Evidence map›Paper›PMID 35247891›Full record

ArticleCancer discovery2022

Genomic and Single-Cell Landscape Reveals Novel Drivers and Therapeutic Vulnerabilities of Transformed Cutaneous T-cell Lymphoma.

Xiaofei Song, Shiun Chang, Lucia Seminario-Vidal, Alvaro de Mingo Pulido, Leticia Tordesillas, Xingzhi Song, Rhianna A Reed, Andrea Harkins, Shannen Whiddon, Jonathan V Nguyen and 17 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer discovery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.6field-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

36 citing papers in PubMed, 38 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

27 authors at 3 institutions in 2 countries.

Xiaofei SongDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Shiun Chang *Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Lucia Seminario-Vidal *Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Alvaro de Mingo PulidoDepartment of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Leticia TordesillasDepartment of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Xingzhi SongDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Rhianna A ReedDepartment of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Andrea HarkinsDepartment of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Shannen WhiddonDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Jonathan V NguyenAdvanced Analytical and Digital Laboratory, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0001-6146-2047
Carlos Moran SeguraAdvanced Analytical and Digital Laboratory, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0001-8702-0554
Chaomei ZhangMolecular Genomics Core Facility, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Sean YoderMolecular Genomics Core Facility, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Zena SayeghTissue Core Facility, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Yun ZhaoDepartment of Biopharma Services, Admera Health, Holmdel, New Jersey.
Jane L MessinaDepartment of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0002-0332-0224
Carly M HarroDepartment of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Xiaohui ZhangDepartment of Pathology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
José R Conejo-GarciaDepartment of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0001-6431-4074
Anders BerglundDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0002-0393-3530
Lubomir SokolDepartment of Malignant Hematology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.
Jianhua ZhangDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Paulo C RodriguezDepartment of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0001-7480-6566
James J MuléDepartment of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0001-7354-0516
Andrew P FutrealDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Kenneth Y Tsai *Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0001-5325-212X
Pei-Ling Chen *Department of Cutaneous Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida.ORCID 0000-0001-6025-4318
Moffitt Cancer Center · USThe University of Texas MD Anderson Cancer Center · USMicropharma (Canada) · CA

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI Christine O'Connell · 1998 to 2026
$93.5M
Vascular Leukocytes Influence the Tumor MicroenvironmentR01CA124515 · NCI · WISTAR INSTITUTE · PI Jose R Conejo-Garcia · 2007 to 2026
$7.1M
Targetable epigenetic mechanism driving Cutaneous T cell LymphomaR01CA240434 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI CONEJO-GARCIA, JOSE R, PINILLA, JAVIER · 2019 to 2023
$2.6M
Functional reprogramming of tumor-MDSC through antibody-based therapies targeting Notch ligandsR01CA233512 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI RODRIGUEZ, PAULO CESAR · 2019 to 2023
$2.0M
NCI NIH HHS P30 CA076292NCI NIH HHS R01 CA124515NCI NIH HHS R01 CA233512NCI NIH HHS R01 CA240434NIH HHS R01CA240434
6 · The paper itself

Abstract

abstractCutaneous T-cell lymphoma (CTCL) is a rare cancer of skin-homing T cells. A subgroup of patients develops large cell transformation with rapid progression to an aggressive lymphoma. Here, we investigated the transformed CTCL (tCTCL) tumor ecosystem using integrative multiomics spanning whole-exome sequencing (WES), single-cell RNA sequencing, and immune profiling in a unique cohort of 56 patients. WES of 70 skin biopsies showed high tumor mutation burden, UV signatures that are prognostic for survival, exome-based driver events, and most recurrently mutated pathways in tCTCL. Single-cell profiling of 16 tCTCL skin biopsies identified a core oncogenic program with metabolic reprogramming toward oxidative phosphorylation (OXPHOS), cellular plasticity, upregulation of MYC and E2F activities, and downregulation of MHC I suggestive of immune escape. Pharmacologic perturbation using OXPHOS and MYC inhibitors demonstrated potent antitumor activities, whereas immune profiling provided in situ evidence of intercellular communications between malignant T cells expressing macrophage migration inhibitory factor and macrophages and B cells expressing CD74. SIGNIFICANCE: Our study contributes a key resource to the community with the largest collection of tCTCL biopsies that are difficult to obtain. The multiomics data herein provide the first comprehensive compendium of genomic alterations in tCTCL and identify potential prognostic signatures and novel therapeutic targets for an incurable T-cell lymphoma. This article is highlighted in the In This Issue feature, p. 1171.

Indexed as

Lymphoma, T-Cell, CutaneousSkin NeoplasmsCell Transformation, NeoplasticEcosystemGenomicsHumans

Identifiers

PMID35247891
PMCPMC9148441
OpenAlexW4220804957

What OpenQuestion holds

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LicenceTDM
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.