Risk Of Metastasis In Patients Research Articles

Editorial Comment to "Can the Briganti 2019 nomogram be modified to predict lymph node metastasis risk in patients with prostate cancer detected with in-bore biopsy?"

Editorial Comment to "Can the Briganti 2019 nomogram be modified to predict lymph node metastasis risk in patients with prostate cancer detected with in-bore biopsy?"

Prognostic factors for lacrimal gland adenoid cystic carcinoma: a retrospective study in Chinese patients.

To explore the prognostic factors for lacrimal gland adenoid cystic carcinoma (LGACC) in Chinese patients. Clinical and histopathological data were reviewed in patients with pathologically confirmed LGACC. Local recurrence, metastasis, and disease-specific death were the main outcome measures. Univariate and multivariate analyses were performed by the Kaplan-Meier method and a Cox proportional hazard model. This retrospective cohort study included 45 patients with pathologically confirmed LGACC between January 2008 and June 2022. Tumor (T) classification (P=0.005), nodal metastasis (N) classification (P=0.018) and positive margin (P=0.008) were independent risk factors of recurrence; T (P=0.013) and N (P=0.003) classification and the basaloid tumor type (P=0.032) were independent risk factors for metastasis; T classification (P<0.001) was an independent factor of death of disease. In the further analysis, the durations from first surgery to radiotherapy is correlated with metastatic risk in LGACC patients with basaloid component (P=0.022). Histological subtype should be emphasized when evaluating prognosis and guiding treatment. Timely radiotherapy may reduce the risk of metastasis in patients with basaloid component.

Can the Briganti 2019 nomogram be modified to predict lymph node metastasis risk in patients with prostate cancer detected with in-bore biopsy?

We aimed to modify the Briganti 2019 nomogram and to test whether it is valid for patients who were diagnosed with prostate cancer through in-bore prostate biopsies. Data for 204 patients with positive multiparametric prostate MRI and prostate cancer identified either by mpMRI-cognitive/software fusion or in-bore biopsy and who underwent robot-assisted radical prostatectomy and extended pelvic lymph node dissection between 2012 and 2023 were retrospectively analyzed. The Briganti 2019 nomogram was applied to the mpMRI-cognitive/software fusion biopsy group (142 patients) in the original form, and then, two modifications were tested for the targeted component. Original and modified scores were compared. These modifications were adapted for the in-bore biopsy group (62 patients). The final histopathologic stage was regarded as the gold standard. Nodal metastases were identified in 18/142 (12.6%) of mpMRI-cognitive/software fusion biopsy patients and 8/62 (12.9%) of the in-bore biopsy patients. In the mpMRI-cognitive/software fusion biopsy group, tumor size/core size (%) of targeted biopsy cores and positive core percentage on systematic biopsy were significant parameters for lymph node metastasis based on univariate logistic regression analyses (p < 0.05). With the modifications of these parameters for the in-bore biopsy group, V1 modification of the Briganti 2019 nomogram provided 100% sensitivity and 31.5% specificity (AUC:0.627), while V2 modification provided 75% sensitivity and 46.3% specificity (AUC:0.645). Briganti 2019 nomogram may be modified by utilizing tumor size/core size (%) for targeted biopsy cores instead of positive core percentage on systematic biopsy or by not taking both parameters into consideration to detect node metastasis risk of patients diagnosed with in-bore biopsies.

A nomogram predicting distant metastasis risk for gastric cancer patients with preoperative anemia: a multicenter retrospective study

BackgroundAnemia represents a well-established risk factor for patients diagnosed with gastric cancer, and is often associated with an unfavorable prognosis. In this context, the timely prediction of distant metastasis risk in patients with anemic gastric cancer assumes paramount importance.MethodsInformation of gastric cancer patients complicated with preoperative anemia in the First Affiliated Hospital of Sun Yat-sen University was collected. The cohort from the First Affiliated Hospital of Guangxi Medical University was used as an external validation set. A Nomogram was established based on the risk factors screened by univariate and multivariate logistic regression analyses.ResultsA total of 848 gastric cancer patients with preoperative anemia were enrolled. Pyloric obstruction, carcinoma antigen 125, T stage, N stage, tumor size, and preoperative weight loss were independent predictors of distant metastasis in gastric cancer patients with anemia (p < 0.05), based on which a nomogram was constructed. The accuracy, reliability and clinical value of the nomogram were evaluated by concordance index, receiver operating characteristic curve, decision curve analysis, calibration curve and showed good stability and clinical predictive value.ConclusionsPreoperative anemic gastric cancer patients, complicated with pyloric obstruction, elevated CA125, advanced T and N stage, larger tumor size, and preoperative weight loss, should be paid more attention to distant metastasis.

Nomogram model of serum thymidine kinase 1 combined with ultrasonography for prediction of central lymph node metastasis risk in patients with papillary thyroid carcinoma pre-surgery.

The aim of this study was to develop a nomogram, using serum thymidine kinase 1 protein (STK1p) combined with ultrasonography parameters, to early predict central lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC) pre-surgery. Patients with PTC pre-surgery in January 2021 to February 2023 were divided into three cohorts: the observation cohort (CLNM, n = 140), the control cohort (NCLNM, n = 128), and the external verification cohort (CLNM, n = 50; NCLNM, n = 50). STK1p was detected by an enzyme immunodot-blot chemiluminescence analyzer and clinical parameters were evaluated by ultrasonography. A suitable risk threshold value for STK1p of 1.7 pmol/L was selected for predicting CLNM risk by receiver operating characteristic (ROC) curve analysis. Multivariate analysis identified the following six independent risk factors for CLNM: maximum tumor size >1 cm [odds ratio (OR) = 2.406, 95% confidence interval (CI) (1.279-4.526), p = 0.006]; capsule invasion [OR = 2.664, 95% CI (1.324-5.360), p = 0.006]; irregular margin [OR = 2.922; 95% CI (1.397-6.111), p=0.004]; CLN flow signal [OR = 3.618, 95% CI (1.631-8.027), p = 0.002]; tumor-foci number ≥2 [OR = 4.064, 95% CI (2.102-7.859), p < 0.001]; and STK1p≥1.7 pmol/L [OR = 7.514, 95% CI (3.852-14.660), p < 0.001]. The constructed nomogram showed that the area under the ROC curve for the main dataset was 0.867 and that for the validation dataset was 0.830, exhibiting effectivity, and was recalculated to a total score of approximately 383. Through monitoring the response post-surgery, all patients were assessed as tumor-free at 12 months post-surgery, which was significantly associated with a reduction in STK1p to disease-free levels. We demonstrate for the first time that a novel nomogram including STK1p combined with ultrasonography can assist in the clinical prevention of CLNM, by facilitating timely, individualized prophylactic CLNM dissection, thereby reducing the risk of secondary surgery and the probability of recurrence.

Impact of pulmonary vein-first ligation during lobectomy on the postoperative survival and recurrence rates in patients with non-smallcell lung cancer: a multicenter propensity score-matched study.

Surgical manipulation of the lungs increases the number of circulating tumor cells and the subsequent risk of metastasis in patients with lung cancer. This study investigated whether or not ligating the tumor-draining pulmonary vein first during lobectomy could improve the prognosis of these patients. We retrospectively evaluated patients who underwent curative lobectomy for solitary nonsmall-cell lung carcinoma between January 2012 and December 2016. We divided the patients into the vein-first group, in which all associated pulmonary veins were dissected and severed before cutting the pulmonary artery, bronchus, or pulmonary fissure, and the other procedure group. Overall, we included 177 and 413 patients in the vein-first and other procedure groups, respectively. Propensity score matching yielded 67 pairs of patients. The 5-year overall survival (85.6% [95% confidence interval, 77.3-94.8%] vs. 69.4% [58.7-81.9%], P = 0.03%) and recurrence-free survival (73.4% [63.3-85.1%] vs. 53.5% [42.5-67.3%], P = 0.02) were significantly better in the vein-first group than in the other procedure group. The cumulative recurrence rate at 5years post-surgery was significantly lower in the vein-first group than in the other procedure group (21.7% vs. 38.3%, P = 0.04). Our study suggests that ligating the pulmonary vein first during lobectomy for lung cancer can improve the overall survival, recurrence-free survival, and cumulative recurrence rate.

Exosome-sheathed porous silica nanoparticle-mediated co-delivery of 3,3′-diindolylmethane and doxorubicin attenuates cancer stem cell-driven EMT in triple negative breast cancer

BackgroundTherapeutic management of locally advanced and metastatic triple negative breast cancer (TNBC) is often limited due to resistance to conventional chemotherapy. Metastasis is responsible for more than 90% of breast cancer-associated mortality; therefore, the clinical need to prevent or target metastasis is immense. The epithelial to mesenchymal transition (EMT) of cancer stem cells (CSCs) is a crucial determinant in metastasis. Doxorubicin (DOX) is the frequently used chemotherapeutic drug against TNBC that may increase the risk of metastasis in patients. After cancer treatment, CSCs with the EMT characteristic persist, which contributes to advanced malignancy and cancer recurrence. The latest developments in nanotechnology for medicinal applications have raised the possibility of using nanomedicines to target these CSCs. Hence, we present a novel approach of combinatorial treatment of DOX with dietary indole 3,3′-diindolylmethane (DIM) which is an intriguing field of research that may target CSC mediated EMT induction in TNBC. For efficient delivery of both the compounds to the tumor niche, advance method of drug delivery based on exosomes sheathed with mesoporous silica nanoparticles may provide an attractive strategy.ResultsDOX, according to our findings, was able to induce EMT in CSCs, making the breast cancer cells more aggressive and metastatic. In CSCs produced from spheres of MDAMB-231 and 4T1, overexpression of N-cadherin, Snail, Slug, and Vimentin as well as downregulation of E-cadherin by DOX treatment not only demonstrated EMT induction but also underscored the pressing need for a novel chemotherapeutic combination to counteract this detrimental effect of DOX. To reach this goal, DIM was combined with DOX and delivered to the CSCs concomitantly by loading them in mesoporous silica nanoparticles encapsulated in exosomes (e-DDMSNP). These exosomes improved the specificity, stability and better homing ability of DIM and DOX in the in vitro and in vivo CSC niche. Furthermore, after treating the CSC-enriched TNBC cell population with e-DDMSNP, a notable decrease in DOX mediated EMT induction was observed.ConclusionOur research seeks to propose a new notion for treating TNBC by introducing this unique exosomal nano-preparation against CSC induced EMT.Graphical

The effect of surgery and metastatic risk prediction in patients with gastrointestinal tract signet-ring cell carcinoma

PurposeThis study aimed to assess the efficacy of surgery as a treatment option for patients with signet-ring cell carcinoma (SRCC) in the gastrointestinal tract (GI-SRCC). MethodsUsing the Surveillance, Epidemiology, and End Results database, patients with GI-SRCC who underwent surgery or received nonsurgical treatment were included. Propensity score matching (PSM) analysis was used to balance baseline characteristics and reduce bias. Overall survival (OS) was calculated in matching cohorts to estimate prognosis for patients with GI-SRCC. Nomogram was established to predict metastasis for patients with GI-SRCC. ResultsThe study enrolled a total of 9428 patients with GI-SRCC, with 1689 patients in the nonsurgery group and 7739 patients in the surgery group. After 1:1 PSM, we analyzed 743 patients from each group. Our survival analyses revealed that surgery independently correlated with improved OS for patients with GI-SRCC (hazard ratio, 0.37; 95% CI, 0.33–0.42; P < .001). Subgroup analysis further confirmed the positive impact of surgery on the prognosis of patients with nonmetastatic GI-SRCC. Notably, distinct subsets of patients with metastasis, particularly those originating from the upper GI (esophagus, proximal stomach, and distal stomach) and left colon, demonstrated a significant improvement in OS after surgery. However, no significant survival difference was observed for patients with metastatic right colon and rectum SRCC. Using nomogram, we quantitatively assessed the risk of metastasis in patients with right colon and rectum SRCC, which exhibited robust predictive accuracy, with area under the curve values of 0.829. ConclusionOur study highlighted surgery’s positive impact on prognosis for both patients with nonmetastatic and metastatic upper GI-SRCC and left colon SRCC. Hence, we recommend surgery as a treatment option for these groups. In addition, for patients with metastatic right colon and rectum SRCC ineligible for surgery, our predictive nomogram can offer a convenient tool to aid early intervention and improve prognosis.

Minimal Extrathyroid Extension (mETE) as the Only Risk Factor in Patients with Papillary Thyroid Carcinoma (PC): Its Clinical Impact on Recurrence and Outcome during Long-Term Follow-Up.

Minimal extrathyroid extension (mETE) effect on papillary thyroid carcinoma (PC) prognosis is still debated even more so now that this factor has been removed in the 8th AJCC Edition, supporting the hypothesis that mETE is not associated with aggressive tumors. We retrospectively enrolled 91 PC patients (Group 1) submitted to total thyroidectomy and radioiodine ablation. At the time of the primary tumor surgery, mETE was ascertained in all patients with no other risk factors, such as multifocality, vascular invasion, neck and distant metastases, and aggressive histological variants. As controls, 205 consecutive matched PC patients (Group 2) without mETE and the aforementioned risk factors were enrolled. During the follow-up (average 8 years), 16/91 (17.58%) Group 1 patients and 15/205 (7.32%) Group 2 patients developed metastases (p = 0.0078). Cox regression analysis showed an increased risk of metastases in patients with mETE (HR: 2.58 (95% CI 1.28-5.22) p = 0.008). Disease-free survival (DFS) was significantly lower in patients with mETE than in controls (p = 0.0059). The present study seems to demonstrate that mETE can be associated with an aggressive PC and can be considered, even alone without other risk factors, an independent factor of unfavorable DFS. Thus, by excluding mETE in the 8th AJCC Edition, patient care and management could be compromised.

P1212 Effects of Enterococcus faecalis-derived Gelatinase E on HCT116 colorectal cancer cells

Abstract Background The leading cause of death in colorectal cancer (CRC) patients is metastasis to crucial organs, such as the lung, brain and liver. The tumour microenvironment (TME) influences metastasis heavily. One important component in the TME of CRC is the microbiota. Microbiota can affect several pathways related to the origin of metastasis and reorganization of the extracellular matrix. One of the possible contributors to early CRC metastasis is Enterococcus faecalis. E. faecalis produces Gelatinase E (GelE), a quorum-sensing protein with collagenolytic properties. The primary goal of our study was to determine the effect of GelE on CRC behaviour, and especially on migration and invasion in HCT-116 human CRC cells. Moreover, we aimed to uncover the underlying pathways by which GelE influences CRC cells. Methods Extracellular GelE was purified from E. faecalis strain V583 from the culture medium. HCT-116 cells were cultured and exposed to different concentrations of GelE. We performed a viability assay using CCK-8 to assess potential toxicity of GelE. To test effects of GelE on collagen structure, we measured stiffness of collagen-I. A transwell assay was used to assess the influence of GelE on invasive capacity of cells through a collagen-I matrix. GelE exposed cells were assessed for shape and motility markers using immunofluorescent staining for β-catenin (cell shape) and loss of E-cadherin (cell motility marker). For mechanistic insight of GelE exposure on HCT116, we performed proteomics analysis on the cells. Results GelE treatment did not affect relative cell viability of HCT116 cells up to a concentration of 100 μg/ml. Exposure to GelE caused a concentration-dependent increase in HCT-116 cell invasion through collagen-I. The immunostainings showed a downregulation of E-cadherin, indicating an induction of cell motility. Immunostaining for β-catenin showed a statistically significant effect on cell shape, becoming more elongated, an additional indication of cell motility. Proteomics showed possible mechanistic pathways that explain the increased motility including activation of the SMAD pathway, RhoGTPAse activation and activation the urokinase-plasminogen system. Reactome database analysis on the proteomics data also revealed an increase in cell-cycle related pathways. Conclusion Our results indicate that E. faecalis-derived GelE drives HCT-116 invasion with an elongated motility. Therefore, drugs inhibiting the activity of GelE could decrease the risk of metastasis in patients with a high E. faecalis V583 abundance in the TME.

Prediction model of liver metastasis risk in patients with gastric cancer: A population-based study.

Liver was the most common site of distant metastasis in patients with gastric cancer (GC). The prediction model of the risk of liver metastasis was rarely proposed. Therefore, we aimed to establish a prediction model for liver metastasis in patients with GC. In this retrospective cohort study, we extracted demographic and clinical data of all the GC patients from the Surveillance, Epidemiology, and End Results registration database from 2010 to 2015. Patients were divided into training set (n = 1691) for model development and testing set (n = 3943) for validation. Univariable and multivariable logistic regression analyses were carried out on the training set to screen potential predictors of liver metastasis and constructed a prediction model. The receiver operator characteristics curves with the area under curve values were used to assess the predictive performance of the liver metastasis prediction model. And a nomogram of the prediction model was also constructed. Of the total 5634 GC patients, 444 (7.88%) had liver metastasis. Variables including age, gender, N stage, T stage, Lauren classification, tumor size, histological type, and surgery were included in the liver metastasis prediction model. The study results indicated that the model had excellent discriminative ability with an area under curve of 0.851 (95% confidence interval: 0.829-0.873) in the training set, and that of 0.849 (95% confidence interval: 0.813-0.885) in the testing set. We have developed an effective prediction model with 8 easily acquired predictors of liver metastasis. The prediction model could predict the risk of liver metastasis in GC patients and performed well, which would assist clinicians to make individualized prediction of liver metastasis in GC patients and adjust treatment strategies in time to improve the prognosis.

Hashimoto's Thyroiditis and Papillary Thyroid Carcinoma: A Follow-Up Study in Patients with Absence of Aggressive Risk Factors at the Surgery of the Primary Tumor.

Hashimoto's thyroiditis (HT) is often associated with papillary thyroid carcinoma (PC); it is still a matter of controversy whether the behavior of carcinoma is more aggressive or not. During the follow-up, we retrospectively enrolled 97 patients with PC/HT after thyroidectomy without risk factors at the surgery of the primary tumor, such as multifocality/multicentricity, extrathyroid tumor extension, vascular invasion, neck and distant metastases, and aggressive histological variants. HT diagnosis was confirmed by histology and serum thyroid antibodies. Tumor size was ≤10 mm in 64 cases (microcarcinomas); 206 matched PC patients after thyroidectomy without HT and risk factors were enrolled as controls, totaling 122 microcarcinomas. During follow-up, metastases occurred in 15/97 (15.5%) PC/HT cases, eight microcarcinomas, and in 16/206 (7.8%) without HT, eight microcarcinomas (p = 0.04). Considering both PC/HT and PC patients without HT who developed metastases, univariate analysis showed an increased risk of metastases in patients with HT coexistence, OR: 2.17 (95% CI 1.03-4.60) p = 0.043. Disease-free survival (DFS) was significantly (p = 0.0253) shorter in PC/HT than in the controls. The present study seems to demonstrate that HT is not a cancer protective factor in PC patients given the less favorable outcomes and significantly shorter DFS. HT may also represent an independent recurrence predictor without other risk factors.

The correlation between baseline calcitonin levels and the risk of metastasis in patients followed for medullary thyroid carcinoma

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

A practical dynamic nomogram model for predicting bone metastasis in patients with thyroid cancer.

The aim of this study was to established a dynamic nomogram for assessing the risk of bone metastasis in patients with thyroid cancer (TC) and assist physicians to make accurate clinical decisions. The clinical data of patients with TC admitted to the First Affiliated hospital of Nanchang University from January 2006 to November 2016 were included in this study. Demographic and clinicopathological parameters of all patients at primary diagnosis were analyzed. Univariate and multivariate logistic regression analysis was applied to build a predictive model incorporating parameters. The discrimination, calibration, and clinical usefulness of the nomogram were evaluated using the C-index, ROC curve, calibration plot, and decision curve analysis. Internal validation was evaluated using the bootstrapping method. A total of 565 patients were enrolled in this study, of whom 25 (4.21%) developed bone metastases. Based on logistic regression analysis, age (OR=1.040, P=0.019), hemoglobin (HB) (OR=0.947, P<0.001) and alkaline phosphatase (ALP) (OR=1.006, P=0.002) levels were used to construct the nomogram. The model exhibited good discrimination, with a C-index of 0.825 and good calibration. A C-index value of 0.815 was achieved on interval validation analysis. Decision curve analysis showed that the nomogram was clinically useful when intervention was decided at a bone metastases possibility threshold of 1%. This dynamic nomogram, with relatively good accuracy, incorporating age, HB, and ALP, could be conveniently used to facilitate the prediction of bone metastasis risk in patients with TC.

Risk of Lymph Node Metastasis in T1b Gastric Cancer: An International Comprehensive Analysis from the Global Gastric Group (G3) Alliance.

We sought to define criteria associated with low lymph node metastasis risk in patients with submucosal (pT1b) gastric cancer from 3 Western and 3 Eastern countries. Accurate prediction of lymph node metastasis risk is essential when determining the need for gastrectomy with lymph node dissection following endoscopic resection. Under present guidelines, endoscopic resection is considered definitive treatment if submucosal invasion is only superficial, but this is not routinely assessed. Lymph node metastasis rates were determined for patient groups defined according to tumor pathological characteristics. Clinicopathological predictors of lymph node metastasis were determined by multivariable logistic regression and used to develop a nomogram in a randomly selected subset that was validated in the remainder. Overall survival was compared between Eastern and Western countries. Lymph node metastasis was found in 701 of 3166 (22.1%) Eastern and 153 of 560 (27.3%) Western patients. Independent predictors of lymph node metastasis were female sex, tumor size, distal stomach location, lymphovascular invasion, and moderate or poor differentiation. Patients fulfilling the National Comprehensive Cancer Network guideline criteria, excluding the requirement that invasion not extend beyond the superficial submucosa, had a lymph node metastasis rate of 8.9% (53/594). Excluding moderately differentiated tumors lowered the rate to 3.4% (10/296). The nomogram's area under the curve was 0.690. Regardless of lymph node status, overall survival was better in Eastern patients. The lymph node metastasis rate was lowest in patients with well differentiated tumors that were ≤3 cm and lacked lymphovascular invasion. These criteria may be useful in decisions regarding endoscopic resection as definitive treatment for pT1b gastric cancer.

A Novel Predictive Model of Pathological Lymph Node Metastasis Constructed with Preoperative Independent Predictors in Patients with Renal Cell Carcinoma.

Introduction: Renal cell carcinoma (RCC) is one of the most common urinary tumors. The risk of metastasis for patients with RCC is about 1/3, among which 30−40% have lymph node metastasis, and the existence of lymph node metastasis will greatly reduce the survival rate of patients. However, the necessity of lymph node dissection is still controversial at present. Therefore, a new predictive model is urgently needed to judge the risk of lymph node metastasis and guide clinical decision making before operation. Method: We retrospectively collected the data of 189 patients who underwent retroperitoneal lymph node dissection or enlarged lymph node resection due to suspected lymph node metastasis or enlarged lymph nodes found during an operation in Tongji Hospital from January 2016 to October 2021. Univariate and multivariate logistic regression and least absolute shrinkage and selection operator (lasso) regression analyses were used to identify preoperative predictors of pathological lymph node positivity. A nomogram was established to predict the probability of lymph node metastasis in patients with RCC before surgery according to the above independent predictors, and its efficacy was evaluated with a calibration curve and a DCA analysis. Result: Among the 189 patients, 54 (28.60%) were pN1 patients, and 135 (71.40%) were pN0 patients. Three independent impact factors were, finally, identified, which were the following: age (OR = 0.3769, 95% CI = 0.1864−0.7622, p < 0.01), lymph node size according to pre-operative imaging (10−20 mm: OR = 15.0040, 95% CI = 1.5666−143.7000, p < 0.05; >20 mm: OR = 4.4013, 95% CI = 1.4892−7.3134, p < 0.01) and clinical T stage (cT1−2 vs. cT3−4) (OR = 3.1641, 95% CI = 1.0336−9.6860, p < 0.05). The calibration curve and DCA (Decision Curve Analysis) showed the nomogram of this predictive model had good fitting. Conclusions: Low age, large lymph node size in pre-operative imaging and high clinical T stage can be used as independent predictive factors of pathological lymph node metastasis in patients with RCC. Our predictive nomogram using these factors exhibited excellent discrimination and calibration.

A prognostic nomogram for papillary thyroid cancer lymph node metastasis based on immune score.

Papillary thyroid cancer (PTC) is the most common subtype of thyroid cancer and is characterized by an overall good prognosis and early-stage lymph node metastasis. The immune microenvironment is believed to play a crucial role in PTC initiation, progression and metastasis. However, to our knowledge, prognostic tools for thyroid cancer metastasis based on immune scores have not been adequately explored. This study aimed to construct a clinical nomogram to predict lymph node metastasis in patients with PTC. The genomic data and clinical-pathological characteristics of 447 PTC subjects were obtained from TCGA (The Cancer Genome Atlas data). Logistic regression models were performed for univariate and multivariate analyses to identify significant prediction factors. A prognostic nomogram was built based on the multivariate analysis results. The concordance index (C-index) and calibration curve were used to assess the predictive accuracy and discriminative ability of the model. The patients were divided into two subgroups based on immune scores. We found that patients with high immune scores had significantly higher lymph node metastasis risks (OR and 95% confidence interval [CI]: 1.774[1.130-2.784]) than those with low immune scores. The C-index for lymph node metastasis was 0.722 (95% CI, 0.671-0.774), which had a favorable performance for clinical prediction. The calibration curve for lymph node metastasis showed significant agreement between the nomogram prediction and actual observation. High immune scores are significantly correlated with higher lymph node metastasis risk in patients with PTC. Immune score-based prognostic nomograms may help to predict lymph node metastasis and have potential clinical application possibilities.

Increased risk of metastasis in patients with incidental use of renin-angiotensin system inhibitors: a retrospective analysis for multiple types of cancer based on electronic medical records.

Renin-angiotensin system inhibitors have been shown to prevent cancer metastasis in experimental models, but there are limited data in clinical studies. We aimed to explore whether renin-angiotensin system inhibitors administered during the period of cancer resection can influence the subsequent development of metastasis by analyzing multiple individual types of primary cancers. A total of 4927 patients who had undergone resection of primary cancers at Kyushu University Hospital from 2009 to 2014 were enrolled and categorized into 3 groups based on the use of antihypertensive drugs: renin-angiotensin system inhibitors, other drugs, and none. Cumulative incidence functions of metastasis, treating death as a competing risk, were calculated, and the difference was examined among groups by Gray's test. Fine and Gray's model was employed to evaluate multivariate-adjusted hazards of incidental metastasis. In the multivariate-adjusted analysis, patients with skin and renal cancers showed statistically higher risks of metastasis with the use of renin-angiotensin system inhibitors (hazard ratio [95% confidence interval], 5.81 [1.07-31.57] and 4.24 [1.71-10.53], respectively). Regarding pancreatic cancer, patients treated with antihypertensive drugs other than renin-angiotensin system inhibitors had a significantly increased risk of metastasis (hazard ratio [95% confidence interval], 3.31 [1.43-7.69]). Future larger studies are needed to ascertain whether renin-angiotensin system inhibitors can increase the risk of metastasis in skin and renal cancers, focusing on specific tissue types and potential factors associated with renin-angiotensin system inhibitor use.

32344 The 31-gene expression profile stratifies recurrence and metastasis risk in patients with cutaneous melanoma

Background: Sentinel node biopsy is a prognostic indicator of melanoma recurrence. We hypothesized that the addition of the primary melanoma molecular signature from the 31-gene expression profile (31-GEP) test could refine the risk of recurrence for patients with a negative, positive, or no sentinel node biopsy, respectively. Materials and methods: Kaplan-Meier, Cox regression, and accuracy metrics were retrospectively analyzed for 438 patients with stage I-III melanoma from 2 surgical oncology centers and 1 dermatology center, consecutively tested with the 31-GEP test. Patients were stratified by the 31-GEP as low-risk (Class 1A), intermediate-risk (Class 1B/2A), and high-risk (Class 2B) of recurrence or metastasis. Results: The 31-GEP significantly stratified patient risk for RFS (P < .001), DMFS (P < .001), and MSS (P < .001), and was a significant, independent predictor of metastatic recurrence (HR 5.38, P = .014). Combining the 31-GEP with sentinel lymph node status identified patients with higher (26.7%; Class 2B/node-positive) or lower (2.0%; Class 1A/node-negative) recurrence risk than if using SLN status alone. Conclusions: The 31-GEP improves prognostic accuracy in stage I-III melanoma.

Metastatic risk of prognostic fine-needle aspiration biopsy in u veal melanoma patients

Despite the widespread u se of fine-needle aspiration biopsy (FNAB) of uveal melanoma (UM) for prognostic purposes, there are still doubts about the safety of this procedure. No analysis of such data can be found in domestic literature, and foreign authors have published only a few papers on this issue.The purpose of this study is to analyze the risk of metastasis in patients with UM during FNAB.Two groups of patients were formed: the main group, where FNAB was performed during brachytherapy (BT) (BT + FNAB) (n = 70), and the control group, where only BT was performed (n = 144).According to the obtained data, the probability of metastases during a 3‑year follow-up period did not significantly differ between the two groups (p = 0.22 by Fisher's exact test and p = 0.11 by log-rank test when assessing survival using the Kaplan – Meier method), the relative risk (RR) was 1.43 [95 % CI 0.79 to 2.24]. In addition, there was no significant difference in the main clinical outcomes of local treatment associated with worse prognosis: the degree of tumor regression (p = 0.46), extrascleral growth, the need for additional brachytherapy (p = 0.32) or secondary enucleation (p = 0.99).The absence of a significant difference in patient survival between the BT and BT + FNAB groups opens up prospects for a more extensive use of FNAB in patients with UM for prognostic purposes.