Positive Regional Nodes Research Articles

A preliminary study of developing an MRI-based model for postoperative recurrence prediction and treatment direction of intrahepatic cholangiocarcinoma.

To establish an MRI-based predictive model for postoperative recurrence in intrahepatic cholangiocarcinoma (iCCA) and further to evaluate the model utility in treatment direction for neoadjuvant and adjuvant therapies. Totally 114 iCCA patients with curative surgery were retrospectively included, including 38 patients in the neoadjuvant treatment, traditional surgery, and adjuvant treatment groups for each. Predictive variables associated with postoperative recurrence were identified using univariate and multivariate Cox regression analyses, and a prognostic model was formulated. Recurrence-free survival (RFS) curves were compared using log-rank test between MRI-predicted high-risk and low-risk iCCAs stratified by the optimal threshold. Tumor multiplicity (hazard ratio (HR) = 1.671 [95%CI 1.036, 2.695], P = 0.035), hemorrhage (HR = 2.391 [95%CI 1.189, 4.810], P = 0.015), peri-tumor diffusion-weighted hyperintensity (HR = 1.723 [95%CI 1.085, 2.734], P = 0.021), and positive regional lymph node (HR = 2.175 [95%CI 1.295, 3.653], P = 0.003) were independently associated with postoperative recurrence; treatment group was not significantly related to recurrence (P > 0.05). Independent variables above were incorporated for the recurrence prediction model, the 1-year and 2-year time-dependent area under the curve values were 0.723 (95%CI 0.631, 0.815) and 0.725 (95%CI 0.634, 0.816), respectively. After risk stratification, the MRI-predicted high-risk iCCA patients had higher cumulative incidences of recurrence and worse RFS than the low-risk patients (P < 0.001 for both). In the MRI-predicted high-risk patients, neoadjuvant therapy was associated with improved all-stage RFS (P = 0.034), and adjuvant therapy was associated with improved RFS after 4months (P = 0.014). The MRI-based iCCA recurrence predictive model may serve as a decision-making tool for both personalized prognostication and therapy selection.

Development and Validation of a Nomogram Prediction Model for Moderate-to-Severe Acute Radiation Dermatitis in Patients with Breast Cancer: A Retrospective Study.

Aims/Background Acute radiation dermatitis is the most common complication of radiotherapy in patients with breast cancer, with mild severity relieved by symptomatic treatment and moderate-to-severe severity leading to compromised skin integrity and affecting the patient's quality of life. Therefore, this study aims to develop a prediction model for moderate-to-severe acute radiation dermatitis in patients with breast cancer to reduce its severity. Methods A retrospective analysis of 713 patients receiving radiotherapy for breast cancer at the Affiliated Cancer Hospital of Xinjiang Medical University from January 2019 to December 2023 was conducted, with January 2019 to December 2021 serving as the training group (497 patients) and January 2022 to December 2023 serving as the validation group (216 patients). Patients in the training group were classified as having mild (383 patients) or moderately severe (114 patients) acute radiation dermatitis. Binary logistic regression was used to analyze the independent effects on moderately severe acute radiation dermatitis in patients with breast cancer, and a predictive model of the bar-folding plot was constructed and validated. Results Univariable analysis revealed that age, body mass index, targeted therapy, oral tamoxifen use, hyperlipidemia, diabetes, positive regional lymph node metastasis, value-added index, and triple-negative breast cancer were factors influencing moderate-to-severe acute radiation dermatitis in patients with breast cancer. Multivariate analysis showed that body mass index, hyperlipidemia, diabetes, positive regional lymph node metastasis, and value-added index were independent influencing factors for moderate-to-severe acute radiation dermatitis in patients with breast cancer. A nomogram prediction model was constructed, and the area under the receiver operating characteristic curve of the model was 0.814 and 0.743 for internal and external validation, respectively. The calibration curve showed that the model predicted moderate-to-severe acute radiation dermatitis better, and the decision curve analysis curve showed that the model had a high clinical benefit. Conclusion This risk prediction model can predict moderate-to-severe acute radiation dermatitis in patients with breast cancer, and help clinical providers screen high-risk patients and reduce acute radiation dermatitis severity.

Thoracic Radiotherapy Improves the Survival in Patients With EGFR-Mutated Oligo-Organ Metastatic Non-Small Cell Lung Cancer Treated With Epidermal Growth Factor Receptor-Tyrosine Kinase Inhibitors: A Multicenter, Randomized, Controlled, Phase III Trial.

This multicenter, randomized, phase III clinical trial (Northern Radiation Oncology Group of China-002) focused on patients with oligo-organ metastatic non-small cell lung cancer (NSCLC) who have epidermal growth factor receptor (EGFR) mutations. We aimed to investigate whether first-line concurrent thoracic radiotherapy (TRT) and EGFR-tyrosine kinase inhibitors (TKIs), compared with TKIs alone, could achieve better survival. The patients in the TKI plus TRT group received 60 Gy to primary lung tumor and positive regional lymph nodes. Radiotherapy for metastases to other sites was determined by clinicians. The primary end point was the progression-free survival (PFS). Secondary end points included overall survival (OS) and treatment-related adverse events (TRAEs). The first and second interim analyses were performed in March 2021 and March 2022. Between April 14, 2016, and February 25, 2022, a total of 118 patients were enrolled. Compared with the TKI alone group, the TKI plus TRT group achieved significantly better PFS (hazard ratio [HR], 0.57; P = .004) and OS (HR, 0.62; P = .029). The median PFS was 10.6 months in the TKI alone group and 17.1 months in the TKI plus TRT group. The median OS was 26.2 months and 34.4 months in the TKI alone group and TKI plus TRT group, respectively. The TKI plus TRT group showed better local control but was associated with a higher incidence of severe TRAEs (11.9% v 5.1%). For patients with EGFR-mutated oligo-organ metastatic NSCLC treated with first-line EGFR-TKIs, concurrent TRT improves the PFS and OS, and TRAEs are acceptable and tolerable.

Weekly Image Guidance in Patients With Cervical Cancer Treated With Intensity-Modulated Radiation Therapy: Results of a Large Cohort Study.

Image guidance is recommended for patients undergoing intensity-modulated radiation therapy (IMRT) for cervical cancer. In this study, we evaluated the feasibility of a weekly image guidance pattern and analyzed the long-term outcomes in a large cohort of patients. The study enrolled patients with Stage IB-IVA cervical cancer who received definitive radiotherapy or concurrent chemoradiotherapy. IMRT was delivered at a dose of 50.4 Gy in 28 fractions, with weekly cone-beam computed tomography (CBCT). Physicians advised patients on rectum and bladder preparation to help them prepare on nonimaging guidance days. When significant tumor regression was observed, a second computed tomography simulation and replanning were performed. The median follow-up periods were 63.4 months. The incidence rates of loco-regional and distant failure were 9.9% and 13.6%. The 5-year overall survival (OS), disease-free survival (DFS), loco-regional relapse-free survival (LRFS), and distant metastasis-free survival (DMFS) rates were 80.1%, 72.9%, 78.3%, and 74.8%, respectively. For patients with different stages, the 5-year OS, DFS, LRFS, and DMFS rates were statistically significant. For patients with and without positive regional lymph nodes, the 5-year OS, DFS, LRFS, and DMFS rates were 64.5% and 86.0%, 56.8% and 78.8%, 62.7% and 84.3%, and 58.8% and 81.0%, respectively. Multivariate analysis showed that age, histology, tumor size, cancer stage, pretreatment squamous cell carcinoma antigen level, and para-aortic metastatic lymph nodes were independent prognostic factors of OS. Fifty-six (4.0%) patients experienced late Grade 3/4 chronic toxicities. IMRT with weekly CBCT is an acceptable image guidance strategy in countries with limited medical resources.

Endoscopic ultrasound with tissue acquisition of lymph nodes in patients with potentially resectable intrahepatic cholangiocarcinoma.

Background and study aims Lymph node (LN) involvement is a poor prognostic factor for patients with intrahepatic cholangiocarcinoma (iCCA). The aim of this study was to evaluate the yield and impact on clinical decision making of endoscopic ultrasound with tissue acquisition (EUS-TA) of LNs in patients with potentially resectable iCCA. Patients and methods In this multicenter cohort study, patients with potentially resectable iCCA and preoperative EUS between 2010 and 2020 were retrospectively included. The impact of EUS-TA was defined as the percentage of patients who did not undergo surgical exploration due to pathologically confirmed positive LNs found with EUS-TA. Results A total of 56 patients underwent EUS, with 91% of patients to target suspicious LNs on imaging. EUS-TA of LNs confirmed malignancy in 21 LNs among 19 patients (34%). In 17 patients (30%), surgical exploration was withheld due to nodal involvement. Finally, 24 patients (43%) underwent surgical exploration among whom positive regional LNs were identified in six patients (25%). Conclusions In patients with potentially resectable iCCA and suspicious LNs on cross-sectional imaging, EUS-TA confirmed LN involvement in 30% of patients. Surgical exploration was withheld mostly because of extraregional LN involvement and regional LN involvement in patients with high surgical risk.

The role of tumor-associated neutrophils in early luminal HER2-negative breast cancer progression

BACKGROUND: Luminal HER2-negative breast cancer is the most common type of tumor in women diagnosed with early-stage breast cancer. Stromal cells and immune cells in tumor microenvironment have been reported to play a significant role in cancer prognosis. The prognostic role of tumor-associated neutrophils in early breast cancer remains mostly unclear. AIM: To study predictive role tumor-associated neutrophils in early luminal HER2-negative breast cancer. MATERIALS AND METHODS: The dataset consisted of 60 patients with early luminal HER2-negative breast cancer treated in S.P. Botkin City Clinical Hospital (Moscow, Russia). We first estimated basic morphological signs: tumor size, tumor grade (by Nottingham Histologic Score), tumor-infiltrating lymphocytes, lymphovascular invasion, hormonal receptors status, proliferative index, regional lymph nodes status. The expression of intratumoral neutrophils was studied using immunohistochemistry with CD15. RESULTS: High tumor-associated neutrophils concentration was correlated with tumor size, high grade tumors, proliferative index, tumor-infiltrating lymphocytes, lymphovascular invasion and positive regional lymph nodes. CONCLUSION: Tumor-associated neutrophils predicted a worse prognosis in early luminal HER2-negative breast cancer.

Construction of the prognostic nomogram and treatment recommendation in patients with mixed endometrial carcinoma treated with hysterectomy.

The study aimed to identify the independent prognostic factors of mixed endometrial carcinoma (MEC) patients treated with hysterectomy and to explore the optimal treatment modalities for overall survival (OS) and cancer-specific survival (CSS). Using the Surveillance, Epidemiology, and End Results (SEER) database, a total of 12,848 MEC patients treated with hysterectomy were screened out. Independent prognostic factors were identified by Cox regression analysis and used to construct the nomogram. The concordance index (C-index) of OS and CSS were 0.807 and 0.834 in the training set. Validation of the nomogram revealed that the receiver operating curve (ROC) maintained good discrimination, the decision curve analysis (DCA) had a high net benefit rate, and the calibration curves showed high consistency. Patients were grouped by the nomogram formula and the number of positive regional lymph nodes (NPR-Lymph node) to evaluate the therapeutic outcomes of chemotherapy, radiotherapy, neoadjuvant treatment and lymph node operation. Survival analysis revealed that chemotherapy could improve the prognosis for OS and CSS in the high-risk group and in the group with NPR-Lymph node counts above 1 (P < 0.05). Radiotherapy was associated with better OS and CSS in the intermediate-risk and high-risk groups, and in the group with NPR-Lymph node counts above 0 (P < 0.05). Lymphadenectomy was found to prolong OS and CSS in the high-risk group (P < 0.05), while neoadjuvant treatment did not prolong OS and CSS in any group. Thus, in this study, the nomogram for MEC patients treated with hysterectomy was successfully built and validated which could effectively predict the prognosis and identify at-risk population to guide clinical decision-making. The NPR-Lymph node was identified as a potentially strong prognostic indicator with good clinical value.

Constructing a prognostic model for colorectal cancer with synchronous liver metastases after preoperative chemotherapy: a study based on SEER and an external validation cohort.

The combination of preoperative chemotherapy and surgical treatment has been shown to significantly enhance the prognosis of colorectal cancer with liver metastases (CRLM) patients. Nevertheless, as a result of variations in clinicopathological parameters, the prognosis of this particular group of patients differs considerably. This study aimed to develop and evaluate Cox proportional risk regression model and competing risk regression model using two patient cohorts. The goal was to provide a more precise and personalized prognostic evaluation system. We collected information on individuals who had a pathological diagnosis of colorectal cancer between 2000 and 2019 from the Surveillance, Epidemiology, and End Results (SEER) Database. We obtained data from patients who underwent pathological diagnosis of colorectal cancer and got comprehensive therapy at the hospital between January 1, 2010, and June 1, 2022. The SEER data collected after screening according to the inclusion and exclusion criteria were separated into two cohorts: a training cohort (training cohort) and an internal validation cohort (internal validation cohort), using a random 1:1 split. Subgroup Kaplan-Meier (K-M) survival analyses were conducted on each of the three groups. The data that received following screening from the hospital were designated as the external validation cohort. The subsequent variables were chosen for additional examination: age, gender, marital status, race, tumor site, pretreatment carcinoembryonic antigen level, tumor size, T stage, N stage, pathological grade, number of tumor deposits, perineural invasion, number of regional lymph nodes examined, and number of positive regional lymph nodes. The primary endpoint was median overall survival (mOS). In the training cohort, we conducted univariate Cox regression analysis and utilized a stepwise regression approach, employing the Akaike information criterion (AIC) to select variables and create Cox proportional risk regression models. We evaluated the accuracy of the model using calibration curve, receiver operating characteristic curve (ROC), and area under curve (AUC). The effectiveness of the models was assessed using decision curve analysis (DCA). To evaluate the non-cancer-related outcomes, we analyzed variables that had significant impacts using subgroup cumulative incidence function (CIF) and Gray's test. These analyses were used to create competing risk regression models. Nomograms of the two models were constructed separately and prognostic predictions were made for the same patients in SEER database. This study comprised a total of 735 individuals. The mOS of the training cohort, internal validation cohort, and QDU cohort was 55.00months (95%CI 46.97-63.03), 48.00months (95%CI 40.65-55.35), and 68.00months (95%CI 54.91-81.08), respectively. The multivariate Cox regression analysis revealed that age, N stage, presence of perineural infiltration, number of tumor deposits and number of positive regional lymph nodes were identified as independent prognostic risk variables (p < 0.05). In comparison to the conventional TNM staging model, the Cox proportional risk regression model exhibited a higher C-index. After controlling for competing risk events, age, N stage, presence of perineural infiltration, number of tumor deposits, number of regional lymph nodes examined, and number of positive regional lymph nodes were independent predictors of the risk of cancer-specific mortality (p < 0.05). We have developed a prognostic model to predict the survival of patients with synchronous CRLM who undergo preoperative chemotherapy and surgery. This model has been tested internally and externally, confirming its accuracy and reliability.

Efficacy and safety of the combination of tisleizumab with chemoradiotherapy in oligorecurrence esophageal squamous cell carcinoma: A prospective phase II study.

4057 Background: The postoperative recurrence and metastasis rate of esophageal squamous cell carcinoma (ESCC) remains high and prognosis is poor. PD-1 immune checkpoint inhibitors have shown efficacy in targeting advanced esophageal cancer. This phase II study aims to explore the efficacy and safety of concurrent chemoradiotherapy and immunotherapy for ESCC patients with oligometastatic recurrence after radical surgery. Methods: This phase II study enrolled ESCC patients from 3 hospitals in China, diagnosed oligometastatic recurrence after radical surgery. The 1st stage, with 10 patients enrolled, was designed to explore the safety level and the 2nd stage was to explore efficacy. The oligorecurrence is defined as progression occurring three months after the operation with no more than three metastatic regions. The local recurrence was defined as tumor bed or anastomotic recurrence. The regional lymph node recurrences were regarded as mediastinal region and celiac lymph, respectively. The distal recurrences were considered as supraclavicular, retroperitoneal region and other distal organs. All of the positive regional lymph nodes were collectively counted as one lesion if regional lymph node recurrences existed. Tisleizumab was delivered on D1,22. Nab-paclitaxel 150mg/m2 (starting on D2,23) and cisplatin, 75mg/m2(starting on D2-4,22-24) were administered for two cycles. The radiotherapy was delivered with 50.4-60Gy, 1.8-2Gy per fraction. After CRT, patients received Tisleizumab every 3 weeks for 3-6 months and 2-4 cycle consolidation chemotherapy. The primary endpoint was 1-year OS, the second endpoints were 1-year PFS, ORR and toxicities. Results: Between Jan 2021 and May 2023,50 patients were screened for enrolment and 44 patients met the eligibility criteria. The metastatic regions were made up by the local (15.9%),regional (47.7%), distal (13.6%) and mixed recurrence (22.7%). In the 1st stage, one patient had a grade-3 Immune-related erythra out of ten patients. All patients were delivered chemoradiotherapy, 36(81.8%) patients had completed two cycles of immunotherapy. The ORR rate was 84.1%. During concurrent chemoradiotherapy, the incidence of grade≥3 treatment-related adverse events was nausea (9.1%), vomit (4.5%), anorexia (4.5%), leukopenia (13.6%), hepatitis (2.3%), radiation esophagitis (1.4%), erythra (4.5%). There were 5 cases of Immune-related adverse, including 2 cases of erythra, 1 case of hypothyroidism, hepatitis, gastroenteritis, respectively. With the median follow-up time of 19 months (range:4-30 months), 1-year OS and PFS was 83.2% and 79.2%. The median OS and the median PFS were not reached. Conclusions: Concurrent chemoradiotherapy and immunotherapy yielded satisfactory 1-year OS rate and manageable toxicities in oligometastatic recurrence patients with ESCC after radical surgery. Clinical trial information: NCT04821765 .

Mortality risk prediction for primary appendiceal cancer

BackgroundAccurately predicting survival in patients with cancer is crucial for both clinical decision-making and patient counseling. The primary aim of this study was to generate the first machine-learning algorithm to predict the risk of mortality following the diagnosis of an appendiceal neoplasm. MethodsPatients with primary appendiceal cancer in the Surveillance, Epidemiology, and End Results database from 2000 to 2019 were included. Patient demographics, tumor characteristics, and survival data were extracted from the Surveillance, Epidemiology, and End Results database. Extreme gradient boost, random forest, neural network, and logistic regression machine learning models were employed to predict 1-, 5-, and 10-year mortality. After algorithm validation, the best-performance model was used to develop a patient-specific web-based risk prediction model. ResultsA total of 16,579 patients were included in the study, with 13,262 in the training group (80%) and 3,317 in the validation group (20%). Extreme gradient boost exhibited the highest prediction accuracy for 1-, 5-, and 10-year mortality, with the 10-year model exhibiting the maximum area under the curve (0.909 [±0.006]) after 10-fold cross-validation. Variables that significantly influenced the predictive ability of the model were disease grade, malignant carcinoid histology, incidence of positive regional lymph nodes, number of nodes harvested, and presence of distant disease. ConclusionHere, we report the development and validation of a novel prognostic prediction model for patients with appendiceal neoplasms of numerous histologic subtypes that incorporate a vast array of patient, surgical, and pathologic variables. By using machine learning, we achieved an excellent predictive accuracy that was superior to that of previous nomograms.

Assessing the survival time of women with breast cancer in Northwestern Ethiopia: using the Bayesian approach

BackgroundDespite the significant weight of difficulty, Ethiopia's survival rate and mortality predictors have not yet been identified. Finding out what influences outpatient breast cancer patients' survival time was the major goal of this study.MethodsA retrospective study was conducted on outpatients with breast cancer. In order to accomplish the goal, 382 outpatients with breast cancer were included in the study using information obtained from the medical records of patients registered at the University of Gondar referral hospital in Gondar, Ethiopia, between May 15, 2016, and May 15, 2020. In order to compare survival functions, Kaplan-Meier plots and the log-rank test were used. The Cox-PH model and Bayesian parametric survival models were then used to examine the survival time of breast cancer outpatients. The use of integrated layered Laplace approximation techniques has been made.ResultsThe study included 382 outpatients with breast cancer in total, and 148 (38.7%) patients died. 42 months was the estimated median patient survival time. The Bayesian Weibull accelerated failure time model was determined to be suitable using model selection criteria. Stage, grade 2, 3, and 4, co-morbid, histological type, FIGO stage, chemotherapy, metastatic number 1, 2, and >=3, and tumour size all have a sizable impact on the survival time of outpatients with breast cancer, according to the results of this model. The breast cancer outpatient survival time was correctly predicted by the Bayesian Weibull accelerated failure time model.ConclusionsCompared to high- and middle-income countries, the overall survival rate was lower. Notable variables influencing the length of survival following a breast cancer diagnosis were weight loss, invasive medullar histology, comorbid disease, a large tumour size, an increase in metastases, an increase in the International Federation of Gynaecologists and Obstetricians stage, an increase in grade, lymphatic vascular space invasion, positive regional nodes, and late stages of cancer. The authors advise that it is preferable to increase the number of early screening programmes and treatment centres for breast cancer and to work with the public media to raise knowledge of the disease's prevention, screening, and treatment choices.

The Role of Radical Cystectomy in Clinically Node Positive Bladder Cancer: A US Veterans Health Administration Study

IntroductionThe role of local definitive therapy in addition to systemic treatment in clinically positive regional lymph node (cN+) bladder cancer is yet to be determined. Herein, we sought to investigate the role of radical cystectomy (RC) in management of patients with cN+ bladder cancer at US Veterans Health Administration Facilities. MethodsWe identified patients diagnosed with cN+ bladder cancer between 2000-2017 using the Department of Veterans Affairs (VA) Informatics and Computing Infrastructure (VINCI). We employed a combination of database/registry coded values and chart review for data collection. To minimize mortality bias, we excluded patients who died within 90 days of diagnosis. We divided the patients into cystectomy (C) versus “no cystectomy” (NOC) cohorts. Propensity score matching was performed based on predictors of undergoing RC. Multivariable Cox models and Kaplan-Meier survival curves were used to estimate overall survival (OS) and cancer specific survival (CCS). ResultAfter matching, 158 patients were included in the C and NOC groups. In the C-group, 85(54%) patients received pre-cystectomy chemotherapy, and 73(46%) patients underwent post-cystectomy chemotherapy. In the C-group, 65(41%) patients and in the NOC-group, 66(42%) patients had clinical N1 disease (P = .77). In multivariable Cox model, undergoing RC was associated with improved OS (HR0.62; 95%CI 0.47-0.81), P < .001) and CSS (HR0.58; 95%CI 0.42-0.80; P < .001). ConclusionAs part of multimodal treatment, undergoing RC was associated with improved OS and CSS in subset of patients with cN+ bladder cancer. Prospective randomized trials are warranted to further investigate the role of local definitive therapy in this specific patient population.

Who can benefit from postmastectomy radiotherapy among HR+/HER2- T1-2 N1M0 breast cancer patients? An explainable machine learning mortality prediction based approach.

The necessity of postmastectomy radiotherapy(PMRT) for patients with HR+/HER2 T1-2 N1M0 breast cancer remains controversial. We want to use explainable machine learning to learn the feature importance of the patients and identify the subgroup of the patients who may benefit from the PMRT. Additionally, develop tools to provide guidance to the doctors. In this study, we trained and validated 2 machine learning survival models: deep learning neural network and Cox proportional hazard model. The training dataset consisted of 35,347 patients with HR+/HER2- T1-2 N1M0 breast cancer who received mastectomies from the SEER database from 2013 to 2018. The performance of survival models were assessed using a concordance index (c-index).Then we did subgroup analysis to identify the subgroup who could benefit from PMRT. We also analyzed the global feature importance for the model and individual feature importance for individual survival prediction. Finally, we developed a Cloud-based recommendation system for PMRT to visualize the survival curve of each treatment plan and deployed it on the Internet. A total of 35,347 patients were included in this study. We identified that radiotherapy improved the OS in patients with tumor size >14mm and age older than 54: 5-year OS rates of 91.9 versus 87.2% (radio vs. nonradio, P <0.001) and cohort with tumor size >14mm and grade worse than well-differentiated, 5-year OS rates of 90.8 versus 82.3% (radio vs. nonradio, P <0.001).The deep learning network performed more stably and accurately in predicting patients survival than the random survival forest and Cox proportional hazard model on the internal test dataset (C-index=0.776 vs 0.641) and in the external validation(C-index=0.769 vs 0.650).Besides, the deep learning model identified several key factors that significantly influence patient survival, including tumor size, examined regional nodes, age at 45-49 years old and positive regional nodes (PRN). Patients with tumor size >14mm and age older than 54 and cohort with tumor size >14mm and grade worse than well-differentiated could benefit from the PMRT. The deep learning network performed more stably and accurately in predicting patients survival than Cox proportional hazard model on the internal test. Besides, tumor size, examined regional nodes, age at 45-49 years old and PRN are the most significant factors to the overall survival (OS).

Disparities in surgical outcomes and survival based on insurance status among patients with fibrolamellar hepatocellular carcinoma: A national perspective.

440 Background: Fibrolamellar hepatocellular carcinoma (FL-HCC), encompassing 1%-5% of all liver cancers, is a rare, malignant cancer that typically affects patients less than 40 years old. FL-HCC usually affects individuals with healthy livers and initially presents asymptomatically. Prior studies describe the importance of surgery on survival, with a 5-year survival of about 44%-68% with surgery versus 2%-17% without surgery. Disparities in outcomes regarding surgical factors and survival between private insurance, Medicare, Medicaid, and no insurance remain unknown. This study aims to determine differential surgical factors and survival of patients with FL-HCC based on insurance status. Methods: The National Cancer Database was used to identify patients diagnosed with FL-HCC from 2004-2019 using the histology code 8171 as assigned by the Commission on Cancer Accreditation program. Kaplan-Meier, Chi-Square, ANOVA, and Cox Proportional Hazards tests were performed. Data was analyzed using SPSS version 29 and statistical significance was set at α=0.05. Results: Of the 436 patients included, 241 (55%) had private insurance and 96 (22%) had Medicare. Patients with private insurance had a longer median survival (49 months) than patients with Medicare (18 months; p&lt;.001) and Medicaid (26 months; p&lt;.004);no significant survival difference existed between Medicare, Medicaid, and no insurance (39 months) ( p’s≥.063). After controlling for age, income, tumor size, adjuvant therapy, receiving surgery, and surgical margins of primary site, private insurance was associated with an independent decrease in hazard (HR=.899; p=.004).Patients with private insurance received more surgery (68%) than those with Medicaid (50%), no insurance (48%), and Medicare (32%) ( p’s&lt;.001); grade did not differ amongst insurance types ( p=.069).Furthermore, patients with private insurance had more surgical margins of the primary tumor site without residual tumor (57%) compared to those with Medicaid (40%), no insurance (38%), and Medicare (23%) ( p’s&lt;.001).While patients with Medicare presented with greater co-morbidities, age at diagnosis (67), tumor size (476 mm), positive regional lymph nodes (90), and days between diagnosis and treatment (45), patients with private insurance presented at a younger age (31) with fewer co-morbidities, smaller sized tumors (366 mm), and fewer days between diagnosis and treatment (26) ( p’s&lt;.018). Conclusions: Since patients with private insurance received the most surgery, best surgical margins, and displayed the highest overall survival, while patients with Medicare were diagnosed at the highest age with the largest tumor size and most positive regional lymph nodes, future research should explore ways to alleviate the disparity in factors affecting surgical resections and early diagnoses among insurance statuses.

Patient factors and survival outcomes of pancreatic signet cell carcinoma: A comprehensive review and analysis.

608 Background: Pancreatic signet cell carcinoma is an aggressive, rare subtype of pancreatic adenocarcinoma that constitutes less than 1% of all pancreatic cancers. This subtype can manifest as solitary cells or a cluster within the background of pancreatitis, often leading to an incorrect diagnosis during biopsies. The rarity and challenges associated with its diagnosis significantly impact its poor prognosis. With an average age of diagnosis of 67.3 years and a median life expectancy of 12.6 months, there exists a lack of information on the disparities that exist in these patients and how patient demographics contribute to differences in survival outcomes. Methods: We used the National Cancer Database to identify patients diagnosed with pancreatic signet ring cell carcinoma (ICD-O-3 histology code 8490) between 2004-2019 (N=1746). Survival was evaluated using Kaplan-Meier curves and log-rank tests. Significance was set at p&lt;0.05. Results: When analyzing insurance status, patients with private insurance had a statistically improved survival outcome (14.3 months) compared to those with Medicare (11.3 months), Medicaid (9.2 months) and without insurance (11.8 months) (p&lt;0.05). Patients with private insurance had fewer positive regional lymph nodes (73), lower grade/differentiation (5.80) and an average tumor size of 444.40 millimeters. Patients treated at academic research programs had a statistically better survival outcome (15.1 months) compared to patients treated at comprehensive community (10.4 months) and integrated network (9.1 months) programs (p&lt;0.001). Surgical treatment had statistically improved survival outcomes compared to non-surgical treatment (p&lt;0.001) with the majority of these procedures being a partial pancreatectomy and duodenectomy with a partial gastrectomy. More patients received surgical intervention at academic research programs (p&lt;0.001), and patients with private insurance predominately attended academic research programs (p&lt;0.001). Conclusions: Factors associated with increased survival outcomes include insurance status, positive regional lymph nodes, grade/differentiation, treatment facility type and surgical intervention. These findings make a valuable contribution to the ongoing research on disparities affecting survival in patients with pancreatic signet cell carcinoma.

Patterns of surgery and adjuvant therapy in pancreatic carcinoid tumor: An NCDB analysis.

631 Background: Pancreatic Carcinoid Tumor (PCT) is a neuroendocrine tumor (NET) of the gastrointestinal (GI) tract composed of Argentaffin cells. Of the primary pancreatic cancers, NETs are exceedingly rare in comparison to pancreatic adenocarcinoma, accounting for less than 2% of pancreatic cancer diagnoses. PCTs constitute for only a subset of these and hold a better prognosis than adenocarcinoma (What Is a Pancreatic Neuroendocrine Tumor? | American Cancer Society, n.d.). GI carcinoid tumors classically originate in the appendix, ileum, or rectum, and are seldom a primary neoplasm of the pancreas. PCTs generate secretory products with Serotonin being the most frequently isolated. Some cases may produce a carcinoid syndrome with characteristic diarrhea, cutaneous flushing, and bronchospasm (Ha &amp; Tan, 2012). Surgical resection is the hallmark of treatment, though other modalities of management are available. Due to the rarity of PCT, no significant study exists in the literature analyzing the association of survival with receipt of surgery or predictors of receipt of surgery. Methods: The National Cancer Database (NCDB) was used to identify patients diagnosed with PCT from 2004 to 2019 using the histology codes 8240 as assigned by the Commission on Cancer Accreditation program. Kaplan-Meier, ANOVA Chi-Square, Binary Logistic Regression and Cox Proportional Hazards tests were performed. Data was analyzed using SPSS version 29 and statistical significance was set at α = 0.05. Results: 2237 patients with PCT formed the final sample, with an average age of 61 years of age. 724 patients (32.3%) underwent surgery of the primary site, 72 (3.2%) received adjuvant chemotherapy, and 9 (0.4%) received adjuvant radiation. Surgery alone was associated with the longest median survival ( 198.5 months) compared to the other treatments ( Adjuvant chemotherapy=155.3 months, Adjuvant radiation=122.7 months, No surgery=73.95 months; p&lt;0.05). After controlling for covariates, receipt of surgery was independently associated with decreased overall mortality ( HR=.380; p&lt;0.05). Decreased age, lower grade tumors, and fewer positive regional lymph nodes were significantly associated with increased odds of receiving surgery. Additionally, treatment at an academic facility and private insurance status was associated with significantly higher rates of surgery. Patients who did not receive surgery were significantly older, had later stage disease, higher co-morbidity scores, and larger tumor size. Income level and race had no effect on treatment selection. Conclusions: This study found that surgery alone without adjuvant therapy is independently associated with improved survival. Favorable clinical characteristics may be contributing to this discrepancy in survival. Further exploration of treatment strategies in PCT may benefit patients through the creation of definitive treatment guidelines to manage this disease.

Factors Associated with Total Laryngectomy Utilization in Patients with cT4a Laryngeal Cancer.

Despite recommendations for upfront total laryngectomy (TL), many patients with cT4a laryngeal cancer (LC) instead undergo definitive chemoradiation, which is associated with inferior survival. Sociodemographic and oncologic characteristics associated with TL utilization in this population are understudied. This retrospective cohort study utilized hospital registry data from the National Cancer Database to analyze patients diagnosed with cT4a LC from 2004 to 2017. Patients were stratified by receipt of TL, and patient and facility characteristics were compared between the two groups. Logistic regression analyses and Cox proportional hazards methodology were performed to determine variables associated with receipt of TL and with overall survival (OS), respectively. OS was estimated using the Kaplan-Meier method and compared between treatment groups using log-rank testing. TL usage over time was assessed. There were 11,149 patients identified. TL utilization increased from 36% in 2004 to 55% in 2017. Treatment at an academic/research program (OR 3.06) or integrated network cancer program (OR 1.50), male sex (OR 1.19), and Medicaid insurance (OR 1.31) were associated with increased likelihood of undergoing TL on multivariate analysis (MVA), whereas age > 61 (OR 0.81), Charlson-Deyo comorbidity score ≥ 3 (OR 0.74), and clinically positive regional nodes (OR 0.78 [cN1], OR 0.67 [cN2], OR 0.21 [cN3]) were associated with decreased likelihood. Those undergoing TL with post-operative radiotherapy (+/- chemotherapy) had better survival than those receiving chemoradiation (median OS 121 vs. 97 months; p = 0.003), and TL + PORT was associated with lower risk of death compared to chemoradiation on MVA (HR 0.72; p = 0.024). Usage of TL for cT4a LC is increasing over time but remains below 60%. Patients seeking care at academic/research centers are significantly more likely to undergo TL, highlighting the importance of decreasing barriers to accessing these centers. Increased focus should be placed on understanding and addressing the additional patient-, physician-, and system-level factors that lead to decreased utilization of surgery.

Development and validation of an online dynamic prognostic nomogram for incidental gallbladder adenocarcinoma patients without distant metastasis after surgery: a population-based study.

Gallbladder cancer is the most common malignant tumor of the biliary system, most of which is adenocarcinoma. Our study explored developing and validating a nomogram to predict overall and cancer-specific survival probabilities internally and externally for incidental gallbladder adenocarcinoma patients without distant metastasis after surgery. Patients screened and filtered in the Surveillance, Epidemiology, and End Results (SEER) database, whose years of diagnosis between 2010 and 2015 were collected as a derivation cohort, while those between 2016 and 2019 were a temporal validation cohort. Overall survival (OS) and cancer-specific survival (CSS) were chosen as the primary and secondary endpoints of the retrospective study cohort. Potential clinical variables were selected for a Cox regression model analysis by performing both-direction stepwise selection to confirm the final variables. The performance of final nomograms was evaluated by Harrell's C statistic and Brier score, with a graphical receptor operating characteristic (ROC) curve and calibration curve. Seven variables of age, race, tumor size, histologic grade, T stage, regional lymph nodes removed, and positive regional lymph nodes were finally determined for the OS nomogram; sex had also been added to the CSS nomogram. Novel dynamic nomograms were established to predict the prognosis of incidental gallbladder adenocarcinoma patients without distant metastasis after surgery. The ROC curve demonstrated good accuracy in predicting 1-, 3-, and 5-year OS and CSS in both derivation and validation cohorts. Correspondingly, the calibration curve presented perfect reliability between the death or cancer-specific death probability and observed death or cancer-specific death proportion in both derivation and validation cohorts. Our study established novel dynamic nomograms based on seven and eight clinical variables separately to predict OS and CSS of incidental gallbladder adenocarcinoma patients without distant metastasis after surgery, which might assist doctors in advising and guiding therapeutic strategies for postoperative gallbladder adenocarcinoma patients in the future.

68Ga-Labeled Fibroblast Activation Protein Inhibitor PET/CT for the Early and Late Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer Patients: A Prospective Study.

68Ga-labeled fibroblast activation protein inhibitor (68Ga-FAPI) PET/CT has demonstrated promising clinical results, with a higher SUVmax and tumor-to-background ratio (TBR) in breast cancer (BC) patients than 18F-FDG PET/CT. Here, we aimed to evaluate the suitability of 68Ga-FAPI PET/CT for the early and late prediction of the pathologic response to neoadjuvant chemotherapy (NAC) in BC. Methods: Twenty-two consecutive patients with newly diagnosed BC and an indication for NAC were prospectively included. All patients underwent standard chemotherapy and 68Ga-FAPI PET/CT at baseline, after 2 cycles of NAC (PET2), and 1 wk before surgery (PET3). SUVmax was measured in the primary tumor region and positive regional lymph nodes. The expression of fibroblast activation protein in the primary lesion was analyzed by immunohistochemistry. Results: Seven patients (31.8%) achieved a pathologic complete response (pCR), and 15 (68.2%) had residual tumors. Thirteen patients (59.1%) showed concentric withdrawal of the primary tumor, and 9 (40.9%) showed diffuse withdrawal. Between PET2 and PET3, the ΔSUVmax of the primary tumor (R 2 = 0.822; P = 0.001) and metastatic lymph nodes (R 2 = 0.645; P = 0.002) were significantly correlated. The absolute values of SUVmax and TBR at PET2 and PET3 were lower in patients with pCR than in those without pCR (P < 0.05). Moreover, a larger ΔSUVmax at any time point was strongly associated with pCR (P < 0.05). Similar downward trends in SUVmax, TBR, and ΔSUVmax were observed in the pattern of primary tumor reduction. For predicting pCR, the optimal cutoff values for ΔSUVmax after 2 chemotherapy cycles, ΔSUVmax before surgery, TBR after 2 chemotherapy cycles, and TBR before surgery of the primary tumor were 3.4 (area under the curve [AUC], 0.890), 1.1 (AUC, 0.978), -63.8% (AUC, 0.879), -90.8% (AUC, 0.978), 7.6 (AUC, 0.848), and 1.4 (AUC, 0.971), respectively. Immunohistochemistry showed that the SUVmax and TBR of 68Ga-FAPI PET/CT were positively correlated with fibroblast activation protein expression (P < 0.001 for both). Conclusion: Assessment of early changes in 68Ga-FAPI uptake during NAC by 68Ga-FAPI PET/CT can predict pCR and primary tumor concentric withdrawal in BC patients. 68Ga-FAPI PET/CT has great potential for the early and late prediction of the pathologic response to NAC in BC.

Weekly Image Guidance in Patients with Cervical Cancer Treated with Intensity Modulated Radiation Therapy: Results of a Large Cohort Study

Given the motion of the cervix, uterus, and organs at risk, image guidance is recommended for patients undergoing intensity modulated radiation therapy (IMRT) for cervical cancer. However, daily image guidance can be resource intensive, particularly in developing countries. In this study, we evaluated the feasibility of a weekly image-guidance pattern and analyzed the long-term outcomes in a large cohort of patients. The study enrolled patients with stage IB-IVA cervical cancer who received concurrent chemotherapy between 2005 and 2015. IMRT was delivered at a dose of 50.4 Gy in 28 fractions, with weekly cone-beam CT scans for image guidance. Following the image guidance, physicians would advise patients on the suitability of rectum and bladder preparation to help them prepare on non-imaging days. When significant tumor regression was observed, a second CT simulation and re-planning were performed. Intracavitary brachytherapy was delivered at a dose of 30 Gy in 5 fractions. The concurrent chemotherapy regimen consisted of weekly cisplatin. A total of 1,433 patients were included in the study. The median follow-up periods for all patients and surviving patients were 63 months (ranging from 2 to 125 months) and 70 months (ranging from 3 to 125 months), respectively. The 5-year overall survival (OS), disease-free survival (DFS), and local control (LC) rates were 79.6%, 73.2%, and 86.5%, respectively. The estimated 8-year OS, DFS, and LC rates were 75.6%, 69.2%, and 85.2%, respectively. For patients with stage IB1, IB2, IIA, IIB, IIIA, IIIB, and IVA diseases (according to the 2014 FIGO staging system), the 5-year OS and DFS rates were 90.2% and 86.7%, 95.1% and 86.5%, 87.9% and 79.8%, 82.2% and 75.5%, 64.3% and 58.2%, 61.8% and 57.4%, and 43.8% and 19.4%, respectively. For patients with squamous cell carcinoma and adenocarcinoma, the 5-year DFS rates were 75.1% and 57.3%, respectively. For patients with positive regional lymph nodes, the 5-year OS and DFS rates were 64.1% and 57.8%, respectively. A total of 66 patients (4.6%) experienced grade 3-5 chronic toxicities, including 38 patients (2.7%) with gastrointestinal toxicities and 36 patients (2.5%) with genitourinary toxicities. IMRT with weekly image guidance resulted in high survival rates and acceptable toxicities. This indicates that weekly image guidance is acceptable in countries with limited medical resources.