Evidence map›Paper›PMID 36620609›Full record

ArticleFrontiers in oncology2022

A nomogram for predicting the HER2 status of circulating tumor cells and survival analysis in HER2-negative breast cancer.

Yuqin Yang, Liudan Li, Wenjing Tian, Zhen Qiao, Qi Qin, Liqian Su, Peiqiu Li, Weirong Chen, Hong Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

9 authors at 5 institutions in 1 country.

Yuqin YangThe Cancer Center of The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Liudan LiDepartment of Breast Surgery, Zhuhai Maternity and Child Health Hospital, Zhuhai, Guangdong, China.
Wenjing TianThe Cancer Center of The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Zhen QiaoDepartment of Breast Surgery, Zhuhai Maternity and Child Health Hospital, Zhuhai, Guangdong, China.
Qi QinDepartment of Medical Oncology, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan, China.
Liqian SuPrecision Medicine Center of Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China.
Peiqiu LiDepartment of Nephrology, The Fifth Hospital Affiliated of Sun Yat-sen University Zhuhai, Guangdong, China.
Weirong ChenDepartment of Breast Surgery, Zhuhai Maternity and Child Health Hospital, Zhuhai, Guangdong, China.
Hong ZhaoThe Cancer Center of The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Weihai Maternal and Child Health Hospital · CNFifth Affiliated Hospital of Sun Yat-sen University · CNSun Yat-sen University · CNHainan Medical University · CNThird Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In breast cancer patients with HER2-negative tumors (tHER2-), HER2-positive CTCs (cHER2+) were associated with promising efficacy of HER2-targeted therapy, but controversy has persisted over its prognostic effect. We developed a model including clinicopathologic parameters/blood test variables to predict cHER2 status and evaluated the prognostic value of cHER2+ in tHER2- patients. Methods: cHER2+ was detected, blood test results and clinicopathological characteristics were combined, and a nomogram was constructed to predict cHER2 status in tHER2- patients according to logistic regression analysis. The nomogram was evaluated by C-index values and calibration curve. Kaplan-Meier curves, log-rank tests, and Cox regression analyses were performed to evaluate the prognostic value of cHER2 status. Results: TNM stage, white blood cells (WBCs), neutrophils (NEUs), uric acid (UA), De Ritis ratio [aspartate transaminase (AST)/alanine transaminase (ALT)], and high-density lipoprotein (HDL) were found to be associated with cHER2 status in tHER2- patients in univariate logistic regression analysis, in which UA and De Ritis ratio remained significant in multivariate logistic regression analysis. A model combining these six variables was constructed, the C-index was 0.745 (95% CI: 0.630-0.860), and the calibration curve presented a perfect predictive consistency. In survival analysis, patients of the subgroups "with cHER2+/UA-low" ( Conclusions: Our nomogram, based on TNM stage, WBC, NEU, UA, De Ritis ratio, and HDL, may excellently predict the cHER2 status of tHER2- patients. Incorporation with UA and De Ritis ratio may enhance the prognostic value of cHER2 status.

Indexed as

breast cancercirculating tumor cellsde ritis ratioHER2nomogramsurvival analysisuric acid

Identifiers

PMID36620609
PMCPMC9811813
OpenAlexW4313467555

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.