Evidence map›Paper›PMID 37255415›Full record

ArticleMolecular cancer research : MCR2023

A Comparative Study of Neuroendocrine Heterogeneity in Small Cell Lung Cancer and Neuroblastoma.

Ling Cai, Ralph J DeBerardinis, Yang Xie, John D Minna, Guanghua Xiao

Abstract read
In one paragraph

Article in Molecular cancer research : MCR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
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

5 authors.

Ling CaiQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-8592-5269
Ralph J DeBerardinisChildren's Research Institute, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-2705-7432
Yang XieQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0001-9456-1762
John D MinnaSimmons Comprehensive Cancer Center, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0002-7776-0767
Guanghua XiaoQuantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, Dallas, Texas.ORCID 0000-0001-9387-9883

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Sandi Leigh Pruitt · 2010 to 2026
$53.7M
Coordinating center for the NCI small cell lung cancer research consortiumU24CA213274 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Lauren Averett Byers, JOHN D. MINNA · 2017 to 2026
$12.9M
Metabolic Regulators of Tumor Growth and ProgressionR35CA220449 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI RALPH J DEBERARDINIS · 2017 to 2026
$9.4M
Deep Learning Image Analysis Algorithms to Improve Oral Cancer Risk Assessment for Oral Potentially Malignant DisordersR01DE030656 · NIDCR · YALE UNIVERSITY · PI PICKERING, CURTIS, XIAO, GUANGHUA · 2021 to 2025
$3.4M
Finding the optimal balance of immunotherapy efficacy and toxicity.U01AI156189 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC, WAKELAND, EDWARD K. · 2020 to 2024
$3.1M
Developing ASCL1 and NeuroD1 lineage oncogene targeted therapy for small cell lung cancerU01CA213338 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MINNA, JOHN D. · 2017 to 2021
$3.0M
Novel computational approaches to predict drug response and combination effectsR35GM136375 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIE, YANG · 2020 to 2024
$2.0M
Developing computational algorithms for histopathological image analysisR01GM140012 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2024
$1.6M
Informatics Tools To Analyze And Model Whole Slide Image Data At The Single Cell LevelU01CA249245 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2023
$1.5M
Developing novel algorithms for spatial molecular profiling technologiesR01GM141519 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI XIAO, GUANGHUA · 2021 to 2024
$1.4M
NCI NIH HHS P30 CA142543NCI NIH HHS P50 CA070907NCI NIH HHS R35 CA220449NCI NIH HHS U01 CA213338NCI NIH HHS U01 CA249245NCI NIH HHS U24 CA213274NIAID NIH HHS U01 AI156189NIDCR NIH HHS R01 DE030656NIGMS NIH HHS R01 GM140012NIGMS NIH HHS R01 GM141519NIGMS NIH HHS R35 GM136375
6 · The paper itself

Abstract

Lineage plasticity has long been documented in both small cell lung cancer (SCLC) and neuroblastoma, two clinically distinct neuroendocrine (NE) cancers. In this study, we quantified the NE features of cancer as NE scores and performed a systematic comparison of SCLC and neuroblastoma. We found neuroblastoma and SCLC cell lines have highly similar molecular profiles and shared therapeutic sensitivity. In addition, NE heterogeneity was observed at both the inter- and intra-cell line levels. Surprisingly, we did not find a significant association between NE scores and overall survival in SCLC or neuroblastoma. We described many shared and unique NE score-associated features between SCLC and neuroblastoma, including dysregulation of Myc oncogenes, alterations in protein expression, metabolism, drug resistance, and selective gene dependencies. IMPLICATIONS: Our work establishes a reference for molecular changes and vulnerabilities associated with NE to non-NE transdifferentiation through mutual validation of SCLC and neuroblastoma samples.

Indexed as

Carcinoma, NeuroendocrineLung NeoplasmsNeuroblastomaSmall Cell Lung CarcinomaCell LineHumans

Identifiers

PMID37255415
PMCPMC10390888

What OpenQuestion holds

Textmetadata
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.