Evidence map›Paper›PMID 42890477›Full record

ArticleOncology letters2026

Ivonescimab combined with radiotherapy in the treatment of advanced lung adenocarcinoma with high expression of PD-L1: A case report.

Qi Zhou, Bo Yang, Hongyi Cai, Jun Jiang, Rong Chen

Abstract readCase Reports
In one paragraph

Article in Oncology letters, 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

5 authors.

Qi ZhouDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, Qinghai 810000, P.R. China.
Bo YangDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, Qinghai 810000, P.R. China.
Hongyi CaiDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, Qinghai 810000, P.R. China.
Jun JiangDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, Qinghai 810000, P.R. China.
Rong ChenDepartment of Oncology, Affiliated Hospital of Qinghai University, Xining, Qinghai 810000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The optimal sequencing of immunotherapy and radiotherapy in non-small cell lung cancer (NSCLC) remains unclear. The present study reports a case of advanced lung adenocarcinoma (cT4N2bM1a, stage IVa) with a programmed death-ligand 1 (PD-L1) tumor proportion score of 90% and TP53 mutation. The patient received first-line ivonescimab monotherapy (900 mg, every 3 weeks) for four cycles, achieving a partial response (47% reduction per Response Evaluation Criteria in Solid Tumors 1.1). Sequential thoracic radiotherapy (5,000 cGy/25 fractions) was then administered for consolidation. Serum tumor markers (carcinoembryonic antigen, cancer antigen 125, cytokeratin 19 fragment and neuron-specific enolase) exhibited markedly decreased levels from baseline. Grade I radiation pneumonitis occurred post-radiotherapy but resolved rapidly with low-dose glucocorticoids. At the last follow-up (8 months), the patient remained progression-free with the Eastern Cooperative Oncology Group performance status improving from 2 to 0. This case provides real-world evidence for the 'immunotherapy induction followed by radiotherapy consolidation' strategy in an individual with high PD-L1 expression. The presence of TP53 mutation may predict an enhanced synergistic response to combined immunotherapy and radiotherapy, warranting further investigation.

Indexed as

first-line therapyimmunotherapyivonescimablung adenocarcinomaprogrammed death-ligand 1radiotherapy

Identifiers

PMID42890477
PMCPMC13673248

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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.