Peritumoral lymph nodes in pancreatic cancer revisited; is it truly equivalent to lymph node metastasis?

2021 ◽  
Author(s):  
Yoonhyeong Byun ◽  
Kyoung‐Bun Lee ◽  
Jin‐Young Jang ◽  
Youngmin Han ◽  
Yoo Jin Choi ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Node Metastasis

scholarly journals Dedicated Axillary MRI-Based Radiomics Analysis for the Prediction of Axillary Lymph Node Metastasis in Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 757
Author(s):  
Sanaz Samiei ◽  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey Primakov ◽  
Marc B. I. Lobbes ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Axillary Lymph Node ◽  
Axillary Lymph Node Metastasis ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Mr Images ◽  
Node Metastasis

Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study was to predict preoperative axillary lymph node metastasis in breast cancer using clinical models and radiomics models based on T2-weighted (T2W) dedicated axillary MRI features with node-by-node analysis. From August 2012 until October 2014, all women who had undergone dedicated axillary 3.0T T2W MRI, followed by axillary surgery, were retrospectively identified, and available clinical data were collected. All axillary lymph nodes were manually delineated on the T2W MR images, and quantitative radiomics features were extracted from the delineated regions. Data were partitioned patient-wise to train 100 models using different splits for the training and validation cohorts to account for multiple lymph nodes per patient and class imbalance. Features were selected in the training cohorts using recursive feature elimination with repeated 5-fold cross-validation, followed by the development of random forest models. The performance of the models was assessed using the area under the curve (AUC). A total of 75 women (median age, 61 years; interquartile range, 51–68 years) with 511 axillary lymph nodes were included. On final pathology, 36 (7%) of the lymph nodes had metastasis. A total of 105 original radiomics features were extracted from the T2W MR images. Each cohort split resulted in a different number of lymph nodes in the training cohorts and a different set of selected features. Performance of the 100 clinical and radiomics models showed a wide range of AUC values between 0.41–0.74 and 0.48–0.89 in the training cohorts, respectively, and between 0.30–0.98 and 0.37–0.99 in the validation cohorts, respectively. With these results, it was not possible to obtain a final prediction model. Clinical characteristics and dedicated axillary MRI-based radiomics with node-by-node analysis did not contribute to the prediction of axillary lymph node metastasis in breast cancer based on data where variations in acquisition and reconstruction parameters were not addressed.

The prognostic significance of lymph node metastasis and intrapancreatic perineural invasion in pancreatic cancer after curative resection

Surgery Today ◽  
1999 ◽  
Vol 29 (1) ◽  
pp. 16-22 ◽  
Author(s):  
Hideo Ozaki ◽  
Takehisa Hiraoka ◽  
Ryuji Mizumoto ◽  
Seiki Matsuno ◽  
Yoshiro Matsumoto ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Curative Resection ◽  
Perineural Invasion ◽  
Prognostic Significance ◽  
Node Metastasis

scholarly journals Development and Validation a Nomogram for Predicting the Third Station Lymph Node Metastasis in Early Gastric Cancer

2021 ◽  
Author(s):  
Xiaoxiao Wang ◽  
Cong Li ◽  
Mengjie Fang ◽  
Liwen Zhang ◽  
Lianzhen Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Validation Cohort ◽  
Predictive Accuracy ◽  
Clinical Risk Factors ◽  
Node Metastasis ◽  
Clinical Risk

Abstract Background:This study aimed to evaluate the value of radiomic nomogram in predicting lymph node metastasis in T1-2 gastric cancer according to the No. 3 station lymph nodes.Methods:A total of 159 T1-2 gastric cancer (GC) patients who had undergone surgery with lymphadenectomy between March 2012 and November 2017 were retrospectively collected and divided into a primary cohort (n = 80) and a validation cohort (n = 79). Radiomic features were extracted from both tumor region and No. 3 station lymph nodes (LN) based on computed tomography (CT) images per patient. Then, key features were selected using minimum redundancy maximum relevance algorithm and fed into two radiomic signatures, respectively. Meanwhile, the predictive performance of clinical risk factors was studied. Finally, a nomogram was built by merging radiomic signatures and clinical risk factors and evaluated by the area under the receiver operator characteristic curve (AUC) as well as decision curve.Results: Two radiomic signatures, reflecting phenotypes of the tumor and LN respectively, were significantly associated with LN metastasis. A nomogram incorporating two radiomic signatures and CT-reported LN metastasis status showed good discrimination of LN metastasis in both the primary cohort (AUC: 0.915; 95% confidence interval [CI]: 0.832-0.998) and validation cohort (AUC: 0.908; 95%CI: 0.814-1.000). The decision curve also indicated its potential clinical usefulness.Conclusions:The nomogram received favorable predictive accuracy in predicting No.3 station LN metastasis in T1-2 GC, and could assist the choice of therapy.

scholarly journals Genomic Heterogeneity and Clonal Evolution in Gastroesophageal Junction Cancer Revealed by Single Cell DNA Sequencing

2021 ◽  
Vol 11 ◽  
Author(s):  
Qingke Duan ◽  
Chao Tang ◽  
Zhao Ma ◽  
Chuangui Chen ◽  
Xiaobin Shang ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Dna Sequencing ◽  
Single Cell ◽  
Single Cells ◽  
Clonal Evolution ◽  
Gastroesophageal Junction ◽  
Common Mutation ◽  
Node Metastasis

Gastroesophageal junction (GEJ) cancer is a tumor that occurs at the junction of stomach and esophagus anatomically. GEJ cancer frequently metastasizes to lymph nodes, however the heterogeneity and clonal evolution process are unclear. This study is the first of this kind to use single cell DNA sequencing to determine genomic variations and clonal evolution related to lymph node metastasis. Multiple Annealing and Looping Based Amplification Cycles (MALBAC) and bulk exome sequencing were performed to detect single cell copy number variations (CNVs) and single nucleotide variations (SNVs) respectively. Four GEJ cancer patients were enrolled with two (Pt.3, Pt.4) having metastatic lymph nodes. The most common mutation we found happened in the TTN gene, which was reported to be related with the tumor mutation burden in cancers. Significant intra-patient heterogeneity in SNVs and CNVs were found. We identified the SNV subclonal architecture in each tumor. To study the heterogeneity of CNVs, the single cells were sequenced. The number of subclones in the primary tumor was larger than that in lymph nodes, indicating the heterogeneity of primary site was higher. We observed two patterns of multi-station lymph node metastasis: one was skip metastasis and the other was to follow the lymphatic drainage. Taken together, our single cell genomic analysis has revealed the heterogeneity and clonal evolution in GEJ cancer.

scholarly journals THE INDICATION OF LATERAL LYMPH NODES DISSECTION FOR CANCER OF THE LOWER PART OF THE RECTUM IN TERMS OF LYMPH NODE METASTASIS

1995 ◽  
Vol 56 (11) ◽  
pp. 2301-2305
Author(s):  
Minoru TANADA ◽  
Toshiaki SAEKI ◽  
Wataru TAKIYAMA ◽  
Akira KURITA ◽  
Nobuji YOKOYAMA ◽  
...  
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Node Metastasis ◽  
Lymph Nodes Dissection

CA19-9 level determines therapeutic modality in pancreatic cancer patients with para-aortic lymph node metastasis

2018 ◽  
Vol 17 (1) ◽  
pp. 75-80
Author(s):  
Tadafumi Asaoka ◽  
Atsushi Miyamoto ◽  
Sakae Maeda ◽  
Naoki Hama ◽  
Masanori Tsujie ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Cancer Patients ◽  
Therapeutic Modality ◽  
Node Metastasis ◽  
Aortic Lymph Node

The effect of miRNAs and MALAT1 related with the prognosis of Her-2 positive breast cancer patients with lymph node metastasis

2020 ◽  
Author(s):  
Zhao Hongcan ◽  
Yang Hongjian ◽  
Zhang Xiping
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
High Expression ◽  
Expression Level ◽  
Lymph Nodes Metastasis ◽  
Node Metastasis ◽  
Her 2 ◽  
Proliferation And Invasion ◽  
Low Expression

Abstract Background: To analyze and screen the miRNAs associated with lymph node metastasis of breast cancer (BC), and to explore the roles of these miRNAs in the proliferation, invasion and prognosis of BC. Methods: MicroRNAs associated with lymph node metastasis in Her-2 positive BC was screened by TCGA database. The qRT-PCR was used to verify theses 5 miRNAs in 30 cases of Her-2 positive BC with lymph node metastasis of different degree. The tumor tissue samples were divided into non-lymph node metastasis group, ≤ 3 lymph node metastasis group and > 3 lymph node metastasis group. In addition, 10 cases of paracancerous tissues were considered as paracancerous control group. Pearson correlation analysis was used to analysis the relationship of 5 miRNAs and MALAT1 with Her-2 positive BC patients' clinicopathological characteristics and prognosis. CCK8 and Transwell experiments were used to detect the effects of miR-143 and miR-455 on the proliferation and invasion of Her-2 positive BC cells (MDA-MB-453). Results: Five kinds of miRNA (miR-143, miR-196a, miR-455, miR-9 and miR-92a) related with Her-2 positive BC with lymph node metastasis were screened by TCGA database. The detecting results of qRT-PCR showed that the levels of miR-143, miR-196a, miR-9 and MALAT1 increased with the increased number of lymph nodes. The expression level of miR-143 in the group of ≤ 3 lymph nodes metastasis and > 3 lymph nodes metastasis was significantly higher than that in the group of non-lymph nodes metastasis (P<0.001), and that in the group of > 3 lymph nodes metastasis was significantly higher than that in the group of ≤ 3 lymph nodes metastasis (P<0.001). The expression level of miR-196a in the group of ≤ 3 lymph nodes metastasis and > 3 lymph nodes metastasis was significantly higher than that in the group of non-lymph nodes metastasis (P<0.001), and that in the group of > 3 lymph nodes metastasis was significantly higher than that in the group of ≤ 3 lymph nodes metastasis (P<0.001). The expression level of miR-455 in the group of ≤ 3 lymph nodes metastasis and > 3 lymph nodes metastasis was significantly lower than that in the group of non-lymph nodes metastasis (P<0.001), and that in the group of > 3 lymph nodes metastasis was significantly lower than that in the group of ≤ 3 lymph nodes metastasis (P<0.001). The expression level of MALAT1 in the group of ≤ 3 lymph nodes metastasis and > 3 lymph nodes metastasis was significantly higher than that in the group of non-lymph nodes metastasis (P<0.001), and that in the group of > 3 lymph nodes metastasis was significantly higher than that in the group of ≤ 3 lymph nodes metastasis (P<0.01). Pearson correlation analysis showed that the expression levels of miR-455-5p, miR-196a-5p and MALAT1 were negatively correlated, positively correlated and positively correlated with the pathological stages of Her-2 positive BC, respectively. The results of survival analysis showed that RFS of patients with high expression of miR-196a, miR-92a and MALAT1 was significantly lower than that of patients with low expression (P<0.05), and OS and RFS of patients with high expression of miR-9 were significantly lower than those of patients with low expression, while OS and RFS of patients with high expression of miR-455 were significantly higher than those of patients with low expression (P<0.05). Cytological experiments showed that up regulation of miR-455 significantly inhibited the proliferation and invasion of BC cells, while down regulation of miR-143 significantly inhibited the proliferation and invasion of BC cells and the expression of MALAT1 (P<0.05). Conclusion: High expression of miR-143, miR-9, miR-196a, MALAT1 and low expression of miR-455 are related to the degree of lymph node metastasis of Her-2-positive BC patients, indicating poor prognosis. Down-regulation of miR-455 and up-regulation of miR-143 and MALAT1 can promote the cell proliferation and invasion of Her-2-positive BC.

RA04.05: PREVALENCE OF LYMPH-NODE METASTASIS IN T1B ESOPHAGEAL SQUAMOUS CELL CANCER: IMPLICATIONS FOR ADDITIONAL RADIOTHERAPY DESIGN FOLLOWING ENDOSCOPIC SUBMUCOSAL DISSECTION

2018 ◽  
Vol 31 (Supplement_1) ◽  
pp. 26-26
Author(s):  
Jun Liu ◽  
Xiaolong Fu ◽  
Hongxuan Li ◽  
Yan Cheng ◽  
Zhigang Li
Keyword(s):  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Endoscopic Submucosal Dissection ◽  
Squamous Cell ◽  
Clinical Target Volume ◽  
Target Volume ◽  
Lymph Nodes Metastasis ◽  
Node Metastasis ◽  
Submucosal Dissection

Abstract Background Endoscopic submucosal dissection (ESD) can be used as a less invasive treatment option for early esophageal cancer. But how to prevent lymph node metastasis is essential in these patients. This study aimed to analyze prevalence of lymph nodes metastasis for T1b thoracic esophageal squamous cell carcinoma(TESCC) patients treated in Shanghai Chest Hospital(SCH) and to propose a clinical target volume (CTV) for additional radiotherapy Clinical Target Volume design following endoscopic submucosal dissection(ESD) in these patients. Methods From 2012 to 2017, consecutive patients with T1b TESCC patients who underwent complete resection in SCH were identified. The prevalence of lymph-node metastasis were assessed and evaluated whether these metastasis areas would be encompassed by our proposed CTV. We proposed lymph-node stations (JEOG) 101, 104, 105, 106, 107 for upper TESCC, lymph-node stations 106, 107, 108, 1, 2, 3, 7, 8, 9, 10 for middle TESCC, and lymph-node stations110, 112, 1, 2, 3, 7, 8, 9, 10 for lower TESCC. Results There were 240 patients (80.4% male) who met the inclusion criteria, with a mean age of 62 ± 7 years. Of the total, 27.1%(65/240) patients presented with lymph nodes metastasis. Single lymph-node and single station lymph-node metastasis among positive nodes patients were 63.1%(41/65) and 70.8%(46/65), respectively.Tumor length exceeding 20mm and poor tumor differentiation but not age, gender, tumor position and tumor thrombus were independently associated with the risk of nodal disease. Among positive nodes patients, 89.2% (58/65) lymph-node metastasis for T1b TESCC patients could be covered by proposed CTV. Conclusion Prevalence of lymph node metastasis is high in patients with T1b TESCC. It seemed additional radiotherapy after ESD for those patients with high risk factors is needed to prevent lymph node metastasis. Majority positive nodes area could be covered by our proposed CTV. However, the value of radiotherapy and the proposed CTV should be investigated in further prospective studies. Disclosure All authors have declared no conflicts of interest.

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