Pathological Nodal Staging Score for Gastric Signet Ring Cell Carcinoma : A Clinical Tool of Adequate Nodal Staging
Background: Gastric signet ring cell carcinoma (GSRCC) is a subset of gastric cancer with distinct histological and inconsistent prognosis outcome. Currently, the association between the adequate regional lymph node and proper nodal staging in GSRCC is rarely noticed. Materials and methods: Clinical data of GSRCC were retrieved from the Surveillance, Epidemiology, and End Results database. Beta-binomial distribution model was employed for the estimation of the probability of missing nodal disease, followed by the development of a nodal staging score (NSS). Results: A total of 561 GSRCC patients were included in this study, with 193 in lymph node-negative and 368 in lymph node-positive diagnoses. As the number of examined lymph nodes increased, the probability of missing nodal disease decreased rapidly, with T stage-specific curves. The probability of missing nodal disease in T4 was lower than that in T1. NSS calculation indicated that T1 stage patients commonly had NSS > 0.8. However, with the NSS of T2−T4 to reach 0.8, the number of examined lymph node was required to be larger than 12 in T2, 17 in T3 and 27 in T4. NSS ≥ 0.75 (quantile 75%) subgroup in T2−T4 subgroups tended to have better outcome; however, without significant prognostic value. Conclusions: NSS is served as a reliable and feasible tool in adequate nodal staging of GSRCC with statistical basis and provides further evidence for clinical decision making.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12 |
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| Enthalten in: |
Diagnostics (Basel, Switzerland) - 12(2022), 10 vom: 22. Sept. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yu, Chaoran [VerfasserIn] |
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| Links: |
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| Themen: |
Beta-bimonial distribution |
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| Anmerkungen: |
Date Revised 08.03.2023 published: Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.3390/diagnostics12102289 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM348063830 |
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| 100 | 1 | |a Yu, Chaoran |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Pathological Nodal Staging Score for Gastric Signet Ring Cell Carcinoma |b A Clinical Tool of Adequate Nodal Staging |
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| 500 | |a Date Revised 08.03.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Background: Gastric signet ring cell carcinoma (GSRCC) is a subset of gastric cancer with distinct histological and inconsistent prognosis outcome. Currently, the association between the adequate regional lymph node and proper nodal staging in GSRCC is rarely noticed. Materials and methods: Clinical data of GSRCC were retrieved from the Surveillance, Epidemiology, and End Results database. Beta-binomial distribution model was employed for the estimation of the probability of missing nodal disease, followed by the development of a nodal staging score (NSS). Results: A total of 561 GSRCC patients were included in this study, with 193 in lymph node-negative and 368 in lymph node-positive diagnoses. As the number of examined lymph nodes increased, the probability of missing nodal disease decreased rapidly, with T stage-specific curves. The probability of missing nodal disease in T4 was lower than that in T1. NSS calculation indicated that T1 stage patients commonly had NSS > 0.8. However, with the NSS of T2−T4 to reach 0.8, the number of examined lymph node was required to be larger than 12 in T2, 17 in T3 and 27 in T4. NSS ≥ 0.75 (quantile 75%) subgroup in T2−T4 subgroups tended to have better outcome; however, without significant prognostic value. Conclusions: NSS is served as a reliable and feasible tool in adequate nodal staging of GSRCC with statistical basis and provides further evidence for clinical decision making | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a beta-bimonial distribution | |
| 650 | 4 | |a gastric signet ring cell carcinoma | |
| 650 | 4 | |a nodal staging score | |
| 650 | 4 | |a prognostic analysis | |
| 700 | 1 | |a Zhou, Zhiyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Bin |e verfasserin |4 aut | |
| 700 | 1 | |a Yao, Danhua |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Yuhua |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Pengfei |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Yousheng |e verfasserin |4 aut | |
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