Cancer Research Articles

Comparison of hemodynamic responses to nasal intubation in cancer patients receiving opioid-free general anesthesia versus standard regimen

Comparison of hemodynamic responses to nasal intubation in cancer patients receiving opioid-free general anesthesia versus standard regimen

A PSMA-targeted Tri-specific Killer Engager enhances NK cell cytotoxicity against prostate cancer.

Natural killer (NK) cell tumor infiltration is associated with good prognosis in patients with metastatic castration-resistant prostate cancer (mCRPC). NK cells recognize and kill targets by a process called natural cytotoxicity. We hypothesized that promoting an antigen-specific synapse with co-activation may enhance NK cell function in mCRPC. We describe a Tri-specific Killer Engager (TriKE) construct that engages with the activating receptor CD16 on NK cells, prostate-specific membrane antigen (PSMA) on mCRPC cells, and has an interleukin (IL)-15 moiety that is essential for NK cell survival, proliferation, and priming. We show that the PSMA TriKE specifically binds to PSMA-expressing cells and significantly enhances expansion, degranulation and cytokine production of NK cells derived from healthy donors or prostate cancer patients. Bystander killing of PSMA-negative was also achieved with PSMA TriKE treatment when co-cultured with PSMA-positive cells, suggesting potential PSMA TriKE benefit in controlling tumor antigen escape. When tested under physiologic conditions recapitulating the mCRPC tumor microenvironment (TME), NK cells treated with PSMA TriKE and prolonged exposure to hypoxia or MDSCs maintained their potent function while IL-15 treated NK cells showed greatly impaired cytotoxicity. Finally, in vivo testing of PSMA TriKE showed improved tumor control and survival of mice as compared to IL-15 and untreated control groups. In conclusion, PSMA TriKE demonstrates potential as a new therapy for advanced prostate cancer by providing additional signals to NK cells to maximize their anti-tumor potential in prostate cancer, especially in the setting of a hostile TME.

The effect of exergame rehabilitation on the quality of life of cancer patients undergoing abdominal surgery: a randomized controlled trial.

Exergames, which combine digital games and physical exercise, have become increasingly popular for rehabilitation in the health domain. This study aimed to assess the effectiveness of exergame rehabilitation on the quality of life of cancer patients undergoing abdominal surgery. This randomized controlled trial evaluated the effectiveness of exergame rehabilitation on the quality of life of cancer patients who had undergone abdominal surgery. Seventy postoperative patients were included, and data collection took place between January 2023 and May 2023. The patients were randomly assigned to either an exergame rehabilitation program (n = 35) or a traditional rehabilitation program (n = 35). The assessed outcome was the quality of life, and data collection occurred at three different time points: upon admission, 48h postoperatively, and on the 7th day after surgery. Quality of life was evaluated using the WHOQOL-BREF Scale. At the third assessment, a statistically significant difference was observed between the two groups (p = 0.016), indicating that the intervention group had a higher quality of life than the control group. The study showed a positive effect of exergames on the population under investigation. By the 7th day after surgery, the intervention group demonstrated an improvement in their quality of life compared to the control group. Center of Open Science OSF https://osf.io/286zb/ , registered in July, 2023.

The effect of cancer and cancer treatment on attention control: evidence from anti-saccade performance.

Cancer and cancer treatment have been associated with cognitive changes in survivorship, with forgetfulness and distractibility reported years post-treatment. Deficits in attention control may explain these difficulties. We assessed breast cancer survivors using a primary measure of attention control, the saccade/antisaccade task, to assess the effects of diagnosis and treatment. Saccade performance was studied in a cohort of breast cancer patients at two time points, (1) after surgery before adjuvant treatment and (2) approximately 2years after enrollment, and compared to non-cancer controls. Saccade performance was assessed in a prosaccade task as well as in visually guided and unguided antisaccade tasks. We assessed the frequency of directional errors and saccadic reaction time. Survivors were more likely than controls to make directional errors in an unguided antisaccade task, with older survivors exhibiting the most significant difficulties following adjuvant treatment. Survivor and control performance were much more similar in a visually guided antisaccade task. These results indicate a main effect of cancer diagnosis on attention control, with greater deficits following treatment and in older survivors. Deficits in attention control may lead to greater difficulties in the initial learning of information, explaining reports of forgetfulness in survivors. These findings underscore the enduring impact of cancer and its treatment on attention control, particularly highlighting that older breast cancer survivors may experience more pronounced difficulties with inhibitory control in daily life. Antisaccade performance may provide a useful metric for quantifying this impact.

Enhancing bone metastasis prediction in prostate cancer using quantitative mpMRI features, ISUP grade and PSA density: a machine learning approach.

Bone metastasis is a critical complication in prostate cancer, significantly impacting patient prognosis and quality of life. This study aims to enhance bone metastasis prediction using machine learning (ML) techniques by integrating dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) perfusion features, International Society of Urological Pathology (ISUP) grade, and prostate-specific antigen (PSA) density. A retrospective analysis was conducted on 122 patients with histopathologically confirmed prostate cancer who underwent multiparametric prostate magnetic resonance imaging (mpMRI). Quantitative mpMRI features, PSA density, and ISUP grades were extracted and normalized. The dataset was balanced using oversampling and divided into training (70%) and test (30%) sets. Various ML models were developed and evaluated using area under the curve (AUC) metrics. Bone metastases were present in 26 patients (21.3%) at diagnosis. IAUGC and MaxSlope showed a statistically significant association with bone metastasis (p = 0.035, p = 0.050 respectively). The optimal PSA density cut-off value of 0.24 yielded a sensitivity of 0.88, specificity of 0.60, and AUC of 0.77. Machine learning models were developed using the dataset created with IAUGC, MaxSlope, ISUP grade, and PSA density values. Among the ML models, XGBoost demonstrated superior performance with validation and test AUCs of 91.5% and 92.6%, respectively, along with high precision (93.3%) and recall (93.1%). Integrating quantitative mpMRI features, ISUP grade, and PSA density through machine learning algorithms, particularly XGBoost, significantly improves the accuracy of bone metastasis prediction in prostate cancer patients. This approach can potentially reduce the need for additional imaging modalities and associated radiation exposure.

A New Breast Cancer Discovery Strategy: A Combined Outlier Rejection Technique and an Ensemble Classification Method

Annually, many people worldwide lose their lives due to breast cancer, making it one of the most prevalent cancers in the world. Since the disease is becoming more common, early detection of breast cancer is essential to avoiding serious complications and possibly death as well. This research provides a novel Breast Cancer Discovery (BCD) strategy to aid patients by providing prompt and sensitive detection of breast cancer. The two primary steps that form the BCD are the Breast Cancer Discovery Step (BCDS) and the Pre-processing Step (P2S). In the P2S, the needed data are filtered from any non-informative data using three primary operations: data normalization, feature selection, and outlier rejection. Only then does the diagnostic model in the BCDS for precise diagnosis begin to be trained. The primary contribution of this research is the novel outlier rejection technique known as the Combined Outlier Rejection Technique (CORT). CORT is divided into two primary phases: (i) the Quick Rejection Phase (QRP), which is a quick phase utilizing a statistical method, and (ii) the Accurate Rejection Phase (ARP), which is a precise phase using an optimization method. Outliers are rapidly eliminated during the QRP using the standard deviation, and the remaining outliers are thoroughly eliminated during ARP via Binary Harris Hawk Optimization (BHHO). The P2S in the BCD strategy indicates that data normalization is a pre-processing approach used to find numeric values in the datasets that fall into a predetermined range. Information Gain (IG) is then used to choose the optimal subset of features, and CORT is used to reject incorrect training data. Furthermore, based on the filtered data from the P2S, an Ensemble Classification Method (ECM) is utilized in the BCDS to identify breast cancer patients. This method consists of three classifiers: Naïve Bayes (NB), K-Nearest Neighbors (KNN), and Support Vector Machine (SVM). The Wisconsin Breast Cancer Database (WBCD) dataset, which contains digital images of fine-needle aspiration samples collected from patients’ breast masses, is used herein to compare the BCD strategy against several contemporary strategies. According to the outcomes of the experiment, the suggested method is very competitive. It achieves 0.987 accuracy, 0.013 error, 0.98 recall, 0.984 precision, and a run time of 3 s, outperforming all other methods from the literature.

Multidisciplinary tumor boards in oral cavity cancer: survival effect due to balancing guideline adherence and treatment delays

ObjectivesThe purpose of the study was to assess the impact of a pretherapeutic Multidisciplinary Tumor Board (MTB) presentation on the prognosis and treatment outcomes in patients with primary oral cavity carcinoma.Materials and methodsThis single-center study included 630 patients diagnosed with oral cavity carcinoma treated between 2010 and 2020. The study cohort was divided in a group with and without pretherapeutic MTB presentation. Data on patient demographics, tumor characteristics, treatment and the time to treatment initiation (TTI) were collected retrospectively.ResultsPrimary findings revealed no significant difference in 3-year survival rate (3-YSR) and 3-year disease-free survival rate (3-YDFSR) for the non-MTB and MTB group. The 3-YSR was 73.1% in the non-MTB group and 67.1% in the MTB group (p = 0.112). The 3-YDFSR was 73.8% in the non-MTB group and 76.5% in the MTB group (p = 0.447). Estimated mean 5-year survival (5-YS) and 5-year disease-free survival in (5-YDFS) did not differ significantly between both groups, across the UICC stages I-IV, as well as for the entire cohort. The TTI was significantly longer in the MTB group (33.5 days, CI: 31.3;35.7) compared to the non-MTB group (20.1 days, CI: 17.9;22.4, p < 0.001). The MTB group adhered more frequently to the national guidelines (68% vs. 79.6%, p < 0.01).ConclusionThe results demonstrate both positive and negative side effects of the MTB presentation in patients with oral cavity cancer. Further multicenter studies will be required to assess the impact of TTI and adherence to guidelines on the survival of oral cavity cancer patients.

Reply to: Significance of Up-Front Stereotactic Radiosurgery for Non-Small Cell Lung Cancer Patients With Brain Metastases in the Era of New Generation Tyrosine Kinase Inhibitors.

Reply to: Significance of Up-Front Stereotactic Radiosurgery for Non-Small Cell Lung Cancer Patients With Brain Metastases in the Era of New Generation Tyrosine Kinase Inhibitors.

Prognostic value of neutrophil-to-lymphocyte ratio in gastric cancer patients undergoing neoadjuvant chemotherapy: A systematic review and meta-analysis

Prognostic value of neutrophil-to-lymphocyte ratio in gastric cancer patients undergoing neoadjuvant chemotherapy: A systematic review and meta-analysis

ASO Author Reflections: Surgical Procedures for Early-Stage Lung Cancer Patients with Low Muscle Mass.

ASO Author Reflections: Surgical Procedures for Early-Stage Lung Cancer Patients with Low Muscle Mass.

Assessment of oral disease burden among head and neck cancer patients in the Merseyside region.

Introduction Head and neck cancer (HANC) significantly impacts the oral cavity and dental health issues may complicate cancer treatment and post-treatment quality of life. Pre-treatment dental evaluation is critical for identifying and managing existing oral health problems. However, limited literature exists on the dental health status of patients at the time of HANC diagnosis. This study aims to address this gap and emphasise the importance of dental care in the management of HANC.Methods A retrospective analysis of medical records was conducted on patients scheduled for radiotherapy for HANC. Data on demographic characteristics, tumour characteristics and dental exam findings were extracted from the patient record.Results Of the 191 included patients, the average age was 62.9 years (SD: 10.09), with 80% being men. The prevalence of dental disease revealed 59% of cases presenting with unstable periodontal disease and an average decayed, missing, and filled teeth score of 19.9. Two-thirds of patients exhibited one or more carious lesions.Conclusion This retrospective study sheds light on the dental health status of patients with HANC at their pre-treatment evaluation. The high prevalence rates of dental caries and unstable periodontal disease highlight the importance of dental evaluation and intervention as part of the overall management of HANC patients.

Participation of retroelements in chromoanagenesis in cancer development

Purpose of the study: to determine the role of retroelements in chromoanagenesis mechanisms in cancer etiopathogenesis.Material and Methods. The search for relevant sources was carried out in the Scopus, Web of Science, PubMed, Elibrary systems, including publications from February 2002 to December 2023. Of the 864 scientifc articles found, 60 were used to write a systematic review.Results. According to original works and meta-analyses results, the cause of complex chromosomal rearrangements during cancer development may be retroelement pathological activation. Chromoanagenesis involves LINE1, SVA, Alu, HERV, which cause double-stranded DNA breaks, insertions in tumor suppressor genes region, the formation of chimeric oncogenes due to retroelement use as new promoters, and function as molecular “band-aids” in non-homologous end junctions and form bridges of distal DNA fragments. Global structural rearrangements of chromosomes observed during chromoanagenesis may be consequences of retroelements activation, which participate in non-allelic homologous recombination and in microhomology-mediated joining of ends characteristic. Certain types of neoplasms, such as colon cancer, are characterized by both high levels of chromothripsis and retroelement activity. In head and neck squamous cell carcinoma, chromoplexy is specifc, the sources of sequences at the breakpoints of which are retroelements. During chromoanagenesis, activation of proto-oncogenes and inactivation of tumor suppressor genes are observed, which is also a consequence of retroelement activation. This is due to the presence of retroelement sequences in proto-oncogenes promoter regions and introns (which become the basis for chimeric oncogene formation) and hot spots of insertional mutagenesis in tumor suppressor genes (transpositions into these regions inactivate these genes).Conclusion. The results obtained on the driver effect of retroelements in chromothripsis, chromoplexy and chromoanasynthesis mechanisms, which are the basis for the formation of clonal evolution of tumors, indicate promise of targeted therapy aimed at silencing the activity of retroelements in cancer patients treatment. For this purpose, it is possible to use microRNAs complementary to retroelements, which are also involved in tumor development, as tools.

Expression of HECTD2 predicts peritoneal metastasis of gastric cancer and reconstructs immune microenvironment.

Peritoneal metastasis (PM) is a common metastasis site and death cause of gastric cancer, which is a complex biological process, but there is currently a lack of effective prediction and treatment targets. In this study, we first analyzed the differential gene expression of gastric cancer patients with or without peritoneal metastasis, and identified the HECT domain E3 ubiquitin protein ligase 2 (HECTD2) as the core gene of PM in gastric cancer. The current study shows that the role of HECTD2 in tumor is contradictory. In this study, our results show that the low expression of HECTD2 indicates that the survival rate of overall survival (OS), progression-free survival (PFS), disease-specific survival (DSS), and disease-free survival (DFS) are better, and can be used as an important component of prognostic indicators. In addition, through pathway enrichment analysis, we found that HECTD2 was mainly involved in metastasis related pathways such as extracellular matrix remodeling and cell adhesion in gastric cancer, and high expression of HECTD2 could activate epithelial-mesenchymal transition (EMT) metastasis related pathways in gastric cancer. In regulating the metastasis of gastric cancer cells, HECTD2 can also change the surrounding microenvironment, induce the enrichment of interstitial components and build an immune microenvironment conducive to tumor progression, while patients with low expression of HECTD2 may be more likely to benefit from immunotherapy. In conclusion, HECTD2 may be a novel biomarker for the diagnosis and prognosis of peritoneal metastasis of gastric cancer, providing basis for the mechanism of peritoneal metastasis of cancer and clinical medication.

Textbook oncological outcome of locally advanced gastric cancer patients with preoperative sarcopenia: a multicenter clinical study.

The impact of postoperative sarcopenia on the Textbook Oncological Outcome (TOO) in locally advanced gastric cancer (LAGC) remains uncertain. This study investigates the relationship between sarcopenia and TOO, explores its long-term prognostic value, and develops a prognostic model incorporating sarcopenia and TOO for survival prediction. We performed a retrospective analysis of clinical and pathological data from patients with LAGC who underwent radical surgery at two Chinese tertiary referral hospitals. Sarcopenia was defined as an SMI < 36.4 cm2/m2 in males and < 28.4 cm2/m2 in females. TOO was defined as the addition of perioperative chemotherapy to the textbook outcomes (TO). A nomogram was developed to predict postoperative overall survival (OS) and recurrence-free survival (RFS) in LAGC patients. The study included 972 patients with LAGC. The overall TOO achievement rate was 67.1%. The TOO achievement rate was significantly higher in patients non-sarcopenia compared to those with sarcopenia (68.9% vs. 61.1%, P = 0.031). Logistic regression revealed that age ≥ 65, high ASA score, and sarcopenia were independent risk factors for TOO failure. Cox regression analysis identified TOO, sarcopenia, tumor size, differentiation, vascular invasion, pT stage, and pN stage as independent predictors of OS and RFS. Nomogram models based on sarcopenia and TOO accurately predicted the 3-year and 5-year OS and RFS. Preoperative sarcopenia was an independent predictor of TOO implementation. A prognostic prediction model that integrates preoperative sarcopenia and TOO, which outperforms the current staging system, can aid clinicians in effectively assessing the prognosis of patients with LAGC.

Preliminary guidelines for the detection and management of drug-related problems in cancer patients with type 2 diabetes mellitus: a practical resource for oncology pharmacists.

The prevalence of type 2 diabetes mellitus (T2DM) in cancer patients is high. During the medication review process, clinical pharmacists could detect and manage drug-related problems (DRP) to optimize pharmacotherapy but there is a need to standardize pharmacists' interventions (PI) especially for T2DM-related DRP. The present study aims to describe DRP in cancer patients with T2DM undergoing anticancer treatment (AT) and to propose related preliminary guidelines to manage T2DM-related DRP. The study was conducted in one oncology outpatient hospital where a clinical pharmacy team performs medication reviews to detect and manage DRP by performing PI in cancer patients undergoing AT. All the data from November 23rd, 2015 to November 23rd, 2019 were extracted and demographic, clinical, oncological, and biological data were collected and analyzed. Based on these results and a literature review, a working group (2 pharmacists and one diabetologist) was constituted to propose a first set of preliminary guidelines clinical pharmacists that were then reviewed using the Delphi method by an expert panel of oncologists and pharmacists. A total of 161 T2DM cancer patients were included in the study (19.7% of all cancer patients screened). Overall, 152 DRP (mean 1.67/patient) were detected (49.3% drug interaction) and 152 PI were performed by clinical pharmacists, mainly drug monitoring (48.0) and drug discontinuation (25.7%). Specifically, there was 24 T2DM-related DRP (including 29.2% drug interactions). Twenty-four DRPs were directly related to T2DM status. The five proposed guidelines reached a consensus after revisions and a sixth has been added. DRPs were frequent among cancer patients with T2DM and we hypothesize that the preliminary guidelines should improve the detection of DRPs directly related to T2DM. The implementation of the preliminary guidelines should now be assessed in clinical practice.

Helicobacter pylori, esophageal precancerous lesions, and proton pump inhibitor overuse

This article reviews the cohort study published in the World Journal of Gastroenterology , which reported low rates of Helicobacter pylori (H. pylori ) infection among esophageal cancer (EC) patients, coupled with proton pump inhibitor (PPI) overuse. These findings suggest a potential protective role of H. pylori against EC and indicate a possible association between PPI use and increased cancer risk. In light of these findings, our article examines the complex relationship between H. pylori and esophageal precancerous lesions, exploring the potential underlying mechanisms. We also address growing concerns regarding PPI overuse, including its potential effects on cancer therapy efficacy and the risk of drug interactions. Ultimately, this article highlights the urgent need for further research to evaluate the safety and efficacy of PPIs in cancer patients and to better understand their broader implications.

Contribution of Cancer-Specific Protein Coronas to the Pro-Tumor Effects of Nanoplastics through Enhanced Cellular Interactions.

The potential impact of nanoplastics (NPs) on human carcinogenic processes is a matter of growing concern, particularly in light of the global plastic pollution crisis. Although the potential effects of NPs on human health have been well investigated, many uncertainties remain regarding their role in tumor behavior. Upon exposure, NPs can enter the bloodstream and are prone to interacting with plasma proteins to form a protein corona (PC), which can influence their interactions with cancer cells. However, how the PCs adsorbed on NPs affect the particle-to-tumor cell interaction and their effect on the tumor biological behavior remain unclear. To better understand the formation of PCs following NPs exposure in the bloodstream under various clinical conditions, we investigated the PC compositions of NPs derived from thyroid cancer (TC) patients and healthy volunteers. Our data revealed a significant enrichment of fibrinogen in the PCs formed on NPs derived from TC patient plasma, which in turn accelerated the endocytosis of NPs into TC cells. In addition, the uptake pathway of NPs into TC cells differed substantially between the two groups studied due to the different PC compositions in cancer patients and healthy individuals. Moreover, intriguingly alterations in the PCs induced by the clinical pathology status were also found to promote NPs engulfment by human macrophages, resulting in potent pro-inflammatory effects, in turn exerting pro-tumor effects. These findings emphasize the importance of considering the significance of a realistic biological identity on NPs and their interactions with cancer cells and also pinpoint the implications of the carcinogenesis outcomes of NPs exposure in humans.

Oral pathologies in anticancer therapy: a literature review

Anticancer therapy is associated with a wide range of systemic symptoms, including oral pathologies, such as dry mouth, mucositis, masticatory spasm, osteoradionecrosis, dental caries, opportunistic infections, dysphagia, hypogeusia, dysgeusia, and hyposalivation. Dental professionals are the most qualified experts in the diagnosis and treatment of oral pathologies, as well as their prevention and control in cancer patients receiving radiation therapy or chemotherapy. The aim of the review was to assess domestic and international literature on primary oral complications associated with anticancer therapy. The review also aimed to highlight the importance of dental care in improving the quality of life of these patients, as well as to provide practical guidelines for managing these complications. The search was performed using electronic databases PubMed, eLIBRARY.RU, and Google Scholar. The search yielded 55 literature sources, which were included in the review. Anticancer therapy may result in significant oral pathologies, including mucositis, infections, hyposalivation, changes in taste, and pain. These symptoms can affect various functions of the oral cavity and oropharynx, causing dry mouth and difficulties chewing and swallowing, which impairs nutrition. Moreover, they can affect speech, oral hygiene, denture treatment, and appearance, all of which can be detrimental to oral health, as well as social and emotional wellbeing. These side effects may also reduce compliance with anticancer therapy, affecting treatment outcomes, overall health, and therapy costs. When examining cancer patients, a dental professional must consider the prescribed therapy, as well as potential long-term complications similar to those in patients receiving bisphosphonates. As a result, a cancer patient will continue to receive the necessary treatment, and any new problems will be identified early.

Characterization of novel ACE2 mRNA transcripts: The potential role of alternative splicing in SARS-CoV-2 infection.

The human angiotensin converting enzyme 2 (ACE2) gene encodes a type I transmembrane protein, which is homologous to angiotensin I-converting enzyme (ACE) and belongs to the angiotensin-converting enzyme family of dipeptidyl carboxypeptidases. As highlighted by the COVID-19 pandemic, ACE2 is not only crucial for the renin-angiotensin-aldosterone system (RAAS), but also displays great affinity with the SARS-CoV-2 spike protein, representing the major receptor of the virus. Given the significance of ACE2 in COVID-19, especially among cancer patients, the present study aims to explore the transcriptional landscape of ACE2 in human cancer and non-cancerous cell lines through the design and implementation of a custom targeted long-read sequencing approach. Bioinformatics analysis of the massive parallel sequencing data led to the identification of novel ACE2 mRNA splice variants (ACE2 sv.7-sv.12) that demonstrate previously uncharacterized exon-skipping events as well as 5' and/or 3' alternative splice sites. Demultiplexing of the sequencing data elucidated the differential expression profile of the identified splice variants in multiple human cell types, whereas in silico analysis suggests that some of the novel splice variants could produce truncated ACE2 isoforms with altered functionalities, potentially influencing their interaction with the SARS-CoV-2 spike protein. In summary, our study sheds light on the complex alternative splicing landscape of the ACE2 gene in cancer cell lines, revealing novel splice variants that could have significant implications for SARS-CoV-2 susceptibility in cancer patients. These findings contribute to the increased understanding of ACE2's role in COVID-19 and highlight the importance of considering alternative splicing as a key factor in viral pathogenesis. Undoubtably, further research is needed to explore the functional roles of these variants and their potential as therapeutic targets in the ongoing fight against COVID-19.

Factors Inducing Cutaneous Adverse Reactions in Cancer Patients Treated with PD-1 and PD-L1 Inhibitors: A Machine-Learning Algorithm Approach

Immune checkpoint inhibitors (ICIs) show promise in cancer treatment but can lead to immune-related adverse events (irAEs), notably affecting the skin. Understanding the factors behind these skin reactions is crucial for effective management during treatment. Hence, the aim of this study was to uncover associations between patient characteristics and cutaneous adverse reactions among cancer patients undergoing ICI treatment. The study involved 209 cancer patients receiving ICIs. Statistical methods, including the chi-square test, Fisher's exact test, and multivariable logistic regression, were employed to analyze variables such as hypertension, antihistamine use, cancer metastasis, diabetes, and opioid usage. Additionally, machine learning techniques, including logistic regression, elastic net, random forest, and support vector machines (SVM), were utilized to develop predictive models anticipating skin-related adverse events. Results highlighted significant associations between specific patient attributes and the incidence of skin reactions post-ICI treatment. Notably, patients using antihistamines or with cancer metastasis exhibited higher rates of skin adverse reactions, while those with diabetes or using opioids displayed lower incidence rates. Robust performance in forecasting these adverse events was observed, particularly in the predictive models employing logistic regression and elastic net. This pioneering study contributes crucial insights into predictive modeling for ICI-induced skin reactions, emphasizing the importance of personalized treatment strategies. By identifying risk factors and utilizing tailored predictive models, healthcare providers can proactively manage adverse events, optimizing the benefits of ICIs while mitigating potential side effects.