Serum Proteomic Signatures in Cervical Cancer: Current Status and Future Directions.

In 2020, the World Health Organization (WHO) reported 604,000 new diagnoses of cervical cancer (CC) worldwide, and over 300,000 CC-related fatalities. The vast majority of CC cases are caused by persistent human papillomavirus (HPV) infections. HPV-related CC incidence and mortality rates have declined worldwide because of increased HPV vaccination and CC screening with the Papanicolaou test (PAP test). Despite these significant improvements, developing countries face difficulty implementing these programs, while developed nations are challenged with identifying HPV-independent cases. Molecular and proteomic information obtained from blood or tumor samples have a strong potential to provide information on malignancy progression and response to therapy in CC. There is a large amount of published biomarker data related to CC available but the extensive validation required by the FDA approval for clinical use is lacking. The ability of researchers to use the big data obtained from clinical studies and to draw meaningful relationships from these data are two obstacles that must be overcome for implementation into clinical practice. We report on identified multimarker panels of serum proteomic studies in CC for the past 5 years, the potential for modern computational biology efforts, and the utilization of nationwide biobanks to bridge the gap between multivariate protein signature development and the prediction of clinically relevant CC patient outcomes.

Ovarian recurrence risk assessment using machine learning, clinical information, and serum protein levels to predict survival in high grade ovarian cancer.

In ovarian cancer, there is no current method to accurately predict recurrence after a complete response to chemotherapy. Here, we develop a machine learning risk score using serum proteomics for the prediction of early recurrence of ovarian cancer after initial treatment. The developed risk score was validated in an independent cohort with serum collected prospectively during the remission period. In the discovery cohort, patients scored as low-risk had a median time to recurrence (TTR) that was not reached at 10 years compared to 10.5 months (HR 4.66, p < 0.001) in high-risk patients. In the validation cohort, low-risk patients had a median TTR which was not reached compared to 4.7 months in high-risk patients (HR 4.67, p = 0.009). In advanced-stage patients with a CA125 < 10, low-risk patients had a median TTR of 68 months compared to 6 months in high-risk patients (HR 2.91, p = 0.02). The developed risk score was capable of distinguishing the duration of remission in ovarian cancer patients. This score may help guide maintenance therapy and develop innovative treatments in patients at risk at high-risk of recurrence.

High serum levels of inflammatory markers are associated with early recurrence in patients with high-grade serous ovarian cancer after platinum therapy.

OBJECTIVE: To determine if inflammatory biomarkers can predict the long-term outcome of platinum therapy in patients with high-grade serous ovarian cancer. METHODS: Women diagnosed with high-grade serous epithelial ovarian cancer (n = 70) at a single institution were enrolled in a prospective serum collection study between 2005 and 2020. Seventeen markers of inflammation and oxidative stress were measured in serum samples on a chemistry analyzer. Association was tested for serum levels with progression-free survival (PFS), time to recurrence (TTR), overall survival (OS), and time to death (TTD) using Cox proportional hazards and Kaplan-Meier curves. Patient survival was censored at 10 years. RESULTS: Higher serum levels of LDH were associated with worse PFS (HR 2.57, p = 0.028). High serum levels of BAP (HR 0.38, p = 0.025), GSP (HR 0.40, p = 0.040), HDL-c (HR 0.27, p = 0.002), and MG (HR 0.36, p = 0.017) were associated with improved PFS. Higher expression of LDH was associated with worse OS (HR 2.16, p = 0.023). Higher levels of CK.nac (HR 0.39, p = 0.033) and HDL-c (HR 0.35, p = 0.029) were associated with improved OS. Similar outcomes were found with TTR and TTD analyses. CONCLUSION: General inflammatory biomarkers may serve as a guide for prognosis and treatment benefit. Future studies needed to further define their role in predicting prognosis or how these markers may affect response to therapy.

Needs assessment of menopause education in United States obstetrics and gynecology residency training programs.

OBJECTIVE: This study aimed to assess the variance in menopause education, educational resources, and the needs of obstetrics and gynecology (ObGyn) residency programs by conducting a national survey of program directors (PDs). METHODS: In 2022, an institutional review board-approved Web-based Qualtrics survey was designed and distributed electronically to 145 US ObGyn residency PDs. The survey consists of 15 questions. The main outcomes are reported using descriptive statistics. RESULTS: The survey was completed by 99 of 145 PDs (68.3%). Almost all participants (92.9%) strongly agreed that residents nationwide should have access to a standardized menopause curriculum that could be utilized in their programs. Only 31.3% reported having a menopause curriculum in their residency program. Of the programs with a menopause curriculum, 96.8% reported using lectures, 77.4% reported assigned readings, and 74.2% had either dedicated menopause clinics or other clinics with a high volume of menopausal patients. Of all programs surveyed, only 29.3% reported that trainees had dedicated time assigned to a menopause clinic. A total of 83 of 99 PDs agreed or strongly agreed that their programs needed more menopause educational resources, and most (89.7%) stated they were likely or very likely to use self-paced menopause modules that include performance feedback if available. CONCLUSIONS: Data from the needs assessment questionnaire revealed that menopause education and resources vary across residency programs, with the majority lacking a dedicated menopause curriculum. Most PDs expressed a desire for more educational resources and standardized training materials, and preferred to access an online national menopause curriculum.

A tale of two vulvar angiomyxomas: Two cases and review of literature.

Vulvar angiomyxomas are rare benign mesenchymal neoplasms. Superficial and Aggressive angiomyxomas are two distinct phenotypes that present similarly to other more common vulva-perineal pathologies. Albeit both angiomyxomas carry a risk of recurrence, especially in the setting of incomplete resection, simple excision is insufficient for Aggressive angiomyxoma. It requires wide local excision because of its unique potential for local invasion, infiltration of the paravaginal and pararectal tissue, and more distant metastasis. Here, we present a case of Superficial angiomyxoma and a case of Aggressive angiomyxoma to highlight the diagnostic challenges and management strategies of each tumor. In both cases, angiomyxomas were initially misdiagnosed because of their rarity and nonspecific presentation. Magnetic resonance imaging is the modality of choice for evaluation due to inherent higher spatial resolution of soft tissue anatomical details. Early diagnosis of Aggressive angiomyxoma can prevent incomplete excision and recurrence, spare additional surgery, and offer hormonal therapy options.

Gynecologic Oncology fellowship recruitment in the virtual era: An evaluation of program websites and survey of applicant preferences.

Objective: Virtual Gynecologic Oncology fellowship recruitment has altered how candidates and programs exchange information. This study analyzes programs' web-based content and the priorities of fellowship candidates. Methods: Web-based materials of Gynecologic Oncology fellowship programs participating in the 2022 match were reviewed. An anonymous survey was emailed to applicants. Questions assessed importance of web-based materials on a Likert scale. Respondents were asked to rank factors from most to least important in their decisions to interview and rank programs. Results: Of the 66 programs participating in the 2022 Gynecologic Oncology fellowship match, 62 (93.9%) had accessible websites. Over one-fourth (25.8%) of program websites did not list application requirements. Most (74.2%) websites contained requests for letters of recommendation, but fewer (48.4%) specified the preferred quantity or authorship. Residency in-service exam score requirement information was present on 61.3% of websites. Of 100 applicants invited to participate, 44 returned surveys (44% response rate). The median number of programs applied to was 60 (IQR 51-65). Web-based materials most important to candidates were application requirements and deadlines, letter of recommendation details, and in-service exam requirements. Interaction with faculty and program information received during interview days were among the most important factors in decisions to rank programs. Conclusions: Gynecologic Oncology fellowship applicants surveyed in this study applied to nearly all participating fellowships. The content of web-based materials varies across program websites, particularly for application requirements, which applicants indicated as the most important electronically available material. Programs should have clear application requirements and provide clinical details on their websites.

Pharmacogenetics as a predictor chemotherapy induced peripheral neuropathy in gynecologic cancer patients treated with Taxane-based chemotherapy.

BACKGROUND: This study investigated whether there are pharmacogenomic markers predictive of chemotherapy induced peripheral neuropathy (CIPN) as a result of taxane-based chemotherapy. METHODS: Patients were enrolled from August 2020 to November 2020 in a prospective, case-control trial evaluating pharmacogenetic predictors of CIPN. All women were treated with at least 3 cycles of taxane-based chemotherapy for histologically confirmed gynecologic malignancies. Buccal saliva samples were used to test for 32 drug metabolism variations. All testing was performed by ⍺LPHA-GENOMIX laboratories. Fisher's Exact test was used to assess for event differences of categorical variables. RESULTS: Of 102 enrolled patients, 58%, 28%, and 14% had ovarian, endometrial, or cervical cancers, respectively. The median age was 67, 72% were Caucasian and 25% were African American. 16% of patients were treated with 3-4 cycles, 57% received 5-7 cycles, and 27% received 8 or more cycles of chemotherapy that included paclitaxel. Grade 2 CIPN was experienced by 51 patients. There was no difference in age, race, disease site, or number of chemotherapy cycles (p > 0.05) between those who did or did not develop CIPN. CYP2D6 genotype (p = 0.009) and CYP3A5 genotype (p = 0.023) had different frequencies among those with and without CIPN. Patients classified as having poor or intermediate function of CYP2D6 had increased risk of CIPN (OR 1.63, 95% CI 1.04-2.57, p = 0.026). There was no difference in CYP2D6 phenotype by race (p = 0.29). No patients with normal function of CYP3A5 developed CIPN. There were no Caucasians with normal function of CYP3A5, but 28% of African Americans had normal CYP3A5 function (p < 0.001). CONCLUSIONS: Pharmacogenomics appear associated with the development of CIPN and may be able to help personalize treatment decision making.

Pure ovarian dysgerminoma in a postmenopausal patient: A case report and review of the management.

Background: A pure ovarian dysgerminoma in a postmenopausal female is a rare phenomenon. Case: A 65-year-old female presented with a large pelvic mass. Following surgical debulking, the patient was diagnosed with FIGO Stage IIB ovarian dysgerminoma. She was treated with three cycles of etoposide and cisplatin and has been disease-free for 12 months. Conclusion: Dysgerminomas in postmenopausal females are uncommon. Gynecologic oncologists should be familiar with the pathological diagnosis and treatment recommendations to achieve optimal outcomes.

Clinical calculator redefines prognosis for high-risk early-stage ovarian cancers and potential to guide treatment in the adjuvant setting.

OBJECTIVE: To determine the utility of a clinical calculator to redefine prognosis and need for chemotherapy among patients with early-stage high-risk epithelial ovarian cancer. METHODS: Data were abstracted for stage I-II, high-risk ovarian cancer from the National Cancer Database from years 2005 to 2015. Based on demographic, pathologic, surgical, and laboratory characteristics, a clinical score was developed using Cox regression. Propensity score weighting was used to adjust for differences between patients who did and did not receive chemotherapy. RESULTS: Of 8188 patients with early-stage high-risk ovarian cancer, 6915 (84%) did and 1273 (16%) did not receive chemotherapy. A clinical calculator was created utilizing age, stage, histology, grade, tumor size, number of pelvic and paraaortic lymph nodes examined, the presence of malignant ascites, and CA125. The calculator divided patients into low, moderate, and high-risk groups with 5-year OS (overall survival) of 92%, 82%, and 66%, and 10-year OS of 85%, 67%, and 44%, respectively. Chemotherapy improved 5-year OS and 10-year OS in the high-risk group (56% to 73%; p < 0.001, 34% to 48%; p < 0.001). The moderate risk group had improved 5-year OS (80% to 85%; p = 0.01) but not 10-year OS (66% to 66%; p = 0.13). Chemotherapy did not improve 5-year or 10-year OS in low-risk patients (93% to 92%, p = 1.0, 86% to 84%, p = 0.99). CONCLUSIONS: The prognosis among high-risk early-stage ovarian cancer patients is heterogeneous. This calculator may aid in patient-centered counseling regarding potential treatment benefits.

Guillain-Barre Syndrome in a patient with uterine adenocarcinoma undergoing treatment with immune-checkpoint inhibitor therapy: A case report and review of the literature.

BACKGROUND: Use of immune checkpoint inhibitors in treatment of gynecologic malignancies is increasing. Rare, but potentially fatal, immune-related neurologic adverse events may occur as a result of treatment. CASE: A 72 year old female with recurrent metastatic uterine adenocarcinoma received pembrolizumab and lenvatinib combination therapy. Following her second dose of pembrolizumab, the patient developed multiple neurologic symptoms. She was ultimately diagnosed with Guillain-Barre Syndrome based on neurologic evaluation with imaging, serum studies, and cerebrospinal fluid analysis. The patient was successfully treated with high-dose intravenous corticosteroids and intravenous immunoglobulin. CONCLUSION: Neurologic complications related to immune checkpoint inhibitor therapy are rare. It is imperative for gynecologic oncologists to be familiar with potentially fatal hazards of therapy to allow for rapid diagnosis and treatment.

Use of pembrolizumab in MSI-high uterine leiomyosarcoma; a case report and review of the literature.

•Overall prognosis of uterine leiomyosarcoma (ULMS) is poor with a low 5-year survival rate.•Microsatellite instability (MSI)-high ULMS is not well documented in current literature.•Immune checkpoint inhibitors such as pembrolizumab have been shown to have good efficacy in treating MSI-high solid tumors.•Targeting MSI-high ULMS with pembrolizumab can potentially maintain a patient's quality of life and extend overall survival.

Society of Gynecologic Oncology recommendations for fellowship education during the COVID-19 pandemic and beyond: Innovating programs to optimize trainee success.

In approximately ten months' time, the novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected over 34 million people and caused over one million deaths worldwide. The impact of this virus on our health, relationships, and careers is difficult to overstate. As the economic realities for academic medical centers come into focus, we must recommit to our core missions of patient care, education, and research. Fellowship education programs in gynecologic oncology have quickly adapted to the "new normal" of social distancing using video conferencing platforms to continue clinical and didactic teaching. United in a time of crisis, we have embraced systemic change by developing and delivering collaborative educational content, overcoming the limitations imposed by institutional silos. Additional innovations are needed in order to overcome the losses in program surgical volume and research opportunities. With the end of the viral pandemic nowhere in sight, program directors can rethink how education is best delivered and potentially overhaul aspects of fellowship curriculum and content. Similarly, restrictions on travel and the need for social distancing has transformed the 2020 fellowship interview season from an in-person to a virtual experience. During this time of unprecedented and rapid change, program directors should be particularly mindful of the needs and health of their trainees and consider tailoring their educational experiences accordingly.

Are There Survival Differences Between Women with Equivalent Residual Disease After Interval Cytoreductive Surgery Compared with Primary Cytoreductive Surgery for Advanced Ovarian and Peritoneal Cancer?

OBJECTIVE: The aim of this study was to investigate survival differences between equivalent residual disease [complete gross resection (CGR), minimal residual disease (MRD), suboptimal] at the time of primary debulking surgery (PDS) and interval debulking surgery (IDS). METHODS: The National Cancer Database was used to identify patients from 2010 to 2015 with stage IIIC/IV primary peritoneal or ovarian cancer who had residual disease recorded. Propensity score matching (PSM) was used to correct for differences in characteristics between the PDS and IDS groups. RESULTS: Of 8683 patients with advanced ovarian cancer, 4493 (52%), 2546 (29%), and 1644 (19%) had CGR, MRD, or suboptimal resection, respectively. From 2010 to 2015, the number of patients undergoing IDS increased 27% (ptrend < 0.001), and there was an 18% increase in CGRs (ptrend = 0.005). The increased use of IDS from 2010 to 2015 was associated with increased CGRs (ptrend = 0.02) and decreased MRD (ptrend = 0.001), but not with decreased suboptimal resections (ptrend = 0.18). IDS, even after PSM, was associated with inferior overall survival [OS; hazard ratio (HR) 1.12, 95% confidence interval (CI) 1.03-1.22, p = 0.008]. A CGR at PDS had prolonged median OS compared with a CGR at IDS (51 vs. 44 months, p < 0.001). Additionally, MRD at PDS had worse median OS compared with a CGR at IDS (41 vs. 44 months, p = 0.03), but improved median OS compared with MRD at IDS (median OS 35 months, p = 0.05). CONCLUSION: The use of IDS continues to rise in the US, and is associated with improved surgical outcomes but not necessarily similar oncologic outcomes. There should be continued efforts to improve cytoreductive outcomes in women with advanced ovarian and peritoneal malignancies.

A 73-gene proliferative transcriptomic signature predicts uterine serous carcinoma patient survival and response to primary therapy.

OBJECTIVES: To develop a transcriptomic signature capable of predicting overall survival (OS) for uterine serous carcinoma (USC). METHODS: RNAseq data for 58 USC patients were obtained from TCGA. Expression of 73 candidate genes was measured for 67 Augusta University (AU) samples using NanoString technology. RESULTS: Analysis of the TCGA RNAseq data identified 73 genes that individually predict prognosis for USC patients and an elastic net model with all 73 genes (USC73) distinguishes a good OS group with low USC73 score from a poor OS group with high USC73 score (5-year OS = 83.3% and 13.3% respectively, HR = 40.1; p = 3 × 10-8). This finding was validated in the independent AU cohort (HR = 4.3; p = 0.0004). The poor prognosis group with high USC73 score consists of 37.9% and 32.8% of patients in the TCGA and AU cohort respectively. USC73 score and pathologic stage independently contribute to OS and together provide the best prognostic value. Early stage, low USC73 patients have the best prognosis (5-year OS = 85.1% in the combined dataset), while advanced stage, high USC73 patients have the worst prognosis (5-year OS = 6.4%, HR = 30.5, p = 1.2 × 10-12). Consistent with the observed poor survival, primary cell cultures from high USC73 patients had higher proliferation rate and cell cycle progression; and high USC73 patients had lower rates of complete response to standard therapy. CONCLUSIONS: The USC73 transcriptomic signature and stage independently predict OS of USC patients and the best prediction is achieved using USC73 and stage. USC73 may also serve as a therapeutic biomarker to guide patient care.

A combined score of clinical factors and serum proteins can predict time to recurrence in high grade serous ovarian cancer.

OBJECTIVE: To investigate the utility of a combined panel of protein biomarkers and clinical factors to predict recurrence in serous ovarian cancer patients. METHODS: Women at Augusta University diagnosed with ovarian cancer were enrolled between 2005 and 2015 (n = 71). Blood was drawn at enrollment and follow-up visits. Patient serum collected at remission was analyzed using the SOMAscan array (n = 35) to measure levels of 1129 proteins. The best 26 proteins were confirmed using Luminex assays in the same 35 patients and in an additional 36 patients (ntotal = 71) as orthogonal validation. The data from these 26 proteins was combined with clinical factors using an elastic net multivariate model to find an optimized combination predictive of progression-free survival (PFS). RESULTS: Of the 26 proteins, Brain Derived Neurotrophic Factor and Platelet Derived Growth Factor molecules were significant for predicting PFS on both univariate and multivariate analyses. All 26 proteins were combined with clinical factors using the elastic net algorithm. Ten components were determined to predict PFS (HR of 6.55, p-value 1.12 × 10-6, CI 2.57-16.71). This model was named the serous high grade ovarian cancer (SHOC) score. CONCLUSION: The SHOC score can predict patient prognosis in remission. This tool will hopefully lead to early intervention and consolidation therapy strategies in remission patients destined to recur.

A report of Bell's Palsy triggered by leptomeningeal metastases from recurrent high grade serous ovarian cancer.

•CNS metastases involving leptomeninges (LM) are extremely rare in patients with ovarian cancer.•Prognosis for ovarian cancer patients with LM metastases is very poor and treatment is palliative in nature.•Chemotherapy is administered intrathecally via an Ommaya reservoir or intra-CSF via repeated lumbar punctures.•Early recognition of LM metastases can help maintain the patients' quality of life by minimizing neurological deficits.

Multiplex glycan bead array for high throughput and high content analyses of glycan binding proteins.

Glycan-binding proteins (GBPs) play critical roles in diverse cellular functions such as cell adhesion, signal transduction and immune response. Studies of the interaction between GBPs and glycans have been hampered by the availability of high throughput and high-content technologies. Here we report multiplex glycan bead array (MGBA) that allows simultaneous analyses of 384 samples and up to 500 glycans in a single assay. The specificity, sensitivity and reproducibility of MGBA are evaluated using 39 plant lectins, 13 recombinant anti-glycan antibodies, and mammalian GBPs. We demonstrate the utility of this platform by the analyses of natural anti-glycan IgM and IgG antibodies in 961 human serum samples and the discovery of anti-glycan antibody biomarkers for ovarian cancer. Our data indicate that the MGBA platform is particularly suited for large population-based studies that require the analyses of large numbers of samples and glycans.

Predictive modeling for determination of microscopic residual disease at primary cytoreduction: An NRG Oncology/Gynecologic Oncology Group 182 Study.

OBJECTIVE: Microscopic residual disease following complete cytoreduction (R0) is associated with a significant survival benefit for patients with advanced epithelial ovarian cancer (EOC). Our objective was to develop a prediction model for R0 to support surgeons in their clinical care decisions. METHODS: Demographic, pathologic, surgical, and CA125 data were collected from GOG 182 records. Patients enrolled prior to September 1, 2003 were used for the training model while those enrolled after constituted the validation data set. Univariate analysis was performed to identify significant predictors of R0 and these variables were subsequently analyzed using multivariable regression. The regression model was reduced using backward selection and predictive accuracy was quantified using area under the receiver operating characteristic area under the curve (AUC) in both the training and the validation data sets. RESULTS: Of the 3882 patients enrolled in GOG 182, 1480 had complete clinical data available for the analysis. The training data set consisted of 1007 patients (234 with R0) while the validation set was comprised of 473 patients (122 with R0). The reduced multivariable regression model demonstrated several variables predictive of R0 at cytoreduction: Disease Score (DS) (p<0.001), stage (p=0.009), CA125 (p<0.001), ascites (p<0.001), and stage-age interaction (p=0.01). Applying the prediction model to the validation data resulted in an AUC of 0.73 (0.67 to 0.78, 95% CI). Inclusion of DS enhanced the model performance to an AUC of 0.83 (0.79 to 0.88, 95% CI). CONCLUSIONS: We developed and validated a prediction model for R0 that offers improved performance over previously reported models for prediction of residual disease. The performance of the prediction model suggests additional factors (i.e. imaging, molecular profiling, etc.) should be explored in the future for a more clinically actionable tool.

What is the role of retroperitoneal exploration in optimally debulked stage IIIC epithelial ovarian cancer? An NRG Oncology/Gynecologic Oncology Group ancillary data study.

BACKGROUND: The purpose of this study was to determine the effect of retroperitoneal (RP) exploration on progression-free survival (PFS) and overall survival (OS) in epithelial ovarian cancer (EOC) patients with stage IIIC disease who underwent optimal debulking surgery. METHODS: Data were collected from records of the Gynecologic Oncology Group 182 (GOG-182) study of stage IIIC EOC patients cytoreduced to no gross residual disease (R0) or minimal gross residual (<1 cm) disease (MGRD) at primary surgery. Patients with stage IIIC disease by intraperitoneal (IP) tumor were included and divided into 3 groups: 1) > 2 cm IP tumor without lymph node involvement (IP/RP-), 2) > 2 cm IP tumor with lymph node involvement (IP/RP+), and 3) > 2 cm IP tumor with no RP exploration (IP/RP?). The effects of disease distribution and RP exploration on PFS and OS were assessed using Kaplan-Meier and proportional hazards methods. RESULTS: There were 1871 stage IIIC patients in GOG-182 who underwent optimal primary debulking surgery. Of these, 689 (36.8%) underwent RP exploration with removal of lymph nodes from at least 1 para-aortic site, and 1182 (63.2%) did not. There were 269 patients in the IP/RP- group, 420 patients in the IP/RP + group, and 1182 patients in the IP/RP? group. Improved PFS (18.5 vs 16.0 months; P < .0001) and OS (53.3 vs 42.8 months; P < .0001) were associated with RP exploration versus no exploration. Patients with MGRD had improved PFS (16.8 vs 15.1 months, P = 0.0108) and OS (44.9 vs 40.5 months, P = 0.0076) versus no exploration. CONCLUSIONS: RP exploration at the time of primary surgery in patients with optimally debulked stage IIIC EOC is associated with a survival benefit. Cancer 2017;123:985-93. © 2016 American Cancer Society.