BACKGROUND:Poly (ADP-ribose) polymerase inhibitors (PARPis) can effectively treat ovarian cancer patients with defective homologous recombination (HR). Loss or dysfunction of PTEN, a typical tumour suppressor, impairs double-strand break (DSB) repair. Hence, we explored the possibility of inhibiting PTEN to induce HR deficiency (HRD) for PARPi application. METHODS:Functional studies using PTEN inhibitor VO-OHpic and PARPi olaparib were performed to explore the molecular mechanisms in vitro and in vivo. RESULTS:In this study, the combination of VO-OHpic with olaparib exhibited synergistic inhibitory effects on ovarian cancer cells was demonstrated. Furthermore, VO-OHpic was shown to enhance DSBs by reducing nuclear expression of PTEN and inhibiting HR repair through the modulation of MRE11-RAD50-NBN (MRN) complex, critical for DSB repair. TCGA and GTEx analysis revealed a strong correlation between PTEN and MRN in ovarian cancer. Mechanistic studies indicated that VO-OHpic reduced expression of MRN, likely by decreasing PTEN/E2F1-mediated transcription. Moreover, PTEN-knockdown inhibited expression of MRN, increased sensitivities to olaparib, and induced DSBs. In vivo experiments showed that the combination of VO-OHpic with olaparib exhibited enhanced inhibitory effects on tumour growth. CONCLUSIONS:Collectively, this study highlights the potential of PTEN inhibitors in combination therapy with PARPis to create HRD for HRD-negative ovarian cancers.

BACKGROUND:Colorectal cancer, a prevalent malignancy worldwide, poses a significant challenge due to the lack of effective prognostic tools. In this study, we aimed to develop a functional gene signature to stratify colorectal cancer patients into different groups with distinct characteristics, which will greatly facilitate disease prediction. RESULTS:Patients were stratified into high- and low-risk groups using a prediction model built based on the functional gene signature. This innovative approach not only predicts clinicopathological features but also reveals tumor immune microenvironment types and responses to immunotherapy. The study reveals that patients in the high-risk group exhibit poorer pathological features, including invasion depth, lymph node metastasis, and distant metastasis, as well as unfavorable survival outcomes in terms of overall survival and disease-free survival. The underlying mechanisms for these observations are attributed to upregulated tumor-related signaling pathways, increased infiltration of pro-tumor immune cells, decreased infiltration of anti-tumor immune cells, and a lower tumor mutation burden. Consequently, patients in the high-risk group exhibit a diminished response to immunotherapy. Furthermore, the high-risk group demonstrates enrichment in extracellular matrix-related functions and significant infiltration of cancer-associated fibroblasts (CAFs). Single-cell transcriptional data analysis identifies CAFs as the primary cellular type expressing hub genes, namely ACTA2, TPM2, MYL9, and TAGLN. This finding is further validated through multiple approaches, including multiplex immunohistochemistry (mIHC), polymerase chain reaction (PCR), and western blot analysis. Notably, TPM2 emerges as a potential biomarker for identifying CAFs in colorectal cancer, distinguishing them from both colorectal cancer cell lines and normal colon epithelial cell lines. Co-culture of CAFs and colorectal cancer cells revealed that CAFs could enhance the tumorigenic biofunctions of cancer cells indirectly, which could be partially inhibited by knocking down CAF original TPM2 expression. CONCLUSIONS:This study introduces a functional gene signature that effectively and reliably predicts clinicopathological features and the tumor immune microenvironment in colorectal cancer. Moreover, the identification of TPM2 as a potential biomarker for CAFs holds promising implications for future research and clinical applications in the field of colorectal cancer.

Viscoelasticity is a crucial property of cells, which plays an important role in label-free cell characterization. This paper reports a model-fitting-free viscoelasticity calculation method, correcting the effects of frequency, surface adhesion and liquid resistance on AFM force-distance (FD) curves. As demonstrated by quantifying the viscosity and elastic modulus of PC-3 cells, this method shows high self-consistency and little dependence on experimental parameters such as loading frequency, and loading mode (Force-volume vs. PeakForce Tapping). The rapid calculating speed of less than 1ms per curve without the need for a model fitting process is another advantage. Furthermore, this method was utilized to characterize the viscoelastic properties of primary clinical prostate cells from 38 patients. The results demonstrate that the reported characterization method a comparable performance with the Gleason Score system in grading prostate cancer cells, This method achieves a high average accuracy of 97.6% in distinguishing low-risk prostate tumors (BPH and GS6) from higher-risk (GS7-GS10) prostate tumors and a high average accuracy of 93.3% in distinguishing BPH from prostate cancer.

Hepatocellular carcinoma(HCC)is the third leading cause of cancer-related death worldwide.1 E2 ubiquitin conju-gating enzymes(UBE2)are potential therapeutic targets in tumors arising from genomic instability and tumor micro-environment(TME).2,3 UBE2S,an important UBE2,has demonstrated strong oncogenic activities in various malig-nant cancers,including HCC.However,a comprehensive study regarding its role in HCC is still absent,and its asso-ciation with immunology and drug response of HCC is still unclear.In this study,we conducted a pan-cancer analysis of UBE2S expression and prognosis,carried out enrichment analysis of UBE2S-associated genes,and analyzed associa-tion between UBE2S expression and HCC microenviron-ment,stemness and drug response.