Use of common analgesic medications and ovarian cancer survival: results from a pooled analysis in the Ovarian Cancer Association Consortium

Low-dose aspirin and non-aspirin non-steroidal anti-inflammatory drugs and epithelial ovarian cancer survival: a registry-based cohort study in Norway

BACKGROUND

Aspirin and non-aspirin non-steroidal anti-inflammatory drugs (NA-NSAID) have been associated with improved survival in individuals with epithelial ovarian cancer (EOC); however, findings to date are inconsistent.

METHODS

We conducted a registry-based cohort study evaluating survival following an incident invasive EOC diagnosis including individuals diagnosed between 2004-2018 (n = 4325; n = 2206 deaths; n = 1973 EOC deaths). Evaluated exposures were low-dose aspirin and NA-NSAIDs. Two primary post-diagnosis exposure windows were evaluated: fixed post-diagnostic baseline exposure ≤ 305 days after diagnosis (use, non-use) and updated "time-varying" exposure (never, past, current use; cumulative defined daily dose (DDD)). Pre-diagnostic exposure (use, non-use) was further evaluated. Multivariable Cox-proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals [95% CIs]. The primary outcome was cause-specific survival. Restricted mean survival time (RMST) in exposure groups was estimated at 5 years following start of follow-up.

RESULTS

Baseline post-diagnosis aspirin use was not associated with survival following an EOC diagnosis (e.g., use vs. no use: aspirin, HR = 1.02 [95% CI = 0.84-1.24]). Inverse associations were observed between current aspirin use post-diagnosis and survival in the time-varying exposure models (HR 0.68 [0.57-0.81]), and with higher post-diagnosis cumulative DDD of aspirin. Findings for NA-NSAIDs were less consistent. No associations were observed for pre-diagnostic use. Results for overall survival were similar to those for cause-specific survival. Compared to never use, post-diagnosis low-dose aspirin use was associated with a longer RMST (e.g., ever vs. never use, difference in RMST = 2.67 months).

CONCLUSIONS

This study provides further evidence of a potential beneficial effect of post-diagnosis low-dose aspirin use for ovarian cancer survival.

Anesthetic Techniques and Cancer Outcomes: What Is the Current Evidence?

It is almost 2 decades since it was first hypothesized that anesthesia technique might modulate cancer biology and thus potentially influence patients' long-term outcomes after cancer surgery. Since then, research efforts have been directed towards elucidating the potential pharmacological and physiological basis for the effects of anesthetic and perioperative interventions on cancer cell biology. In this review, we summarize current laboratory and clinical data. Taken together, preclinical studies suggest some biologic plausibility that cancer cell function could be influenced. However, available clinical evidence suggests a neutral effect. Observational studies examining cancer outcomes after surgery of curative intent for many cancer types under a variety of anesthetic techniques have reported conflicting results, but warranting prospective randomized clinical trials (RCTs). Given the large patient numbers and long follow-up times required for adequate power, relatively few such RCTs have been completed to date. With the sole exception of peritumoral lidocaine infiltration in breast cancer surgery, these RCTs have indicated a neutral effect of anesthetic technique on long-term oncologic outcomes. Therefore, unless there are significant new findings from a few ongoing trials, future investigation of how perioperative agents interact with tumor genes that influence metastatic potential may be justified. In addition, building multidisciplinary collaboration to optimize perioperative care of cancer patients will be important.

Drug Repositioning for Ovarian Cancer Treatment: An Update

Ovarian cancer (OC) is one of the most prevalent malignancies in female reproductive organs, and its 5-year survival is below 45%. Despite the advances in surgical and chemotherapeutic options, OC treatment is still a challenge, and new anticancer agents are urgently needed. Drug repositioning has gained significant attention in drug discovery, representing a smart way to identify new clinical applications for drugs whose human safety and pharmacokinetics have already been established, with great time and cost savings in pharmaceutical development endeavors. This review offers an update on the most promising drugs repurposable for OC treatment and/or prevention.

Associations between prediagnostic aspirin use and ovarian tumor gene expression

BACKGROUND

Aspirin use has been associated with reduced ovarian cancer risk, yet the underlying biological mechanisms are not fully understood. To gain mechanistic insights, we assessed the association between prediagnosis low and regular-dose aspirin use and gene expression profiles in ovarian tumors.

METHODS

RNA sequencing was performed on high-grade serous, poorly differentiated, and high-grade endometrioid ovarian cancer tumors from the Nurses' Health Study (NHS), NHSII, and New England Case-Control Study (n = 92 cases for low, 153 cases for regular-dose aspirin). Linear regression identified differentially expressed genes associated with aspirin use, adjusted for birth decade and cohort. False discovery rates (FDR) were used to account for multiple testing and gene set enrichment analysis was used to identify biological pathways.

RESULTS

No individual genes were significantly differentially expressed in ovarian tumors in low or regular-dose aspirin users accounting for multiple comparisons. However, current versus never use of low-dose aspirin was associated with upregulation of immune pathways (e.g., allograft rejection, FDR = 5.8 × 10-10 ; interferon-gamma response, FDR = 2.0 × 10-4 ) and downregulation of estrogen response pathways (e.g., estrogen response late, FDR = 4.9 × 10-8 ). Ovarian tumors from current regular aspirin users versus never users were also associated with upregulation in interferon pathways (FDR <1.5 × 10-4 ) and downregulation of multiple extracellular matrix (ECM) architecture pathways (e.g., ECM organization, 4.7 × 10-8 ).

CONCLUSION

Our results suggest low and regular-dose aspirin may impair ovarian tumorigenesis in part via enhancing adaptive immune response and decreasing metastatic potential supporting the likely differential effects on ovarian carcinogenesis and progression by dose of aspirin.

Predictors of residual disease after debulking surgery in advanced stage ovarian cancer

Objective

Optimal debulking with no macroscopic residual disease strongly predicts ovarian cancer survival. The ability to predict likelihood of optimal debulking, which may be partially dependent on tumor biology, could inform clinical decision-making regarding use of neoadjuvant chemotherapy. Thus, we developed a prediction model including epidemiological factors and tumor markers of residual disease after primary debulking surgery.

Methods

Univariate analyses examined associations of 11 pre-diagnosis epidemiologic factors (n=593) and 24 tumor markers (n=204) with debulking status among incident, high-stage, epithelial ovarian cancer cases from the Nurses' Health Studies and New England Case Control study. We used Bayesian model averaging (BMA) to develop prediction models of optimal debulking with 5x5-fold cross-validation and calculated the area under the curve (AUC).

Results

Current aspirin use was associated with lower odds of optimal debulking compared to never use (OR=0.52, 95%CI=0.31-0.86) and two tissue markers, ADRB2 (OR=2.21, 95%CI=1.23-4.41) and FAP (OR=1.91, 95%CI=1.24-3.05) were associated with increased odds of optimal debulking. The BMA selected aspirin, parity, and menopausal status as the epidemiologic/clinical predictors with the posterior effect probability ≥20%. While the prediction model with epidemiologic/clinical predictors had low performance (average AUC=0.49), the model adding tissue biomarkers showed improved, but weak, performance (average AUC=0.62).

Conclusions

Addition of ovarian tumor tissue markers to our multivariable prediction models based on epidemiologic/clinical data slightly improved the model performance, suggesting debulking status may be in part driven by tumor characteristics. Larger studies are warranted to identify those at high risk of poor surgical outcomes informing personalized treatment.

Aspirin and cancer survival: a systematic review and meta-analyses of 118 observational studies of aspirin and 18 cancers

BACKGROUND

Despite the accumulation of research papers on aspirin and cancer, there is doubt as to whether or not aspirin is an acceptable and effective adjunct treatment of cancer. The results of several randomised trials are awaited, and these should give clear evidence on three common cancers: colon, breast and prostate. The biological effects of aspirin appear likely however to be of relevance to cancer generally, and to metastatic spread, rather than just to one or a few cancers, and there is already a lot of evidence, mainly from observational studies, on the association between aspirin and survival in a wide range of cancers.

AIMS

In order to test the hypothesis that aspirin taking is associated with an increase in the survival of patients with cancer, we conducted a series of systematic literature searches to identify clinical studies of patients with cancer, some of whom took aspirin after having received a diagnosis of cancer.

RESULTS

Three literature searches identified 118 published observational studies in patients with 18 different cancers. Eighty-one studies report on aspirin and cancer mortality and 63 studies report on all-cause mortality. Within a total of about a quarter of a million patients with cancer who reported taking aspirin, representing 20%-25% of the total cohort, we found aspirin to be associated with a reduction of about 20% in cancer deaths (pooled hazard ratio (HR): 0.79; 95% confidence intervals: 0.73, 0.84 in 70 reports and a pooled odds ratio (OR): 0.67; 0.45, 1.00 in 11 reports) with similar reductions in all-cause mortality (HR: 0.80; 0.74, 0.86 in 56 studies and OR: 0.57; 0.36, 0.89 in seven studies). The relative safety of aspirin taking was examined in the studies and the corresponding author of every paper was written to asking for additional information on bleeding. As expected, the frequency of bleeding increased in the patients taking aspirin, but fatal bleeding was rare and no author reported a significant excess in fatal bleeds associated with aspirin. No author mentioned cerebral bleeding in the patients they had followed.

CONCLUSIONS

There is a considerable body of evidence suggestive of about a 20% reduction in mortality in patients with cancer who take aspirin, and the benefit appears not to be restricted to one or a few cancers. Aspirin, therefore, appears to deserve serious consideration as an adjuvant treatment of cancer, and patients with cancer, and their carers, have a right to be informed of the available evidence.

Prospective Analyses of Lifestyle Factors Related to Energy Balance and Ovarian Cancer Risk by Infiltration of Tumor-Associated Macrophages

BACKGROUND

Lifestyle factors related to energy balance have been associated with ovarian cancer risk and influence the tumor immune microenvironment, including tumor-associated macrophages (TAM). However, no studies have assessed whether these factors differentially impact ovarian cancer risk by TAM densities.

METHODS

We conducted a prospective analysis in the Nurses' Health Studies to examine the associations of physical activity, sitting time, and a food-based empirical dietary inflammatory pattern (EDIP) score with invasive epithelial ovarian cancer risk by TAM density assessed by immunohistochemistry. We considered density of CD68 (marker of total TAMs) and CD163 (marker of pro-carcinogenic M2-type TAMs), and their ratios. We used multivariable Cox proportional hazards regression to calculate hazard ratios (HR) and 95% confidence intervals (CI) of exposures with risk of ovarian tumors with high versus low TAMs, including analyses stratified by body mass index.

RESULTS

Analyses included 312 incident ovarian cancer cases with TAM measurements. Physical activity, sitting time, and EDIP score were not differentially associated with ovarian cancer risk by TAM densities (P heterogeneity > 0.05). Among overweight and obese women, higher EDIP score was associated with increased risk of CD163 low-density tumors (HR comparing extreme tertiles, 1.57; 95% CI, 0.88-2.80; P trend = 0.01), but not CD163 high-density tumors (comparable HR, 1.16; 95% CI, 0.73-1.86; P trend = 0.24), though this difference was not statistically significant (P heterogeneity = 0.22).

CONCLUSIONS

We did not observe differential associations between lifestyle factors and ovarian cancer risk by TAM densities.

IMPACT

Future investigations examining the interplay between other ovarian cancer risk factors and the tumor immune microenvironment may help provide insight into ovarian cancer etiology.

Aspirin Use and Mortality in Women With Ovarian Cancer: A Meta-Analysis

Background

Aspirin use has been suggested to reduce the incidence of ovarian cancer (OC) in women. However, previous studies regarding the association between aspirin use and mortality in women with OC showed inconsistent results. We aimed to evaluate the association between aspirin use and mortality in women with OC in a meta-analysis.

Methods

Relevant cohort studies were obtained via search of PubMed, Cochrane’s Library, and Embase databases from inception to May 3, 2020. A random-effect model, which incorporates the potential heterogeneity among the included studies, was used to pool the results. Predefined stratified analyses were applied to evaluate the potential study characteristics on the outcome, including the timing of aspirin use, dose of aspirin, age of the women, and the clinical stages of the cancer. Sensitivity analysis by omitting one study at a time was used to assess the stability of the results.

Results

Six cohort studies including 17,981 women with OC were included. Pooled results showed that aspirin use had no statistically significant association with mortality in these patients (adjusted risk ratio [RR]: 0.85, 95% confidence interval [CI]: 0.70 to 1.02, p = 0.08; I² = 69%). The results were similar for OC-specific mortality (RR: 0.85, 95% CI: 0.57 to 1.26, p = 0.41) and all-cause mortality (RR: 0.78, 95% CI: 0.55 to 1.11, p = 0.17). Stratified analyses suggested that aspirin use had no statistically significant association with mortality risk in OC regardless the timing of aspirin use, dose of aspirin, age of the women, or the clinical stages of the cancer. Funnel plots suggested potential risk of publication bias (p all > 0.05). However, further “trim-and-fill” analysis incorporating hypothesized unpolished studies to achieve symmetrical funnel plots showed similar results of the meta-analysis (RR: 0.91, 95% CI: 0.74 to 1.13, p = 0.39).

Conclusions

Current evidence from observational studies indicated that aspirin use had no statistically significant association with mortality in women with OC.

Dual Actions of Ketorolac in Metastatic Ovarian Cancer

Cytoreductive surgery and chemotherapy are cornerstones of ovarian cancer treatment, yet disease recurrence remains a significant clinical issue. Surgery can release cancer cells into the circulation, suppress anti-tumor immunity, and induce inflammatory responses that support the growth of residual disease. Intervention within the peri-operative window is an under-explored opportunity to mitigate these consequences of surgery and influence the course of metastatic disease to improve patient outcomes. One drug associated with improved survival in cancer patients is ketorolac. Ketorolac is a chiral molecule administered as a 1:1 racemic mixture of the S- and R-enantiomers. The S-enantiomer is considered the active component for its FDA indication in pain management with selective activity against cyclooxygenase (COX) enzymes. The R-enantiomer has a previously unrecognized activity as an inhibitor of Rac1 (Ras-related C3 botulinum toxin substrate) and Cdc42 (cell division control protein 42) GTPases. Therefore, ketorolac differs from other non-steroidal anti-inflammatory drugs (NSAIDs) by functioning as two distinct pharmacologic entities due to the independent actions of each enantiomer. In this review, we summarize evidence supporting the benefits of ketorolac administration for ovarian cancer patients. We also discuss how simultaneous inhibition of these two distinct classes of targets, COX enzymes and Rac1/Cdc42, by S-ketorolac and R-ketorolac respectively, could each contribute to anti-cancer activity.

Combined treatment with modulated electro-hyperthermia and an autophagy inhibitor effectively inhibit ovarian and cervical cancer growth

PURPOSE

Modulated electro-hyperthermia (mEHT), known as oncothermia, is an anticancer therapy that induces radiofrequency thermal damage to the cancer tissues. This study aimed to evaluate the potential effectiveness of mEHT as a therapeutic tool in ovarian and cervical cancer.

MATERIALS AND METHODS

We used both tumor-bearing mice and ovarian and cervical OVCAR-3, SK-OV-3, HeLa and SNU-17 cancer cell lines to investigate the effects of mEHT in vivo and in vitro, respectively, and determine whether it was enhanced by cotreatment with an autophagy inhibitor.

RESULTS

We discovered that phosphorylation of p38, a stress-dependent kinase, was induced at the Thr180/Tyr182 residue in cancer cells exposed to mEHT. Apoptotic markers such as cleaved caspase-3 and poly-ADP ribose polymerase (PARP) were increased in OVCAR-3 and SNU-17 cells. Fluorescence-activated cell sorting (FACS) analysis showed a significant increase in the population of sub-G1 mEHT-exposed cells, which are dying and apoptotic cells. mEHT also reduced both weight and volume of xenograft tumors in mice transplanted with ovarian and cervical cancer cells and patient-derived cancer tissues. We determined that mEHT-induced cellular damage recovery was mediated by autophagy and, therefore, expectedly, cotreatment with mEHT and 3-methyladenine (3-MA), an autophagy inhibitor, more effectively inhibited cancer cell growth than individual treatment did.

CONCLUSIONS

mEHT treatment alone was sufficient to inhibit cancer growth, while a combined treatment with mEHT and an autophagy inhibitor amplified this inhibition effect.

Establishment of five immortalized human ovarian surface epithelial cell lines via SV40 T antigen or HPV E6/E7 expression

Background

Human ovarian surface epithelial (HOSE) cells are a critical cell source for ovarian cancer research; however, they are difficult to obtain and maintain under standard laboratory conditions in large quantities. The aim of this study was to generate immortalized HOSE (IHOSE) cells with maintained properties to the original cell source, thereby guaranteeing a sufficiently large cell quantity for ovarian cancer research.

Methods

HOSE cells isolated from four non-cancer patients and five IHOSE cell lines were established by induction of HPV-E6/E7 expression or SV40 large T antigen using a lenti-viral system. Each of IHOSE cells was confirmed to be distinct by STR profiling. RNA-sequencing was used to compare gene expression profiles in HOSE, IHOSE and ovarian cancer cells.

Results

RNA-sequencing results revealed a stronger linear correlation in gene expression between IHOSE and HOSE cells (R² = 0.9288) than between IHOSE or HOSE cells and ovarian cancer cells (R² = 0.8562 and R² = 0.7982, respectively). The gene expression pattern of 319 differentially expressed genes revealed minimal differences between HOSE and IHOSE cells, while a strong difference between ovarian cancer cells and HOSE or IHOSE cells was observed. Furthermore, the five IHOSE cell lines displayed morphological characteristics typical of epithelial cells but showed a lower level of EpCAM, CD133 and E-cadherin, as cancer stem marker, than ovarian cancer cells. Moreover, unlike cancer cells, IHOSE cells could not form colonies in the anchorage-independent soft agar growth assay.

Conclusion

These findings demonstrate that five newly established IHOSE cell lines have characteristics of progenitor HOSE cells while exhibiting continuous growth, and thus, should be highly useful as control cells for ovarian cancer research.

Pre-diagnosis and post-diagnosis use of common analgesics and ovarian cancer prognosis (NHS/NHSII): a cohort study

BACKGROUND

Ovarian cancer is the fifth most common cause of cancer death among women in the USA. In this study, our objective was to determine whether modifiable exposures to common analgesics outside of standard treatment influence prognosis in patients with ovarian cancer.

METHODS

The Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) are ongoing prospective studies of 121 700 and 116 429 US nurses who have completed biennial questionnaires since 1976 and 1989, respectively. We retrieved information from medical records, death certificates, or linkage to a state or Surveillance, Epidemiology, and End Results (SEER) cancer registry on ovarian cancer cases. Eligible participants had confirmed invasive, stage I-III epithelial ovarian cancer, and had data available on analgesic use. The primary objective was to determine whether self-reported regular use (≥2 days per week) of aspirin, non-aspirin non-steroidal anti-inflammatory drugs (NSAIDs), or paracetamol before and after ovarian cancer diagnosis, was associated with ovarian cancer-specific survival. We used Cox proportional hazards regression to calculate hazard ratios (HRs) and 95% CIs for these associations, adjusting for age and year of diagnosis, disease stage, and histology.

FINDINGS

Between June 1, 1976, and May 31, 2012, for the NHS and between June 1, 1989, and May 31, 2013, for NHSII, 1789 participants of the NHS and NHSII studies were diagnosed with epithelial ovarian cancer and 1143 (64%) were eligible to be included in this study; 1031 (90%) of 1143 cases were included in the pre-diagnosis exposure analysis and 964 cases (84%) in the post-diagnosis exposure analysis. Compared with never-users, participants who reported recent (current use in the past 2 years) post-diagnosis use of aspirin (HR 0·68 [95% CI 0·52-0·89]) and non-aspirin NSAIDs (HR 0·67 [95% CI 0·51-0·87]) had an improved ovarian cancer-specific survival. Any type of analgesic use pre-diagnosis, and post-diagnosis use of paracetamol, were not positively associated with ovarian cancer-specific survival. In analyses of change in analgesic use from pre-diagnosis to post-diagnosis, those participants who became recent users of aspirin (HR 0·44 [95% CI 0·26-0·74]) or became recent users of non-aspirin NSAIDs (HR 0·46 [95% CI 0·29-0·73]) post-diagnosis had a lower risk of ovarian cancer-specific death than never-users.

INTERPRETATION

Recent use of aspirin or non-aspirin NSAIDs, defined as current use in the past 2 years, after diagnosis appears to improve ovarian cancer-specific survival. If these results are confirmed in further studies, further research should explore potential synergistic effects of anti-inflammatory medications used in combination with standard ovarian cancer therapies to improve the prognosis for patients diagnosed with ovarian cancer.

FUNDING

National Institutes of Health, National Cancer Institute, The Marsha Rivkin Center for Ovarian Cancer Research.

Non-aspirin NSAID use and ovarian cancer mortality

OBJECTIVE

Preclinical studies suggest that non-aspirin non-steroidal anti-inflammatory drugs (NSAIDs) may improve survival of ovarian cancer. We examined the association between non-aspirin NSAID use and ovarian cancer mortality.

METHODS

All women in Denmark with a first diagnosis of epithelial ovarian cancer between 2000 and 2012 were identified. We obtained information on drug use, mortality outcomes, and potential confounding factors from nationwide registries. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between postdiagnosis non-aspirin NSAID use (≥1 prescription) and ovarian cancer-specific or other-cause mortality compared with non-use (no prescriptions). The influence of competing risks was evaluated using the sub-distribution hazards model proposed by Fine and Gray.

RESULTS

Among 4117 patients, any postdiagnosis use of non-aspirin NSAIDs was not associated with either ovarian cancer (HR = 0.97, 95% CI = 0.87-1.08) or other-cause (HR = 0.99, 95% CI = 0.77-1.27) mortality, however, inverse associations for ovarian cancer mortality were observed with high cumulative (HR = 0.75, 95% CI = 0.60-0.94) or high-intensity (HR = 0.86, 95% CI = 0.72-1.03) postdiagnosis use of non-aspirin NSAIDs. The associations differed substantially with histological subtype of ovarian cancer, with only inverse associations observed for serous ovarian cancer (HR = 0.87, 95% CI = 0.77-0.99). Among a smaller number of patients with a non-serous tumor, postdiagnosis non-aspirin NSAID use was associated with increased ovarian cancer mortality.

CONCLUSIONS

Any postdiagnosis use of non-aspirin NSAIDs did not influence ovarian cancer mortality overall, however, more intensive use was associated with improved survival of serous ovarian cancer.

Aspirin use correlates with survival in women with clear cell ovarian cancer

Data from colon, breast and prostate cancers suggest that aspirin users have reduced mortality. While the direct mechanism remains uncertain, aspirin can suppress the COX-dependent and independent pathways involved in tumor progression. We hypothesized that aspirin users with clear cell ovarian cancer would have improved survival outcomes. We performed a retrospective review of patients with clear cell ovarian cancer diagnosed between 1995 and 2010, and followed outcomes through 2016. Patients underwent primary cytoreductive surgery followed by platinum-based chemotherapy. Aspirin use was defined by medication documentation in two records more than six months apart. Statistical tests included Fisher's exact, Kaplan-Meier and Cox regression analyses. Seventy-seven patients met inclusion criteria. Fifty-four patients (70%) had stage I-II disease. Thirteen patients (17%) used aspirin. Aspirin users had a statistically longer disease-free survival compared to non-users (HR 0.13, p = .018). While median disease-free survival was not reached for either group, 1 of 13 (8%) aspirin users recurred at 24 months, compared to 18 of 64 (28%) non-users. Aspirin users demonstrated longer overall survival (HR 0.13, p = .015). Median survival was not reached for aspirin users, compared to 166 months for non-users. Aspirin use retained significance (HR 0.13, p = .044) after controlling for age, stage and cytoreductive status. In this small cohort of women with clear cell ovarian cancer, aspirin use correlated with improved disease-free and overall survival, and retained independent significance as a positive prognostic factor. Further research is warranted to confirm these findings before considering aspirin as a therapeutic intervention.

Aspirin use and ovarian cancer mortality in a Danish nationwide cohort study

BACKGROUND

Increasing data suggest that aspirin use may improve cancer survival; however, the evidence is sparse for ovarian cancer.

METHODS

We examined the association between postdiagnosis use of low-dose aspirin and mortality in a nationwide cohort of women with epithelial ovarian cancer between 2000 and 2012. Information on filled prescriptions of low-dose aspirin, dates and causes of death, and potential confounding factors was obtained from nationwide Danish registries. We used Cox regression models to estimate hazard ratios (HRs) with 95% confidence intervals (CIs) for ovarian cancer-specific or other-cause mortality associated with low-dose aspirin use.

RESULTS

Among 4117 patients, postdiagnosis use of low-dose aspirin was associated with HRs of 1.02 (95% CI: 0.87-1.20) for ovarian cancer mortality and 1.06 (95% CI: 0.77-1.47) for other-cause mortality. Hazard ratios remained neutral according to patterns of low-dose aspirin use, including prediagnosis use or established mortality predictors.

CONCLUSIONS

Low-dose aspirin use did not reduce mortality among ovarian cancer patients.