The tumor immune microenvironment differs between metastatic castrate resistant prostate cancer (CRPC) and hormone sensitive prostate cancer (HSPC).

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 251-251 ◽  
Author(s):  
Kobe Chi Yung Yuen ◽  
Ben Tran ◽  
Peter Gibbs ◽  
Angelyn Anton ◽  
Sanjeev Mariathasan ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Immune Checkpoints ◽  
Cell Cycle Gene ◽  
Immune Microenvironment ◽  
Royal Melbourne Hospital ◽  
Molecular Subtyping ◽  
Molecular Features ◽  
Gene Sets ◽  
Tumor Immune Microenvironment ◽  
Castrate Resistant

251 Background: Immune checkpoint inhibitors (CPIs) (anti-CTLA4, anti-PD-1/PD-L1 mAbs) have had limited monotherapy activity in prostate cancer (PC) compared to urothelial cancer (UC). Recent biomarker studies revealed molecular features associated w/ better efficacy/resistance to CPIs in UC.1 Here we examined the tumor immune microenvironment (iTME) of hormone naïve/sensitive (HSPC) & castrate resistant prostate (CRPC) specimens from primary & metastatic sites, to determine if parallels to UC molecular correlates exist that will allow us to predict subsets of PC pts who are more likely to benefit from rational combination therapies w/ CPIs. Methods: Tumor FFPE archival tissues (HSPC, n = 98; CRPC, n = 46; Unk, n = 6) were sourced from a Royal Melbourne Hospital cohort of PC patients. Tissues were evaluated by H&E for TILs & IHC performed for PD-L1 (clones SP142 & SP263) & CD8. RNAseq was conducted & Lund bladder molecular subtyping performed during bioinformatics analyses. TCGA PRAD dataset was used for further validation. Results: We first applied Lund molecular subtyping to broadly categorize this cohort into luminal/basal subtypes. CRPC tumors were almost entirely luminal, whereas HSPC tumors were mainly basal. Luminal PC tumors enriched for Wnt gene sets (p = 0.026) & enriched for a genomically unstable (GU) subtype w/ higher expression of DNA damage repair (DDR) & cell cycle gene sets (p = 0.082). Compared to CRPC, HSPCs had higher numbers of infiltrating CD8s (p = 4.37e-004), increased expression of T-effector, MHC-I antigen presentation machinery, immune checkpoints, macrophages & activated stromal biology, including the fibroblast TGFβ response signature. PD-L1 on immune cells by SP142 & SP263 was 30% & 17% respectively & was enriched in HSPC samples (SP142: CRPC 18% vs. HSPC 34%, p = 0.08). Within patients w/ CRPC, differences were minimal between primary & metastatic samples. Conclusions: These analyses on the iTME contexture of PC reveal potentially actionable biological nodes for targeted therapies. These findings could inform future clinical strategies to improve CPI responses in CRPC & HSPC w/ rationale combinations.1. Mariathasan et al. Nature 2018.

scholarly journals Alteration in the immune microenvironment based on APC status in MSS/pMMR colon cancer data retrieved from TCGA

2020 ◽  
Author(s):  
Haishan Lin ◽  
Hongchao Zhen ◽  
Kun Shan ◽  
Xiaoting Ma ◽  
Bangwei Cao
Keyword(s):  
Colon Cancer ◽  
Cancer Patients ◽  
Enrichment Analysis ◽  
Tumor Immunotherapy ◽  
Immune Checkpoints ◽  
Immune Microenvironment ◽  
Cancer Data ◽  
T Cell Infiltration ◽  
Colon Cancers ◽  
Tumor Immune Microenvironment

Abstract Immunotherapy is currently the most advanced anti-tumor treatment approach. The efficacy of anti-tumor immunotherapy is closely related to the tumor immune microenvironment, including immune cells, infiltration of immune factors, and expression of immune checkpoints. At present, the biomarkers for predicting the efficacy of colon cancer immunotherapy do not cover all colon cancer patients suitable for immunotherapy. In this study, TCGA database was used to identify tumor genotypes suitable for anti-tumor immunotherapy. We found that some of the MSS/pMMR populations, that were initially considered unsuitable for immunotherapy, might actually be suitable. In APC-wt/MSS colon cancer, the expression of PD-1, PD-L1, CTLA4 and CYT（GZMA and PRF1）were increased. Based on calculations done by ESTIMATE and CIBERSORT algorithms, the ImmunoScore and the proportion of CT8+ T cell infiltration is increased in these patients. Enrichment analysis was done to screen signaling pathways involved in immune response, extracellular matrix, and cell adhesion. Tumors from 42 colon cancer patients, including 22 APC-mt/MSS and 20 APC-wt/MSS, were immunohistochemically evaluated for expression of CD8 and PD-L1. And APC-wt/MSS tumors showed significantly higher expression of CD8 and PD-L1 than APC-mt/MSS tumor. Based on the results, we found that some colon cancers of APC-wt/MSS are classified by Tumor Immune Microenvironment types (TIMTs) TMIT I. So that we speculate that APC-wt/MSS colon cancer patients could benefit from anti-tumor immunotherapy.

scholarly journals M1 Macrophage and M1/M2 ratio defined by transcriptomic signatures resemble only part of their conventional clinical characteristics in breast cancer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Masanori Oshi ◽  
Yoshihisa Tokumaru ◽  
Mariko Asaoka ◽  
Li Yan ◽  
Vikas Satyananda ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Biology ◽  
Clinical Characteristics ◽  
Critical Role ◽  
Immune Microenvironment ◽  
Gene Sets ◽  
M1 Macrophage ◽  
Tumor Immune Microenvironment ◽  
Cell Cycle Related Gene ◽  
High Level

Abstract Tumor associated macrophages (TAMs) play a critical role in biology of various cancers, including breast cancer. In the current study, we defined “M1” macrophage and “M1”/“M2” ratio by transcriptomic signatures using xCell. We investigated the association between high level of “M1” macrophage or “M1”/“M2” ratio and the tumor immune microenvironment by analyzing the transcriptome of publicly available cohorts, TCGA and METABRIC. We found that “M1” high tumors were not associated with prolonged survival compared with “M1” low tumors, or with the response to neoadjuvant chemotherapy. “M1” high tumors were associated with clinically aggressive features and “M1” high tumors enriched the cell proliferation and cell cycle related gene sets in GSEA. At the same time, “M1” high tumors were associated with high immune activity and favorable tumor immune microenvironment, as well as high expression of immune check point molecules. Strikingly, all these results were mirrored in “M1”/“M2” ratio high tumors. In conclusion, transcriptomically defined “M1” or “M1”/“M2” high tumors were associated with aggressive cancer biology and favorable tumor immune microenvironment but not with survival benefit, which resembled only part of their conventional clinical characteristics.

scholarly journals Intratumoral Adipocyte-High Breast Cancer Enrich for Metastatic and Inflammation-Related Pathways but Associated with Less Cancer Cell Proliferation

2020 ◽  
Vol 21 (16) ◽  
pp. 5744 ◽  
Author(s):  
Yoshihisa Tokumaru ◽  
Masanori Oshi ◽  
Eriko Katsuta ◽  
Li Yan ◽  
Jing Li Huang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cell Proliferation ◽  
Cancer Progression ◽  
Cancer Biology ◽  
The Cancer Genome Atlas ◽  
Related Gene ◽  
Immune Microenvironment ◽  
Gene Sets ◽  
Tumor Immune Microenvironment ◽  
Er Positive

Cancer-associated adipocytes are known to cause inflammation, leading to cancer progression and metastasis. The clinicopathological and transcriptomic data from 2256 patients with breast cancer were obtained based on three cohorts: The Cancer Genome Atlas (TCGA), GSE25066, and a study by Yau et al. For the current study, we defined the adipocyte, which is calculated by utilizing a computational algorithm, xCell, as “intratumoral adipocyte”. These intratumoral adipocytes appropriately reflected mature adipocytes in a bulk tumor. The amount of intratumoral adipocytes demonstrated no relationship with survival. Intratumoral adipocyte-high tumors significantly enriched for metastasis and inflammation-related gene sets and are associated with a favorable tumor immune microenvironment, especially in the ER+/HER2- subtype. On the other hand, intratumoral adipocyte-low tumors significantly enriched for cell cycle and cell proliferation-related gene sets. Correspondingly, intratumoral adipocyte-low tumors are associated with advanced pathological grades and inversely correlated with MKI67 expression. In conclusion, a high amount of intratumoral adipocytes in breast cancer was associated with inflammation, metastatic pathways, cancer stemness, and favorable tumor immune microenvironment. However, a low amount of adipocytes was associated with a highly proliferative tumor in ER-positive breast cancer. This cancer biology may explain the reason why patient survival did not differ by the amount of adipocytes.

Uncovering the immune-modulating role of anti-RANKL therapy for cervical cancer: Preliminary results.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e18028-e18028
Author(s):  
Peter Van Dam ◽  
Yannick Verhoeven ◽  
Jorrit De Waele ◽  
Julie Jacobs ◽  
Pieter-Jan Van Dam ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Rna Sequencing ◽  
Immune Checkpoints ◽  
Clinicopathological Parameters ◽  
Sequencing Data ◽  
Immune Microenvironment ◽  
Preliminary Results ◽  
Risk Of Death ◽  
Increased Risk ◽  
Tumor Immune Microenvironment

e18028 Background: Conventional treatments for cervical cancer (CC) have reached a plateau and only limited progress for targeted therapy has been made over the last decades, resulting in a meager five-year survival rate of only 17% for the advanced stages. To improve long-term benefits for the patient, a promising hot field of research in oncology that opens new perspectives is immunotherapy. Even though CC has shown to be immunogenic, only a minority of patients respond to this type of treatment. In recent years, the RANKL/RANK signaling pathway has been implicated as a key immune modulating factor in the tumor microenvironment, allowing the cancer cells to evade the immune response by disrupting the immune-intrinsic crosstalk. Both RANKL and RANK are highly co-expressed in CC, which correlates with inferior clinicopathological parameters and an increased risk of death. Targeting this pathway may therefore be of great value in the treatment of CC and the quest to release the brakes on the immune system, thereby reinvigorating the tumors’ susceptibility to immunotherapy. Hence, we aim to elucidate the effects of anti-RANKL therapy on the tumor-immune microenvironment in CC. Methods: Two cervical biopsies were taken before and after anti-RANKL therapy in CC patients. One fresh biopsy was immediately processed to a single cell suspension for flow cytometry (FCM) using enzymatic digestion, while the other was formalin-fixed and paraffin-embedded for immunohistochemistry (IHC) and RNA sequencing. For FCM and IHC, the samples were stained with different markers for RANK/L signaling, the immune infiltrate and immune checkpoints. FCM was performed on a BD FACSAria IIä cytometer and analyzed with FlowJo. IHC staining was performed on a Ventana Benchmark Ultra and Ventana Discovery Ultra and scored by a pathologist or by HistoScientist using Visiopharm, while RNA sequencing was performed with the Truseq RNA exome panel on the NextSeq 500 system. Results: Our preliminary results show a relative increase of the CD8+ population, while a trend is observed in increased lymphocyte activation after anti-RANKL therapy. Updated results will be presented in more detail at the conference, including RNA sequencing data. Conclusions: Preliminary findings indicate that anti-RANKL therapy modifies the tumor-immune microenvironment in CC. Higher patient accrual will allow to dissect targets for combination therapy with anti-RANKL to further optimize this treatment strategy.

scholarly journals A Hypoxia Gene-Based Signature to Predict the Survival and Affect the Tumor Immune Microenvironment of Osteosarcoma in Children

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Feng Jiang ◽  
Xiao-Lin Miao ◽  
Xiao-Tian Zhang ◽  
Feng Yan ◽  
Yan Mao ◽  
...  
Keyword(s):  
High Risk ◽  
Poor Prognosis ◽  
Gene Signature ◽  
Response Strength ◽  
Gene Expression Omnibus ◽  
Immune Microenvironment ◽  
Prognostic Predictor ◽  
Molecular Features ◽  
Tumor Immune Microenvironment ◽  
Immunosuppressive Microenvironment

Osteosarcoma is a quickly developing, malignant cancer of the bone, which is associated with a bad prognosis. In osteosarcoma, hypoxia promotes the malignant phenotype, which results in a cascade of immunosuppressive processes, poor prognosis, and a high risk of metastasis. Nonetheless, additional methodologies for the study of hyperoxia in the tumor microenvironment also need more analysis. We obtained 88 children patients with osteosarcoma from the Therapeutically Applicable Research to Generate Effective Treatment (TARGET) database and 53 children patients with RNA sequence and clinicopathological data from the Gene Expression Omnibus (GEO). We developed a four-gene signature related to hypoxia to reflect the immune microenvironment in osteosarcoma that predicts survival. A high-risk score indicated a poor prognosis and immunosuppressive microenvironment. The presence of the four-gene signature related to hypoxia was correlated with clinical and molecular features and was an important prognostic predictor for pediatric osteosarcoma patients. In summary, we established and validated a four-gene signature related to hypoxia to forecast recovery and presented an independent prognostic predictor representing overall immune response strength within the osteosarcoma microenvironment.

scholarly journals Characterization of the m6A-Associated Tumor Immune Microenvironment in Prostate Cancer to Aid Immunotherapy

2021 ◽  
Vol 12 ◽  
Author(s):  
Zezhen Liu ◽  
Jiehui Zhong ◽  
Jie Zeng ◽  
Xiaolu Duan ◽  
Jianming Lu ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Poor Prognosis ◽  
Response Rate ◽  
Checkpoint Inhibitors ◽  
Cell Infiltration ◽  
Intratumor Heterogeneity ◽  
Immune Microenvironment ◽  
Th2 Cell ◽  
Tumor Immune Microenvironment

The aim of this study was to elucidate the correlation between m6A modification and the tumor immune microenvironment (TIME) in prostate cancer (PCa) and to identify the m6A regulation patterns suitable for immune checkpoint inhibitors (ICIs) therapy. We evaluated the m6A regulation patterns of PCa based on 24 m6A regulators and correlated these modification patterns with TIME characteristics. Three distinct m6A regulation patterns were determined in PCa. The m6A regulators cluster with the best prognosis had significantly increased METTL14 and ZC3H13 expression and was characterized by low mutation rate, tumor heterogeneity, and neoantigens. The m6A regulators cluster with a poor prognosis had markedly high KIAA1429 and HNRNPA2B1 expression and was characterized by high intratumor heterogeneity and Th2 cell infiltration, while low Th17 cell infiltration and Macrophages M1/M2. The m6Ascore was constructed to quantify the m6A modification pattern of individual PCa patients based on m6A-associated genes. We found that the low-m6Ascore group with poor prognosis had a higher immunotherapeutic response rate than the high-m6Ascore group. The low-m6Ascore group was more likely to benefit from ICIs therapy. This study was determined that immunotherapy is more effective in low-m6Ascore PCa patients with poor prognosis.

scholarly journals Immunophenotypes Based on the Tumor Immune Microenvironment Allow for Unsupervised Penile Cancer Patient Stratification

Cancers ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 1796 ◽  
Author(s):  
Chengbiao Chu ◽  
Kai Yao ◽  
Jiangli Lu ◽  
Yijun Zhang ◽  
Keming Chen ◽  
...  
Keyword(s):  
T Cells ◽  
Cell Death ◽  
Programmed Cell Death ◽  
Cytotoxic T Lymphocyte ◽  
Granzyme B ◽  
Expression Patterns ◽  
Tumor Infiltrating Lymphocytes ◽  
Immune Checkpoints ◽  
Immune Microenvironment ◽  
Tumor Immune Microenvironment

The tumor immune microenvironment (TIME) plays an important role in penile squamous cell carcinoma (peSCC) pathogenesis. Here, the immunophenotype of the TIME in peSCC was determined by integrating the expression patterns of immune checkpoints (programmed cell death-1 (PD-1)/programmed cell death ligand-1 (PD-L1), cytotoxic T lymphocyte antigen 4 (CTLA-4), and Siglec-15) and the components of tumor-infiltrating lymphocytes, including CD8+ or Granzyme B+ T cells, FOXP3+ regulatory T cells, and CD68+ or CD206+ macrophages, in 178 patients. A high density of Granzyme B, FOXP3, CD68, CD206, PD-1, and CTLA-4 was associated with better disease-specific survival (DSS). The patients with diffuse PD-L1 tumor cell expression had worse prognoses than those with marginal or negative PD-L1 expression. Four immunophenotypes were identified by unsupervised clustering analysis, based on certain immune markers, which were associated with DSS and lymph node metastasis (LNM) in peSCC. There was no significant relationship between the immunophenotypes and high-risk human papillomavirus (hrHPV) infection. However, the hrHPV–positive peSCC exhibited a higher density of stromal Granzyme B and intratumoral PD-1 than the hrHPV–negative tumors (p = 0.049 and 0.002, respectively). In conclusion, the immunophenotypes of peSCC were of great value in predicting LNM and prognosis, and may provide support for clinical stratification management and immunotherapy intervention.

scholarly journals A Hypoxia Signature for Predicting Prognosis and Tumor Immune Microenvironment in Adrenocortical Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xi Chen ◽  
Lijun Yan ◽  
Yu Lu ◽  
Feng Jiang ◽  
Ni Zeng ◽  
...  
Keyword(s):  
Regression Analysis ◽  
High Risk ◽  
Adrenocortical Carcinoma ◽  
Risk Group ◽  
Gene Signature ◽  
High Risk Group ◽  
Immune Microenvironment ◽  
Gene Sets ◽  
Tumor Immune Microenvironment ◽  
Hypoxia Signature

Adrenocortical carcinoma (ACC) is a rare malignancy with dismal prognosis. Hypoxia is one of characteristics of cancer leading to tumor progression. For ACC, however, no reliable prognostic signature on the basis of hypoxia genes has been built. Our study aimed to develop a hypoxia-associated gene signature in ACC. Data of ACC patients were obtained from TCGA and GEO databases. The genes included in hypoxia risk signature were identified using the Cox regression analysis as well as LASSO regression analysis. GSEA was applied to discover the enriched gene sets. To detect a possible connection between the gene signature and immune cells, the CIBERSORT technique was applied. In ACC, the hypoxia signature including three genes (CCNA2, COL5A1, and EFNA3) was built to predict prognosis and reflect the immune microenvironment. Patients with high-risk scores tended to have a poor prognosis. According to the multivariate regression analysis, the hypoxia signature could be served as an independent indicator in ACC patients. GSEA demonstrated that gene sets linked to cancer proliferation and cell cycle were differentially enriched in high-risk classes. Additionally, we found that PDL1 and CTLA4 expression were significantly lower in the high-risk group than in the low-risk group, and resting NK cells displayed a significant increase in the high-risk group. In summary, the hypoxia risk signature created in our study might predict prognosis and evaluate the tumor immune microenvironment for ACC.

scholarly journals 420 PROSTVAC in combination with nivolumab enhanced immune cell infiltration in prostate cancer

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A450-A450
Author(s):  
Shania Bailey ◽  
Wiem Lassoued ◽  
Antonios Papanicolau-Sengos ◽  
Jennifer Marte ◽  
Nikki Williams ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
T Cell ◽  
Cd8 T Cells ◽  
Immune Cell ◽  
Cell Infiltration ◽  
Immune Microenvironment ◽  
Invasive Margin ◽  
Control Tumor Growth ◽  
Tumor Immune Microenvironment ◽  
Control Tumor

BackgroundProstate cancer (PC) is the most common non-cutaneous diagnosed cancer among men in USA.1 Although clinical outcomes are favorable for patients with localized disease, 20–30% of patients will develop metastatic prostate cancer (mPC) and have poor prognosis. Immunotherapy, as a single agent, provides benefit to a small subset of PC patients, which is thought to be partially due to its known cold tumor immune microenvironment (TIME). Combination studies are needed to enhance benefit.2 Prostvac is a therapeutic cancer vaccine engineered to activate an immune response against prostate-specific Antigen (PSA).3 Prostvac alone could induce systemic immune response by increasing immune-cell infiltrates in and around the tumor.4 In this study, we are exploring the effect of Prostvac in combination with nivolumab in TIME in prostate cancer.MethodsWe treated locally advanced prostate cancer patients (n=6) undergoing radical prostatectomy (RP) with neoadjuvant Prostvac in combination with nivolumab, an immune checkpoint PD-1 inhibitor. Dynamic changes in TIME before and after treatment were studied using multiplex immunofluorescence (Opal Method). Formalin fixed paraffin-embedded sections from matched pre-treated prostate biopsies and post-treated RP samples were stained with a validated T cell panel (DAPI, CD4, CD8, FOXP3, Ki67, Pan CK and PD-L1). To analyze the data, TIME was segmented into 3 compartments: intratumoral, invasive margin and benign.ResultsCombination immunotherapy significantly increased CD4+ T cell density in the invasive margin (mean 211.5 cells/mm2 vs 592.2 cells/mm2, p<0.05), with similar trend in the intratumoral and the benign compartments. CD8+ T cell density increased after treatment in the invasive margin (mean 47.25 cells/mm2 vs 157cells/mm2) and the benign compartment. 5/6 and 4/6 patients showed more than 2-fold increase of CD4 and CD8 T cells in the TIME, respectively, in at least one of the three compartments. Increased proliferative indices in CD4+ and CD8+ T cells were also seen after treatment. Tregs were present in low frequencies in TIME (maximum of 12 cells/mm2) with no significant changes. Moreover, a significant drop in tumor cell Ki67 after treatment (mean 252.8 cells/mm2 vs 100.5 cells/332, p<0.05) suggests that the combination may control tumor growth.ConclusionsThe combination of Neoadjuvant Prostvac and nivolumab was associated with increased immune cell infiltration in a cohort of early prostate cancer patients. A broader examination of the TIME and the role immune cells undertake to control tumor growth is on-going.Trial RegistrationNCT02933255ReferencesSiegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin (Internet) 2020;70:7–3Zhao SG, Lehrer J, Chang SL, et al. The immune landscape of prostate cancer and nomination of PD-L2 as a potential therapeutic target. J Natl Cancer Inst 2018;111:301–10.Madan RA, Arlen PM, Mohebtash M, et al. Prostvac-VF: a vectorbased vaccine targeting PSA in prostate cancer. Expert Opin Investig Drugs 2009;18:1001–11Abdul Sater H, Marté JL, Donahue RN, et al. Neoadjuvant PROSTVAC prior to radical prostatectomy enhances T-cell infiltration into the tumor immune microenvironment in men with prostate cancer. J Immunother Cancer 2020;8(1):655–64Ethics ApprovalThis study was performed in compliance with ethical standard and was approved by the NIH IRB, 17C-0007. All patients participating in this study gave an informed consent before taking part.

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