Citations

Objectives To investigate the genetic alterations of patients with prostate cancer (PCa) with and without intraductal carcinoma of the prostate (IDC‐P). Patients and Methods We performed targeted sequencing of plasma cell‐free DNA on 161 patients with prostate adenocarcinoma (PAC) with IDC‐P and 84 without IDC‐P. Genomic alterations were compared between these two groups. The association between genetic alterations and patients’ survival outcomes was also explored. Results We identified that 29.8% (48/161) and 21.4% (18/84) of patients with and without IDC‐P harboured genomic alterations in DNA repair pathways, respectively ( P = 0.210). Pathogenic germline DNA repair alterations were frequently detected in IDC‐P carriers compared to IDC‐P non‐carriers (11.8% [19/161] vs 2.4% [two of 84], P = 0.024). Germline BReast CAncer type 2 susceptibility protein ( BRCA2 ) and somatic cyclin‐dependent kinase 12 ( CDK12 ) defects were specifically identified in IDC‐P carriers relative to PAC ( BRCA2 : 8.7% [14/161] vs 0% and CDK12 : 6.8% [11/161] vs 1.2% [one of 84]). Patients with IDC‐P had a distinct androgen receptor (AR) pathway alteration, characterised by an enrichment of nuclear receptor corepressor 2 ( NCOR2 ) mutations compared with patients with pure PAC (21.1% [34/161] vs 6.0% [five of 84], P = 0.004). Increased AR alterations were detected in patients harbouring tumours with an IDC‐P proportion of ≥10% vs those with an IDC‐P proportion of <10% (6.4% [five of 78] vs 18.1% [15/83], P = 0.045). For IDC‐P carriers, tumour protein p53 ( TP53 ) mutation was associated with shorter castration‐resistant‐free survival (median 10.9 vs 28.9 months, P = 0.026), and BRCA2 alteration was related to rapid prostate‐specific antigen progression for those receiving abiraterone treatment (median 9.1 vs 11.9 months, P = 0.036). Conclusion Our findings provide genomic evidence explaining the aggressive phenotype of tumours with IDC‐P, highlighting the potential therapeutic strategies for this patient population.

Meningovascular neurosyphilis is a common cause of stroke in young adults, particularly when HIV co-infection is present. Contemporary screening for neurosyphilis relies on invasive testing. High resolution vessel wall imaging (HR-VW) is an emerging non-invasive tool to detect intracranial vessel wall inflammation. We report a case of multifocal acute cerebral infarctions from meningovascular neurosyphillis in which HR-VWI was instrumental in leading to the etiological diagnosis. A 32-year-old man with history of untreated HIV and polysubstance abuse presented with sudden onset vertigo. CT angiogram of the head and neck showed non-dominant left extracranial vertebral artery occlusion in the V1 segment, and multifocal areas of stenoses in V2 through V4 segments. Non-contrast brain MRI demonstrated multiple small acute infarcts in the left cerebellum, left brachium pontis, medulla and occipital lobe. Rapid plasma reagin was reactive. 3D whole-brain HR-VWI revealed concentric vessel wall contrast enhancement in the left V4 segment, suggestive of inflammation. This HR-VWI finding prompted further investigation with cerebrospinal fluid analysis that revealed reactive fluorescent treponemal antibody absorption test. The patient received high-dose intravenous Penicillin G, was restarted on highly active antiretroviral therapy, and remained neurologically stable to-date. With high spatial resolution and signal-to-noise ratio, HR-VWI allows for visualization of vessel wall inflammation in co-morbid HIV and neurosyphilis.

Abstract TFE3-translocation renal cell carcinoma (TFE3-tRCC) is a rare and heterogeneous subtype of kidney cancer that has no standard treatment for advanced disease. We described comprehensive molecular characteristics of 63 untreated primary TFE3-tRCCs based on whole-exome and RNA sequencing. TFE3-tRCC is highly heterogeneous, both clinicopathologically and genotypically. ASPSCR1-TFE3 fusion, certain fusion isoforms and high somatic copy number alteration burdens were associated with aggressive features and poor outcomes. Apart from tumors with MED15-TFE3 fusion, most TFE3-tRCCs exhibited low PD-L1 expression and low T-cell infiltration. Unsupervised transcriptomic analysis revealed five molecular clusters with distinct angiogenesis, stroma, proliferation and KRAS down signatures, which showed association with fusion patterns and prognosis. Specifically, the high angiogenesis/stroma/proliferation cluster exclusively consisted of tumors with ASPSCR1-TFE3 fusion, which was likely to benefit from combination of immune checkpoint and anti-angiogenesis inhibitors. Our findings reveal the genomic and transcriptomic features of TFE3-tRCC and provide insights into precision medicine for this disease.

AbstractPurpose:Fumarate hydratase–deficient renal cell carcinoma (FH-deficient RCC) is a rare but lethal subtype of RCC. Little is known about the genomic profile of FH-deficient RCC, and the therapeutic options for advanced disease are limited. To this end, we performed a comprehensive genomics study to characterize the genomic and epigenomic features of FH-deficient RCC.Experimental Design:Integrated genomic, epigenomic, and molecular analyses were performed on 25 untreated primary FH-deficient RCCs. Complete clinicopathologic and follow-up data of these patients were recorded.Results:We identified that FH-deficient RCC manifested low somatic mutation burden (median 0.58 mutations per megabase), but with frequent somatic copy-number alterations. The majority of FH-deficient RCCs were characterized by a CpG sites island methylator phenotype, displaying concerted hypermethylation at numerous CpG sites in genes of transcription factors, tumor suppressors, and tumor hallmark pathways. However, a few cases (20%) with low metastatic potential showed relatively low DNA methylation levels, indicating the heterogeneity of methylation pattern in FH-deficient RCC. Moreover, FH-deficient RCC is potentially highly immunogenic, characterized by increased tumor T-cell infiltration but high expression of immune checkpoint molecules in tumors. Clinical data further demonstrated that patients receiving immune checkpoint blockade–based treatment achieved improved progression-free survival over those treated with antiangiogenic monotherapy (median, 13.3 vs. 5.1 months; P = 0.03).Conclusions:These results reveal the genomic features and provide new insight into potential therapeutic strategies for FH-deficient RCC.

T1-weighted MRI has been extensively used to extract imaging biomarkers and build classification models for differentiating Alzheimer’s disease (AD) patients from healthy controls, but only recently have brain connectome networks derived from diffusion-weighted MRI been used to model AD progression and various stages of disease such as mild cognitive impairment (MCI). MCI, as a possible prodromal stage of AD, has gained intense interest recently, since it may be used to assess risk factors for AD. Little work has been done to combine information from both white matter and gray matter, and it is unknown how much classification power the diffusion-weighted MRI-derived structural connectome could provide beyond information available from T1-weighted MRI. In this paper, we focused on investigating whether diffusion-weighted MRI-derived structural connectome can improve differentiating healthy controls subjects from those with MCI. Specifically, we proposed a novel feature-ranking method to build classification models using the most highly ranked feature variables to classify MCI with healthy controls. We verified our method on two independent cohorts including the second stage of Alzheimer’s Disease Neuroimaging Initiative (ADNI2) database and the National Alzheimer’s Coordinating Center (NACC) database. Our results indicated that 1) diffusion-weighted MRI-derived structural connectome can complement T1-weighted MRI in the classification task; 2) the feature-rank method is effective because of the identified consistent T1-weighted MRI and network feature variables on ADNI2 and NACC. Furthermore, by comparing the top-ranked feature variables from ADNI2, NACC, and combined dataset, we concluded that cross-validation using independent cohorts is necessary and highly recommended.