy of AIM2-mediated M1 macrophages in vivo, BMDMs-AIM2 were intravenously injected into subcutaneous Renca-tumor mice. The results showed that the infiltration of M1 TAMs was increased and tumor growth was suppressed in BMDMs-AIM2-treated mice when compared with BMDMs-Ctrl-treat mice. Accordingly, the blockade of inflammasome activation reduced the anti-tumor activities of BMDMs-AIM2. Moreover, the lung metastases of renal carcinoma were suppressed by the administration of BMDMs-AIM2 accompanied with the reduced tumor foci. These results demonstrated that AIM2 enhanced TAMs polarization switch from anti-inflammatory M2 phenotypy to pro-inflammatory M1 through inflammasome signaling activation, thus exerting therapeutic intervention in renal carcinoma models. Our results provide a possible molecular mechanism for the modulation of TAMs polarization in tumor microenvironment and open a new potential therapeutic approach for renal cancer.

Combining DNA Vaccine and AIM2 in H1 Nanoparticles Exert Anti-Renal Carcinoma Effects via Enhancing Tumor-Specific Multi-functional CD8+ T-cell Responses.

Renal carcinoma presents a rapid progression in patients with high metastasis with no effective therapeutic strategy. In this study, we designed a folate-grafted PEI600-CyD (H1) nanoparticle-mediated DNA vaccine containing an adjuvant of absent in melanoma 2 (AIM2) and a tumor-specific antigen of carbonic anhydrase IX (CAIX) for renal carcinoma therapy. Mice bearing subcutaneous human CAIX (hCAIX)-Renca tumor were intramuscularly immunized with H1-pAIM2/pCAIX, H1-pCAIX, H1-pAIM2, or Mock vaccine, respectively. The tumor growth of hCAIX-Renca was significantly inhibited in H1-pAIM2/pCAIX vaccine group compared with the control group. The vaccine activated CAIX-specific CD8+ T-cell proliferation and CTL responses, and enhanced the induction of multi-functional CD8+ T cells (expressing TNF-α, IL-2, and IFN-γ). CD8+ T-cell depletion resulted in the loss of anti-tumor activity of H1-pAIM2/pCAIX vaccine, suggesting that the efficacy of the vaccine was dependent on CD8+ T-cell responses. Lung metastasis of renal carcinoma was also suppressed by H1-pAIM2/pCAIX vaccine treatment accompanied with the increased percentages of CAIX-specific multi-functional CD8+ T cells in the spleen, tumor, and bronchoalveolar lavage as compared with H1-pCAIX vaccine. Similarly, the vaccine enhanced CAIX-specific CD8+ T-cell proliferation and CTL responses. Therefore, these results indicated that H1-pAIM2/pCAIX vaccine exhibits the therapeutic efficacy of anti-renal carcinoma by enhancing tumor-specific multi-functional CD8+ T-cell responses. This vaccine strategy could be a potential and promising approach for the therapy of primary solid or metastasis tumors.

Cytologic studies of lung metastasis of renal carcinoma

Renal carcinomas often metastasize to the endobronchial wall with no symptoms, so they are liable to be mistaken for primary lung tumors.Three cases of lung metastasis of renal carcinomas gave the following characteristic cytological indings: abundant cytoplasm with numerous vacuoles, eccentric but round nuclei and prominent nucleoli.Differentiation of lung metastasis of renal carcinoma from primary lung tumors especially “clear cell” carcinoma or benign clear cell tumor of the lung is discussed.