Development and evaluation of safety and effectiveness of novel cancer screening tests for routine clinical use with applications to multicancer detection technologies

FIT as a Comparator for Evaluating the Effectiveness of New Non-invasive CRC Screening Test

Randomized Controlled Trials (RCT) demonstrated that guaiac-based fecal occult blood test (gFOBT), sigmoidoscopy, or colonoscopy are effective at reducing colorectal cancer (CRC) risk and mortality. Even if the impact of fecal immunochemical test (FIT) has not been evaluated within population-based RCT with mortality as the outcome, the results of comparative analyses with gFOBT provide strong indirect evidence of its effectiveness. Extensive information is also available on sensitivity and specificity of FIT, compared with gFOBT. FIT has almost universally replaced gFOBT in organized screening programs worldwide. Using FIT as a comparator is an efficient way to evaluate the effectiveness of new tests, with respect to test performance and relevant intermediate outcomes such as rates of interval cancer and late-stage cancer incidence. Direct comparison with FIT in the pre-screening evaluation of the accuracy of the new test will guide selection of the cut-off of the new test, and document the potential gain in sensitivity. Comparison in cross-sectional single-round screening evaluation can either use paired or parallel designs. Only parallel designs allow direct comparisons of participation rates. Relative accuracy can be derived in both designs with an assumption of similar colorectal cancer and precursor prevalence between groups in parallel designs. Finally, multiple-rounds prospective comparison will document potential effect on risk of CRC and precancerous lesions, and on absolute reductions in late-stage incidence as a proxy of mortality. This paper provides an overview of evidence and rationale for using FIT as a comparator for evaluating new non-invasive tests with repeated testing at short intervals.

Machine Learning-Aided Identification of Fecal Extracellular Vesicle microRNA Signatures for Noninvasive Detection of Colorectal Cancer

Colorectal cancer (CRC) remains a formidable threat to human health, with considerable challenges persisting in its diagnosis, particularly during the early stages of the malignancy. In this study, we elucidated that fecal extracellular vesicle microRNA signatures (FEVOR) could serve as potent noninvasive CRC biomarkers. FEVOR was first revealed by miRNA sequencing, followed by the construction of a CRISPR/Cas13a-based detection platform to interrogate FEVOR expression across a diverse spectrum of clinical cohorts. Machine learning-driven models were subsequently developed within the realms of CRC diagnostics, prognostics, and early warning systems. In a cohort of 38 CRC patients, our diagnostic model achieved an outstanding accuracy of 97.4% (37/38), successfully identifying 37 of 38 CRC cases. This performance significantly outpaced the diagnostic efficacy of two clinically established biomarkers, CEA and CA19-9, which showed accuracies of mere 26.3% (10/38) and 7.9% (3/38), respectively. We also examined the expression levels of FEVOR in several CRC patients both before and after surgery, as well as in patients with colorectal adenomas (CA). Impressively, the results showed that FEVOR could serve as a robust prognostic indicator for CRC and a potential predictor for CA. This endeavor aimed to harness the predictive power of FEVOR for enhancing the precision and efficacy of CRC management paradigms. We envision that these findings will propel both foundational and preclinical research on CRC, as well as clinical studies.

Development and external validation of a quantitative diagnostic model for malignant gastric lesions in clinical opportunistic screening: A multicenter real-world study

BACKGROUND

Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening.

METHODS

We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial.

RESULTS

This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI]: 0.750-0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI: 0.570-0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios.

CONCLUSION

This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.

Liquid biopsy for early cancer detection: technological revolutions and clinical dilemma

INTRODUCTION

Liquid biopsy is an innovative advancement in oncology, offering a noninvasive method for early cancer detection and monitoring by analyzing circulating tumor cells, DNA, RNA, and other biomarkers in bodily fluids. This technique has the potential to revolutionize precision oncology by providing real-time analysis of tumor dynamics, enabling early detection, monitoring treatment responses, and tailoring personalized therapies based on the molecular profiles of individual patients.

AREAS COVERED

In this review, the authors discuss current methodologies, technological challenges, and clinical applications of liquid biopsy. This includes advancements in detecting minimal residual disease, tracking tumor evolution, and combining liquid biopsy with other diagnostic modalities for precision oncology. Key areas explored are the sensitivity, specificity, and integration of multi-omics, AI, ML, and LLM technologies.

EXPERT OPINION

Liquid biopsy holds great potential to revolutionize cancer care through early detection and personalized treatment strategies. However, its success depends on overcoming technological and clinical hurdles, such as ensuring high sensitivity and specificity, interpreting results amidst tumor heterogeneity, and making tests accessible and affordable. Continued innovation and collaboration are crucial to fully realize the potential of liquid biopsy in improving early cancer detection, treatment, and monitoring.

Colorectal cancer

Despite decreased incidence rates in average-age onset patients in high-income economies, colorectal cancer is the third most diagnosed cancer in the world, with increasing rates in emerging economies. Furthermore, early onset colorectal cancer (age ≤50 years) is of increasing concern globally. Over the past decade, research advances have increased biological knowledge, treatment options, and overall survival rates. The increase in life expectancy is attributed to an increase in effective systemic therapy, improved treatment selection, and expanded locoregional surgical options. Ongoing developments are focused on the role of sphincter preservation, precision oncology for molecular alterations, use of circulating tumour DNA, analysis of the gut microbiome, as well as the role of locoregional strategies for colorectal cancer liver metastases. This overview is to provide a general multidisciplinary perspective of clinical advances in colorectal cancer.

Circulating cell-free DNA-based multi-cancer early detection

Patients benefit considerably from early detection of cancer. Existing single-cancer tests have various limitations, which could be effectively addressed by circulating cell-free DNA (cfDNA)-based multi-cancer early detection (MCED). With sensitive detection and accurate localization of multiple cancer types at a very low and fixed false-positive rate (FPR), MCED has great potential to revolutionize early cancer detection. Herein, we review state-of-the-art approaches for cfDNA-based MCED and their limitations and discuss both technical and clinical challenges in the development and application of MCED tests. Given the constant improvements in technology and understanding of cancer biology, we propose that a cfDNA-based targeted sequencing assay that integrates multimodal features should be optimized for MCED.

Circulating tumor DNA in clinical trials for solid tumors: Challenges and current applications

Tumor derived biomarkers including circulating tumor DNA (ctDNA) and/or circulating tumors cells (CTCs) may be detected and quantified through liquid biopsy (LB). ctDNA analysis through LB is a validated tool for monitoring response to systemic treatment and detecting molecular mechanisms of resistance at the time of progression of advanced stage malignancies. Several applications of ctDNA have been investigated in the diagnostic phase of cancer or in the post-curative treatment surveillance phase (e.g., minimal residual disease assessment after neoadjuvant or adjuvant therapy). Recently, the improvement of ctDNA technology and its implementation have affected early phase trials design, with significant changes in the inclusion and randomization phases. Implementation of LB has resulted in large-scale development of academic programs aimed at exploiting all the potential applications of ctDNA, such as patients extended molecular screening, molecular oriented treatment decision making, monitoring of anti-cancer treatments response. In this rapid evolving field, the challenge is no longer the technique, but the evaluation of the results and the interpretation of their impact on diagnosis, prognosis, or therapeutic decision. Leading research cancer centers may favor education for scientific community, by capturing data on this evolving technology and sharing knowledge. In this review we summarize the main applications and challenges of ctDNA genotyping in clinical trials, with special focus on ongoing studies. We finally describe the most important next generation academic and industry-sponsored programs addressing early cancer detection and prevention in high-risk populations through ctDNA genotyping.

The multitarget fecal immunochemical test versus the fecal immunochemical test for programmatic colorectal cancer screening: a cross-sectional intervention study with paired design

BACKGROUND

Many screening programs for colorectal cancer (CRC) use the fecal immunochemical test (FIT) to triage individuals for colonoscopy. Although these programs reduce CRC incidence and CRC-related mortality, the detection of advanced precursor lesions (advanced adenomas and advanced serrated polyps) by FIT could be improved. As an alternative for FIT, the antibody-based multitargetFIT (mtFIT) has been proposed. The mtFIT measures three protein markers: hemoglobin, calprotectin, and serpin family F member 2. In a retrospective diagnostic accuracy study in a large colonoscopy-controlled series (n = 1284), mtFIT showed increased sensitivity for advanced neoplasia (AN), at equal specificity, compared to FIT (42.9% versus 37.3%; p = 0.025). This increase was mainly due to a higher sensitivity of mtFIT for advanced adenomas (37.8% versus 28.1% for FIT; p = 0.006). The present mtFIT study aims to prospectively validate these findings in the context of the Dutch national CRC screening program.

METHOD

The mtFIT study is a cross-sectional intervention study with a paired design. Eligible subjects for the Dutch FIT-based national CRC screening program are invited to perform mtFIT in addition to FIT. Samples are collected at home, from the same bowel movement, and are shipped to a central laboratory by postal mail. If either one or both tests are positive, participants are referred for colonoscopy. Detailed colonoscopy and pathology data are centrally stored in a national screening database (ScreenIT; Topicus, Deventer, the Netherlands) that is managed by the screening organization, and will be retrieved for this study. We aim to determine the relative sensitivity for AN, comprising of CRC, advanced adenomas and advanced serrated polyps, of mtFIT compared to FIT at an equal positivity rate. Additionally, we will use the Adenoma and Serrated Pathway to Colorectal CAncer model to predict lifetime health effects and costs for programmatic mtFIT- versus FIT-based screening. The target sample size is 13,131 participants.

DISCUSSION

The outcome of this study will inform on the comparative clinical utility of mtFIT versus FIT in the Dutch national CRC screening program and is an important step forward in the development of a new non-invasive stool test for CRC screening.

TRIAL REGISTRATION

Clinicaltrials.gov ; NCT05314309, registered April 6th 2022, first inclusions March 25th 2022 https://clinicaltrials.gov/ct2/results?cond=&term=NCT05314309&cntry=&state=&city=&dist =.