Evidence map›Paper›PMID 35698259›Full record

ReviewThoracic cancer2022

Predicting the efficacy of first-line immunotherapy by combining cancer cachexia and tumor burden in advanced non-small cell lung cancer.

Taichi Miyawaki, Tateaki Naito, Kosei Doshita, Hiroaki Kodama, Mikiko Mori, Naoya Nishioka, Yuko Iida, Eriko Miyawaki, Nobuaki Mamesaya, Haruki Kobayashi and 11 more

Open access · goldAbstract readReview
In one paragraph

Review in Thoracic cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Weight change and impact on prognosis in patients with advanced non-small cell lung cancer with concomitant diabetes mellitus treated with sglt2 inhibitors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Body composition alterations in patients with lung cancer.American journal of physiology. Cell physiology · 2025
    Review
  7. Article
  8. Review
  9. Article
  10. [Advancements in Radiomics for Immunotherapy of Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 2 institutions in 1 country.

Taichi MiyawakiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Tateaki NaitoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0003-4047-2929
Kosei DoshitaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.ORCID 0000-0002-0475-573X
Hiroaki KodamaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Mikiko MoriDepartment of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Naoya NishiokaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Yuko IidaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Eriko MiyawakiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Nobuaki MamesayaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Haruki KobayashiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Shota OmoriDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Ryo KoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Kazushige WakudaDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Akira OnoDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Hirotsugu KenmotsuDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Haruyasu MurakamiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Keita MoriClinical Research Center, Shizuoka Cancer Center, Shizuoka, Japan.
Hideyuki HaradaRadiation and Proton Therapy Center, Shizuoka Cancer Center, Shizuoka, Japan.
Masahiro EndoDivision of Diagnostic Radiology, Shizuoka Cancer Centre, Shizuoka, Japan.
Kazuhisa TakahashiDepartment of Respiratory Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Toshiaki TakahashiDivision of Thoracic Oncology, Shizuoka Cancer Center, Shizuoka, Japan.
Shizuoka Cancer Center · JPJuntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer 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.

methodsIn the present retrospective study, we reviewed the medical records of patients with advanced NSCLC who received cancer immunotherapy as first-line systemic therapy. Clinical immune predictive scores were defined according to multivariate analysis of progression-free survival (PFS) and overall survival (OS).

resultsA total of 157 patients were included in the present study (75 treated with PD-1/PD-L1 inhibitors + chemotherapy; 82, pembrolizumab monotherapy). Multivariate analysis for PFS revealed that PD-L1 tumor proportion scores <50%, a total target lesion diameter ≥76 mm, and cancer cachexia were independently associated with poor PFS. Multivariate analysis for OS revealed that ≥4 metastases and cancer cachexia were significantly associated with poor OS. In the immune predictive model, the median PFS was 21.7 months in the low-risk group (N = 41); 7.6 in the medium-risk group (N = 64); and 3.0 in the high-risk group (N = 47). The median OS were not reached, 22.4 and 9.1 months respectively. Our immune predictive model was significantly associated with PFS (p < 0.001) and OS (p < 0.001).

conclusionWe proposed the immune predictive model, including tumor burden and cancer cachexia, which may predict the efficacy and survival outcome of first-line immunotherapy in advanced NSCLC.

Indexed as

Antineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenCachexiaHumansImmunotherapyProgrammed Cell Death 1 ReceptorRetrospective StudiesTumor BurdenAntineoplastic Agents, ImmunologicalB7-H1 AntigenProgrammed Cell Death 1 Receptorcancer cachexiaimmune checkpoint inhbitornon-small cell lung cancerpredictive modeltumor burden

Identifiers

PMID35698259
PMCPMC9284192
OpenAlexW4282821815

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.