Evidence map›Paper›PMID 33300087›Full record

ArticleJournal of mammary gland biology and neoplasia2020

Methodological Advancements for Investigating Intra-tumoral Heterogeneity in Breast Cancer at the Bench and Bedside.

Mokryun Baek, Jeffrey T Chang, Gloria V Echeverria

Abstract read
In one paragraph

Article in Journal of mammary gland biology and neoplasia, 2020. 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. Article
  6. Article
  7. Review
  8. Unraveling the Breast: Advances in Mammary Biology and Cancer Methods.Journal of mammary gland biology and neoplasia · 2020
    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

3 authors.

Mokryun BaekLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA.
Jeffrey T ChangDepartment of Pharmacology and Integrative Biology, University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Gloria V EcheverriaLester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, 77030, USA. gloria.echeverria@bcm.edu.

Funding

Project 2: Targeting Cooperative Phenotypes Common in Spatial HeterogeneityU54CA209978 · NCI · UNIVERSITY OF UTAH · PI MOOS, PHILIP J · 2017 to 2021
$10.5M
Characterizing and targeting intra-tumor heterogeneity in triple negative breast cancer chemoresistance and multi-organ metastasisK22CA241113 · NCI · BAYLOR COLLEGE OF MEDICINE · PI ECHEVERRIA, GLORIA VITTONE · 2020 to 2022
$473k
Cancer Prevention and Research Institute of Texas RP160710Cancer Prevention and Research Institute of Texas RP170668Cancer Prevention and Research Institute of Texas RR200009NCI NIH HHS 1K22CA 241113-01NCI NIH HHS K22 CA241113NCI NIH HHS U54 CA209978NCI NIH HHS U54CA209978
6 · The paper itself

Abstract

There is a major need to overcome therapeutic resistance and metastasis that eventually arises in many breast cancer patients. Therapy resistant and metastatic tumors are increasingly recognized to possess intra-tumoral heterogeneity (ITH), a diversity of cells within an individual tumor. First hypothesized in the 1970s, the possibility that this complex ITH may endow tumors with adaptability and evolvability to metastasize and evade therapies is now supported by multiple lines of evidence. Our understanding of ITH has been driven by recent methodological advances including next-generation sequencing, computational modeling, lineage tracing, single-cell technologies, and multiplexed in situ approaches. These have been applied across a range of specimens, including patient tumor biopsies, liquid biopsies, cultured cell lines, and mouse models. In this review, we discuss these approaches and how they have deepened our understanding of the mechanistic origins of ITH amongst tumor cells, including stem cell-like differentiation hierarchies and Darwinian evolution, and the functional role for ITH in breast cancer progression. While ITH presents a challenge for combating tumor evolution, in-depth analyses of ITH in clinical biopsies and laboratory models hold promise to elucidate therapeutic strategies that should ultimately improve outcomes for breast cancer patients.

Indexed as

AnimalsAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBiopsyBreastBreast NeoplasmsCell Line, TumorDisease Models, AnimalDisease ProgressionDNA Mutational AnalysisDrug Resistance, NeoplasmFemaleGenetic HeterogeneityHumansMammary Glands, AnimalMiceBiomarkers, Tumor

Identifiers

PMID33300087
PMCPMC7960623

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.