Evidence map›Paper›PMID 33983581›Full record

ArticleAdvances in experimental medicine and biology2021

Advances in Tumor Sampling and Sequencing in Breast Cancer and their Application in Precision Diagnostics and Therapeutics.

Amos Chungwon Lee, Han-Byoel Lee, Huiran Yeom, Seo Woo Song, Su Deok Kim, Ahyoun Choi, Sumin Lee, Yongju Lee, Wonshik Han, Sunghoon Kwon

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Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Amos Chungwon Lee *Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea.
Han-Byoel Lee *Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea.
Huiran YeomDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea.
Seo Woo SongBio-MAX Institute, Seoul National University, Seoul, South Korea.
Su Deok KimDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea.
Ahyoun ChoiInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea.
Sumin LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea.
Yongju LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea.
Wonshik HanDepartment of Surgery, Seoul National University College of Medicine, Seoul, South Korea. hanw@snu.ac.kr.
Sunghoon KwonInterdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea. skwon@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intra- and Inter-tumoral heterogeneity is one of the main hurdles in diagnosing and treating breast cancer. Selecting, sampling, and sequencing the samples appropriately provide unique opportunities in realizing precision medicine. This chapter reviews some of the past landmarks, state-of-the-art technologies, and future directions of translational research in terms of tumor sampling technologies and sequencing in breast cancer. In the state-of-the-art technologies section, the technologies are categorized in terms of scientific, precision diagnostic, and precision therapeutic tools. Finally, limitations and future directions regarding various translational research for clinical applications using these technologies will be discussed.

Indexed as

Breast NeoplasmsBiomarkers, TumorHigh-Throughput Nucleotide SequencingHumansPrecision MedicineTranslational Research, BiomedicalBiomarkers, TumorCirculating tumor cellsCirculating tumor DNADrug screeningLaser-induced cell sortingLiquid biopsySingle-cell sequencingSpatially resolved sequencingTumor heterogeneity

Identifiers

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.