Evidence map›Paper›PMID 39315546›Full record

ArticleJCI insight2024

Clinical cell-surface targets in metastatic and primary solid cancers.

Marina N Sharifi, Yue Shi, Matthew R Chrostek, S Carson Callahan, Tianfu Shang, Tracy J Berg, Kyle T Helzer, Matthew L Bootsma, Martin Sjöström, Andreas Josefsson and 13 more

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

23 authors.

Marina N SharifiDepartment of Medicine.
Yue ShiDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
Matthew R ChrostekDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
S Carson CallahanDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
Tianfu ShangDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
Tracy J BergDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
Kyle T HelzerDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
Matthew L BootsmaDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
Martin SjöströmDepartment of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden.
Andreas JosefssonWallenberg Center for Molecular Medicine, Urology, Department of Diagnostics and Intervention, Umeå University, Umea, Sweden.
Felix Y FengDepartments of Radiation Oncology, Urology, and Medicine, UCSF, San Francisco, California, USA.
Laura B HuffmanDepartment of Obstetrics and Gynecology and.
Chris SchulteDepartment of Human Oncology, University of Wisconsin, Madison, Wisconsin, USA.
Grace C BlitzerCarbone Cancer Center, and.
Quaovi H SodjiCarbone Cancer Center, and.
Zachary S MorrisCarbone Cancer Center, and.
Vincent T MaDepartment of Medicine.
Labros MeimetisCarbone Cancer Center, and.
David KosoffDepartment of Medicine.
Amy K TaylorDepartment of Medicine.
Aaron M LeBeauCarbone Cancer Center, and.
Joshua M LangDepartment of Medicine.
Shuang G ZhaoCarbone Cancer Center, and.

Funding

DYNAMIC MOLECULAR EVOLUTION OF TREATMENT RESISTANT CANCERDP2CA271832 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ZHAO, SHUANG · 2021 to 2024
$2.3M
NCI NIH HHS DP2 CA271832
6 · The paper itself

Abstract

Therapies against cell-surface targets (CSTs) represent an emerging treatment class in solid malignancies. However, high-throughput investigations of CST expression across cancer types have been reliant on data sets of mostly primary tumors, despite therapeutic use most commonly in metastatic disease. We identified a total of 818 clinical trials of CST therapies with 78 CSTs. We assembled a data set spanning RNA-seq and microarrays in 7,927 benign samples, 16,866 primary tumor samples, and 6,124 metastatic tumor samples. We also utilized single-cell RNA-seq data from 36 benign tissues and 558 primary and metastatic tumor samples, and matched RNA versus protein expression in 29 benign tissue samples, 1,075 tumor samples, and 942 cell lines. High RNA expression accurately predicted high protein expression across CST therapies in benign tissues, tumor samples, and cell lines. We compared metastatic versus primary tumor expression, identified potential opportunities for repositioning, and matched cell lines to tumor types based on CST and global RNA expression. We evaluated single-cell heterogeneity across tumors, and identified rare normal cell subpopulations that may contribute to toxicity. Finally, we identified combinations of CST therapies for which bispecific approaches could improve tumor specificity. This study helps better define the landscape of CST expression in metastatic and primary cancers.

Indexed as

Neoplasm MetastasisNeoplasmsBiomarkers, TumorCell Line, TumorGene Expression Regulation, NeoplasticHumansMolecular Targeted TherapyRNA-SeqSingle-Cell AnalysisBiomarkers, TumorClinical practiceOncology

Identifiers

PMID39315546
PMCPMC11457844

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.