Evidence map›Paper›PMID 35641209›Full record

ArticleThe oncologist2022

Comprehensive Characterization of the Genomic Landscape in Chinese Pulmonary Neuroendocrine Tumors Reveals Prognostic and Therapeutic Markers (CSWOG-1901).

Wenying Peng, Liming Cao, Likun Chen, Gen Lin, Bo Zhu, Xiaohua Hu, Yingcheng Lin, Sheng Zhang, Meilin Jiang, Jingyi Wang and 12 more

Open access · goldAbstract read
In one paragraph

Article in The oncologist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

22 authors at 9 institutions in 2 countries.

Wenying PengThe Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Liming CaoDepartment of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Likun ChenDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People's Republic of China.
Gen LinDepartment of Thoracic Oncology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China.
Bo ZhuInstitute of Cancer, Xinqiao Hospital, Third Military Medical University, Chongqing, People's Republic of China.
Xiaohua HuThe First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China.
Yingcheng LinCancer Hospital of Shantou University Medical College, Shantou, People's Republic of China.
Sheng ZhangCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Meilin JiangThe Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Jingyi WangThe Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Junjun LiDepartment of Pathology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Chao LiDepartment of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, People's Republic of China.
Lin ShaoBurning Rock Biotech, Guangzhou, People's Republic of China.
Haiwei DuBurning Rock Biotech, Guangzhou, People's Republic of China.
Ting HouBurning Rock Biotech, Guangzhou, People's Republic of China.
Zhiqiu ChenBurning Rock Biotech, Guangzhou, People's Republic of China.
Jianxing XiangBurning Rock Biotech, Guangzhou, People's Republic of China.
Xingxiang PuThe Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Jia LiThe Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Fang XuThe Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.
Herbert LoongDepartment of Clinical Oncology, Deputy Medical Director, Phase 1 Clinical Trials Centre, Chinese University of Hong Kong, Hong Kong SAR, People's Republic of China.
Lin WuThe Second Department of Thoracic Oncology, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, People's Republic of China.ORCID 0000-0001-7078-7767
Central South University · CNBurning Rock Biotech (China) · CNFujian Medical University · CNArmy Medical University · CNChinese University of Hong Kong · HKGuangxi Medical University · CNShantou University · CNSun Yat-sen University · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPulmonary neuroendocrine tumors (pNETs) include typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC), and small cell lung carcinoma (SCLC). The optimal treatment strategy for each subtype remains elusive, partly due to the lack of comprehensive understanding of their molecular features. We aimed to explore differential genomic signatures in pNET subtypes and identify potential prognostic and therapeutic biomarkers.

methodsWe investigated genomic profiles of 57 LCNECs, 49 SCLCs, 18 TCs, and 24 ACs by sequencing tumor tissues with a 520-gene panel and explored the associations between genomic features and prognosis.

resultsBoth LCNEC and SCLC displayed higher mutation rates for TP53, PRKDC, SPTA1, NOTCH1, NOTCH2, and PTPRD than TC and AC. Small cell lung carcinoma harbored more frequent co-alterations in TP53-RB1, alterations in PIK3CA and SOX2, and mutations in HIF-1, VEGF and Notch pathways. Large cell neuroendocrine carcinoma (12.7 mutations/Mb) and SCLC (11.9 mutations/Mb) showed higher tumor mutational burdens than TC (2.4 mutations/Mb) and AC (7.1 mutations/Mb). 26.3% of LCNECs and 20.8% of ACs harbored alterations in classical non-small cell lung cancer driver genes. The presence of alterations in the homologous recombination pathway predicted longer progression-free survival in advanced LCNEC patients with systemic therapy (P = .005) and longer overall survival (OS) in SCLC patients with resection (P = .011). The presence of alterations in VEGF (P = .048) and estrogen (P = .018) signaling pathways both correlated with better OS in patients with resected SCLC.

conclusionWe performed a comprehensive genomic investigation on 4 pNET subtypes in the Chinese population. Our data revealed distinctive genomic signatures in subtypes and provided new insights into the prognostic and therapeutic stratification of pNETs.

Indexed as

Carcinoid TumorCarcinoma, Large CellCarcinoma, NeuroendocrineCarcinoma, Non-Small-Cell LungLung NeoplasmsNeuroectodermal Tumors, PrimitiveNeuroendocrine TumorsSmall Cell Lung CarcinomaBiomarkersChinaGenomicsHumansPrognosisVascular Endothelial Growth Factor ABiomarkersVascular Endothelial Growth Factor Ahomologous recombinationnext-generation sequencingprognosispulmonary neuroendocrine tumortargetable driver alteration

Identifiers

PMID35641209
PMCPMC8895731
OpenAlexW4206244793

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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.