Evidence map›Paper›PMID 36597488›Full record

ArticleBreast cancer (Dove Medical Press)2022

Whole Genome Sequencing of Single-Circulating Tumor Cell Ameliorates Unraveling Breast Cancer Heterogeneity.

Yongping Li, Xiaofei Jiang, Ming Zhong, Bo Yu, Hao Yuan

Open access · goldAbstract read
In one paragraph

Article in Breast cancer (Dove Medical Press), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Clinical significances ofBiomedical reports · 2025
    Article
  2. Review
  3. 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 at 2 institutions in 1 country.

Yongping LiDepartment of Breast Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, People's Republic of China.
Xiaofei JiangDepartment of Breast Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, People's Republic of China.
Ming ZhongDepartment of Breast Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, People's Republic of China.
Bo YuDepartment of Vascular Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, People's Republic of China.
Hao YuanDepartment of Breast Surgery, Shanghai Pudong Hospital, Fudan University Pudong Medical Center, Shanghai, 201399, People's Republic of China.
Fudan University · CNPudong Medical Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Because tumor tissues are most frequently heterogeneous and hard to characterize, the resulting therapeutic strategy could be misled. The most active and invasive tumor cells are circulating tumor cells (CTCs). In this study, we investigated the feasibility of individualized treatment of breast cancer patients based on whole genome sequencing (WGS) of single cell CTC. Methods: Twenty-four CTCs were identified in three breast cancer patients. For each patient, one polyploid CTC was captured, and on which the WGS was performed. WGS was considered due to its sequencing robustness compared to conventional sequencing approaches. Based on the histopathological Her-2 status in tumor tissue and the Results: Patients ID1 and ID2 are found to be Her-2 positive in primary tumors and Conclusion: The results of CTC sequencing effectively guided the treatment of a patient with

Indexed as

breast cancerHER2 geneheterogeneitysingle circulating tumor cellwhole genome sequencing

Identifiers

PMID36597488
PMCPMC9805725
OpenAlexW4313247985

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.