Evidence map›Paper›PMID 36797491›Full record

ArticleNature biotechnology2023

Single-cell mapping of combinatorial target antigens for CAR switches using logic gates.

Joonha Kwon, Junho Kang, Areum Jo, Kayoung Seo, Dohyeon An, Mert Yakup Baykan, Jun Hyeong Lee, Nayoung Kim, Hye Hyeon Eum, Sohyun Hwang and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Mapping the clinical landscape of multifunctional CAR T cells: Targets, trends, and synergies.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Pooled it
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  9. Frontiers in immunology · 2026
    Review
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  14. Engineering CAR-T Therapeutics for Enhanced Solid Tumor Targeting.Advanced materials (Deerfield Beach, Fla.) · 2025
    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

16 authors at 4 institutions in 1 country.

Joonha Kwon *Department of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Junho Kang *Graduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea.
Areum JoDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Kayoung SeoDepartment of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Dohyeon AnDepartment of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Mert Yakup BaykanGraduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea.
Jun Hyeong LeeDepartment of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea.
Nayoung KimDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-3202-750X
Hye Hyeon EumDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Sohyun HwangDepartment of Pathology, CHA Bundang Medical Center, CHA University, Seongnam-si, Republic of Korea.
Ji Min LeeCHA Advanced Research Institute, CHA Bundang Medical Center, Seongnam-si, Republic of Korea.
Woong-Yang ParkSamsung Genome Institute, Samsung Medical Center, Seoul, Republic of Korea.
Hee Jung AnDepartment of Pathology, CHA Bundang Medical Center, CHA University, Seongnam-si, Republic of Korea. hjahn@cha.ac.kr.ORCID 0000-0002-2153-1420
Hae-Ock LeeDepartment of Microbiology, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea. haeocklee@catholic.ac.kr.ORCID 0000-0001-5123-0322
Jong-Eun ParkGraduate School of Medical Science and Engineering, KAIST, Daejeon, Republic of Korea. jp24@kaist.ac.kr.ORCID 0000-0002-1687-2423
Jung Kyoon ChoiDepartment of Bio and Brain Engineering, KAIST, Daejeon, Republic of Korea. jungkyoon@kaist.ac.kr.ORCID 0000-0003-2077-8947
Korea Advanced Institute of Science and Technology · KRCatholic University of Korea · KRCHA University Bundang Medical Center · KRSamsung Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of optimal target antigens that distinguish cancer cells from normal surrounding tissue cells remains a key challenge in chimeric antigen receptor (CAR) cell therapy for tumors with intratumoral heterogeneity. In this study, we dissected tissue complexity to the level of individual cells through the construction of a single-cell expression atlas that integrates ~1.4 million tumor, tumor-infiltrating normal and reference normal cells from 412 tumors and 12 normal organs. We used a two-step screening method using random forest and convolutional neural networks to select gene pairs that contribute most to discrimination between individual malignant and normal cells. Tumor coverage and specificity are evaluated for the AND, OR and NOT logic gates based on the combinatorial expression pattern of the pairing genes across individual single cells. Single-cell transcriptome-coupled epitope profiling validates the AND, OR and NOT switch targets identified in ovarian cancer and colorectal cancer.

Indexed as

Ovarian NeoplasmsT-LymphocytesAntigens, NeoplasmFemaleHumansImmunotherapy, AdoptiveAntigens, Neoplasm

Identifiers

PMID36797491
OpenAlexW4321079297

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.