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Hematologic Malignancies Influence the Accuracy of Prediction of Survival in Patients With Solid Tumor Spinal Metastases Undergoing Surgery.
Chanplakorn, Pongsthorn; Budsayavilaimas, Chanthong; Jaipanya, Pilan; Pichyangkul, Picharn; Siriyotha, Sukanya; Lertudomphonwanit, Thamrong.
Afiliación
  • Chanplakorn P; Department of Orthopaedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Budsayavilaimas C; Orthopedic Unit, Banphaeo General Hospital, Samutsakhon, Thailand.
  • Jaipanya P; Chakri Naruebodindra Medical Institute, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Samut Prakan, Thailand.
  • Pichyangkul P; Chakri Naruebodindra Medical Institute, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Samut Prakan, Thailand.
  • Siriyotha S; Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
  • Lertudomphonwanit T; Department of Orthopaedics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
JCO Glob Oncol ; 10: e2300419, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38991185
ABSTRACT

PURPOSE:

There is no consensus on how to identify patients with multiple-level spinal metastases who would benefit from surgery. Previous studies have revealed that patients with hematologic malignancies have a significantly longer median survival time than those with solid tumor spinal metastases. We aimed to compare predictors and survival data between patients with spinal metastases, including hematologic malignancies (all-malignancies group), with only those with nonhematologic malignancies (nonhematologic malignancies group). MATERIALS AND

METHODS:

This single-center retrospective study included all patients age >18 years who underwent surgery to treat spinal metastases in our department from 2008 to 2018. The patients' baseline characteristics, treatment modalities, and laboratory results were analyzed. Survival was calculated from the date of surgery to the date of confirmed death. Cox regression analysis was used to identify independent predictors of survival.

RESULTS:

The study cohort comprised 186 patients with a mean age of 57.1 ± 13.4 years, 101 of whom were male and 18 of whom had hematologic malignancies. The median survival time was 201 days in the all-malignancies group and 168 days in the nonhematologic malignancies group. Independent predictors of survival differed between the two groups. Eastern Cooperative Oncology Group status and response to preoperative chemotherapy were identified as independent factors in both groups. However, radiosensitivity and CNS metastases were identified only in the all-malignancies group, and tumor growth potential, albumin status, and number of vertebrae were identified only in the nonhematologic malignancies group. The receiver operating characteristics were comparable in the two groups 0.75 in the all-malignancies group and 0.77 in the nonhematologic malignancies group.

CONCLUSION:

Longer survival in patients with hematologic malignancies influences the overall prediction of survival. Tumor-specific prognostic factors may improve the prediction of survival in patients with spinal metastases.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Columna Vertebral / Neoplasias Hematológicas Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JCO Glob Oncol Año: 2024 Tipo del documento: Article País de afiliación: Tailandia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Columna Vertebral / Neoplasias Hematológicas Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: JCO Glob Oncol Año: 2024 Tipo del documento: Article País de afiliación: Tailandia