OBJECTIVE: Dose-dense paclitaxel /carboplatin (ddTC) therapy was shown to be more effective against ovarian cancer than conventional tri-weekly TC in the JGOG3016 study. However, two phase III studies performed after JGOG3016 did not show the same positive results. Because we have been using ddTC in the frontline or first platinum-sensitive relapse of ovarian cancer, we investigated the clinical outcome of the patients treated with ddTC.
METHODS: We retrospectively examined the response rate (RR), progression free survival (PFS) and adverse events of the patients who were treated with ddTC for stage III and IV epithelial ovarian, tubal and peritoneal cancer from January 2012 to December 2018.
RESULTS: We analyzed 50 patients for frontline treatment and 11 patients for first platinum-sensitive relapse treatment, excluding those receiving maintenance therapy. Among the patients that received frontline ddTC treatment, RR was 82.9% for those in a neo-adjuvant chemotherapy (NACT) setting and 85.0% for those in an adjuvant setting. The median progression-free survival (PFS) was 20 months after initial therapy. Among 31 cases that achieved remission by frontline surgery and the following ddTC, 22 had a platinum-sensitive relapse. RR of 11 patients treated with ddTC therapy alone for the first platinum-sensitive relapse was 81.8%, and the median PFS of these patients was 22 months after the first recurrence.
CONCLUSIONS: ddTC therapy for advanced ovarian cancer achieved high response rates in all settings (NACT, adjuvant or platinum-sensitive relapse). ddTC therapy was effective for improving the prognosis of patients with stages III and IV of ovarian cancer.

Ovarian cancer is considered the most lethal among all gynecological malignancies due to its early metastatic dissemination, extensive spread, and malignant ascites. The current standard of care for advanced ovarian cancer involves a combination of cytoreductive surgery and chemotherapy utilizing platinum-based and taxane-based agents. Although initial treatment yields clinical remission in 70-80% of patients, the majority eventually develop treatment resistance and tumor recurrence. A growing body of evidence indicates the existence of cancer stem cells within diverse solid tumors, including ovarian cancer, which function as a subpopulation to propel tumor growth and disease advancement by means of drug resistance, recurrence, and metastasis. The presence of ovarian cancer stem cells is widely considered to be a significant contributor to the unfavorable clinical outcomes observed in patients with ovarian cancer, as they play a crucial role in mediating chemotherapy resistance, recurrence, and metastasis. Ovarian cancer stem cells possess the capacity to reassemble within the entirety of the tumor following conventional treatment, thereby instigating the recurrence of ovarian cancer and inducing resistance to treatment. Consequently, the creation of therapeutic approaches aimed at eliminating ovarian cancer stem cells holds great potential for the management of ovarian cancer. These cells are regarded as one of the most auspicious targets and mechanisms for the treatment of ovarian cancer. There is a pressing need for a comprehensive comprehension of the fundamental mechanisms of ovarian cancer\'s recurrence, metastasis, and drug resistance, alongside the development of effective strategies to overcome chemoresistance, metastasis, and recurrence. The implementation of cancer stem cell therapies may potentially augment the tumor cells\' sensitivity to existing chemotherapy protocols, thereby mitigating the risks of tumor metastasis and recurrence, and ultimately improving the survival rates of ovarian cancer patients.

Ovarian cancer is among the most common gynecological cancers and the eighth leading cause of cancer-related deaths among women worldwide. Surgery is among the most important options for cancer treatment. During surgery, a biopsy is generally required to screen for lesions; however, traditional case examinations are time consuming and laborious and require extensive experience and knowledge from pathologists. Therefore, this study proposes a simple, fast, and label-free ovarian cancer diagnosis method that combines second harmonic generation (SHG) imaging and deep learning. Unstained fresh human ovarian tissues were subjected to SHG imaging and accurately characterized using the Pyramid Vision Transformer V2 (PVTv2) model. The results showed that the SHG imaged collagen fibers could quantify ovarian cancer. In addition, the PVTv2 model could accurately differentiate the 3240 SHG images obtained from our imaging collection into benign, normal, and malignant images, with a final accuracy of 98.4%. These results demonstrate the great potential of SHG imaging techniques combined with deep learning models for diagnosing the diseased ovarian tissues.

Ovarian cancer (OC) is a devastating disease for women, with chemotherapy resistance taking the lead. Cisplatin has been the first-line therapy for OC for a long time. However, the resistance of OC to cisplatin is an important impediment to its efficacy. Mounting studies showed that ovarian cancer stem cells (OCSCs) affected chemotherapy resistance by secreting exosomes. MicroRNAs (miRNAs) play important roles in exosomes secreted by OCSCs. Here, through the analysis of GEO database (GSE107155) combined with RT-qPCR of OC-related cells/clinical tissues, it was found that hsa-miR-4516 (miR-4516) was significantly up-regulated in OCSCs. Then, OCSCs-derived exosomes were isolated and identified, and it was observed the influence of exosomes on the chemoresistance in SKOV3/cisplatin (SKOV3/DDP) cells. These results manifested that OCSCs-mediated exosomes facilitated the chemoresistance of SKOV3/DDP cells by delivering miR-4516 into them. Growth arrest-specific 7 (GAS7), a downstream target of miR-4516, was determined by bioinformatics prediction combined with molecular biological detection. Next, we up-regulated GAS7 expression and discovered that the promotion of chemoresistance in SKOV3/DDP cells by OCSCs-derived exosomes was significantly impaired. Finally, the mice tumor model of SKOV3/DDP cells was built to estimate the effect of GAS7 over-expression on OC growth. The results showed that GAS7 inhibited the chemoresistance of OC in vivo. In conclusion, our experiments suggested that OCSCs-derived exosomes enhanced OC cisplatin resistance by suppressing GAS7 through the delivery of miR-4516. This study provides a possible target for the treatment of OC DDP resistance.

OBJECTIVE: This longitudinal study investigated distress rates in patients with advanced ovarian cancer during the COVID-19 pandemic and examined whether time, illness representations, and coping strategies predicted distress levels.
METHODS: UK patients with stage 3 or 4 ovarian cancer were recruited between September 2020 and March 2021. Data were collected at baseline (T0), 2 months (T1), and 4 months (T2) post-enrolment. Validated questionnaires assessed distress (anxiety, depression, PTSD, fear of progression) and predictors (coping strategies and illness perceptions), analysed via multilevel modelling.
RESULTS: Seventy-two participants returned a questionnaire at T0, decreasing to 49 by T2. High distress was observed, with over 50% of participants experiencing anxiety and depression consistently. Nearly 60% reported clinical levels of fear of progression at some point. PTSD rates resembled the general population. Although distress levels remained stable over time, some individual variability was observed. Time had minimal effect on distress. Coping strategies and illness perceptions remained stable. Threatening illness perceptions consistently predicted distress, while specific coping strategies such as active coping, acceptance, self-blame, and humour predicted various aspects of distress. Together, these factors explained up to half of the distress variance.
CONCLUSIONS: The findings have implications for routine screening for distress and the inclusion of psychological treatment pathways in advanced ovarian cancer care. Addressing illness representations is crucial, with attention to informational support. Future research should explore the long-term effects of heightened distress and the effectiveness of interventions targeting illness perceptions. This study informs current clinical practice and future pandemic preparedness in cancer care.

In addition to their immunosuppressive effect, cytostatics conditioning prior to adoptive therapy such as chimeric antigen receptor (CAR) T cells may play a role in debulking and remodeling the tumor microenvironment. We investigated in vitro the killing efficacy and impact of treosulfan and fludarabine on ovarian cancer cells expressing mesothelin (MSLN) and effect on MSLN-targeting CAR T cells. Treosulfan and fludarabine had a synergetic effect on killing of SKOV3 and OVCAR4 cells. Sensitivity to the combination of treosulfan and fludarabine was increased when SKOV3 cells expressed MSLN and when OVCAR4 cells were tested in hypoxia, while MSLN cells surface expression by SKOV3 and OVCAR4 cells was not altered after treosulfan or fludarabine exposure. Exposure to treosulfan or fludarabine (10 µM) neither impacted MSLN-CAR T cells degranulation, cytokines production upon challenge with MSLN + OVCAR3 cells, nor induced mitochondrial defects. Combination of treosulfan and fludarabine decreased MSLN-CAR T cells anti-tumor killing in normoxia but not hypoxia. In conclusion, treosulfan and fludarabine killed MSLN + ovarian cancer cells without altering MSLN-CAR T cells functions (at low cytostatics concentration) even in hypoxic conditions, and our data support the use of treosulfan and fludarabine as conditioning drugs prior to MSLN-CAR T cell therapy.

UNASSIGNED: Ovarian cancer is an aggressive malignancy with high mortality known for its considerable metastatic potential. This study aimed to explore the expression and functional role of Unc-51 like autophagy activating kinase 2 (ULK2) in the progression of ovarian cancer.
UNASSIGNED: ULK2 expression patterns in ovarian cancer tissues as well as benign tumor control samples obtained from our institution were evaluated using immunohistochemistry. Cell counting kit 8 and Transwell assays were applied to assess the effects of ULK2 overexpression on cell proliferation, migration and invasion, respectively. RNA sequencing was performed to explore potential mechanisms of action of ULK2 beyond its classical autophagy modulation.
UNASSIGNED: Our experiments showed significant downregulation of ULK2 in ovarian cancer tissues. Importantly, low expression of ULK2 was markedly correlated with decreased overall survival. In vitro functional studies further demonstrated that overexpression of ULK2 significantly suppressed tumor cell proliferation, migration, and invasion. RNA sequencing analysis revealed a potential regulatory role of ULK2 in the insulin signaling pathway through upregulation of insulin-like growth factor binding protein-3 (IGFBP3) in ovarian cancer cells.
UNASSIGNED: In summary, the collective data indicated that ULK2 acted as a tumor suppressor in ovarian cancer by upregulating the expression of IGFBP3. Our study underscores the potential utility of ULK2 as a valuable prognostic marker for ovarian cancer.

UNASSIGNED: Pre-clinical studies showed the anti-tumor mechanisms of PARP inhibitors (PARPi) and platinum have some crossover and overlap in the DNA damage repair pathway, patients who respond to platinum-based chemotherapy are also more likely to be sensitive to PARPi. This real-world study mainly aimed to evaluate whether TRAE (treatment-related adverse event) between platinum based chemotherapy (PBC) and niraparib are also associated.
UNASSIGNED: Patients received niraparib as maintenance treatment or salvage therapy for advanced ovarian cancer at the First Affiliated Hospital of Gannan Medical University from January 2020 to August 2023 were included. Survival data of niraparib treatment and adverse events occurred during the last platinum-based chemotherapy cycle before starting niraparib treatment and during niraparib treatment are documented. Fisher\'s exact test were used for correlation analysis.
UNASSIGNED: 1. 40 patients treated with niraparib were included in the analysis, including 31 patients treated with niraparib for 1st-line maintenance therapy, 6 patients for PSR (platinum-sensitive recurrence) maintenance therapy, and 3 patients for salvage therapy. The overall median follow-up time was 15.0 months (ranged from 2.2 months to 32.1 months). 2. Overall grade≥3 TRAE (40% vs 70%, p=0.012) including anemia (20% vs 45%, p=0.041) and neutrophil count decreased (17.5% vs 57.5%, p<0.001) was significantly lower during niraparib treatment compared to during chemotherapy. 3. Any grade TRAE (75% vs 100%, p=0.002) including white blood cell count decreased (47.5% vs 87.5%, p<0.001), red blood cell count decreased (57.5% vs 92.5%, p<0.001), anemia (55% vs 87.5%, p<0.001) and neutrophil count decreased (35% vs 85%, p<0.001) were also significantly lower in niraparib treatment group compared with chemotherapy group. No new safety signals were identified.
UNASSIGNED: 1. In this real-world practice, we observed that patients with advanced ovarian cancer who experienced any grade and grade ≥3 TRAE during chemotherapy were well tolerated when treated with niraparib, particularly the incidence of any grade and grade ≥3 anemia, and neutrophil count decreased during niraparib treatment were significantly lower compared with that during chemotherapy. 2. For patients with ovarian cancer who have experienced grade ≥3 hematological adverse reactions during prior platinum-based chemotherapy, greater attention should be paid to the monitoring and management of hematological adverse reactions during subsequent treatment with niraparib.

UNASSIGNED: Ovarian cancer (OC) ranks as the fifth most prevalent neoplasm in women and exhibits an unfavorable prognosis. To improve the OC patient\'s prognosis, a pioneering risk signature was formulated by amalgamating disulfidptosis-related genes.
UNASSIGNED: A comparative analysis of OC tissues and normal tissues was carried out, and differentially expressed disulfidptosis-related genes (DRGs) were found using the criteria of |log2 (fold change) | > 0.585 and adjusted P-value <0.05. Subsequently, the TCGA training set was utilized to create a prognostic risk signature, which was validated by employing both the TCGA testing set and the GEO dataset. Moreover, the immune cell infiltration, mutational load, response to chemotherapy, and response to immunotherapy were analyzed. To further validate these findings, QRT-PCR analysis was conducted on ovarian tumor cell lines.
UNASSIGNED: A risk signature was created using fourteen differentially expressed genes (DEGs) associated with disulfidptosis, enabling the classification of ovarian cancer (OC) patients into high-risk group (HRG) and low-risk group (LRG). The HRG exhibited a lower overall survival (OS) compared to the LRG. In addition, the risk score remained an independent predictor even after incorporating clinical factors. Furthermore, the LRG displayed lower stromal, immune, and estimated scores compared to the HRG, suggesting a possible connection between the risk signature, immune cell infiltration, and mutational load. Finally, the QRT-PCR experiments revealed that eight genes were upregulated in the human OC cell line SKOV3 compared with the human normal OC line IOSE80, while six genes were down-regulated.
UNASSIGNED: A fourteen-biomarker signature composed of disulfidptosis-related genes could serve as a valuable risk stratification tool in OC, facilitating the identification of patients who may benefit from individualized treatment and follow-up management.

OBJECTIVE: To develop a pre-operative tool to estimate the risk of peri-operative packed red blood cell transfusion in primary debulking surgery.
METHODS: We retrospectively reviewed an institutional database to identify patients who underwent primary debulking surgery for ovarian cancer at a single center between January 1, 2001 and May 31, 2019. Receiver operating characteristic curve and area under the receiver operating characteristic curve (AUC) were calculated. Five-fold cross-validation was applied to the multivariate model. Significant variables were assigned a \'BLOODS\' (BLood transfusion Over an Ovarian cancer Debulking Surgery) score of +1 if present. A total BLOODS score was calculated for each patient, and the odds of receiving a transfusion was determined for each score.
RESULTS: Overall, 1566 patients met eligibility criteria; 800 (51%) underwent a peri-operative blood transfusion. Odds ratios (OR) were statistically significant for American Society of Anesthesiologists scores of 3 and 4 (OR 1.34, 95% confidence interval (95% CI) 1.09 to 1.63), pre-operative levels of cancer antigen 125 (CA125) (OR 2.43, 95% CI 1.98 to 2.99), platelets (OR 1.59, 95% CI 1.45 to 1.74), obesity (OR 0.76, 95% CI 0.60 to 0.96), presence of carcinomatosis (OR 2.45, 95% CI 1.93 to 3.11), bulky upper abdominal disease (OR 2.86, 95% CI 2.32 to 3.54), pre-operative serum albumin level (OR 0.31, 95% CI 0.24 to 0.40), and pre-operative hemoglobin level (OR 0.56, 95% CI 0.51 to 0.61). The corrected AUC was 0.748 (95% CI 0.693 to 0.804). BLOODS scores of 0 and 5 corresponded to 11% and 73% odds, respectively, of receiving a peri-operative blood transfusion.
CONCLUSIONS: We developed a universal pre-operative scoring system, the BLOODS score, to help identify patients with ovarian cancer who would benefit from surgical planning and blood-saving techniques. The BLOODS score was directly proportional to the American Society of Anesthesiologists score, presence of upper abdominal disease, carcinomatosis, CA125 level, and platelets level. We believe this model can help physicians with surgical planning and can benefit patient outcomes.