Piercing the Shadows: Exploring the Influence of Signal Preprocessing on Interpreting Ultrasensitive Bioelectronic Sensor Data.

The development of ultrasensitive electronic sensors for in vitro diagnostics is essential for the reliable monitoring of asymptomatic individuals before illness proliferation or progression. These platforms are increasingly valued for their potential to enable timely diagnosis and swift prognosis of infectious or progressive diseases. Typically, the responses from these analytical tools are recorded as digital signals, with electronic data offering simpler processing compared to spectral and optical data. However, preprocessing electronic data from potentiometric biosensor arrays is still in its infancy compared to more established optical technologies. This study utilized the Single-Molecule with a Large Transistor (SiMoT) array, which has achieved a Technology Readiness Level of 5, to explore the impact of data preprocessing on electronic biosensor outcomes. A dataset consisting of plasma and cyst fluid samples from 37 patients with pancreatic precursor cyst lesions was analyzed. The findings revealed that standard signal preprocessing can produce misleading conclusions due to artifacts introduced by mathematical transformations. The study offers strategies to mitigate these effects, ensuring that data interpretation remains accurate and reflective of the underlying biochemical information in the samples.

Noninvasive multi-cancer detection using blood-based cell-free microRNAs.

Patients diagnosed with early-stage cancers have a substantially higher chance of survival than those with late-stage diseases. However, the option for early cancer screening is limited, with most cancer types lacking an effective screening tool. Here we report a miRNA-based blood test for multi-cancer early detection based on examination of serum microRNA microarray data from cancer patients and controls. First, a large multi-cancer training set that included 1,408 patients across 7 cancer types and 1,408 age- and gender-matched non-cancer controls was used to develop a 4-microRNA diagnostic model using 10-fold cross-validation. In three independent validation sets comprising a total of 4,875 cancer patients across 13 cancer types and 3,722 non-cancer participants, the 4-microRNA model achieved greater than 90% sensitivity for 9 cancer types (lung, biliary tract, bladder, colorectal, esophageal, gastric, glioma, pancreatic, and prostate cancers) and 75-84% sensitivity for 3 cancer types (sarcoma, liver, and ovarian cancer), while maintaining greater than 99% specificity. The sensitivity remained to be > 99% for patients with stage 1 lung cancer. Our study provided novel evidence to support the development of an inexpensive and accurate miRNA-based blood test for multi-cancer early detection.

Perceptions of multi-cancer early detection tests among communities facing barriers to health care.

Marginalized racial and ethnic groups and rural and lower income communities experience significant cancer inequities. Blood-based multi-cancer early detection tests (MCEDs) provide a simple and less invasive method to screen for multiple cancers at a single access point and may be an important strategy to reduce cancer inequities. In this qualitative study, we explored barriers and facilitators to MCED adoption among communities facing health care access barriers in Alaska, California, and Oregon. We used reflexive thematic analysis to analyze general barriers to cancer screening, MCED-specific barriers, facilitators of MCED adoption, and MCED communication strategies. We found barriers and facilitators to MCED adoption across 4 levels of the social-ecological model: (1) individual, (2) interpersonal, (3) health care system, and (4) societal. These included adverse psychological impacts, positive perceptions of MCEDs, information and knowledge about cancer screening, the quality of the patient-provider relationship, a lack of health care system trustworthiness, logistical accessibility, patient supports, and financial accessibility. Optimal MCED communication strategies included information spread through the medical environment and the community. These findings underscore the importance of understanding and addressing the multilevel factors that may influence MCED adoption among communities facing health care access barriers to advance health equity.

Pancreatic Juice-Derived microRNA-4516 and microRNA-4674 as Novel Biomarkers for Pancreatic Ductal Adenocarcinoma.

Background and Aims: Precise diagnostic biomarkers are urgently required for pancreatic ductal adenocarcinoma (PDAC). Therefore, the aim of this study was to identify PDAC-specific exosomal microRNAs (Ex-miRs) from pancreatic juice (PJ) and evaluate their diagnostic potential. Methods: Exosomes in PJ and serum were extracted using ultracentrifugation and confirmed morphologically and biochemically. PDAC-specific Ex-miRs were identified using our original miR arrays, in which "Ex-miRs derived from the PJ of patients with chronic pancreatitis (CP)" were subtracted from Ex-miRs commonly expressed in both "human PDAC cell lines" and "the PJ of patients with PDAC." We verified the expression of these miRs using quantitative real-time reverse transcription polymerase chain reaction. Changes in serum Ex-miR levels were assessed in 2 patients with PDAC who underwent curative resection. In situ hybridization was performed to directly visualize PDAC-specific miR expression in cancer cells. Results: We identified novel Ex-miR-4516 and Ex-miR-4674 from the PJ of patients with PDAC, and they showed 80.0% and 81.8% sensitivity, 80.8% and 73.3% specificity, and 90.9% and 80.8% accuracy, respectively. The sensitivity, specificity, and accuracy of a triple assay of Ex-miR-4516/4674/PJ cytology increased to 93.3%, 81.8%, and 88.5%, respectively. In serum samples (n = 88), the sensitivity, specificity, and accuracy of Ex-miR-4516 were 97.5%, 34.3%, and 68%, respectively. Presurgical levels of serum-derived Ex-miR-4516 in 2 patients with relatively early disease stages declined after curative resection. In situ hybridization demonstrated that Ex-miR-4516 expression exclusively occurred in cancer cells. Conclusion: Liquid assays using the in situ-proven Ex-miR-4516 may have a high potential for detecting relatively early-stage PDAC and monitoring its clinical course.

A non-invasive screening method using Caenorhabditis elegans for early detection of multiple cancer types: A prospective clinical study.

Cancer is the second leading cause of death worldwide, according to the World Health Organization, surpassed only by cardiovascular diseases. Early identification and intervention can significantly improve outcomes. However, finding a universal, non-invasive, economical, and precise method for early cancer detection remains a significant challenge. This study explores the efficacy of an innovative cancer detection test, N-NOSE, leveraging a Caenorhabditis elegans olfactory assay on urine samples across a diverse patient group exceeding 1600 individuals diagnosed with various cancers, with samples from the Shikoku Cancer Center (Ehime, Japan) under approved ethical standards. Current cancer screening techniques often require invasive procedures, can be painful or complex, with poor performance, and might be prohibitively costly, limiting accessibility for many. N-NOSE addresses these challenges head-on by offering a test based on urine analysis, eliminating the need for invasive methods, and being more affordable with higher performance at early stages than extensive blood tests or comprehensive body scans for cancer detection. In this study, N-NOSE demonstrated a capability to accurately identify upwards of 20 cancer types, achieving detection sensitivities between 60 and 90 %, including initial-stage cancers. The findings robustly advocate for N-NOSE's potential as a revolutionary, cost-effective, and minimally invasive strategy for broad-spectrum early cancer detection. It is also particularly significant in low- and middle-income countries with limited access to advanced cancer diagnostic methods, which may contribute to the improved outcome of affected individuals.

Circulating tumour DNA analysis for early detection of lung cancer: a systematic review.

Background: Circulating tumor DNA (ctDNA) analysis has been applied in cancer diagnostics including lung cancer. Specifically for the early detection purpose, various modalities of ctDNA analysis have demonstrated their potentials. Such analyses have showed diverse performance across different studies. Methods: We performed a systematic review of original studies published before 1 January 2023. Studies that evaluated ctDNA alone and in combination with other biomarkers for early detection of lung cancer were included. Results: The systematic review analysis included 56 original studies that were aimed for early detection of lung cancer. There were 39 studies for lung cancer only and 17 for pan-cancer early detection. Cancer and control cases included were heterogenous across studies. Different molecular features of ctDNA have been evaluated, including 7 studies on cell-free DNA concentration, 17 on mutation, 29 on methylation, 5 on hydroxymethylation and 8 on fragmentation patterns. Among these 56 studies, 17 have utilised different combinations of the above-mentioned ctDNA features and/or circulation protein markers. For all the modalities, lower sensitivities were reported for the detection of early-stage cancer. Conclusions: The systematic review suggested the clinical utility of ctDNA analysis for early detection of lung cancer, alone or in combination with other biomarkers. Future validation with standardised testing protocols would help integration into clinical care.

Utility of Stool-Based Tests for Colorectal Cancer Detection: A Comprehensive Review.

Colorectal cancer (CRC) is a significant global health issue where early detection is crucial for improving treatment outcomes and survival rates. This comprehensive review assesses the utility of stool-based tests in CRC screening, including traditional fecal occult blood tests (FOBT), both chemical (gFOBT) and immunochemical techniques (FIT), as well as multitarget stool DNA (mt-sDNA) as a novel and promising biomarker. The advancements, limitations and the impact of false positives and negatives of these methods are examined. The review analyzed various studies on current screening methods, focusing on laboratory tests and biomarkers. Findings indicate that while FIT and mt-sDNA tests offer enhanced sensitivity and specificity over traditional guaiac-based FOBT, they also come with higher costs and potential for increased false positives. FIT shows better patient adherence due to its ease to use, but incorrect usage and interpretation of FOBT can lead to significant diagnostic errors. In conclusion, despite the improvements in FOBT methods like FIT in CRC detection, careful consideration of each method's benefits and drawbacks is essential. Effective CRC screening programs should combine various methods tailored to specific population needs, aiming for early detection and reduced mortality rates.

TOTEM: a multi-cancer detection and localization approach using circulating tumor DNA methylation markers.

BACKGROUND: Detection of cancer and identification of tumor origin at an early stage improve the survival and prognosis of patients. Herein, we proposed a plasma cfDNA-based approach called TOTEM to detect and trace the cancer signal origin (CSO) through methylation markers. METHODS: We performed enzymatic conversion-based targeted methylation sequencing on plasma cfDNA samples collected from a clinical cohort of 500 healthy controls and 733 cancer patients with seven types of cancer (breast, colorectum, esophagus, stomach, liver, lung, and pancreas) and randomly divided these samples into a training cohort and a testing cohort. An independent validation cohort of 143 healthy controls, 79 liver cancer patients and 100 stomach cancer patients were recruited to validate the generalizability of our approach. RESULTS: A total of 57 multi-cancer diagnostic markers and 873 CSO markers were selected for model development. The binary diagnostic model achieved an area under the curve (AUC) of 0.907, 0.908 and 0.868 in the training, testing and independent validation cohorts, respectively. With a training specificity of 98%, the specificities in the testing and independent validation cohorts were 100% and 98.6%, respectively. Overall sensitivity across all cancer stages was 65.5%, 67.3% and 55.9% in the training, testing and independent validation cohorts, respectively. Early-stage (I and II) sensitivity was 50.3% and 45.7% in the training and testing cohorts, respectively. For cancer patients correctly identified by the binary classifier, the top 1 and top 2 CSO accuracies were 77.7% and 86.5% in the testing cohort (n = 148) and 76.0% and 84.0% in the independent validation cohort (n = 100). Notably, performance was maintained with only 21 diagnostic and 214 CSO markers, achieving a training AUC of 0.865, a testing AUC of 0.866, and an integrated top 2 accuracy of 83.1% in the testing cohort. CONCLUSIONS: TOTEM demonstrates promising potential for accurate multi-cancer detection and localization by profiling plasma methylation markers. The real-world clinical performance of our approach needs to be investigated in a much larger prospective cohort.

Facing an un-met need in lung cancer screening: The never smokers.

Lung cancer (LC) is the leading cause of cancer-related deaths worldwide and the second most common cancer in both men and women. In addition to smoking, other risk factors, such as environmental tobacco smoke, air pollution, biomass combustion, radon gas, occupational exposure, lung disease, family history of cancer, geographic variability, and genetic factors, play an essential role in developing LC. Current screening guidelines and eligibility criteria have limited efficacy in identifying LC cases (50 %), as most screening programs primarily target subjects with a smoking history as the leading risk factor. Implementing LC screening programs in people who have never smoked (PNS) can significantly impact cancer-specific survival and early disease detection. However, the available evidence regarding the feasibility and effectiveness of such programs is limited. Therefore, further research on LC screening in PNS is warranted to determine the necessary techniques for accurately identifying individuals who should be included in screening programs.

Physicians' perception on using a multi-cancer early detection blood test to reduce disparities in cancer screening.

 INTRODUCTION: Cancer causes significant morbidity and mortality in the United States. It is the second most common cause of death in the United States, after heart disease. African Americans are disproportionately affected by malignancy, with overall higher death rates compared to other racial and ethnic groups. Screening tests can identify early stage malignancy allowing for timely intervention. However, African Americans less frequently undergo cancer screening. Advancement in genomic technology has led to the identification of signals for cancer in the blood. This has resulted in the development of multi-cancer early detection (MCED) tests which evaluate for circulating cell-free DNA (cfDNA). This study evaluated physicians' perception of the use of a multi-cancer early detection test (MCED). METHODS: An anonymous, 29 question survey was administered to African American / Black physicians and medical students. Survey participants were identified through the National Medical Association and other professional organizations that included primarily African American physicians. Surveys were excluded from analysis if respondent was non-African American / Black or was not a physician or medical student. The survey collected physician demographics, percentage of African American / Black patients in their practice, patient barriers to screening, potential use of MCED tests and factors influencing decision to recommend testing. Descriptive statistics were generated. Additional analysis was performed using Chi-Square with statistical significance set at p-value <0.05. The survey was pilot tested for reliability and validity. RESULTS: 1196 (681 female, 515 male) physicians and medical students completed the survey. 95.8 % were physicians who were or had been in clinical practice. Fifty-three percent of physicians reported that >40 % of their patients were African American / Black. Barriers to cancer screening included lack of understanding of the importance (33.8 %), lack of or limited insurance coverage (23.5 %), socioeconomic factors unrelated to insurance coverage (16.2 %), fear of cancer (8.8 %), history of racism and bias in the health care system (7.4 %) with 8.8 % reporting 'other' and 1.5 % reporting no perceived barriers. There was a significant difference (p<0.03) in the rate that physicians' perceived racism and bias in the health care system as barrier for cancer screening in African American / Black patients when compared to other patients. Most physicians and medical students indicated that a MCED test would benefit all patients (86.8 %), would encourage further cancer screening tests (83.8 %), and would be beneficial for minority and under-represented patients regardless of socioeconomics or health care access (83.8 %). Seventy-five percent of survey respondents indicated that a MCED test would be beneficial in promoting further cancer screening and early detection in African American / Black patients. Factors that would impact the ordering of an MCED test included scientific evidence and test validity (63.2 %), efficiency, accessibility, ease of ordering and ease of receiving results (11.8 %), insurance coverage (13.2 %) and 'other factors' (11.8 %). DISCUSSION: This is one of the largest surveys to assess physicians' perceptions about MCED testing and is the first study to evaluate the perspectives of African American physicians. It offers insight about physician acceptance and potential incorporation of MCED into clinical practice. It is important that a multifaceted approach is employed to improve cancer outcomes and reduce disparities in survival. MCED tests, a relatively new advancement in genomic technology, have the potential to be an important component in cancer screening strategies.