Evidence map›Paper›PMID 27615548›Full record

ReviewSeminars in cell & developmental biology2017

Overcome tumor heterogeneity-imposed therapeutic barriers through convergent genomic biomarker discovery: A braided cancer river model of kidney cancer.

James J Hsieh, Brandon J Manley, Nabeela Khan, JianJiong Gao, Maria I Carlo, Emily H Cheng

Open access · greenAbstract readReview
In one paragraph

Review in Seminars in cell & developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
8.5field-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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  16. Cancers · 2019
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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

6 authors at 2 institutions in 1 country.

James J HsiehDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States. Electronic address: hsiehj@mskcc.org.
Brandon J ManleyDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.
Nabeela KhanDepartment of Medicine, State University of New York Downstate Medical Center, Brooklyn, NY11203, United States.
JianJiong GaoKravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.
Maria I CarloDepartment of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.
Emily H ChengHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, United States.
Memorial Sloan Kettering Cancer Center · USState University of New York · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
UROLOGY ONCOLOGY RESEARCH TRAINING GRANTT32CA082088 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Brett Stewart Carver · 1999 to 2026
$7.1M
Integrated Analyses of Taspase 1 (MLL Cleaving Protease)R01CA119008 · NCI · WASHINGTON UNIVERSITY · PI HSIEH, JAMES J · 2006 to 2010
$1.3M
Molecular Mechanisms of Impaired DAN Damage Response in Leukemia PathogenesisR01CA138505 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI HSIEH, JAMES J · 2013 to 2015
$1.0M
Genetic and Biochemical Analyses of MLL CleavageK01CA102594 · NCI · WASHINGTON UNIVERSITY · PI HSIEH, JAMES J-D · 2003 to 2007
$706k
NCI NIH HHS K01 CA102594NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA119008NCI NIH HHS R01 CA138505NCI NIH HHS T32 CA082088
6 · The paper itself

Abstract

Tumor heterogeneity, encompassing genetic, epigenetic, and microenvironmental variables, is extremely complex and presents challenges to cancer diagnosis and therapy. Genomic efforts on genetic intratumor heterogeneity (G-ITH) confirm branched evolution, support the trunk-branch cancer model, and present a seemingly insurmountable obstacle to conquering cancers. G-ITH is conspicuous in clear cell renal cell carcinoma (ccRCC), where its presence complicates identification and validation of biomarkers and thwarts efforts in advancing precision cancer therapeutics. However, long-term clinical benefits on targeted therapy are not uncommon in metastatic ccRCC patients, implicating that there are underlying constraints during ccRCC evolution, which in turn force a nonrandom sequence of parallel gene/pathway/function/phenotype convergence within individual tumors. Accordingly, we proposed a "braided cancer river model" depicting ccRCC evolution, which deduces cancer development based on multiregion tumor genomics of exceptional mTOR inhibitor (mTORi) responders. Furthermore, we employ an outlier case to explore the river model and highlight the importance of "Five NGS Matters: Number, Frequency, Position, Site and Time" in assessing cancer genomics for precision medicine. This mutable cancer river model may capture clinically significant phenotype-convergent events, predict vulnerability/resistance mechanisms, and guide effective therapeutic strategies. Our model originates from studying exceptional responders in ccRCC, which warrants further refinement and future validation concerning its applicability to other cancer types. The goal of this review is employing kidney cancer as an example to illustrate critical issues concerning tumor heterogeneity.

Indexed as

Genetic HeterogeneityGenomicsModels, BiologicalAnimalsBiological EvolutionBiomarkers, TumorHumansKidney NeoplasmsBiomarkers, TumorBraided kidney cancer river modelBranched/divergent evolutionGenomic predictive biomarkerIntermetastases heterogeneity (IMH)Intratumor heterogeneity (ITH)Parallel/convergent gene/pathway/function/phenotype evolutionPrecision medicineTargeted therapy

Identifiers

PMID27615548
PMCPMC5522717
OpenAlexW2519730217

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.