Evidence map›Paper›PMID 34923987›Full record

ArticleBMC medicine2021

Assessment of anti-PD-(L)1 for patients with coexisting malignant tumor and tuberculosis classified by active, latent, and obsolete stage.

Shan Su, Mei-Feng Ye, Xiao-Ting Cai, Xue Bai, Zhi-Hao Huang, Si-Cong Ma, Jian-Jun Zou, Yu-Xiang Wen, Li-Juan Wu, Xue-Jun Guo and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

15 authors at 2 institutions in 1 country.

Shan Su *Department of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
Mei-Feng Ye *Department of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
Xiao-Ting Cai *Department of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xue BaiDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhi-Hao HuangDepartment of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
Si-Cong MaDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jian-Jun ZouDepartment of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
Yu-Xiang WenDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Li-Juan WuDepartment of Tuberculosis, Guangzhou Chest Hospital, Guangzhou, China.
Xue-Jun GuoDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xian-Lan ZhangDepartment of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
Wen-Chang CenDepartment of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
Duo-Hua SuDepartment of Tuberculosis, Guangzhou Chest Hospital, Guangzhou, China.
Hui-Yi HuangDepartment of Oncology, Guangzhou Chest Hospital, Guangzhou, China.
Zhong-Yi DongDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China. dongzy1317@foxmail.com.ORCID 0000-0001-9967-0060
Guangzhou Chest Hospital · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is not a rare clinical scenario to have patients presenting with coexisting malignant tumor and tuberculosis. Whether it is feasible to conduct programmed death-(ligand) 1 [PD-(L)1] inhibitors to these patients, especially those with active tuberculosis treated with concurrent anti-tuberculosis, is still unknown.

methodsThis study enrolled patients with coexisting malignancy and tuberculosis and treated with anti-PD-(L)1 from Jan 2018 to July 2021 in 2 institutions. The progression-free survival (PFS), objective response rate (ORR), and safety of anti-PD-(L)1 therapy, as well as response to anti-tuberculosis treatment, were evaluated.

resultsA total of 98 patients were screened from this cohort study, with 45 (45.9%), 21 (21.4%), and 32 (32.7%) patients diagnosed with active, latent, and obsolete tuberculosis, respectively. The overall ORR was 36.0% for anti-PD-(L)1 therapy, with 34.2%, 35.5%, and 41.2% for each subgroup. Median PFS was 8.0 vs 6.0 vs 6.0 months (P=0.685) for each subgroup at the time of this analysis. For patients with active tuberculosis treated with concurrent anti-tuberculosis, median duration of anti-tuberculosis therapy was 10.0 (95% CI, 8.01-11.99) months. There were 83.3% (20/24) and 93.3% (42/45) patients showing sputum conversion and radiographic response, respectively, after anti-tuberculosis therapy, and two patients experienced tuberculosis relapse. Notably, none of the patients in latent and only one patient in obsolete subgroups showed tuberculosis induction or relapse after anti-PD-(L)1 therapy. Treatment-related adverse events (TRAEs) occurred in 33 patients (73.3%) when treated with concurrent anti-PD-(L)1 and anti-tuberculosis. Grade 3 or higher TRAEs were hematotoxicity (n = 5, 11.1%), and one patient suffered grade 3 pneumonitis leading to the discontinuation of immunotherapy.

conclusionsThis study demonstrated that patients with coexisting malignant tumor and tuberculosis benefited equally from anti-PD-(L)1 therapy, and anti-tuberculosis response was unimpaired for those with active tuberculosis. Notably, the combination of anti-PD-(L)1 and anti-tuberculosis therapy was well-tolerated without significant unexpected toxic effects.

Indexed as

NeoplasmsTuberculosisCohort StudiesHumansImmunotherapyMalignant tumor, Tuberculosis, PD1/PD-L1, Efficacy, Safety

Identifiers

PMID34923987
PMCPMC8686368
OpenAlexW4200433525

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.