COVID-19 outcomes of patients with gynecologic cancer in New York City: An updated analysis from the initial surge of the pandemic.

BACKGROUND: Despite significant increase in COVID-19 publications, characterization of COVID-19 infection in patients with gynecologic cancer remains limited. Here we present an update of COVID-19 outcomes among people with gynecologic cancer in New York City (NYC) during the initial surge of severe acute respiratory syndrome coronavirus 2 (coronavirus disease 2019 [COVID-19]). METHODS: Data were abstracted from gynecologic oncology patients with COVID-19 infection among 8 NYC area hospital systems between March and June 2020. Multivariable logistic regression was utilized to estimate associations between factors and COVID-19 related hospitalization and mortality. RESULTS: Of 193 patients with gynecologic cancer and COVID-19, the median age at diagnosis was 65.0 years (interquartile range (IQR), 53.0-73.0 years). One hundred six of the 193 patients (54.9%) required hospitalization; among the hospitalized patients, 13 (12.3%) required invasive mechanical ventilation, 39 (36.8%) required ICU admission. Half of the cohort (49.2%) had not received anti-cancer treatment prior to COVID-19 diagnosis. No patients requiring mechanical ventilation survived. Thirty-four of 193 (17.6%) patients died of COVID-19 complications. In multivariable analysis, hospitalization was associated with an age ≥ 65 years (odds ratio [OR] 2.12, 95% confidence interval [CI] 1.11, 4.07), Black race (OR 2.53, CI 1.24, 5.32), performance status ≥2 (OR 3.67, CI 1.25, 13.55) and ≥ 3 comorbidities (OR 2.00, CI 1.05, 3.84). Only former or current history of smoking (OR 2.75, CI 1.21, 6.22) was associated with death due to COVID-19 in multivariable analysis. Administration of cytotoxic chemotherapy within 90 days of COVID-19 diagnosis was not predictive of COVID-19 hospitalization (OR 0.83, CI 0.41, 1.68) or mortality (OR 1.56, CI 0.67, 3.53). CONCLUSIONS: The case fatality rate among patients with gynecologic malignancy with COVID-19 infection was 17.6%. Cancer-directed therapy was not associated with an increased risk of mortality related to COVID-19 infection.

Clinical outcomes in patients with COVID-19 and gynecologic cancer: A society of gynecologic oncology COVID-19 and gynecologic cancer registry study.

OBJECTIVES: Patients with gynecologic malignancies may have varied responses to COVID-19 infection. We aimed to describe clinical courses, treatment changes, and short-term clinical outcomes for gynecologic oncology patients with concurrent COVID-19 in the United States. METHODS: The Society of Gynecologic Oncology COVID-19 and Gynecologic Cancer Registry was created to capture clinical courses of gynecologic oncology patients with COVID-19. Logistic regression models were employed to evaluate factors for an association with hospitalization and death, respectively, within 30 days of COVID-19 diagnosis. RESULTS: Data were available for 348 patients across 7 institutions. At COVID-19 diagnosis, 125 patients (36%) had active malignancy. Delay (n = 88) or discontinuation (n = 10) of treatment due to COVID-19 infection occurred in 28% with those on chemotherapy (53/88) or recently receiving surgery (32/88) most frequently delayed. In addition to age, performance status, diabetes, and specific COVID symptoms, both non-White race (adjusted odds ratio (aOR) = 3.93, 95% CI 2.06-7.50) and active malignancy (aOR = 2.34, 95% CI 1.30-4.20) were associated with an increased odds of hospitalization. Eight percent of hospitalized patients (8/101) died of COVID-19 complications and 5% (17/348) of the entire cohort died within 30 days after diagnosis. CONCLUSIONS: Gynecologic oncology patients diagnosed with COVID-19 are at risk for hospitalization, delay of anti-cancer treatments, and death. One in 20 gynecologic oncology patients with COVID-19 died within 30 days after diagnosis. Racial disparities exist in patient hospitalizations for COVID-19, a surrogate of disease severity. Additional studies are needed to determine long-term outcomes and the impact of race.

Racial disparities in patients with coronavirus disease 2019 infection and gynecologic malignancy.

BACKGROUND: Mounting evidence suggests disproportionate coronavirus disease 2019 (COVID-19) hospitalizations and deaths because of racial disparities. The association of race in a cohort of gynecologic oncology patients with severe acute respiratory syndrome-coronavirus 2 infection is unknown. METHODS: Data were abstracted from gynecologic oncology patients with COVID-19 infection among 8 New York City area hospital systems. A multivariable mixed-effects logistic regression model accounting for county clustering was used to analyze COVID-19-related hospitalization and mortality. RESULTS: Of 193 patients who had gynecologic cancer and COVID-19, 67 (34.7%) were Black, and 126 (65.3%) were non-Black. Black patients were more likely to require hospitalization compared with non-Black patients (71.6% [48 of 67] vs 46.0% [58 of 126]; P = .001). Of 34 (17.6%) patients who died from COVID-19, 14 (41.2%) were Black. Among those who were hospitalized, compared with non-Black patients, Black patients were more likely to: have ≥3 comorbidities (81.1% [30 of 37] vs 59.2% [29 of 49]; P = .05), to reside in Brooklyn (81.0% [17 of 21] vs 44.4% [12 of 27]; P = .02), to live with family (69.4% [25 of 36] vs 41.6% [37 of 89]; P = .009), and to have public insurance (79.6% [39 of 49] vs 53.4% [39 of 73]; P = .006). In multivariable analysis, among patients aged <65 years, Black patients were more likely to require hospitalization compared with non-Black patients (odds ratio, 4.87; 95% CI, 1.82-12.99; P = .002). CONCLUSIONS: Although Black patients represented only one-third of patients with gynecologic cancer, they accounted for disproportionate rates of hospitalization (>45%) and death (>40%) because of COVID-19 infection; younger Black patients had a nearly 5-fold greater risk of hospitalization. Efforts to understand and improve these disparities in COVID-19 outcomes among Black patients are critical.

Pan-cancer clinical and molecular analysis of racial disparities.

BACKGROUND: Racial disparities in cancer outcomes are increasingly recognized, but comprehensive analyses, including molecular studies, are limited. The objective of the current study was to perform a pan-cancer clinical and epigenetic molecular analysis of outcomes in African American (AA) and European American (EA) patients. METHODS: Cross-platform analyses using cancer databases (the Surveillance, Epidemiology, and End Results program database and the National Cancer Data Base) and a molecular database (The Cancer Genome Ancestry Atlas) were performed to evaluate clinical and epigenetic molecular differences between AA and EA patients based on genetic ancestry. RESULTS: In the primary pan-cancer survival analysis using the Surveillance, Epidemiology, and End Results database (2,045,839 patients; 87.5% EA and 12.5% AA), AA patients had higher mortality rates for 28 of 42 cancer types analyzed (hazard ratio, >1.0). AAs continued to have higher mortality in 13 cancer types after adjustment for socioeconomic variables using the National Cancer Database (5,150,023 patients; 11.6% AA and 88.4% EA). Then, molecular features of 5,283 tumors were analyzed in patients who had genetic ancestry data available (87.2% EA and 12.8% AA). Genes were identified with altered DNA methylation along with increased microRNA expression levels unique to AA patients that are associated with cancer drug resistance. Increased miRNAs (miR-15a, miR-17, miR-130-3p, miR-181a) were noted in common among AAs with breast, kidney, thyroid, or prostate carcinomas. CONCLUSIONS: The current results identified epigenetic features in AA patients who have cancer that may contribute to higher mortality rates compared with EA patients who have cancer. Therefore, a focus on molecular signatures unique to AAs may identify actionable molecular abnormalities.

COVID-19 outcomes of patients with gynecologic cancer in New York City.

BACKGROUND: New York City (NYC) is the epicenter of severe acute respiratory syndrome coronavirus 2 (coronavirus disease 2019 [COVID-19]) in the United States. Clinical characteristics and outcomes of vulnerable populations, such as those with gynecologic cancer who develop COVID-19 infections, is limited. METHODS: Patients from 6 NYC-area hospital systems with known gynecologic cancer and a COVID-19 diagnosis were identified. Demographic and clinical outcome data were abstracted through a review of electronic medical records. RESULTS: Records for 121 patients with gynecologic cancer and COVID-19 were abstracted; the median age at the COVID-19 diagnosis was 64.0 years (interquartile range, 51.0-73.0 years). Sixty-six of the 121 patients (54.5%) required hospitalization; among the hospitalized patients, 45 (68.2%) required respiratory intervention, 20 (30.3%) were admitted to the intensive care unit, and 9 (13.6%) underwent invasive mechanical ventilation. Seventeen patients (14.0%) died of COVID-19 complications. No patient requiring mechanical ventilation survived. On multivariable analysis, hospitalization was associated with an age ≥64 years (risk ratio [RR], 1.73; 95% confidence interval [CI], 1.18-2.51), African American race (RR, 1.56; 95% CI, 1.13-2.15), and 3 or more comorbidities (RR, 1.43; 95% CI, 1.03-1.98). Only recent immunotherapy use (RR, 3.49; 95% CI, 1.08-11.27) was associated with death due to COVID-19 on multivariable analysis; chemotherapy treatment and recent major surgery were not predictive of COVID-19 severity or mortality. CONCLUSIONS: The case fatality rate among gynecologic oncology patients with a COVID-19 infection is 14.0%. Recent immunotherapy use is associated with an increased risk of mortality related to COVID-19 infection. LAY SUMMARY: The case fatality rate among gynecologic oncology patients with a coronavirus disease 2019 (COVID-19) infection is 14.0%; there is no association between cytotoxic chemotherapy and cancer-directed surgery and COVID-19 severity or death. As such, patients can be counseled regarding the safety of continued anticancer treatments during the pandemic. This is important because the ability to continue cancer therapies for cancer control and cure is critical.

Inflammatory markers in gynecologic oncology patients hospitalized with COVID-19 infection.

OBJECTIVE: Elevated inflammatory markers are predictive of COVID-19 infection severity and mortality. It is unclear if these markers are associated with severe infection in patients with cancer due to underlying tumor related inflammation. We sought to further understand the inflammatory response related to COVID-19 infection in patients with gynecologic cancer. METHODS: Patients with a history of gynecologic cancer hospitalized for COVID-19 infection with available laboratory data were identified. Admission laboratory values and clinical outcomes were abstracted from electronic medical records. Severe infection was defined as infection requiring ICU admission, mechanical ventilation, or resulting in death. RESULTS: 86 patients with gynecologic cancer were hospitalized with COVID-19 infection with a median age of 68.5 years (interquartile range (IQR), 59.0-74.8). Of the 86 patients, 29 (33.7%) patients required ICU admission and 25 (29.1%) patients died of COVID-19 complications. Fifty (58.1%) patients had active cancer and 36 (41.9%) were in remission. Patients with severe infection had significantly higher ferritin (median 1163.0 vs 624.0 ng/mL, p < 0.01), procalcitonin (median 0.8 vs 0.2 ng/mL, p < 0.01), and C-reactive protein (median 142.0 vs 62.3 mg/L, p = 0.02) levels compared to those with moderate infection. White blood cell count, lactate, and creatinine were also associated with severe infection. D-dimer levels were not significantly associated with severe infection (p = 0.20). CONCLUSIONS: The inflammatory markers ferritin, procalcitonin, and CRP were associated with COVID-19 severity in gynecologic cancer patients and may be used as prognostic markers at the time of admission.

When Ovarian Cancer Is Not: Characterizing Nonovarian Cancer Pathology in a Laparoscopy-Based Triage System.

OBJECTIVE: Establishing an accurate histologic diagnosis is essential for determining the appropriate course of therapy for ovarian cancer. This study sought to investigate and describe nonovarian cancer pathologies discovered during the systematic laparoscopic workup of presumed advanced ovarian cancer. METHODS: A retrospective cohort of patients with presumed advanced ovarian cancer (based on elevated CA125 and/or imaging) presenting to our center without confirmed pathologic diagnosis were identified and characterized. Patients without ovarian cancer on final pathology were described and compared with those with confirmed epithelial ovarian cancer using standard statistical methods. RESULTS: Nonovarian cancer was found in 26 (7.1%) of 365 cases over 3.5 years of study, and included benign ovarian pathology, and metastatic uterine, breast, and gastrointestinal cancers. Most nonovarian cancer cases could not be diagnosed with percutaneous biopsy, and instead used diagnostic laparoscopy or assessment at the time of laparotomy for diagnosis (58%). No patient received inappropriate treatment. Nonovarian cancer cases were more likely to be nonwhite (P = 0.003), have a better Eastern Cooperative Oncology Group performance status (P < 0.001), and have a lower CA125 value (P < 0.001), and were less likely to have pleural effusions (P = 0.04). CONCLUSIONS: A systematic laparoscopic triage approach to advanced-stage ovarian cancer eliminates incorrect neoadjuvant chemotherapy administration and inappropriate laparotomy. This algorithm identified a population of women who are more likely to have nonovarian cancer pathology. Increasing screening efforts should be focused on conclusive diagnosis with the least invasive testing possible.

Race-associated molecular changes in gynecologic malignancies.

The difference in cancer morbidity and mortality between individuals of different racial groups is complex. Health disparities provide a framework to explore potential connections between poor outcomes and individuals of different racial backgrounds. This study identifies genomic changes in African-American patients with gynecologic malignancies, a population with well-established disparities in outcomes. Our data explore whether social health disparities might mediate interactions between the environment and tumor epigenomes and genomes that can be identified. Using The Cancer Genetic Ancestry Atlas, which encodes data from The Cancer Genome Atlas by ancestry and allows for systematic analyses of sequencing data by racial group, we performed large-scale, comparative analyses to identify novel targets with alterations in methylation, transcript, and microRNA expression between tumors from women of European American or African American racial groups across all gynecologic malignancies. We identify novel discrete genomic changes in these complex malignancies and suggest a framework for identifying novel therapeutic targets for future investigation.

CD63-mediated cloaking of VEGF in small extracellular vesicles contributes to anti-VEGF therapy resistance.

Despite wide use of anti-vascular endothelial growth factor (VEGF) therapy for many solid cancers, most individuals become resistant to this therapy, leading to disease progression. Therefore, new biomarkers and strategies for blocking adaptive resistance of cancer to anti-VEGF therapy are needed. As described here, we demonstrate that cancer-derived small extracellular vesicles package increasing quantities of VEGF and other factors in response to anti-VEGF therapy. The packaging process of VEGF into small extracellular vesicles (EVs) is mediated by the tetraspanin CD63. Furthermore, small EV-VEGF (eVEGF) is not accessible to anti-VEGF antibodies and can trigger intracrine VEGF signaling in endothelial cells. eVEGF promotes angiogenesis and enhances tumor growth despite bevacizumab treatment. These data demonstrate a mechanism where VEGF is partitioned into small EVs and promotes tumor angiogenesis and progression. These findings have clinical implications for biomarkers and therapeutic strategies for ovarian cancer.

Therapeutic efficacy of liposomal Grb2 antisense oligodeoxynucleotide (L-Grb2) in preclinical models of ovarian and uterine cancer.

BACKGROUND: Adaptor proteins such as growth factor receptor-bound protein-2 (Grb2) play important roles in cancer cell signaling. In the present study, we examined the biological effects of liposomal antisense oligodeoxynucleotide that blocks Grb2 expression (L-Grb2) in gynecologic cancer models. MATERIALS AND METHODS: Murine orthotopic models of ovarian (OVCAR5 and SKOV3ip1) and uterine (Hec1a) cancer were used to study the biological effects of L-Grb2 on tumor growth. In vitro experiments (cell viability assay, Western blot analysis, siRNA transfection, and reverse phase protein array) were carried out to elucidate the mechanisms and potential predictors of tumor response to L-Grb2. FINDINGS: Treatment with L-Grb2 decreased tumor growth and metastasis in orthotopic models of ovarian cancer (OVCAR5, SKOV3ip1) by reducing angiogenesis and increasing apoptosis at a dose of 15 mg/kg with no effect on mouse body weight. Treatment with L-Grb2 and paclitaxel led to the greatest decrease in tumor weight (mean ± SEM, 0.17 g ± 0.10 g) compared with that in control mice (0.99 g ± 0.35 g). We also observed a reduction in tumor burden after treatment with L-Grb2 and the anti-VEGF antibody B-20 (86% decrease in tumor weight compared with that in controls). Ovarian cancer cells with ErbB2 amplification (OVCAR8 and SKOV3ip1) were the most sensitive to Grb2 downregulation. Reverse phase protein array analysis identified significant dysregulation of metabolites (LDHA, GAPDH, and TCA intermediates) in ovarian cancer cells after Grb2 downregulation. INTERPRETATION: L-Grb2 has therapeutic efficacy in preclinical models of ovarian and uterine cancer. These findings support further clinical development of L-Grb2.

Molecular Analysis of Clinically Defined Subsets of High-Grade Serous Ovarian Cancer.

The diversity and heterogeneity within high-grade serous ovarian cancer (HGSC), which is the most lethal gynecologic malignancy, is not well understood. Here, we perform comprehensive multi-platform omics analyses, including integrated analysis, and immune monitoring on primary and metastatic sites from highly clinically annotated HGSC samples based on a laparoscopic triage algorithm from patients who underwent complete gross resection (R0) or received neoadjuvant chemotherapy (NACT) with excellent or poor response. We identify significant distinct molecular abnormalities and cellular changes and immune cell repertoire alterations between the groups, including a higher rate of NF1 copy number loss, and reduced chromothripsis-like patterns, higher levels of strong-binding neoantigens, and a higher number of infiltrated T cells in the R0 versus the NACT groups.

Tumor core biopsies adequately represent immune microenvironment of high-grade serous carcinoma.

The prognostic and therapeutic value of the tumor microenvironment (TME) in various cancer types is of major interest. Characterization of the TME often relies on a small representative tissue sample. However, the adequacy of such a sample for assessing components of the TME is not yet known. Here, we used immunohistochemical (IHC) staining and 7-color multiplex staining to evaluate CD8 (cluster of differentiation 8), CD68, PD-L1 (programmed death-ligand 1), CD34, FAP (fibroblast activation protein), and cytokeratin in 220 tissue cores from 26 high-grade serous ovarian cancer samples. Comparisons were drawn between a larger tumor specimen and smaller core biopsies based on number and location (central tumor vs. peripheral tumor) of biopsies. Our analysis found that the correlation between marker-specific cell subsets in larger tumor versus smaller core was stronger with two core biopsies and was not further strengthened with additional biopsies. Moreover, this correlation was consistently strong regardless of whether the biopsy was taken at the center or at the periphery of the original tumor sample. These findings could have a substantial impact on longitudinal assessment for detection of biomarkers in clinical trials.

ADH1B promotes mesothelial clearance and ovarian cancer infiltration.

Primary debulking surgery followed by adjuvant chemotherapy is the standard treatment for ovarian cancer. Residual disease after primary surgery is associated with poor patient outcome. Previously, we discovered ADH1B to be a molecular biomarker of residual disease. In the current study, we investigated the functional role of ADH1B in promoting ovarian cancer cell invasiveness and contributing to residual disease. We discovered that ADH1B overexpression leads to a more infiltrative cancer cell phenotype, promotes metastasis, increases the adhesion of cancer cells to mesothelial cells, and increases extracellular matrix degradation. Live cell imaging revealed that ADH1B-overexpressing cancer cells efficiently cleared the mesothelial cell layer compared to control cells. Moreover, gene array analysis revealed that ADH1B affects several pathways related to the migration and invasion of cancer cells. We also discovered that hypoxia increases ADH1B expression in ovarian cancer cells. Collectively, these findings indicate that ADH1B plays an important role in the pathways that promote ovarian cancer cell infiltration and may increase the likelihood of residual disease following surgery.