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. 2018 Sep 20;7:F1000 Faculty Rev-1500. [Version 1] doi: 10.12688/f1000research.14568.1

New insights on the pathogenesis of paraganglioma and pheochromocytoma

Vitaly Kantorovich 1,a, Karel Pacak 2
PMCID: PMC6173107  PMID: 30345003

Abstract

Pheochromocytomas (PCCs) and paragangliomas (PGLs) are rare chromaffin cell tumors (PPGLs) that at times raise significant challenges in clinical recognition, diagnosis, and therapy and when undiagnosed could associate with severe morbidity. Recent discoveries in PPGL genetics propelled our understanding in the pathophysiology of tumorigenesis and allowed the application of functional classification of pathogenetically distinct groups of PPGLs. This also resulted in a qualitative change in our approach to clinical assessment, diagnosis, and therapy of different subgroups of PPGLs. Establishment of the fact that mutations in multiple components of the PHD–VHL–HIF-2α pathway associate with pseudohypoxia-driven tumorigenesis allowed us not only to better understand the effect of this phenomenon but also to more deeply appreciate the value of functional abnormalities in the physiologic tissue oxygen-sensing mechanism. Mutations in the tricarboxylic acid cycle–related genes opened an additional window into understanding the physiology of one of the basic cellular metabolic pathways and consequences of its disruption. Mutations in the kinase signaling–related genes allow the PPGL field to join a massive innovative process in therapeutic advances in current oncology. New pathophysiologically distinct groups of mutations will widen and deepen our understanding of additional pathways in PPGL tumorigenesis and hopefully introduce additional diagnostic and therapeutic approaches. All of these developments are tremendously important in our understanding of both the normal physiology and pathophysiology of PPGLs and are strong tools and stimuli in the development of modern approaches to all components of medical management.

Keywords: Pheochromocytoma, paraganglioma, PPGL

Introduction

Pheochromocytomas (PCCs) and paragangliomas (PGLs) are chromaffin cell tumors derived from adrenal (PCC) or extra-adrenal sympathetic or parasympathetic paraganglia (PGL) 1, respectively. Though once thought of as being mostly benign and biochemically active, these tumors could show a wide spectrum of cellular and biochemical de-differentiation, including aggressive metastatic course and biochemical silence. Despite being anatomically distinct, PCCs and PGLs display a common pathologic basis and frequently are referred to as pheochromocytoma/paraganglioma tumors (PPGLs), the term we will use throughout this article. The incidence and prevalence of PPGLs are based on older literature, which in part paralleled our understanding of the field and could be misleading to some degree. Overall, it is stated that the annual incidence of PCC is between two and eight cases per million, whereas in patients with hypertension, the prevalence of PPGL varies between 0.2 and 0.6%. It is important to remember that in patients with incidentally radiologically discovered adrenal masses, 5% will have PCCs (reviewed in 1, 2).

Recent years have tremendously changed our understanding of each and every aspect of PPGL biology—genetics, clinical and biochemical behavior, pathogenesis, diagnosis, and treatment—which to a major degree also propelled our understanding of PPGL-related and general pathophysiology of tumorigenesis. The PPGL field has also undergone a significant transformation in recent years. In older times, pheochromocytoma was seen as a mostly sporadic and benign disease, usually seen by endocrinology and surgery. Hereditary cases were relatively rare and included MEN2, neurofibromatosis type 1, and von Hippel–Lindau syndromes. Sympathetic paragangliomas were usually managed by the anatomically related (chest, abdomen, and pelvis) surgical specialties with significantly more frequent involvement of medical oncology and endocrinology on an “as needed basis”. Parasympathetic silent head-and-neck paragangliomas were seldom seen as part of the PPGL syndrome and were managed by ear, nose, and throat (ENT) and oncology. With increasing understanding of the high heritability of PPGL and similarity in pathology of seemingly discrete conditions, the field has transformed into all-inclusive and comprehensive medicine approach-based multispecialty management. We now know that PPGLs represent the highest hereditary-driven endocrine condition—up to 40% of cases are related to mutations in 15 well-established driver genes and a growing number of disease-modifying genes and these numbers are expected to grow 35.

As our understanding of PPGLs deepens, it seems that current anatomic (World Health Organization, 2017) or standard staging (American Joint Commission Cancer staging, 2017) classifications fell short of providing sufficient insight into pathogenesis, clinical presentation, and (perhaps more importantly) prognostic value with respect to malignant potential, response to therapy, and possible recurrences. Functional, pathogenesis-based classification does allow a better understanding of actual tumorigenesis, expected biochemical profiles, tumor location, and malignant potential. The more recently formulated group of disease-modifying genes is expected to expand and possibly explain tumor formation in a growing number of apparently mutation-free cases ( Figure 1 and Table 1).

Figure 1. Differential characteristics of hereditary pheochromocytoma/paraganglioma tumors (PPGLs).

Figure 1.

A, degree of PPGL cell differentiation; B, risk of metastatic/malignant potential and norepinephric versus epinephric secretory profile.

Table 1. Characterization of driver genes.

Pseudohypoxia group genes
Inheritance H&N PGL SPGL PCC Other manifestation
SDHA AD Very low Very low Very low Gastrointestinal stromal tumor,
pituitary tumors, renal cell cancer,
and pulmonary chondroma
SDHB AD Intermediate Intermediate Low Same
SDHC AD Low Low Low Same
SDHD AD paternal High low Low Same
SDHAF2 AD High Very low Very low Same
FH AD Unknown Unknown Unknown Leiomyomatosis and renal cell
cancer
VHL AD Very low Low High Hemangioblastoma, renal
cell cancer, and pancreatic
neuroendocrine tumors
EPAS1 Unknown Very low High High Polycythemia, somatostatinoma,
and retinal abnormalities
Wnt signaling pathway genes
CSDE1—Detected only as somatic mutations
MAML3—Detected only as somatic mutations
Pseudohypoxia group genes
RET AD Very low Very low High Multiple endocrine neoplasia
syndromes
NF1 AD Very low Very low Low Neurofibromas, dysmorphic features,
skeletal abnormalities, and so on
MAX AD Unknown Unknown Unknown Renal oncocytoma
TMEM127 AD Very low Low Intermediate
HRAS—Detected only as somatic mutations

AD, autosomal dominant; H&N PGL, head-and-neck paraganglioma; PCC, pheochromocytoma; SPGL, sympathetic paraganglioma.

This functional classification of currently established susceptibility genes consists of four major groups: the pseudohypoxia group, the kinase signaling group, the Wnt signaling group, and the disease-modifying gene group.

Pseudohypoxia group

This group can be further subdivided to the following subgroups:

VHL/EGLN1/EPAS1-related

Historically, this group was the first window into our understanding of the pathophysiology of the development of PPGLs. It represents 15 to 20% of PPGLs, which are hereditary in 25% of cases, and includes tumors associated with mutations in von Hippel–Lindau tumor suppressor gene ( VHL), Elegans homologs ( EGLN1–3), and endothelial PAS domain protein 1 ( EPAS1) gene. VHL, expressing both germline and somatic mutation patterns, shows mutation in up to 100% of patients with VHL-related PPGL. The product of VHL is a von Hippel–Lindau tumor suppressor protein (pVHL), which serves as a component of an E3 ubiquitin ligase complex. The mechanism of tumorigenesis in this condition is related to the generation of the pseudoxypoxic metabolic state related to the stabilization of the hypoxia-inducible factor (HIF) (reviewed in 6). HIF is a heterodimer protein which consists of two subunits: HIFα and HIFβ. The first is regulated by oxygen concentration and consists of three isoforms. Under normal conditions, HIF-1α and HIF-2α are rapidly hydroxylated by propyl hydroxylase domain proteins (PDH1–3), which allows them to become recognized by the VHL and delivered to proteasome for degradation. Lack of rapid degradation of the HIFα occurs in states of true hypoxia and pseudohypoxia. Whereas the first will be self-limited and seldom provide enough time for efficient tumorigenesis, pseudohypoxia can definitely extend to the significant length of time; in the case of VHL mutation, it will associate with a lack of recognition and degradation of the HIFα and β heterodimer (in the case of PPGL, it is mostly HIF-2α), which will bind to the core DNA RCTCG sequence at the hypoxia-responsive elements (HREs) to activate transcription of multiple genes that could associate with tumor formation, including glucose transporter 1 (GLUT1), vascular endothelial growth factor (VEGF), and many others.

The importance of the PHD–VHL–HIF-2α pathway in the pathogenesis of PPGL was also shown through the association of mutations in every component of this pathway (reviewed in 7). Mutations in EGLN 1 and 2, which encode PDH 2 and 1, respectively, were also shown to associate with the development of PPGLs.

Germline, mosaic, or constitutional gain-of-function mutations in EPAS1 also associate with an increase in the transcriptional activity of HIF-2α target genes 8, 9, although the actual transcriptional signature seems to differ somewhat from the one associated with VHL and is associated with a distinct clinical constellation, including PPGL, polycythemia, and somatostatinomas, and is referred to as Zhuang–Pacak syndrome.

Tricarboxylic acid cycle–related

These are germline truncating mutations in succinate dehydrogenase ( SDH) subunits A, B, C, and D; SDHAF2 assembly factor for SDH; and fumarate hydroxylase ( FH). These tumors represent about 10 to 15% of all PPGLs, are close to 100% hereditary, and functionally represent a tumor suppressor gene mutation-related tumorigenesis. SDH is a dual-functional mitochondrial enzyme, which converts succinate to fumarate in tricarboxylic acid (TCA), and participates as a complex II in the respiratory electron transfer within the mitochondrial membrane. FH subsequently converts fumarate to malate within the same TCA cycle (reviewed in 2, 10, 11). There are recently described constitutional mutations of the malate dehydrogenase ( MH2)—the enzyme that converts malate to oxaloacetate further down the TCA—that associate with PGL in a single family 12. The exact mechanism of tumorigenesis is thought to be related to oncogenic properties of accumulated TCA metabolites—succinate, fumarate, and malate—by inhibiting enzymes involved in cell signaling and chromatin maintenance 13. Succinate and fumarate can inhibit PDH, thus activating the HIF-related tumorigenesis pathway. In addition, both can drive epigenomic tumorigenesis through dose-dependent DNA hypermethylation by inhibition of α-ketoglutarate–dependent oxidative demethylation 10.

Kinase signaling group

This group comprises the majority of PPGLs (50 to 60%) and is driven by either germline or somatic mutations in up to 20% of cases. It includes oncogenes—rearranged during transfection ( RET) proto-oncogene and H-ras GTPase proto-oncogene ( HRAS)—and several tumor suppressors: neurofibromin 1 ( NF1), transmembrane protein 127 ( TMEM127), and MYC-associated factor X ( MAX). These mutations are associated with the activation of kinase signaling pathways: RAS-RAF-MEK and PI3K-AKT-mTOR for RET, HRAS, NF1, and TMEM127 and MYC-MAX for MAX.

Activation of RET gene is essential for development of both sympathetic and parasympathetic components of the autonomous nervous system through growth and differentiation of the neural crest precursors. Tumorigenesis occurs through activation of the tyrosine kinase, which signals through the above pathways to promote cell growth and survival. The NF1 gene is predominantly expressed in neurons, Schwan cells, oligodendrocytes, and leukocytes. Its main function as a tumor suppressor is ras GTP-ase which de-activates RAS, thus preventing activation of the oncogenic RAS-RAF-MEK signaling cascade. TMEM127 is a negative regulator of mTOR, which is a PI3K kinase, shown to be activated in many human cancers and associated with increased cell proliferation, angiogenesis, and survival. MAX is a transcription factor associated with proto-oncogene MYC.

Rat sarcoma viral oncogene ( ras) genes are frequently found in human cancers and function as activators of cell growth and survival. Of multiple group members, only Harvey ( H-ras) and Kirsten ( K-ras) were shown to associate with PPGL formation.

A small proportion of PPGLs show additional kinase signaling pathway–associated mutations in FGFR1, KIF1B, and MET but these still need to be validated. KIF1B is a tumor suppressor gene necessary for the neuronal apoptosis.

Wnt signaling group

Tumors in this group occur in 5 to 10% of PPGLs and in most cases are related to somatic mutations in tumor suppressor cold shock domain-containing E1 ( CSDE1) and oncogene mastermind-like transcriptional coactivator 3 ( MAML3).

Disease-modifying gene group

Somatic mutations in five genes— ATRX, KMT2D, SETD2, TERT, and TP53—have a synergistic effect on PPGL tumorigenesis and raise the possibility of association with an excessively aggressive course of the disease.

Recent advances in our understanding of the pathogenesis of PPGL had significantly changed our approach to the condition. The change in classification moved different forms of PPGLs into pathogenesis-driven groups, which allowed a better understanding of major disease-related features: clinical presentation, biochemical approach, and predisposition to malignant course and possible differences in therapy and follow-up. It had also brought back some old concepts—like Warburg effect (tumorigenesis related to accelerated glycolysis)—that fit well into the model of pseudohypoxia-driven disease. Understanding differential pathogenetic pathways in different forms of PPGL allowed a better design of biochemical tests with a recent use of metabolomics through high-end nuclear magnetic resonance spectroscopy as a differential tool on a biochemical level 14, 15. Pathogenesis-based knowledge had also allowed us to design new therapeutic approaches; the best example would be the use of specific HIF-2α antagonists (PT2399) and prolyl hydroxylase activators (R59949 and KRH102053) that promote HIF hydroxylation, thus restoring VHL-driven recognition and rapid degradation. These could switch the pseudoxypoxic signal and potentially disrupt the tumorigenesis process at the actual pathogenetic point 15. The possibility of multiple additional clinical presentations and novel mutations will further boost our ability to more deeply understand and affect the pathogenesis of this fascinating condition. One example would be a recent report of PPGL associated with cardiac dysplasia 16. There are still plenty of questions waiting to be answered in relation to the particular mechanisms of tumorigenesis and possible interventions early in the course of the disease to prevent possible adverse outcomes. This will definitely improve with new knowledge and experience.

Editorial Note on the Review Process

F1000 Faculty Reviews are commissioned from members of the prestigious F1000 Faculty and are edited as a service to readers. In order to make these reviews as comprehensive and accessible as possible, the referees provide input before publication and only the final, revised version is published. The referees who approved the final version are listed with their names and affiliations but without their reports on earlier versions (any comments will already have been addressed in the published version).

The referees who approved this article are:

  • Barbara Jarząb, Department of Nuclear Medicine and Endocrine Oncology, Maria Sklodowska-Curie Institute, Oncology Center, Gliwice Branch, Gliwice, Poland

  • Whitney Goldner, University of Nebraska Medical Center, Omaha, NE, USA

Funding Statement

This study was supported by the Eunice Kennedy Shriver National Institute of Child Health and Human Development.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

[version 1; referees: 2 approved]

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