Evidence map›Paper›PMID 34575691›Full record

ReviewJournal of personalized medicine2021

From Anti-PD-1/PD-L1 to CTLA-4 and to MUC1-Is the Better Response to Treatment in Smokers of Cancer Patients Drug Specific?

Lishi Wang, Fengxia Liu, Jing Li, Li Ma, Helin Feng, Qingyi Liu, William C Cho, Haiyong Chen, Hong Chen, Hua Guo and 6 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

16 authors at 8 institutions in 3 countries.

Lishi WangDepartment of Basic Medicine, Inner Mongolia Medical University, Jinshan Development Zone, Huhhot 010110, China.
Fengxia LiuResearch Center, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang 050011, China.
Jing LiDepartment of Orthopaedic Surgery and Biomedical Engineering, The University of Tennessee Health Science Center, Memphis, TN 38103, USA.
Li MaDepartment of Orthopaedic Surgery and Biomedical Engineering, The University of Tennessee Health Science Center, Memphis, TN 38103, USA.ORCID 0000-0001-8057-6170
Helin FengDepartment of Orthopaedic Surgery and Biomedical Engineering, The University of Tennessee Health Science Center, Memphis, TN 38103, USA.
Qingyi LiuResearch Center, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang 050011, China.
William C ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong, China.ORCID 0000-0003-4174-4586
Haiyong ChenSchool of Chinese Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.ORCID 0000-0002-4889-2752
Hong ChenHeilongjiang Academy of Traditional Chinese Medicine, 41 Xiangshun St, Xiangfang District, Harbin 150040, China.
Hua GuoDepartment of Pathology and Cell Biology, College of Physicians and Surgeons, Columbia University Medical Center, New York, NY 10032, USA.
Zhujun LiDepartment of Basic Medicine, Inner Mongolia Medical University, Jinshan Development Zone, Huhhot 010110, China.
Scott C HowardDepartment of Acute and Tertiary Care, University of Tennessee Health Science Center, Memphis, TN 38103, USA.
Minghui LiHealth Outcomes and Policy Research, Department of Clinical Pharmacy and Translational Science, University of Tennessee College of Pharmacy, 881 Madison Avenue, Room 219, Memphis, TN 38163, USA.
Baoen ShanResearch Center, The Fourth Hospital of Hebei Medical University, 12 Jiankang Road, Shijiazhuang 050011, China.
Weikuan GuDepartment of Orthopaedic Surgery and Biomedical Engineering, The University of Tennessee Health Science Center, Memphis, TN 38103, USA.
Jiafu JiBeijing Cancer Hospital and Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Surgery, Peking University Cancer Hospital and Institute, Beijing 100142, China.
University of Tennessee Health Science Center · USHebei Medical University · CNUniversity of Hong Kong · HKColumbia University Irving Medical Center · USInner Mongolia Medical University · CNPeking University · CNQueen Elizabeth Hospital · CNUniversity of Tennessee at Knoxville · US

Funding

Health Science Center, University of Tennessee R073290143U.S. Department of Veterans Affairs BX000671
6 · The paper itself

Abstract

Whether smokers respond to anti-cancer drugs differently than non-smokers remains controversial. The objective of this study is to explore whether the better response of the smokers is specific to therapy of anti-PD-1/PD-L1, anti-checkpoint inhibitor, individual drugs on the cell surface, or lung cancer. Our results showed that among all non-small cell lung cancer (NSCLC) patients, when the data from anti-PD-1/PD-L1, anti-CTLA-4, and anti-MUC1 drugs are combined, the mean hazard ratios (HR) of smokers and non-smokers were 0.751 and 1.016, respectively. A meta-analysis with a fixed effect (FE) model indicated that the smokers have an HR value of 0.023 lower than that of the non-smokers. A stratified subgroup meta-analysis indicated that when treated with anti-CTLA-4 drugs, smokers had reduced HR values of 0.152 and 0.165 on average and FE model meta-analysis, respectively. When treated with an anti-MUC1 drug, smokers had reduced HR values of 1.563 and 0.645, on average and FE model meta-analysis, respectively. When treated with a combination of nivolumab and ipilimumab drugs, smokers had, on average, reduced HR and FE model meta-analysis values (0.257 and 0.141), respectively. Smoking is a clinical response predictor for anti-PD/PD-L1 monotherapy or first-line treatment in lung, urothelial carcinoma, and head and neck cancer. Smokers treated with other drugs have shown worse responses in comparison to non-smokers. These data suggest that, along with the progress in the development of new drugs for cancer, drugs acting on specific genotypes of smokers likely will arise.

Indexed as

cancerclinical predictordrughazard ratiolungsmoking

Identifiers

PMID34575691
PMCPMC8471889
OpenAlexW3201190671

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.