Infrared Spectroscopy in Gynecological Oncology: A Comprehensive Review of Diagnostic Potentials and Challenges.

The early detection of gynecological cancers, which is critical for improving patient survival rates, is challenging because of the vague early symptoms and the diagnostic limitations of current approaches. This comprehensive review delves into the game-changing potential of infrared (IR) spectroscopy, a noninvasive technology used to transform the landscape of cancer diagnosis in gynecology. By collecting the distinctive vibrational frequencies of chemical bonds inside tissue samples, Fourier-transform infrared (FTIR) spectroscopy provides a 'molecular fingerprint' that outperforms existing diagnostic approaches. We highlight significant advances in this field, particularly the identification of discrete biomarker bands in the mid- and near-IR spectra. Proteins, lipids, carbohydrates, and nucleic acids exhibited different absorption patterns. These spectral signatures not only serve to distinguish between malignant and benign diseases, but also provide additional information regarding the cellular changes associated with cancer. To underscore the practical consequences of these findings, we examined studies in which IR spectroscopy demonstrated exceptional diagnostic accuracy. This review supports the use of IR spectroscopy in normal clinical practice, emphasizing its capacity to detect and comprehend the intricate molecular underpinnings of gynecological cancers.

When synchronous mucinous metaplasia and neoplasia of the female genital tract and peutz-jeghers syndrome meet: a case report and literature reviews.

BACKGROUND: Peutz-Jeghers syndrome (PJS) is characterized by the presence of hamartomatous polyps in the gastrointestinal tract and mucocutaneous pigmentation on the lips, oral mucosa, nose, fingers, and toes. Synchronous mucinous metaplasia and neoplasia of the female genital tract (SMMN-FGT) refers to the occurrence of multifocal mucinous lesions in at least two sites, including the cervix, uterus, fallopian tubes, and ovaries, in the female genital tract. SMMN-FGT and PJS are rare diseases with a very low incidence, especially when occurring simultaneously. CASE PRESENTATION: We report a case in which a woman with a large mass on the left ovary underwent a gynecological surgery and was diagnosed with cervical gastric-type adenocarcinoma and mucinous lesions in the endometrium, bilateral fallopian tubes, and ovary, i.e., SMMN-FGT, by postoperative paraffin pathology. The patient sought medical attention for abdominal distension and enlargement. A gynecological ultrasound revealed a multilocular cystic mass in the pelvis, while serum tumor markers were within normal limits, with mildly elevated carbohydrate antigen 199 and carbohydrate antigen 125 levels. Cervical thin-prep cytology test result was negative. The patient had a family history of PJS with black spots on her skin and mucous membranes since the age of 8 years. She underwent multiple partial small bowel resections and gastrointestinal polypectomy owing to intestinal obstruction and intussusception. She underwent left adnexectomy, hysterectomy, right salpingectomy, greater omental resection, appendectomy and right ovary biopsy, and received six courses of adjuvant chemotherapy with Lopressor plus Carboplatin. Genetic testing revealed a heterozygous serine threonine kinase 11 germline mutation and there were no signs of recurrence during the 18-month follow-up period after treatment. CONCLUSIONS: This is a rare case in which PJS was complicated by SMMN-FGT. Owing to its extreme rarity, there are no guidelines, but reported cases appear to indicate a poor prognosis. We retrospectively reviewed all cases of collisions between PJS and SMMN-FGT and explored the clinical features, pathological characteristics, diagnosis, treatment methods, and prognosis when the two diseases coexisted. The aim is to deepen the clinicians' understanding of this disease for early detection, diagnosis and treatment.

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.

Evaluation of online text-based information resources of gynaecological cancer symptoms.

BACKGROUND: Gynaecological cancer symptoms are often vague and non-specific. Quality health information is central to timely cancer diagnosis and treatment. The aim of this study was to identify and evaluate the quality of online text-based patient information resources regarding gynaecological cancer symptoms. METHODS: A targeted website search and Google search were conducted to identify health information resources published by the Australian government and non-government health organisations. Resources were classified by topic (gynaecological health, gynaecological cancers, cancer, general health); assessed for reading level (Simple Measure of Gobbledygook, SMOG) and difficulty (Flesch Reading Ease, FRE); understandability and actionability (Patient Education Materials Assessment Tool, PEMAT, 0-100), whereby higher scores indicate better understandability/actionability. Seven criteria were used to assess cultural inclusivity specific for Aboriginal and Torres Strait Islander people; resources which met 3-5 items were deemed to be moderately inclusive and 6+ items as inclusive. RESULTS: A total of 109 resources were identified and 76% provided information on symptoms in the context of gynaecological cancers. The average readability was equivalent to a grade 10 reading level on the SMOG and classified as 'difficult to read' on the FRE. The mean PEMAT scores were 95% (range 58-100) for understandability and 13% (range 0-80) for actionability. Five resources were evaluated as being moderately culturally inclusive. No resource met all the benchmarks. CONCLUSIONS: This study highlights the inadequate quality of online resources available on pre-diagnosis gynaecological cancer symptom information. Resources should be revised in line with the recommended standards for readability, understandability and actionability and to meet the needs of a culturally diverse population.

Gynecologic perivascular epithelioid cell tumors (PEComas): a review of recent evidence.

Gynecologic perivascular epithelioid cell (PEC) tumors, or 'PEComas,' represent a rare and intriguing subset of tumors within the female reproductive tract. This systematic literature review aims to provide an updated understanding of gynecologic PEComas based on available literature and data. Although PEComa is rare, there are varied tumor-site presentations across gynecologic organs, with uterine PEComas being the most prevalent. There is scarce high-quality literature regarding gynecologic PEComa, and studies on malignant PEComa underscore the challenges in diagnosis. Among the diverse mutations, mTOR alterations are the most prominent. Survival analysis reveals a high rate of local recurrence and metastatic disease, which commonly affects the lungs. Treatment strategies are limited, however mTOR inhibitors have pivotal role when indicated and chemotherapy may also be used. with some cases demonstrating promising responses. The paucity of data underscores the need for multicentric studies, an international registry for PEComas, and standardized reporting in case series to enhance clinical and pathological data.

ChatGPT accurately performs genetic counseling for gynecologic cancers.

OBJECTIVE: Artificial Intelligence (AI) systems such as ChatGPT can take medical examinations and counsel patients regarding medical diagnosis. We aim to quantify the accuracy of the ChatGPT V3.4 in answering commonly asked questions pertaining to genetic testing and counseling for gynecologic cancers. METHODS: Forty questions were formulated in conjunction with gynecologic oncologists and adapted from professional society guidelines and ChatGPT version 3.5 was queried, the version that is readily available to the public. The two categories of questions were genetic counseling guidelines and questions pertaining to specific genetic disorders. The answers were scored by two attending Gynecologic Oncologists according to the following scale: 1) correct and comprehensive, 2) correct but not comprehensive, 3) some correct, some incorrect, and 4) completely incorrect. Scoring discrepancies were resolved by additional third reviewer. The proportion of responses earning each score were calculated overall and within each question category. RESULTS: ChatGPT provided correct and comprehensive answers to 33/40 (82.5%) questions, correct but not comprehensive answers to 6/40 (15%) questions, partially incorrect answers to 1/40 (2.5%) questions, and completely incorrect answers to 0/40 (0%) questions. The genetic counseling category of questions had the highest proportion of answers that were both correct and comprehensive with ChatGPT answering all 20/20 questions with 100% accuracy and were comprehensive in responses. ChatGPT performed equally in the specific genetic disorders category, with 88.2% (15/17) and 66.6% (2/3) correct and comprehensive answers to questions pertaining to hereditary breast and ovarian cancer and Lynch syndrome questions respectively. CONCLUSION: ChatGPT accurately answers questions about genetic syndromes, genetic testing, and counseling in majority of the studied questions. These data suggest this powerful tool can be utilized as a patient resource for genetic counseling questions, though more data input from gynecologic oncologists would be needed to educate patients on genetic syndromes.

Small-cell neuroendocrine carcinoma of the female genital tract: A comprehensive overview.

Small-cell neuroendocrine carcinomas (SCNECs) of the female genital tract are rare and aggressive tumors that are characterized by a high rate of recurrence and poor prognosis. They can arise from various sites within the female genital tract, including the cervix, endometrium, ovary, fallopian tube, vagina, and vulva. They are composed of cells with neuroendocrine features, such as the ability to produce and secrete hormones and peptides, and a high mitotic rate. Immunohistochemical staining for neuroendocrine markers, such as chromogranin A, synaptophysin, and CD56, can aid in the diagnosis of these tumors. This article provides an overview of the epidemiology, etiology, and risk factors associated with these tumors, as well as their clinical presentation, cellular characteristics, diagnosis, and finally the current treatment options for SCNECs, including surgery, chemotherapy, and radiation therapy, alone or in combination.

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.

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.

Dedicated financial hardship screening adds value to routine distress screening among gynecologic cancer patients.

OBJECTIVES: To evaluate existing distress screening to identify patients with financial hardship (FH) compared to dedicated FH screening and assess patient attitudes toward FH screening. METHODS: We screened gynecologic cancer patients starting a new line of therapy. Existing screening included: (1) Moderate/severe distress defined as Distress Thermometer score ≥ 4, (2) practical concerns identified from Problem Checklist, and (3) a single question assessing trouble paying for medications. FH screening included: (1) Comprehensive Score for Financial Toxicity (COST) tool and (2) 10-item Financial Needs Checklist to guide referrals. FH was defined as COST score < 26. We calculated sensitivity (patients with moderate/severe distress + FH over total patients with FH) and specificity (patients with no/mild distress + no FH over total patients with no FH) to assess the extent distress screening could capture FH. Surveys and exit interviews assessed patient perspectives toward screening. RESULTS: Of 364 patients screened for distress, average age was 62 years, 25% were Black, 45% were Medicare beneficiaries, 32% had moderate/severe distress, 15% reported ≥1 practical concern, and 0 reported trouble paying for medications. Most (n = 357, 98%) patients also completed FH screening: of them, 24% screened positive for FH, 32% reported ≥1 financial need. Distress screening had 57% sensitivity and 77% specificity for FH. Based on 79 surveys and 43 exit interviews, FH screening was acceptable with feedback to improve the timing and setting of screening. CONCLUSIONS: Dedicated FH screening was feasible and acceptable, but sensitivity was low. Importantly, 40% of women with FH would not have been identified with distress screening alone.

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.

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.

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.

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.

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.