From clinic to mechanism: Proteomics-based assessment of angiogenesis in adrenal pheochromocytoma

The Immune Landscape of Pheochromocytoma and Paraganglioma: Current Advances and Perspectives

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors derived from neural crest cells from adrenal medullary chromaffin tissues and extra-adrenal paraganglia, respectively. Although the current treatment for PPGLs is surgery, optimal treatment options for advanced and metastatic cases have been limited. Hence, understanding the role of the immune system in PPGL tumorigenesis can provide essential knowledge for the development of better therapeutic and tumor management strategies, especially for those with advanced and metastatic PPGLs. The first part of this review outlines the fundamental principles of the immune system and tumor microenvironment, and their role in cancer immunoediting, particularly emphasizing PPGLs. We focus on how the unique pathophysiology of PPGLs, such as their high molecular, biochemical, and imaging heterogeneity and production of several oncometabolites, creates a tumor-specific microenvironment and immunologically "cold" tumors. Thereafter, we discuss recently published studies related to the reclustering of PPGLs based on their immune signature. The second part of this review discusses future perspectives in PPGL management, including immunodiagnostic and promising immunotherapeutic approaches for converting "cold" tumors into immunologically active or "hot" tumors known for their better immunotherapy response and patient outcomes. Special emphasis is placed on potent immune-related imaging strategies and immune signatures that could be used for the reclassification, prognostication, and management of these tumors to improve patient care and prognosis. Furthermore, we introduce currently available immunotherapies and their possible combinations with other available therapies as an emerging treatment for PPGLs that targets hostile tumor environments.

The effect of mass functionality on laparoscopic adrenalectomy outcomes

PURPOSE

This study aimed to determine the effect of adrenal mass functionality and different hormone subtypes synthesized by the adrenal masses on laparoscopic adrenalectomy (LA) outcomes.

MATERIALS AND METHODS

The study included 298 patients, 154 of whom were diagnosed with nonfunctional masses. In the functional group, 33, 62, and 59 patients had Conn syndrome, Cushing's syndrome, and pheochromocytoma, respectively. The variables were analyzed between the functional and nonfunctional groups and then compared among functional masses through subgroup analysis.

RESULTS

The incidence of diabetes mellitus, hypertension, and obesity, blood loss, and length of hospital stay (LOH) were significantly higher in the functional group than in the nonfunctional group. In the subgroup analysis, patients with pheochromocytoma had significantly lower body mass index but significantly higher mass size, blood loss, and LOH than the other two groups. A positive correlation was found between mass size and blood loss in patients with pheochromocytoma (p ≤ 0.001, r = 0.761). However, no significant difference in complications was found among the groups.

CONCLUSIONS

In this study, patients with functional adrenal masses had higher comorbidity rates and American Society of Anesthesiologists scores. Moreover, blood loss and LOH were longer on patients with functional adrenal masses who underwent LA. Mass size, blood loss, and LOH in patients with pheochromocytoma were significantly longer than those in patients with other functional adrenal masses. Thus, mass functionality did not increase the complications.

HIF1A transcriptional regulation of COX4I2 impacts angiogenesis in pheochromocytoma

BACKGROUND

Pheochromocytoma (PCC) is a rare neuroendocrine tumor. Angiogenesis is primary contributing factor for tumorigenesis. Cytochrome c oxidase 4I2 (COX4I2) has been confirmed to take part in the progression of cancer. Hypoxia-inducible factor 1A (HIF1A) is the main regulatory factor for the steady-state response of hypoxia, involved in metabolism and angiogenesis. In this study, we intended to explore the functions of COX4I2 in PCC and the effect mechanism between HIF1A and COX4I2.

MATERIALS AND METHODS

The RNA-sequencing and immunohistochemistry tested COX4I2 expression in highly vascular PCC. Small interfering RNA (siRNA) was used to reduce the mRNA expression of COX4I2, and a small molecule inhibitor was utilized to reduce the protein expression of HIF1A. Culturing cells in 1% O2environment was performed to activate HIF1A. Western blot was applied to quantify the expression of target genes at the protein levels. The supernatant from PCC cells and fibroblasts acted as the conditioned medium. We conducted the tube formation and transwell assays in human vascular endothelial cells (HUVECs) to determine angiogenesis, the binding of COX4I2 promoter and HIF1A was evaluated by the dual luciferase reporter assay.

RESULTS

COX4I2 had been rigorously shown to be overexpressed in highly vascular PCC. Knockdown of COX4I2 in PCC cells (MPC) did not significantly impact angiogenesis, while knockdown of COX4I2 in fibroblast (3T3) notably inhibited angiogenesis. RNA sequencing suggested that the expression of 11 vascular markers, such as CD34 and angiogenesis associated pathways in 3T3, decreased with knockdown of COX4I2. HIF1A had been shown to enhance the mRNA expression of COX4I2 through transcriptional regulation. Activation and inhibition of HIF1A resulted in upregulation and downregulation of COX4I2, respectively. The HIF1A inhibitor demonstrated a reduction in angiogenesis.

CONCLUSION

COX4I2 is overexpressed in highly vascular PCC and contributes to angiogenesis in fibroblasts. Mechanistically, HIF1A transcriptional regulation enhances COX4I2 and its effects on angiogenesis in PCC. COX4I2 might serve as a vascular marker and represent a potential target for vascular therapy.

Elucidating Hedgehog pathway's role in HNSCC progression: insights from a 6-gene signature

With the emergence of targeted inhibition strategies for Hedgehog signaling in cancer, multiple Hedgehog signaling pathway-related biomarkers have become the focus of research. SsGSEA algorithm was employed to analyze the Hedgehog pathway scores of samples in TCGA-HNSC dataset and divide them into two groups. Weighted co-expression network analysis was performed to identify modules strongly associated with the Hedgehog pathway. Differentially up-regulated genes in tumor samples in comparison to the normal ones were screened by Limma, in which genes belonging to modules strongly related to Hedgehog pathway were further filtered by LASSO reduction and multivariate Cox regression analysis to develop a model. ESTIMATE and CIBERSORT were served to characterize the tumor microenvironment (TME). TIDE assessed immunotherapy response. Hedgehog pathway activity was significantly higher in head and neck squamous cell carcinoma (HNSCC) tissues than in normal tissues and was correlated with HNSCC survival, glycan, cofactors and vitamins, drug metabolism, and matrix scores. Six genes (SLC2A3, EFNB2, OAF, COX4I2, MT2A and TXNRD1) were captured to form a Hedgehog associated 6-gene signature, and the resulting risk score was an independent indicator of HNSCC prognosis. It was significantly positively correlated with stromal score, metabolism, angiogenesis and inflammatory response. Patients in low-risk group with a low TIDE score had higher immunotherapy sensitivity relative to those in high-risk group. This study revealed novel findings of the Hedgehog pathway in HNSCC progression and opened up a Hedgehog pathology-related signature to help identify risk factors contributing to HNSCC progression and help predict immunotherapy outcomes.

Fibroblasts mediate the angiogenesis of pheochromocytoma by increasing COX4I2 expression

Objective

Our previous work found COX4I2 was associated with angiogenesis in pheochromocytoma. The purpose of this study was to explore the role of COX4I2 in regulating angiogenesis in pheochromocytoma.

Methods

Distribution of COX4I2 was evaluated by scRNA-seq in one case of pheochromocytoma and the findings were verified by immunostaining. COX4I2 was further knocked down in target cells. Changes of angiogenesis-related genes were evaluated by qPCR in target cells.

Results

The scRNA-seq revealed high mRNA expression of COX4I2 in fibroblasts rather than tumor cells. Immunostaining of COX4I2 confirmed its distribution in fibroblasts. Knocking down COX4I2 in NIH3T3 cell line led to significant reduction of angiogenesis-related genes, especially ANG1 and HGF.

Conclusions

Fibroblasts mediate the angiogenesis of pheochromocytoma by increasing COX4I2 expression, possibly by affecting ANG1 and HGF.

Adrenal pheochromocytoma: is it all or the tip of the iceberg?

Adrenal pheochromocytoma is not always a simple retroperitoneal tumor but may be part of a more complicated condition. It often has a spectrum of complex and variable imaging features, may present as a collision tumor and composite tumor, and is associated with a variety of clinical syndromes. A comprehensive understanding of the clinical, pathological, and variable imaging manifestations of pheochromocytoma can help radiologists make an accurate diagnosis. This article reviews various special imaging features of pheochromocytoma and pheochromocytoma-related diseases.

COX4I2 is a novel biomarker of blood supply in adrenal tumors

Background

Previous study has been reported that COX4I2 expression level demonstrated a positive correlation with microvessel density in pheochromocytomas (PCC) samples, suggesting that the expression of COX4I2 maybe related to blood supply level in other adrenal tumors as well. The aim of this study is to clarify the correlation of COX4I2 expression and blood supply in adrenal tumors.

Methods

A total of 84 patients were recruited, among which 46 was diagnosed as adrenocortical adenoma (ACA) and 38 was diagnosed as PCC. Contrast-enhanced CT values were used to evaluate the blood supply levels in those patients. The expression of mRNA was examined by quantitative real-time polymerase chain reaction (qPCR) and protein was detected by immunohistochemistry (IHC).

Results

The COX4I2 expression level in PCC group is significantly higher than that in ACA group (P<0.01). The expression of angiogenesis-related genes EPAS1, VEGFA and KDR mRNA in PCC group is higher than that of ACA group (P<0.05). Correlation analysis shows COX4I2 expression level is correlated with CT values (P<0.001), intraoperative blood loss (P<0.05) and operation time (P<0.05), and the expression of COX4I2 mRNA is correlated with EPAS1, VEGFA and KDR mRNA (P<0.01).

Conclusions

The results displayed a distinct expression level of COX4I2 between ACA and PCC, suggesting that COX4I2 is a novel biomarker of blood supply in adrenal tumors. This research also opens the possibility for further research on COX4I2 as a novel target for anti-tumor angiogenesis.

A genomic-clinicopathologic Nomogram for the preoperative prediction of lymph node metastasis in gastric cancer

BACKGROUND

Preoperative evaluation of lymph node (LN) state is of pivotal significance for informing therapeutic decisions in gastric cancer (GC) patients. However, there are no non-invasive methods that can be used to preoperatively identify such status. We aimed at developing a genomic biosignature based model to predict the possibility of LN metastasis in GC patients.

METHODS

We used the RNA profile retrieving strategy and performed RNA expression profiling in a large GC cohort (GSE62254, n = 300) from Gene Expression Ominus (GEO). In the exploratory stage, 300 GC patients from GSE62254 were involved and the differentially expressed RNAs (DERs) for LN-status were determined using the R software. GC samples in GSE62254 were randomly allocated into a learning set (n = 210) and a verification set (n = 90). By using the Least absolute shrinkage and selection operator (LASSO) regression approach, a set of 23-RNA signatures were established and the signature based nomogram was subsequently built for distinguishing LN condition. The diagnostic efficiency, as well as the clinical performance of this model were assessed using the decision curve analysis (DCA). Metascape was used for bioinformatic analysis of the DERs.

RESULTS

Based on the genomic signature, we established a nomogram that robustly distinguished LN status in the learning (AUC = 0.916, 95% CI 0.833-0.999) and verification sets (AUC = 0.775, 95% CI 0.647-0.903). DCA demonstrated the clinical value of this nomogram. Functional enrichment analysis of the DERs was performed using bioinformatics methods which revealed that these DERs were involved in several lymphangiogenesis-correlated cascades.

CONCLUSIONS

In this study, we present a genomic signature based nomogram that integrates the 23-RNA biosignature based scores and Lauren classification. This model can be utilized to estimate the probability of LN metastasis with good performance in GC. The functional analysis of the DERs reveals the prospective biogenesis of LN metastasis in GC.

Integrative analysis identifies an immune-relevant epigenetic signature for prognostication of non-G-CIMP glioblastomas

The clinical and molecular implications of DNA methylation alterations remain unclear among the majority of glioblastomas (GBMs) without glioma-CpGs island methylator phenotype (G-CIMP); integrative multi-level molecular profiling may provide useful information. Independent cohorts of non-G-CIMP GBMs or IDH wild type (wt) lower-grade gliomas (LGGs) from local and public databases with DNA methylation and gene expression microarray data were included for discovery and validation of a multimarker signature, combined using a RISK score model. Bioinformatic and in vitro functional analyses were employed for biological validation. Using a strict multistep selection approach, we identified eight CpGs, each of which was significantly correlated with overall survival (OS) of non-G-CIMP GBMs, independent of age, the O-6-methylguanine-DNA methyltransferase (MGMT) methylation status, treatments and other identified CpGs. An epigenetic RISK signature of the 8 CpGs was developed and validated to robustly and independently prognosticate prognosis in different cohorts of not only non-G-GIMP GBMs, but also IDHwt LGGs. It also showed good discriminating value in stratified cohorts by current clinical and molecular factors. Bioinformatic analysis revealed consistent correlation of the epigenetic signature to distinct immune-relevant transcriptional profiles of GBM bulks. Functional experiments showed that S100A2 appeared to be epigenetically regulated by one identified CpG and was associated with GBM cell proliferation, apoptosis, invasion, migration and immunosuppression. The prognostic 8-CpGs RISK score signature may be of promising value for refining current glioma risk classification, and its potential links to distinct immune phenotypes make it a promising biomarker candidate for predicting response to anti-glioma immunotherapy.

Nano-liquid chromatography-mass spectrometry and recent applications in omics investigations

Liquid chromatography coupled to mass spectrometry (LC-MS) is one of the most powerful tools in identifying and quantitating molecular species. Decreasing column diameter from the millimeter to micrometer scale is now a well-developed method which allows for sample limited analysis. Specific fabrication of capillary columns is required for proper implementation and optimization when working in the nanoflow regime. Coupling the capillary column to the mass spectrometer for electrospray ionization (ESI) requires reduction of the subsequent emitter tip. Reduction of column diameter to capillary scale can produce improved chromatographic efficiency and the reduction of emitter tip size increased sensitivity of the electrospray process. This improved sensitivity and ionization efficiency is valuable in analysis of precious biological samples where analytes vary in size, ion affinity, and concentration. In this review we will discuss common approaches and challenges in implementing nLC-MS methods and how the advantages can be leveraged to investigate a wide range of biomolecules.

Surgical outcomes of a randomized controlled trial compared robotic versus laparoscopic adrenalectomy for pheochromocytoma

BACKGROUND

Robotic adrenalectomy for pheochromocytoma is increasingly popular because of the advantage that have been proved by some researchers recently. However, prospective randomized clinical trials comparing robotic assisted laparoscopic adrenalectomy (RA) with traditional laparoscopic adrenalectomy (LA) for pheochromocytoma are rare. The aim of this study is to compare perioperative outcomes of RA versus LA for pheochromocytoma prospectively.

METHODS

From March 2016 to April 2019, all patients with pheochromocytoma suitable for laparoscopic adrenalectomy were assigned randomly to RA or LA. The primary endpoint was the operative (exclude docking time) time. Secondary endpoints were estimated blood loss and postoperative recovery. Demographics and perioperative data were prospectively collected.

RESULTS

A total of 140 (RA 70, LA 70) patients were enrolled in this prospective research. The following significant differences were identified in favor of RA: shorter median operative (exclude docking time) time (92.5 vs 122.5 min, P = 0.007), however, RA group has higher total hospitalization cost (8869.9 vs 4721.8 $, P < 0.001). Demographics and other perioperative outcomes were similar in both groups. The RA group showed a significant lower blood loss and operative (exclude docking time) time compared with LA group (P < 0.05) for patients with high Nor-Metanephrine (NMN).

CONCLUSIONS

Both RA and LA for pheochromocytoma are safe and effective. Patients with high NMN can benefit from less blood loss and operative time when a robotic surgery system was used, but RA has a significant higher cost.

Propensity Score Matched Analysis Comparing Robotic-Assisted with Laparoscopic Posterior Retroperitoneal Adrenalectomy

Objectives: To compare the perioperative outcomes between robotic posterior retroperitoneal adrenalectomy (RPRA) with laparoscopic posterior retroperitoneal adrenalectomy (LPRA) for adrenal tumors and to identify which group of patients may benefit from RPRA.Methods: A total of 401 patients who fulfilled the inclusion criteria were collected and analyzed; among them, 86 and 315 patients underwent RPRA and LPRA, respectively. To adjust for potential baseline confounders, propensity score matching (PSM) was conducted at a 1:1 ratio. Patient demographics and perioperative outcomes were compared between the two groups.Results: After matching, no differences were found between the two groups in patient demographics or tumor characteristics. The median length of postoperative stay (3 vs. 4 days, p = 0.001) was significantly shorter in the RPRA group, but this group also showed a higher median total hospitalization cost (8121.89 vs. 4107.92 $, p < 0.001). There was no difference in the median operative duration (100 vs. 110 min, p = 0.554), median estimated blood loss (50 vs. 50 ml, p = 0.730), transfusion rate (p = 0.497) or incidence of postoperative complications (p = 0.428).Conclusions: According to our research, RPRA leads to a shorter postoperative hospitalization stay but a higher total hospitalization cost than LPRA after propensity score matching.