Primary lymphoma of the female genital tract masquerading as gynecological malignancy.

BACKGROUND: Primary lymphoma of the female genital tract (PLFGT) is a rare malignant tumor in the female reproductive system, with a low incidence and few clinical reports. The aim of this study is to report our institutional experience with this rare malignancy and emphasize the need for increasing the awareness about PLFGT presenting with gynecologic symptoms. METHODS: The medical records of patients diagnosed with PLFGT from March 2014 to November 2022 in the First Affiliated Hospital of Wannan Medical College were reviewed. Histological classification and staging were based on the World Health Organization and Ann Arbor systems, respectively. RESULTS: There were 13 patients with diagnosis of PLFGT and the median length of follow-up was 31 months (0-102 months). The main clinical symptoms included postmenopausal vaginal bleeding, pelvic mass and abdominal pain. Serum LDH increased in 10 patients and serum CA125 elevated in 2 patients. The tumor of ovarian or uterine presented as solid masses in CT or MRI, and ascites was rare. The histological subtypes were diffuse large B-cell (n = 12) and follicular (n = 1) lymphoma. Tumors were located in ovary (n = 8), uterus (n = 3), and cervix (n = 2). According to the Ann Arbor staging system, 6 cases were classified as stage II and 7 cases were classified as stage IV, respectively. A total of 10 patients underwent surgery. Combination chemotherapy was used in 10 patients. Eight patients had tumor-free survival, 1 patient had recurrent disease, 3 patients died and 1 patient lost to follow-up. The median survival time was 32 months (1-102 months). CONCLUSION: PLFGT usually presents as gynecological symptoms and solid masses in pelvis. Surgery or biopsy was the way to obtain the pathologic diagnosis, and combination chemotherapy is the efficient method for PLFGT. Making an accurate preoperative diagnosis is of paramount importance to avoid radical gynecologic surgery.

Establishing the sensitivity and specificity of the gynaecological cancer distress screen.

OBJECTIVE: Nuanced distress screening tools can help cancer care services manage specific cancer groups' concerns more efficiently. This study examines the sensitivity and specificity of a tool specifically for women with gynaecological cancers (called the Gynaecological Cancer Distress Screen or DT-Gyn). METHODS: This paper presents cross-sectional data from individuals recently treated for gynaecological cancer recruited through Australian cancer care services, partner organisations, and support/advocacy services. Receiver operating characteristics analyses were used to evaluate the diagnostic accuracy of the DT-Gyn against criterion measures for anxiety (GAD-7), depression (patient health questionnaire), and distress (IES-R and K10). RESULTS: Overall, 373 individuals aged 19-91 provided complete data for the study. Using the recognised distress thermometer (DT) cut-off of 4, 47% of participants were classified as distressed, while a cut-off of 5 suggested that 40% had clinically relevant distress. The DT-Gyn showed good discriminant ability across all measures (IES-R: area under the curve (AUC) = 0.86, 95% CI = 0.82-0.90; GAD-7: AUC = 0.89, 95% CI = 0.85-0.93; K10: AUC = 0.88, 95% CI = 0.85-0.92; PHQ-9: AUC = 0.85, 95% CI = 0.81-0.89) and the Youden Index suggested an optimum DT cut-point of 5. CONCLUSIONS: This study established the psychometric properties of the DT-Gyn, a tool designed to identify and manage the common sources of distress in women with gynaecological cancers. We suggest a DT cut point ≥5 is optimal in detecting 'clinically relevant' distress, anxiety, and depression in this population.

Circulating Tumor DNA (ctDNA) and Its Role in Gynecologic Malignancies.

OPINION STATEMENT: Circulating tumor DNA (ctDNA) refers to small fragments of DNA released into the bloodstream by cancer cells. It is obtained through "liquid biopsy;" which most commonly refers to plasma or blood samples, but can be obtained from a number of bodily fluids including ascitic fluid, saliva, and even urine and stool. ctDNA is detected via polymerase chain reaction (PCR) or next-generation sequencing (NGS). The DNA from these samples is analyzed for the detection of point mutations, copy-number alterations, gene fusion, and DNA methylation. These results have the potential for use in cancer diagnosis, determining prognosis, targeting gene-specific therapies, and monitoring for/predicting disease recurrence and response to treatment. ctDNA offers an alternative to tissue biopsy; it is less invasive and can be monitored serially over time without multiple procedures. Moreover it may have the ability to detect disease recurrence or predict behavior in a way that solid tissue biopsies, tumor marker surveillance, and imaging cannot. Recent explosion in interest in ctDNA shows promising developments for widespread adoption of these techniques in cancer care. However, the use of ctDNA in diagnosis and treatment of gynecologic malignancies is currently limited, compared to adoption in other solid-organ tumors such as breast and colorectal cancers. Compared to other cancer types, there appear to be fewer comprehensive studies and clinical validations specifically focusing on the use of ctDNA in gynecologic cancers. More research is needed in this area to advance the potential for use of ctDNA in ovarian, endometrial, and cervical cancers before this can be routinely adopted to improve care for patients with gynecologic malignancies.

Using online search activity for earlier detection of gynaecological malignancy.

BACKGROUND: Ovarian cancer is the most lethal and endometrial cancer the most common gynaecological cancer in the UK, yet neither have a screening program in place to facilitate early disease detection. The aim is to evaluate whether online search data can be used to differentiate between individuals with malignant and benign gynaecological diagnoses. METHODS: This is a prospective cohort study evaluating online search data in symptomatic individuals (Google user) referred from primary care (GP) with a suspected cancer to a London Hospital (UK) between December 2020 and June 2022. Informed written consent was obtained and online search data was extracted via Google takeout and anonymised. A health filter was applied to extract health-related terms for 24 months prior to GP referral. A predictive model (outcome: malignancy) was developed using (1) search queries (terms model) and (2) categorised search queries (categories model). Area under the ROC curve (AUC) was used to evaluate model performance. 844 women were approached, 652 were eligible to participate and 392 were recruited. Of those recruited, 108 did not complete enrollment, 12 withdrew and 37 were excluded as they did not track Google searches or had an empty search history, leaving a cohort of 235. RESULTS: The cohort had a median age of 53 years old (range 20-81) and a malignancy rate of 26.0%. There was a difference in online search data between those with a benign and malignant diagnosis, noted as early as 360 days in advance of GP referral, when search queries were used directly, but only 60 days in advance, when queries were divided into health categories. A model using online search data from patients (n = 153) who performed health-related search and corrected for sample size, achieved its highest sample-corrected AUC of 0.82, 60 days prior to GP referral. CONCLUSIONS: Online search data appears to be different between individuals with malignant and benign gynaecological conditions, with a signal observed in advance of GP referral date. Online search data needs to be evaluated in a larger dataset to determine its value as an early disease detection tool and whether its use leads to improved clinical outcomes.

Genetic risk assessment in breast and gynecologic malignancies- what's to know in 2024?

PURPOSE OF REVIEW: Hereditary cancer risk assessment and counseling have become integral in oncology care, especially in breast and gynecologic malignancies where genetic test results impact management. However, a large number of patients who could benefit from genetic testing are not getting tested. As such, genetic risk assessment and counseling methods have had to evolve to meet the needs of this expanding patient population. RECENT FINDINGS: "Mainstreaming" genetic testing is an initiative to incorporate genetic testing into routine cancer care in lieu of the traditional genetic counseling model to improve uptake of testing while minimizing expansion of genetic counselor and clinic resources. These models have performed well in various institutions demonstrating an improvement in clinical efficacy. However, missed opportunities from the preventive care standpoint, a core value of cancer genetics risk assessment, have become apparent. The focus of these models is on the patient's cancer diagnosis and comprehensive/familial genetic risk assessment is not often completed. SUMMARY: Identifying patients at an increased risk of cancer, even in the absence of a hereditary cancer predisposition syndrome, is important in tailoring screening and preventive measures. As we look to the future, we need to critically approach mainstreaming and determine how to reincorporate comprehensive genetic risk assessment into our models.

Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers.

Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the greatest threat to world health, with early identification being crucial to patient outcomes and survival rates. The application of machine learning (ML) and artificial intelligence (AI) approaches to the study of gynecological cancer has shown potential to revolutionize cancer detection and diagnosis. The current review outlines the significant advancements, obstacles, and prospects brought about by AI and ML technologies in the timely identification and accurate diagnosis of different types of gynecological cancers. The AI-powered technologies can use genomic data to discover genetic alterations and biomarkers linked to a particular form of gynecologic cancer, assisting in the creation of targeted treatments. Furthermore, it has been shown that the potential benefits of AI and ML technologies in gynecologic tumors can greatly increase the accuracy and efficacy of cancer diagnosis, reduce diagnostic delays, and possibly eliminate the need for needless invasive operations. In conclusion, the review focused on the integrative part of AI and ML based tools and techniques in the early detection and exclusion of various cancer types; together with a collaborative coordination between research clinicians, data scientists, and regulatory authorities, which is suggested to realize the full potential of AI and ML in gynecologic cancer care.

Pulmonary cryptococcosis masquerading as lung metastasis in gynecologic cancers: Two case reports.

RATIONALE: Pulmonary cryptococcal infections occur mainly in immunocompromised individuals, such as those with malignancies. Preoperative diagnosis of pulmonary cryptococcosis (PC) can be challenging for both clinicians and radiologists because of nonspecific clinical manifestations and variable radiologic features, as it is easily misdiagnosed as metastatic lung cancer. PATIENT CONCERNS: In case 1, a 76-year-old woman with a history of cervical cancer presented with lung nodules detected on chest computed tomography (CT) 13 months after completing concurrent chemoradiotherapy. In case 2, a 56-year-old woman with a history of ovarian cancer presented with pulmonary nodules on chest CT 19 months after completing chemotherapy. Both patients were clinically asymptomatic, and tumor markers were not elevated. DIAGNOSES: In case 1, chest CT revealed multiple enhanced nodules with lobulated margins in the left lower lobe, and positron emission tomography (PET)-CT showed uptake in the nodule with a standardized uptake value of 3.7. In case 2, chest CT revealed several nodules in the right upper lobe abutting the right major fissure, and PET-CT revealed fluorodeoxyglucose uptake in the nodules. Pathology revealed granulomatous inflammation with cryptococcal infection, and mucicarmine and periodic acid-Schiff staining confirmed cryptococcal infection in both cases. INTERVENTIONS: Presumptive diagnoses of lung metastases were made in both cases and thoracoscopic lobectomy was performed. Postoperatively, the patients received antifungal therapy with fluconazole. OUTCOMES: PC was differentially diagnosed and effectively managed. The patients remained disease-free for both PC and gynecological cancers during subsequent follow-ups. LESSONS: Recognition that PC can mimic lung metastasis is important for managing gynecological cancers. PC should be considered in the differential diagnosis when single or multiple nodules are detected on chest radiography without elevation of tumor markers in patients with gynecological cancer.

Gynecologic cancer care in the first year of the COVID-19 pandemic.

OBJECTIVE: To analyze the impact of the early COVID-19 pandemic on the diagnosis and initiation of treatment for patients with gynecologic cancer. METHODS: Patients diagnosed with gynecologic cancer in the National Cancer Database during 2017-2020 were included. For the first aim, incidence rate ratios were calculated to compare gynecologic cancer diagnosis in the first year of the COVID-19 pandemic to the three years prior, and factors associated with a reduction in diagnosis were identified. For the second aim, patients who experienced an 8-week delay in cancer treatment were compared to those who did not. Multivariate logistic regression was used to identify factors associated with treatment delay. Propensity score analysis was utilized to compare the rate of cancer treatment delay in patients who were diagnosed with COVID-19 to those who were not. RESULTS: The incidence rate ratio of being diagnosed with gynecologic cancer in 2020 versus 2017-2019 was 0.90 (95%CI 0.90-0.91). Factors associated with increased risk of missed or delayed diagnosis in 2020 included cervical cancer, earlier cancer stage, younger age, lower levels of medical comorbidity, and lack of health insurance. In 2020, factors associated with treatment delay included COVID-19 diagnosis (aOR 1.50, 95%CI 1.35-1.67), in addition to race and ethnicity, insurance type, comorbidity, cancer stage, and primary site. The risk of treatment delay remained significantly elevated in patients diagnosed with COVID-19 after propensity-score matching. CONCLUSIONS: Gynecologic cancer diagnosis and timely provision of care were negatively impacted during the first year of the COVID-19 pandemic, with certain subgroups at elevated risk.

Artificial intelligence-based risk stratification, accurate diagnosis and treatment prediction in gynecologic oncology.

As data-driven science, artificial intelligence (AI) has paved a promising path toward an evolving health system teeming with thrilling opportunities for precision oncology. Notwithstanding the tremendous success of oncological AI in such fields as lung carcinoma, breast tumor and brain malignancy, less attention has been devoted to investigating the influence of AI on gynecologic oncology. Hereby, this review sheds light on the ever-increasing contribution of state-of-the-art AI techniques to the refined risk stratification and whole-course management of patients with gynecologic tumors, in particular, cervical, ovarian and endometrial cancer, centering on information and features extracted from clinical data (electronic health records), cancer imaging including radiological imaging, colposcopic images, cytological and histopathological digital images, and molecular profiling (genomics, transcriptomics, metabolomics and so forth). However, there are still noteworthy challenges beyond performance validation. Thus, this work further describes the limitations and challenges faced in the real-word implementation of AI models, as well as potential solutions to address these issues.

European multidisciplinary tumor boards support cross-border networking and increase treatment options for patients with rare gynecological tumors.

OBJECTIVE: To evaluate outcomes of European cross-border multidisciplinary tumor boards in terms of participation, adherence to treatment recommendations, and access to novel treatment strategies. METHODS: The European reference network for rare gynecological tumors (EURACAN G2 domain) aims to improve the diagnosis, management, and treatment of patients with these cancers. Cross-border multidisciplinary tumor boards were initiated to facilitate intercollegiate clinical discussions across Europe and increase patients' access to specialist treatment recommendations and clinical trials. All G2 healthcare providers were invited to participate in monthly multidisciplinary meetings. Patient data were collected using a standardized form and case summaries were distributed before each meeting. After each tumor board, a meeting summary with treatment recommendations was sent to all participants and the project manager at the coordinating center. The multidisciplinary tumor board format and outcomes were regularly discussed at G2 domain meetings. Anonymized clinical data and treatment recommendations were registered in a prospective database. For this report, clinical data were collected between November 2017 and December 2020 and follow-up data retrieved until May 2021. RESULTS: During the 3-year period, 31 multidisciplinary tumor boards were held with participants from 10 countries and 20 centers. 91 individual patients were discussed between one and six times for a total of 109 case discussions. Follow-up data were retrieved from 64 patients and 80 case discussions. Adherence to treatment recommendations was 99%. Multidisciplinary tumor board recommendations resulted in 11 patients getting access to off-label treatment and one patient being enrolled in a clinical trial in another European country. 14/91 patients were recommended for surveillance only when additional treatment had been considered locally. CONCLUSION: Cross-border multidisciplinary tumor boards enable networking and clinical collaboration between healthcare professionals in different countries. Surveillance strategies, off-label drug use, and increased participation in clinical trials are possible benefits to patients with rare gynecological tumors.

Nontuberculous mycobacterial infection mimicking gynecologic malignancy in a woman living with HIV.

The weakened immune system in people living with HIV (PLWH) can lead to infectious diseases occurring more aggressively and mimicking the clinical manifestations of malignancies. Mycobacterium sherrisii, a slow-growing nontuberculous mycobacterium, may cause opportunistic infections among PLWH. We present a case of a 41-year-old woman who initially presented with fever, vaginal spotting, and a bulky pelvic mass, raising suspicion of uterine malignancy. Following a surgical resection, she was pathologically diagnosed with leiomyoma and endometriosis. However, during an event of needlestick injury, she was unexpectedly found to be HIV-infected and the CD4 count was 157 cells/µL at diagnosis, which prompted a diagnostic work-up for opportunistic infections. The diagnosis of disseminated M. sherrisii infection was confirmed through cultures and special staining of specimens obtained from the pelvic tumor and blood. Subsequently, she was treated with a combination of ethambutol, azithromycin, and levofloxacin. Two months after treatment, abdominal and pelvic computed tomography revealed no evidence of recurrent tumor or abscess formation. Given the frequent association of pelvic masses with gynecologic malignancies in women living with HIV, it can be challenging to differentiate between a cancerous lesion and an infectious process, emphasizing the need for meticulous investigations to minimize the potential for misdiagnosis.

The prognostic impact of peritoneal tumour DNA in gastrointestinal and gynaecological malignancies: a systematic review.

Peritoneal metastases from various abdominal cancer types are common and carry poor prognosis. The presence of peritoneal disease upstages cancer diagnosis and alters disease trajectory and treatment pathway in many cancer types. Therefore, accurate and timely detection of peritoneal disease is crucial. The current practice of diagnostic laparoscopy and peritoneal lavage cytology (PLC) in detecting peritoneal disease has variable sensitivity. The significant proportion of peritoneal recurrence seen during follow-up in patients where initial PLC was negative indicates the ongoing need for a better diagnostic tool for detecting clinically occult peritoneal disease, especially peritoneal micro-metastases. Advancement in liquid biopsy has allowed the development and use of peritoneal tumour DNA (ptDNA) as a cancer-specific biomarker within the peritoneum, and the presence of ptDNA may be a surrogate marker for early peritoneal metastases. A growing body of literature on ptDNA in different cancer types portends promising results. Here, we conduct a systematic review to evaluate the prognostic impact of ptDNA in various cancer types and discuss its potential future clinical applications, with a focus on gastrointestinal and gynaecological malignancies.

Exploring motivations for participating in research among Australian women with advanced gynaecological cancer: a qualitative study.

PURPOSE: With global moves to increase research among those living with advanced cancer and legitimise consumers as part of cancer research, this article aims to build an understanding of women's motivations and reasons for participating in gynaecological cancer research. As a secondary aim, we considered the role of qualitative methods in enabling active involvement of consumers in research. METHODS: We applied thematic discursive analysis to 18 in-depth interviews with women diagnosed with advanced (stage III-IV) gynaecological cancer living in Australia. RESULTS: We found that women viewed research as a vehicle for change in two directions: improving the lives of future generations and improving education and awareness. Underpinning these two framings of research, women spoke about their own role and reasons for participating in this interview study. Women's stories were painted against a backdrop of social and medical silences around gynaecological cancer. It was from such silence that women chose to speak up and position themselves as participating in service for knowledge production. CONCLUSION: We learned that trust, reciprocity and relationships are central to women's decisions to participate in cancer research. Legitimising consumers in cancer research requires methods, methodologies and practices that pay careful attention to power, control and representation.

Executive Summary of the Lower Anogenital Tract Cancer Evidence Review Conference.

The Centers for Disease Control and Prevention sponsored a project conducted by the American College of Obstetricians and Gynecologists to develop educational materials for clinicians on the prevention and early diagnosis of gynecologic cancers. For this final module, focusing on the cancers of the lower anogenital tract (vulva, vagina, and anus), a panel of experts in evidence assessment from the Society for Academic Specialists in General Obstetrics and Gynecology, ASCCP, and the Society of Gynecologic Oncology reviewed relevant literature and current guidelines. Panel members conducted structured literature reviews, which were then reviewed by other panel members. Representatives from stakeholder professional and patient advocacy organizations met virtually in September 2022 to review and provide comment. This article is the executive summary of the review. It covers prevention, early diagnosis, and special considerations of lower anogenital tract cancer. Knowledge gaps are summarized to provide guidance for future research.

Long-term impact of the Affordable Care Act's dependent coverage mandate on young women with gynecologic cancer.

BACKGROUND: The dependent coverage mandate in the 2010 Affordable Care Act (ACA) allows young adults to stay on a parent's private insurance through age 26. While this mandate is associated with gains in insurance and early-stage cancer diagnosis, its long-term impact on survival is unknown. OBJECTIVE: To compare insurance coverage, stage at diagnosis, and overall survival in patients with gynecologic cancer before and after the ACA's dependent coverage mandate. METHODS: Using difference-in-differences (DiD) analysis, we conducted a retrospective cohort study comparing outcomes before and after the implementation of the ACA's dependent coverage mandate in young patients with gynecologic cancer, ages 18-26 years (exposure group) to patients ages 27-35 (control group). We analyzed insurance coverage, stage at diagnosis, and 1, 2, and 3-year overall survival, adjusted for age and comorbidities, utilizing the 2004-2017 National Cancer Database. IRB exemption was obtained. RESULTS: A total of 3553 cases pre-reform and 4535 cases post-reform were identified for patients 18-26 years compared to 14,420 pre-reform and 19,821 post-reform for patients age 27-35. The ACA's dependent coverage mandate was associated with significant gains in insurance (DiD 2%, 95% CI 0.6-3.5) and early-stage diagnosis (3.1%, 95% CI 0.6-5.7). The ACA's dependent coverage mandate was associated with significant gains in 3-year survival (2.4%, 95% CI 0.4-4.3) and non-significant gains in 1 and 2-year survival. CONCLUSION: The ACA's dependent coverage mandate is associated with improvements in early-stage diagnosis and survival for young patients with gynecologic cancer. Maintaining insurance gains-and expanding to the remaining uninsured-are critical for the health of young patients with gynecologic cancer.

Plasma Thioredoxin Reductase as a Potential Biomarker for Gynecologic Cancer.

BACKGROUND: According to previous literatures, plasma thioredoxin reductase (TrxR) level was significantly elevated in various malignant tumors and serve as a potential biomarker for diagnosis and prognostic prediction. However, there is little awareness of the clinical value of plasma TrxR in gynecologic malignancies. In the present study, we aim to evaluate the diagnostic accuracy of plasma TrxR in gynecologic cancer and explore its role in treatment surveillance. METHODS: We retrospectively enrolled 134 patients with gynecologic cancer and 79 patients with benign gynecologic disease. The difference of plasma TrxR activity and tumor markers level between two groups was compared using Mann-Whitney U test. By detecting pretreatment and post-treatment level of TrxR and conventional tumor markers, we further assessed the change trend of them with the Wilcoxon signed-ranks test. RESULTS: Compared with benign control [5.7 (5, 6.6) U/mL], statistically significant increase of TrxR activity was observed in gynecologic cancer group [8.4 (7.25, 9.825) U/mL] (P < .0001), regardless of age and stage. On the basis of receiver operating characteristic (ROC) curves, we found plasma TrxR shows the highest diagnostic efficacy for distinguishing malignancy with benign disease, with an area under the curve (AUC) of 0.823 (95% confidence interval [CI] = 0.767-0.878), in the whole cohort. Besides, patients receiving treatment previously [8 (6.5, 9) U/mL] had a decreased TrxR level relative to treatment-native patients [9.9 (8.6, 10.85) U/mL]. Furthermore, follow-up data showed that plasma TrxR level would be evidently decreased after two courses of antitumor therapy (P < .0001), which is consistent with the downward trend of conventional tumor markers. CONCLUSION: Collectively, all these results demonstrated plasma TrxR is an effective parameter for gynecologic cancer diagnosis and concurrently acts as a promising biomarker for treatment response assessment.

Guideline-Based Algorithmic Recommendations Versus Multidisciplinary Team Advice for Gynecologic Oncology.

Evidence-based clinical decision making in oncology is challenging. Multi-disciplinary team (MDTs) meetings are organized to consider different diagnostic and treatment options. MDT advice are often based on clinical practice guideline recommendations which can be extensive and ambiguous, making it difficult to implement in clinical practice. To address this issue, guideline-based algorithms have been developed. These are applicable in clinical practice and enable accurate guideline adherence evaluation. This ongoing study aims to determine the optimal decision-making approach for different subpopulations of patients with high-incidence gynecological cancers.