Evidence map›Paper›PMID 42488667›Full record

ArticleFrontiers in immunology2026

Prognostic significance of continuing immunotherapy beyond progression in unresectable lung adenocarcinoma.

Fang Hu, Liang Zheng, Haoming Xu, Feng Pan, Wei Nie, Runbo Zhong, Yuqing Lou, Baohui Han, Xiaoxuan Zheng, Hua Zhong and 1 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Fang Hu *Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Liang Zheng *Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haoming Xu *Department of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Feng PanDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei NieDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Runbo ZhongDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuqing LouDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Baohui HanDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaoxuan ZhengDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hua ZhongDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xueyan ZhangDepartment of Respiratory and Critical Care Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In patients with unresectable lung adenocarcinoma, whether cross-line immunotherapy (CIT) can improve clinical outcomes remains unclear. Methods: This study enrolled patients with unresectable lung adenocarcinoma who received immune checkpoint inhibitors (ICIs)-based therapy and subsequently experienced disease progression. According to post-progression treatment strategies, patients were categorized into two groups: CIT group and Non-CIT group. The primary endpoints were second progression-free survival (PFS2), overall survival (OS), and post-progression survival (PPS), analyzed both using unadjusted and inverse probability for treatment weighting (IPTW) analyses. Survival outcomes were analyzed using the Kaplan-Meier method and compared with the log-rank test. Multivariate Cox regression was performed to identify independent prognostic factors. A nomogram for PPS prediction was built and internally validated with bootstrap resampling and receiver operating characteristic (ROC) curves. Results: A total of 185 patients met the inclusion criteria and were studied assessed, including 77 in the CIT group and 108 in the Non-CIT group. Baseline characteristics were generally balanced between two groups. After IPTW adjustment, median PFS2 was significantly longer in the CIT group compared with the Non-CIT group (6.3 vs. 2.8 months; hazard ratio (HR)=0.54, 95% confidence intervals (CI): 0.39-0.77, P<0.001). Similarly, the CIT group demonstrated improved median PPS and OS compared with Non-CIT group. Multivariate Cox analysis also identified CIT as independent predictors of PFS2, PPS and OS. The PPS nomogram showed good predictive performance. Conclusions: In patients with unresectable lung adenocarcinoma who progressed after initial immunotherapy, continuation of immunotherapy beyond progression was associated with significantly improved survival. The PPS nomogram may facilitate risk stratification and personalized post-progression management.

Indexed as

Adenocarcinoma of LungImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsAgedDisease ProgressionFemaleHumansMaleMiddle AgedNomogramsPrognosisProgression-Free SurvivalRetrospective StudiesTreatment OutcomeImmune Checkpoint Inhibitorscross-line immunotherapyimmune checkpoint inhibitorslung adenocarcinomanomogramprognosis

Identifiers

PMID42488667
PMCPMC13388323

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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.