A retrospective analysis to identify the factors affecting infection in patients undergoing chemotherapy

The application and use of artificial intelligence in cancer nursing: A systematic review

PURPOSE

Artificial Intelligence is being applied in oncology to improve patient and service outcomes. Yet, there is a limited understanding of how these advanced computational techniques are employed in cancer nursing to inform clinical practice. This review aimed to identify and synthesise evidence on artificial intelligence in cancer nursing.

METHODS

CINAHL, MEDLINE, PsycINFO, and PubMed were searched using key terms between January 2010 and December 2022. Titles, abstracts, and then full texts were screened against eligibility criteria, resulting in twenty studies being included. Critical appraisal was undertaken, and relevant data extracted and analysed. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed.

RESULTS

Artificial intelligence was used in numerous areas including breast, colorectal, liver, and ovarian cancer care among others. Algorithms were trained and tested on primary and secondary datasets to build predictive models of health problems related to cancer. Studies reported this led to improvements in the accuracy of predicting health outcomes or identifying variables that improved outcome prediction. While nurses led most studies, few deployed an artificial intelligence based digital tool with cancer nurses in a real-world setting as studies largely focused on developing and validating predictive models.

CONCLUSION

Electronic cancer nursing datasets should be established to enable artificial intelligence techniques to be tested and if effective implemented in digital prediction and other AI-based tools. Cancer nurses need more education on machine learning and natural language processing, so they can lead and contribute to artificial intelligence developments in oncology.

Diabetes is associated with high risk of severe adverse events during chemotherapy for cancer patients: A single-center study

Diabetes mellitus (DM) is a common comorbidity among cancer patients, but its impact on chemotherapy tolerance has not been widely studied. We aimed to compare the occurrence of severe grade 3/4 adverse events (G3/4 AEs) within 90 days of starting chemotherapy between patients with and without diabetes. We conducted a retrospective single-center study in Lille University Hospital Oncology Department, France. Patients who received the first cycle of chemotherapy for gastrointestinal, gynecological or cancer of unknown primary source between 1 May 2013 and 1 May 2016, were included. Overall, 609 patients were enrolled: 490 patients without diabetes (80.5%) and 119 patients with diabetes (19.5%). Within 90 days of starting chemotherapy, patients with diabetes had a significantly higher occurrence of AEs G3/4 compared to those with no diabetes (multivariate odds ratio [OR]: 1.57 [1.02-2.42], P = .04). More frequent G3/4 AEs in patients with diabetes were infection (26%), hematological disorders (13%), endocrine disorders (13%) and deterioration of the general condition (13%). In the year following the beginning of chemotherapy, patients with diabetes were twice as likely to be hospitalized as those without diabetes (univariate OR: 2.1 [1.40-3.15], P = .0003). After multivariate adjustment, diabetes was no longer significantly associated with the risk of hospitalization (P = .051). There were no differences between patients with and without diabetes regarding dose reduction and chemotherapy treatment delays (P = .61 and P = .30, respectively). Our study suggests the need for better consideration of DM in the personalized care plan to improve chemotherapy tolerance and quality of life of patients with DM.

Glycosylated haemoglobin and prognosis in 10,536 people with cancer and pre-existing diabetes: a meta-analysis with dose-response analysis

AIMS

To assess whether glycaemic control is associated with prognosis in people with cancer and pre-existing diabetes.

METHODS

In this pre-registered systematic review (PROSPERO: CRD42020223956), PubMed and Web of Science were searched on 25th Nov 2021 for studies investigating associations between glycosylated haemoglobin (HbA1c) and prognosis in people with diabetes and cancer. Summary relative risks (RRs) and 95% Confidence Intervals (CIs) for associations between poorly controlled HbA1c or per 1-unit HbA1c increment and cancer outcomes were estimated using a random-effects meta-analysis. We also investigated the impact of potential small-study effects using the trim-and-fill method and potential sources of heterogeneity using subgroup analyses.

RESULTS

Fifteen eligible observational studies, reporting data on 10,536 patients with cancer and pre-existing diabetes, were included. Random-effects meta-analyses indicated that HbA1c ≥ 7% (53 mmol/mol) was associated with increased risks of: all-cause mortality (14 studies; RR: 1.14 [95% CI: 1.03-1.27]; p-value: 0.012), cancer-specific mortality (5; 1.68 [1.13-2.49]; p-value: 0.011) and cancer recurrence (8; 1.68 [1.18-2.38; p-value: 0.004]), with moderate to high heterogeneity. Dose-response meta-analyses indicated that 1-unit increment of HbA1c (%) was associated with increased risks of all-cause mortality (13 studies; 1.04 [1.01-1.08]; p-value: 0.016) and cancer-specific mortality (4; 1.11 [1.04-1.20]; p-value: 0.003). All RRs were attenuated in trim-and-fill analyses.

CONCLUSIONS

Our findings suggested that glycaemic control might be a modifiable risk factor for mortality and cancer recurrence in people with cancer and pre-existing diabetes. High-quality studies with a larger sample size are warranted to confirm these findings due to heterogeneity and potential small-study effects. In the interim, it makes clinical sense to recommend continued optimal glycaemic control.

A guideline for the outpatient management of glycaemic control in people with cancer

Individuals with cancer are at increased risk of developing new-onset diabetes mellitus and hyperglycaemia, and an estimated 20% of people with cancer already have an underlying diagnosis of diabetes mellitus. People with both cancer and diabetes may have an increased risk of toxicities, hospital admissions and morbidity, with hyperglycaemia potentially attenuating the efficacy of chemotherapy often secondary to dose reductions and early cessation. Numerous studies have demonstrated that hyperglycaemia is prognostic of worse overall survival and risk of cancer recurrence. These guidelines aim to provide the oncology/haemato-oncology and diabetes multidisciplinary teams with the tools to manage people with diabetes commencing anti-cancer/glucocorticoid therapy, as well as identifying individuals without a known diagnosis of diabetes who are at risk of developing hyperglycaemia and new-onset diabetes.

Glycemic Excursion, Adverse Drug Reactions, and Self-Management in Diabetes Patients Undergoing Chemotherapy: A Literature Review

The purpose of this study was to identify the state of self-management in patients with diabetes who underwent chemotherapy, by referring to fluctuations in glycemic excursion and adverse drug reaction. We conducted a literature search in May 2021 using PubMed, CINAHL, and Ichushi-Web databases with “Cancer AND Diabetes AND Chemotherapy” as keywords. Based on our criteria, 25 articles were selected, and a review matrix sheet was created for the analysis of fluctuations in glycemic excursion and any adverse drug reaction to diabetes in patients undergoing chemotherapy. Substantial increases and unpredictable fluctuations in glycemic excursion were observed in these patients. In addition, an increase or change in the treatment dose was prevalent. Primarily, peripheral neuropathy and infection were reported as common adverse drug reactions. The risk of adverse drug reactions was especially high for patients with diabetes undergoing chemotherapy; furthermore, among this cohort, the detrimental effects were more likely to exacerbate into a severe condition that required special attention. Almost inevitably, the implementation rate of diabetes self-management programs decreased on the 8^th week after the commencement of chemotherapy. Considering the findings of large individual differences in fluctuation in this cohort, tailored assistance that is appropriate for each patient's chemotherapy regimen or blood glucose level is of paramount importance. Support of patient self-management to achieve stable blood glucose levels and thus prevent adverse drug reactions was a key component in the successful completion of chemotherapy and improved patient outcomes for this group of special needs patients.

Antibody-Based Targeted Interventions for the Diagnosis and Treatment of Skin Cancers

BACKGROUND

Cutaneous malignancies most commonly arise from skin epidermal cells. These cancers may rapidly progress from benign to a metastatic phase. Surgical resection represents the gold standard therapeutic treatment of non-metastatic skin cancer while chemo- and/or radiotherapy are often used against metastatic tumors. However, these therapeutic treatments are limited by the development of resistance and toxic side effects, resulting from the passive accumulation of cytotoxic drugs within healthy cells.

OBJECTIVE

This review aims to elucidate how the use of monoclonal Antibodies (mAbs) targeting specific Tumor Associated Antigens (TAAs) is paving the way to improved treatment. These mAbs are used as therapeutic or diagnostic carriers that can specifically deliver cytotoxic molecules, fluorophores or radiolabels to cancer cells that overexpress specific target antigens.

RESULTS

mAbs raised against TAAs are widely in use for e.g. differential diagnosis, prognosis and therapy of skin cancers. Antibody-Drug Conjugates (ADCs) particularly show remarkable potential. The safest ADCs reported to date use non-toxic photo-activatable Photosensitizers (PSs), allowing targeted Photodynamic Therapy (PDT) resulting in targeted delivery of PS into cancer cells and selective killing after light activation without harming the normal cell population. The use of near-infrared-emitting PSs enables both diagnostic and therapeutic applications upon light activation at the specific wavelengths.

CONCLUSION

Antibody-based approaches are presenting an array of opportunities to complement and improve current methods employed for skin cancer diagnosis and treatment.

Bluetongue Virus Particles as Nanoreactors for Enzyme Delivery and Cancer Therapy

The side effects of chemotherapy can be reduced by targeting tumor cells with an enzyme (or the corresponding gene) that converts a nontoxic prodrug into a toxic drug inside the tumor cells, also killing the surrounding tumor cells via the bystander effect. Viruses are the most efficient gene delivery vehicles because they have evolved to transfer their own nucleic acids into cells, but their efficiency must be balanced against the risks of infection, the immunogenicity of nucleic acids, and the potential for genomic integration. We therefore tested the effectiveness of genome-free virus-like particles (VLPs) for the delivery of Herpes simplex virus 1 thymidine kinase (HSV1-TK), the most common enzyme used in prodrug conversion therapy. HSV1-TK is typically delivered as a gene, but in the context of VLPs, it must be delivered as a protein. We constructed VLPs and smaller core-like particles (CLPs) based on Bluetongue virus, with HSV1-TK fused to the inner capsid protein VP3. TK-CLPs and TK-VLPs could be produced in large quantities in plants. The TK-VLPs killed human glioblastoma cells efficiently in the presence of ganciclovir, with an IC₅₀ value of 14.8 μM. Conversely, CLPs were ineffective because they remained trapped in the endosomal compartment, in common with many synthetic nanoparticles. VLPs are advantageous because they can escape from endosomes and therefore allow HSV1-TK to access the cytosolic adenosine triphosphate (ATP) required for the phosphorylation of ganciclovir. The VLP delivery strategy of TK protein therefore offers a promising new modality for the treatment of cancer with systemic prodrugs such as ganciclovir.

Diabetic mortality risk among cancer patients in the United State SEER population, 1975-2016

BACKGROUND

The focus on diabetic mortality in cancer patients remains superficial. The objective of our study is to identify cancer patients with the highest risk of diabetic mortality compared with other cancer patients and the general US population.

METHODS

The representative data of cancer patients dying from diabetes between 1975 and 2016 was retrieved from the Surveillance, Epidemiology, and End Results program. Standardized mortality ratios (SMRs) and excess risks for multiple cancer sites were calculated. Cox regression analysis was performed to identify potential risk factors of death from diabetes.

RESULTS

Among 9,043,788 cancer patients diagnosed between 1975 and 2016, 51,611 patients died from diabetes. the SMR of diabetic death was 2.15 compared with the general population. Malignancies of pancreas, liver, and brain had the highest SMR (>15) compared with the general population. The risk of death from diabetes was increasing in more recent years. The majority of deaths from diabetes occurred in those >45 years of age diagnosed with prostate, breast, colorectum, lung, or bladder cancer. Patients with older age, male sex, black race, higher histologic grade, unmarried status, and not undergoing surgery are at higher risk compared with other cancer survivors.

CONCLUSIONS

Compared to the general population, cancer patients are at elevated risk of death from diabetes throughout the follow-up period. Elderly, black, unmarried males with distant metastases and without receiving surgery are recommended with earlier detection and more efficient diabetic care, especially for those with prostate, breast, colorectum, lung, or bladder cancer.

Determining the Impact of a Cancer Diagnosis on Diabetes Management: A Systematic Literature Review

OBJECTIVES

Cancer patients with comorbid diabetes have a 50% increased risk of all-cause mortality compared with cancer patients without diabetes. Less attention to diabetes management (glucose control, medication adherence, and diabetes self-management behaviors) during active cancer treatment is hypothesized as an explanation for worse outcomes among diabetic cancer patients. The objective of this systematic review is to determine and quantify how a cancer diagnosis impacts diabetes management.

METHODS

Quantitative and qualitative studies evaluating diabetes management among patients were identified by searching 4 databases: MEDLINE, EMBASE, The Cochrane Library, and Web of Science. Two independent reviewers extracted data and summarized results from eligible studies. Study quality was formally assessed.

RESULTS

Thirty-six studies met all inclusion criteria. We observed heterogeneity across studies in terms of study design, sample size, cancer site, type of diabetes management evaluated, and quality. Numerous articles discussed that overall, glucose control, medication adherence, and diabetes self-management behaviors declined following a cancer diagnosis. However, findings were inconsistent across studies.

CONCLUSIONS

Although the effects of a cancer diagnosis on diabetes management are mixed, when results across studies were synthesized together, diabetes management appeared to generally decline after a cancer diagnosis. Declines in diabetes management seem to be primarily due to shifts in the priority of care from diabetes management to cancer. A next critical step in this line of work is to identify patient and provider level predictors of better or worse diabetes management to design and test interventions aimed at improving effective diabetes management for cancer patients.

Diabetes care management patterns before and after a cancer diagnosis: A SEER-Medicare matched cohort study

BACKGROUND

Diabetes places patients with cancer at an increased risk of infections, hospitalizations, and mortality. The objective of the current study was to characterize diabetes care management patterns among patients with cancer in the year before and, separately, after cancer diagnosis. The authors hypothesized that diabetes care declines after a diagnosis of cancer.

METHODS

The Surveillance, Epidemiology, and End Results (SEER) cancer registry linked to Medicare claims data was used. The authors included diabetic beneficiaries aged ≥65 years who were diagnosed with incident, nonmetastatic breast, prostate, or colorectal cancer between 2008 and 2013. Controls were diabetic Medicare beneficiaries in SEER regions who did not have cancer. Cases were matched to controls based on age, sex, Charlson Comorbidity Index, and diabetes severity. Primary outcomes were diabetes care received over 12 months: 1) hemoglobin A1c testing; 2) eye examination; and 3) low-density lipoprotein testing. Using a difference-in-difference (DID) approach, the authors examined use differences 12 months before to after diagnosis for patients with cancer and controls. To avoid capturing testing related to diagnosis and not diabetes management, the authors implemented a 90-day washout period (45 days before and/or after diagnosis).

RESULTS

A total of 32,728 diabetic patients with cancer and 32,728 matched noncancer controls were included. After diagnosis, patients with cancer were found to have modest, but significantly lower, rates of diabetes care use compared with controls. Patients with cancer had greater declines in hemoglobin A1c testing (DID, 2.4%; 95% CI, 1.7%-3.0%), low-density lipoprotein testing (DID, 4.3%; 95% CI, 3.6%-5.0%), and receipt of all diabetes indicators (DID, 2.7%; 95% CI, 1.8%-3.5%) 12 months before to after diagnosis.

CONCLUSIONS

Compared with controls, less diabetes care use was observed among patients with cancer in the year after diagnosis. Understanding and addressing the reasons for this may improve outcomes in this population.

Targeted human cytolytic fusion proteins at the cutting edge: harnessing the apoptosis-inducing properties of human enzymes for the selective elimination of tumor cells

Patient-specific targeted therapy represents the holy grail of anti-cancer therapeutics, allowing potent tumor depletion without detrimental off-target toxicities. Disease-specific monoclonal antibodies have been employed to bind to oncogenic cell-surface receptors, representing the earliest form of immunotherapy. Targeted drug delivery was first achieved by means of antibody-drug conjugates, which exploit the differential expression of tumor-associated antigens as a guiding mechanism for the specific delivery of chemically-conjugated chemotherapeutic agents to diseased target cells. Biotechnological advances have expanded the repertoire of immunology-based tumor-targeting strategies, also paving the way for the next intuitive step in targeted drug delivery: the construction of recombinant protein drugs consisting of an antibody-based targeting domain genetically fused with a cytotoxic peptide, known as an immunotoxin. However, the most potent protein toxins have typically been derived from bacterial or plant virulence factors and commonly feature both off-target toxicity and immunogenicity in human patients. Further refinement of immunotoxin technology thus led to the replacement of monoclonal antibodies with humanized antibody derivatives, including the substitution of non-human toxic peptides with human cytolytic proteins. Preclinically tested human cytolytic fusion proteins (hCFPs) have proven promising as non-immunogenic combinatory anti-cancer agents, however they still require further enhancement to achieve convincing candidacy as a single-mode therapeutic. To date, a portfolio of highly potent human toxins has been established; ranging from microtubule-associated protein tau (MAP tau), RNases, granzyme B (GrB) and death-associated protein kinase (DAPk). In this review, we discuss the most recent findings on the use of these apoptosis-inducing hCFPs for the treatment of various cancers.

Importance of Glycemic Control in Cancer Patients with Diabetes: Treatment through End of Life

Cancer patients with diabetes are at increased risk for developing infections, being hospitalized, and requiring chemotherapy reductions or stoppages. While it has been hypothesized that glycemic control increases the risk for these adverse events, few studies have explored this hypothesis. The purpose of this paper is to discuss the importance of glycemic control in patients with diabetes and cancer during treatment through end of life. Glycemic control was found to play a role; the overall level of health-related quality of life experienced by patients with cancer and diabetes, level of symptom severity experienced and can impact the overall survival of the individual. Evidence-based policies and practice guidelines also need to be developed to help clinicians manage these patients during all phases of care. Using diabetes educators and advance practice, nurses to provide management and care coordination services need to be considered. Survivorship care plans should address both cancer and diabetes management. Finally, glycemic control should continue through end of life, with the main goal of avoiding hypoglycemic events.