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Who would be the winner? A prognostic nomogram for predicting the benefit of postoperative radiotherapy ± chemotherapy in patients with locally advanced gastric cancer: TROD-02-01 study.
Sert, Fatma; Bilkay Gorken, Ilknur; Ozkok, Serdar; Colpan Oksuz, Didem; Yucel, Birsen; Kaytan Saglam, Esra; Aksu, Gamze; Cetin, Eren; Aktan, Meryem; Canyilmaz, Emine; Ozbek Okumus, Nilgün; Yildirim, Berna; Akyurek, Serap; Serin, Meltem; Kurt, Meral; Arican Alicikus, Zumre; Erdis, Eda; Yalman, Deniz.
Afiliação
  • Sert F; Ege University, Faculty of Medicine, Department of Radiation Oncology, Izmir, Turkey. Electronic address: fatma.sert@ege.edu.tr.
  • Bilkay Gorken I; Dokuz Eylul University, Faculty of Medicine, Department of Radiation Oncology, Izmir, Turkey.
  • Ozkok S; Ege University, Faculty of Medicine, Department of Radiation Oncology, Izmir, Turkey.
  • Colpan Oksuz D; Istanbul University-Cerrahpasa, Cerrahpasa Faculty of Medicine, Department of Radiation Oncology, Istanbul, Turkey.
  • Yucel B; Sivas Cumhuriyet University, Faculty of Medicine, Department of Radiation Oncology, Sivas, Turkey.
  • Kaytan Saglam E; Biruni University, Department of Radiation Oncology, Istanbul, Turkey.
  • Aksu G; Akdeniz University, Faculty of Medicine, Department of Radiation Oncology, Antalya, Turkey.
  • Cetin E; Gazi University, Faculty of Medicine, Department of Radiation Oncology, Ankara, Turkey.
  • Aktan M; Necmettin Erbakan University, Faculty of Medicine, Department of Radiation Oncology, Konya, Turkey.
  • Canyilmaz E; Karadeniz Technical University, Faculty of Medicine, Department of Radiation Oncology, Trabzon, Turkey.
  • Ozbek Okumus N; On Dokuz Mayis University, Faculty of Medicine, Department of Radiation Oncology, Samsun, Turkey.
  • Yildirim B; University of Health Sciences, Prof Dr Cemil Tascioglu City Hospital, Department of Radiation Oncology, Istanbul, Turkey.
  • Akyurek S; Ankara University, Faculty of Medicine, Department of Radiation Oncology, Ankara, Turkey.
  • Serin M; Acibadem Mehmet Ali Aydinlar University, Adana Hospital, Department of Radiation Oncology, Adana, Turkey.
  • Kurt M; Bursa Uludag University, Faculty of Medicine, Department of Radiation Oncology, Bursa, Turkey.
  • Arican Alicikus Z; Dokuz Eylul University, Faculty of Medicine, Department of Radiation Oncology, Izmir, Turkey.
  • Erdis E; Sivas Cumhuriyet University, Faculty of Medicine, Department of Radiation Oncology, Sivas, Turkey.
  • Yalman D; Ege University, Faculty of Medicine, Department of Radiation Oncology, Izmir, Turkey.
Asian J Surg ; 47(7): 3056-3062, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38443256
ABSTRACT

OBJECTIVES:

We aimed to develop a basic, easily applicable nomogram to improve the survival prediction of the patients with stage II/III gastric cancer (GC) and to select the best candidate for postoperative radiotherapy (RT).

METHODS:

In this multicentric trial, we retrospectively evaluated the data of 1597 patients with stage II/III GC after curative gastrectomy followed by postoperative RT ± chemotherapy (CT). Patients were divided into a training set (n = 1307) and an external validation set (n = 290). Nomograms were created based on independent predictors identified by Cox regression analysis in the training set. The consistency index (C-index) and the calibration curve were used to evaluate the discriminative ability and accuracy of the nomogram. A nomogram was created based on the predictive model and the identified prognostic factors to predict 5-year cancer-specific survival (CSS) and progression-free survival (PFS).

RESULTS:

The multivariate Cox model recognized lymph node (LN) involvement status, lymphatic dissection (LD) width, and metastatic LN ratio as covariates associated with CSS. Depth of invasion, LN involvement status, LD width, metastatic LN ratio, and lymphovascular invasion were the factors associated with PFS. Calibration of the nomogram predicted both CSS and PFS corresponding closely with the actual results. In our validation set, discrimination was good (C-index, 0.76), and the predicted survival was within a 10% margin of ideal nomogram.

CONCLUSIONS:

In our relatively large cohort, we created and validated both CSS and PFS nomograms that could be useful for underdeveloped or developing countries rather than Korea and Japan, where the D2 gastrectomy is routinely performed. This could serve as a true map for oncologists who must make decisions without an experienced surgeon and a multidisciplinary tumor board.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Nomogramas / Gastrectomia / Estadiamento de Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Nomogramas / Gastrectomia / Estadiamento de Neoplasias Idioma: En Ano de publicação: 2024 Tipo de documento: Article