TERT Copy Number Alterations, Promoter Mutations and Rearrangements in Adrenocortical Carcinomas

Allele frequency in thyroid cancer: mechanisms, challenges, and applications in cancer therapy

Allele Frequency (AF) is the percentage of sequence reads with a specific mutation relative to the read depth at that locus, reflecting the proportion of gene mutation. This review explores the AF characteristics of different mutations in thyroid cancer, investigating their connection with tumor features and clinical characteristics. BRAF mutation AF is associated with tumour malignancy and prognosis, exhibiting a relatively low peak value. TERT mutations in AF are associated with invasive characteristics, and the combination between BRAF and TERT mutations AF improved the diagnostic value in identifying patients' risk of recurrence and tumour malignancy. RET mutation is frequently observed in medullary carcinoma, and RET mutation AF is associated with partial tumour characteristics. RAS mutation is prevalent in follicular tumors, but the association between RAS mutation AF and tumour characteristics is relatively weak. TP53 mutation is more frequently occurred in poorly differentiated and anaplastic carcinoma, and its AF might be associated with the dedifferentiation process. We also concentrated on the mutually exclusive and synergistic effect between different mutations. The mutation rate of TERT increases with the elevation of BRAF mutation AF. Finally, the detection and assessment of AF by NGS in clinical practice helps to provide a reference for individualised targeted therapy plans.

Identifying genomic signatures of recurrence in adrenocortical carcinoma after R0 resection

BACKGROUND

Adrenocortical carcinoma (ACC) is a rare and aggressive malignancy with limited treatment options. Although there have been recent advancements revealing genomic drivers of these tumors, it remains unclear which genomic signatures are associated with recurrence, particularly following R0 resection.

METHODS

Adrenocortical carcinoma patients treated with adrenalectomy in the Cancer Genome Atlas with recurrence data were identified using cBioPortal. Clinicopathologic variables, genomics, treatment patterns, and outcomes were retrospectively analyzed.

RESULTS

Among 92 adrenocortical carcinoma patients, 84 had recurrence data, with 52% experiencing tumor recurrence. Age and sex were not significantly different between recurrent and nonrecurrent groups. Nonrecurrent patients had a significantly longer overall survival (54 months vs 35 months, P = .0036). Adjuvant radiation was administered similarly in both groups (25.0% vs 16.2%, P = .4164). There were no differences in capsular or venous invasion or median tumor size. Sixty-two patients had R0 resection and 40.3% (n = 25/62) recurred. Multivariate logistic regression in this cohort, when controlling for vascular invasion, venous invasion, and capsular invasion, revealed that the WNT (odds ratio 4.43 [1.09-18.0], P = .034), PI3K (odds ratio 7.80 [1.33-45.65], P = .023), and cell cycle (odds ratio 6.81 [1.43-32.30], P = .016) pathways were significantly associated with recurrence. Median time to recurrence was 7.9 months; early recurrence (<7.9 months) was associated with MYC pathway alterations (40.9% vs 9.1%, P = .0339).

CONCLUSION

This study identified genomic signatures in the PI3K, WNT, and cell cycle pathways associated with adrenocortical carcinoma recurrence, including in those who underwent R0 resection. Investigations regarding the utility of these signatures as a prognostic tool to dictate adjuvant therapies or targeted treatment are warranted.

Whole genome profiling of primary and metastatic adrenocortical carcinoma unravels significant molecular events

Adrenocortical carcinoma (ACC) is a rare, aggressive malignancy with limited treatment options and poor prognosis, with a 5-year survival rate of about 15 %. This study used whole genome sequencing to characterize the genomic landscape of five patients, one of them with both primary and metastatic samples. Key driver mutations were detected, including APC, JAK1, RFWD3 as well as other genes. Notably, a primary tumor harbored a RAD51 biallelic deleterious translocation, associated with homologous recombination deficiency signature. Large-scale copy neutral loss of heterozygosity (LOH) was identified in four tumors, three had TP53 mutations, with structural variants impacting genes as RB1, CDKN2A, and NF1. A genomic signature specific to mismatch repair was observed in a sample with MHS6 mutation. Two tumors presented novel fusions at TERT locus, including TERT::ZNF521. Comparative analysis between conventional and oncocytic ACC subtypes revealed no significant differences in mutation load, microsatellite instability, or specific gene enrichment. This comprehensive WGS analysis broadens the spectrum of genomic alterations in ACC, highlighting potential molecular targets and differences across subtypes that may inform future therapeutic strategies.

The regulations of telomerase reverse transcriptase (TERT) in cancer

Abnormal activation of telomerase occurs in most cancer types, which facilitates escaping from cell senescence. As the key component of telomerase, telomerase reverse transcriptase (TERT) is regulated by various regulation pathways. TERT gene changing in its promoter and phosphorylation respectively leads to TERT ectopic expression at the transcription and protein levels. The co-interacting factors play an important role in the regulation of TERT in different cancer types. In this review, we focus on the regulators of TERT and these downstream functions in cancer regulation. Determining the specific regulatory mechanism will help to facilitate the development of a cancer treatment strategy that targets telomerase and cancer cell senescence. As the most important catalytic subunit component of telomerase, TERT is rapidly regulated by transcriptional factors and PTM-related activation. These changes directly influence TERT-related telomere maintenance by regulating telomerase activity in telomerase-positive cancer cells, telomerase assembly with telomere-binding proteins, and recruiting telomerase to the telomere. Besides, there are also non-canonical functions that are influenced by TERT, including the basic biological functions of cancer cells, such as proliferation, apoptosis, cell cycle regulation, initiating cell formation, EMT, and cell invasion. Other downstream effects are the results of the influence of transcriptional factors by TERT. Currently, some small molecular inhibitors of TERT and TERT vaccine are under research as a clinical therapeutic target. Purposeful work is in progress.

DNA cytosine deamination is associated with recurrent Somatic Copy Number Alterations in stomach adenocarcinoma

Stomach Adenocarcinoma (STAD) is a leading cause of death worldwide. Somatic Copy Number Alterations (SCNAs), which result in Homologous recombination (HR) deficiency in double-strand break repair, are associated with the progression of STAD. However, the landscape of frequent breakpoints of SCNAs (hotspots) and their functional impacts remain poorly understood. In this study, we aimed to explore the frequency and impact of these hotspots in 332 STAD patients and 1,043 cancer cells using data from the Cancer Genome Atlas (TCGA) and Cancer Cell Line Encyclopedia (CCLE). We studied the rates of DSB (Double-Strand Breaks) loci in STAD patients by employing the Non-Homogeneous Poisson Distribution (λ), based on which we identified 145 DSB-hotspots with genes affected. We further verified DNA cytosine deamination as a critical process underlying the burden of DSB in STAD. Finally, we illustrated the clinical impact of the significant biological processes. Our findings highlighted the relationship between DNA cytosine deamination and SCNA in cancer was associated with recurrent Somatic Copy Number Alterations in STAD.

Synergistic effects of telomerase reverse transcriptase and regulator of telomere elongation helicase 1 on aggressiveness and outcomes in adrenocortical carcinoma

Adrenocortical carcinoma (ACC) is one of the deadliest endocrine malignancies and telomere maintenance by activated telomerase is critically required for ACC development and progression. Because telomerase reverse transcriptase (TERT) and regulator of telomere elongation helicase 1 (RTEL1) play key roles in telomere homeostasis, we determined their effect on ACC pathogenesis and outcomes. Analyses of TCGA and GEO datasets showed significantly higher expression of RTEL1 but not TERT in ACC tumors, compared to their benign or normal counterparts. Furthermore, gains/amplifications of both TERT and RTEL1 genes were widespread in ACC tumors and their expression correlated with their gene copy numbers. Higher expression of either TERT or RTEL1 was associated with shorter overall and progression-free survival (OS and PFS) in the TCGA ACC patient cohort, and higher levels of both TERT and RTEL1 mRNA predicted the shortest patient OS and PFS. However, multivariate analyses showed that only RTEL1 independently predicted patient OS and PFS. Gene set enrichment analysis further showed enrichments of wnt/β-catenin, MYC, glycolysis, MTOR, and DNA repair signaling pathways in ACC tumors expressing high TERT and RTEL1 mRNA levels. Taken together, TERT and RTEL1 promote ACC aggressiveness synergistically and may serve as prognostic factors and therapeutic targets for ACC.

Conversion of a Non-Cancer-Selective Promoter into a Cancer-Selective Promoter

Simple Summary

The rat progression elevated gene-3 (PEG-3) promoter displays cancer-selective expression, whereas the rat growth arrest and DNA damage inducible gene-34 (GADD34) promoter lacks cancer specificity. PEG-3 and GADD34 minimal promoters display strong sequence homology except for two single point mutations. Since mutations are prevalent in many gene promoters resulting in significant alterations in promoter specificity and activity, we have explored the relevance of these two nucleotide alterations in determining cancer-selective gene expression. We demonstrate that these two point mutations are required to transform a non-cancer-specific promoter (pGADD) into a cancer-selective promoter (pGAPE). Additionally, we found GATA2 transcription factor binding sites in the GAPE-Prom, which regulates pGAPE activity selectively in cancer cells. This newly created pGAPE has all the necessary elements making it an appropriate genetic tool to noninvasively deliver imaging agents to follow tumor growth and progression to metastasis and for generating conditionally replicating adenoviruses that can express and deliver their payload exclusively in cancer.

Abstract

Progression-elevated gene-3 (PEG-3) and rat growth arrest and DNA damage-inducible gene-34 (GADD34) display significant sequence homology with regulation predominantly transcriptional. The rat full-length (FL) and minimal (min) PEG-3 promoter display cancer-selective expression in rodent and human tumors, allowing for cancer-directed regulation of transgenes, viral replication and in vivo imaging of tumors and metastases in animals, whereas the FL- and min-GADD34-Prom lack cancer specificity. Min-PEG-Prom and min-GADD34-Prom have identical sequences except for two single-point mutation differences (at −260 bp and +159 bp). Engineering double mutations in the min-GADD34-Prom produce the GAPE-Prom. Changing one base pair (+159) or both point mutations in the min-GADD34-Prom, but not the FL-GADD34-Prom, results in cancer-selective transgene expression in diverse cancer cells (including prostate, breast, pancreatic and neuroblastoma) vs. normal counterparts. Additionally, we identified a GATA2 transcription factor binding site, promoting cancer specificity when both min-PEG-Prom mutations are present in the GAPE-Prom. Taken together, introducing specific point mutations in a rat min-GADD34-Prom converts this non-cancer-specific promoter into a cancer-selective promoter, and the addition of GATA2 with existing AP1 and PEA3 transcription factors enhances further cancer-selective activity of the GAPE-Prom. The GAPE-Prom provides a genetic tool to specifically regulate transgene expression in cancer cells.