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Parathyroid carcinoma is one of the least common endocrine malignancies and accounts for approximately 1% of all patients with primary hyperparathyroidism. A systematic review of peer-reviewed literature published between January 2000 and March 2022 via Medline, Embase, Cochrane Central Register of Controlled Trials, EudraCT, ClinicalTrials.gov, CINAHL and SCOPUS was conducted. Manuscripts were eligible if they included data on adult non-pregnant populations with parathyroid carcinoma. No restrictions regarding interventions, comparators or duration of follow-up were imposed. Single case reports, reviews or meta-analyses were excluded. Outcomes of interest were molecular pathogenesis, clinical presentation, differential diagnosis, treatment, follow-up and overall survival. Study quality was evaluated using the Newcastle–Ottawa Scale for observational studies.

This review included 75 studies from 17 countries, reporting on more than 3000 patients with parathyroid carcinoma. CDC73 mutation has been recognised as playing a pivotal role in molecular pathogenesis. Parathyroid carcinoma typically presents with markedly increased calcium and parathyroid hormone levels. The most frequently described symptoms were bone and muscle pain or weakness. En bloc resection remains the gold standard for the surgical approach. The 5-year overall survival ranged from 60 to 93%, with resistant hypercalcaemia a significant cause of mortality. Emerging evidence indicating that targeted therapy, based on molecular biomarkers, presents a novel treatment option. The rarity of PC and need for personalised treatment warrant multidisciplinary management in a ‘centre of excellence’ with a track record in PC management.

Treatment for advanced adrenocortical carcinoma (ACC) consists of mitotane alone or combined with etoposide, doxorubicin, and cisplatin (EDP). Although both therapies are widely used, markers of response are still lacking. Since inflammation-based scores have been proposed as prognostic factors in ACC, we aimed to investigate their role in predicting the response to first-line chemotherapy.

We performed a retrospective analysis of patients with advanced ACC treated with mitotane monotherapy or EDP ± mitotane. Clinical parameters (tumour stage at diagnosis, resection status, Ki67, time from diagnosis to treatment start, performance status, plasma mitotane levels, time in mitotane target ≥ 80%, clinically overt cortisol hypersecretion), and pretreatment inflammation-based scores (neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio, derived neutrophil-to-lymphocyte ratio) were investigated. The primary endpoints were overall survival (OS) and time-to-progression (TTP) from treatment initiation, the secondary endpoint was the best objective response to treatment.

We included 90 patients (59% = women, median age = 51 years) treated with mitotane monotherapy (n = 40) or EDP ± mitotane (n = 50). In the mitotane monotherapy cohort, NLR ≥ 5 and PLR ≥ 190 predicted shorter OS (hazard ratio (HR): 145.83, 95% CI: 1.87–11,323.83; HR: 165.50, 95% CI: 1.76–15,538.04, respectively), remaining significant at multivariable analysis including clinical variables. NLR was also associated with shorter TTP (HR: 2.58, 95% CI: 1.28–5.20), but only at univariable analysis. Patients with NLR ≥ 5 showed a worse treatment response than those with NLR < 5 (P = 0.040). In the EDP ± mitotane cohort, NLR ≥ 5 predicted shorter OS (HR: 2.52, 95% CI: 1.30–4.88) and TTP (HR: 1.95, 95% CI: 1.04–3.66) at univariable analysis.

In conclusion, inflammation-based scores, calculated from routinely measured parameters, may help predict response to chemotherapy in advanced ACC.

Precision medicine (PM) aims to maximize the risk–benefit balance of medical decisions by integrating individual patient and disease characteristics. This approach is gaining increasing recognition from clinicians, healthcare systems, pharmaceutical companies, patients, and governments. Nuclear medicine plays a critical role in PM by its virtue of providing critical information at every step of disease management, digital markers, and companion diagnostics/therapeutics. It is anticipated that technological breakthroughs and new tracers will continue to position nuclear medicine among the significant players in PM.

Histopathological differentiation in pediatric adrenocortical carcinoma (pACC) is difficult and clinical prediction and stratification scores are not evaluated yet. Therefore, this review aims to summarize current evidence on the value and accuracy of the two commonly used scoring systems (Weiss/Armed Forces Institute of Pathology (AFIP)) pACC. On this base, one might be able to evaluate if patients may benefit from a unique scoring system. For this, we performed a systematic review of the published literature and included 128 patients in our analysis. The majority (72%) of the pACCs had a good clinical course. The follow-up time ranged from 0 to 420 months with a mean age of 5.6 years at diagnosis. Patients with a good clinical course were younger (mean 4.8 years) than patients with a poor outcome (mean 7.6 years). Comparing the two scoring systems, the specificity of the Weiss score was very low (25%), whereas the sensitivity was 100%. According to the AFIP score, specificity (77%) was higher than the Weiss score, whereas the sensitivity of the AFIP score was minimal lower with 92%. Age differences were recognizable as the specificity was lower in infants <4 years (20%) than in older children (32%). In contrast, the specificity of the AFIP score was higher in infants <4 years (82%) than in older age groups (76%). Summarizing our results, we could show that the Weiss score is not a suitable tool for the prediction of malignancy in pACC in comparison with the AFIP score, but further efforts may seek to ensure early and accurate stratification through augmented scoring.

The association between growth hormone (GH) and carcinogenesis has long been postulated. The rationale for this association is that several components of the GH axis play an important role in the regulation of cell proliferation, differentiation, apoptosis, and angiogenesis and have been tested as targets for cancer therapy. Epidemiological and clinical studies have examined the association between height, growth patterns, and insulin-like growth factor 1 (IGF1) levels with the most common types of malignancies, while genome-wide association studies have revealed several height-associated genes linked to cancer and/or metastasis-driving pathways. In this context, a permissive role of the GH–IGF signaling system in the link between height and cancer risk has also been investigated. In animal and human models, genetic defects associated with GH deficiency or resistance are associated with protection from tumor development, while the risk of malignancies in acromegaly or in patients exposed to recombinant GH therapy has long been a matter of concern and scrutiny. In this review, we present a narrative and historical review covering the potential relations among height, growth patterns, GH axis, and cancer.

Paragangliomas (PGL) of the adrenal (also known as pheochromocytomas) or extra-adrenal neural crest-derived cells are highly heritable tumors, usually driven by single pathogenic variants that occur mutually exclusively in genes involved in multiple cellular processes, including the response to hypoxia, MAPK/ERK signaling, and WNT signaling. The discovery of driver mutations has led to active clinical surveillance with outcome implications in familial PGL. The spectrum of mutations continues to grow and reveal unique mechanisms of tumorigenesis that inform tumor biology and provide the rationale for targeted therapy. Here we review recent progress in the genetics and molecular pathogenesis of PGLs and discuss new prospects for advancing research with new disease models and ongoing clinical trials presented at the recent International Symposium of Pheochromocytomas and Paragangliomas (ISP2022) held in October 2022 in Prague.

Immunotherapy has shown promising efficacy for breast cancer (BC) patients. Yet the predictive biomarkers for immunotherapy response remains lacking. Based on two GEO datasets, 53 differentially expressed genes (DEGs) associated with durvalumab treatment response, were identified. Using lasso and univariate Cox regression, 4 genes (COL12A1, TNN, SCUBE2 and FDCSP) revealed prognostic value in TCGA BC cohort. COL12A1 outperformed the others, without an overlap in its survival curve. Survival analysis by Kaplan-Meier plotter demonstrated that COL12A1 was negatively associated with BC patients’ prognosis. A COL12A1-based nomogram was further developed to predict the overall survival (OS) in BC patients. The calibration plot revealed an optimal agreement between nomogram-prediction and actual observation. Moreover, COL12A1 expression was significantly up-regulated in BC tissues and COL12A1 knockdown impaired the proliferation of MDA-MB-231 and BT549 cells. GO, KEGG and GSEA pathway analyses indicated that the function of COL12A1 was related to immunity-related pathways. Immunological analyses illustrated that COL12A1 was correlated with M2 macrophage infiltration and M2 macrophage markers (TGF-β1, IL-10, CSF1R and CD163) in BC. Immunohistochemistry staining further revealed a highly positive relationship of COL12A1 with TGF-β1. The co-incubated models of BC cells and M2 macrophges showed COL12A1 knockdown suppressed M2 macrophage infiltration. Additionally, silencing COL12A1 suppressed TGF-β1 protein expression, and treating with TGF-β1 could reverse the inhibitory effects on M2 macrophage infiltration by COL12A1 knockdown. Using immunotherapy datasets, we also found elevated expression of COL12A1 predicted poor response to anti-PD-1/PD-L1 therapy. These results reinforce current understanding of COL12A1’ roles in tumorigenesis and immunotherapy response in BC.