Building upon our previous investigation of genomic, epigenomic, and transcriptomic profiles of prostate cancer in China, we conducted a comprehensive analysis of proteomic and phosphoproteomic profiles of 82 tumor tissues and matched adjacent normal tissues from 41 Chinese patients with localized prostate cancer. We identified three distinct proteomic subtypes with significant difference in both molecular features and clinical prognosis. Notably, these proteomic subtypes exhibited a parallel degree of heterogeneity in the phosphoproteome, featuring unique metabolism, proliferation, and immune infiltration characteristics. We further demonstrated that a combination of proteins and phosphosites serves as the most effective biomarkers in prostate cancer to predict biochemical recurrence. Through an integrated multiomics analysis, we revealed mechanistic differences underlying different proteomic subtypes and highlighted the potential significance of Serine/arginine-rich splicing factor 1 (SRSF1) phosphorylation in promoting the malignant characteristics of prostate cancer cells. Our multiomics data provide valuable resources for understanding the molecular mechanisms of prostate cancer within the Chinese population, which have the potential to inform the development of personalized treatment strategies and enhance prognostic analyses for prostate cancer patients.

Purpose A growing number of Chinese individuals of reproductive age will face the choice of accepting or refusing expanded carrier screening (ECS). This study aimed to explore the awareness, wishes, and possible misconceptions of ECS among this population, as well as factors affecting their decision-making. Methods Chinese reproductive-aged individuals in Eastern China who sought cell-free fetal DNA screening and peripheral blood karyotype were invited to complete a 31-item ECS survey by scanning a specific quick response code. We evaluated the relationship between awareness, attitudes, and intentions to participate in ECS, along with possible misconceptions. Results Overall, 93.1% of participants intended to undergo ECS at their expenses, and 53.6% indicated they would pay less than 1000 CNY (approximately 145 USD) for the test. Around 96.5% of participants had misconceptions about ECS and genetic diseases. Participants whose first reaction was interest, who had prior awareness of the test, or who perceived benefits were more likely to intend to use ECS (p < 0.001). Participants with a bachelor’s degree or above or with a household income over 150,000 CNY (approximately 21,700 USD) would be more likely to pay ≥ 1000 CNY (p < 0.05). Conclusions Our study indicates that overall, the Eastern Chinese reproductive-aged population has positive attitudes towards ECS, although there are some misconceptions about ECS and genetic disorders. Population-based ECS appears to be desired by the reproductive-aged people in Eastern China. Steps should be taken to offer ECS along with pre- and post-test education and genetic counseling to raise awareness and to reduce misconceptions.

Background: Open radical nephrectomy (ORN) is a practical procedure for treating patients with large renal carcinomas >10 cm in size, and few studies have focused on feasibility and safety of laparoscopic radical nephrectomy (LRN). The current study was to assess the safety and effectiveness of LRN and ORN in large renal carcinoma patients by propensity matched pair analysis. Methods: In this cohort study, a retrospective review of radical nephrectomy data from October 2010 to October 2018 at Changhai Hospital was conducted. Patients with renal carcinomas >10 cm in size by pre-operative images were included. Patients’ demographics including age, gender, body mass index (BMI), tumor size, operation time, hospitalization days, etc. were collected. Renal tumor patients undergoing LRN or ORN were match-paired by gender, BMI, age, and tumor size. Peri-operative outcomes including estimated blood loss and complications were compared. The follow-up contents included survival time, disease progression, and cause of death, and cancer-specific and progression-free survival were estimated via Kaplan-Meier curve analysis. Results: Among 92 patients with clinical T2b renal masses, 37 pairs were matched. The average tumor sizes of the LRN and ORN groups were 11.37±0.30 and 11.67±0.33 cm (P=0.375), respectively. The average operating time for LRN was slightly longer (204.32±11.17 vs. 192.78±8.50 min, P=0.414). Estimated blood loss (EBL) (336.49±63.58 mL for LRN vs. 545.95±74.52 mL for ORN, P=0.036), the length of postoperative stay [6.0 (5.0–9.0) for LRN vs. 9.0 (6.0–11.5) days for ORN, P=0.015], and removal time of the drainage tube [4.0 (3.0–5.0) days for LRN vs. 5.0 (4.0–6.0) for ORN, P<0.001] were less than in the LRN group. The pathological subtype and Fuhrman grade were comparable. Both groups were followed up for a similar period, and no difference was observed in 5-year survival rates. Conclusions: Considering the conversion rates and overall complication rates, it seems that LRN for large renal carcinomas demonstrated equivalent peri-operative safety and effectiveness compared with ORN, with no adverse effects on midterm oncological outcomes.

Background: Prostate cancer (PCa) is a common type of malignancy, which represents one of the leading causes of death among men worldwide. Copy number variations (CNVs) and gene fusions play important roles in PCa and may serve as markers for the prognosis of this condition. Methods: We have presently conducted an analysis of CNVs and gene fusions in PCa, using whole exome sequencing (WES) data of primary tumors. For this, a cohort of 74 PCa patients, including 30 recurrent and 44 non-recurrent cases, were assessed during 5 years of follow-up. Results: We have identified 66 CNVs that were specific to the primary tumor tissues from the recurrent PCa group. Most of duplicated genomic regions were located in 8q2, suggesting that this chromosomal region could be important for the prognosis of PCa. Meanwhile, we have developed a random forest model, using six selected CNVs, with an accuracy near 90% for predicting PCa recurrence according to a 10-fold cross validation. In addition, we have detected 16 recurrent oncogenic gene fusions in PCa. Among these, ALK (ALK receptor tyrosine kinase)-involved fusions were the most common type of gene fusion (n=7). Four of these fusions (i.e., EML4-ALK, STRN-ALK, CLTC-ALK, ETV6-ALK) were previously identified in other cancer types, while the remaining three gene fusions (FRYL-ALK, ABL1-ALK, and BCR-ALK) were here identified. Conclusions: Our findings expand the current understanding in regard to prostate carcinogenesis. Current data might be further used for assay development as well as to predict PCa recurrence, using primary tissues.

Background: Prostate cancer (PCa) is the most common malignant tumor of the male urinary system. Cuproptosis, as a novel regulated cell death, remains unclear in PCa. This study aimed to investigate the role of cuproptosis-related genes (CRGs) in molecular stratification, prognostic prediction, and clinical decision-making in PCa. Methods: Cuproptosis-related molecular subtypes were identified by consensus clustering analysis. A prognostic signature was constructed with LASSO cox regression analyses with 10-fold cross-validation. It was further validated in the internal validation cohort and eight external validation cohorts. The tumor microenvironment between the two risk groups was compared using the ssGSEA and ESTIMATE algorithms. Finally, qRT-PCR was used to explore the expression and regulation of these model genes at the cellular level. Furthermore, 4D Label-Free LC-MS/MS and RNAseq were used to investigate the changes in CRGs at protein and RNA levels after the knockdown of the key model gene B4GALNT4.Results: Two cuproptosis-related molecular subtypes with significant differences in prognoses, clinical features, and the immune microenvironment were identified. Immunosuppressive microenvironments were associated with poor prognosis. A prognostic signature comprised of five genes (B4GALNT4, FAM83D, COL1A, CHRM3, and MYBPC1) was constructed. The performance and generalizability of the signature were validated in eight completely independent datasets from multiple centers. Patients in the high-risk group had a poorer prognosis, more immune cell infiltration, more active immune-related functions, higher expression of human leukocyte antigen and immune checkpoint molecules, and higher immune scores. In addition, anti-PDL-1 immunotherapy prediction, somatic mutation, chemotherapy response prediction, and potential drug prediction were also analyzed based on the risk signature. The validation of five model genes' expression and regulation in qPCR was consistent with the results of bioinformatics analysis. Transcriptomics and proteomics analyses revealed that the key model gene B4GALNT4 might regulate CRGs through protein modification after transcription.Conclusion: The cuproptosis-related molecular subtypes and the prognostic signature identified in this study could be used to predict the prognosis and contribute to the clinical decision-making of PCa. Furthermore, we identified a potential cuproptosis-related oncogene B4GALNT4 in PCa, which could be used as a target to treat PCa in combination with cuproptosis.