Evidence map›Paper›PMID 41855504›Full record

ArticleBlood advances2026

Live-cell Pick-Seq (LiP-Seq): Interrogating ultra-rare mantle cell lymphoma persistent cells after CART19 therapy.

Ran Xu, Gongwei Wu, Siobhan Rice, Matthew Booker, Jenalyn Weekes, Hayden Bell, Yifei Gao, Ajit J Nirmal, Huiyun Liu, Zoe Ciantra and 19 more

Abstract read
In one paragraph

Article in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. [Advances in single cell omics applications in mantle cell lymphoma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2026
    Review
  2. Advances in targeted and cellular therapies for relapsed/refractory mantle cell lymphoma: immunotherapeutic strategies and challenges.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
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

29 authors.

Ran XuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0001-5023-3281
Gongwei WuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0002-2509-2381
Siobhan RiceDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Matthew BookerDepartment of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-6902-1032
Jenalyn WeekesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0009-0007-6380-4259
Hayden BellDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0002-9451-5333
Yifei GaoDepartment of Biomedical Data Science, Dartmouth College, Hanover, NH.ORCID 0009-0009-2524-8161
Ajit J NirmalDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Huiyun LiuDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Zoe CiantraDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Qingyu LuoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0003-4164-637X
Amanda FortuneDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0009-0005-6774-8042
Karley WhalenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Timothy GuanciDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0009-0006-3305-6133
Yifei WanDepartment of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA.
Abner LouissaintDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Joshua J NordbergRareCyte, Inc, Seattle, WA.
Jia-Ren LinLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston MA.ORCID 0000-0003-4702-7705
Michael HemannDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA.
Scott R ManalisDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA.
Philippe ArmandDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Eric SmithDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Caron A JacobsonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Michael TolstorukovDepartment of Informatics and Analytics, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-9134-8808
Mark A MurakamiDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0001-9520-2876
Peter K SorgerLaboratory of Systems Pharmacology, Department of Systems Biology, Harvard Medical School, Boston MA.ORCID 0000-0002-3364-1838
David M WeinstockDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.
Li SongDepartment of Biomedical Data Science, Dartmouth College, Hanover, NH.ORCID 0000-0002-0180-7426
Andrew A LaneDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA.ORCID 0000-0001-7380-0226

Funding

Rapid highly multi-plexed immuno-profiling of solid tumors by SpectralEdge imagingR44CA224503 · NCI · RARECYTE, INC. · PI KALDJIAN, ERIC, REESE, STEVEN · 2020 to 2021
$2.0M
Targeting minimal residual disease in AML by using single-cell morphological and biophysical analysis with deep learningU01CA282163 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Michael Hemann, Andrew A Lane · 2024 to 2026
$1.9M
Advancing technologies for the collection and analysis of high dimensional immunoprofiles and tumor imagesR50CA274277 · NCI · HARVARD MEDICAL SCHOOL · PI Jia-Ren Lin · 2022 to 2026
$879k
NCI NIH HHS R44 CA224503NCI NIH HHS R50 CA274277NCI NIH HHS U01 CA282163
6 · The paper itself

Abstract

abstractMany cancer therapies induce high response rates, with some resulting in undetectable disease as assessed using standard clinical assays. This is particularly true in leukemia and lymphoma, in which patients often achieve deep remission yet ultimately experience relapse. These outcomes highlight a critical need to better understand ultrarare persistent cells that survive therapy but remain inaccessible to current techniques. Here, we developed Live-cell Pick-Seq (LiP-Seq), an advanced platform leveraging multiplexed live-cell imaging to identify and retrieve individual target cells for downstream analysis. LiP-Seq enables high-resolution transcriptomic profiling of single, viable lymphoma cells present at frequencies as low as 10-6, providing a technological window into the biology of these elusive reservoirs. Applying this method to patients with mantle cell lymphoma after treatment with CD19 chimeric antigen receptor T-cell (CAR-T) therapy, we identified recurrent upregulation of the immune modulator IFITM2 in the persistent cell fraction. Functional validation demonstrated that IFITM2 overexpression conferred protection against CAR-T cytotoxicity in vitro, implicating it as a potential survival mechanism under therapeutic pressure. Our results provide, to our knowledge, the first transcriptomic characterization of viable, ultrarare persistent cells using LiP-Seq, establishing a new paradigm for identifying and targeting features that may enable treatment evasion.

Indexed as

Immunotherapy, AdoptiveLymphoma, Mantle-CellReceptors, Chimeric AntigenAntigens, CD19Gene Expression ProfilingHumansSingle-Cell Gene Expression AnalysisAntigens, CD19Receptors, Chimeric Antigen

Identifiers

PMID41855504
PMCPMC13234471

What OpenQuestion holds

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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.