Evidence map›Paper›PMID 35070755›Full record

ArticleTranslational lung cancer research2021

Correlations between peripheral blood biomarkers and clinical outcomes in advanced non-small cell lung cancer patients who received immunotherapy-based treatments.

Yuequan Shi, Xiaoyan Liu, Jia Liu, Dongming Zhang, Xiangning Liu, Yuan Yue, Qing Zhou, Xiaoxing Gao, Minjiang Chen, Yan Xu and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 7 pooled it
2.1field-weighted citation impact, top 10% 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

34 citing papers in PubMed, 7 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Observational
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

18 authors at 6 institutions in 5 countries.

Yuequan ShiDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaoyan LiuDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jia LiuDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Dongming ZhangDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiangning LiuDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuan YueDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Qing ZhouDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Xiaoxing GaoDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Minjiang ChenDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yan XuDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Jing ZhaoDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wei ZhongDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Mariano ProvencioMedical Oncology Department, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain.
Jacek JassemDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Gdańsk, Poland.
Terence M WilliamsDepartment of Radiation Oncology, City of Hope National Medical Center, Duarte, CA, USA.
Andreas SeeberDepartment of Internal Medicine V (Hematology and Oncology), Comprehensive Cancer Center Innsbruck, Medical University of Innsbruck, Innsbruck, Austria.
Florian KocherDepartment of Internal Medicine V (Hematology and Oncology), Comprehensive Cancer Center Innsbruck, Medical University of Innsbruck, Innsbruck, Austria.
Mengzhao WangDepartment of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CNUniversität Innsbruck · ATCity Of Hope National Medical Center · USGdańsk Medical University · PLHospital Universitario Puerta de Hierro Majadahonda · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPeripheral blood-based biomarkers (PBB) predicting response, survival and immune-related adverse events (irAEs) in patients with advanced non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) are still a matter of debate. Thus, we investigated the associations between PBB, the efficacy of ICIs and the incidence of irAEs.

methodsPatients with advanced NSCLC, who had been treated at Peking Union Medical College Hospital and received ICIs or chemoimmunotherapy from January 2015 to December 2020, were retrospectively identified. PBBs results were retrieved from medical records. Associations with overall response rate, survival, and incidence of irAEs were assessed using Kruskal-Wallis, Kaplan-Meier analysis, Pearson's chi-squared and Student's

resultsAmong 103 patients, 38 (36.9%) developed irAEs. Pretreatment absolute lymphocyte count (ALC) was related to an increased risk of irAEs in the whole population [odds ratio (OR), 2.165; 95% confidence interval (CI): 1.040 to 4.509, P=0.039] and patients receiving ICIs only (OR, 6.461; 95% CI: 1.067 to 39.112; P=0.042). A low prognostic nutritional index (PNI ≤45) was associated with worse progression-free survival (PFS) and overall survival (OS) in the whole population, in patients receiving ICIs only, and in patients receiving chemoimmunotherapy. High pretreatment interleukin (IL)-6 was associated with both worse PFS and OS in the whole population (IL-6 >13.80 pg/mL), in patients receiving ICIs only (IL-6 >11.30 pg/mL), and in patients receiving chemoimmunotherapy (IL-6 >11.85 pg/mL). Increase of IL-6 during treatment was associated with inferior OS in the whole population (P<0.001).

conclusionsPretreatment ALC has the potential to predict irAEs in patients with advanced NSCLC treated with ICIs. Additionally, a low level of pretreatment PNI and high level of IL-6 may be associated with shorter survival.

Indexed as

advanced non-small cell lung cancer (NSCLC)Immune checkpoint inhibitors (ICIs)immune-related adverse events (irAEs)peripheral blood biomarker

Identifiers

PMID35070755
PMCPMC8743518
OpenAlexW3213078492

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.