Predicting the efficacy of first‐line immunotherapy by combining cancer cachexia and tumor burden in...
Predicting the efficacy of first‐line immunotherapy by combining cancer cachexia and tumor burden in advanced non‐small cell lung cancer
About this item
Full title
Author / Creator
Miyawaki, Taichi , Naito, Tateaki , Doshita, Kosei , Kodama, Hiroaki , Mori, Mikiko , Nishioka, Naoya , Iida, Yuko , Miyawaki, Eriko , Mamesaya, Nobuaki , Kobayashi, Haruki , Omori, Shota , Ko, Ryo , Wakuda, Kazushige , Ono, Akira , Kenmotsu, Hirotsugu , Murakami, Haruyasu , Mori, Keita , Harada, Hideyuki , Endo, Masahiro , Takahashi, Kazuhisa and Takahashi, Toshiaki
Publisher
Melbourne: John Wiley & Sons Australia, Ltd
Journal title
Language
English
Formats
Publication information
Publisher
Melbourne: John Wiley & Sons Australia, Ltd
Subjects
More information
Scope and Contents
Contents
Background
Cancer cachexia and tumor burden predict efficacies of programmed cell death‐1 (PD‐1)/programmed death‐ligand 1 (PD‐L1) inhibitors and chemotherapy or pembrolizumab in non‐small cell lung cancer (NSCLC). There are no predictive models that simultaneously assess cancer cachexia and tumor burden.
Methods
In the present retrospecti...
Alternative Titles
Full title
Predicting the efficacy of first‐line immunotherapy by combining cancer cachexia and tumor burden in advanced non‐small cell lung cancer
Authors, Artists and Contributors
Author / Creator
Naito, Tateaki
Doshita, Kosei
Kodama, Hiroaki
Mori, Mikiko
Nishioka, Naoya
Iida, Yuko
Miyawaki, Eriko
Mamesaya, Nobuaki
Kobayashi, Haruki
Omori, Shota
Ko, Ryo
Wakuda, Kazushige
Ono, Akira
Kenmotsu, Hirotsugu
Murakami, Haruyasu
Mori, Keita
Harada, Hideyuki
Endo, Masahiro
Takahashi, Kazuhisa
Takahashi, Toshiaki
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_055f322f354a4bb88572f00b0542def1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_055f322f354a4bb88572f00b0542def1
Other Identifiers
ISSN
1759-7706
E-ISSN
1759-7714
DOI
10.1111/1759-7714.14529
