Evidence map›Paper›PMID 41869876›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

scResponse: A Rank-Based Method for Identifying Cell States That Contribute to Immunotherapy Response by Single-Cell Data.

Qi Dong, Haijun Huang, Yuxiu Wang, Bo Jiang, Yuzheng Chen, Huanhuan Xu, Jing Ren, Shengnan Guo, Tianhao Li, Mingjie Zhang and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

22 authors.

Qi DongHarbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-7500-6541
Haijun HuangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Yuxiu WangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Bo JiangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Yuzheng ChenSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Huanhuan XuSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Jing RenSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Shengnan GuoSchool of Intelligent Medicine and Technology, Big Data Research Center, Hainan Engineering Research Center for Health Big Data, Hainan Medical University, Hainan, China.
Tianhao LiSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Mingjie ZhangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Tianyu ZhaiSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Wenbo YangDepartment of Hematology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Kaidong LiuDepartment of Systems Biology, College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Cheng LyuSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Jingxuan KangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Mingshuo ZhangSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Yupeng LuSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Binghui SiSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Shujun CaoSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.
Dandan XuCenter for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, China.
Zong ChenHarbin Medical University Cancer Hospital, Harbin Medical University, Harbin, China.
Dapeng HaoSchool of Basic Medical Sciences, Harbin Medical University, Harbin, China.ORCID https://orcid.org/0000-0002-9043-371X

Funding

China Postdoctoral Science Foundation 2025MD784164Heilongjiang Postdoctoral Fund LBH-Z25209National Natural Science Foundation of China 82273492National Natural Science Foundation of China 82394454Postdoctoral Fellowship Program of CPSF GZC20251713
6 · The paper itself

Abstract

Immunotherapy has shown great promise in cancer treatment, yet many patients fail to achieve long-term efficacy. Single-cell sequencing is a powerful technique for understanding how cellular diversity affects treatment outcomes; however, there remains a lack of robust methods for evaluating immunotherapy efficacy at single-cell resolution. In this study, we present scResponse, an efficient algorithm that quantifies single-cell responses to immunotherapy. scResponse captures subtle influences of diverse cellular subtypes and states on immunotherapy efficacy, including the effects of vascular normalization states of vascular cells, polarization of macrophages, terminal exhaustion of CD8

Indexed as

ImmunotherapyNeoplasmsSingle-Cell AnalysisAlgorithmsAnimalsCD8-Positive T-LymphocytesHumansMiceT-Cell Exhaustioncell stateimmunotherapymetabolismsingle‐cell

Identifiers

PMID41869876
PMCPMC13588071

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.