Association Between Overall Survival and the Tendency for Cancer Programs to Administer Neoadjuvant Chemotherapy for Patients With Advanced Ovarian Cancer

Predictive value of homologous recombination deficiency status for survival outcomes in primary tubo-ovarian high-grade serous carcinoma

OBJECTIVES

This is a protocol for a Cochrane Review (prognosis). The objectives are as follows: To evaluate the predictive value of the prognostic factor HRD status, as determined by various clinically validated HRD assays at the time of staging laparotomy, compared to BRCA1/2 mutation status for progression-free survival and overall survival in patients with tubo-ovarian high-grade serous carcinoma treated in the first-line setting with a combination of surgery and platinum-based chemotherapy and/or maintenance with PARP inhibitors.

Association between BMI and oncologic outcomes in epithelial ovarian cancer: a predictors-matched case-control study

OBJECTIVE

We aimed to study the association between obesity and survival in ovarian cancer (OC) patients, accounting for confounders as disease stage, histology, and comorbidities.

METHODS

Retrospective matched case-control study of consecutive patients, with epithelial OC. Obese (body mass index [BMI] ≥ 35 kg m-2) patients were matched in a 1:4 ratio with patients having lower BMIs (BMI < 35 kg m-2) based on disease stage, cytoreduction state, tumor histology and ASA score. We compared the 3-year and total recurrence-free survival and overall survival through Kaplan-Meier survival curves and Cox proportional hazards.

RESULTS

Overall, 153 consecutive patients were included, of whom 32 (20.9%) had a BMI ≥ 35. and 121 a BMI < 35. The median follow-up time was 39 months (interquartile range 18-67). Both study groups were similar in multiple prognostic factors, including American Society of Anesthesiologists physical status, completion of cytoreduction, histology and stage of disease (p = 0.981, p = 0.992, p = 0.740 and p = 0.984, respectively). Ninety-five (62.1%) patients underwent robotic surgery and conversion rate from robotic to laparotomy was similar in both groups 2 (6.3%) in obese group vs. 6 (5.0%) in lower BMI patients, p = 0.673. During the follow-up time, the rate of recurrence was similar in both groups; 21 (65.6%) in obese group vs. 68 (57.1%), p = 0.387 and the rate of death events was similar; 16 (50.0%) in obese group vs. 49 (40.5%), p = 0.333). The 3-year OS was higher in the obese group (log rank p = 0.042) but the 3-year RFS was similar in both groups (log rank p = 0.556). Median total OS was similar in both groups 62 months (95% confidence interval 25-98 months) in obese vs. 67 months (95% confidence interval 15-118) in the lower BMI group, log rank p = 0.822. Median RFS was similar in both groups; 61 months (95% confidence interval 47-74) in obese, vs. 54 (95% confidence interval 43-64), log rank p = 0.842. In Cox regression analysis for OS, including obesity, age, laparotomy and neoadjuvant treatment - only neoadjuvant treatment was independently associated with longer OS: odds ratio 1.82 (95% confidence interval 1.09-3.05) and longer RFS: odds ratio 2.16 (95% confidence interval 1.37-3.41).

CONCLUSIONS

In the present study on consecutive cases of ovarian cancer, obesity did not seem to be associated with outcome, except for an apparent improved 3-year survival that faded away thereafter.

Comparing survival of older ovarian cancer patients treated with neoadjuvant chemotherapy versus primary cytoreductive surgery: Reducing bias through machine learning

OBJECTIVE

To develop and evaluate a multidimensional comorbidity index (MCI) that identifies ovarian cancer patients at risk of early mortality more accurately than the Charlson Comorbidity Index (CCI) for use in health services research.

METHODS

We utilized SEER-Medicare data to identify patients with stage IIIC and IV ovarian cancer, diagnosed in 2010-2015. We employed partial least squares regression, a supervised machine learning algorithm, to develop the MCI by extracting latent factors that optimally captured the variation in health insurance claims made in the year preceding cancer diagnosis, and 1-year mortality. We assessed the discrimination and calibration of the MCI for 1-year mortality and compared its performance to the commonly-used CCI. Finally, we evaluated the MCI's ability to reduce confounding in the association of neoadjuvant chemotherapy (NACT) and all-cause mortality.

RESULTS

We included 4723 patients in the development cohort and 933 in the validation cohort. The MCI demonstrated good discrimination for 1-year mortality (c-index: 0.75, 95% CI: 0.72-0.79), while the CCI had poor discrimination (c-index: 0.59, 95% CI: 0.56-0.63). Calibration plots showed better agreement between predicted and observed 1-year mortality risk for the MCI compared with CCI. When comparing all-cause mortality between NACT with primary cytoreductive surgery, NACT was associated with a higher hazard of death (HR: 1.13, 95% CI: 1.04-1.23) after controlling for tumor characteristics, demographic factors, and the CCI. However, when controlling for the MCI instead of the CCI, there was no longer a significant difference (HR: 1.05, 95% CI: 0.96-1.14).

CONCLUSIONS

The MCI outperformed the conventional CCI in predicting 1-year mortality, and reducing confounding due to differences in baseline health status in comparative effectiveness analysis of NACT versus primary surgery.

Homologous recombination proficient subtypes of high-grade serous ovarian cancer: treatment options for a poor prognosis group

Approximately 50% of tubo-ovarian high-grade serous carcinomas (HGSCs) have functional homologous recombination-mediated (HR) DNA repair, so-called HR-proficient tumors, which are often associated with primary platinum resistance (relapse within six months after completion of first-line therapy), minimal benefit from poly(ADP-ribose) polymerase (PARP) inhibitors, and shorter survival. HR-proficient tumors comprise multiple molecular subtypes including cases with CCNE1 amplification, AKT2 amplification or CDK12 alteration, and are often characterized as "cold" tumors with fewer infiltrating lymphocytes and decreased expression of PD-1/PD-L1. Several new treatment approaches aim to manipulate these negative prognostic features and render HR-proficient tumors more susceptible to treatment. Alterations in multiple different molecules and pathways in the DNA damage response are driving new drug development to target HR-proficient cancer cells, such as inhibitors of the CDK or P13K/AKT pathways, as well as ATR inhibitors. Treatment combinations with chemotherapy or PARP inhibitors and agents targeting DNA replication stress have shown promising preclinical and clinical results. New approaches in immunotherapy are also being explored, including vaccines or antibody drug conjugates. Many approaches are still in the early stages of development and further clinical trials will determine their clinical relevance. There is a need to include HR-proficient tumors in ovarian cancer trials and to analyze them in a more targeted manner to provide further evidence for their specific therapy, as this will be crucial in improving the overall prognosis of HGSC and ovarian cancer in general.

Prognostic impact of cytoreductive surgery conducted with primary intent, versus cytoreductive surgery after neoadjuvant chemotherapy, in the management of patients with advanced epithelial ovarian cancers: a multicentre, propensity score-matched study from the FRANCOGYN group

OBJECTIVE

To compare survival and morbidity rates between primary cytoreductive surgery (pCRS) and interval cytoreductive surgery (iCRS) for epithelial ovarian cancer (EOC), using a propensity score.

DESIGN

We conducted a propensity score-matched cohort study, using data from the FRANCOGYN cohort.

SETTING

Retrospective, multicentre study of data from patients followed in 15 French department specialized in the treatment of ovarian cancer.

SAMPLE

Patients included were those with International Federation of Gynaecology and Obstetrics (FIGO) stage III or IV EOC, with peritoneal carcinomatosis, having undergone CRS.

METHODS

The propensity score was designed using pre-therapeutic variables associated with both treatment allocation and overall survival (OS).

MAIN OUTCOME MEASURES

The primary outcome was OS. Secondary outcomes included recurrence-free survival (RFS), quality of CRS and other variables related to surgical morbidity.

RESULTS

A total of 513 patients were included. Among these, 334 could be matched, forming 167 pairs. No difference in OS was found (hazard ratio, HR = 0.8, p = 0.32). There was also no difference in RFS (median = 26 months in both groups) nor in the rate of CRS leaving no macroscopic residual disease (pCRS 85%, iCRS 81.4%, p = 0.76). The rates of gastrointestinal tract resections, stoma, postoperative complications and hospital stay were significantly higher in the pCRS group.

CONCLUSIONS

Analysis of groups of patients made comparable by propensity score matching showed no difference in survival, but lower postoperative morbidity in patients treated with iCRS.

Minimally-Invasive Secondary Cytoreduction in Recurrent Ovarian Cancer

The role of secondary cytoreductive surgery (SCS) in the treatment of recurrent ovarian cancer (ROC) has been widely increased in recent years, especially in trying to improve the quality of life of these patients by utilising a minimally-invasive (MI) approach. However, surgery in previously-treated patients may be challenging, and patient selection and surgical planning are crucial. Unfortunately, at the moment, validated criteria to select patients for MI-SCS are not reported, and no predictors of its feasibility are currently available, probably due to the vast heterogeneity of recurrence patterns. The aim of this narrative review is to describe the role of secondary cytoreductive surgery and, in particular, minimally-invasive procedures, in ROC, analyzing patient selection, outcomes, criticisms, and future perspectives.

Leave it in the past - primary treatment modality for high-grade epithelial ovarian cancer is not associated with secondary cytoreduction outcomes: A Memorial Sloan Kettering Cancer Center Team Ovary study

OBJECTIVES

To compare outcomes of patients with high-grade epithelial ovarian cancer (EOC) who underwent secondary cytoreduction surgery (SCS) after up-front treatment with neoadjuvant chemotherapy followed by interval debulking surgery (NACT-IDS) versus primary debulking surgery (PDS).

METHODS

Patients with high-grade EOC who underwent SCS from 2/1/2004-10/31/2021 were classified by up-front treatment. Clinical and treatment characteristics were compared between cohorts. Progression-free survival (PFS2) and overall survival (OS2) following SCS were compared using a Cox model adjusted for stage, age at SCS, and number of years between end of chemotherapy and SCS.

RESULTS

Of 374 patients, 62 (17%) underwent NACT-IDS and 312 (83%) PDS. Justification for NACT was disease extent (n = 57, 92%), comorbidities (n = 3, 5%), and thromboembolism (n = 2, 3%). The NACT-IDS cohort had a higher median age at SCS (64 years [IQR: 56-70] vs 59 years [IQR: 53-66]; P = .03), higher proportion of stage III/IV disease (100% vs 81%; P < .001), and shorter median interval between end of chemotherapy and SCS (1.5 years [IQR: 1.1-2.3] vs 1.9 years [IQR: 1.3-3.1]; P = .01). Achievement of complete gross resection at SCS did not differ between NACT-IDS and PDS (84% vs 88%; P = .18). PFS2 (HR: 1.19, 95% CI: 0.83-1.71) and OS2 (HR: 0.96, 95% CI: 0.57-1.63) did not vary by primary treatment modality after adjusting for clinically relevant covariates.

CONCLUSIONS

Despite more extensive disease at presentation, patients with high-grade EOC who recur after NACT-IDS seem to have similar surgical and survival outcomes after SCS compared to patients who recur after PDS, suggesting that prior NACT-IDS should not preclude SCS.

Trends in the use of neoadjuvant chemotherapy for low-grade serous ovarian cancer in the United States

OBJECTIVE

To describe trends in neoadjuvant chemotherapy (NACT) use for low-grade serous ovarian carcinoma (LGSOC) and to quantify associations between NACT and extent of cytoreductive surgery.

METHODS

We identified women treated for stage III or IV serous ovarian cancer in a Commission on Cancer accredited program between January 2004-December 2020. Regression models were developed to evaluate trends in NACT use for LGSOC, to identify factors associated with receipt of NACT, and to quantify associations between NACT and bowel or urinary resection at the time of surgery. Demographic and clinical factors were used for confounder control.

RESULTS

We observed 3350 patients who received treatment for LGSOC during the study period. The proportion of patients who received NACT increased from 9.5% in 2004 to 25.9% in 2020, corresponding to an annual percent change of 7.2% (95% CI 5.6-8.9). Increasing age (rate ratio (RR) 1.15; 95% CI 1.07-1.24), and stage IV disease (RR 2.66; 95% CI 2.31-3.07) were associated with a higher likelihood of receiving NACT. For patients with high-grade disease, NACT was associated with a decrease in likelihood of bowel or urinary surgery (35.3% versus 23.9%; RR 0.68, 95% CI 0.65-0.71). For LGSOC, NACT was associated with a higher likelihood of these procedures (26.6% versus 32.2%; RR 1.24, 95% CI 1.08-1.42).

CONCLUSION

NACT use among patients with LGSOC has increased from 2004 to 2020. While NACT was associated with a lower rate of gastrointestinal and urinary surgery among patients with high-grade disease, patients with LGSOC receiving NACT were more likely to undergo these procedures.

Optimal First-Line Medico-Surgical Strategy in Ovarian Cancers: Are We There Yet?

In spite of tremendous advances in advanced ovarian cancer management through the past decade, notably owing to surgical expertise and novel combination molecules (including bevacizumab and PARP inhibitors), the optimal initial sequential strategy remains a major concern. Indeed, following seminal clinical trials, primary cytoreductive surgery (PCS) followed by adjuvant systemic therapy and interval cytoreductive surgery (ICS) following neoadjuvant chemotherapy (NACT) have been positioned as validated alternatives with distinct pros and cons, although a definite response is still unassessed. In clinical practice, decisions between PCS and ICS rely on multilayer parameters: the tumor itself, the patient, and the health structure. In this state-of-the-art review, we will discuss the current evidence based on clinical trials and real-world data and highlight the remaining questions, including the fittest positioning of PCS vs. ICS and the optimal number of NACT cycles; subsequently, we will discuss current axes of research such as dedicated clinical trials and more global perspectives. These ongoing strategies and perspectives could contribute to improving the patient journey through personalized medicine.

A novel DNA methylation-related gene signature for the prediction of overall survival and immune characteristics of ovarian cancer patients

BACKGROUND

Ovarian cancer (OC) is one of the most life-threatening cancers affecting women worldwide. Recent studies have shown that the DNA methylation state can be used in the diagnosis, treatment and prognosis prediction of diseases. Meanwhile, it has been reported that the DNA methylation state can affect the function of immune cells. However, whether DNA methylation-related genes can be used for prognosis and immune response prediction in OC remains unclear.

METHODS

In this study, DNA methylation-related genes in OC were identified by an integrated analysis of DNA methylation and transcriptome data. Prognostic values of the DNA methylation-related genes were investigated through least absolute shrinkage and selection operator (LASSO) and Cox progression analyses. Immune characteristics were investigated by CIBERSORT, correlation analysis and weighted gene co-expression network analysis (WGCNA).

RESULTS

Twelve prognostic genes (CA2, CD3G, HABP2, KCTD14, PI3, SERPINB5, SLAMF7, SLC9A2, STC2, TBP, TREML2 and TRIM27) were identified and a risk score signature and a nomogram based on prognostic genes and clinicopathological features were constructed for the survival prediction of OC patients in the training and two validation cohorts. Subsequently, the differences in the immune landscape between the high- and low-risk score groups were systematically investigated.

CONCLUSIONS

Taken together, our study explored a novel efficient risk score signature and a nomogram for the survival prediction of OC patients. In addition, the differences of the immune characteristics between the two risk groups were clarified preliminarily, which will guide the further exploration of synergistic targets to improve the efficacy of immunotherapy in OC patients.

An EMT-based gene signature enhances the clinical understanding and prognostic prediction of patients with ovarian cancers

BACKGROUND

Ovarian cancer (OC) is one of the most common gynecological cancers with malignant metastasis and poor prognosis. Current evidence substantiates that epithelial-mesenchymal transition (EMT) is a critical mechanism that drives OC progression. In this study, we aspire to identify pivotal EMT-related genes (EMTG) in OC development, and establish an EMT gene-based model for prognosis prediction.

METHODS

We constructed the risk score model by screening EMT genes via univariate/LASSO/step multivariate Cox regressions in the OC cohort from TCGA database. The efficacy of the EMTG model was tested in external GEO cohort, and quantified by the nomogram. Moreover, the immune infiltration and chemotherapy sensitivity were analyzed in different risk score groups.

RESULTS

We established a 11-EMTGs risk score model to predict the prognosis of OC patients. Based on the model, OC patients were split into high- and low- risk score groups, and the high-risk score group had an inevitably poor survival. The predictive power of the model was verified by external OC cohort. The nomogram showed that the model was an independent factor for prognosis prediction. Moreover, immune infiltration analysis revealed the immunosuppressive microenvironment in the high-risk score group. Finally, the EMTG model can be used to predict the sensitivity to chemotherapy drugs.

CONCLUSIONS

This study demonstrated that EMTG model was a powerful tool for prognostic prediction of OC patients. Our work not only provide a novel insight into the etiology of OC tumorigenesis, but also can be used in the clinical decisions on OC treatment.

Role of minimally invasive secondary cytoreduction in patients with recurrent ovarian cancer

OBJECTIVE

Retrospective series have shown minimally invasive secondary cytoreductive surgery is a feasible approach in selected cases of recurrent ovarian cancer. However, no predictors of minimally invasive secondary cytoreductive surgery feasibility are currently available. This study aims to identify predictive factors of minimally invasive secondary cytoreductive surgery feasibility and to compare perioperative and survival outcomes in a matched series of recurrent ovarian cancer patients who underwent secondary cytoreduction via an open or minimally invasive surgical approach.

METHODS

We retrospectively identified all platinum-sensitive recurrent epithelial ovarian cancer patients who underwent minimally invasive or laparotomic secondary cytoreductive surgery between January 2013 and July 2020. Each patient underwent a preoperative positron emission tomography (PET) computerized tomography (CT) scan and diagnostic laparoscopy before secondary cytoreductive surgery. A 1:2 propensity score-matched analysis was performed to balance predictive factors of minimally invasive secondary cytoreductive surgery.

RESULTS

Overall, 276 patients were identified (62 minimally invasive and 214 open), and a complete gross resection was achieved in 262 (94.9%) patients. At multivariate analysis, predictive factors for minimally invasive secondary cytoreductive surgery were neoadjuvant chemotherapy at first diagnosis (p=0.007), site of recurrence (p=0.031), and number of lesions (p=0.001). In the 1:2 propensity-matched population (39 minimally invasive and 78 open), complete gross resection was similar for both groups (p=0.082). Early post-operative complications were significantly higher in the laparotomy (33.3%) than in the minimally invasive surgery (10.3%) group (p=0.004). Only one (2.6%) patient experienced a grade >3 early post-operative complication in the minimally invasive surgery group compared with 13 (16.7%) patients in the open cohort (p<0.001). The median follow-up period was 32 months (range: 1-92) in the propensity-matched population. The median post-recurrence survival was 81 months in the minimally invasive surgery group and was not reached in the open group (p=0.11).

CONCLUSIONS

Patients with single or oligometastatic recurrences can be offered minimally invasive secondary cytoreductive surgery, mainly if localized in the lymph-nodes, and/or if they received neoadjuvant chemotherapy at primary diagnosis. Minimally invasive secondary cytoreductive surgery is associated with favorable perioperative outcomes with no differences in terms of post-recurrence survival with respect to open approach.

Facility level variation in the utilization of neoadjuvant chemotherapy is associated with higher surgical morbidity for patients with advanced stage epithelial ovarian carcinoma

OBJECTIVE

Investigate outcomes for advanced stage epithelial ovarian cancer (EOC) patients based on facility-level utilization of neoadjuvant chemotherapy (NACT).

METHODS

Stage III-IV EOC patients diagnosed between 2010 and 2016 were identified in the National Cancer Database. Percentage of patients managed with NACT was calculated for facilities, reporting ≥120 patients. Facilities with lowest and highest quartile of NACT rate comprised the low and high-utilizing groups. Clinico-pathological characteristics were collected, and appropriate statistical analysis performed.

RESULTS

High- and low-utilizing facilities managed on average 54.1% and 25.4% of patients with NACT respectively. Patients managed at high-utilizing facilities were significantly more likely to be >65 (p = 0.029), have stage IV disease (p < 0.001) and comorbidities (p < 0.001). Patients managed with primary debulking surgery (PDS) at low-utilizing facilities were significantly more likely to be >65, have stage IV disease, and have comorbidities (all, p < 0.001). Patients undergoing PDS at low-utilizing facilities were significantly less likely to achieve complete gross resection (p < 0.001), and were significantly more likely to experience 90-day mortality (p < 0.001), and unplanned 30-day readmission (p < 0.001). After controlling for age, comorbidities, race, insurance status, stage, grade and histology, high-utilizing facilities trended towards better overall survival (OS) (HR: 0.92, 95% CI: 0.85-0.99). Overall, patients undergoing PDS had better OS compared to those who had NACT (median 42 vs 27 months, p < 0.001).

CONCLUSIONS

Despite treating an EOC population with more advanced disease and comorbidities, high-utilizing facilities have lower surgical morbidity and mortality with no detrimental impact on long-term survival. Careful patient selection to minimize the morbidity and mortality associated with PDS is pivotal.

Application of machine learning techniques for predicting survival in ovarian cancer

BACKGROUND

Ovarian cancer is the fifth leading cause of mortality among women in the United States. Ovarian cancer is also known as forgotten cancer or silent disease. The survival of ovarian cancer patients depends on several factors, including the treatment process and the prognosis.

METHODS

The ovarian cancer patients' dataset is compiled from the Surveillance, Epidemiology, and End Results (SEER) database. With the help of a clinician, the dataset is curated, and the most relevant features are selected. Pearson's second coefficient of skewness test is used to evaluate the skewness of the dataset. Pearson correlation coefficient is also used to investigate the associations between features. Statistical test is utilized to evaluate the significance of the features. Six Machine Learning (ML) models, including K-Nearest Neighbors , Support Vector Machine (SVM), Decision Tree (DT), Random Forest (RF), Adaptive Boosting (AdaBoost), and Extreme Gradient Boosting (XGBoost), are implemented for survival prediction in both classification and regression approaches. An interpretable method, Shapley Additive Explanations (SHAP), is applied to clarify the decision-making process and determine the importance of each feature in prediction. Additionally, DTs of the RF model are displayed to show how the model predicts the survival intervals.

RESULTS

Our results show that RF (Accuracy = 88.72%, AUC = 82.38%) and XGBoost (Root Mean Squad Error (RMSE)) = 20.61%, R² = 0.4667) have the best performance for classification and regression approaches, respectively. Furthermore, using the SHAP method along with extracted DTs of the RF model, the most important features in the dataset are identified. Histologic type ICD-O-3, chemotherapy recode, year of diagnosis, age at diagnosis, tumor stage, and grade are the most important determinant factors in survival prediction.

CONCLUSION

To the best of our knowledge, our study is the first study that develops various ML models to predict ovarian cancer patients' survival on the SEER database in both classification and regression approaches. These ML algorithms also achieve more accurate results and outperform statistical methods. Furthermore, our study is the first study to use the SHAP method to increase confidence and transparency of the proposed models' prediction for clinicians. Moreover, our developed models, as an automated auxiliary tool, can help clinicians to have a better understanding of the estimated survival as well as important features that affect survival.

Primary or Interval Debulking Surgery in Advanced Ovarian Cancer: a Personalized Decision-a Literature Review

PURPOSE OF REVIEW

Summarize the writings published in the last 5 years on the management of surgery in the first line of treatment for advanced ovarian cancer.

RECENT FINDINGS

For patients with a significant tumor burden, the neoadjuvant chemotherapy therapy (NACT) with interval debulking surgery (IDS) strategy shows comparable efficacy than primary debulking surgery (PDS) in terms of survival in randomized studies with less morbidity. Advanced epithelial ovarian cancer generates more than half cases a recurrence. First-line treatment is based on a chemotherapy regimen combining a platinum-based and a taxane-based, associated with surgery. This review considers papers of last 5 years of timing, thinking tools, and innovation in the management. The choice of strategy, PDS or IDS, would be a personalized recommendation. The challenge is to adapt the timing of the surgery to the patient's characteristics and that of her disease.

Identification of the immune subtype of ovarian cancer patients by integrated analyses of transcriptome and single-cell sequencing data

Ovarian cancer (OC) is one the most life-threatening cancers affecting women's health worldwide. Immunotherapy has become a promising treatment for a variety of cancers, but the therapeutic effects in OC remain limited. In this study, we constructed a macrophage risk score (MRS) based on M1 and M2 macrophages and a gene risk score (GRS) based on the prognostic genes associated with MRS. Next, cell-cell communication analysis was performed using single-cell RNA (scRNA) sequencing data. Survival status and immune characteristics were compared between the high- and low-score groups separated by MRS or GRS. Our results suggested that MRS and GRS can identify the immune subtypes of OC patients with better overall survival (OS) and inflammatory immune microenvironment. Moreover, M1 and M2 macrophages may affect the prognosis of OC patients through signal communication with CD8 T cells. Finally, functional differences between the two groups separated by GRS were elucidated. Taken together, this study constructed two useful models for the identification of immune subtypes in OC, which has a better prognosis and may have a sensitive response to immune checkpoint inhibitors (ICIs). The hub genes for the construction of GRS may be potential synergetic targets for immunotherapy in OC patients.

miR-600 promotes ovarian cancer cells stemness, proliferation and metastasis via targeting KLF9

Previous studies have revealed that miRNAs participate in the pathogenesis of ovarian cancer; however, whether miR-600 is also involved remains unclear. In this study, we aimed to investigated the role of miR-600 in ovarian cancer progression. Here, miR-600 expression was significantly upregulated in ovarian cancer tissues and stem cells. Functional studies showed that miR-600 promoted ovarian cancer cell stemness, proliferation and metastasis. Mechanistic studies revealed that Kruppel like factor 9 (KLF9) was indicated as the target of miR-600. The luciferase reporter assay suggested that miR-600 directly bound to the 3'-untranslated region of KLF9. Additionally, miR-600 expression was negatively associated with KLF9 expression in human ovarian cancer tissues. Si-KLF9 partially abolished the discrepancy of self-renewal, growth and metastasis capacity between miR-600 knockdown ovarian cancer cells and control cells. In conclusion, our results suggest that miR-600 promotes ovarian cancer cell stemness, proliferation and metastasis via directly downregulating KLF9, and impairing miR-600 levels may be a new treatment strategy for ovarian cancer in the future.

LINC00339: An emerging major player in cancer and metabolic diseases

Long noncoding RNAs (lncRNAs) are a series of RNA molecules without ability to code proteins. LncRNAs have emerged as significant players in almost all aspects of gene function and regulation and play crucial roles in many human diseases. Particular lncRNAs are deemed to be promising molecular biomarkers used for diagnosing diseases and determining patient prognoses and treatment efficacies. LINC00339 is a new budding lncRNA and much of evidence shows that it is abnormally expressed in multifarious diseases, including endometriosis, cardiomyocyte apoptosis, osteoporosis, digestive-system tumors, respiratory-system tumors, nervous-system tumors, and diseases involving other systems. Additionally, LINC00339 is remarkably associated with different clinical features, such as tumor size, TNM stage, and pathological grade. LINC00339 expression has been proved to upregulate in the aforementioned diseases and has been identified to promote disease occurrence and development. It is also reported that LINC00339 is associated with various cellular events, such as tumor cell proliferation, motility and invasiveness, the expression has also been proved that it is closely related to clinical symptoms in cancer patients. This review summarizes the relationships among expression levels, biological features, clinical symptoms, and regulatory mechanisms of LINC00339 in several diseases and discusses the clinical applications of LINC00339 as a cancer diagnostic, prognostic and treatment efficacy biomarker.

Surgery in Advanced Ovary Cancer: Primary versus Interval Cytoreduction

Primary debulking surgery (PDS) has remained the only treatment of ovarian cancer with survival advantage since its development in the 1970s. However, survival advantage is only observed in patients who are optimally resected. Neoadjuvant chemotherapy (NACT) has emerged as an alternative for patients in whom optimal resection is unlikely and/or patients with comorbidities at high risk for perioperative complications. The purpose of this review is to summarize the evidence to date for PDS and NACT in the treatment of stage III/IV ovarian carcinoma. We systematically searched the PubMed database for relevant articles. Prior to 2010, NACT was reserved for non-surgical candidates. After publication of EORTC 55971, the first randomized trial demonstrating non-inferiority of NACT followed by interval debulking surgery, NACT was considered in a wider breadth of patients. Since EORTC 55971, 3 randomized trials-CHORUS, JCOG0602, and SCORPION-have studied NACT versus PDS. While CHORUS supported EORTC 55971, JCOG0602 failed to demonstrate non-inferiority and SCORPION failed to demonstrate superiority of NACT. Despite conflicting data, a subset of patients would benefit from NACT while preserving survival including poor surgical candidates and inoperable disease. Further randomized trials are needed to assess the role of NACT.

Establish of an Initial Platinum-Resistance Predictor in High-Grade Serous Ovarian Cancer Patients Regardless of Homologous Recombination Deficiency Status

Backgrounds

Ovarian cancer (OC) is still the leading aggressive and lethal disease of gynecological cancers, and platinum-based regimes are the standard treatments. However, nearly 20%–30% of patients with OC are initial platinum resistant (IPR), and there is a lack of valid tools to predict whether they will be primary platinum resistant or not prior to chemotherapy.

Methods

Transcriptome data from The Cancer Genome Atlas (TCGA) was downloaded as the training data, and transcriptome data of GSE15622, GSE102073, GSE19829, and GSE26712 were retrieved from Gene Expression Omnibus (GEO) as the validation cohorts. Differentially expressed genes (DEGs) were selected between platinum-sensitive and platinum-resistant patients from the training cohort, and multiple machine-learning algorithms [including random forest, XGboost, and least absolute shrinkage and selection operator (LASSO) regression] were utilized to determine the candidate genes from DEGs. Then, we applied logistic regression to establish the IPR signature based on the expression. Finally, comprehensive clinical, genomic, and survival feature were analyzed to understand the application value of the established IPR signature.

Results

A total of 532 DEGs were identified between platinum-resistant and platinum-sensitive samples, and 11 of them were shared by these three-machine learning algorithms and utilized to construct an IPR prediction signature. The area under receiver operating characteristic curve (AUC) was 0.841 and 0.796 in the training and validation cohorts, respectively. Notably, the prediction capacity of this signature was stable and robust regardless of the patients’ homologous recombination deficiency (HRD) and mutation burden status. Meanwhile, the genomic feature was concordant between samples with high- or low-IPR signature, except a significantly higher prevalence of gain at Chr19q.12 (regions including CCNE1) in the high-IPR signature samples. The efficacy of prediction of platinum resistance of IPR signature successfully transferred to the precise survival prediction, with the AUC of 0.71, 0.72, and 0.66 to predict 1-, 3-, and 5-year survival, respectively. At last, we found a significantly different tumor-infiltrated lymphocytes feature, including lower abundance of CD4+ naive T cells in the samples with high-IPR signature. A relatively lower tumor immune dysfunction and exclusion (TIDE) value and more sensitivity to multiple therapies including Gefitinib may suggest the potency to transfer from platinum-based therapy to immunotherapy or target therapies in patients with high-IPR signature.

Conclusion

Our study established an IPR signature based on the expression of 11 genes that could stably and robustly distinguish OC patients with IPR and/or poor outcomes, which may guide therapeutic regimes tailoring.