Evidence map›Paper›PMID 39742281›Full record

ArticleFrontiers in immunology2024

The clinical value of local consolidative therapy for oligo-residual disease in PD-1/PD-L1 inhibitors-treated non-small cell lung cancer.

Yuqi Su, Pan Luo, Ling Ni, Jianbin Hu, Jie Weng, Erdong Shen, Qiang Zhou, Tao Chen, Jiwen Xiao, Jia Xiao and 4 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Yuqi Su *Department of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Pan Luo *Department of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Ling NiDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Jianbin HuDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Jie WengDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Erdong ShenDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Qiang ZhouDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Tao ChenDepartment of Thoracic Surgery, Yueyang Central Hospital, Yueyang, Hunan, China.
Jiwen XiaoDepartment of Oncology, Hunan University of Medicine General Hosipital, Huaihua, Hunan, China.
Jia XiaoDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Wangti XieDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Rong ShanDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Xiang YaoDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.
Fang WenDepartment of Oncology, Yueyang Central Hospital, Yueyang, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Few real-world studies exist regarding the clinical value of local consolidative therapy (LCT) for oligo-residual disease (ORD) in NSCLC patients treated with immune checkpoint inhibitors. Therefore, we retrospectively evaluated whether LCT could improve the prognosis of NSCL patients with ORD after effective first-line PD-1/PD-L1 inhibitors treatment. Methods: A total of 132 patients with metastatic NSCLC who had received first-line PD-1/PD-L1inhibitors-based systemic treatment and developed ORD (defined as residual tumors limited to three organs and five lesions) were included. The LCT group consisted of 41 patients received LCTs for oligo-residual lesions before treatment failure, and the remaining 91 patients, who did not receive local therapies, constituted the non-LCT group. The progression-free survival (PFS) and overall survival (OS) of the two groups were analyzed. Results: With a median follow-up of 12.0 months, 86 patients developed progressive disease and 42 patients died. Compared with the non-LCT group, LCT group exhibited significant longer progression-free survival (PFS) (median 11.0 vs. 7.0 months, P=0.017) and overall survival (OS) (median 26.0 vs. 17.0 months, P=0.003). Multivariable analysis demonstrated that LCT was an independent predictor of prolonged PFS (HR=0.606, 95% CI=0.370-0.964, P=0.035) and OS (HR=0.467, 95% CI=0.229-0.949, P=0.035). Subgroup analysis revealed that the dominant population considerably benefited from LCT in terms of PFS and OS included patients with 1-2 residual tumor sites (mPFS: 11.0 vs. 7.0 months, P=0.013; mOS: 23.0 vs. 17.0 months, P=0.018) and those with high PD-L1 expression (mPFS: 13.0 vs. 7.0 months, P=0.018; mOS: 34.0 vs. 16.0 months, P=0.030). In addition, the All-LCT group had significantly longer PFS (mPFS 16.0 vs. 7.0, P=0.002) and OS (mOS 28.0 vs. 17.0, P= 0.002) than did the non-LCT group. However, patients who received LCT to only some of their lesions had not experienced improvements in PFS (P=0.546) or OS (P=0.198). Conclusion: LCT may provide extra survival benefits among patients with oligo-residual NSCLC after effective first-line PD-1/PD-L1 inhibitors treatment, particularly in those patients with one or two residual lesions, high PD-L1 expression, or who had received LCT for all lesions. LCT may be a novel treatment option for this specific population.

Indexed as

B7-H1 AntigenCarcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsLung NeoplasmsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm, ResidualProgrammed Cell Death 1 ReceptorRetrospective StudiesB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsPDCD1 protein, humanProgrammed Cell Death 1 Receptorimmune checkpoint inhibitorslocal consolidative therapynon-small cell lung canceroligo-residual diseasePD-1/PD-L1 inhibitors

Identifiers

PMID39742281
PMCPMC11685184

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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.