Evidence map›Paper›PMID 38374204›Full record

Trial reportNature communications2024

Sintilimab with two cycles of chemotherapy for the treatment of advanced squamous non-small cell lung cancer: a phase 2 clinical trial.

Mina Zhang, Guowei Zhang, Yuanyuan Niu, Guifang Zhang, Yinghua Ji, Xiangtao Yan, Xiaojuan Zhang, Qichuan Wang, Xiaohui Jing, Junsheng Wang and 2 more

Open access · goldAbstract readClinical Trial, Phase IIMulticenter Study
In one paragraph

Trial report in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  5. Review
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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

12 authors at 5 institutions in 1 country.

Mina ZhangDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, 127 Dongming Rd, Zhengzhou, 450003, China.
Guowei ZhangDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, 127 Dongming Rd, Zhengzhou, 450003, China.
Yuanyuan NiuDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, 127 Dongming Rd, Zhengzhou, 450003, China.
Guifang ZhangDepartment of Medical Oncology, Xinxiang Central Hospital, 56 Jinsui Rd, Xinxiang, 453000, China.
Yinghua JiDepartment of Medical Oncology, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Rd, Xinxiang, 453199, China.
Xiangtao YanDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, 127 Dongming Rd, Zhengzhou, 450003, China.
Xiaojuan ZhangDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, 127 Dongming Rd, Zhengzhou, 450003, China.
Qichuan WangDepartment of Medical Oncology, The Second People's Hospital of Nanyang, 66 Jianshe Rd, Nanyang, 473000, China.
Xiaohui JingDepartment of Medical Oncology, The First People's Hospital of Pingdingshan, 117 Youyue Rd, Pingdingshan, 467099, China.
Junsheng WangDepartment of Medical Oncology, Anyang Cancer Hospital, 2 N Huanbin Rd, Anyang, 455001, China.
Zhiyong MaDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, 127 Dongming Rd, Zhengzhou, 450003, China.
Huijuan WangDepartment of Medical Oncology, The Affiliated Cancer Hospital of Zhengzhou University/Henan Cancer Hospital, 127 Dongming Rd, Zhengzhou, 450003, China. 18638561588@163.com.ORCID 0000-0003-3924-4822
Zhengzhou University · CNAnyang Tumor Hospital · CNFirst Affiliated Hospital of Xinxiang Medical University · CNNantong University · CNPingdingshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This was a single-arm, multicenter phase 2 clinical trial (ChiCTR1900021726) involving advanced squamous non-small cell lung cancer (sq-NSCLC) patients undergoing 2 cycles of nab-paclitaxel/carboplatin and sintilimab (anti-PD-1), followed by sintilimab maintenance therapy. The median progression-free survival (PFS) was 11.4 months (95% CI: 6.7-18.1), which met the pre-specified primary endpoint. Secondary endpoints included objective response rate reaching 70.5% and a disease control rate of 93.2%, with a median duration of response of 13.6 months [95% CI: 7.0-not evaluable (NE)]. The median overall survival was 27.2 months (95% CI: 20.2-NE) with treatment-related adverse events grades ≥3 occurring in 10.9% of patients. Predefined exploratory endpoints comprised relationships between biomarkers and treatment efficacy, and the association between circulating tumor DNA (ctDNA) dynamics and PFS. Biomarker analysis revealed that the breast cancer gene 2, BMP/Retinoic Acid Inducible Neural Specific 3, F-box/WD repeat-containing protein 7, tyrosine-protein kinase KIT and retinoblastoma 1 abnormalities led to shorter PFS, while ctDNA negative at baseline or clearance at 2 cycles of treatment was associated with longer PFS (18.1 vs. 4.3 months). Taken together, sintilimab in combination with 2 cycles of nab-paclitaxel/carboplatin treatment produced encouraging PFS and better tolerability as first-line treatment for advanced sq-NSCLC.

Indexed as

Antibodies, Monoclonal, HumanizedCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellLung NeoplasmsAntineoplastic Combined Chemotherapy ProtocolsCarboplatinHumansAntibodies, Monoclonal, HumanizedCarboplatinsintilimab

Identifiers

PMID38374204
PMCPMC10876536
OpenAlexW4391933306

What OpenQuestion holds

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LicenceCC BY
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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.