Prognostic factors for survival in patients with metastatic malign melanoma treated with ipilimumab: Turkish Oncology Group study.


Journal

Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
ISSN: 1477-092X
Titre abrégé: J Oncol Pharm Pract
Pays: England
ID NLM: 9511372

Informations de publication

Date de publication:
Oct 2019
Historique:
pubmed: 8 11 2018
medline: 18 12 2019
entrez: 8 11 2018
Statut: ppublish

Résumé

Studies in the last decade show survival improvement with checkpoint blocker therapy in patients with metastatic malign melanoma. Our purpose was to define the efficacy of ipilimumab according to the patient's baseline characteristics including absolute lymphocytes count. We collected the data of 97 patients with advanced malign melanoma treated with ipilimumab (3 mg/kg, q3w) retrospectively. Log-rank test was used to analyze the univariate effects of patient's characteristics (age, gender, metastatic sites, ECOG PS, type of melanoma, lactic dehydrogenase levels, anemia, lymphocytes (L), neutrophils (N), N/L ratio), c-kit and BRAF status. Survival analyses were estimated with Kaplan-Meier method. Cox regression analysis was used to assess the possible factors identified with log-rank test. The median age was 58, and 58% were male and 90% of patients had at least one prior systemic therapy. The median survival was 9.7 months for all patients; and the 12- and 24-month survival rates were 43% and 19%, respectively. Absolute lymphocytes count, lactic dehydrogenase level, bone metastasis, the number of metastatic sites, and RECIST response were significantly related to survival. After Cox regression analysis, RECIST response (complete or partial response), absolute lymphocytes count (more than 1500/mm Ipilimumab improved survival of patients with metastatic malign melanoma. However, patients with fewer metastatic sites and higher absolute lymphocytes count have a significantly better benefit. To determine if these markers could be used to direct patient therapy, further validation analysis is needed.

Identifiants

pubmed: 30400750
doi: 10.1177/1078155218805539
doi:

Substances chimiques

Antineoplastic Agents, Immunological 0
Ipilimumab 0

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1658-1664

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Auteurs

Yuksel Urun (Y)

1 Medical Oncology, Ankara University School of Medicine, Ankara, Turkey.

H Arzu Yasar (HA)

1 Medical Oncology, Ankara University School of Medicine, Ankara, Turkey.

Hande Turna (H)

2 Medical Oncology, İstanbul University, Cerrahpasa Medical Faculty, İstanbul, Turkey.

Ece Esin (E)

3 Medical Oncology, Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital, Ankara, Turkey.

A Murat Sedef (AM)

4 Medical Oncology, Baskent University Adana Hospital, Adana, Turkey.

Ali Alkan (A)

5 Medical Oncology, Osmaniye State Hospital, Osmaniye, Turkey.

Berna Oksuzoglu (B)

3 Medical Oncology, Dr. Abdurrahman Yurtaslan Oncology Training and Research Hospital, Ankara, Turkey.

Nuriye Ozdemir (N)

6 Medical Oncology, Ankara Numune Education and Research Hospital, Ankara, Turkey.

Ma Nahit Sendur (MN)

7 Faculty of Medicine, Medical Oncology, Yıldırım Beyazıt University, Ankara Atatürk Education and Research Hospital, Ankara, Turkey.

Ahmet Sezer (A)

4 Medical Oncology, Baskent University Adana Hospital, Adana, Turkey.

Saadettin Kılıckap (S)

8 Faculty of Medicine, Medical Oncology, Hacettepe University, Ankara, Turkey.

Gungor Utkan (G)

1 Medical Oncology, Ankara University School of Medicine, Ankara, Turkey.

Tulay Akman (T)

9 Medical Oncology Clinic, Kent Hospital, İzmir, Turkey.

Hakan Akbulut (H)

1 Medical Oncology, Ankara University School of Medicine, Ankara, Turkey.

Ismail Celik (I)

8 Faculty of Medicine, Medical Oncology, Hacettepe University, Ankara, Turkey.

Huseyin Abalı (H)

10 Medical Oncology, Acıbadem Mehmet Ali Aydınlar University School of Medicine, Istanbul, Turkey.

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Classifications MeSH