Health State Utilities Associated with False-Positive Cancer Screening Results.

INTRODUCTION: Early cancer detection can significantly improve patient outcomes and reduce mortality rates. Novel cancer screening approaches, including multi-cancer early detection tests, have been developed. Cost-utility analyses will be needed to examine their value, and these models require health state utilities. The purpose of this study was to estimate the disutility (i.e., decrease in health state utility) associated with false-positive cancer screening results. METHODS: In composite time trade-off interviews using a 1-year time horizon, UK general population participants valued 10 health state vignettes describing cancer screening with true-negative or false-positive results. Each false-positive vignette described a common diagnostic pathway following a false-positive result suggesting lung, colorectal, breast, or pancreatic cancer. Every pathway ended with a negative result (no cancer detected). The disutility of each false positive was calculated as the difference between the true-negative and each false-positive health state, and because of the 1-year time horizon, each disutility can be interpreted as a quality-adjusted life-year decrement associated with each type of false-positive experience. RESULTS: A total of 203 participants completed interviews (49.8% male; mean age = 42.0 years). The mean (SD) utility for the health state describing a true-negative result was 0.958 (0.065). Utilities for false-positive health states ranged from 0.847 (0.145) to 0.932 (0.059). Disutilities for false positives ranged from - 0.031 to - 0.111 (- 0.041 to - 0.111 for lung cancer; - 0.079 for colorectal cancer; - 0.031 to - 0.067 for breast cancer; - 0.048 to - 0.088 for pancreatic cancer). CONCLUSION: All false-positive results were associated with a disutility. Greater disutility was associated with more invasive follow-up diagnostic procedures, longer duration of uncertainty regarding the eventual diagnosis, and perceived severity of the suspected cancer type. Utility values estimated in this study would be useful for economic modeling examining the value of cancer screening procedures.

Performance of a Cell-Free DNA-Based Multi-cancer Detection Test in Individuals Presenting With Symptoms Suspicious for Cancers.

PURPOSE: A multi-cancer detection test using a targeted methylation assay and machine learning classifiers was validated and optimized for screening in prospective, case-controlled Circulating Cell-free Genome Atlas (ClinicalTrials.gov identifier: NCT02889978) substudy 3. Here, we report test performance in a subgroup of participants with symptoms suspicious for cancer to assess the test's ability to potentially facilitate efficient diagnostic evaluation in symptomatic individuals. METHODS: We evaluated test performance (sensitivity, specificity, and accuracy of cancer signal origin [CSO] prediction accuracy) in participants with clinically presenting cancers (CPCs) and noncancer with underlying medical conditions and among two subgroups (65 years and older and GI cancers). Overall survival (OS) of participants who had a cancer signal detected/not detected was compared with SEER-based expected survival. RESULTS: A total of 2,036 cancer and 1,472 noncancer participants were included. Specificity was high in all noncancer participants (99.5% [95% CI, 98.4 to 99.8]). In participants with CPCs, the overall sensitivity was 64.3% (95% CI, 62.2 to 66.4) and the overall accuracy of CSO prediction in true positives was 90.3%. For GI cancers, the overall sensitivity was 84.1% (95% CI, 80.6 to 87.1). In participants 65 years and older, test performance was similar to that of all participants. Individuals with cancers not detected had a significantly better OS than that expected from SEER (P < .01). CONCLUSION: This test detected a cancer signal with high specificity and CSO prediction accuracy and moderate sensitivity in symptomatic individuals, with especially high performance in participants with GI cancers. The survival analysis implied that the cancers not detected were less clinically aggressive than cancers detected by the test, providing prognostic insights to physicians. This multi-cancer detection test could facilitate efficient workup and stratify cancer risk in symptomatic individuals.

Patient Preferences for Multi-Cancer Early Detection (MCED) Screening Tests.

BACKGROUND: Emerging blood-based multi-cancer early detection (MCED) tests can detect a variety of cancer types across stages with a range of sensitivity, specificity, and ability to predict the origin of the cancer signal. However, little is known about the general US population's preferences for MCED tests. OBJECTIVE: To quantify preferences for MCED tests among US adults aged 50-80 years using a discrete choice experiment (DCE). METHODS: To quantify preferences for attributes of blood-based MCED tests, an online DCE was conducted with five attributes (true positives, false negatives, false positives, likelihood of the cancer type unknown, number of cancer types detected), among the US population aged 50-80 years recruited via online panels and social media. Data were analyzed using latent class multinomial logit models and relative attribute importance was obtained. RESULTS: Participants (N = 1700) were 54% female, mean age 63.3 years. Latent class modeling identified three classes with distinct preferences for MCED tests. The rank order of attribute importance based on relative attribute importance varied by latent class, but across all latent classes, participants preferred higher accuracy (fewer false negatives and false positives, more true positives) and screenings that detected more cancer types and had a lower likelihood of cancer type unknown. Overall, 72% of participants preferred to receive an MCED test in addition to currently recommended cancer screenings. CONCLUSIONS: While there is significant heterogeneity in cancer screening preferences, the majority of participants preferred MCED screening and the accuracy of these tests is important. While the majority of participants preferred adding an MCED test to complement current cancer screenings, the latent class analyses identified a small (16%) and specific subset of individuals who value attributes differently, with particular concern regarding false-negative and false-positive test results, who are significantly less likely to opt-in.

Evaluation of cell-free DNA approaches for multi-cancer early detection.

In the Circulating Cell-free Genome Atlas (NCT02889978) substudy 1, we evaluate several approaches for a circulating cell-free DNA (cfDNA)-based multi-cancer early detection (MCED) test by defining clinical limit of detection (LOD) based on circulating tumor allele fraction (cTAF), enabling performance comparisons. Among 10 machine-learning classifiers trained on the same samples and independently validated, when evaluated at 98% specificity, those using whole-genome (WG) methylation, single nucleotide variants with paired white blood cell background removal, and combined scores from classifiers evaluated in this study show the highest cancer signal detection sensitivities. Compared with clinical stage and tumor type, cTAF is a more significant predictor of classifier performance and may more closely reflect tumor biology. Clinical LODs mirror relative sensitivities for all approaches. The WG methylation feature best predicts cancer signal origin. WG methylation is the most promising technology for MCED and informs development of a targeted methylation MCED test.

The Promise of Multicancer Early Detection. Comment on Pons-Belda et al. Can Circulating Tumor DNA Support a Successful Screening Test for Early Cancer Detection? The Grail Paradigm. Diagnostics 2021, 11, 2171.

Multicancer Early Detection (MCED) represents a new and exciting paradigm for the early detection of cancer, which is the leading cause of death worldwide. Current screening tests, recommended for only five cancer types (breast, lung, colon, cervical, and prostate), are limited by a lack of complete adherence to guideline-based use and by the fact that they have cumulative high false positive rates. MCED tests agnostically detect cancer signals in the blood with good sensitivity and low false positive rates, can predict the cancer site of origin with high accuracy, can detect highly lethal cancers that have no current screening tests, and promise to improve cancer screening by improving efficiency and reducing the overall number needed to screen. Herein we outline this promise and clarify several published misconceptions about this field.

Prognostic Significance of Blood-Based Multi-cancer Detection in Plasma Cell-Free DNA.

PURPOSE: We recently reported the development of a cell-free DNA (cfDNA) targeted methylation (TM)-based sequencing approach for a multi-cancer early detection (MCED) test that includes cancer signal origin prediction. Here, we evaluated the prognostic significance of cancer detection by the MCED test using longitudinal follow-up data. EXPERIMENTAL DESIGN: As part of a Circulating Cell-free Genome Atlas (CCGA) substudy, plasma cfDNA samples were sequenced using a TM approach, and machine learning classifiers predicted cancer status and cancer signal origin. Overall survival (OS) of cancer participants in the first 3 years of follow-up was evaluated in relation to cancer detection by the MCED test and clinical characteristics. RESULTS: Cancers not detected by the MCED test had significantly better OS (P < 0.0001) than cancers detected, even after accounting for other covariates, including clinical stage and method of clinical diagnosis (i.e., standard-of-care screening or clinical presentation with signs/symptoms). Additionally, cancers not detected by the MCED test had better OS than was expected when data were adjusted for age, stage, and cancer type from the Surveillance, Epidemiology, and End Results (SEER) program. In cancers with current screening options, the MCED test also differentiated more aggressive cancers from less aggressive cancers (P < 0.0001). CONCLUSIONS: Cancer detection by the MCED test was prognostic beyond clinical stage and method of diagnosis. Cancers not detected by the MCED test had better prognosis than cancers detected and SEER-based expected survival. Cancer detection and prognosis may be linked by the underlying biological factor of tumor fraction in cfDNA.

Rare epithelial tumors arising in or near the ovary: a review of the risk factors, presentation, and future treatment direction for ovarian clear cell and mucinous carcinoma.

Currently all advanced-stage epithelial ovarian cancers are treated with a total abdominal hysterectomy, bilateral oophorectomy, and complete tumor debulking surgery, followed by carboplatin and paclitaxel. This treatment recommendation is based on clinical trials that are mostly populated with women with high-grade serous carcinomas. Patients with mucinous or clear cell carcinomas of the ovary tend to present with earlier-stage disease, and may not require adjuvant chemotherapy; those with advanced-stage disease tend to have carboplatin-resistant disease. Patients with mucinous ovarian carcinoma have presentations and tumor biology that are similar to colorectal carcinomas and may benefit from colorectal regimens containing fluorouracil (FU) and oxaliplatin. Their tumors may also be KRAS wild-type or have HER2 amplification, and could benefit from drugs like cetuximab or trastuzumab. Patients with clear cell carcinoma of the ovary often harbor AIRD1a mutations, an early event in oncogenesis that is not a currently drugable target. Anecdotal cases and our biologic understanding of these malignancies suggest they might be preferentially sensitive to antiangiogenesis inhibitors. Focused international trials will be needed in both of these rare epithelial ovarian cancers to better define optimal treatment regimens.

The FACIT-AI, a new tool for assessing symptoms associated with malignant ascites.

OBJECTIVE: The objectives of this study are to assess the clinical relevance and validity of the Functional Assessment of Chronic Illness Therapy-Ascites Index (FACIT-AI) in women with ovarian cancer and malignant ascites, and to modify the instrument guided by qualitative feedback from patients with recurrent malignant ascites. METHODS: Fourteen adult female patients with recurrent symptomatic malignant ascites were enrolled from three centers. All completed an open-ended symptom list to identify their primary concerns regarding their condition. They then completed a draft 10-item FACIT-AI questionnaire created from expert input. Eleven patients provided comments regarding the FACIT-AI questionnaire using a written feedback format. Three patients participated in a "think-aloud" cognitive debriefing interview to ensure patient comprehension of questionnaire items. RESULTS: Of the first 11 patients surveyed, 7 believed that the draft FACIT-AI contained all important symptoms associated with malignant ascites. Responses from the remaining 4 patients revealed three symptoms that 2 or more patients nominated for inclusion: urinary frequency, constipation and emotional distress. These items were added to the original FACIT-AI to produce a 13-item index of symptoms associated with malignant ascites. CONCLUSIONS: The 13-item FACIT-AI has content validity among women with malignant ascites associated with ovarian cancer. It is available for use in clinical research or practice, with the expectation that more will be learned about its performance and interpretation over time.

Metastatic mucinous ovarian cancer and treatment decisions based on histology and molecular markers rather than the primary location.

Approximately 22,000 cases of ovarian cancer occur each year in the United States, and likely fewer than 2000 cases of mucinous ovarian cancers. Although 90% of patients with mucinous ovarian cancer present with stage I disease and have curative surgeries, advanced-stage disease is known to have a poor response to standard platinum- and taxane-based chemotherapy. Despite limited enthusiasm, standard chemotherapy is still recommended for most patients with advanced-stage mucinous malignancies of the ovary. This report presents an unusual case of a woman with HER2-positive metastatic mucinous carcinoma of the ovary treated with chemotherapy regimens typically used for colorectal malignancies, followed by epidermal growth factor receptor-targeted therapies.

Multidrug resistance-linked gene signature predicts overall survival of patients with primary ovarian serous carcinoma.

PURPOSE: This study assesses the ability of multidrug resistance (MDR)-associated gene expression patterns to predict survival in patients with newly diagnosed carcinoma of the ovary. The scope of this research differs substantially from that of previous reports, as a very large set of genes was evaluated whose expression has been shown to affect response to chemotherapy. EXPERIMENTAL DESIGN: We applied a customized TaqMan low density array, a highly sensitive and specific assay, to study the expression profiles of 380 MDR-linked genes in 80 tumor specimens collected at initial surgery to debulk primary serous carcinoma. The RNA expression profiles of these drug resistance genes were correlated with clinical outcomes. RESULTS: Leave-one-out cross-validation was used to estimate the ability of MDR gene expression to predict survival. Although gene expression alone does not predict overall survival (OS; P = 0.06), four covariates (age, stage, CA125 level, and surgical debulking) do (P = 0.03). When gene expression was added to the covariates, we found an 11-gene signature that provides a major improvement in OS prediction (log-rank statistic P < 0.003). The predictive power of this 11-gene signature was confirmed by dividing high- and low-risk patient groups, as defined by their clinical covariates, into four specific risk groups on the basis of expression levels. CONCLUSION: This study reveals an 11-gene signature that allows a more precise prognosis for patients with serous cancer of the ovary treated with carboplatin- and paclitaxel-based therapy. These 11 new targets offer opportunities for new therapies to improve clinical outcome in ovarian cancer.

Integrated analysis of multiple microarray datasets identifies a reproducible survival predictor in ovarian cancer.

BACKGROUND: Public data integration may help overcome challenges in clinical implementation of microarray profiles. We integrated several ovarian cancer datasets to identify a reproducible predictor of survival. METHODOLOGY/PRINCIPAL FINDINGS: Four microarray datasets from different institutions comprising 265 advanced stage tumors were uniformly reprocessed into a single training dataset, also adjusting for inter-laboratory variation ("batch-effect"). Supervised principal component survival analysis was employed to identify prognostic models. Models were independently validated in a 61-patient cohort using a custom array genechip and a publicly available 229-array dataset. Molecular correspondence of high- and low-risk outcome groups between training and validation datasets was demonstrated using Subclass Mapping. Previously established molecular phenotypes in the 2(nd) validation set were correlated with high and low-risk outcome groups. Functional representational and pathway analysis was used to explore gene networks associated with high and low risk phenotypes. A 19-gene model showed optimal performance in the training set (median OS 31 and 78 months, p < 0.01), 1(st) validation set (median OS 32 months versus not-yet-reached, p = 0.026) and 2(nd) validation set (median OS 43 versus 61 months, p = 0.013) maintaining independent prognostic power in multivariate analysis. There was strong molecular correspondence of the respective high- and low-risk tumors between training and 1(st) validation set. Low and high-risk tumors were enriched for favorable and unfavorable molecular subtypes and pathways, previously defined in the public 2(nd) validation set. CONCLUSIONS/SIGNIFICANCE: Integration of previously generated cancer microarray datasets may lead to robust and widely applicable survival predictors. These predictors are not simply a compilation of prognostic genes but appear to track true molecular phenotypes of good- and poor-outcome.

Augmentation of therapeutic efficacy in drug-resistant tumor models using ceramide coadministration in temporal-controlled polymer-blend nanoparticle delivery systems.

The development of multidrug resistance (MDR) is a major hindrance to cancer eradication as it renders tumors unresponsive to most chemotherapeutic treatments and is associated with cancer resurgence. This study describes a novel mechanism to overcome MDR through a polymer-blend nanoparticle platform that delivers a combination therapy of C6-ceramide (CER), a synthetic analog of an endogenously occurring apoptotic modulator, together with the chemotherapeutic drug paclitaxel (PTX), in a single formulation. The PTX/CER combination therapy circumvents another cellular mechanism whereby MDR develops, by lowering the threshold for apoptotic signaling. In vivo studies in a resistant subcutaneous SKOV3 human ovarian and in an orthotopic MCF7 human breast adenocarcinoma xenograft showed that the PTX and CER nanoparticle combination therapy reduced the final tumor volume at least twofold over treatment with the standard PTX therapy alone. The study also revealed that the cotherapy accomplished this enhanced efficacy by generating an enhancement in apoptotic signaling in both tumor types. Additionally, acute evaluation of safety with the combination therapy did not show significant changes in body weight, white blood cell counts, or liver enzyme levels. The temporal-controlled nanoparticle delivery system presented in this study allows for a simultaneous delivery of PTX + CER in breast and ovarian tumor model drug, leading to a modulation of the apoptotic threshold. This strategy has tremendous potential for effective treatment of refractory disease in cancer patients.

Ten-year follow-up of a phase 2 study of dose-intense paclitaxel with cisplatin and cyclophosphamide as initial therapy for poor-prognosis, advanced-stage epithelial ovarian cancer.

BACKGROUND: The objective of this study was to assess activity and toxicity in patients with newly diagnosed, advanced-stage epithelial ovarian cancer (EOC) who were receiving dose-intense paclitaxel, cyclophosphamide, cisplatin, and filgrastim delivered with a flexible dosing schedule. METHODS: Patients with stage III/IV EOC received cyclophosphamide 750 mg/m(2), followed by a 24-hour infusion of paclitaxel 250 mg/m(2) and cisplatin 75 mg/m(2) on Day 2. Filgrastim began on Day 3 at 10 microg/kg daily for 9 days. Patients received 6 cycles of all drugs. Those who achieved a pathologic complete response or had microscopic residual disease at the conclusion of 6 cycles of therapy received an additional 2 to 4 cycles of paclitaxel with cyclophosphamide. Patients who had an objective response continued on cyclophosphamide and paclitaxel. RESULTS: Sixty-two patients were enrolled. Thirty-two of 62 patients had stage IIIC disease, and 26 of 62 patients had stage IV disease. According to an intent-to-treat analysis, 55 patients (89%) experienced a clinical complete remission. At a median potential follow-up of 11.4 years, the median progression-free survival was 18.9 months, and the median survival was 5.4 years. The most serious toxicity was grade 3/4 neutropenic fever (35%). Although all participants developed peripheral neuropathy, improvement in neuropathic symptoms began with the decrease or cessation of paclitaxel. CONCLUSIONS: The studied regimen yielded a high response rate and encouraging overall survival. The current data and those reported by the Japanese Gynecologic Oncology Group suggest that further study is warranted of dose-dense or dose-intense paclitaxel regimens in women with newly diagnosed, advanced-stage EOC.

Phase II trial of GM-CSF in women with asymptomatic recurrent müllerian tumors.

OBJECTIVE: GM-CSF is a recombinant human cytokine, which promotes the proliferation and differentiation of granulocytes and monocytes, and is associated with anti-tumor activity. The primary objective was to define the median time to treatment termination (TTT) with women with relapsed ovarian cancer treated with single agent GM-CSF delivered subcutaneously (SC). PATIENTS AND METHODS: Open label phase II study in asymptomatic patients with recurrent müllerian malignancy without an indication for immediate systemic chemotherapy. In the first cohort of 35 women, GM-CSF 250 microg/m(2) was administered SC on days 1-14 of a 28-day cycle, the second cohort received continuous GM-CSF 150 microg/m(2) given with dose escalation. RESULTS: Seventy-two women were enrolled. Best overall response included one complete response, and 20 patients with stable disease (23%), 4 of whom had stable disease for >6 months. Median TTT was 78 days. Toxicity in both cohorts was generally mild; however, four patients experienced excessive toxicity and withdrew consent. In the first cohort, CA-125 dropped in 70% of women from their baseline on study value (median change -23%, range -48 to +116%) after 14 days of GM-CSF. The magnitude of CA-125 drop during the first 2 weeks of therapy also showed a positive inverse correlation with day 15 white cell count for the whole group (p=0.038). CONCLUSION: GM-CSF is well tolerated and frequently associated with a decline in CA-125 that is correlated with leukocytosis. Although median TTT is modest, a subset of women had prolonged stable disease.

CD133 expression defines a tumor initiating cell population in primary human ovarian cancer.

Evidence is accumulating that solid tumors contain a rare phenotypically distinct population of cells, termed cancer stem cells (CSC), which give rise to and maintain the bulk of the tumor. These CSC are thought to be resistant to current chemotherapeutic strategies due to their intrinsic stem-like properties and thus may provide the principal driving force behind recurrent tumor growth. Given the high frequency of recurrent metastasis associated with human ovarian cancer, we sought to determine whether primary human ovarian tumors contain populations of cells with enhanced tumor-initiating capacity, a characteristic of CSC. Using an in vivo serial transplantation model, we show that primary uncultured human ovarian tumors can be reliably propagated in NOD/SCID mice, generating heterogeneous tumors that maintain the histological integrity of the parental tumor. The observed frequency of tumor engraftment suggests only certain subpopulations of ovarian tumor cells have the capacity to recapitulate tumor growth. Further profiling of human ovarian tumors for expression of candidate CSC surface markers indicated consistent expression of CD133. To determine whether CD133 expression could define a tumor-initiating cell population in primary human ovarian tumors, fluorescence-activated cell sorting (FACS) methods were employed. Injection of sorted CD133(+) and CD133(-) cell populations into NOD/SCID mice established that tumor-derived CD133(+) cells have an increased tumorigenic capacity and are capable of recapitulating the original heterogeneous tumor. Our data indicate that CD133 expression defines a NOD/SCID tumor initiating subpopulation of cells in human ovarian cancer that may be an important target for new chemotherapeutic strategies aimed at eliminating ovarian cancer.

Risk stratification for desensitization of patients with carboplatin hypersensitivity: clinical presentation and management.

BACKGROUND: Women with ovarian cancer treated with chemotherapeutic platinum agents frequently develop hypersensitivity reactions (HSRs). How best to risk-stratify patients for desensitization is uncertain. OBJECTIVES: To evaluate skin test (ST) reactivity to carboplatin in patients with recent and remote histories of carboplatin HSR and to review the relationship between skin test reactivity and tolerance of subsequent carboplatin desensitization. METHODS: Thirty-eight women with carboplatin HSR were evaluated by ST to carboplatin. Thirty women subsequently underwent 106 desensitizations to carboplatin. RESULTS: Carboplatin ST was positive in 25 of 38 patients (66%). Of patients with recent HSR (<3 months), 20 of 24 (83%) tested positive, whereas 5 of 14 (36%) with remote HSR (>9 months) tested positive (P < .01). Nineteen carboplatin ST+ and 11 ST- patients underwent desensitization to carboplatin. Seven ST+ patients (37%) had mild HSR during desensitization but completed the desensitization with additional treatment or protocol modification. ST- patients with a recent history of HSR (n = 3) tolerated a rapid protocol without HSR and remained ST- with repeated testing. Six of 8 ST- patients (75%) with remote HSR reacted during desensitization. The HSRs were more severe and often associated with an elevated tryptase level. Five of 7 patients retested became ST+ before the second desensitization. Carboplatin desensitization was successfully completed in 105 of 106 (99%) treatment courses. CONCLUSIONS: The timing of carboplatin ST in relation to initial HSR is vital for risk stratification and subsequent desensitization. Initial ST- patients with a remote history of HSR are at high risk for conversion to ST+ and can develop more severe HSR.