Socioeconomic differences between medically and surgically treated prolactinomas: a retrospective review of 598 patients.

OBJECTIVE: Socioeconomic status (SES) is known to affect presentations and outcomes in pituitary neuroendocrine tumor resections, but there is a paucity of literature examining its impact specifically on patients with prolactinomas, who may be treated medically or surgically. The authors sought to determine whether SES was associated with differences in treatment choice or outcomes for prolactinoma patients. METHODS: The authors retrospectively reviewed patient records at a high-volume academic pituitary center for prolactinoma diagnoses. Patients were split into medically and surgically treated cohorts. Race, ethnicity, insurance status, primary care physician (PCP) status, and zip code-based income data were collected and examined as socioeconomic covariates. Outcomes of interest included pretreatment likelihood of surgical cure, medical versus surgical treatment allocation, and posttreatment remission rates. RESULTS: The authors analyzed 568 prolactinoma patients (351 medically treated and 217 surgically treated). Patients receiving surgery were more likely to have Medicaid or private insurance (p < 0.001) and have lower incomes (p < 0.001) than medically treated patients. Lower-income surgical patients were more likely to require surgical intervention for an indication such as tumor decompression than higher-income patients (p = 0.023). Surgical patients with a PCP had a higher estimated likelihood of surgical cure (p = 0.008), while no SES-based differences in surgical remission likelihood existed in the medical cohort. After surgery, surgical patients who achieved remission had significantly higher income than those who did not (p < 0.001). Other SES factors were not associated with surgical remission, and among medically treated patients, remission rates were not affected by any SES factor. Income was inversely related to prolactinoma size in both cohorts (surgical, p < 0.001; medical, p = 0.005) but was associated more prominently in surgical patients (surgical, -0.65 mm per $10,000; medical, -0.37 mm per $10,000). CONCLUSIONS: While surgical prolactinoma patients were prone to income and PCP-related disparities, no SES disparities were found among medically treated patients. Income had a more pronounced association with tumor size in the surgical cohort and likely contributed to the increased need for surgical intervention seen in low-income surgical patients. Addressing socioeconomic healthcare disparities is needed among surgical prolactinoma patients to increase rates of early presentation and improve the outcomes of low-SES populations.

Metabolic Barriers to Glioblastoma Immunotherapy.

Glioblastoma (GBM) is the most common primary brain tumor with a poor prognosis with the current standard of care treatment. To address the need for novel therapeutic options in GBM, immunotherapies which target cancer cells through stimulating an anti-tumoral immune response have been investigated in GBM. However, immunotherapies in GBM have not met with anywhere near the level of success they have encountered in other cancers. The immunosuppressive tumor microenvironment in GBM is thought to contribute significantly to resistance to immunotherapy. Metabolic alterations employed by cancer cells to promote their own growth and proliferation have been shown to impact the distribution and function of immune cells in the tumor microenvironment. More recently, the diminished function of anti-tumoral effector immune cells and promotion of immunosuppressive populations resulting from metabolic alterations have been investigated as contributory to therapeutic resistance. The GBM tumor cell metabolism of four nutrients (glucose, glutamine, tryptophan, and lipids) has recently been described as contributory to an immunosuppressive tumor microenvironment and immunotherapy resistance. Understanding metabolic mechanisms of resistance to immunotherapy in GBM can provide insight into future directions targeting the anti-tumor immune response in combination with tumor metabolism.

Pituitary adenomas and cerebrovascular disease: A review on pathophysiology, prevalence, and treatment.

Pituitary adenomas (PAs) have been shown to cause excess cardiovascular disease comorbidity and mortality. Cerebrovascular disease (CeVD) is a small subset of cardiovascular disease with high morbidity, and its risk in patients with pituitary adenomas has been sparingly explored. In this review, we examine what is known about the prevalence of cerebrovascular disease in patients with PAs, from its initial discovery in 1970 to present. An abundance of literature describes increased cerebrovascular mortality in patients with acromegaly, while research on other PA subtypes is less frequent but shows a similarly elevated CeVD mortality relative to healthy populations. We also review how cerebrovascular risk changes after PAs are treated, with PA treatment appearing to prevent further accumulation of cerebrovascular risk without reversing prior elevations. While acromegaly-associated CeVD appears to be caused by elevated growth hormone (GH) levels and Cushing disease's elevated glucocorticoids similarly cause durable alterations in cerebrovascular structure and function, less is known about the mechanisms behind CeVD in other PA subpopulations. Proposed pathophysiologies include growth hormone deficiency inducing vessel wall damage or other hormone deficits causing increased atherosclerotic disease. Early diagnosis and treatment of PAs may be the key to minimizing lifetime CeVD risk elevations. More research is needed to better understand the mechanisms behind the increased CeVD seen in patients with PAs. Physicians caring for PA patients must remain vigilant for signs and symptoms of cerebrovascular disease in this patient population.

Transcriptomic Profiles of Normal Pituitary Cells and Pituitary Neuroendocrine Tumor Cells.

The pituitary gland is one of the most cellularly diverse regions of the brain. Recent advancements in transcriptomic biology, such as single-cell RNA sequencing, bring an unprecedented glimpse into the molecular composition of the pituitary, both in its normal physiological state and in disease. Deciphering the normal pituitary transcriptomic signatures provides a better insight into the ontological origin and development of five types of endocrine cells, a process involving complex cascades of transcription factors that are still being established. In parallel with these observations about normal pituitary development, recent transcriptomic findings on pituitary neuroendocrine tumors (PitNETs) demonstrate both preservations and changes in transcription factor expression patterns compared to those seen during gland development. Furthermore, recent studies also identify differentially expressed genes that drive various tumor behaviors, including hormone hypersecretion and tumor aggression. Understanding the comprehensive multiomic profiles of PitNETs is essential in developing molecular profile-based therapies for PitNETs not curable with current treatment modalities and could eventually help align PitNETs with the breakthroughs being made in applying precision medicine to other tumors.