Evidence map›Paper›PMID 33869255›Full record

ArticleFrontiers in medicine2021

Mutant Allele Frequency-Based Intra-Tumoral Genetic Heterogeneity Related to the Tumor Shrinkage Mode After Neoadjuvant Chemotherapy in Breast Cancer Patients.

Chun-Hui Zheng, Zhao-Yun Liu, Chen-Xi Yuan, Xiao-Yun Dong, Hai-Mei Li, Jin-Jin Wang, Zhao-Peng Zhang, Hong-Ying Liu, Xiao-Yan Ding, Wendy Wu and 2 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Chun-Hui ZhengBreast Cancer Center, Shandong Cancer Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Zhao-Yun LiuBreast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.
Chen-Xi YuanDepartment of Radiation Oncology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China.
Xiao-Yun DongGenetics Department in School of Bioscience and Technology, Weifang Medical University, Weifang, China.
Hai-Mei LiDepartment of Molecular Biology in School of Bioscience and Technology, Weifang Medical University, Weifang, China.
Jin-Jin WangBerry Oncology Corporation, Digital Fujian Park, Fuzhou, China.
Zhao-Peng ZhangBreast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.
Hong-Ying LiuGenetics Department in School of Bioscience and Technology, Weifang Medical University, Weifang, China.
Xiao-Yan DingDepartment of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnostics in Universities of Shandong, Weifang Medical University, Weifang, China.
Wendy WuBerry Oncology Corporation, Digital Fujian Park, Fuzhou, China.
Rui-Ru WangBerry Oncology Corporation, Digital Fujian Park, Fuzhou, China.
Yong-Sheng WangBreast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The shrinkage mode of tumor extent after neoadjuvant chemotherapy (NAC) is an important index to evaluate the odds of breast-conserving surgery. However, there is no sufficient measurement to predict the shrinkage mode after NAC. In this study, we analyzed 24 patients' formalin-fixed, paraffin-embedded samples before and after treatment and analyzed 456 cancer-related genes panel by using target next-generation sequencing. Meanwhile, the pathological shrinkage mode was reconstructed in three dimensions after surgery, and the genetic heterogeneity level was estimated by mutant-allele tumor heterogeneity (MATH). We measured the genetic intra-tumor heterogeneity and explored its correlation with the shrinkage mode after NAC. A total of 17 matched pair samples of primary tumor tissue and residual tumor tissue were successfully accessed. It was found that the most common mutated genes were TP53 and PIK3CA in both samples before and after NAC, and no recurrent mutations were significantly associated with the shrinkage mode. Besides, the MATH value of formalin-fixed, paraffin-embedded samples before and after NAC was analyzed by the area under the curve of the receiver operating characteristic, and it is feasible to classify patients into concentric shrinkage mode and non-concentric shrinkage mode in NAC based on the MATH threshold of 58. Our findings indicate that the MATH value was associated with the shrinkage mode of breast cancer in a non-linear model. Patients with the MATH value below the threshold of 58 before and after NAC displayed a concentric shrinkage mode. The area under the curve was 0.89, with a sensitivity of 0.69 and specificity of 1. Our study might provide a promising application of intra-tumor heterogeneity that is measured by MATH to make a choice of surgery.

Indexed as

breast cancergene heterogeneityneoadjuvant chemotherapynext generation sequencingshrinkage mode

Identifiers

PMID33869255
PMCPMC8044356

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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.