Evidence map›Paper›PMID 40755831›Full record

ArticleTherapeutic advances in medical oncology2025

First case report of immune checkpoint inhibitor therapy to treat secretory carcinoma.

Xiangyang Yu, Xiaoxing Ye, Mengqi Zhang, Wenting Huang, Calvin S H Ng, Zhentao Yu, Kai Ma

Abstract readCase Reports
In one paragraph

Article in Therapeutic advances in medical oncology, 2025. 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

7 authors.

Xiangyang YuDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.ORCID https://orcid.org/0000-0002-2372-8905
Xiaoxing YeDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Mengqi ZhangDepartment of Dermatology, Shenzhen Center for Chronic Disease Control and Shenzhen Institute of Dermatology, Shenzhen, China.
Wenting HuangDepartment of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Calvin S H NgDivision of Cardiothoracic Surgery, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-8074-0900
Zhentao YuDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Kai MaDepartment of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No. 113 Baohe Avenue, Longgang District, Shenzhen, 518116, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secretory carcinoma (SC) is a newly defined and exceedingly rare pathologic subtype of lung cancer. We present a case of SC that was initially misdiagnosed as stage IIIB (cT2aN3M0) invasive mucinous adenocarcinoma harboring a programmed cell death ligand 1 tumor proportion score of 10% and an

Indexed as

case reportETV6-METimmunotherapylung cancerneoadjuvant therapysecretory carcinoma

Identifiers

PMID40755831
PMCPMC12314235

What OpenQuestion holds

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Registered trials

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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.