Evidence map›Paper›PMID 37059106›Full record

ArticleCancer cell2023

An immunogenic and oncogenic feature-based classification for chemotherapy plus PD-1 blockade in advanced esophageal squamous cell carcinoma.

Yan-Xing Chen, Zi-Xian Wang, Ying Jin, Qi Zhao, Ze-Xian Liu, Zhi-Xiang Zuo, Huai-Qiang Ju, Chengxu Cui, Jun Yao, Yanqiao Zhang and 10 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Cancer cell, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
  2. Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
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  4. Molecular subtyping-guided precision therapy for ESCC: biomarker-driven strategies and clinical translation pathways.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  6. Article
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  12. Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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  14. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 2 countries.

Yan-Xing 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 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Bioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Zi-Xian WangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China.
Ying JinDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China.
Qi ZhaoResearch Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Bioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Ze-Xian LiuResearch Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Bioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Zhi-Xiang ZuoBioinformatics Platform, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Huai-Qiang JuResearch Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China; Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Chengxu CuiCancer Hospital Chinese Academy of Medical Sciences, Beijing 100021, China.
Jun YaoThe First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471000, China.
Yanqiao ZhangHarbin Medical University Cancer Hospital, Harbin 150081, China.
Mengxia LiArmy Medical Center of PLA, Chongqing 400042, China.
Jifeng FengJiangsu Cancer Hospital, Nanjing 210009, China.
Lin TianDepartment of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Xiao-Jun XiaDepartment of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Hui FengShanghai Junshi Biosciences, Shanghai 200126, China; TopAlliance Biosciences, Rockville, MD 20850, USA.
Sheng YaoShanghai Junshi Biosciences, Shanghai 200126, China; TopAlliance Biosciences, Rockville, MD 20850, USA.
Feng-Hua WangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Yu-Hong LiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China.
Feng WangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China. Electronic address: wangfeng@sysucc.org.cn.
Rui-Hua XuDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China; Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou 510060, China. Electronic address: xurh@sysucc.org.cn.
Sun Yat-sen University · CNBioscience Research · USArmy Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNFirst Affiliated Hospital of Henan University of Science and Technology · CNHarbin Medical University · CNJiangsu Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although chemotherapy plus PD-1 blockade (chemo+anti-PD-1) has become the standard first-line therapy for advanced esophageal squamous cell carcinoma (ESCC), reliable biomarkers for this regimen are lacking. Here we perform whole-exome sequencing on tumor samples from 486 patients of the JUPITER-06 study and develop a copy number alteration-corrected tumor mutational burden that depicts immunogenicity more precisely and predicts chemo+anti-PD-1 efficacy. We identify several other favorable immunogenic features (e.g., HLA-I/II diversity) and risk oncogenic alterations (e.g., PIK3CA and TET2 mutation) associated with chemo+anti-PD-1 efficacy. An esophageal cancer genome-based immuno-oncology classification (EGIC) scheme incorporating these immunogenic features and oncogenic alterations is established. Chemo+anti-PD-1 achieves significant survival improvements in EGIC1 (immunogenic feature-favorable and oncogenic alteration-negative) and EGIC2 (either immunogenic feature-favorable or oncogenic alteration-negative) subgroups, but not the EGIC3 subgroup (immunogenic feature-unfavorable and oncogenic alteration-positive). Thus, EGIC may guide future individualized treatment strategies and inform mechanistic biomarker research for chemo+anti-PD-1 treatment in patients with advanced ESCC.

Indexed as

Esophageal NeoplasmsEsophageal Squamous Cell CarcinomaB7-H1 AntigenBiomarkers, TumorDNA Copy Number VariationsHumansMutationB7-H1 AntigenBiomarkers, Tumorbiomarkerchemotherapy plus PD-1 blockadeesophageal squamous cell carcinomagenomicsmolecular classificationTMB

Identifiers

PMID37059106
OpenAlexW4365445771

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.