Outcomes In Cancer Survivors Research Articles

Statin use and ovarian cancer Outcomes.

Ovarian cancer contributed to 13,270 patient deaths in the United States during 2023, and is considered the most aggressive gynecologic malignancy. While surgery, chemotherapy and targeted medications have improved ovarian cancer patient outcomes, novel medications that further bolster treatment efficacy without compromising toxicity represent an unmet clinical need. In the current review, we assessed the reported studies involving statin use and ovarian cancer outcomes; a preponderance of the evidence indicated that statins confer a survival benefit in ovarian cancer, especially for patients who underwent statins post-diagnosis and for a prolonged interval. The evidence involving a potential survival benefit from statin use in ovarian cancer remains controversial, especially with hydrophilic statins (e.g. pravastatin). While statin users may exhibit better ovarian cancer survival outcomes than non-statins users, additional research should evaluate the putative survival benefits of statins in ovarian cancer via randomized controlled trials.

A comprehensive investigation of associations between cell death pathways and molecular and clinical features in pan-cancer.

Regulated cell death (RCD) pathways play significant roles in tumorigenesis. However, systematic investigation into correlations between RCD and various molecular and clinical features, particularly anti-tumor immunity and immunotherapy response in pan-cancer remains lacking. Using the single-sample gene set enrichment analysis, we quantified the activities of six RCD pathways (apoptosis, autophagy, ferroptosis, cuproptosis, necroptosis, and pyroptosis) in each cancer specimen. Then, we explored associations of these six RCD pathways with tumor immunity, genomic instability, tumor phenotypes and clinical features, and responses to immunotherapy and targeted therapies in pan-cancer by statistical analyses. Our results showed that the RCD (except autophagy) activities were oncogenic signatures, as evidenced by their hyperactivation in late stage or metastatic cancer patients, positive correlations with tumor proliferation, stemness, genomic instability and intratumor heterogeneity, and correlation with worse survival outcomes in cancer. In contrast, autophagy was a tumor suppressive signature as its associations with molecular and clinical features in cancer shows an opposite pattern compared to the other RCD pathways. Furthermore, heightened RCD (except cuproptosis) activities were correlated with increased sensitivity to immune checkpoint inhibitors. Additionally, elevated activities of pyroptosis, autophagy, cuproptosis and necroptosis were associated with increased drug sensitivity in a broad spectrum of anti-tumor targeted therapies, while the elevated activity of ferroptosis was correlated with decreased sensitivity to numerous targeted therapies. RCD (except autophagy) activities correlate with unfavorable cancer prognosis, while the autophagy activity correlate with favorable clinical outcomes. RCD (except cuproptosis) activities are positive biomarkers for anti-tumor immunity and immunotherapy response.

Cannabis Use Among Cancer Patients During Active Treatment: Findings From a Study at an NCI-Designated Cancer Center.

This study aims to describe patterns, sources, and reasons for cannabis use among cancer patients during active treatment (+CDTX) compared to no-use during active treatment (-CDTX). Data are from 385 surveys collected via REDCap during phase I of an ongoing study among adult cancer patients seen at an NCI-designated comprehensive cancer center within the last 5 years of treatment. A harmonized survey was created with 11 other NCI centers to assess cannabis use patterns, sources, and reasons for use. Sociodemographics and cancer details were also collected via self-report. Descriptive statistics were calculated and stratified by +/-CDTX. Chi-squared tests were conducted to compare proportions between groups. Among the sample [49.5 years (SD 15.9); 53.0% male; and 41.6% Hispanic/Latino], 41.0% + CDTX and 59.0% -CDTX. A majority (71.8%) of +CDTX initiated use before diagnosis versus 44.1% in -CDTX (p < 0.0001); patients diagnosed with stage 4 cancer had a statistically significant higher prevalence of +CDTX (60.0%; p = 0.003); 53.3% in radiation reported +CDTX compared to 42.8% in chemotherapy, and 36.4% in immunotherapy. Dispensaries and local dealers were the top sources of cannabis in both groups. Among +CDTX, 44.3% consumed cannabis at least once a day DTX, dominant cannabinoids used were CBD (35.2%), Delta-8-THC (18.3%), and CBD + THC ratio (14.1%); 12.7% were unsure what they consumed. Joints were the most common inhalation method (61.5%), and store-bought candy was the most common edible (39.2%). Depression/mood, pain, and enjoyment were the top three reasons for +CDTX compared to enjoyment, depression/mood, and nausea/upset stomach in -CDTX (p = 0.02). Patterns, sources, and reasons for cannabis use varied between +CDTX and -CDTX. Future studies should examine the impacts of cannabis and specific cannabinoids on cancer treatment, drug interactions, survival outcomes, and quality of life.

Ovarian cancer survival outcomes of debulking surgery in the hyperthermic intraperitoneal chemotherapy (HIPEC) era

Ovarian cancer survival outcomes of debulking surgery in the hyperthermic intraperitoneal chemotherapy (HIPEC) era

Survival Outcomes of an Early Intervention Smoking Cessation Treatment After a Cancer Diagnosis

Smoking after a cancer diagnosis increases mortality and risk for a second cancer. To determine the association between time of entry into a smoking cessation intervention following a cancer diagnosis and survival outcomes. Using a prospective cohort study design, patients with cancer who smoked and received cessation treatment were assessed at 3 months, 6 months, and 9 months following tobacco treatment onset. Survival outcomes of tobacco treatment were measured and compared among patients at the MD Anderson Cancer Center Tobacco Research and Treatment Program. Treatment occurred between January 1, 2006, and March 3, 2022. Patients were excluded if they died before the tobacco treatment ended, received their diagnosis more than 6 months after beginning cessation treatment, or lacked staging information. The data analysis took place from September 2023 to May 2024. Cessation treatment consisted of 6 to 8 personalized counseling visits and 10 to 12 weeks of pharmacotherapy. More than 95% of visits were provided via telemedicine. The primary outcomes were survival as recorded in the MD Anderson Cancer Center tumor registry and 7-day point prevalence abstinence at each follow-up. The main analytical sample consisted of 4526 currently smoking patients diagnosed with cancer and receiving cessation treatment (2254 [49.8%] female; median [IQR] age, 55 [47-62] years). Survival over 15 years increased for those quitting smoking at 3 months (adjusted hazard ratio [aHR], 0.75 [95% CI, 0.67-0.83]), 6 months (aHR, 0.79 [95% CI, 0.71-0.88]), and 9 months (aHR, 0.85 [95% CI, 0.76-0.95]) of follow-up. The optimal survival outcomes were observed for patients who received tobacco treatment within 6 months of a cancer diagnosis. At the 75th percentile, their survival increased from 2.1 years (95% CI, 1.8-2.4 years) among continuing smokers (nonabstainers) vs 3.9 years (95% CI, 3.2-4.6 years) for patients who quit (abstainers). Similar but less pronounced outcomes were noted when tobacco treatment began within 6 months to 5 years following diagnosis, with survival at the 75th percentile of 4.8 years (95% CI, 4.3-5.3 years) for nonabstainers vs 6.0 years (95% CI, 5.1-7.2 years) for abstainers. The results of this prospective cohort study suggest that evidence-based smoking cessation treatment within 6 months following a cancer diagnosis maximizes survival benefit. This study supports smoking cessation as an important early clinical intervention for patients after being diagnosed with cancer.

Exploring treatment decision-making at diagnosis for children with advanced cancer in low- and middle-income countries

PurposeGlobal childhood cancer survival outcomes correlate with regional contextual factors, yet upfront treatment decision-making for children with advanced or poor prognosis cancer in low- and middle-income countries (LMICs) is not well understood. This study aimed to (1) characterize the landscape of contextual factors that shape physician decision-making at diagnosis for these children in LMICs and (2) describe physician rationales for if/when to offer treatment with non-curative intent, including how they define “poor prognosis” during treatment decision-making.MethodsAn international panel of pediatric oncologists practicing in LMICs participated in two focus groups structured for the collaborative generation of factors influencing treatment decision-making, including consideration of non-curative treatment pathways at diagnosis. Thematic analysis of qualitative data was conducted, followed by member checking.ResultsEleven pediatric oncologists participated, representing all global regions defined by the World Health Organization. Participants identified a broad range of factors influencing decision-making across multiple levels, including the individual, hospital, health system, community, and country levels. All participants agreed that treatment with non-curative intent could be offered at diagnosis in certain contexts, and diverse definitions for poor prognosis were described.ConclusionsUpfront treatment decision-making for children with advanced or poor prognosis cancer in LMICs is variable and challenging. Difficulties with decision-making in LMICs may be amplified by inconsistent definitions of poor prognosis and underrepresentation of the factors that influence treatment decision-making within existing decision-making frameworks or childhood cancer treatment guidelines. Future research should explore decision-making approaches, preferences, and challenges in depth from the perspectives of pediatric cancer patients, families, and multidisciplinary clinicians.

Correlation analysis of Ki67 changes with survival outcomes in breast cancer before and after neoadjuvant therapy based on residual cancer Burden grade

PurposeThis study aims to investigate the change of Ki67 value pre- and post-neoadjuvant therapy (NAT) and evaluate its potential value in predicting survival outcomes in different molecular subtypes of breast cancer. MethodsA total of 257 breast cancer patients who underwent NAT at Renmin Hospital of Wuhan University from July 2019 to Sep 2023 were included in this study. The Ki67 index of the patients was re-interpreted by two attending physicians, and the changes of Ki67 value pre- and post-NAT were compared. Chi-square test (χ2) and logistic regression were conducted to examine the correlation between various characteristics and the efficacy of NAT. Disease-free survival (DFS) was calculated using the Kaplan-Meier curve and compared using the log-rank test. ResultsPatients with higher histological grade, negative expression of estrogen receptor (ER) or progesterone receptor (PR), positive expression of human epidermal growth receptor 2 (HER2), higher pretreatment Ki67 index, absence of lymph node metastasis, and those with HER2 positive and triple-negative breast cancer were associated with improved efficacy of NAT. Our study identified that the optimal cut-off value for the changes in Ki67 index pre- and post-NAT related to the effectiveness of NAT was “-88.19 %” in whole chort, which was related to the aforementioned clinical characteristics. Besides, the optimal cut-off values for the luminal, HER2-enriched and triple-negative subtypes were “-91.83 %”, “-46.12 %” and “-81.67 %”, respectively. Survival analysis demonstrated that the changes in Ki67 value were significantly associated with DFS in the HER2-enriched and triple-negative subtype, but not in the luminal subtype. ConclusionsPreoperative clinicopathological features and changes in Ki67 value pre-and post-NAT can contribute to providing patients with a more accurate prognosis.

P16 status or response to induction chemotherapy, which predicts survival outcomes in Chinese oropharyngeal cancer treated with definitive radiotherapy?

PurposeTo identify whether p16 status or response to induction chemotherapy (IC) predicts the radiotherapy (RT) response and survival outcomes in Chinese oropharyngeal squamous cell carcinoma (OPSCC). MethodsA total of 211 patients, including 128 p16-positive and 83 p16-negative were analyzed. All patients underwent IC followed by definitive RT or concurrent chemoradiotherapy (CCRT). Propensity score matching (PSM) was used to eliminate the baseline variations. ResultsAge, sex, smoking history, alcohol history, and primary site were unbalanced between different p16 status subgroups. Before PSM, the objective response rates to IC between p16-positive and p16-negative groups were 80.5 % and 85.5 % (p = 0.344). After RT, the complete response (CR) rates were 73.4 % and 66.3 %, respectively (p = 0.264). IC-sensitive (IC-s) subgroups had a higher percentage of RT-CR rate than the IC-resistant (IC-r) subgroups in both p16-positive and p16-negative patients. IC-s showed significant improvement in cancer-specific survival (CSS) (92.9 % vs. 53.6 %, p < 0.0001), progression-free survival (PFS) (p < 0.0001), locoregional relapse-free survival (LRFS) (p < 0.0001) and distant metastasis-free survival (DMFS) (p = 0.025). After PSM, the CR rates among different p16 groups remained comparable following RT (71.2 % vs. 65.8 %, p = 0.476). Before or after PSM, CSS, PFS, LRFS, and DMFS were similar between different p16 status either in IC-s or IC-r subgroups (p > 0.05). IC-r was independently associated with shorter PFS (HR = 2.661, p = 0.002) and LRFS (HR = 2.876, p = 0.002; HR = 2.78, p = 0.018). ConclusionsResponse to IC is an important predictor of prognosis in Chinese OPSCC treated with definitive RT. Poor response to IC is associated with unsatisfactory outcomes either in p16-positive or p16-negative OPSCC.

Hiding in plain sight: Cooperative Extension as an underutilized approach to improving cancer survivorship outcomes in underserved populations.

Explore the potential utility of a Cooperative Extension-specific program to support post-active treatment cancer survivors. A user-centered study was conducted to identify barriers to and facilitators of the implementation of a program for adult cancer survivors living post primary cancer treatment ("cancer survivors") via Cooperative Extension("Extension"), including interviews analyzed using the Consolidated Framework for Implementation Research. Participants included Cooperative Extension Educators and adult cancer survivors in Oklahoma who completed data collection from July 2023 to September 2023. N = 20 participants were enrolled. Cancer survivors indicated poor familiarity with Extension, or a primary association with agriculture. Some voiced surprise Extension was not already providing cancer-related programming. Many expressed poor support in their communities due to issues secondary to rurality, often relying on non-cancer programs. Educators voiced a strong capability to deliver cancer-related programming if intentionally designed, with many already providing education on relevant topics (e.g., finances, nutrition, physical activity). A salient barrier was poor connectivity with the healthcare system. There is an immense need for improved survivorship care in underserved communities due to poor social connectedness, support structures, and poor mental health. Cooperative Extension is well-poised to deliver cancer survivorship-specific programming. Cooperative Extension provides an extensive network of professionals who can provide support to cancer survivors, particularly those post-active treatment.

Patient-reported outcomes in cancer survivorship: insights from two decades of population-based PROFILES registry research.

When the field of cancer survivorship research was in its infancy, the PROFILES registry was set up in 2004 to monitor patient-reported outcomes (PROs) in survivors and a normative population. This scoping review aims to summarize lessons learned from developing a population-based PRO registry, focusing on study methodologies, data collection shifts, data utilization, multidisciplinary collaboration, societal impact, and data sharing. A systematic computerized literature search through PubMed was performed to collect all publications using data from the PROFILES registry between January 1, 2004, and December 31, 2023. The PROFILES registry's research today encompassed 249 papers from 35 studies. Key insights include the importance of multi-hospital collaboration, which enhances participant inclusion and result generalizability. Optimizing response rates and patient inclusion is achieved through proactive data collection methods such as inclusion by health care professionals, and using both web-based and paper questionnaires. Longitudinal studies, despite their intensive data collection efforts, provide critical insights into the consequences of cancer and its treatment on patient-reported outcomes (PROs) from diagnosis through survivorship. Combining PRO data with comprehensive clinical registry data ensures reliable datasets, crucial for drawing meaningful conclusions. The shift towards multidisciplinary collaboration, open-access publishing, and data sharing all contribute to accessible and impactful research. This review highlights key insights from the PROFILES registry, emphasizing multi-hospital collaboration, proactive data collection, and the integration of PROs with clinical data. These lessons can guide future research on cancer survivorship, improving methodologies to enhance survivorship care and quality of life through multidisciplinary collaboration and data sharing.

The prognostic value of skeletal muscle mass and density in breast cancer: a systematic review and meta-analysis.

Aim: The effect of skeletal muscle mass and density on the long-term survival outcome of breast cancer patients is unclear.Materials & methods: Systematically searched all articles in PubMed, Web of science, Springerlink, EMBASEand Wiley databases that studied the association between skeletal muscle and survival outcomes of breast cancer by 25September 2023. The hazard ratios and confidence intervals of the multiple factor analysis results controlling for confounding variables in the study were collected and analyzed using STATA 14.0 software.Results: This meta-analysis included a total of 13 studies, with a median age of 48.2years. Meta results showed that the survival (hazard ratio [HR]: 0.98, 95% CI: 0.89-1.08) and recurrence (HR: 0.96, 95% CI: 0.92-1.00) outcomes of breast cancer patients with sarcopenia were not significantly affected compared with those without sarcopenia. No significant heterogeneity or publication bias was observed in the study.Conclusion: The conclusion that skeletal muscle is regarded as a useful factor that can guide and optimize the prognosis of breast cancer patients is uncertain, or the result is very weak. Considering the impact of research quality and confounding factors, prospective studies are needed in the future to further demonstrate.PROSPERO identifier: CRD42023463480 (www.crd.york.ac.uk/prospero).

Enhanced patient journey associated with improved overall survival in colon cancer patients: A study by the Ligurian Oncology Network.

Colon cancer imposes a significant burden on global healthcare systems, necessitating efforts to improve oncology care quality and patient outcomes. We studied the correlation between care quality and survival outcomes among colon cancer patients within the Ligurian Oncology Network (Italy). We developed an Overall Quality Score (OQS) to evaluate the impact of oncology care quality on survival outcomes within the Ligurian Oncology Network. OQS indicators were selected through expert consensus, covering screening, diagnosis, treatment, and follow-up. A sample of colon cancer patients diagnosed in 2012 was randomly selected from administrative healthcare data. Analyses were performed using two models: a binary model (High and Low OQS) and a stratified model (Low, Medium, and High OQS). Statistical analysis involved survival curves, log-rank tests, and Cox proportional hazards models using SAS 9.4. Of 175 eligible colon cancer patients, 150 were included. Following a median follow-up of 7.6 years, a correlation between High-OQS (⩾ 65%) and prolonged disease-free survival was observed (unadjusted HR 0.57, 95%CI 0.33-0.99, log-rank p=0.041). The five-year disease-free survival rate for High-OQS patients was 70% (95%CI 57-80%), compared to 53% (95%CI 41-64%) for Low-OQS patients. Similarly, the five-year overall survival rate was 78% (95%CI 65-86%) for High-OQS patients, compared to 58% (95%CI 45-68%) for Low-OQS patients (unadjusted HR 0.56, 95%CI 0.31-1.00, log-rank p=0.048). Our findings highlight the potential impact of the patient journey on colon cancer survival outcomes. Optimising care pathways might improve patient outcomes in colon cancer management.

Real world clinical outcomes from targeted intraoperative radiotherapy (TARGIT-IORT) during lumpectomy for breast cancer: data from a large cohort at a national cancer institute.

Randomised evidence supports the use of partial breast irradiation (PBI) with targeted intraoperative radiotherapy (TARGIT-IORT) for early stage breast cancer, but prospective data from real-world adoption of this technique is also important. The aim of this study was to determine if the outcome reported in TARGIT-A trial could be replicated in large cohort of early stage breast cancer treated with TARGIT-IORT. This prospective observational study analysed all patients treated with TARGIT-IORT between 2004 and 2021 in a single national cancer institute. TARGIT-IORT during lumpectomy was performed according to the risk-adapted TARGIT-A protocol using the Intrabeam® device. We analysed the completeness of follow up, 5-year in-breast-tumour-recurrence (IBTR), long term local recurrence free survival, distant disease-free survival, overall survival and breast-cancer-related survival, using the Kaplan-Meier method. A covariate analysis was performed to investigate risk factors for IBTR. We also analysed high grade toxicity events. The study included 814 patients and the a median follow up was 72 months. The majority of patients (60.3%) received TARGIT-IORT as PBI modality ("exclusive IORT" group); 39.7% received additional EBRT. There was no significant difference between the 5 years IBTR for the whole study population and the "exclusive IORT" cohort (1.6% (95%CI=1.1-2.1%) and 2.5% (95%CI=1.7%-3.3%) respectively). 5 years overall survival and tumour related survival were >95%. In 21% of patients with recurrence, breast was preserved. Radiotherapy toxicity (CTCAE Grade>2) was very rare (0.9%). This large single institute study found that breast cancer control and survival outcomes with TARGIT-IORT were consistent with TARGIT-A trial results. This "real world" experience confirmed that the randomised evidence showing the value of TARGIT-IORT as partial breast irradiation modality that can be replicated in routine clinical practice.

Characteristics and Survival Outcomes of Male Breast Cancer in Brazil: A Large Population-Based Study

AimsThis study evaluated the clinicopathological characteristics, treatment trends, and overall survival (OS) in male breast cancer (BC) in Sao Paulo State of Brazil. Materials and methodsMen diagnosed with invasive breast cancer between January 2000 and June 2020 were identified from Fundação Oncocentro de Sao Paulo database encompasses data pertinent to 46 million residents of the Sao Paulo State of Brazil. Patients were described according to age, education level, clinical stage, treatment modalities, and medical practice. Categorical variables were described as percentages and frequencies. Demographic, treatment factors, and OS were associated using a Cox proportional hazard regression model while accounting for different lengths of participant follow-up. The Kaplan-Meier curves were used to display survival curves. ResultsA total of 907 male BC patients were included. The age distribution at diagnosis was <51 years, 51–70 years, and >70 years in 21.5%, 51.5% and 27.0% of patients, respectively. The proportions of stages I, II, III, and IV were 19.5%, 36.6%, 31.5%, and 12.3%. For each stage I, II, III, and IV, 5- and 10-years OS were 87.9% and 77.8%, 79.9% and 58.9%, 51.6% and 24.5%, 20.0% and 5.6%, respectively. Patients who received postoperative radiotherapy experienced a significant improvement in OS (HR 0.67; 95% CI 0.53–0.84; p < 0.001). In the multivariable analysis adjusted for practice (public or private), education (low or medium/high), age, stage at diagnosis, and treatment modalities, the significant independent predictor for OS was stage at diagnosis. ConclusionMale BC tends to be diagnosed at a more advanced stage and older age at the time of diagnosis. Age and educational level did not influence survival outcomes. Stage at diagnosis and the use of postoperative radiotherapy were factors associated with improved OS.

EP.06D.04 Prognostic Value of Variant Allele Frequency in Circulating Tumor DNA for Survival Outcomes in Metastatic Non-Small Cell Lung Cancer

EP.06D.04 Prognostic Value of Variant Allele Frequency in Circulating Tumor DNA for Survival Outcomes in Metastatic Non-Small Cell Lung Cancer

Machine learning applications in breast cancer survival and therapeutic outcome prediction based on multi-omic analysis.

The high heterogeneity within and between breast cancer patients complicates treatment determination and prognosis assessment. Treatment decision-making is influenced by various factors, such as tumor subtype, histological grade, and genotype, necessitating personalized treatment strategies. Prognostic outcomes vary significantly depending on patient-specific conditions. As a critical branch of artificial intelligence, machine learning efficiently handles large datasets and automates decision-making processes. The introduction of machine learning offers new solutions for breast cancer treatment selection and prognosis assessment. In the field of cancer therapy, traditional methods for predicting treatment and survival outcomes often rely on single or few biomarkers, limiting their ability to capture the complexity of biological processes comprehensively. Machine learning analyzes patients' multi-omic data and the intricate patterns of variations during cancer initiation and progression to predict patients' survival and treatment outcomes. Consequently, it facilitates the selection of appropriate therapeutic interventions to implement early intervention and improve treatment efficacy for patients. Here, we first introduce common machine learning methods, and then elaborate on the application of machine learning in the field of survival prediction and prognosis from two aspects: evaluating survival and predicting treatment outcomes for breast cancer patients. The aim is to provide breast cancer patients with precise treatment strategies to improve therapeutic outcomes and quality of life.

Ten-year survival outcomes of video-assisted thoracic surgery vs. open major lung resection for stage I-III non-small cell lung cancer: a large cohort study in China.

Despite the widespread adoption of video-assisted thoracoscopic surgery (VATS) for major lung resection, the 10-year long-term survival outcomes of non-small cell lung cancer (NSCLC) treated with VATS compared with open major lung resection is lacking. The purpose of this study was to analyze the short- and long-term outcomes of VATS vs. open major lung resection for NSCLC. The perioperative outcomes and long-term survival of p-stage I-III NSCLC patients who underwent major lung resection via VATS vs. open major lung resection in the Western China Lung Cancer Database (WCLCD) between May 2006 and June 2018 were studied using propensity score matching (PSM). Of the 10,167 patients who underwent surgery for lung malignancies, 6,405 patients with stage I-III NSCLC were included in the study, including 4,224 in the VATS group and 2,181 in the open group. PSM resulted in 1,487 patients in both the VATS and open groups. The patients were matched by patient demographics, Charlson comorbidity index (CCI), tumor histology and TNM stage. Compared with open surgery, major lung resection via VATS resulted in less blood loss (median: 50 vs. 100 mL, P<0.001) and a shorter postoperative hospital stay (7.6±6.0 vs. 8.6±4.9 days, P<0.001) but higher total hospital costs (52.5±21.2 vs. 45.0±16.4 kRMB, P<0.001). The matched cohort showed that patients who underwent major lung resection via VATS had better overall survival (OS) and recurrence-free survival (RFS) than did patients who underwent major lung resection via open surgery (5-year survival: 64.9% vs. 57.7%, P<0.001; 5-year RFS: 50.3% vs. 45.3%, P=0.003). Patients who underwent VATS had a better 10-year OS rate (47.8% vs. 42.6%). According to the subgroup analysis, patients with stage II NSCLC who underwent major lung resection via VATS had better OS and RFS (OS: P<0.001; RFS: P=0.004), while there were no significant differences in OS or RFS between stage I and III NSCLC patients. Major lung resection via the VATS should be the preferred surgical option for stage I-III NSCLC patients due to its superior long-term survival outcome and advantages of less blood loss and shorter postoperative hospital stays.

Sex differences in survival outcomes of early-onset colorectal cancer

Colorectal cancer (CRC) is one of the most fatal cancers in the United States. Although the overall incidence and mortality rates are declining, an alarming rise in early-onset colorectal cancer (EOCRC), defined as CRC diagnosis in patients aged < 50 years, was previously reported. Our study focuses on analyzing sex-specific differences in survival among EOCRC patients and comparing sex-specific predictors of survival in both males and females in the United States. We retrieved and utilized data from the Surveillance, Epidemiology, and End Results (SEER) program. EOCRC patients, between the ages of 20 and 49, were exclusively included. We conducted thorough survival analyses using Kaplan–Meier curves, log-rank tests, Cox regression models, and propensity score matching to control for potential biases. Our study included 58,667 EOCRC patients (27,662 females, 31,005 males) diagnosed between 2000 and 2017. The baseline characteristics at the time of diagnosis were significantly heterogeneous between males and females. Males exhibited significantly worse overall survival (OS), cancer-specific survival (CSS), and noncancer-specific survival (NCSS) in comparison to females in both the general cohort, and the matched cohort. Predictors of survival outcomes generally followed a similar pattern in both sexes except for minor differences. In conclusion, we identified sex as an independent prognostic factor of EOCRC, suggesting disparities in survival between sexes. Further understanding of the epidemiological and genetic bases of these differences could facilitate targeted, personalized therapeutic approaches for EOCRC.

Thioredoxin System Protein Expression in Carcinomas of the Pancreas, Distal Bile Duct, and Ampulla in the United Kingdom.

Background: Poor survival outcomes in periampullary cancer highlight the need for improvement in biomarkers and the development of novel therapies. Redox proteins, including the thioredoxin system, play vital roles in cellular antioxidant systems. Methods: In this retrospective study, thioredoxin (Trx), thioredoxin-interacting protein (TxNIP), and thioredoxin reductase (TrxR) protein expression was assessed in 85 patients with pancreatic ductal adenocarcinoma (PDAC) and 145 patients with distal bile duct or ampullary carcinoma using conventional immunohistochemistry. Results: In patients with PDAC, high cytoplasmic TrxR expression was significantly associated with lymph node metastasis (p = 0.033). High cytoplasmic and nuclear Trx expression was significantly associated with better overall survival (p = 0.018 and p = 0.006, respectively), and nuclear Trx expression remained significant in multivariate Cox regression analysis (p < 0.0001). In distal bile duct and ampullary carcinomas, high nuclear TrxR expression was associated with vascular (p = 0.001) and perineural (p = 0.021) invasion, and low cytoplasmic TxNIP expression was associated with perineural invasion (p = 0.025). High cytoplasmic TxNIP expression was significantly associated with better overall survival (p = 0.0002), which remained significant in multivariate Cox regression analysis (p = 0.013). Conclusions: These findings demonstrate the prognostic importance of Trx system protein expression in periampullary cancers.

Abstract A088: Examining associations between objective and perceived stress and allostatic load in African American prostate cancer survivors

Abstract Background. Racial disparities in prostate cancer survivorship persist despite clinical advancements. Stress has been implicated as a potential driver of these disparities, with both chronic and perceived stress found to be associated with adverse cancer survivorship. Allostatic load (AL), one such marker of chronic stress, has been associated with decreased survivorship and worse quality of life (QoL) in cancer survivors. Perceived stress has also been associated with outcomes in cancer survivorship including increased symptom burden and worse quality of life. Despite this, few studies incorporate direct measures of stress or examine how these measures contribute to AL This study examines the relationship between AL, objective stress (as measured by occurrence of stressful life events), and self-reported perceived stress in a subset of African American prostate cancer survivors (N=59) enrolled in Men Moving Forward, a randomized trial to improve body composition through lifestyle change. Methods. At baseline, participants completed an adapted version of the Crisis in the Family Systems (CRISYS) survey, an instrument designed to measure recent (past 4 months) contemporary life stressors. The survey was tailored for AAPCS via feedback from the community advisory board. 41 items reflective of 11 domains were included. Overall CRISYS scores and scores by domain were calculated. Feelings of perceived stress in the past month were measured via the 10-item perceived stress scale, with higher scores reflecting higher perceived stress. AL scores used 15 criterion reflecting neuroendocrine, cardiovascular, immune, and metabolic systems. Each criterion was assigned a score of 0 or 1: 1 if in the high-risk range based on clinical guidelines. An index score was generated by summing high-risk indicators. Pearson correlations were used to explore the relationship between stress measures. Logistic regression comparing the those with highest quartile AL to lower AL was also performed. Results. The mean AL score was 5.6 (SD ± 2.4) of a maximum score of 15. The mean summative score for CRISYS was 4.8 (SD ± 3.3). The most common domains of stress experienced were safety in the community (67%), relationships (66%), and medical issues of loved ones (44%). The Mean PSS was 11.5 (SD ± 6.0), with 64% of men reporting low stress and 36% moderate stress levels. Significant correlations were found between CRISYS and PSS, however no correlations with AL were detected. No significant findings were identified in the regression analysis. Conclusions. Objective and perceived stress measures were correlated, but no associations were found between the perceived or objective stress measure and AL in this sample.. Given AL is meant to reflect the physiological impact of cumulative and chronic stress burdens, it is possible that the shorter-term context of the objective (past 4 months) and perceived stress (past month) measures were not sufficiently aligned with the longer-term context of AL. Citation Format: Iwalola Awoyinka, Deepak Kilari, Kathryn Bylow, Jennifer Knight, Alexis Visotcky, Anjishnu Banerjee, Patricia Sheean, Paula Papanek, Melinda Stolley. Examining associations between objective and perceived stress and allostatic load in African American prostate cancer survivors [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A088.