Recurrent Adenocarcinoma Research Articles

Abstract A058: Tumour-associated myeloid cells expressing IL-10R2/IL-22R1 as a potential biomarker for diagnosis and recurrence of pancreatic ductal adenocarcinoma

Abstract Pancreatic ductal adenocarcinoma (PDAC) is an aggressive cancer with a poor prognosis, largely due to late diagnosis and limited treatment options. The immunosuppressive tumor microenvironment (TME) further exacerbates the situation, hindering the effectiveness of traditional therapies. This study investigates the potential of IL-10R2/IL-22R1 expressing immune cells as novel biomarkers for early PDAC detection and recurrence monitoring, offering a potential avenue for improved patient outcomes. The research revealed a significant increase in the number of IL-10R2/IL-22R1 expressing immune cells in the peripheral blood of PDAC patients compared to healthy controls. These cells were found to infiltrate PDAC tissue and exhibit immunosuppressive functions, contributing to the TME's suppression of the immune response. Further investigation using a mouse model of PDAC demonstrated that early tumor progression was accompanied by a rise in IL-10R2/IL-22R1 expressing immune cells in the blood, highlighting their potential role in tumor development. In post-pancreatectomy patients, the study observed that elevated levels of IL-10R2+ immune cells were associated with earlier recurrence compared to the currently employed biomarker, CA19-9. This finding suggests that IL-10R2/IL-22R1 expressing immune cells could serve as valuable tools for predicting PDAC recurrence and potentially improving treatment outcomes. This research provides compelling evidence for the potential of IL-10R2/IL-22R1 expressing immune cells as promising biomarkers for early PDAC diagnosis and recurrence monitoring. However, further research is crucial to comprehensively understand their generation, function, and clinical utility. Larger-scale studies are needed to validate these findings and translate them into practical clinical applications for improved patient care. Citation Format: Hyung Keun Lee, So Young Kim, Soo-Hyun Chung, Sung Ill Jang, Bongkun Choi, Ji-Eun Kim, Dohee Yoon, Areum Yeo, Hyun Goo Kang, Jusung Lee, Yoon Ha Choi, Joon Seong Park, Yoolim Sung, Jong Kyoung Kim, Eun-Ju Chang, Dong Ki Lee. Tumour-associated myeloid cells expressing IL-10R2/IL-22R1 as a potential biomarker for diagnosis and recurrence of pancreatic ductal adenocarcinoma [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A058.

Combination of grade and spread through air spaces (STAS) predicts recurrence in early stage lung adenocarcinoma: a retrospective cohort study.

Adenocarcinomas, a common subtype of lung cancer, exhibit diverse histological patterns. In 2020, The International Association for the Study of Lung Cancer (IASLC) introduced a grading system emphasizing high-grade components, which has shown prognostic value. Spread through air spaces (STAS) is recognized as a prognostic feature increasing the risk of recurrence in lung cancer. This study evaluates the combination of STAS status and the IASLC-grading system in surgically resected Stage I lung adenocarcinomas. This study is a retrospective analysis of 123 patients with Stage I lung adenocarcinoma who underwent lobectomy between 2011 and 2019. Histological patterns were assessed according to the IASLC criteria, and STAS status was documented. Patients were categorized based on their IASLC Grade and STAS status. Statistical analyses included Kaplan-Meier survival estimates, Cox proportional hazards models, and comparisons using Chi-square and t-tests. The cohort comprised 43 females and 80 males with a mean age of 61.8 ± 7.6years. STAS positivity was noted in 52.8% of patients. STAS positivity correlated significantly with Grade 3 tumors (p < 0.001). The 5-year recurrence-free survival was significantly lower in STAS-positive patients (70.7% vs. 88.7%, p = 0.026). Patients with Grade 3 and STAS positivity had significantly lower recurrence-free survival compared to other groups (p = 0.002). Grade 3 and STAS positivity were independent predictors of poor recurrence-free survival in multivariate analysis. IASLC Grade 3 tumors and STAS positivity are independent prognostic factors for poor recurrence-free survival in Stage I lung adenocarcinomas. Adjuvant treatment strategies should be considered for patients with these characteristics to improve outcomes.

Combined analysis of a serum mRNA/miRNA marker signature and CA 19-9 for timely and accurate diagnosis of recurrence after resection of pancreatic ductal adenocarcinoma: A prospective multicenter cohort study.

Timely and accurate detection of tumor recurrence in pancreatic ductal adenocarcinoma (PDAC) patients is an urgent and unmet medical need. This study aimed to develop a noninvasive molecular diagnostic procedure for the detection of recurrence after PDAC resection based on quantification of circulating mRNA and miRNA biomarkers in serum samples. In a multicentric study, serum samples from a total of 146 patients were prospectively collected after resection. Samples were classified into a "No Evidence of Disease" and a "Recurrence" group based on clinical follow-up data. A multianalyte biomarker panel was composed of mRNAs and miRNA markers and simultaneously analyzed in serum samples using custom microfluidic qPCR arrays (TaqMan array cards). A diagnostic algorithm was developed combining a 7-gene marker signature with CA19-9 data. The best-performing marker combination achieved 90% diagnostic accuracy in predicting the presence of tumor recurrence (98% sensitivity; 84% specificity), clearly outperforming the singular CA 19-9 analysis. Moreover, time series data obtained by analyzing successively collected samples from 5 patients during extended follow-up suggested that molecular diagnosis has the potential to detect recurrence earlier than routine clinical procedures. TaqMan array card measurements were found to be biologically valid and technically reproducible. The BioPac multianalyte marker panel is capable of sensitive and accurate detection of recurrence in patients resected for PDAC using a simple blood test. This could allow a closer follow-up using shorter time intervals than currently used for imaging, thus potentially prompting an earlier work-up with additional modalities to allow for earlier therapeutic intervention. This study provides a promising approach for improved postoperative monitoring of resected PDAC patients, which is an urgent and unmet clinical need.

Nodal radiotherapy for prostate adenocarcinoma recurrence: predictive factors for efficacy.

Nodes are the second site for prostate cancer recurrence. Whole-pelvic radiotherapy (WPRT) has shown superiority over nodal stereotactic body radiotherapy (SBRT) in two retrospective cohorts. We aimed to compare both modalities and assess factors associated with treatment outcomes. This retrospective multicentric cohort study included patients from five institutions spanning from 2010 to 2022. Patients had a history of prostatic adenocarcinoma classified as N0 M0 at diagnosis with a first nodal-only pelvic castration-sensitive recurrence. Failure-free survival (FFS) was defined as the time from the end of RT to the first failure event-biochemical or imaging recurrence, or death. A total of 147 patients (pts) were analyzed, mainly treated for a recurrence after initial prostatectomy (87%), with 64 (43.5%) undergoing SBRT and 83 (56.5%) undergoing WPRT. SBRT was chosen mainly for dosimetric constraints (67%) and was associated with a lower rate of concomitant androgen deprivation therapy (ADT) prescription. With a median follow-up of 68 months [inter-quartile range (IQR) = 51], FFS was significantly lower in the SBRT group (p < 0.0001). In multivariable analysis, WPRT and ADT were associated with a longer FFS. Factors associated with a longer FFS after SBRT included associated ADT, lower prostate-specific antigen (PSA) levels, a PSA doubling time >6 months, and a Gleason score <8. SBRT was associated with a lower rate of genitourinary and gastrointestinal grade ≥2 complications. For an isolated pelvic nodal prostate cancer recurrence, SBRT is associated with a shorter FFS compared to WPRT. SBRT is often more convenient for patients and leaves further pelvic salvage options available, so it can be explored as an option for well-informed patients.

S663 Investigating the Risk Factors for Recurrence of T1B Esophageal Adenocarcinoma After Esophagectomy: A Long-Term Follow-Up Retrospective Study

S663 Investigating the Risk Factors for Recurrence of T1B Esophageal Adenocarcinoma After Esophagectomy: A Long-Term Follow-Up Retrospective Study

EP.07E.01 Intrinsic Impacts of the Expression of PD-L1 On Postoperative Recurrence in EGFR-Mutated Lung Adenocarcinoma

EP.07E.01 Intrinsic Impacts of the Expression of PD-L1 On Postoperative Recurrence in EGFR-Mutated Lung Adenocarcinoma

Overexpression of NOP58 Facilitates Proliferation, Migration, Invasion, and Stemness of Non-small Cell Lung Cancer by Stabilizing hsa_circ_0001550.

NOP58 ribonucleoprotein (NOP58) is associated with the recurrence of lung adenocarcinoma. Few investigations concentrate on the role of NOP58 in non-small cell lung cancer (NSCLC), which is the focus of our current study. Following transfection, the proliferation, migration, and invasion of NSCLC cells were assessed by 5- ethynyl-2'-deoxyuridine (EdU), wound healing, and transwell assays. The percentage of CD9+ cells was evaluated by flow cytometry assay. Based on target genes and binding sites predicted through bioinformatics analysis, a dual-luciferase reporter assay was performed to verify the targeting relationship between hsa_circ_0001550 and NOP58. The effect of NOP58 overexpression on hsa_circ_0001550 stability was gauged using Actinomycin D. The hsa_circ_0001550 and NOP58 expression levels, as well as protein expressions of CD44, CD133, OCT4, and SOX2 in NSCLC cells were determined by quantitative real-time PCR and Western blot, respectively. Hsa_circ_0001550 was remarkably up-regulated in NSCLC cell lines A549 and PC9, silencing of which weakened cell abilities to proliferate, migrate and invade, decreased CD9+ cell ratio, and diminished protein expressions of CD44, CD133, OCT4, and SOX2. NOP58 could bind to hsa_circ_0001550 and stabilize its expression, and NOP58 overexpression partially abrogated hsa_circ_0001550 knockdown-inhibited NSCLC cell proliferation, migration, invasion and stemness. Overexpression of NOP58 facilitates proliferation, migration, invasion, and stemness of NSCLC cells by stabilizing hsa_circ_0001550, hinting that NOP58 is a novel molecular target for NSCLC therapy.

Preoperative Inflammatory Scores Do Not Accurately Predict Early Recurrence of Pancreatic Ductal Adenocarcinoma After Resection: A Systematic Review and Meta‐Analysis

ABSTRACTBackgroundDisease recurrence after surgical resection for pancreatic ductal adenocarcinoma can affect more than 50% of patients in the first 12 months after resection. The goal of this current systematic review and meta‐analysis is to assess the ability of preoperative inflammatory scores to predict early recurrence after resection and to identify the best candidates for surgical resection.MethodsMedline and Web of Science databases were searched for studies reporting inflammatory scores and oncological outcomes in patients with PDAC after curative‐intent resection. The systematic review revealed that the most common scores were modified Glasgow Prognostic Score (mGPS), Prognostic Nutritional Index (PNI), platelet‐to‐lymphocyte ratio (PLR), neutrophil‐to‐lymphocyte ratio (NLR), and Systemic Immune‐Inflammation Index (SII). After, a meta‐analysis was performed to determine the prognostic value of these scores in early recurrence (12 months) after resection. A subgroup analysis was also carried out in patients who had upfront surgery and in those who underwent neoadjuvant chemotherapy. The ROBINS‐I tool was used to assess the risk of bias.ResultsThe literature search retrieved 1864 articles, 16 of which were eligible for analysis. The included studies comprised 4460 patients. Nine studies reported outcomes for mGPS, four studies for PNI, seven studies for PLR, eight studies for NLR, and two studies for SII. In the meta‐analysis, mGPS, NLR, and PLR showed significantly higher rates of early recurrence in the high‐score groups compared to the low‐score groups. Analyzing the sensitivity and specificity of these scores showed no significant difference in their diagnostic accuracy (mGPS area under the curve [AUC] = 0.534; NLR AUC = 0.628, and PLR AUC = 0.607). High and low PNI and SII scores demonstrated similar rates of early recurrence.ConclusionmGPS, PNI, PLR, NLR, and SII scores did not show a suitable diagnostic accuracy to predict PDAC recurrence in the first 12 months after resection. Therefore, these inflammatory scores should not be used to select the best candidates or to preclude a possible surgical indication.

Deep Learning Model for Predicting Lung Adenocarcinoma Recurrence from Whole Slide Images.

Lung cancer is the leading cause of cancer-related death in the United States. Lung adenocarcinoma (LUAD) is one of the most common subtypes of lung cancer that can be treated with resection. While resection can be curative, there is a significant risk of recurrence, which necessitates close monitoring and additional treatment planning. Traditionally, microscopic evaluation of tumor grading in resected specimens is a standard pathologic practice that informs subsequent therapy and patient management. However, this approach is labor-intensive and subject to inter-observer variability. To address the challenge of accurately predicting recurrence, we propose a deep learning-based model to predict the 5-year recurrence of LUAD in patients following surgical resection. In our model, we introduce an innovative dual-attention architecture that significantly enhances computational efficiency. Our model demonstrates excellent performance in recurrent risk stratification, achieving a hazard ratio of 2.29 (95% CI: 1.69-3.09, p < 0.005), which outperforms several existing deep learning methods. This study contributes to ongoing efforts to use deep learning models for automatically learning histologic patterns from whole slide images (WSIs) and predicting LUAD recurrence risk, thereby improving the accuracy and efficiency of treatment decision making.

Lung Microbial and Host Genomic Signatures as Predictors of Prognosis in Early-Stage Adenocarcinoma.

Risk of early-stage lung adenocarcinoma recurrence after surgical resection is significant, and the postrecurrence median survival is approximately 2 years. Currently, there are no commercially available biomarkers that predict recurrence. In this study, we investigated whether microbial and host genomic signatures in the lung can predict recurrence. In 91 patients with early-stage (stage IA/IB) lung adenocarcinoma with extensive follow-up, we used 16s rRNA gene sequencing and host RNA sequencing to map the microbial and host transcriptomic landscape in tumor and adjacent unaffected lung samples. Of 91 subjects, 23 had tumor recurrence over 5-year period. In tumor samples, lung adenocarcinoma recurrence was associated with enrichment in Dialister and Prevotella, whereas in unaffected lung samples, recurrence was associated with enrichment in Sphingomonas and Alloiococcus. The strengths of the associations between microbial and host genomic signatures with lung adenocarcinoma recurrence were greater in adjacent unaffected lung samples than in the primary tumor. Among microbial-host features in the unaffected lung samples associated with recurrence, enrichment in Stenotrophomonas geniculata and Chryseobacterium was positively correlated with upregulation of IL2, IL3, IL17, EGFR, and HIF1 signaling pathways among the host transcriptome. In tumor samples, enrichment in Veillonellaceae (Dialister), Ruminococcaceae, Haemophilus influenzae, and Neisseria was positively correlated with upregulation of IL1, IL6, IL17, IFN, and tryptophan metabolism pathways. Overall, modeling suggested that a combined microbial/transcriptome approach using unaffected lung samples had the best biomarker performance (AUC = 0.83). This study suggests that lung adenocarcinoma recurrence is associated with distinct pathophysiologic mechanisms of microbial-host interactions in the unaffected lung rather than those present in the resected tumor.

Predictors of early recurrence of oesophagogastric adenocarcinoma after neoadjuvant FLOT

BackgroundAlthough survival of patients with oesophagogastric adenocarcinomas has improved over the years, rates of cancer recurrence remain high. There is limited research on predictors of early recurrence (ER), especially in patients receiving FLOT chemotherapy. The aim of this study was to investigate ER and survival rates and identify risk factors for ER. MethodsPatients receiving neoadjuvant chemotherapy with FLOT for oesophagogastric adenocarcinoma at single high-volume centre between August 2018 and January 2023 were evaluated for early recurrence defined as disease present within 1 year of surgery. Multivariable analysis was conducted to identify risk factors for ER. Patients who died in-hospital or within 90 days of surgery and those with positive longitudinal margin were excluded. Results196 patients were included. 93.3 % and 40.3 % of patients completed all four neoadjuvant and adjuvant cycles of FLOT respectively. 54 patients (27.6 %) developed recurrence in the follow up period with 27 patients (13.8 %) having ER. Recurrence free survival and overall survival at one year were 83.7 % and 90.8 % respectively. The estimated median survival after recurrence was 4.1 months. Extracapsular spread was found to be independent risk factor for ER (OR 4.565, 95 % CI 1.450–14.369, p = 0.009) in multivariable analyses together with ypN3 stage (OR 7.978, 95 % CI 1.339–47.534, p = 0.023). ConclusionsThe variables identified in this study may be helpful in determining patients at a higher risk of ER following curative surgery. Understanding these predictors may help tailor the follow up care of these patients, such as regular surveillance imaging, treatment, and frequency of reviews.

Efficiency evaluation of dual-energy CT to predict the postoperative early recurrence of pancreatic ductal adenocarcinoma

ObjectivesTo evaluate the efficacy of quantitative parameters from dual-energy CT (DECT) and basic CT features in predicting the postoperative early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). MethodsIn this study, patients with PDAC who underwent radical resection and DECT from 2018 to 2022 were enrolled and categorised into ER and non-ER groups. The clinical data, basic CT features and DECT parameters of all patients were analyzed. Independent predictors of ER were identified with Logistic regression analyses. Three models (model A: basic CT features; model B: DECT parameters; model C: basic CT features + DECT parameters) were established. Receiver operating characteristic curve analysis was utilized to evaluate predictive performance. ResultsA total of 150 patients were enrolled (ER group: n = 63; non-ER group: n = 87). Rim enhancement (odds ratio [OR], 3.32), peripancreatic strands appearance (OR, 2.68), electron density in the pancreatic parenchymal phase (P-Rho; OR, 0.90), arterial enhancement fraction (AEF; OR, 0.05) and pancreatic parenchyma fat fraction in the delayed phase (OR, 1.25) were identified as independent predictors of ER. Model C showed the highest area under the curve of 0.898. In addition, the corresponding ER risk factors were identified separately for resectable and borderline resectable PDAC subgroups. ConclusionsDECT quantitative parameters allow for the noninvasive prediction of postoperative ER in patients with PDAC, and the combination of DECT parameters and basic CT features shows a high prediction efficiency. Our model can help to identify patients with high-risk factors to guide preoperative decision making.

Outcomes of Watch-and-Wait Versus Abdominoperineal Resection in Lower Rectal Adenocarcinoma Post Neoadjuvant Therapy: An Iraqi Cohort Study.

Rectal malignancy ranks among the most prevalent malignancies in humans. Neoadjuvant chemoradiotherapy (nCRT) is advocated as the standard treatment for locally advanced rectal cancer. In patients who achieve complete clinical response (cCR), successive surgical intervention may result in favorable immediate and long-lasting results; however, itmay be associated with decreased quality of life. This study aims to evaluate the incidence of local recurrence in rectal adenocarcinoma between patients who underwent a watch-and-wait approach and those who underwent abdominoperineal resection following the achievement of a cCRafter nCRT. This is ananalytic cohort study that included 68 patients and was conducted in Baghdad Teaching Hospital/Medical City, Baghdad. The data were collected from the 1st of April 2021 to the 1st of October 2023. All patients with stage II and III rectal adenocarcinoma who achieved cCR after receiving nCRTwere included in the study. There was no statistically significant difference between the two study groups regarding non-regrowth disease-free survival (p-value = 0.708). Cox-regression multivariate analysis revealed that baseline T stage and serum carcinoembryonic antigen (CEA) were significantly associated with locoregional failure. The present study reveals that implementing the watch-and-wait strategy had the benefit of avoiding major surgery, stoma, and their complications without coming at the cost of reduced locoregional recurrence.

Gene mutation characteristics of clinical stage ⅠA lung adenocarcinoma and their relations with patients' long-term prognosis

Objective: To explore the gene mutation characteristics and the relationship between gene mutations and long-term prognosis in clinical stage ⅠA lung adenocarcinoma patients. Methods: A retrospective analysis was conducted on 63 clinical stage ⅠA lung adenocarcinoma patients who underwent surgical resection at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2007 to October 2012, with documented postoperative recurrence or metastasis, as well as those who had a follow-up duration of 10 years or more without recurrence or metastasis. Whole exome sequencing (WES) technology was used to analyze the gene mutation profiles in tumor tissues and univariate and multivariate Cox regression analysis were used to clarify the influencing factors for patient prognosis. Results: After long term follow-up, 13 out of the 63 patients (21%) experienced recurrence or metastasis. WES technology analysis revealed that the most common tumor related gene mutations occurred in epidermal growth factor receptor (EGFR), with a mutation rate of 65.1% (41/63), followed by tumor protein p53 (TP53), fatatypical cadherin 1 (FAT1), low density lipoprotein receptor-related protein 1B (LRP1B), mechanistic target of rapamycin (MTOR), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit gamma (PIK3CG), and SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily A, member 4 (SMARCA4), with mutation rates of 30.2% (19/63), 20.6% (13/63), 15.9% (10/63), 15.9% (10/63), 15.9% (10/63), and 15.9% (10/63), respectively. Multivariate Cox regression analysis showed that PIK3CG mutations (HR=21.52, 95% CI: 3.19-145.01),smoothened (SMO) mutations (HR=35.28, 95% CI: 3.12-398.39), catenin beta 1 (CTNNB1) mutations (HR=332.86, 95% CI: 15.76-7 029.05), colony stimulating factor 1 receptor (CSF1R) mutations (HR=8 109.60, 95% CI: 114.19-575 955.17), and v-Raf murine sarcoma viral oncogene homolog B (BRAF) mutations (HR=23.65, 95% CI: 1.86-300.43) were independent risk factors affecting the prognosis of clinical stage ⅠA lung adenocarcinoma patients. Conclusions: PIK3CG, SMO, CTNNB1, CSF1R, BRAF gene mutations are closely related to long-term recurrence or metastasis in clinical stage ⅠA lung adenocarcinoma. Patients with these gene mutations should be given closer clinical attention.

Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation

PurposeTo develop and compare 3 different machine learning–based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical decision making. Materials and MethodsThe data of 360 patients with Stage Ia lung adenocarcinoma who underwent MWA were included in the training (n = 208), internal test (n = 90), and external test (n = 62) sets based on the inclusion and exclusion criteria. The predictors associated with local recurrence were identified using univariate and multivariate analyses of clinical information. The integrated radiomics features were extracted from pre-MWA and post-MWA (scanned immediately after the ablation) computed tomography (CT) images, and 10 radiomics features were selected by the t-test and least absolute shrinkage and selection operator. The L2-logistic regression of machine learning was applied for the clinical model, CT radiomics model, and combined model including clinical predictors and radiomics features. Model performance was evaluated by the receiver operating characteristic and decision curve analysis. ResultsThe ablative margin was an independent clinical predictor (P = 0.001; odds ratio [OR], 0.46; 95% CI, 0.29–0.73). The combined model showed the highest area under the curve value among the 3 models (training, 0.86; 95% CI, 0.81–0.91; internal test, 0.93; 95% CI, 0.87–0.98; external test, 0.89; 95% CI, 0.79–0.96). ConclusionsThe combined model could accurately predict the local recurrence of Stage Ia lung adenocarcinoma after MWA to better support a clinical decision.

The intestinal flora and nutritional status and immune function characteristics of obese colon cancer patients

BackgroundThe research aims to explore the characteristics of intestinal flora, nutritional status and immune function in patients with different types of obese colon cancer.MethodsA retrospective analysis is conducted on 64 cases of obese colon cancer diagnosed from June 2018 to January 2020. According to the histological staging of the cancer, they are classified into adenocarcinoma, adenosquamous carcinoma and undifferentiated carcinoma, with corresponding cases of 24, 22 and 18, respectively. The intestinal flora (Bifidobacterium, Lactobacillus, Enterococcus faecalis, Escherichia coli, and yeast), nutritional status (Hb, Alb, PA, TFN, and PNI), immune function (IgG, IgM, IgA, CD4+, CD8+, and CD4+/CD8+) are analyzed in the different groups of patients. Survival curves are evaluated by Kaplan-Meier method and log-rank test for tumour death, local recurrence, and distant metastasis.ResultsThere were no statistically significant differences in intestinal flora (Bifidobacterium, Lactobacillus, Enterococcus faecalis, Escherichia coli, and yeast), nutritional status (Hb, Alb, PA, TFN, and PNI) and immune function (IgG, IgM, IgA, CD4+, CD8+, and CD4+/CD8+) between different groups. There was a significant correlation between intestinal flora, nutritional status and immune function for all three. The survival curves of tumour death, local recurrence and distant metastasis in different groups of obese colon cancer patients were statistically significant. The tumor mortality rate, local recurrence, and distant metastasis rate in adenocarcinoma were 78.65%, 54.25% and 48.26% respectively.ConclusionThere are differences in intestinal flora, nutritional status and immune function among different types of obese colon cancer patients, but adenocarcinoma has the least benefit in intestinal flora, poor nutritional status, and weakest immune function.

Based on machine learning, CDC20 has been identified as a biomarker for postoperative recurrence and progression in stage I & II lung adenocarcinoma patients.

By utilizing machine learning, we can identify genes that are associated with recurrence, invasion, and tumor stemness, thus uncovering new therapeutic targets. To begin, we obtained a gene set related to recurrence and invasion from the GEO database, a comprehensive gene expression database. We then employed the Weighted Gene Co-expression Network Analysis (WGCNA) to identify core gene modules and perform functional enrichment analysis on them. Next, we utilized the random forest and random survival forest algorithms to calculate the genes within the key modules, resulting in the identification of three crucial genes. Subsequently, one of these key genes was selected for prognosis analysis and potential drug screening using the Kaplan-Meier tool. Finally, in order to examine the role of CDC20 in lung adenocarcinoma (LUAD), we conducted a variety of in vitro and in vivo experiments, including wound healing assay, colony formation assays, Transwell migration assays, flow cytometric cell cycle analysis, western blotting, and a mouse tumor model experiment. First, we collected a total of 279 samples from two datasets, GSE166722 and GSE31210, to identify 91 differentially expressed genes associated with recurrence, invasion, and stemness in lung adenocarcinoma. Functional enrichment analysis revealed that these key gene clusters were primarily involved in microtubule binding, spindle, chromosomal region, organelle fission, and nuclear division. Next, using machine learning, we identified and validated three hub genes (CDC45, CDC20, TPX2), with CDC20 showing the highest correlation with tumor stemness and limited previous research. Furthermore, we found a close association between CDC20 and clinical pathological features, poor overall survival (OS), progression-free interval (PFI), progression-free survival (PFS), and adverse prognosis in lung adenocarcinoma patients. Lastly, our functional research demonstrated that knocking down CDC20 could inhibit cancer cell migration, invasion, proliferation, cell cycle progression, and tumor growth possibly through the MAPK signaling pathway. CDC20 has emerged as a novel biomarker for monitoring treatment response, recurrence, and disease progression in patients with lung adenocarcinoma. Due to its significance, further research studying CDC20 as a potential therapeutic target is warranted. Investigating the role of CDC20 could lead to valuable insights for developing new treatments and improving patient outcomes.

Delving into the Role of α-Smooth Muscle Actin as a Predictive Biomarker of Early Recurrence in Invasive Ductal Adenocarcinoma of Breast

Delving into the Role of α-Smooth Muscle Actin as a Predictive Biomarker of Early Recurrence in Invasive Ductal Adenocarcinoma of Breast

Lymph Node Yield is Associated with Improved Overall Survival and Increased Time to Recurrence in Node-Negative Pancreatic Ductal Adenocarcinoma Following Neoadjuvant Therapy.

To determine if lymph node yield (LNY) is associated with improved overall survival (OS) and time to recurrence (TTR) in patients with node-negative pancreatic ductal adenocarcinoma (PDAC) treated with neoadjuvant therapy (NAT). Lymph node yield has been associated with survival in solid gastrointestinal cancers, including PDAC. Patients with pathological T stage I-III, node-negative (N0), PDAC treated with NAT followed by pancreatoduodenectomy were identified in the Massachusetts General Hospital (MGH) pancreatectomy database and the National Cancer Database (NCDB). A cutoff point of 22 nodes was identified in the NCDB using the point with the optimal (log-rank test) split. Overall survival and TTR were evaluated using univariate and multivariable analyses. In the MGH cohort, 233 node-negative patients following NAT were included. A LNY ≥ 22 was associated with prolonged median OS (59 months vs. 25 months, P<0.001) and prolonged TTR (32 months vs. 14 months, P=0.019). On multivariable analysis, LNY was an independent predictor of survival (HR 0.97, 95% CI 0.95-0.99, P=0.034) per sampled node. In the NCDB, 2,029 node-negative patients following NAT were included. A LNY ≥ 22 was associated with prolonged median OS (49 months vs. 33 months, P<0.001). On multivariable analysis, LNY was an independent predictor of survival (HR 0.99, 95% CI 0.98-0.99, P<0.001) per sampled node. Lymph node yield was associated with improved oncologic outcomes in patients treated with NAT followed by pancreatoduodenectomy in two independent datasets. Responsible mechanisms by which LNY impacts the outcomes of node-negative patients following NAT warrant further exploration.

PP01.92 Analytical performance of a cell-free DNA targeted methylation test for early lung adenocarcinoma (LUAD) recurrence assessment

PP01.92 Analytical performance of a cell-free DNA targeted methylation test for early lung adenocarcinoma (LUAD) recurrence assessment