Do treatment patterns differ in those with early-onset colorectal cancer?

BACKGROUND: The incidence of early-onset colorectal cancer (EOCRC) is increasing. International guidelines state that treatment should not differ from that of older patients. Several studies have shown that patients under 50 years are receiving more aggressive treatment, without any survival benefit. We aim to determine if treatment for stages 2 and 3 EOCRC differs from those of late-onset colorectal cancer (LOCRC) patients. METHODS: This was a retrospective, population-based, cohort study of the treatment patterns of patients diagnosed with colorectal cancer in Canterbury, New Zealand, from 2010 to 2021 age <50 years, compared to those aged 60-74 years. RESULTS: A total of 3263 patients were diagnosed with CRC between 2010 and 2021. Following exclusions, we identified 130 EOCRC and 668 LOCRC patients. Stage 2 EOCRC patients are more likely to be offered adjuvant chemotherapy (p = <0.001). Furthermore, EOCRC patients with either stage 2 or 3 disease are more likely to receive multi-agent therapy (p = <0.01), without any associated increase in survival. CONCLUSION: EOCRC patients are given more adjuvant chemotherapy, without a corresponding improvement in outcomes, highlighting a potential for increased treatment-related harms, particularly in stage 2 disease. Clinicians should be mindful of these biases when treating young cancer patients and need to carefully consider treatment-related harms.

Use of artificial intelligence for the prediction of lymph node metastases in early-stage colorectal cancer: systematic review.

BACKGROUND: Risk evaluation of lymph node metastasis for early-stage (T1 and T2) colorectal cancers is critical for determining therapeutic strategies. Traditional methods of lymph node metastasis prediction have limited accuracy. This systematic review aimed to review the potential of artificial intelligence in predicting lymph node metastasis in early-stage colorectal cancers. METHODS: A comprehensive search was performed of papers that evaluated the potential of artificial intelligence in predicting lymph node metastasis in early-stage colorectal cancers. Studies were appraised using the Joanna Briggs Institute tools. The primary outcome was summarizing artificial intelligence models and their accuracy. Secondary outcomes included influential variables and strategies to address challenges. RESULTS: Of 3190 screened manuscripts, 11 were included, involving 8648 patients from 1996 to 2023. Due to diverse artificial intelligence models and varied metrics, no data synthesis was performed. Models included random forest algorithms, support vector machine, deep learning, artificial neural network, convolutional neural network and least absolute shrinkage and selection operator regression. Artificial intelligence models' area under the curve values ranged from 0.74 to 0.9993 (slide level) and 0.9476 to 0.9956 (single-node level), outperforming traditional clinical guidelines. CONCLUSION: Artificial intelligence models show promise in predicting lymph node metastasis in early-stage colorectal cancers, potentially refining clinical decisions and improving outcomes. PROSPERO REGISTRATION NUMBER: CRD42023409094.

Radiation cystitis in acute admissions for haematuria.

AIMS: To assess the outcomes of patients with haematuria from radiation cystitis admitted to Christchurch Hospital's Urology Service and identify treatment differences and hospitalisation trends. METHODS: From November 2021 to January 2023, a retrospective analysis of 144 acute haematuria admissions was conducted. Data covered demographics, diagnosis, surgeries, complications and hospital stay length. Predictive factors for admissions and surgical interventions were explored. RESULTS: Of the 144 admissions, 22 (15.3%) were diagnosed with radiation cystitis. The management strategies for radiation cystitis and non-radiation cystitis patients showed no significant differences in transfusion requirements, anti-bleeding medication usage (finasteride and/or tranexamic acid), or the need for acute or elective surgery. The average length of stay for admission was similar between the groups (radiation cystitis: 3.7 days, non-radiation cystitis: 3.5 days, p<0.05), but the readmission rate was significantly higher for radiation cystitis patients (59.1% vs 25.4%, p<0.01). CONCLUSIONS: The management and hospital stay duration were similar for both cohorts; radiation cystitis patients faced increased readmissions, underscoring the necessity for rigorous monitoring and subsequent care. Upcoming research should target refining early interventions and management methods.

Dimensions of apathy in Parkinson's disease.

INTRODUCTION: Apathy is one of the most common neuropsychiatric manifestations in Parkinson's disease (PD). Recent proposals consider apathy as a multidimensional construct, which can manifest in behavioral, cognitive, emotional, and/or social dimensions. Apathy also overlaps conceptually and clinically with other non-motor comorbidities, particularly depression. Whether all of these dimensions are applicable to the apathetic syndrome experienced by people with PD is unclear. In the present study, we investigated the multidimensional pattern of apathy associated with PD, using the recently developed Apathy Motivation Index (AMI) which probes behavioral, emotional, and social apathy dimensions. We then examined the relationship between these dimensions and other features of PD commonly associated with apathy, including depression, anxiety, cognition, and motor state. METHODS: A total of 211 participants were identified from the New Zealand Brain Research Institute (NZBRI) longitudinal PD cohort. One hundred eight patients and 45 controls completed the AMI, administered as an online questionnaire, and additional assessments including neuropsychiatric, neuropsychological, and motor scores. The pattern of dimensional apathy in PD was assessed using a repeated-measured analysis of variance, while simple linear regressions were performed to evaluate relationships between these dimensions and other variables. RESULTS: We found a significant interaction between group (PD versus control) and apathy subscale, driven mainly by higher levels of social and behavioral-but not emotional-apathy in those with PD. This result was strikingly similar to a previous study investigating social apathy in PD. Distinct patterns of dimensional apathy were associated with depression and anxiety, with social and behavioral apathy positively associated with depression, and emotional apathy negatively associated with anxiety. CONCLUSION: This work provides further evidence for a distinct pattern of apathy in people with PD in which deficits manifest in some-but not all-dimensions of motivated behavior. It emphasizes the importance of considering apathy as a multidimensional construct in clinical and research settings.

Early onset colorectal cancer in Canterbury, New Zealand.

BACKGROUND: The overall incidence of colorectal cancer is decreasing in much of the world, yet the incidence in those under 50 years of age is increasing (early onset colorectal cancer (EOCRC)). The reasons for this are unclear. This study was undertaken to describe the clinical, pathological and familial characteristics of patients with EOCRC and their oncological outcomes and compare this with previously published data on late onset colorectal cancer (LOCRC). METHODS: A retrospective review of all patients diagnosed with EOCRC in Canterbury between 2010 and 2017 was conducted. Data was collected on demographics, family history, treatment, and oncologic outcomes. Kaplan-Meier survival curves were calculated to assess overall survival based on disease stage. RESULTS: During the study period (2010-2017) there were 3340 colorectal cancers diagnosed in Canterbury, of which 201 (6%) were in patients under 50 years (range: 17-49). Of these, 87 (43.3%) were female and 125 (62.2%) were aged between 40 and 49 years. 28 (13.9%) were associated with hereditary conditions. Of the 201 patients, 139 (69.2%) had rectal or left-sided cancers. 142 (70.6%) patients presented with either stage 3 or 4 disease and the 5-year overall survival by stage was 79.1% and 14.4%, respectively. CONCLUSION: EOCRC is increasing and usually presents as distal left sided cancers, and often at an advanced stage. They do not appear to have the common risk factors of family history or inherited pre-disposition for colorectal cancer. Planning by healthcare providers for this epidemiological change is imperative in investigating symptomatic patients under 50 and optimizing early detection and prevention.

Lentivirus-Mediated Expression of Human Secreted Amyloid Precursor Protein-Alpha Promotes Long-Term Induction of Neuroprotective Genes and Pathways in a Mouse Model of Alzheimer's Disease.

BACKGROUND: Secreted amyloid precursor protein-alpha (sAPPα) can enhance memory and is neurotrophic and neuroprotective across a range of disease-associated insults, including amyloid-ß toxicity. In a significant step toward validating sAPPα as a therapeutic for Alzheimer's disease (AD), we demonstrated that long-term overexpression of human sAPPα (for 8 months) in a mouse model of amyloidosis (APP/PS1) could prevent the behavioral and electrophysiological deficits that develop in these mice. OBJECTIVE: To explore the underlying molecular mechanisms responsible for the significant physiological and behavioral improvements observed in sAPPα-treated APP/PS1 mice. METHODS: We assessed the long-term effects on the hippocampal transcriptome following continuous lentiviral delivery of sAPPα or empty-vector to male APP/PS1 mice and wild-type controls using Affymetrix Mouse Transcriptome Assays. Data analysis was carried out within the Affymetrix Transcriptome Analysis Console and an integrated analysis of the resulting transcriptomic data was performed with Ingenuity Pathway analysis (IPA). RESULTS: Mouse transcriptome assays revealed expected AD-associated gene expression changes in empty-vector APP/PS1 mice, providing validation of the assays used for the analysis. By contrast, there were specific sAPPα-associated gene expression profiles which included increases in key neuroprotective genes such as Decorin, betaine-GABA transporter and protocadherin beta-5, subsequently validated by qRT-PCR. An integrated biological pathways analysis highlighted regulation of GABA receptor signaling, cell survival and inflammatory responses. Furthermore, upstream gene regulatory analysis implicated sAPPα activation of Interleukin-4, which can counteract inflammatory changes in AD. CONCLUSION: This study identified key molecular processes that likely underpin the long-term neuroprotective and therapeutic effects of increasing sAPPα levels in vivo.