Proportion trends, cancer stage, and survival of patients with cancer diagnosed through emergency and nonemergency departments: a nationwide cohort study.

Introduction: To reduce mortality, the Taiwan government has vigorously promoted free cancer screening and preventive health screening services. Cancers are usually advanced by the time they are discovered in the emergency department. Through this study, we aimed to understand the characteristics of cancer patients diagnosed through the emergency department and thus identify high-risk populations by comparing cancer staging and survival rates in patients diagnosed in the emergency department and those diagnosed in the non-emergency department. Methods: The retrospective study enrolled a total of 389,043 patients over the age of 20 who were newly diagnosed with one of the five major cancers (including lung cancer, colorectal cancer, breast cancer, prostate cancer, and oral cancer) between 2008 and 2017 and analyzed their diagnostic pathway, cancer stage at diagnosis, and survival time. Results: Of the study participants, 59,423 patients (about 15.3%) were diagnosed with cancer through the emergency department. We found that a sizable proportion of older people and patients with low education and low incomes were diagnosed through emergency department visits, and those with a health condition comorbidity severity of 3 had the highest proportion diagnosed by the emergency department, advanced stages at diagnosis, and risk of death. These can be classified as high-risk groups. In addition, 76.4% of patients diagnosed in the emergency department had advanced cancer, and the risk of death was 1.46 times higher than that of patients diagnosed in the non-emergency department. Although cancer screening is available, it does not reduce the proportion of patients with advanced cancer who are diagnosed through or at the time of diagnosis in the emergency department. Conclusions: The present study found that the government's cancer screening did not affect the proportion or number of cancers diagnosed through emergency department visits. Therefore, the government should focus on more cancer screening, health education in high-risk groups, and strengthening the link between emergency and oncology departments to reduce the risk of death for patients diagnosed through emergency department visits.

Effectiveness of multi-disciplinary team management on 5-year overall survival for patients with stage III lung cancer.

Background: Stage III lung cancer (LC) represents a heterogeneous group of diseases, and the optimal management is still a matter of debate. To date, only a few studies have assessed the role of multidisciplinary team (MDT) discussion in impacting survival of stage III LC. Hence, we aimed to reported the impact of the implementation of MDT discussion on long-term survival of stage III LC patients. Methods: This is a retrospective, observational, single-centre cohort study evaluating data of consecutive patients with a clinical and pathological diagnosis of stage III LC treated before [2005-2011] and after [2012-2020] the implementation of MDT. The primary outcome was 5-year overall survival (OS). Results: A total of 983 patients were enrolled with stage III LC, 411 (41.8%) pre-MDT and 572 (58.2%) post-MDT. The 5-year OS rates were 25.3% for the pre-MDT cohort and 33.9% for the post-MDT cohort (P=0.0008). Resected patients (n=670), who underwent trimodality therapy achieved a higher 5-year OS in both pre-MDT and post-MDT groups. An increased 5-year OS was observed in patients who underwent systemic therapy, from 28.2% in pre-MDT to 40.2% in post-MDT cohorts. In non-resected patients, there was an increased in 5-year OS in both systemic and chemoradiotherapy groups. Conclusions: The implementation of an MDT increased the 5-year OS in both resected and non-resected stage III LC patients. Implementing MDT might be useful in improving the management of therapy with less invasive local and surgical strategies personalized for each LC patient.

Cervical cancer screening outcomes among First Nations and non-First Nations women in Alberta, Canada.

BACKGROUND: Cervical cancer disproportionately affects First Nations women in Canada but there is limited information on their participation in organized cervical cancer screening programs. METHODS: This co-led retrospective cohort study linked population-based Alberta Cervical Cancer Screening Program point of care data with First Nations identifiers. This Screening Program database includes cervical cancer screening history, screen test results, colposcopy procedure findings, and pathology results for all women in Alberta. First Nations identifiers were obtained from Alberta Health who steward these data on their behalf. Data were available from 2012 to 2018 for women 25 - 69 years of age who were age eligible to participate in cervical cancer screening. Screening participation and retention rates, and screening outcomes were compared between First Nations and non- First Nations women using descriptive statistics with trends estimated using joinpoint models. RESULTS: Age standardized screening participation and retention rates of First Nations women were lower than those for the non-First Nations women, with an average difference of 13.9 % lower for participation rates (95 % confidence interval = 12.9-14.8 %; P <.0001) and 7.2 % for retention rates (95 % confidence interval = 2.2 % to 12.72; P = 0.013). First Nations women consistently had higher percentages of high risk (high-grade squamous intraepithelial lesion, atypical glandular cells, atypical squamous cells where HSIL cannot be excluded, Carcinoma in situ) abnormal cytology tests than non-First Nations women. CONCLUSION: Identifying where inequities were found in cervical cancer screening participation and retention in this study is the first step to reduce the disproportionate burden of cervical cancer for First Nations women in Canada.

Frontline evaluation: Atezolizumab-bevacizumab versus lenvatinib for BCLC stage B hepatocellular carcinoma exceeding the up-to-seven criteria.

INTRODUCTION: This study aimed to evaluate the efficacy and safety of atezolizumab combined with bevacizumab (Atez/Bev) compared to lenvatinib (LEN) as first-line systemic therapy for patients with Barcelona Clinic Liver Cancer (BCLC) stage B hepatocellular carcinoma (HCC) exceeding the up-to-seven criteria threshold, who are typically unsuitable for transarterial chemoembolization (TACE). METHODS: A retrospective analysis was conducted on 49 consecutive patients with HCC treated at Tokyo Metropolitan Komagome Hospital between May 2018 and October 2023. The patients were divided into two groups: the Atez/Bev group (21 patients) and the LEN group (28 patients). Eligibility criteria included Child-Pugh A classification, no prior systemic therapy, and ineligibility for resection, ablation, or transplantation. Treatment outcomes were assessed through periodic imaging and laboratory tests, evaluating OS, PFS, ORR, and disease control rate (DCR). RESULTS: Both groups demonstrated comparable baseline characteristics, with a median follow-up of 15.4 months. No significant difference was observed in OS between the Atez/Bev and LEN groups (median OS: 19.80 vs. 22.20 months, p = 0.763). The median PFS was 10.23 months for Atez/Bev and 7.20 months for LEN (p = 0.343). There were no statistically significant differences in ORR or DCR between the two groups. Common adverse events included elevated AST and ALT levels, with no significant difference in the overall rate of adverse events between the groups. CONCLUSIONS: Atez/Bev and LEN demonstrated comparable efficacy and safety as first-line systemic treatments for patients with BCLC stage B HCC exceeding the up-to-seven criteria. Both therapeutic options are viable for this population, though further large-scale prospective studies are required to confirm these findings.

Breast cancer in Switzerland: a comparison between organized-screening versus opportunistic-screening cantons.

BACKGROUND: Switzerland is one of the few remaining European countries without a uniform national breast cancer screening program. Most Swiss cantons have initiated mammography screening programs, with the notable exceptions of the cantons of central Switzerland. The aim of this study is to compare the TNM (tumor-node-metastasis) status in woman diagnosed with screen- and non-screen-detected breast cancers. We compare TNM of breast cancers of cantonal screening cantons (Or-SC) with organized mammographic screening and opportunistic-screening cantons (Op-SC) without organized mammographic screening. MATERIALS AND METHODS: We compared the TNM documented in cantons with organized screening (Or-SC) in the national cancer registry with those in the cantons of central Switzerland without organized screening (Op-SC) between 2014 and 2020. Since 2014, a total of 19 236 patients from Or-SC and 2282 from Op-SC with breast cancer were compared. Age groups were defined as younger than 50 years, between 50 and 69 years, and older than 70 years. RESULTS: By comparison, women aged 50-69 years in the cantons of the Op-SC group exhibited significantly larger tumors T1-3 [point estimate of the difference with 95% confidence interval (CI) for T1: -7.7% (95% CI -11.0% to -4.4%); T2: 5.3% (95% CI 2.2% to 8.5%); T3: 2.5% (95% CI 0.8% to 4.2%)] and significantly fewer proportion of N0 [-5.7% (95% CI -9.0% to -2.5%)] without significant difference in the M status (P = 0.97). CONCLUSION: Our study shows that patients aged 50-69 years from Op-SC have significantly larger tumors and higher incidence of lymph node metastases than women in the corresponding Or-SC group. This globally unique case within one single small country with very high living standards, but with different screening strategies, indicates the benefits of organized breast screening programs.

Tumor burden score is superior to primary liver cancer stages in predicting prognosis for patients with combined hepatocellular-cholangiocarcinoma after surgery: A multi-center study.

BACKGROUND: Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is poorly understood, while the predictive value of the staging in which it is included is controversial. METHODS: Patients with cHCC-CCA underwent radical hepatectomy in two medical centers in China were enrolled and staged based on optimal cut-off values of tumor burden score (TBS), determined using the X-Tile. The association between TBS and prognosis was evaluated by Cox proportional hazard models and Kaplan-Meier curves with Log-rank test. TBS model and primary liver cancer (PLC) stages were compared by discrimination, consistency, and clinical utility, which were further validated by a 5-folds cross-validation. RESULTS: A total of 192 patients were stratified into low, medium, and high TBS, comprising 92, 51 and 49 patients, respectively. Prognoses worsened with elevated TBS in both the training and validation cohorts. TBS was not only an independent prognostic indicator in univariate and multivariate cox regression, but also a stable risk factor in subgroup analysis according to baseline variables. TBS exhibited best discrimination within these predictive models, as evidenced by the highest c-index and area under curve values of time-dependent receiver operating curves within 5 years post-surgery. TBS calibration plots revealed favorable consistency between prediction and observation. Decision curve analysis suggested higher net benefits for TBS. A 5-folds cross-validation revealed consistent results. CONCLUSIONS: TBS could be applied to stratify cHCC-CCA patients after surgery into groups with statistically different prognoses. Moreover, TBS exhibited optimal prognostic value over all available PLC stages and may inform clinical decisions.

Understanding symptom contribution to sex inequality in bladder and renal cancer stage at diagnosis.

Background: Understanding sex-specific factors contributing to advanced-stage diagnosis can guide interventions to reduce sex inequality in patients with urological cancers. Method: We used linked primary care and cancer registry data to examine associations between symptoms and advanced-stage in 1151 bladder cancer and 440 renal cancer patients diagnosed between January 2012 and December 2015 in England. We performed logistic regression, adjusting for sex, age, deprivation and routes to diagnosis, including interaction terms between symptoms and sex and symptoms and age. Results: Female sex (OR vs. men 1.89 [1.28-2.79]; p = 0.001) and patients presenting with urinary tract infections (OR 2.22 [1.34-3.69]) and abdominal symptoms (OR 2.19 [1.30-3.70]) were associated with increased odds of advanced-stage bladder cancer (vs. haematuria, p = 0.016 for both). Women with haematuria and men with abdominal symptoms (compared with the opposite sex with the same presenting symptom) were more likely to have advanced-stage bladder cancer. Neither sex nor symptom associations were observed for renal cancer. Conclusion: Non-haematuria symptoms are associated with higher risk of advanced-stage bladder cancer. Greater risk of advanced-stage bladder cancer in women may reflect biological differences in haematuria onset and sex differences during diagnostic process. Identifying higher risk women with haematuria may reduce sex inequalities in bladder cancer outcomes.

Changes in Time to Initial Physician Contact and Cancer Stage Distribution during the COVID-19 Pandemic in Patients with Head and Neck Squamous Cell Carcinoma at a Large Hungarian Cancer Center.

The aim of our study was to compare the characteristics and time to initial physician contact in patients with head and neck squamous cell carcinoma (HNSCC) before and during the COVID-19 pandemic at a large Hungarian cancer center. This was a retrospective study of patients 18 years or older presenting at the regional cancer center of Pécs Clinical Center with HNSCC between 1 January 2017, and 15 March 2020 (the pre-COVID-19 period) and between 16 March 2020, and 13 May 2021 (the COVID-19 period). Demographic and clinical data were collected, and the time between initial symptom onset and initial physician contact (TTP) was determined. Descriptive and exploratory statistical analyses were performed. On average, the number of patients diagnosed with HNSCC per month during the pandemic decreased by 12.4% compared with the pre-COVID-19 period. There was a significant increase in stage I and stage II cancers (from 15.9% to 20.3% and from 12.2% to 13.8%, respectively; p < 0.001); a decrease in stage III and IVa,c cancers; and a significant increase in stage IVb cancers (from 6% to 19.9%; p < 0.001) during the pandemic. The median TTP increased during the pandemic from 43 to 61 days (p = 0.032). To our knowledge, this is the first study investigating the effect of COVID-19 on patients with HNSCC in the Central-Eastern European region. We found a bidirectional shift in cancer stages and increased TTP during the pandemic. Our findings highlight the necessity for more nuanced analyses of the effects of COVID-19.

Preoperative respiratory assessment predicts post-operative survival in stage IA non-small cell lung cancer.

Background: Respiratory impairment can lead to pulmonary complications after surgery; therefore, it should be considered when determining the choice of surgical procedure. Several studies have examined the relationship between preoperative respiratory function and postoperative mortality and morbidity after lung resection; however, there are no indicators for limited surgical procedure selection. The aim of this study was to examine the association between preoperative respiratory function and postoperative early and late complications, recurrence-free survival (RFS), and overall survival (OS) in patients undergoing pulmonary resection for stage I lung cancer. Methods: We performed a retrospective analysis of data from 192 patients undergoing pulmonary resection for primary pathological stage IA non-small cell lung cancer (NSCLC) at the Iwakuni Clinical Center in Japan between 2012 and 2015. We reviewed clinicopathological characteristics including preoperative pulmonary function and elucidated the relationship between them and postoperative survival. Results: Obstructive ventilatory impairment was present in 55 patients (28.6%), and restrictive ventilatory impairment was present in 31 patients (16.1%). Seven patients (3.6%) had both ventilatory impairment. Obstructive ventilatory impairment did not affect the 5-year RFS (P=0.08) or OS (P=0.21). However, restrictive ventilatory impairment reduced the 5-year RFS (P=0.002) and OS (P=0.009). The rates of early and late complications were not significantly different based on the preoperative respiratory function. Conclusions: In patients with preoperative restrictive ventilatory impairment in whom lobectomy or segmentectomy cannot be performed, careful consideration is needed for surgical indications.

Analysis of CDO1, PITX2, and CDH13 Gene Methylation in Early Endometrial Cancer for Prediction of Medical Treatment Outcomes.

An observational cohort study of patients diagnosed with endometrial cancer (EC) stage IA G1, or atypical endometrial hyperplasia (AEH), undergoing organ-preserving treatment, was conducted. OBJECTIVE OF THE STUDY: To determine CDO1, PITX2, and CDH13 gene methylation levels in early endometrial cancer and atypical hyperplasia specimens obtained before organ-preserving treatment in the patients with adequate response and with insufficient response to hormonal treatment. MATERIALS AND METHODS: A total of 41 endometrial specimens obtained during diagnostic uterine curettage in women with EC (n = 28) and AEH (n = 13), willing to preserve reproductive function, were studied; 18 specimens of uterine cancer IA stage G1 from peri- and early postmenopausal women (comparison group) were included in the study. The control group included 18 endometrial specimens from healthy women obtained by diagnostic curettage for missed abortion and/or intrauterine adhesions. Methylation levels were analyzed using the modified MS-HRM method. RESULTS: All 13 women with AEH had a complete response (CR) to medical treatment. In the group undergoing organ-preserving treatment for uterine cancer IA stage G1 (n = 28), 14 patients had a complete response (EC CR group) and 14 did not (EC non-CR group). It was found that all groups had statistically significant differences in CDO1 gene methylation levels compared to the control group (p < 0.001) except for the EC CR group (p = 0.21). The p-value for the difference between EC CR and EC non-CR groups was <0.001. The differences in PITX2 gene methylation levels between the control and study groups were also significantly different (p < 0.001), except for the AEH group (p = 0.21). For the difference between EC CR and EC non-CR groups, the p-value was 0.43. For CDH13 gene methylation levels, statistically significant differences were found between the control and EC non-CR groups (p < 0.001), and the control and EC comparison groups (p = 0.005). When comparing the EC CR group with EC non-CR group, the p-value for this gene was <0.001. The simultaneous assessment of CDO1 and CDH13 genes methylation allowed for an accurate distinction between EC CR and EC non-CR groups (AUC = 0.96). CONCLUSION: The assessment of CDO1 and CDH13 gene methylation in endometrial specimens from patients with endometrial cancer (IA stage G1), scheduled for medical treatment, can predict the treatment outcome.

A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma.

BACKGROUND: This study aimed to evaluate the efficacy of radiomics signatures derived from polyenergetic images (PEIs) and virtual monoenergetic images (VMIs) obtained through dual-layer spectral detector CT (DLCT). Moreover, it sought to develop a clinical-radiomics nomogram based on DLCT for predicting cancer stage (early stage: stage I-II, advanced stage: stage III-IV) in pancreatic ductal adenocarcinoma (PDAC). METHODS: A total of 173 patients histopathologically diagnosed with PDAC and who underwent contrast-enhanced DLCT were enrolled in this study. Among them, 49 were in the early stage, and 124 were in the advanced stage. Patients were randomly categorized into training (n = 122) and test (n = 51) cohorts at a 7:3 ratio. Radiomics features were extracted from PEIs and 40-keV VMIs were reconstructed at both arterial and portal venous phases. Radiomics signatures were constructed based on both PEIs and 40-keV VMIs. A radiomics nomogram was developed by integrating the 40-keV VMI-based radiomics signature with selected clinical predictors. The performance of the nomogram was assessed using receiver operating characteristic (ROC) curves, calibration curves, and decision curves analysis (DCA). RESULTS: The PEI-based radiomics signature demonstrated satisfactory diagnostic efficacy, with the areas under the ROC curves (AUCs) of 0.92 in both the training and test cohorts. The optimal radiomics signature was based on 40-keV VMIs, with AUCs of 0.96 and 0.94 in the training and test cohorts. The nomogram, which integrated a 40-keV VMI-based radiomics signature with two clinical parameters (tumour diameter and normalized iodine density at the portal venous phase), demonstrated promising calibration and discrimination in both the training and test cohorts (0.97 and 0.91, respectively). DCA indicated that the clinical-radiomics nomogram provided the most significant clinical benefit. CONCLUSIONS: The radiomics signature derived from 40-keV VMI and the clinical-radiomics nomogram based on DLCT both exhibited exceptional performance in distinguishing early from advanced stages in PDAC, aiding clinical decision-making for patients with this condition.

Prognostic performance of the 2023 FIGO staging schema for endometrial cancer.

OBJECTIVE: To assess the prognostic performance of the 2023 International Federation of Gynecology and Obstetrics (FIGO) endometrial cancer staging schema. METHODS: This retrospective cohort study queried the Commission-on-Cancer's National Cancer Database. Study population was 129,146 patients with stage I-IV endometrial cancer per the 2009 FIGO staging schema. Stage-shifting and overall survival (OS) were assessed according to the 2023 FIGO staging schema. RESULTS: Upstage (IA → II, 21.4 %; IB → II, 53.0 %) and downstage (IIIA→IA3, 22.2 %) occurred in both early and advanced diseases. Inter-stage prognostic performance improved in the 2023 schema with widened 5-year OS rate difference between the earliest and highest stages (68.2 % to 76.9 %). Stage IA1-IIB and IIC had distinct 5-year OS rate differences (85.8-96.1 % vs 75.4 %). The 5-year OS rate of the 2009 stage IIIA disease was 63.9 %; this was greater segregated in the 2023 schema: 88.0 %, 62.4 %, and 55.7 % for IIIA→IA3, IIIA1, and IIIA2, respectively (inter-substage rate-difference, 32.3 %). This 5-year OS rate of stage IA3 disease was comparable to the 2023 stage IB-IIB diseases (88.0 % vs 85.8-89.5 %). In the 2023 stage IIIC schema (micrometastasis rates: 29.6 % in IIIC1 and 15.6 % in IIIC2), micrometastasis and macrometastasis had the distinct 3-year OS rates in both pelvic (IIIC1-i vs IIIC1-ii, 84.9 % vs 71.1 %; rate-difference 13.8 %) and para-aortic (IIIC2-i vs IIIC2-ii, 82.9 % vs 65.2 %; rate-difference 17.7 %) nodal metastasis cases. The 5-year OS rate of the 2009 stage IVB disease was 23.4 %; this was segregated to 25.4 % for stage IVB and 19.2 % for stage IVC in the 2023 staging schema (rate-difference, 6.2 %). CONCLUSION: The 2023 FIGO endometrial cancer staging schema is a major revision from the 2009 FIGO schema. Almost doubled enriched sub-stages based on detailed anatomical metastatic site and incorporation of histological information enable more robust prognostication.

Identification of Gene Expression in Different Stages of Breast Cancer with Machine Learning.

Determining the tumor origin in humans is vital in clinical applications of molecular diagnostics. Metastatic cancer is usually a very aggressive disease with limited diagnostic procedures, despite the fact that many protocols have been evaluated for their effectiveness in prognostication. Research has shown that dysregulation in miRNAs (a class of non-coding, regulatory RNAs) is remarkably involved in oncogenic conditions. This research paper aims to develop a machine learning model that processes an array of miRNAs in 1097 metastatic tissue samples from patients who suffered from various stages of breast cancer. The suggested machine learning model is fed with miRNA quantitative read count data taken from The Cancer Genome Atlas Data Repository. Two main feature-selection techniques have been used, mainly Neighborhood Component Analysis and Minimum Redundancy Maximum Relevance, to identify the most discriminant and relevant miRNAs for their up-regulated and down-regulated states. These miRNAs are then validated as biological identifiers for each of the four cancer stages in breast tumors. Both machine learning algorithms yield performance scores that are significantly higher than the traditional fold-change approach, particularly in earlier stages of cancer, with Neighborhood Component Analysis and Minimum Redundancy Maximum Relevance achieving accuracy scores of up to 0.983 and 0.931, respectively, compared to 0.920 for the FC method. This study underscores the potential of advanced feature-selection methods in enhancing the accuracy of cancer stage identification, paving the way for improved diagnostic and therapeutic strategies in oncology.

Effect of Rurality in Head and Neck Cancer: A Scoping Review.

OBJECTIVES: This scoping review sought to evaluate the current literature regarding the following outcomes in relation to rurality: stage at diagnosis, clinical characteristics, treatment characteristics, and survival outcomes of head and neck cancer (HNC). DATA SOURCES: A literature search was performed using PubMed (MEDLINE), Science Direct, EMBASE, SCOPUS, and Web of Science databases. REVIEW METHODS: A 20-year study cutoff from the initial search was used to increase the comparability of the studies regarding population and standards of clinical care. These searches were designed to capture all primary studies reporting HNC incidence, presenting characteristics, treatments, and treatment outcomes. Two reviewers independently screened abstracts, selected articles for exclusion, extracted data, and appraised studies. Critical appraisal was done according to the Joanna Briggs Institute Quality Assessment Tool for Cohort Studies. FINDINGS: Twenty eligible original articles were included. Stage at diagnosis, clinical characteristics, treatment characteristics, and survival outcomes were measured. Our review indicates that although this relationship is unclear, there may be variations in treatment choice for laryngeal cancer based on geographic location and rural residency status. The studies assessing HNC outcomes related to stage at diagnosis, clinical characteristics, treatment characteristics, and overall survival demonstrated conflicting findings, indicating a need for further research examining HNC outcomes with a focus on rurality as the main exposure. CONCLUSIONS: The relationship between HNC and rural-urban status remains unclear. More studies are needed, along with a consistent metric for measuring rurality and recruitment of comparable populations from both rural and urban areas. Laryngoscope, 2024.

Analysis of risk factors for postoperative recurrence of stage I colorectal cancer: a retrospective analysis of a large population.

Background: Colorectal cancer (CRC) is the third most common cancer worldwide. Patients diagnosed with stage I CRC typically do not require postoperative adjuvant treatment. However, postoperative recurrence is present in at least 40% of patients with CRC and often occurs in those with stage I disease. This study aimed to elucidate the current status of recurrence and clinicopathological characteristics in patients with stage I CRC. Methods: Data of indicated patients were obtained from 18 registries in Surveillance, Epidemiology, and End Results (SEER). The multivariable Fine-Gray regression model was used to identify the mortality risk of patients. Disparities in survival were analyzed using Kaplan-Meier curves. Logistic regression was employed to identify factors associated with recurrent risk overestimation. Results: Our study indicated a recurrence rate of 15.04% (1,874/12,452) in stage I CRC cases. Notably, we identified race, age, T stage, and carcinoembryonic antigen (CEA) levels as independent risk factors for tumor recurrence, substantially impacting prognosis. Furthermore, gender, race (Black), age (>65 years), elevated CEA levels, and refusal or unknown status regarding radiotherapy significantly correlated with an adverse prognosis in patients with stage I CRC. Conclusions: We identified certain key clinicopathological features of patients with stage I CRC and demonstrated the survival benefits of radiotherapy, offering a new perspective on stage I CRC follow-up and treatment recommendations.

A Final Report on the Real Impact of the COVID-19 Pandemic on the Diagnosis of Gastrointestinal Cancer in Akita Prefecture, Japan in 2022.

The long-term impact of the coronavirus disease 2019 (COVID-19) pandemic on the disruption of gastrointestinal cancer diagnoses remains unclear. This study investigated the actual impact on esophagogastric cancer (EGC) and colorectal cancer (CRC) diagnoses up to the third year of the pandemic in Akita Prefecture, Japan, using population-based registry data. We collected data on the annual number of EGC and CRC diagnoses using a database from the collaborative Akita Prefecture hospital-based registration. The net number of cancers diagnosed in the first three years of the pandemic (2020-2022) were compared with those diagnosed in the three years before the pandemic (2017-2019). Changes in the proportion of cancer stage and initial treatment for diagnosed EGC and CRC after the pandemic were then compared. The total number of EGCs was 9.3% lower in the first three years of the pandemic than in the three years before, probably due to its long-term declining trend. The total number of CRCs in the first three years of the pandemic exceeded that in the three years before, suggesting successful recovery of the diagnostic procedure. The proportion of cancer stages and initial treatment for EGCs and CRCs remained largely unchanged after the onset of the pandemic. Based on the population-based registry data from the first three years of the pandemic, the disruption of gastrointestinal cancer diagnoses caused by the pandemic is settling down without any substantial disease progression, even in Akita Prefecture, the area with the highest incidence of cancer in all of Japan.

A nationwide case-referent study on elevated risks of adenocarcinoma lung cancer by long-term PM2.5 exposure in Taiwan since 1997.

BACKGROUND: The effects of long-term PM2.5 exposures since 1968 on adenocarcinoma lung cancer (AdLC) were not studied before. METHODS: This case-referent study used nationwide cancer registry data since 1997 and air pollution data since 1968 in Taiwan to estimate risks of 30-year PM2.5 exposures on AdLC. Cases were all AdLC, while references were all non-AdLC. Individuals' 30-year PM2.5 exposures were estimated by PM2.5 levels at their residence for 30 years prior their diagnosis dates. We applied multiple logistic regression analyses to estimate PM2.5 exposures on incidence rate ratios (IRRs) between cases and references, adjusting for sex, age, smoking, cancer stage, and EGFR mutation. RESULTS: Elevation in annual ambient PM2.5 concentrations since 1968 were associated with increase in annual age-adjusted AdLC incidence since 1997. AdLC incidences were higher among females, nonsmokers, the elderly aged above 65, cases of stages IIIB to IV, and EGFR mutation. Study subjects' PM2.5 exposures averaged at 33.7 ± 7.4 µg/m3 with 162 ± 130 high PM2.5 pollution days over 30 years. Multiple logistic models showed an increase in 10 µg/m3 of PM2.5 exposures were significantly associated with 1.044 of IRR between all AdLC and all non-AdLC cases during 2011-2020. Our models also showed that females and nonsmokers and adults less than 65 years had higher IRRs than their respective counterparts. Restricted analyses showed similar effects of PM2.5 exposures on IRRs between stage 0-IIIA and IIIB-IV cases and between EGFR+ and EGFR- cases. CONCLUSIONS: Long-term exposures to PM2.5 over 30 years were associated with elevated risks of AdLC against non-AdLC, regardless of gender, age, smoking status, cancer stage, or EGFR mutation.

Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study.

Efficiently detecting and treating cancer at an early stage is crucial to improve the overall treatment process and mitigate the risk of disease progression. In the realm of research, the utilization of artificial intelligence technologies holds significant promise for enhancing advanced cancer diagnosis. Nonetheless, a notable hurdle arises when striving for precise cancer-stage diagnoses through the analysis of gene sets. Issues such as limited sample volumes, data dispersion, overfitting, and the use of linear classifiers with simple parameters hinder prediction performance. This study introduces an innovative approach for predicting early and late-stage cancers by integrating hybrid deep neural networks. A deep neural network classifier, developed using the open-source TensorFlow library and Keras network, incorporates a novel method that combines genetic algorithms, Extreme Learning Machines (ELM), and Deep Belief Networks (DBN). Specifically, two evolutionary techniques, DBN-ELM-BP and DBN-ELM-ELM, are proposed and evaluated using data from The Cancer Genome Atlas (TCGA), encompassing mRNA expression, miRNA levels, DNA methylation, and clinical information. The models demonstrate outstanding prediction accuracy (89.35%-98.75%) in distinguishing between early- and late-stage cancers. Comparative analysis against existing methods in the literature using the same cancer dataset reveals the superiority of the proposed hybrid method, highlighting its enhanced accuracy in cancer stage prediction.

Smoking, Lung Cancer Stage, and Prognostic Factors-Findings from the National Lung Screening Trial.

BACKGROUND: Low-dose computed tomography (LDCT) increases the early detection of lung cancer. Identifying modifiable behaviors that may affect tumor progression in LDCT-detected patients increases the likelihood of long-term survival and a good quality of life. METHODS: We examined cigarette smoking behaviors on lung cancer stage, progression, and survival in 299 ever-smoking patients with low-dose CT-detected tumors from the National Lung Screening Trial. Univariate and multivariate Cox models were used to estimate the hazard ratio (HR) for smoking variables on survival time. RESULTS: Current vs. former smokers and early morning smokers (≤5 min after waking, i.e., time to first cigarette (TTFC) ≤ 5 min) had more advanced-stage lung cancer. The adjusted HR for current vs. former smokers was 1.3 (95% confidence interval [CI] 0.911-1.98, p = 0.136) for overall survival (OS) and 1.3 (0.893-1.87, p = 0.1736) for progression-free survival (PFS). The univariate hazard ratios for TTFC ≤ 5 min vs. >5 min were 1.56 (1.1-2.2, p = 0.013) for OS and 1.53 (1.1-2.12, p = 0.01) for PFS. Among current smokers, the corresponding HRs for early TTFC were 1.78 (1.16-2.74, p = 0.0088) and 1.95 (1.29-2.95, p = 0.0016) for OS and PFS, respectively. In causal mediation analysis, the TTFC effect on survival time was mediated entirely through lung cancer stage. CONCLUSION: The current findings indicate smoking behaviors at diagnosis may affect lung cancer stage and prognosis.

The Impact of Health Inequities on Population-Based Breast Cancer Survival in a Colombian Population, 2008-2015.

OBJECTIVE: To obtain breast cancer survival estimates in Manizales, Colombia, considering socioeconomic level, health insurance regime and residential area, while adjusting for age, histology and stage at diagnosis. METHODS: Analytical cohort study based on breast cancer incident cases recorded by the Population-based Manizales Cancer Registry between 2008-2015. Patients were followed-up for 60 months. Cause-specific survival was calculated using the Kaplan-Meier method for variables of interest, with the Wilcoxon-Breslow-Gehan test for differences. Cox multivariate regression models were fitted. RESULTS: 856 breast cancer cases were included. The 5-year cause-specific survival for the entire cohort was 78.2%. It was higher in women with special/exception health insurance, high socioeconomic level, <50 years old, ductal carcinoma, and stages I and II. Residential area did not impact survival. In Cox models, the subsidized health insurance regime (HR: 4.87 vs contributory) and low socioeconomic level (HR: 2.45 vs high) were predictors of the hazard of death in women with breast cancer, adjusted for age, histology, stage and interactions age-stage and insurance-stage. A positive interaction (synergistic effect modification) between health insurance regime and stage regarding to survival was observed. CONCLUSION: Socioeconomic factors significantly contribute to the inequities in breast cancer survival, independent of the stage at diagnosis. This suggests the need for comprehensive interventions to remove barriers to accessing the health system. This research provides evidence of survival gaps mediated by certain social determinants of health and generates data on the overall performance of the Colombian health system.