Utilizing geospatial artificial intelligence to map cancer disparities across health regions.

We have developed an innovative tool, the Intelligent Catchment Analysis Tool (iCAT), designed to identify and address healthcare disparities across specific regions. Powered by Artificial Intelligence and Machine Learning, our tool employs a robust Geographic Information System (GIS) to map healthcare outcomes and disease disparities. iCAT allows users to query publicly available data sources, health system data, and treatment data, offering insights into gaps and disparities in diagnosis and treatment paradigms. This project aims to promote best practices to bridge the gap in healthcare access, resources, education, and economic opportunities. The project aims to engage local and regional stakeholders in data collection and evaluation, including patients, providers, and organizations. Their active involvement helps refine the platform and guides targeted interventions for more effective outcomes. In this paper, we present two sample illustrations demonstrating how iCAT identifies healthcare disparities and analyzes the impact of social and environmental variables on outcomes. Over time, this platform can help communities make decisions to optimize resource allocation.

The value of intratumoral microbiota in the diagnosis and prognosis of tumors.

Intratumoral microbiota (ITM) are microorganisms present in tumor cells. ITM participate in tumor development by affecting tumor cells directly and the tumor microenvironment (TME), indirectly. Alterations in ITM instigate changes in tumor DNA, activate oncogenic pathways, induce tumor inflammatory responses, disrupt normal immune activity, and facilitate the secretion of effectors leading to tumor progression, metastasis, or diminished therapeutic effects. ITM varies significantly in different types of cancer cells and disease states. The presence of certain ITM serves as a predictor of various disease states. Thus, ITM predicts tumorigenesis, tumor grade, treatment efficacy, and prognosis, making it a potential tumor biomarker. The present study aimed to determine the mechanisms by which ITM affects tumor development, especially through the TME; highlight the significant potential of ITM in enhancing tumor diagnosis and prognosis; and outline future directions for ITM research, with a focus on the development of innovative tumor markers.

The 3D Revolution in Cancer Discovery.

SUMMARY: The transition from 2D to 3D spatial profiling marks a revolutionary era in cancer research, offering unprecedented potential to enhance cancer diagnosis and treatment. This commentary outlines the experimental and computational advancements and challenges in 3D spatial molecular profiling, underscoring the innovation needed in imaging tools, software, artificial intelligence, and machine learning to overcome implementation hurdles and harness the full potential of 3D analysis in the field.

Have the recent advancements in cancer therapy and survival benefitted patients of all age groups across the Nordic countries? NORDCAN survival analyses 2002-2021.

BACKGROUND: Since the early 2000s, overall and site-specific cancer survival have improved substantially in the Nordic countries. We evaluated whether the improvements have been similar across countries, major cancer types, and age groups. MATERIAL AND METHODS: Using population-based data from the five Nordic cancer registries recorded in the NORDCAN database, we included a cohort of 1,525,854 men and 1,378,470 women diagnosed with cancer (except non-melanoma skin cancer) during 2002-2021, and followed for death until 2021. We estimated 5-year relative survival (RS) in 5-year calendar periods, and percentage points (pp) differences in 5-year RS from 2002-2006 until 2017-2021. Separate analyses were performed for eight cancer sites (i.e. colorectum, pancreas, lung, breast, cervix uteri, kidney, prostate, and melanoma of skin). RESULTS: Five-year RS improved across nearly all cancer sites in all countries (except Iceland), with absolute differences across age groups ranging from 1 to 21 pp (all cancer sites), 2 to 20 pp (colorectum), -1 to 36 pp (pancreas), 2 to 28 pp (lung), 0 to 9 pp (breast), -11 to 26 pp (cervix uteri), 2 to 44 pp (kidney), -2 to 23 pp (prostate) and -3 to 30 pp (skin melanoma). The oldest patients (80-89 years) exhibited lower survival across all countries and sites, although with varying improvements over time. INTERPRETATION: Nordic cancer patients have generally experienced substantial improvements in cancer survival during the last two decades, including major cancer sites and age groups. Although survival has improved over time, older patients remain at a lower cancer survival compared to younger patients.

Proposal of model for personalized early adapted cancer screening in people living with HIV: experience of "Gaetano Martino" Hospital University of Messina.

Human immunodeficiency virus (HIV) infection has historically been related to the development of specific cancers, some of which are so closely linked to the infection, such as Kaposi's Sarcoma (KS), that they have earned the name Acquired Immuno-Deficiency Syndrome (AIDS)-defining cancers (ADCs). While the development of antiretroviral therapy (ART) has decreased the incidence of AIDS-defining cancers, the resulting aging of people living with HIV (PLWH) highlighted an increased occurrence of other forms of cancer. At the "Gaetano Martino" hospital in Messina, we developed a multidisciplinary approach by creating a bridge between the Oncology Unit and the Infectious Diseases Unit to carry out screening and a more rapid diagnostic and therapeutic journey for cancers in PLWH. The goal is to improve the diagnosis of various types of cancer by involving other professionals, such as gastroenterologists and gynecologists, to ensure faster access to treatment and, therefore, a greater chance of survival. In addition, our multidisciplinary approach has also included vaccine screening, offered by the "Gaetano Martino" hospital and useful for preventing the development of specific forms of cancer in the entire population and particularly in PLWH.

Development and Evaluation of a Multisource Approach to Extend Mortality Follow-Up for Older Adults With Advanced Cancer Enrolled in Randomized Trials.

PURPOSE: Mortality data can complement primary end points from cancer clinical trials. Yet, identifying deaths after trial completion is challenging, as timely and comprehensive vital status data are unavailable in the United States. We developed and evaluated a multisource approach to capture death data after clinical trial completion. METHODS: Individuals age 70 years and older with incurable solid tumors or lymphoma and ≥1 aging-related condition were enrolled from October 2014 to March 2019 (ClinicalTrials.gov identifier: NCT02107443 and NCT02054741). Participants provided consent to link trial information to external sources. We developed a stepped approach for extended death capture using (1) active trial follow-up up to 1 year, (2) linkage to the National Death Index (NDI), and (3) obituary searches, thus generating a 5-year survival curve. In a random sample of 50 participants who died during trial follow-up, we estimated sensitivity of death data using NDI and obituary sources and computed survival times by data source. RESULTS: The two trials enrolled 1,169 participants; mean age was 76 years; 46% were female; and gastrointestinal cancer (30%) and lung cancer (26%) were the most common cancer types. Across data sources, maximum follow-up was >7 years; 5-year survival was 18%. In total, there were 841 deaths: 603 identified during trial follow-up; 199 from the NDI; and 39 from obituary searches. The sensitivity for death capture was 92% for the NDI and 94% for the obituary searches compared with the trial data, and computed survival times were similar across data sources. CONCLUSION: Extending clinical trial mortality follow-up through linkage with external data sources was feasible and accurate. Future cancer clinical trials should collect necessary consent and patient identifiers for vital status linkages that can enhance understanding of longer-term outcomes.

Service Evaluation of MyChristie-MyHealth, an Electronic Patient-Reported Outcome Measure Integrated Into Clinical Cancer Care.

PURPOSE: Electronic patient-reported outcome measures (ePROMs) are digitalized health questionnaires used to gauge patients' subjective experience of health and disease. They are becoming prevalent in cancer care and have been linked to a host of benefits including improved survival. MyChristie-MyHealth is the ePROM established at the Christie NHS Foundation Trust in 2019. We conducted an evaluation of this service to understand user experiences, as well as strategies to improve its functioning. METHODS: Data collection: Patients who had opted never to complete MyChristie-MyHealth (n = 87), and those who had completed at least one (n = 87) were identified. Demographic data included age, sex, ethnicity, postcode, diagnosis, treatment intent, and trial status. Semistructured interviews were held with noncompleters (n = 30) and completers (n = 31) of MyChristie-MyHealth, as well as clinician users (n = 6), covering themes such as accessibility, acceptability and usefulness, and open discourse on ways in which the service could be improved. RESULTS: Noncompleters of MyChristie-MyHealth were older (median age 72 v 66 years, P = .005), receiving treatment with curative rather than palliative intent (odds ratio [OR], 1.45; P = .045), and less likely to be enrolled on a clinical trial (OR, 0.531; P = .011). They were less likely to own a smartphone (33% v 97%) or have reliable Internet access (45% v 100%). Satisfaction with MyChristie-MyHealth was high in both groups: 93% (n = 29) of completers and 87% (n = 26) noncompleters felt generally happy to complete. Completers of MyChristie-MyHealth wanted their results to be acknowledged by their clinicians. Clinicians wanted results to be displayed in a more user-friendly way. CONCLUSION: We have broadly characterized noncompleters of the Christie ePROM to identify those in need of extra support or encouragement in the clinic. An action plan resulting from this review has been compiled and will inform the future development of MyChristie-MyHealth.

EpiDiP/NanoDiP: a versatile unsupervised machine learning edge computing platform for epigenomic tumour diagnostics.

DNA methylation analysis based on supervised machine learning algorithms with static reference data, allowing diagnostic tumour typing with unprecedented precision, has quickly become a new standard of care. Whereas genome-wide diagnostic methylation profiling is mostly performed on microarrays, an increasing number of institutions additionally employ nanopore sequencing as a faster alternative. In addition, methylation-specific parallel sequencing can generate methylation and genomic copy number data. Given these diverse approaches to methylation profiling, to date, there is no single tool that allows (1) classification and interpretation of microarray, nanopore and parallel sequencing data, (2) direct control of nanopore sequencers, and (3) the integration of microarray-based methylation reference data. Furthermore, no software capable of entirely running in routine diagnostic laboratory environments lacking high-performance computing and network infrastructure exists. To overcome these shortcomings, we present EpiDiP/NanoDiP as an open-source DNA methylation and copy number profiling suite, which has been benchmarked against an established supervised machine learning approach using in-house routine diagnostics data obtained between 2019 and 2021. Running locally on portable, cost- and energy-saving system-on-chip as well as gpGPU-augmented edge computing devices, NanoDiP works in offline mode, ensuring data privacy. It does not require the rigid training data annotation of supervised approaches. Furthermore, NanoDiP is the core of our public, free-of-charge EpiDiP web service which enables comparative methylation data analysis against an extensive reference data collection. We envision this versatile platform as a useful resource not only for neuropathologists and surgical pathologists but also for the tumour epigenetics research community. In daily diagnostic routine, analysis of native, unfixed biopsies by NanoDiP delivers molecular tumour classification in an intraoperative time frame.

UBE2C: A pan-cancer diagnostic and prognostic biomarker revealed through bioinformatics analysis.

BACKGROUND: The diverse and complex attributes of cancer have made it a daunting challenge to overcome globally and remains to endanger human life. Detection of critical cancer-related gene alterations in solid tumor samples better defines patient diagnosis and prognosis, and indicates what targeted therapies must be administered to improve cancer patients' outcome. MATERIALS AND METHODS: To identify genes that have aberrant expression across different cancer types, differential expressed genes were detected within the TCGA datasets. Subsequently, the DEGs common to all pan cancers were determined. Furthermore, various methods were employed to gain genetic alterations, co-expression genes network and protein-protein interaction (PPI) network, pathway enrichment analysis of common genes. Finally, the gene regulatory network was constructed. RESULTS: Intersectional analysis identified UBE2C as a common DEG between all 28 types of studied cancers. Upregulated UBE2C expression was significantly correlated with OS and DFS of 10 and 9 types of cancer patients. Also, UBE2C can be a diagnostic factor in CESC, CHOL, GBM, and UCS with AUC = 100% and diagnose 19 cancer types with AUC ≥90%. A ceRNA network constructed including UBE2C, 41 TFs, 10 shared miRNAs, and 21 circRNAs and 128 lncRNAs. CONCLUSION: In summary, UBE2C can be a theranostic gene, which may serve as a reliable biomarker in diagnosing cancers, improving treatment responses and increasing the overall survival of cancer patients and can be a promising gene to be target by cancer drugs in the future.

[Current Status and Regulatory Issues of Companion Diagnostics in Japan].

Companion diagnostics(CDx)are in vitro diagnostic products that are used to predict the efficacy and adverse effects of therapeutic drugs prior to administration, and are co-developed and co-approved with the therapeutic drugs in principle. In Japan, 40 CDx products have been approved by January 2024, and 39 products are used to determine if therapeutic drugs are applicable for cancer treatment. In the CDx products for cancer treatment, PCR, immunohistochemistry, or in situ hybridization is used to clarify the mutations(point mutations, insertions/deletions, fusions, etc.)in cancer-related genes or the expression levels of cancer-related molecules in the cancer tissues. The results of the analysis determine whether a particular therapeutic drug could be used or not for the treatment of the corresponding patient. Recently, several next-generation sequencing(NGS)-based CDx products have been approved and utilized for cancer treatment. The rise of NGS-based diagnostics has made it possible to comprehensively analyze mutations in many cancer-related genes in a single test and to determine whether each of several therapeutic drugs is applicable to the patient at once. On the other hand, with the increase in the number of CDx products, several regulatory issues have arisen, including an issue related to the co-development of CDx and a therapeutic drug and an issue related to the interchangeable use of CDx products that detect the same mutations of the cancer-related genes. The revision of CDx-related guidance is being considered in Japan and overseas in response to this situation.

[Molecular Pathology Diagnosis as Companion Diagnostics].

As genomic medicine advances, opportunities for molecular pathology diagnosis by pathologists to be used as companion diagnostics is increasing. Pathological specimens must be useful not only for pathological diagnosis, but also for genetic testing panel and molecular pathology diagnosis. Companion diagnostics performed by pathologists uses immunohistochemical staining and fluorescence in situ hybridization to determine patient eligibility for molecular target drugs and immune checkpoint inhibitors. By accurately observing a wide variety of diagnostic criteria and performing with high precision, pathological diagnosis will become closer to therapeutic pathology.

[Current Status and Issues of Companion Diagnostics in Cancer Genomic Medicine].

As of December 2023, there are 5 types of cancer gene panel tests covered by public insurance in Japan. Four of them partly feature companion diagnostics. When cancer gene panel test is used for the purpose of comprehensive gene profiling (CGP), a total of 56,000 points(44,000 points for the test administration fee and 12,000 points for the expert panel fee) can be claimed, whereas if the cancer gene panel test is used for the purpose of companion diagnostics, hospitals can claim only the reimbursement as a companion diagnostics, which fee is much cheaper than that of CGP. Therefore, cancer gene panel tests are rarely used as a companion diagnosis in daily clinical practice. Even when the test is performed as a CGP test, since its indication is limited to patients who have completed or are expected to complete standard chemotherapy, most biomarkers associated with approved drugs are already evaluated with stand-alone companion diagnostics at the time of CGP test application. On the other hand, there are some approved drugs, such as pembrolizumab for TMB-H or entrectinib or larotrectinib for NTRK fusion gene, for which there is no stand-alone companion diagnostics and the eligibility for these drugs cannot be judged without the results of CGP test. This paper discusses the current status and issues of companion diagnostics in cancer genomic medicine.

Impact of the COVID-19 pandemic in childhood and adolescent cancer care in northern Tanzania: a cross-sectional study.

INTRODUCTION: The SARS-CoV-2 (COVID-19) pandemic has strained healthcare systems and presented unique challenges for children requiring cancer care, particularly in low- and middle-income countries. This study aimed to assess the impact of the COVID-19 pandemic on access to cancer care for children and adolescents in Northern Tanzania. METHODS: In this cross-sectional study, we assessed the demographic and clinical characteristics of 547 pediatric and adolescent cancer patients (ages 0-19 years old) between 2016 and 2022 using the population-based Kilimanjaro Cancer Registry (KCR). We categorized data into pre-COVID-19 (2016-2019) and COVID-19 (2020-2022) eras, and performed descriptive analyses of diagnostic, treatment, and demographic information. A secondary analysis was conducted on a subset of 167 patients with stage of diagnosis at presentation. RESULTS: Overall admissions nearly doubled during the pandemic (n = 190 versus 357). The variety of diagnoses attended at KCMC increased during the pandemic, with only five groups of diseases reported in 2016 to twelve groups of diseases in 2021. Most patients were diagnosed at a late stage (stage III or IV) across eras, with the proportion of under-five years old patients increasing late-diagnoses from 29.4% (before the pandemic), 52.8% (during the pandemic), when compared to the overall cohort. Around 95% of children in this age category reported late-stage diagnosis during the pandemic. Six out of the twelve cancer site groups also reported an increase in late-stage diagnosis. During the pandemic, the proportion of children receiving surgery increased from 15.8 to 30.8% (p < 0.001). CONCLUSION: Childhood and adolescent cancer care changed in Northern Tanzania during the COVID-19 pandemic, with increased late-stage diagnoses presentations among younger patients and the increased use of surgical therapies in the context of a growing practice. Understanding the impact of the COVID-19 pandemic on pediatric and adolescent cancer care can help us better adapt healthcare systems and interventions to the emerging needs of children and adolescents with cancer in the midst of a health crisis.

A Self-Powered Lactate Sensor Based on the Piezoelectric Effect for Assessing Tumor Development.

The build-up of lactate in solid tumors stands as a crucial and early occurrence in malignancy development, and the concentration of lactate in the tumor microenvironment may be a more sensitive indicator for analyzing primary tumors. In this study, we designed a self-powered lactate sensor for the rapid analysis of tumor samples, utilizing the coupling between the piezoelectric effect and enzymatic reaction. This lactate sensor is fabricated using a ZnO nanowire array modified with lactate oxidase (LOx). The sensing process does not require an external power source or batteries. The device can directly output electric signals containing lactate concentration information when subjected to external forces. The lactate concentration detection upper limit of the sensor is at least 27 mM, with a limit of detection (LOD) of approximately 1.3 mM and a response time of around 10 s. This study innovatively applied self-powered technology to the in situ detection of the tumor microenvironment and used the results to estimate the growth period of the primary tumor. The availability of this application has been confirmed through biological experiments. Furthermore, the sensor data generated by the device offer valuable insights for evaluating the likelihood of remote tumor metastasis. This study may expand the research scope of self-powered technology in the field of medical diagnosis and offer a novel perspective on cancer diagnosis.

[Molecular pathological analysis through the ages]. / Molekularpathologische Untersuchungen im Wandel der Zeit.

BACKGROUND: Molecular pathological examinations of tumor samples encompass a wide range of diagnostic analyses. Especially in recent years, numerous new biomarkers have come to the forefront-the analysis of which is crucial for therapy decisions. OBJECTIVES: Within the field of molecular pathology, the demands of next generation sequencing (NGS)-based requirements have experienced massive growth in recent years. To meet this demand, methods are constantly being adapted and further developed. The following sections aim to illuminate how this trend arises and which analyses are gaining importance. METHODS: The article provides an overview of the essential nucleic acid-based analysis techniques in the field of massive parallel sequencing. Terms such as DNA- and RNA-based techniques, as well as the associated analysis methods, are described, particularly with regard to their use in routine molecular pathological diagnostics. RESULTS: The breadth of genomic sequencing has been steadily growing in recent years, particularly due to the increasing relevance of personalized medicine, along with the rising approvals of targeted therapeutics. This necessitates, among other things, the analysis of new biomarkers. The diagnostics as part of interdisciplinary molecular tumor boards (MTB) are now based on large gene panels (> 1 megabase). Furthermore, through the "Modellvorhaben Genomsequenzierung" § 64e, whole exome or whole genome sequencing has been made available for oncological patients. Given these developments, it is evident that future analyses will require the integration of additional omics fields, such as whole transcriptome analysis, epigenomics, and proteomics. CONCLUSION: The challenges of personalized medicine along with the necessity of simultaneously assessing numerous new biomarkers require the implementation and execution of new techniques in molecular pathology whose complexity is steadily increasing.

Relevance of blood tumor markers in inpatients with significant involuntary weight loss and elevated levels of inflammation biomarkers.

PURPOSE: To assess the diagnostic performance of a panel of standard tumor markers (TMs) in patients hospitalized with significant involuntary weight loss (IWL) and elevated levels of inflammation biomarkers, and a combination of the TM panel and the finding of the computed tomography (CT) scan. METHODS: We conducted a retrospective study in the internal medicine department at Amiens-Picardie University Medical Center (Amiens, France) between January 1st, 2015, and November 1st, 2021. The inclusion criteria were age 18 or over, significant IWL (≥ 5 kg over 6 months), elevated inflammation biomarkers (e.g. C-reactive protein), and assay data on two or more standard TMs (carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 19 - 9, CA 15 - 3, CA 125, neuron-specific enolase (NSE), alpha-fetoprotein (AFP), calcitonin, and prostate-specific antigen (PSA)). The result of each TM assay was interpreted qualitatively (as positive or negative), according to our central laboratory's usual thresholds. RESULTS: Cancer was diagnosed in 50 (37.0%) of the 135 patients included. Positivity for one or more TMs had a positive predictive value (PPV) of 0.55 [0.43-0.66], and a negative predictive value (NPV) of 0.84 [0.75-0.93] for cancer diagnosis. When combined with the presence of suspicious CT findings (e.g. a mass, enlarged lymph nodes and/or effusion), positivity for one or more TMs had a PPV of 0.92 [0.08-0.30]. In the absence of suspicious CT findings, a fully negative TM panel had an NPV of 0.96 [0.89-1.00]. CONCLUSION: A negative TM panel argues against the presence of a cancer, especially in the absence of suspicious CT findings.

Performance of Distress Thermometer: A Study among Cancer Patients.

BACKGROUND: The Distress Thermometer accompanied with Problems List is a commonly used screening tool for psychosocial distress. However, it's cut-off score, performance and risk factors for psychosocial distress varies among studies. This is the first study conducted in Nepal to investigate the Distress Thermometer's screening properties, its optimal cut-off score and evaluating the prevalence of psychosocial distress and its risk factors. METHODS: This cross-sectional study enrolled 162 heterogeneous cancer patients. The English form of the Distress Thermometer was translated to Nepali using a forward and backward translation method. Questionnaires including socio-demographic, clinical characteristics, the Hospital Anxiety and Depression Scale and Distress Thermometer accompanied with Problems List were filled. Receiver Operating Characteristic analysis of distress thermometer scores was evaluated against Hospital Anxiety and Depression Scale-Total (≥15). An Area Under the Curve, sensitivity, specificity, positive predictive value and negative predictive value were calculated at each Distress Thermometer cut-off score. RESULTS: Receiver Operating Characteristic analysis showed an excellent discriminating performance (Area Under the Curve =87.4%). A cut-off score of 4 on Distress Thermometer was established and it yielded sensitivity (88.9%), specificity (71.1%), positive predictive value (75.4%) and negative predictive value (86.5%) respectively. Furthermore, 55.6% of participants were distressed and emotional problems (odd ratio = 28.00), practical problems (odd ratio = 12.152) and physical problems (odd ratio = 2.397) were found to be significant risk factors for PD. CONCLUSIONS: PD is a global burden in cancer patients. The DT with a cut-off score of 4 accompanied with PL is valid instrument for screening PD in Nepali cancer patients. PL identified the problems that causes of PD.

Highly sensitive lanthanide complex as a probe for l-kynurenine: A cancer biomarker.

A lanthanide complex based on europium (Eu) and chelidamic acid was synthesized (Eu-CHE) and characterized. The complex Eu-CHE exhibited intense luminescence at 615 nm under excitation at 300 nm and was further investigated for highly sensitive turn-off detection of l-kynurenine (l-kyn), a cancer biomarker. The probe detected l-kyn linearly from 6 nM to 0.2 µM with a limit of detection and limit of quantification of 1.37 and 4.57 nM, respectively. The probe was investigated for selectivity towards l-kyn among co-existing amino acids and further extended for detecting l-kyn from human serum and urine samples. A low-cost paper strip-based sensing platform was also developed for the visual detection of l-kyn.

Risk Burden of Cancer in Patients Treated With Abbreviated Dual Antiplatelet Therapy After PCI: Analysis of Multicenter Controlled High-Bleeding Risk Trials.

BACKGROUND: Oncological patients with coronary artery disease face an elevated risk of hemorrhagic and ischemic events following percutaneous coronary intervention. Despite medical guidelines recommending minimal dual antiplatelet therapy (DAPT) duration for patients with cancer, dedicated data on abbreviated DAPT in this population is lacking. This study aims to evaluate the occurrence of ischemic and hemorrhagic events in patients with cancer compared with other high-bleeding risk individuals. METHODS: Patient-level data from 4 high-bleeding risk coronary drug-eluting stent studies (ONYX One, LEADERS FREE, LEADERS FREE II, and SENIOR trials) treated with short DAPT were analyzed. The comparison focused on patients with high-bleeding risk with and without cancer, assessing 1-year rates of net adverse clinical events (all-cause death, myocardial infarction, stroke, revascularization, and Bleeding Academic Research Consortium [BARC] types 3 to 5 bleeding) and major adverse clinical events (all-cause death, myocardial infarction, stroke). RESULTS: A total of 5232 patients were included, of whom 574 individuals had cancer, and 4658 were at high-bleeding risk without previous cancer. Despite being younger with fewer risk factors, patients with cancer had higher net adverse clinical event (HR, 1.25; P=0.01) and major adverse clinical event (HR, 1.26; P=0.02), primarily driven by all-cause mortality and major bleeding (BARC 3-5), but not myocardial infarction, stroke, stent thrombosis, or repeat revascularization. Cancer was an independent predictor of net adverse clinical event (P=0.005), major adverse clinical event (P=0.01), and major bleeding (P=0.03). CONCLUSIONS: The present work is the first report on abbreviated DAPT dedicated to patients with cancer. Cancer is a major marker of adverse outcomes and these events had high lethality. Despite short DAPT, patients with cancer experienced higher rates of major bleeding compared with patients without cancer with high-bleeding risk, which occurred mainly after DAPT discontinuation. These findings reinforce the need for a more detailed and individualized stratification of those patients. REGISTRATION: URL: https://www.clinicaltrials.gov; Unique identifiers: NCT03344653, NCT01623180, NCT02843633, NCT0284.