T cell-inflamed phenotype and increased Foxp3 expression in infiltrating T-cells of mismatch-repair deficient endometrial cancers

Association of peripheral monocytic myeloid-derived suppressor cells with molecular subtypes in single-center endometrial cancer patients receiving carboplatin + paclitaxel/avelumab (MITO-END3 trial)

The MITO-END3 trial compared carboplatin and paclitaxel (CP) with avelumab plus carboplatin and paclitaxel (CPA) as first-line treatment in endometrial cancer (EC) patients and demonstrated a significant interaction between avelumab response and mismatch repair status. To investigate prognostic/predictive biomarker, 29 MITO-END3-EC patients were evaluated at pretreatment (B1) and at the end of CP/CPA treatment (B2) for peripheral myeloid-derived suppressor cells (MDSC) and Tregs. At B2, effector Tregs frequency was significantly higher in patients treated with CPA as compared to CP (p = 0.038). Both treatments (CP/CPA) induced significant decrease in peripheral M-MDSC (- 5.41%) in TCGA 2-MSI-high as compared to TCGA-category 4 tumors (p = 0.004). In accordance, both treatments induced M-MDSCs (+ 5.34%) in MSS patients as compared to MSI-high patients (p = 0.001). Moreover, in a subgroup of patients, primary tumors were highly infiltrated by M-MDSCs in MSS as compared to MSI-high ECs. A post hoc analysis displayed higher frequency of M-MDSCs (p = 0.020) and lower frequency of CD4+ (p < 0.005) at pretreatment in EC patients as compared to healthy donors. In conclusion, the peripheral evaluation of MDSCs and Tregs correlated with molecular features in EC treated with CP/CPA and may add insights in identifying EC patients responder to first-line chemo/chemo-immunotherapy.

Activated immune infiltrates expand opportunities for targeted therapy in p53-abnormal endometrial carcinoma

Tumor protein p53 mutated/abnormal (p53abn) endometrial carcinomas account for over 50% of deaths but comprise only 15% of all endometrial carcinomas. Most patients show limited response to standard-of-care chemotherapy with or without radiotherapy, and only a minority of cases are amenable to targeted therapies like poly-ADP ribose polymerase (PARP) inhibitors and HER2-directed therapies. Recent immunotherapy clinical trials have demonstrated remarkable efficacy, not only in mismatch repair deficient (MMRd) tumors but also in a subset of mismatch repair-proficient (MMRp) tumors. However, the immune microenvironment and its relationship to other therapeutic targets in MMRp endometrial carcinoma remains poorly understood. Here, we characterize the immune microenvironment of p53abn endometrial carcinoma, the most clinically aggressive subtype of MMRp endometrial carcinoma, and correlate antitumor immune signatures with other targetable alterations. We accrued 256 treatment-naïve p53abn endometrial carcinomas and systemically profiled T-cell, B-cell, myeloid, and tumor-cell populations with multiplex immunofluorescence to assess the tissue localization and functional status of immune cells. Shallow whole-genome sequencing was performed on a subset of 126 cases. Patterns of immune infiltration were compared to survival outcomes and mutational signatures. Mixture modeling divided p53abn endometrial carcinoma into tumor-infiltrating lymphocyte (TIL)-rich and TIL-poor subsets. Over 50% of tumors were TIL-rich. TIL-rich cases overexpressed targetable immune evasion molecules and were associated with longer overall and disease-specific survival in multivariate analysis. This effect was particularly pronounced in advanced stage disease and in patients who did not receive adjuvant chemotherapy. TIL did not associate with homologous recombination deficient mutational signatures or HER2 amplification. Our findings demonstrate a biological rationale for immunotherapy in a substantial subset of patients with p53abn endometrial cancer and may help inform combination therapies with immune checkpoint inhibition, PARP inhibitors, and anti-HER2 agents. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.

Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer

In endometrial cancer (EC) and colorectal cancer (CRC), in addition to microsatellite instability, tumor mutational burden (TMB) has gradually gained attention as a genomic biomarker that can be used clinically to determine which patients may benefit from immune checkpoint inhibitors. High TMB is characterized by a large number of mutated genes, which encode aberrant tumor neoantigens, and implies a better response to immunotherapy. Hence, a part of EC and CRC patients associated with high TMB may have higher chances to receive immunotherapy. TMB measurement was mainly evaluated by whole-exome sequencing or next-generation sequencing, which was costly and difficult to be widely applied in all clinical cases. Therefore, an effective, efficient, low-cost and easily accessible tool is urgently needed to distinguish the TMB status of EC and CRC patients. In this study, we present a deep learning framework, namely Ensemble Transformer-based Multiple Instance Learning with Self-Supervised Learning Vision Transformer feature encoder (ETMIL-SSLViT), to predict pathological subtype and TMB status directly from the H&E stained whole slide images (WSIs) in EC and CRC patients, which is helpful for both pathological classification and cancer treatment planning. Our framework was evaluated on two different cancer cohorts, including an EC cohort with 918 histopathology WSIs from 529 patients and a CRC cohort with 1495 WSIs from 594 patients from The Cancer Genome Atlas. The experimental results show that the proposed methods achieved excellent performance and outperforming seven state-of-the-art (SOTA) methods in cancer subtype classification and TMB prediction on both cancer datasets. Fisher's exact test further validated that the associations between the predictions of the proposed models and the actual cancer subtype or TMB status are both extremely strong (p<0.001). These promising findings show the potential of our proposed methods to guide personalized treatment decisions by accurately predicting the EC and CRC subtype and the TMB status for effective immunotherapy planning for EC and CRC patients.

The expression of BHLHE22 in endometrial carcinoma: Associations with mismatch repair protein expression status, tumor-infiltrating immune cells, programmed death-ligand 1 and clinical outcomes

OBJECTIVE

Endometrial cancer (EC) shows substantial heterogeneity in their immune microenvironment. BHLHE22 is consistently hypermethylated in EC and high expression of BHLHE22 is likely to be immunosuppressive in the tumor microenvironment. Herein, we evaluated expression of BHLHE22, programmed cell death ligand-1 (PD-L1), CD8, CD68 and mismatch repair proteins in EC.

MATERIALS AND METHODS

Immunohistochemistry on tissue microarray sections in primary EC to quantify BHLHE22, PD-L1, CD8 and CD68 was performed. The associations between the clinicopathological characteristics, mismatch repair status, and Kaplan-Meier analyses (including The Cancer Genome Atlas (TCGA) dataset) were analyzed.

RESULTS

Twenty-nine of 109 cases (26.6 %) had high BHLHE22 expression, which was associated with higher tumoral CD8, higher stromal CD68 and lower progesterone receptor (PR). Survival analysis of the TCGA dataset showed better overall survival in subgroups with high BHLHE22/high CD8, high BHLHE22/low M2 macrophage, and high BHLHE22/low myeloid-derived suppressor cell. The transcription start site region of BHLHE22 contained many predicted PR-binding elements. In EC cells, BHLHE22 expression increased with time after exposure to progesterone. Of the 115 ECs, 29 (25.2 %) had microsatellite instability. Mismatch repair-deficient ECs exhibited significantly more CD8-positive tumoral/stromal T lymphocytes and macrophages, and a higher percentage of PD-L1-positive immune cells occupying the tumor. Low expression of stromal CD8 and tumoral CD68 was associated with better overall survival. Overall survival did not differ significantly between patients with low or high PD-L1 expression.

CONCLUSION

Increased numbers of CD8-positive cytotoxic T lymphocytes, CD68-positive macrophages, and PD-L1-positive tumor/immune cells were observed in MMR-deficient EC. BHLHE22 expression was associated with the PR regulatory and immune-related pathways.

The identification of key genes and pathways in polycystic ovary syndrome by bioinformatics analysis of next-generation sequencing data

Background

Polycystic ovary syndrome (PCOS) is a reproductive endocrine disorder. The specific molecular mechanism of PCOS remains unclear. The aim of this study was to apply a bioinformatics approach to reveal related pathways or genes involved in the development of PCOS.

Methods

The next-generation sequencing (NGS) dataset GSE199225 was downloaded from the gene expression omnibus (GEO) database and NGS dataset analyzed is obtained from in vitro culture of PCOS patients’ muscle cells and muscle cells of healthy lean control women. Differentially expressed gene (DEG) analysis was performed using DESeq2. The g:Profiler was utilized to analyze the gene ontology (GO) and REACTOME pathways of the differentially expressed genes. A protein–protein interaction (PPI) network was constructed and module analysis was performed using HiPPIE and cytoscape. The miRNA-hub gene regulatory network and TF-hub gene regulatory network were constructed. The hub genes were validated by using receiver operating characteristic (ROC) curve analysis.

Results

We have identified 957 DEG in total, including 478 upregulated genes and 479 downregulated gene. GO terms and REACTOME pathways illustrated that DEG were significantly enriched in regulation of molecular function, developmental process, interferon signaling and platelet activation, signaling, and aggregation. The top 5 upregulated hub genes including HSPA5, PLK1, RIN3, DBN1, and CCDC85B and top 5 downregulated hub genes including DISC1, AR, MTUS2, LYN, and TCF4 might be associated with PCOS. The hub gens of HSPA5 and KMT2A, together with corresponding predicted miRNAs (e.g., hsa-mir-34b-5p and hsa-mir-378a-5p), and HSPA5 and TCF4 together with corresponding predicted TF (e.g., RCOR3 and TEAD4) were found to be significantly correlated with PCOS.

Conclusions

These study uses of bioinformatics analysis of NGS data to obtain hub genes and key signaling pathways related to PCOS and its associated complications. Also provides novel ideas for finding biomarkers and treatment methods for PCOS and its associated complications.

Association of glutaminase expression with immune-suppressive tumor microenvironment, clinicopathologic features, and clinical outcomes in endometrial cancer

OBJECTIVE

Increased glutamine metabolism by cancer cells via upregulation of the drug-targetable enzyme glutaminase may contribute to an immune-suppressive tumor microenvironment. Inhibiting glutamine metabolism can not only suppress tumor growth, but also enhance tumor-specific immunity. We investigated the relationship between glutaminase expression, the immune tumor microenvironment, and clinicopathologic features in endometrial cancer.

METHODS

Tissue microarrays constructed from 87 primary endometrial cancer specimens were stained by immunohistochemistry for glutaminase, c-Myc, mutL homolog 1 (MLH1), mutS homolog 2 (MSH2), mutS homolog 6 (MSH6), postmeiotic segregation increased 2 (PMS2), estrogen receptor (ER), progresterone receptor (PR), CD8, FoxP3, CD68, programmed cell death protein 1 (PD-1), and programmed cell death ligand 1 (PD-L1). We compared the immune tumor microenvironment and clinicopathologic features between glutaminase-high (H-score≥median) versus glutaminase-low (H-score

RESULTS

In the tissue microarray analysis, glutaminase expression was positively correlated with c-Myc expression (r=0.4226, p<0.0001). Glutaminase-high endometrial cancers were associated with non-endometrioid histology (p=0.0001), high histologic grade (p=0.0004), myometrial invasion (p=0.017), advanced stage (p=0.012), increased FoxP3+ regulatory T cells (p=0.008), increased CD68+ tumor-associated macrophages (p=0.010), and higher PD-L1 combined positive scores (p=0.043). In the TCGA analysis, glutaminase-high (RNA-Seq Z-score≥median) patients showed worse overall (p=0.004) and progression-free (p=0.032) survival than glutaminase-low (RNA-Seq score

CONCLUSIONS

Our findings indicate that increased glutaminase expression is associated with an immune-suppressive tumor microenvironment, poor clinicopathologic features, and worse long-term outcomes in patients with endometrial cancer.

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Key Words

• Immunotherapy
• Pathology
• Uterine Cancer

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MESH Headings

• Tumor Microenvironment/genetics
• Tumor Microenvironment/immunology
• Tumor Escape/genetics
• Tumor Escape/immunology
• Endometrial Neoplasms/genetics
• Endometrial Neoplasms/immunology
• Endometrial Neoplasms/mortality
• Endometrial Neoplasms/pathology
• Glutaminase/analysis
• Glutaminase/genetics
• Glutaminase/metabolism
• RNA-Seq
• Gene Expression Regulation, Neoplastic/immunology
• Proto-Oncogene Proteins c-myc/analysis
• Proto-Oncogene Proteins c-myc/genetics
• Proto-Oncogene Proteins c-myc/metabolism
• Endometrium/immunology
• Endometrium/pathology
• Myometrium/immunology
• Myometrium/pathology
• Neoplasm Invasiveness/genetics
• Neoplasm Invasiveness/immunology
• B7-H1 Antigen/analysis
• B7-H1 Antigen/genetics
• B7-H1 Antigen/metabolism
• Neoplasm Staging
• Progression-Free Survival
• Follow-Up Studies
• Prognosis
• Humans
• Female
• Adult
• Middle Aged
• Aged
• Aged, 80 and over
• Tissue Array Analysis

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Grants

• P30 CA006973 NCI NIH HHS
• P50 CA228991 NCI NIH HHS

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Affiliation(s)

Shiho Asaka Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Laboratory Medicine, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
Neha Verma Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Ting-Tai Yen Department of Gynecology and Obstetrics, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Jessica L Hicks Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Hiro Nonogaki Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Yao-An Shen Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Pathology, Taipei Medical University, Taipei, Taiwan
Jiaxin Hong Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Ryoichi Asaka Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Obstetrics and Gynecology, Shinshu University School of Medicine, Matsumoto, Nagano, Japan
Angelo M DeMarzo Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Tian-Li Wang Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Gynecology and Obstetrics, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Ie-Ming Shih Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Gynecology and Obstetrics, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Pathology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Stephanie Gaillard Department of Oncology, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA Department of Gynecology and Obstetrics, The Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins School of Medicine, Baltimore, Maryland, USA

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Molecular Classification of Endometrial Cancer and Its Impact on Therapy Selection

Endometrial cancer (EC) accounts for 90% of uterine cancer cases. It is considered not only one of the most common gynecological malignancies but also one of the most frequent cancers among women overall. Nowadays, the differentiation of EC subtypes is based on immunohistochemistry and molecular techniques. It is considered that patients' prognosis and the implementation of the appropriate treatment depend on the cancer subtype. Patients with pathogenic variants in POLE have the most favorable outcome, while those with abnormal p53 protein have the poorest. Therefore, in patients with POLE mutation, the de-escalation of postoperative treatment may be considered, and patients with abnormal p53 protein should be subjected to intensive adjuvant therapy. Patients with a DNA mismatch repair (dMMR) deficiency are classified in the intermediate prognosis group as EC patients without a specific molecular profile. Immunotherapy has been recognized as an effective treatment method in patients with advanced or recurrent EC with a mismatch deficiency. Thus, different adjuvant therapy approaches, including targeted therapy and immunotherapy, are being proposed depending on the EC subtype, and international guidelines, such as those published by ESMO and ESGO/ESTRO/ESP, include recommendations for performing the molecular classification of all EC cases. The decision about adjuvant therapy selection has to be based not only on clinical data and histological type and stage of cancer, but, following international recommendations, has to include EC molecular subtyping. This review describes how molecular classification could support more optimal therapeutic management in endometrial cancer patients.

Mismatch repair gene MSH6 correlates with the prognosis, immune status and immune checkpoint inhibitors response of endometrial cancer

Objective

Many patients treated with immune checkpoint inhibitors (ICIs) developed primary or secondary drug resistance for unknown reasons. This study investigates whether mismatch repair (MMR) genes are responsible for this therapeutic restriction.

Methods

We obtained the transcriptional, clinical and single nucleotide polymorphism data for endometrial cancer (EC) from The Cancer Genome Atlas and the immunophenoscore data of EC from The Cancer Immunome Atlas, then analyzed in R to evaluate the relationship between MMR genes and clinicopathological features, prognosis, immune infiltration, immune checkpoint expression and responsiveness to ICIs in EC. We used differentially expressed genes in the MSH6 high and low expression groups to conduct GO and KEGG analyses to explore the impact of MSH6 on the biological functions of EC. Finally, we verified the bioinformatics results with in vitro experiments.

Results

Our analyses showed that compared with the high MSH6 expression group, the low MSH6 expression group had better survival outcomes and less aggressive clinicopathological features. In the multivariate Cox analysis, MSH6 was the only independent risk factor that could predict the prognosis of EC. Besides, the low MSH6 expression group also had a higher immune score, more active immune infiltration and higher immune checkpoint expression, resulting in better responsiveness to ICIs treatment, consistent with the enrichment of GO terms and KEGG pathways related to immune response in this group. Meanwhile, the GO and KEGG enrichment results of the MSH6 high expression group were associated with cell cycle, DNA damage repair and tumorigenesis. To exclude the influence of MSH6 mutations, we performed the previous analyses on the MSH6 wild-type tumor samples and obtained consistent results. In vitro experiments also confirmed that after knocking down MSH6 in endometrial cancer cells, their proliferation, migration and invasion abilities were weakened, while the expression levels of PD-L1 and PD-L2 were elevated. In comparison, overexpression of MSH6 showed an opposite trend.

Conclusion

Reduced MSH6 expression could serve as a potential biomarker for predicting better prognosis, active immune status, higher immune checkpoint expression level and better responsiveness to ICIs treatment in EC. MSH6 may become a potential target for treating solid tumors.

Expression of PD-1 and PD-L1 in Endometrial Cancer: Molecular and Clinical Significance

The landscape of diagnosing and treating endometrial cancer is undergoing a profound transformation due to the integration of molecular analysis and innovative therapeutic approaches. For several decades, the cornerstone treatments for endometrial cancer have included surgical resection, cytotoxic chemotherapy, hormonal therapy, and radiation therapy. However, in recent years, the concept of personalised medicine has gained momentum, reshaping the way clinicians approach cancer treatment. Tailoring treatments based on specific biomarkers has evolved into a standard practice in both initial and recurrent therapy protocols. This review aims to provide an in-depth exploration of the current state of molecular analysis and treatment strategies in the context of endometrial cancer, focusing on the immunological aspect of the PD-1/PD-L1 axis. Furthermore, it seeks to shed light on emerging and innovative approaches that hold promise for the future modulation of endometrial cancer treatments. In essence, as researchers delve into the complex molecular landscape of endometrial cancer and harness the understanding of the PD-1/PD-L1 axis, we are paving the way for more targeted, effective, and personalised therapies that have the potential to significantly improve the outcomes and quality of life for patients with this challenging disease.

New insights for gynecological cancer therapies: from molecular mechanisms and clinical evidence to future directions

Advanced and recurrent gynecological cancers lack effective treatment and have poor prognosis. Besides, there is urgent need for conservative treatment for fertility protection of young patients. Therefore, continued efforts are needed to further define underlying therapeutic targets and explore novel targeted strategies. Considerable advancements have been made with new insights into molecular mechanisms on cancer progression and breakthroughs in novel treatment strategies. Herein, we review the research that holds unique novelty and potential translational power to alter the current landscape of gynecological cancers and improve effective treatments. We outline the advent of promising therapies with their targeted biomolecules, including hormone receptor-targeted agents, inhibitors targeting epigenetic regulators, antiangiogenic agents, inhibitors of abnormal signaling pathways, poly (ADP-ribose) polymerase (PARP) inhibitors, agents targeting immune-suppressive regulators, and repurposed existing drugs. We particularly highlight clinical evidence and trace the ongoing clinical trials to investigate the translational value. Taken together, we conduct a thorough review on emerging agents for gynecological cancer treatment and further discuss their potential challenges and future opportunities.

Construction of the novel immune risk scoring system related to CD8+ T cells in uterine corpus endometrial carcinoma

BACKGROUND

Uterine corpus endometrial carcinoma (UCEC) is a gynecological malignant tumor with high incidence and poor prognosis. Although immunotherapy has brought significant survival benefits to advanced UCEC patients, traditional evaluation indicators cannot accurately identify all potential beneficiaries of immunotherapy. Consequently, it is necessary to construct a new scoring system to predict patient prognosis and responsiveness of immunotherapy.

METHODS

CIBERSORT combined with weighted gene co-expression network analysis (WGCNA), non-negative matrix factorization (NMF), and random forest algorithms to screen the module associated with CD8⁺ T cells, and key genes related to prognosis were selected out by univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses to develop the novel immune risk score (NIRS). Kaplan-Meier (K-M) analysis was used to compare the difference of survival between high- and low- NIRS groups. We  also explored the correlations between NIRS, immune infiltration and immunotherapy, and three external validation sets were used to verify the predictive performance of NIRS. Furthermore, clinical subgroup analysis, mutation analysis, differential expression of immune checkpoints, and drug sensitivity analysis were performed to generate individualized treatments for patients with different risk scores. Finally, gene set variation analysis (GSVA) was conducted to explore the biological functions of NIRS, and qRT-PCR was applied to verify the differential expressions of three trait genes at cellular and tissue levels.

RESULTS

Among the modules clustered by WGCNA, the magenta module was most positively associated with CD8⁺ T cells. Three genes (CTSW, CD3D and CD48) were selected to construct NIRS after multiple screening procedures. NIRS was confirmed as an independent prognostic factor of UCEC, and patients with high NIRS had significantly worse prognosis compared to those with low NIRS. The high NIRS group showed lower levels of infiltrated immune cells, gene mutations, and expression of multiple immune checkpoints, indicating reduced sensitivity to immunotherapy. Three module genes were identified as protective factors positively correlated with the level of CD8⁺ T cells.

CONCLUSIONS

In this study, we constructed NIRS as a novel predictive signature of UCEC. NIRS not only differentiates patients with distinct prognoses and immune responsiveness, but also guides their therapeutic regimens.

Presence of regulatory T-cells in endometrial cancer predicts poorer overall survival and promotes progression of tumor cells

PURPOSE

Endometrial cancer (EC) is one of the most common gynaecologic malignancies. Tumor infiltrating regulatory T-cells (Treg) have been reported to have a prognostic impact in many malignancies. Immunotherapeutic strategies are gaining interest for advanced and recurrent EC cases, where treatment options are rare. Our study was aimed at determining the value of Treg in EC progression.

METHODS

EC specimens from 275 patients and 28 controls were screened immunohistochemically for the presence of Treg represented by FoxP3. Correlations with clinicopathological and survival parameters were performed. Functional assays were performed using EC cell lines Ishikawa + and RL95-2 after co-culturing with isolated CD4 + CD25 + CD127dim Treg. To assess the influence of EC on the composition of peripheral blood mononuclear cells (PBMC), flow cytometric analyses were performed.

RESULTS

We found that an increased infiltration of Treg was associated with high grades and a reduced overall survival. Treg were almost absent in endometrium tissues from healthy control patients. Co-culture of tumor cells with CD4 + CD25 + CD127dim Treg led to functional changes: enhanced invasion, migration and viability indicated that increased levels of Treg in the tumor microenvironment may promote tumor growth. Furthermore, we found that the presence of EC cells led to phenotypic changes in PBMC, showing significantly increased levels of CD25 and FoxP3.

CONCLUSION

Our results indicate that the presence of Treg in the EC tumor environment is associated with a poorer outcome. A remarkable impact of Treg on tumor cell behaviour and vice versa of tumor cells on PBMC subpopulations support this notion mechanistically. Our findings provide a basis for focusing on Treg as potential future therapeutic targets in EC.

Prevalence and prognostic significance of PD-L1, TIM-3 and B7-H3 expression in endometrial serous carcinoma

Endometrial serous carcinoma (ESC) is an aggressive type of endometrial carcinoma with a poor prognosis. Immune checkpoint blockade has evolved as a novel treatment option for endometrial cancers; however, data on expression of immune checkpoints that may be potential targets for immunotherapy in ESC are limited. We analyzed the prevalence and prognostic significance of PD-L1, TIM-3 and B7-H3 immune checkpoints in 99 ESC and evaluated their correlation with CD8 + tumor infiltrating lymphocytes. Applying the tumor proportion score (TPS) with a cutoff of 1%, PD-L1, TIM-3 and B7-H3 expression was present in 17%, 10% and 93% of cases, respectively. Applying the combined positive score (CPS) with a cutoff of 1, PD-L1, TIM-3 and B7-H3 expression was present in 63%, 67% and 94% of cases, respectively. Expression of these markers was largely independent of one another. PD-L1 correlated with higher CD8 + T-cell density when evaluated by either TPS (p = 0.02) or CPS (p < 0.0001). TIM-3 correlated with CD8 + T-cell density when evaluated by CPS (p < 0.0001). PD-L1 positivity was associated with improved overall survival (p = 0.038) when applying CPS. No association between PD-L1 expression and survival was found using TPS, and there was no association between TIM-3 or B7-H3 positivity and survival by either TPS or CPS. Using TPS, PD-L1 correlated with a higher tumor stage but not with survival, whereas the converse was true when PD-L1 was evaluated by CPS, suggesting that PD-L1 expression in immune cells correlates with prognosis and is independent of tumor stage. In conclusion, PD-L1, TIM-3 and B7-H3 may be potential therapeutic targets in selected patients with ESC. Further investigation of their roles as predictive biomarkers is needed.

T-Cell Density at the Invasive Margin and Immune Phenotypes Predict Outcome in Vulvar Squamous Cell Cancer

Background: Although quantification of tumor infiltrating lymphocytes (TILs) has become of increasing interest in immuno-oncology, only little is known about TILs infiltration in the tumor microenvironment and its predictive value in vulvar cancer. Methods: Immunohistochemistry and automated digital image analysis was applied to measure the densities of CD3+ (DAKO, #IR503) and CD8+ (DAKO, #IR623) TILs at the invasive margin and in the center of 530 vulvar squamous cell cancers. Results: An elevated density of CD3+ T-cell at the invasive margin was significantly associated with low tumor stage (p = 0.0012) and prolonged survival (overall survival [OS] p = 0.0027, progression free survival [PFS] p = 0.024) and was independent from tumor stage, nodal stage, grade, and HPV-status in multivariate analysis (p < 0.05). The prognostic impact of CD3+ cells in the center of the tumor was weaker compared to the invasive margin (OS p = 0.046, PFS p = 0.031) and lacking for CD8+ T-cell densities at any location (p ≥ 0.14 each). Unsupervised clustering of CD3+ and CD8+ T-cell densities identified three major subgroups corresponding to the immune desert (137 patients), immune excluded (220 patients) and immune inflamed phenotypes (133 patients). Survival analysis revealed a particular poor prognosis for the immune desert phenotype for OS (p = 0.0071) and PFS (p = 0.0027). Conclusion: Our data demonstrate a high prognostic value of CD3+ T-cells at the invasive margin and immune phenotypes in vulvar squamous cell cancer.

Overcoming resistance to αPD-1 of MMR-deficient tumors with high tumor-induced neutrophils levels by combination of αCTLA-4 and αPD-1 blockers

BACKGROUND

Clinical studies have highlighted the efficacy of anti-programmed death 1 (αPD-1) monoclonal antibodies in patients with DNA mismatch repair-deficient (MMRD) tumors. However, the responsiveness of MMRD cancers to αPD-1 therapy is highly heterogeneous, and the origins of this variability remain not fully understood.

METHODS

4T1 and CT26 mouse tumor cell lines were inactivated for the MMRD gene Msh2, leading to a massive accumulation of mutations after serial passages of cells. Insertions/deletion events and mutation load were evaluated by whole exome sequencing. Mice bearing highly mutated MMRD tumor or parental tumors were treated with αPD-1 and tumor volume was monitored. Immune cell type abundance was dynamically assessed in the tumor microenvironment and the blood by flow cytometry. Neutrophils were depleted in mice using αLY6G antibody, and regulatory T (Treg) cell population was reduced with αCD25 or anti-cytotoxic T-lymphocytes-associated protein 4 (αCTLA-4) antibodies. Patients with MMRD tumors treated with immune checkpoint blockade-based therapy were retrospectively identified and neutrophil-to-lymphocyte ratio (NLR) was evaluated and examined for correlation with clinical benefit.

RESULTS

By recapitulating mismatch repair deficiency in different mouse tumor models, we revealed that elevated circulating tumor-induced neutrophils (TIN) in hypermutated MMRD tumors hampered response to αPD-1 monotherapy. Importantly, depletion of TIN using αLy-6G antibody reduced Treg cells and restored αPD-1 response. Conversely, targeting Treg cells by αCD25 or αCTLA-4 antibodies limited peripheral TIN accumulation and elicited response in αPD-1-resistant MMRD tumors, highlighting a crosstalk between TIN and Treg cells. Thus, αPD-1+αCTLA-4 combination overcomes TIN-induced resistance to αPD-1 in mice bearing MMRD tumors. Finally, in a cohort of human (high microsatellite instability)/MMRD tumors we revealed that early on-treatment change in the NLR ratio may predict resistance to αPD-1 therapy.

CONCLUSIONS

TIN countered αPD-1 efficacy in MMRD tumors. Since αCTLA-4 could restrict TIN accumulation, αPD-1+αCTLA-4 combination overcomes αPD-1 resistance in hosts with hypermutated MMRD tumors displaying abnormal neutrophil accumulation.

Current Prognostic and Predictive Biomarkers for Endometrial Cancer in Clinical Practice: Recommendations/Proposal from the Italian Study Group

Endometrial carcinoma (EC) is the most common gynecological malignant disease in high-income countries, such as European countries and the USA. The 2020 edition of the World Health Organization (WHO) Classification of Tumors of the Female Genital Tract underlines the important clinical implications of the proposed new histomolecular classification system for ECs. In view of the substantial genetic and morphological heterogeneity in ECs, both classical pthological parameters and molecular classifiers have to be integrated in the pathology report. This review will focus on the most commonly adopted immunohistochemical and molecular biomarkers in daily clinical characterization of EC, referring to the most recent published recommendations, guidelines, and expert opinions.

PD-L1 Expression in Mismatch Repair-deficient Endometrial Carcinoma and Tumor-associated Immune Cells: Differences Between MLH1 Methylated and Nonmethylated Subgroups

Mismatch repair (MMR)-deficient endometrial carcinomas show increased programmed cell death-ligand 1 (PD-L1) expression compared with MMR-intact endometrial carcinomas, but there are limited data regarding PD-L1 expression between sporadic and inherited carcinomas exhibiting MMR loss. Most of the studies investigating PD-L1 expression in endometrial carcinoma have used tissue microarrays and did not examine all tumor blocks. In this study, we analyzed the expression of PD-L1 in resection specimens of 176 consecutive endometrial carcinomas using all tumor blocks; we compared PD-L1 expression in MMR-deficient endometrial carcinomas, including the MLH1 and PMS2-loss subgroup, and the other MMR-loss subgroups (MSH2 and MSH6, isolated PMS2, and isolated MSH6), with the MMR-intact subgroup. MLH1 methylation was performed in tumors with MLH1 and PMS2 loss. Tumor cell (TC) and tumor-associated immune cell (IC) PD-L1 positivity with a 1% cutoff was observed in 21% (n=37) and 66.5% (n=117) of cases, respectively, and with a 5% cutoff in 5.1% (n=9) and 39.8% (n=70) of cases, respectively. MMR protein deficiency was a statistically significant parameter associated with IC PD-L1 positivity, with 1% and 5% cutoffs on multivariate analysis [odds ratio (OR)=5.236, 95% confidence interval (CI)=2.075-13.211, P=0.001, and OR=3.702, 95% CI=1.759-7.791, P=0.001, respectively]. The multivariate analysis showed that IC PD-L1 positivity, using both 1% and 5% cutoffs, was significantly associated with the MLH1 and PMS2 loss compared with the MMR protein-intact subgroup (MLH1 and PMS2 loss for 1% cutoff: OR=5.104, 95% CI=1.876-13.881, P=0.001, and for 5% cutoff: OR=3.322, 95% CI=1.540-7.166, P=0.002). Squamous differentiation was an independent predictor for TC PD-L1 positivity, with a 5% cutoff (OR=6.102, 95% CI=1.280-10.096, P=0.026). Larger tumor size was an independent predictive factor for IC PD-L1 positivity with a 1% cutoff (OR=6.757, 95% CI=1.569-29.109, P=0.010). Overall, 48 (92.3%) of 52 MLH1 methylated tumors showed IC PD-L1 positivity with 1% cutoff, and 34 (65.4%) of 52 MLH1 methylated tumors showed IC PD-L1 positivity with 5% cutoff. Our results show a higher rate of IC PD-L1 positivity than in previous studies. This is likely due in part to the use of all tumor blocks. MLH1 and PMS2 loss was an independent predictive factor for IC PD-L1 positivity, with both 1% and 5% cutoffs. Using univariate analysis, we observed decreased disease-free survival for IC PD-L1 positivity ≥5%. Our study results should now be tested and proven in larger cohorts, with longer follow-up data.

PD-L1 expression in tumor cells is associated with a favorable prognosis in patients with high-risk endometrial cancer

OBJECTIVE

To investigate programmed cell death ligand 1 (PD-L1) expression patterns and define the associations among PD-L1, molecular subtypes, pathological features, and survival in a cohort of 833 patients with endometrial cancer, of whom approximately half had high-risk disease.

METHODS

Using direct sequencing of the polymerase epsilon (POLE) exonuclease domain as well as immunohistochemistry for mismatch repair (MMR) proteins (MLH1, PMS2, MSH2, and MSH6) and p53, we stratified endometrial cancers into four molecular subtypes: POLE ultramutated, MMR-deficient, p53-mutant, and non-specific molecular profile (NSMP). PD-L1 was detected via immunohistochemistry and evaluated in tumor cells (TCs) and immune cells (ICs) individually and using the combined positive score (CPS).

RESULTS

Positive PD-L1 staining in TCs (≥1%), ICs (≥1%), and in combination (CPS ≥1) was detected in 14.0%, 37.3%, and 45.1% of the samples, respectively. PD-L1 positivity in TCs was more frequent in high-grade than in low-grade tumors, while that in ICs was associated with lymphovascular space invasion, non-endometrioid histology, and deep myometrial invasion. PD-L1 expression in both TCs and ICs was more frequent in POLE ultramutated and MMR-deficient subtypes than in p53-mutant and NSMP subtypes. PD-L1 positivity in TCs, but not in ICs or combined (CPS), was associated with a favorable prognosis in patients with high-risk endometrial cancer.

CONCLUSIONS

The distribution and prognostic significance of PD-L1 in TCs versus ICs differ in patients with endometrial cancer, indicating that the separate assessment of PD-L1 in these cells (rather than determining the CPS) may be more relevant to selecting patients eligible for endometrial cancer immunotherapy.

Endometrial Cancer Suppresses CD8+ T Cell-Mediated Cytotoxicity in Postmenopausal Women

Endometrial cancer is the most common gynecological cancer. To investigate how it suppresses host immune function, we isolated CD8+ T cells from endometrial endometroid carcinomas and adjacent non-cancerous endometrium and determined if the tumor environment regulates cytotoxic capacity. Endometrial carcinomas had increased numbers of CD8+ T cells compared to adjacent non-cancerous endometrium. Tumor CD8+ T cells expressed significantly less granzyme A (GZA), B (GZB), and PD-1 than those in adjacent non-cancerous tissues and also had significantly lower cytotoxic killing of allogeneic target cells. CD103-CD8+ T cells, but not CD103+CD8+ T cells, from both adjacent and tumor tissue were primarily responsible for killing of allogeneic target cells. Secretions recovered from endometrial carcinoma tissues suppressed CD8+ cytotoxic killing and lowered perforin, GZB and PD-1 expression relative to non-tumor CD8+ T cells. Furthermore, tumor secretions contained significantly higher levels of immunosuppressive cytokines including TGFβ than non-tumor tissues. Thus, the tumor microenvironment suppresses cytotoxic killing by CD8+ T cells via the secretion of immunosuppressive cytokines leading to decreased expression of intracellular cytolytic molecules. These studies demonstrate the complexity of CD8+ T cell regulation within the endometrial tumor microenvironment and provide a foundation of information essential for the development of therapeutic strategies for gynecological cancers.

Analysis of tumor mutation burden combined with immune infiltrates in endometrial cancer

BACKGROUND

Tumor mutational burden (TMB) is widely regarded as a predictor of response to immunotherapy. Few researchers have focused on the activity and prognosis of TMB in endometrial cancer (EC) and immune cells. Our study aimed to identify the prognostic role of TMB in EC.

METHODS

We downloaded transcriptome data from The Cancer Genome Atlas (TCGA) database. Kaplan-Meier analysis with log-rank test was conducted to assess the difference in overall survival (OS) between the high and low TMB groups. The "CIBERSORT" scripts were performed to evaluate the immune compositions of EC patients. Cox regression analysis and survival analysis were used to verify the prognostic value prognosis of TMB.

RESULTS

We obtained the single nucleotide mutation data for 529 EC patients. A missense mutation was the most common mutation type. TMB was associated with survival outcome, tumor grades, and pathological types. We identified 10 hub TMB-related signature and found that elevated T-cell subsets infiltrating density in the high TMB group revealed improved survival outcomes. According to Kaplan-Meier analysis, T cells gamma delta and T cells regulatory were prognostic immune cells in EC samples. Moreover, many top gene set enrichment analysis (GSEA) results, including amino sugar and nucleotide sugar metabolism, nucleotide excision repair, or p53 signaling pathway, were enriched significantly with TMB level as phenotype.

CONCLUSIONS

TMB is an important prognostic factor for EC, and TMB-related genes may be potential therapeutic targets for EC.

PD-L1 Expression Is an Independent Marker for Lymph Node Metastasis in Middle Eastern Endometrial Cancer

Programmed death ligand 1 (PD-L1) expression in endometrial cancer (EC) tumor cells have been reported in several studies with inconsistent results. Furthermore, there is scarcity of data on the prevalence and prognostic significance of PD-L1 expression in EC from Middle Eastern ethnicity. We aimed to assess PD-L1 expression in a large cohort of Middle Eastern EC and to correlate this with clinico-pathological factors, as well as mismatch repair (MMR) protein status and patients’ outcome. PD-L1 expression was investigated using immunohistochemistry on tissue microarray in an unselected cohort of 440 EC. Kaplan–Meier and logistic regression analysis were used to compare the outcome and prognostic factors. PD-L1 expression in tumor tissue was detected in 18.9% (83/440) EC cases with no impact on survival. When stratified for MMR protein status, PD-L1 expression was similar for both MMR deficient and MMR proficient ECs. However, the expression of PD-L1 in tumor cells was significantly associated with type II (non-endometrioid) histology (p = 0.0005) and lymph node metastasis (p = 0.0172). Multivariate analysis showed PD-L1 expression to be an independent risk factor for lymph node metastasis (odds ratio: 2.94; 95% CI: 1.26–6.84; p = 0.0123). In conclusion, PD-L1 was strongly associated with non-endometrioid EC and was an independent prognostic marker of lymph node metastasis.

The immunologic tumor microenvironment in endometrioid endometrial cancer in the morphomolecular context: mutual correlations and prognostic impact depending on molecular alterations

OBJECTIVE

POLE-mutant, microsatellite-instable (MSI), p53-mutant and non-specific molecular profile (NSMP) are TCGA-defined molecular subgroups of endometrial cancer (EC). Hypothesizing that morphology and tumor immunology might differ depending on molecular background concerning composition and prognostic impact, we aimed to comprehensively interconnect morphologic, immunologic and molecular data.

METHODS

TCGA-defined molecular groups were determined by immunohistochemistry and sequencing in n = 142 endometrioid EC. WHO-defined histopathological grading was performed. The immunologic microenvironment (iTME) was characterised by the quantification of intraepithelial and stromal populations of tumor-infiltrating lymphocytes (TIL: overall T-cells; T-Killer cells; regulatory T-cells (Treg)). Immunologic parameters were correlated with WHO-grading, TCGA-subgroups and prognosis.

RESULTS

High density TIL were significantly more frequent in high-grade (G3) compared to low-grade (G1/2) EC in the whole cohort and in the subgroup of POLE-wildtype-/microsatellite-stable-EC. MSI was associated with high-level TIL-infiltration when taking into account the type of mismatch repair defect (MLH1/PMS2; MSH2/MSH6). Prognostic impact of biomarkers depended on molecular subgroups: In p53-mutant EC, Treg were independently prognostic, in NSMP, the unique independently prognostic biomarker was WHO-grading.

CONCLUSIONS

EC morphology and immunology differ depending on genetics. Our study delineated two molecularly distinct subgroups of immunogenic EC characterized by high-density TIL-infiltration: MSI EC and high-grade POLE-wildtype/microsatellite-stable-EC. Prognostic impact of TIL-populations relied on TCGA-subgroups indicating specific roles for TIL depending on molecular background. In NSMP, histopathological grading was the only prognostic biomarker demonstrating the relevance of WHO-grading in an era of molecular subtyping.

Clinicopathological significance of multiple molecular features in undifferentiated and dedifferentiated endometrial carcinomas

We investigated the clinicopathological significance of multiple molecular features in undifferentiated and dedifferentiated endometrial carcinomas (UDECs). Eighteen dedifferentiated endometrial carcinomas (DDECs) and three undifferentiated endometrial carcinomas (UECs) were collected. Polymerase-ε exonuclease domain mutations (POLE-EDM) were analysed by Sanger sequencing. SWI/SNF complex subunits, mismatch repair (MMR) proteins, p53, and PD-L1 were evaluated by immunohistochemistry. The SWI/SNF complex was inactivated in half of the UDECs; variably combined with deficient MMR (dMMR), POLE-EDM, or p53 aberrance. Deficiencies in BRG1 and ARID1A were mutually exclusive (p<0.05) in DDECs. ARID1A defects were mostly (8/9) associated with dMMR and typically occurred simultaneously in both endometrioid and dedifferentiated components, whereas BRG1 defects were less frequently (3/7) combined with dMMR and were only observed in dedifferentiated cells. Two-thirds of the UDECs displayed dMMR, mainly caused by the MLH1 promotor methylation. Mutant p53 immunostaining was detected in accordant or subclonal patterns. All three POLE-EDM UDEC patients had stage IA disease with either dMMR or p53 abnormality. Strong positive signals for PD-L1 were mainly detected in dMMR samples. BRG1 defects may likely trigger the progression of dedifferentiation in UDECs by superimposing the pre-existing driver events or by initiating UECs de novo, whereas ARID1A inactivation is subordinate and may likely be secondary to dMMR. The biological behaviours of BRG1-intact UDECs were evaluated according to The Cancer Genome Atlas molecular classification; their driver events require further analysis. Exact molecular subtypes can be helpful for clinical management and treatment decisions for patients with UDEC.

Association between the mutational smoking signature and the immune microenvironment in lung adenocarcinoma

OBJECTIVES

Mutational signatures associated with tobacco smoking (mutational smoking signatures: SS) are characterized mainly by C > A mutations. The aim of this study was to characterize the association between the tumor immune microenvironment and the SS in lung adenocarcinoma.

METHODS

Lung adenocarcinomas surgically resected from 96 patients, for which whole exome sequencing data was available, were included in the study. We extracted the SS from whole exome sequencing data, calculated the weights of SS using deconstructSigs, and compared the clinicopathological features of SS positive (SS+) and negative (SS-) adenocarcinomas. We selected 18 tumor pairs from SS + and SS- adenocarcinomas (sex, EGFR mutation, and tumor size-matched) and examined the expression of five immune markers (CD20, CD8, FOXP3, CD204, and PD-L1) by immunohistochemistry.

RESULTS

Of 96 specimens, there were 33 (34 %) SS + adenocarcinoma tumors. The smoking index significantly correlated with the weight of the SS (R = 0.43). Between SS + and SS- tumors, there was no significant difference in clinicopathological factors excluding smoking history. Immunohistochemistry revealed that the number of FOXP3 + T cells in SS + adenocarcinomas was significantly higher than that in the SS- adenocarcinomas (median number 58 vs. 36, p < 0.01). Also, the number of CD20 + B cells in SS + adenocarcinomas was significantly higher than that in the SS- adenocarcinomas (median number 77 vs. 29, p < 0.01); however; these phenomena could not be confirmed when stratified by smoking history.

CONCLUSION

In lung adenocarcinoma, SS is associated with an immunosuppressive tumor microenvironment.

Correlation of PD-L1 expression with immunohistochemically determined molecular profile in endometrial carcinomas

Endometrial carcinoma programmed death-ligand 1 (PD-L1) expression in tumor cells (TCs) and tumor-associated inflammatory cells (ICs) have recently been reported in several studies which vary in terms of their cohort size, design, and methodology. We aimed to assess PD-L1 staining in endometrial carcinomas and correlate this with clinical and pathological factors and PTEN, ARID1A, p53, and MMR protein expression. PD-L1 immunohistochemistry was performed on whole tissue sections of all tumor blocks of 59 consecutive unselected endometrial carcinomas between November 2018 and September 2019. TC and IC PD-L1 positivity with a 1% cut-off value was observed in 10.2% and 67.8% of cases, respectively, and with a 5% cut-off value in 3.4% and 42.4% of cases, respectively. TC PD-L1 positivity with both 1% and 5% cut-off values was significantly related to ARID1A loss (p = 0.001 and p = 0.046, respectively). IC PD-L1 positivity with 1% and 5% cut-off values and combined score were significantly associated with MMR protein deficiency (p = 0.041, p = 0.031, and p = 0.028, respectively). Advanced stage tumors exhibited more frequent PD-L1 expression in ICs (p = 0.039). MELF-type myometrial invasion pattern was more common in tumors with ARID1A loss (p = 0.047). We observed higher rates of IC PD-L1 positivity in endometrial carcinomas than documented in prior studies; this may be related to our usage of "recent" paraffin blocks and whole tissue sections of all tumor blocks. There was a much higher PD-L1 expression in the ICs compared to TCs in our cases. We confirm a previously documented association between MMR deficiency and PD-L1 expression and show a novel association between ARID1A loss and PD-L1 expression in endometrial carcinomas. ARID1A loss represents a potential biomarker of immune checkpoint inhibitor response in endometrial carcinoma.

Combination of preoperative neutrophil-lymphocyte ratio, platelet-lymphocyte ratio and monocyte-lymphocyte ratio: a superior prognostic factor of endometrial cancer

BACKGROUND

The preoperative peripheral blood neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR) have been reported to be associated with the prognosis of various cancers but are always discussed separately. The aim of this study is to bring the combination of NLR, PLR and MLR into the prognostic assessment system of endometrial cancer (EC) and establish a nomogram to provide an objective prediction model for clinical decisions.

METHODS

A total of 1111 patients with EC who had accepted surgical treatment during 2013-2017 were involved in the analysis. Their NLR, PLR, and MLR levels were obtained from a routine blood examination within 2 weeks before operation. Receiver operating characteristic curve (ROC) analysis was performed to determine optimal cutoffs. Chi-square tests analysed the associations of the ratios with other clinicopathological variables. The prognostic value was indicated by overall survival (OS) via Cox proportional hazards models and Kaplan-Meier analysis. R software was used to establish the nomogram based on the combination of NLR, PLR, MLR and other clinicopathological factors.

RESULTS

The median follow-up period was 40 months, and the median age was 56. The enrolled patients were stratified by cutoffs of 2.14 for NLR, 131.82 for PLR and 0.22 for MLR. Multivariate analyses demonstrated that high NLR over 2.14 (HR = 2.71, 95%CI = 1.83-4.02, P<0.001), high PLR over 131.82 (HR = 2.75, 95%CI = 1.90-3.97, P<0.001), and high MLR over 0.22 (HR = 1.72, 95%CI = 1.20-2.45, P = 0.003) were significantly associated with worse OS. The combined indicator, high NLR + high PLR + high MLR (HR = 4.34, 95%CI = 2.54-7.42, P<0.001), showed the highest prognostic value. The Harrell's concordance index of the nomogram was 0.847 (95% CI = 0.804-0.890), showing good discrimination and calibration of this model.

CONCLUSION

The combination of NLR, PLR, and MLR is a superior prognostic factor of EC. The nomogram involving the combination of NLR, PLR, MLR and other clinicopathological factors is recommended to predict OS for EC patients clinically.

Integrative analysis of genomic and epigenetic regulation of endometrial cancer

Endometrial carcinomas (EC) are characterized by high DNA copy numbers and DNA methylation aberrations. In this study, we sought to comprehensively explore the effect of these two factors on development and progression of EC by analyzing integrated genomic and epigenetic analysis to. We found high DNA copy number and DNA methylation abnormalities in EC, with 6308 copy-number variation genes (CNV-G) and 4376 methylation genes (MET-G). We used these CNV-G and MET-G to subcategorize the samples for prognostic analysis, and identified three molecular subtypes (iC1, iC2, iC3). Moreover, the subtypes exhibited different tumor immune microenvironment characteristics. A further analysis of their molecular characteristics revealed three potential prognostic markers (KIAA1324, nonexpresser of pathogenesis-related genes1 (NPR1) and idiopathic hypogonadotropic hypogonadism (IHH)). Notably, all three markers showed distinct CNV, DNA methylation, and gene expression profiles. Analysis of mutations among the three subtypes revealed that iC2 had fewer mutations than the other subtypes. Conversely, iC2 showed significantly higher CNV levels than other subtypes. This comprehensive analysis of genomic and epigenetic profiles identified three prognostic markers, therefore, provides new insights into the multi-layered pathology of EC. These can be utilized for accurate treatment of EC patients.

Sensitizing the Tumor Microenvironment to Immune Checkpoint Therapy

Immune checkpoint blockade (ICB) has revolutionized cancer treatment, providing remarkable clinical responses in some patients. However, the majority of patients do not respond. It is therefore crucial both to identify predictive biomarkers of response and to increase the response rates to immune checkpoint therapy. In this review we explore the current literature about the predictive characteristics of the tumor microenvironment and discuss therapeutic approaches that aim to change this toward a milieu that is conducive to response. We propose a personalized biomarker-based adaptive approach to immunotherapy, whereby a sensitizing therapy is tailored to the patient's specific tumor microenvironment, followed by on-treatment verification of a change in the targeted biomarker, followed by immune checkpoint therapy. By incorporating detailed knowledge of the immunological tumor microenvironment, we may be able to sensitize currently non-responsive tumors to respond to immune checkpoint therapy.

Immunotherapy: Checkpoint Inhibitors in Lynch-Associated Gynecologic Cancers

OPINION STATEMENT

Research into novel therapies for gynecologic cancers is underfunded, and as a result, we are still playing catchup with other solid tumors in the realm of immune checkpoint inhibition. This is despite the fact that two of the most common gynecologic cancers in the USA have strong biologic rationales for response to these agents. Work is now underway to demonstrate safe and effective therapies for our patients. As we better understand the immune system, and more specifically the tumor microenvironment, we will be able to achieve complete responses. The immune system can learn, adapt, and provide ongoing surveillance; if only we could mimic its abilities.

Relationship of B7-H3 expression in tumor cells and tumor vasculature with FOXP3+ regulatory T cells in renal cell carcinoma

Background

B7-H3 (CD276), an immune checkpoint molecule, regulates the tumor-immune microenvironment and controls the aggressiveness of various tumors. Although B7-H3 expression has been associated with the number of tumor-infiltrating FOXP3+ regulatory T cells, little information is available about this association in clear cell renal cell carcinoma (ccRCC).

Methods

Using 252 consecutive cases of ccRCC, we examined the association of B7-H3 expression in both the tumor cells and tumor vasculature with the number of tumor-infiltrating FOXP3+ cells and assessed whether the effects of B7-H3 expression on survival differ according to FOXP3+ cell number.

Results

High B7-H3 expression was observed in the tumor cells and tumor vasculature in 15% and 54% of ccRCC cases, respectively. High FOXP3+ cell number was positively associated with B7-H3 expression in both the tumor cells (odds ratio [OR] =2.93; P=0.0041) and tumor vasculature (OR=2.45; P=0.0007). Tumor cell B7-H3 expression was associated with increased disease-specific mortality in high FOXP3+ cell number group (hazard ratio [HR] =2.98; P=0.017), but not in low FOXP3+ group (P=0.71). Tumor vasculature B7-H3 expression was also associated with increased disease-specific mortality in high FOXP3+ cell number group (HR=4.86; P=0.0025), but not in low FOXP3+ group (P=0.48).

Conclusion

We demonstrate that B7-H3 expression in both tumor cells and the tumor vasculature is positively associated with FOXP3+ cell number. Such expression is also associated with increased mortality in high FOXP3+ cell number group, but not in low FOXP3+ cell number group. These findings suggest that B7-H3-expressing ccRCCs may exert tumor-promoting immunity by interacting with FOXP3+ regulatory T cells in the tumor microenvironment.

The impact of programmed cell death-ligand 1 (PD-L1) and CD8 expression in grade 3 endometrial carcinomas

BACKGROUND

To evaluate the expression of programmed cell death-ligand 1 (PD-L1) and CD8 in high-grade endometrial carcinomas and relate it to several clinicopathological parameters.

METHODS

One hundred and one (101) patients with high-grade endometrial carcinomas who were completely surgically staged were included in this study. PD-L1 and CD8 + expression was evaluated by immunohistochemistry.

RESULTS

In our cohort, 47 women (46.5%) had endometrioid carcinomas and 54 patients (53.5%) were diagnosed with non-endometrioid cancers. In endometrioid carcinomas, there was a significantly higher rate of positivity for PD-L1 expression (p = 0.042) and of intraepithelial CD8 + cell counts (p = 0.004) as opposed to non-endometrioid cancers. There were no significant relationships with any of the other clinicopathological features under study. Univariate and multivariate analysis revealed that only high intraepithelial CD8 + counts (p = 0.01) was associated with longer progression-free survival. Tumors positive for PD-L1 and high intraepithelial CD8 expression were mainly of endometrioid histology, whilst PD-L1-positive/CD8 low and PD-L1-negative/CD8 low tumors were mostly non-endometrioid carcinomas (p = 0.01). PD-L1 negative/CD8 high tumors had the longest progression-free survival (p = 0.032).

CONCLUSIONS

In grade 3 endometrial carcinomas, both of endometrioid and non-endometrioid type, high intraepithelial CD8 + counts represent an independent favorable prognostic factor and when related to PD-L1-negative tumors, a longer progression-free survival can be predicted. Immunotherapy could probably be considered for PD-L1-positive/CD8 + high tumors, which were mostly of endometrioid histology.