Distant Metastasis In Patients Research Articles

18F]FDG PET/CT versus [18F]FDG PET/MRI in staging of non-small cell lung cancer: a head-to-head comparative meta-analysis

PurposeThis meta-analysis aims to compare the diagnostic efficacy of [18F]FDG PET/CT and [18F]FDG PET/MRI in patients with non-small cell lung cancer (NSCLC).MethodsAn extensive literature search was conducted throughout the PubMed, Embase, and Web of Science databases for works accessible through September 2024. We included studies assessed the diagnostic efficacy of [18F]FDG PET/CT and [18F]FDG PET/MRI in NSCLC.ResultsThe meta-analysis includes six studies with a total of 437 patients. The sensitivity and specificity of [18F]FDG PET/CT and [18F]FDG PET/MRI for detecting lymph node metastasis were similar, at 0.82 (0.68–0.94) vs. 0.86 (0.70–0.97) and 0.88 (0.76–0.96) vs. 0.90 (0.85–0.94), respectively, with no significant differences (p = 0.70 for sensitivity, p = 0.75 for specificity). For distant metastasis, the sensitivity of [18F]FDG PET/CT and [18F]FDG PET/MRI was 0.86 (0.60–1.00) and 0.93 (0.63–1.00), and specificity was 0.89 (0.65–1.00) vs. 0.90 (0.64–1.00), respectively, also showing no significant differences (p = 0.66 for sensitivity, p = 0.97 for specificity).ConclusionOur meta-analysis shows that [18F]FDG PET/MRI has similar sensitivity and specificity to [18F]FDG PET/CT in identifying lymph node and distant metastases in patients with NSCLC. Additional larger sample prospective studies are needed to confirm these findings.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023479817, CRD42023479817.

Prognostic role of palliative resection for distant metastasis in patients with colorectal cancer over 80 years old

Prognostic role of palliative resection for distant metastasis in patients with colorectal cancer over 80 years old

Exon 1 methylation status of CDH13 is associated with decreased overall survival and distant metastasis in patients with postoperative colorectal cancer

BackgroundCadherin 13 (CDH13) is a member of the cadherin superfamily that exerts tumor-suppressive effects on cancers derived from epithelial cells. Although hypermethylation of CDH13 promoter has been reported in various cancers, its prognostic value for colorectal cancer (CRC) is still controversial. The methylation alterations of CDH13 within exon 1 have not yet been investigated.MethodsA total of 49 CRC patients were recruited for the prospective study. The methylation status of CpG sites was quantified by Bisulfite Amplicon Sequencing (BSAS) in malignant tissues and adjacent normal tissues. The primary endpoint of the study was overall survival (OS) after surgery. The relationship between methylation level with pathological stage and OS was also evaluated.ResultsCompared with adjacent normal tissues, the overall average methylation level within exon 1 was significantly increased in tumor tissues (p < 0.001). The association study showed that the hypermethylation status of the CpG1 site was non-significantly associated with the presence of distant metastasis (p = 0.032). Moreover, the hypermethylation of two CpG sites, including CpG1 (p = 0.003) and CpG5 (p = 0.032), was associated with worse OS in CRC. Co-hypermethylation of CpG1 and CpG5 sites was significantly associated with a worse clinical outcome (HR: 4.43 [95% CI 1.27–15.46]; p = 0.019) in multivariate Cox regression analysis.ConclusionThe methylation level of CDH13 exon 1 in CRC tissue was significantly higher than in adjacent normal tissues. Hypermethylation at the CpG1 site suggests a risk of distant metastasis in CRC. The hypermethylation of the CpG1 site and CpG5 site, including the co-hypermethylation of these two sites, may serve as a valuable prognostic biomarker.

Value of [68Ga]Ga-NYM046 PET/CT, in Comparison with 18F-FDG PET/CT, for Diagnosis of Clear Cell Renal Cell Carcinoma.

This study aimed to investigate the diagnostic efficacy of [68Ga]Ga-NYM046 PET/CT in animal models and patients with clear cell renal cell carcinoma (ccRCC) and to compare its performance with that of 18F-FDG PET/CT. Methods: The invivo biodistribution of [68Ga]Ga-NYM046 was evaluated in mice bearing OS-RC-2 xenografts. Twelve patients with ccRCC were included in the study; all completed paired [68Ga]Ga-NYM046 PET/CT and 18F-FDG PET/CT. The diagnostic efficacies of these 2 PET tracers were compared. Moreover, the positive rate of carbonic anhydrase IX in the pathologic tissue sections was compared with the SUVmax obtained by PET/CT. Results: The tumor accumulation of [68Ga]Ga-NYM046 at 1 h after injection in OS-RC-2 xenograft tumor models was 7.21 ± 2.39 injected dose per gram of tissue. Apart from tumors, the kidney and stomach showed high-uptake distributions. In total, 9 primary tumors, 96 involved lymph nodes, and 147 distant metastases in 12 patients were evaluated using [68Ga]Ga-NYM046 and 18F-FDG PET/CT. Compared with 18F-FDG PET/CT, [68Ga]Ga-NYM046 PET/CT detected more primary tumors (9 vs. 1), involved lymph nodes (95 vs. 92), and distant metastases (137 vs. 127). In quantitative analysis, the primary tumors' SUVmax (median, 13.5 vs. 2.4; z = -2.668, P = 0.008) was significantly higher in [68Ga]Ga-NYM046 PET/CT. Conversely, the involved lymph nodes' SUVmax (median, 5.9 vs. 7.6; z = -3.236, P = 0.001) was higher in 18F-FDG PET/CT. No significant differences were found for distant metastases (median SUVmax, 5.0 vs. 5.0; z = -0.381, P = 0.703). Higher [68Ga]Ga-NYM046 uptake in primary tumors corresponded to higher expression of carbonic anhydrase IX, with an R 2 value of 0.8274. Conclusion: [68Ga]Ga-NYM046 PET/CT offers a viable strategy for detecting primary tumors, involved lymph nodes, and distant metastases in patients with ccRCC.

Modern management of distant metastases from head and neck squamous cell carcinoma.

The rate of distant metastases in patients with head and neck squamous cell carcinoma (HNSCC) ranges between 4 and 26%. Their appearance marks a critical stage in disease progression, significantly reducing survival rates. Treatment options require a multidisciplinary approach and differ based on the number and extension of distant metastases. The aim of this narrative review is to provide a comprehensive and updated overview of the current state of the art in management of such a clinical scenario. Accurate detection and staging of distant metastases are essential to determine prognosis and guide therapeutic strategies. Oligometastatic condition refers to patients with only a few distant metastases (up to 5). Surgery or stereotactic body radiotherapy are the best curative treatment options for oligometastatic. However, the majority of HNSCC has a polymetastatic disease, not amenable to curative approach. Therefore, systemic therapies, including chemotherapy (CHT) or target molecular therapy and/or best supportive care, are usually reserved to these patients. Rarely, head and neck region, in particular supraclavicular cervical lymph nodes, may be a site of distant metastases from non-head and neck cancer, particularly from the genitourinary and gastrointestinal tracts. The occurrence of distant metastases in HNSCC represents a pivotal point in the disease progression, lowering survival rates. Pattern of distant metastases has been related to survival outcomes. Patients with distant metastases from an HNSCC always require a multidisciplinary approach and an accurate selection is necessary to individualize the best treatment strategy.

Delta-Radiomics Approach Using Contrast-Enhanced and Noncontrast-Enhanced Computed Tomography Images for Predicting Distant Metastasis in Patients With Borderline Resectable Pancreatic Carcinoma

PurposeTo predict distant metastasis (DM) in patients with borderline resectable pancreatic carcinoma (BRPC) using delta-radiomics features calculated from contrast-enhanced computed tomography (CECT) and non-CECT images. MethodsAmong 250 patients who underwent radiotherapy at our institution between February 2013 and December 2021, 67 patients were deemed eligible. A total of 11 clinical features and 3,906 radiomics features were incorporated. Radiomics features were extracted from CECT and non-CECT images and the differences between these features were calculated, resulting in delta-radiomics features. The patients were randomly divided into the training (70%) and test (30%) datasets for model development and validation. Predictive models were developed with clinical features (clinical model), radiomics features (radiomics model), and a combination of the abovementioned features (hybrid model) using Fine–Gray regression (FG) and random survival forest (RSF). Optimal hyperparameters were determined using stratified five-fold cross-validation. Subsequently, the developed models were applied to the remaining test datasets, and the patients were divided into the high- or low-risk groups based on their risk scores. Prognostic power was assessed using the concordance index (C-index) with 95% confidence intervals obtained through 2,000 bootstrapping iterations. Statistical significance between the two groups was assessed using Gray's test. ResultsAt a median follow-up period of 23.8 months, 47 (70.1%) patients developed DM. The C-indices of the FG-based clinical, radiomics, and hybrid models were 0.548, 0.603, and 0.623, respectively, in the test dataset, whereas those of the RSF-based models were 0.598, 0.680, and 0.727, respectively. The RSF-based model, including delta-radiomics features, significantly divided the cumulative incidence curves into two groups (P<0.05). The feature map of the gray-level size-zone matrix showed that the difference in feature values between CECT and non-CECT images correlated with the incidence of DM. ConclusionsDelta-radiomics features obtained from CECT and non-CECT images using RSF successfully predict the incidence of DM in patients with BRPC.

Correlation Between Tumor Budding and Survivin Expression in Colorectal Cancer.

Correlation of Survivin expression levels in tumor tissues and degree of tumor outgrowth with colorectal cancer characteristics. The pathological tissues of 90 cases of colorectal cancer were observed by HE staining, and the tumor budding was judged by Ueno standard, and the expression of Survivin was detected by immunohistochemistry (IHC) technique (EnVision method), so as to analyze the correlation between tumor budding, the expression level of Survivin and the degree of tumor budding, and the correlation between the tumor budding and the patients' clinical characteristics. The expression level of Survivin was significantly correlated with TNM stage, lymph node metastasis and distant metastasis in patients with colorectal cancer; tumor outgrowth was significantly correlated with TNM stage, lymph node metastasis and distant metastasis in patients with colorectal cancer (P < 0.05); the expression level of Survivin was significantly correlated with the degree of tumor budding in patients with colorectal cancer (P < 0.05). In this paper, we tested the relationship between Survivin and tumor budding in colon cancer, and analyzed its relationship with clinicopathological features, with a view to providing a reference for the mechanism related to colorectal cancer.

Breast Surgical Conservation Therapy versus Mastectomy in Multifocal or Multicentric Breast Cancer; A Systematic Review and Meta-Analysis

Abstract Background Breast cancer affects 1.7 million women annually worldwide, the majority of whom are treated surgically. Multiple ipsilateral breast cancers are collectively defined as more than one synchronous ipsilateral cancer at diagnosis. The term Multiple ipsilateral breast cancers denotes either multifocal breast cancers that occur within proximity separated by approximate radiological distances of 20–50 mm of normal tissue, or multicentric cancers occurring further apart in the breast at distances exceeding 50 mm. Objective To assess overall survival (OS), local recurrence and cosmetic results between conservative surgical approach and mastectomy in ipsilateral MF and MC breast cancer and to explore whether BCT was feasible for female patients with MF/MC breast cancer. Patients and Methods The PubMed, web of science and Scopus were searched on November 2010. The keywords were ipsilateral multiple breast cancer, conservative surgery and Radical mastectomy. Results In our Study twelve trials included 1906 patients, six trials regarding comparison between Breast conservative surgery and mastectomy and six trials regarding Breast conservative surgery in the management of the multifocal/multicentric breast lesions. Regarding local recurrence was assessed in six trials comparing between Breast conservative surgery and mastectomy and six trials regarding Breast conservative surgery in the management of the multifocal/multicentric breast lesions. Conclusion In MF/MC breast cancer patients, Local and regional recurrence in addition to, distant metastasis in patients undergoing BCT has no statistically difference compared to patients undergoing mastectomy. Further prospective studies should be investigated to refine the prognosis and to optimize the treatment in patients with MF/MC breast cancer.

Individualized evaluation of risk and prognosis in uterine leiomyosarcoma patients with synchronous distant metastases: a real-world retrospective study.

Uterine leiomyosarcoma (uLMS) accounts for roughly 70% of all uterine sarcomas, with recurrence and mortality rates notably higher than those of other uterine tumors. The prognosis of uLMS patients who have distant metastases remains poor. The objective of this study was to determine independent risk variables related to distant metastases in patients with uLMS and prognostic factors for those with distant metastases. Subsequently, two practical nomograms were developed and validated to assess the probability of distant metastases and predict survival outcomes for these with distant metastases, respectively. A real-world retrospective study was carried out using data from patients diagnosed with primary uLMS in the Surveillance, Epidemiology, and End Results (SEER) database spanning the years 2010 to 2015. Univariate andmultivariate logistic regression analyses were utilized to identify clinicopathological characteristics related to the risk of distant metastases, while univariate and multivariate Cox regressions were employed to determine prognostic factors. Then, a risk nomogram incorporating independent risk variables and a prognostic nomogram integrating independent prognostic factors were established in the training cohort and validated for accuracy in the validation cohort, respectively. Receiver operating characteristic (ROC) curves, area under the curve (AUC), and calibration curves were utilized to measure the accuracy of nomograms, while decision curve analysis (DCA) curves were employed to assess their clinical benefit capacity. Based on the median total point derived from the prognostic nomogram, patients were stratified into high- and low-risk groups. The differentiation ability of the prognostic nomogram was evaluated using Kaplan-Meier survival analysis with the log-rank test. The study encompassed 1,362 patients diagnosed with uLMS, among whom 337 cases (24.7%) manifested synchronous distant metastases at the initial diagnosis. Univariate and multivariate logistic regression analyses identified race, histological grade, T stage, N stage, tumor size, surgery, and chemotherapy as independent risk factors for distant metastases in uLMS patients. The outcomes of both univariate and multivariate Cox analyses indicated that surgery and chemotherapy emerged as independent protective factors for prognosis in uLMS patients with distant metastases, whereas higher histological grade and T stage were identified as independent risk factors. The risk nomogram incorporating independent risk variables and the prognostic nomogram integrating independent prognostic factors could respectively predict the risk of metastases and the prognosis very effectively in both training and validation cohorts. In summary, we developed the novel well-validated risk nomogram to precisely assess the probability of metastases in uLMS patients and prognostic nomogram to predict the prognosis of those with distant metastases, providing decision-making guidance for tailoring individualized clinical management of these patients.

A clinical prediction model for distant metastases of pediatric neuroblastoma: an analysis based on the SEER database.

Patients with distant metastases from neuroblastoma (NB) usually have a poorer prognosis, and early diagnosis is essential to prevent distant metastases. The aim was to develop a machine-learning model for predicting the risk of distant metastasis in patients with neuroblastoma to aid clinical diagnosis and treatment decisions. We built a predictive model using data from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2018 on 1,542 patients with neuroblastoma. Seven machine-learning methods were employed to forecast the likelihood of neuroblastoma distant metastases. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for building machine learning models. Secondly, the subject operating characteristic area under the curve (AUC), Precision-Recall (PR) curves, decision curve analysis (DCA), and calibration curves were used to assess model performance. To further explain the optimal model, the Shapley summation interpretation method (SHAP) was applied. Ultimately, the best model was used to create an online calculator that estimates the likelihood of neuroblastoma distant metastases. The study included 1,542 patients with neuroblastoma, multifactorial logistic regression analysis showed that age, histology, tumor size, tumor grade, primary site, surgery, chemotherapy, and radiotherapy were independent risk factors for distant metastasis of neuroblastoma (P < 0.05). Logistic regression (LR) was found to be the optimal algorithm among the seven constructed, with the highest AUC values of 0.835 and 0.850 in the training and validation sets, respectively. Finally, we used the logistic regression model to build a network calculator for distant metastasis of neuroblastoma. The study developed and validated a machine learning model based on clinical and pathological information for predicting the risk of distant metastasis in patients with neuroblastoma, which may help physicians make clinical decisions.

Machine learning to predict distant metastasis and prognostic analysis of moderately differentiated gastric adenocarcinoma patients: a novel focus on lymph node indicators.

Moderately differentiated gastric adenocarcinoma (MDGA) has a high risk of metastasis and individual variation, which strongly affects patient prognosis. Using large-scale datasets and machine learning algorithms for prediction can improve individualized treatment. The specific efficacy of several lymph node indicators in predicting distant metastasis (DM) and patient prognosis in MDGA remains obscure. We collected data from MDGA patients from the SEER database from 2010 to 2019. Additionally, we collected data from MDGA patients in China. We used nine machine learning algorithms to predict DM. Subsequently, we used Cox regression analysis to determine the risk factors affecting overall survival (OS) and cancer-specific survival (CSS) in DM patients and constructed nomograms. Furthermore, we used logistic regression and Cox regression analyses to assess the specific impact of six lymph node indicators on DM incidence and patient prognosis. We collected data from 5,377 MDGA patients from the SEER database and 109 MDGC patients from hospitals. T stage, N stage, tumor size, primary site, number of positive lymph nodes, and chemotherapy were identified as independent risk factors for DM. The random forest prediction model had the best overall predictive performance (AUC = 0.919). T stage, primary site, chemotherapy, and the number of regional lymph nodes were identified as prognostic factors for OS. Moreover, T stage, number of regional lymph nodes, primary site, and chemotherapy were also influential factors for CSS. The nomograms showed good predictive value and stability in predicting the 1-, 3-, and 5-year OS and CSS in DM patients. Additionally, the log odds of a metastatic lymph node and the number of negative lymph nodes may be risk factors for DM, while the regional lymph node ratio and the number of regional lymph nodes are prognostic factors for OS. The random forest prediction model accurately identified high-risk populations, and we established OS and CSS survival prediction models for MDGA patients with DM. Our hospital samples demonstrated different characteristics of lymph node indicators in terms of distant metastasis and prognosis.

Overall survival prediction of gastric cancer using the gene signature of CT-detected extramural venous invasion combined with M2 macrophages infiltration

BackgroundCT-detected Extramural venous invasion (EMVI) is known as an independent risk factor for distant metastasis in patients with advanced gastric cancer (GC). However, the molecular basis is not clear. In colorectal cancer, M2 macrophages plays a vital role in determining EMVI. This study aimed to investigate the relationship between CT-detected EMVI and the M2 macrophages as well as prognosis predictionusing a radiogenomic approach.MethodWe utilized EMVI-related genes (from mRNA sequencing of 13 GC samples correlated with EMVI score by spearman analysis, P < 0.01) to overlap the co-expression genes of WGCNA module and M2 macrophages related genes (from mRNA data of 371 GC patients in TCGA database), generating a total of 136 genes. An EMVI-M2-prognosis-related hub gene signature was constructed by COX and least absolute shrinkage and selection operator (LASSO) analysis from a training cohort TCGA database (n = 371) and validated it in a validation cohort from GEO database (n = 357). High- and low-risk groups were divided by hub gene (EGFLAM and GNG11) signature-derived risk scores. We assessed its predictive ability through Kaplan-Meier (K-M) curve and COX analysis. Furthermore, we utilized ESTIMATE to detect tumor mutation burden (TMB) and evaluate sensitivity to immune checkpoint inhibitors (ICIs). Expression of hub genes was tested using western blotting and immunohistochemistry (IHC) analysis.ResultsThe overall survival (OS) was significantly reduced in the high-risk group (Training/Validation: AUC = 0.701/0.620; P < 0.001/0.003). Furthermore, the risk score was identified as an independent predictor of OS in multivariate COX regression analyses (Training/Validation: HR = 1.909/1.928; 95% CI: 1.225–2.974/1.308–2.844). The low-risk group exhibited significantly higher TMB levels (P = 1.6e− 07) and greater sensitivity to ICIs. Significant higher expression of hub-genes was identified on multiple GC cell lines and original samples. Hub-genes knockdown in gastric cancer cell lines inhibited their proliferation, metastatic and invasive capacity to varying degrees. In vivo experiments indicate that EGFLAM, as one of the hub genes, its high expression can serve as a biomarker for low response to immunotherapy.ConclusionOur study demonstrated EMVI-M2 gene signature could effectively predict the prognosis of GC tissue, reflecting the relationship between EMVI and M2 macrophages.

A multimodal neural network with gradient blending improves predictions of survival and metastasis in sarcoma

The objective of this study is to develop a multimodal neural network (MMNN) model that analyzes clinical variables and MRI images of a soft tissue sarcoma (STS) patient, to predict overall survival and risk of distant metastases. We compare the performance of this MMNN to models based on clinical variables alone, radiomics models, and an unimodal neural network. We include patients aged 18 or older with biopsy-proven STS who underwent primary resection between January 1st, 2005, and December 31st, 2020 with complete outcome data and a pre-treatment MRI with both a T1 post-contrast sequence and a T2 fat-sat sequence available. A total of 9380 MRI slices containing sarcomas from 287 patients are available. Our MMNN accepts the entire 3D sarcoma volume from T1 and T2 MRIs and clinical variables. Gradient blending allows the clinical and image sub-networks to optimally converge without overfitting. Heat maps were generated to visualize the salient image features. Our MMNN outperformed all other models in predicting overall survival and the risk of distant metastases. The C-Index of our MMNN for overall survival is 0.77 and the C-Index for risk of distant metastases is 0.70. The provided heat maps demonstrate areas of sarcomas deemed most salient for predictions. Our multimodal neural network with gradient blending improves predictions of overall survival and risk of distant metastases in patients with soft tissue sarcoma. Future work enabling accurate subtype-specific predictions will likely utilize similar end-to-end multimodal neural network architecture and require prospective curation of high-quality data, the inclusion of genomic data, and the involvement of multiple centers through federated learning.

Clinical value of preoperative calcitonin for the prediction of distant metastases in patients with medullary thyroid carcinoma

Clinical value of preoperative calcitonin for the prediction of distant metastases in patients with medullary thyroid carcinoma

IASLC grading system predicts distant metastases for resected lung adenocarcinoma

AimsThe International Association for the Study of Lung Cancer (IASLC) has proposed a new histological grading system for invasive lung adenocarcinoma (LUAD). However, the efficacy of this grading system in...

Impact of EOB-MRI on the outcome of patients with pancreatic cancer in real-world settings.

88 Background: Contrast-enhanced computed tomography (CE-CT) is a commonly used imaging modality for the preoperative detection of local extension and distant metastasis in patients (pts) with pancreatic cancer (PaC). There have been cases where surgical treatment was deemed unsuitable due to unexpected distant metastases discovered during surgery, which had not been detected by CE-CT. While studies have reported gadoxetate disodium-enhanced MRI (EOB-MRI) improves the detection of liver metastases, it is not clear whether adding EOB-MRI to CE-CT provides clinical benefits, e.g. improved outcomes through the early access to appropriate treatments by avoiding unnecessary surgery (open-close surgery) in pts with PaC. This study aimed to assess the effectiveness of adding EOB-MRI before surgical or non-surgical treatment on overall survival (OS) in pts with PaC in real world settings. Methods: This was a retrospective cohort study using a nationwide hospital-claims database in Japan. Pts aged ≥18 years diagnosed with PaC with a record of surgery, radiotherapy, or chemotherapy, who had an imaging modality were identified between January 1, 2011 to October 31, 2021. Pts were grouped into EOB-MRI and no EOB-MRI groups, and further grouped into surgery, no surgery and open-close laparotomy. OS was compared between propensity-score matched EOB-MRI and no EOB-MRI groups using the Cox regression model. Results: 39,624 pts were included in the study, of them, 4,477 (11.3%) underwent EOB-MRI prior to the initial treatment. 2,061 (46.0%) pts in EOB-MRI group underwent surgery, 2,346 (52.4%) had no surgery and 70 (1.6%) had open-close laparotomy. In 35,147 (88.7%) pts in no EOB-MRI group, 13,182 (37.5%) underwent surgery, 21,506 (61.2%) had no surgery, and 459 (1.3%) had open-close laparotomy. The OS results in subgroups are shown in the Table. Conclusions: In real-world settings, EOB-MRI performed prior to the initial treatment was associated with significantly higher OS than those without EOB-MRI in pts who did not undergo surgery, but there was no difference in OS in pts who underwent surgery. These results suggest that the early detection of micro hepatic metastases through EOB-MRI and multidisciplinary treatment that enables EOB-MRI may contribute to improved outcomes in pts with PaC. Clinical trial information: NCT06106568 . [Table: see text]

ER-Targeted PET for Initial Staging and Suspected Recurrence in ER-Positive Breast Cancer

There are insufficient data comparing 16α-18F-fluoro-17β-estradiol (FES) positron emission tomography (PET) computed tomography (CT) with standard-of-care imaging (SOC) for staging locally advanced breast cancer (LABC) or evaluating suspected recurrence. To determine the detection rate of FES PET/CT and SOC for distant metastases in patients with estrogen receptor (ER)-positive LABC and recurrences in patients with ER-positive BC and suspected recurrence. This diagnostic study was conducted as a single-center phase 2 trial, from January 2021 to September 2023. The study design provided 80% power to find a 20% detection rate difference. Participants included patients with ER-positive LABC (cohort 1) or suspected recurrence (cohort 2). Data were analyzed from September 2023 to February 2024. Participants underwent both SOC imaging and experimental FES PET/CT. When there were suspicious lesions on imaging, 1 was biopsied for histopathological reference standard to confirm presence (true positive) or absence (false positive) of malignant neoplasm. The outcome of interest was the detection rate of FES PET CT vs SOC for distant metastases and recurrences. A total of 124 patients were accrued, with 62 in cohort 1 (median [IQR] age, 52 [32-84] years) and 62 in cohort 2 (median [IQR] age, 66 [30-93] years). In cohort 1, of 14 true-positive findings, SOC imaging detected 12 and FES detected 11 (P > .99). In cohort 2, of 23 true-positive findings, SOC detected 16 and FES detected 18 (P = .77). In 30 patients with lobular histology, of 11 true-positive findings, SOC detected 5 and FES detected 9 (P = .29). There were 6 false-positive findings on SOC and 1 false-positive finding on FES PET/CT (P = .13). In this diagnostic study with pathological findings as the reference standard, no difference was found between FES PET/CT and current SOC imaging for detecting distant metastases in patients with ER-positive LABC or recurrences in patients with ER-positive tumors and suspected recurrence. FES PET/CT could be considered for both clinical indications, which are not part of current Appropriate Use Criteria for FES PET. The findings regarding FES PET/CT in patients with lobular tumors, and for lower false positives than current SOC imaging, warrant further investigation.

Cancer histology in metastatic lymph node predicts prognosis in patients with node-positive stage IV colorectal cancer.

Appropriate prognostic indicators are required for patients with stage IV colorectal cancer (CRC). Lymph node metastasis mainly involves four histological types of CRC. Some metastatic lymph nodes (mLNs) showing cribriform carcinoma are associated with distant metastasis in patients with node-positive CRC and are correlated with recurrence and survival in stage III disease. However, the significance of mLN histology in the prognosis of patients with node-positive stage IV disease remains unclear. We enrolled 449 consecutive patients with CRC who underwent primary tumor resection with lymph node dissection between January 2011 and November 2018. This study included 88 patients with node-positive stage IV CRC and synchronous or metachronous distant metastases. We retrospectively investigated the association between cancer histology in the mLNs based on our classification and cancer-specific survival (CSS) in patients with node-positive stage IV CRC. Kaplan-Meier analysis showed that CSS was better in patients with CRC and all the mLNs showing tubular-type carcinoma. In contrast, patients with at least some mLNs showing poorly differentiated-type carcinoma had poor prognosis. Multivariate analysis showed that "all mLNs showing tubular-type carcinoma" was an independent good prognostic factor for CSS in patients with node-positive stage IV CRC. In addition, "at least some mLNs showing poorly differentiated-type carcinoma" was an independent poor prognostic factor for CSS in patients with node-positive stage IV disease. The histological type of the mLN may indicate a better or poor prognosis for patients with stage IV CRC.

Magnetic resonance imaging-based prognostic model for subsequent distant metastasis in patients with ipsilateral breast tumor recurrence following breast-conserving surgery.

Ipsilateral breast tumor recurrence (IBTR) following breast-conserving surgery (BCS) has been considered a risk factor for distant metastasis (DM). Limited data are available regarding the subsequent outcomes after IBTR. Therefore, this study aimed to determine the clinical course after IBTR and develop a magnetic resonance imaging (MRI)-based predictive model for subsequent DM. We retrospectively extracted quantitative features from MRI to construct a radiomics cohort, with all eligible patients undergoing preoperative MRI at time of primary tumor and IBTR between 2010 and 2018. Multivariate Cox analysis was performed to identify factors associated with DM. Three models were constructed using different sets of clinicopathological, qualitative, and quantitative MRI features and compared. Additionally, Kaplan-Meier analysis was performed to assess the prognostic value of the optimal model. Among the 183 patients who experienced IBTR, 47 who underwent MRI for both primary and recurrent tumors were enrolled. Multivariate analysis demonstrated that the independent prognostic factors were human epidermal growth factor receptor 2 (HER2) status [hazard ratio (HR) =5.40] and background parenchymal enhancement (BPE) (HR =7.94) (all P values <0.01). Furthermore, four quantitative MRI features of recurrent tumors were selected through the least absolute shrinkage and selection operator (LASSO) method. The combined model exhibited superior performance [concordance index (C-index) 0.77] compared to the clinicoradiological model (C-index 0.71; P=0.006) and radiomics model (C-index 0.70; and P=0.01). Furthermore, the combined model successfully categorized patients into low- and high-risk subgroups with distinct prognoses (P<0.001). The clinicopathological and MRI features of IBTR were associated with secondary events following surgery. Additionally, the MRI-based combined model exhibited the highest predictive efficacy. These findings could be helpful in risk stratification and tailoring follow-up strategies in patients with IBTR.

Clinical characteristics, survival analysis and influencing factors of distant metastasis in patients with acromelanomas: A retrospective study.

The prognosis of acromelanomas (AM) is worse. The objective of this study was to investigate the clinical features of distant metastasis of AM and the factors affecting the survival and prognosis of patients. In this study, a retrospective study was conducted to select 154 AM patients admitted to Nanjing Pukou People's Hospital from January 2018 to April 2021 for clinical research. The clinical characteristics of distant metastasis were statistically analyzed, and the survival curve was drawn with 5-year follow-up outcomes. The median survival time of the patients was calculated, and the clinicopathological features and peripheral blood laboratory indexes of the surviving and dead patients were analyzed. Logistic regression model was used to analyze the risk factors affecting the prognosis of AM patients. In this study, 154 patients with AM were treated, including 88 males and 76 females, aged from 27 to 79 years old, with an average age of (59.3 ± 11.7) years old. Among them, 90 cases had distant metastasis. The main metastatic sites were lung (47.78%) and lymph nodes (42.22%). Among them, single site metastasis accounted for 41.11% and multiple site metastasis 58.89%. 89 cases survived and 65 cases died. The survival time was 22 months to 60 months, and the median survival time was 48.0 months. The Breslow thickness, stage at diagnosis, distant metastasis, site of metastasis and ulceration were compared between the survival group and the death group (P < .05). serum lactate dehydrogenase (LDH), neutrophil-to-lymphocyte ratio (NLR) and lymphocyte monocyte ratio (LMR) were compared between the survival group and the death group (P < .05). The results of Logistic regression model showed that LDH ≥ 281 U/L, NLR ≥ 2.96, LMR ≤ 3.57, newly diagnosed stage > stage II, distant metastasis, multiple site metastasis and tumor ulcer were independent risk factors for poor prognosis of AM patients (P < .05). Patients with AM had a higher proportion of distant metastasis, mainly lung and lymph node metastasis. Increased LDH, increased NLR, decreased LMR, higher initial stage, distant metastasis, multiple site metastasis, and combined tumor ulcer were closely related to the poor prognosis of patients after surgery.