Correction to “Comprehensively Analysis of Splicing Factors to Construct Prognosis Prediction Classifier in Prostate Cancer”

IF 4.2
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引用次数: 0

Abstract

H. Zhang, J. Tian, S. Ren, B. Han, R. Tian, X. Zuo, H. Liu, Z. Wang, Y. Cui, L. Liu, H. Guo, F. Zhang, and R. Niu, “Comprehensively Analysis of Splicing Factors to Construct Prognosis Prediction Classifier in Prostate Cancer,” Journal of Cellular and Molecular Medicine 27, no. 18 (2023): 2684–2700, https://doi.org/10.1111/jcmm.17849.

Concerns were raised by a third party regarding the shape of the ROC curves (Figures 4–6) and the apoptosis measurements in Figure 8 of this article.

As stated by the authors, the observed irregularity in the curve shape results from methodological distinctions between the Kaplan–Meier (KM) and nearest neighbour estimation (NNE) approaches in the ‘survivalROC’ analysis package (R software, version 4.2.1). The selection of KM methodology was based on three considerations: (1) The results of NNE are highly dependent on the choice of span parameter; (2) KM provides reproducible results without parameter tuning requirements; and (3) KM maintains data fidelity despite producing less visually smooth curves. This methodological decision prioritises analytical precision over aesthetic considerations.

Regarding the apoptosis measurements, the main concern was that based on the data presented and the apoptosis detection kit used, it is not possible to clearly distinguish between late apoptotic and necrotic cells. The fraction of cells labelled as ‘necrotic’ in Figure 8G could be an artifact due to mechanical damage of the cell membrane and false positive cytoplasmic RNA staining by PI. Additional technical issues were identified regarding the lack of manual compensation of the FACS samples in Figure 8F, leading to incorrect live, early apoptotic, and late apoptotic cell population percentages; therefore, incorrect FACS analysis results in Figure 8F,G. Hence, the authors were asked to repeat the experiments in question to provide further clarification.

The new results confirmed the conclusions presented in section 3.8 of the published manuscript: ‘down-regulation of both LSM3, DHX16 and NOVA2 induced cell apoptosis in DU145 cells (Figure 8F,G)’ ‘NOVA2 did not affect the apoptosis of PC3 cells, and LSM3 did not associate with the apoptosis in PC3 cells (Figure 8F,G)’, the experimental results and conclusions of the paper remain unaffected.

The corrected Figure 8F,G are as follows:

Abstract Image

对“综合分析剪接因子构建前列腺癌预后预测分类器”的修正
张红,田静,任生,韩波,田仁,左旭,刘红华,王正杰,崔勇,刘丽,郭红,张峰,牛仁,“基于剪接因子的前列腺癌预后预测分类器的综合分析”,《细胞与分子医学杂志》,第27期。18 (2023): 2684-2700, https://doi.org/10.1111/jcmm.17849.Concerns由第三方就本文的ROC曲线形状(图4-6)和图8中的细胞凋亡测量提出。正如作者所述,观察到的曲线形状的不规则性是由于“生存roc”分析包(R软件,版本4.2.1)中Kaplan-Meier (KM)和最近邻估计(NNE)方法之间的方法差异造成的。KM方法的选择基于三个方面的考虑:(1)NNE的结果高度依赖于跨度参数的选择;(2) KM提供可重复的结果,无需参数调整要求;(3) KM保持了数据的保真度,尽管产生的视觉上不太光滑的曲线。这种方法上的决定优先考虑分析的精确性,而不是美学考虑。关于细胞凋亡的测量,主要关注的是基于所提供的数据和使用的细胞凋亡检测试剂盒,不可能明确区分晚期凋亡和坏死细胞。图8G中标记为“坏死”的细胞部分可能是由于细胞膜的机械损伤和PI细胞质RNA染色假阳性造成的伪影。图8F中FACS样品缺乏人工补偿,导致不正确的活细胞、早期凋亡和晚期凋亡细胞群体百分比,还发现了其他技术问题;因此,不正确的FACS分析结果如图8F、G所示。因此,作者被要求重复有关实验,以提供进一步的澄清。新结果证实了已发表稿件3.8部分的结论:“下调LSM3、DHX16和NOVA2均诱导DU145细胞凋亡(图8F,G)”“NOVA2不影响PC3细胞凋亡,LSM3不与PC3细胞凋亡相关(图8F,G)”,本文的实验结果和结论不受影响。更正后的图8F、G如下:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
11.50
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0.00%
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期刊介绍: The Journal of Cellular and Molecular Medicine serves as a bridge between physiology and cellular medicine, as well as molecular biology and molecular therapeutics. With a 20-year history, the journal adopts an interdisciplinary approach to showcase innovative discoveries. It publishes research aimed at advancing the collective understanding of the cellular and molecular mechanisms underlying diseases. The journal emphasizes translational studies that translate this knowledge into therapeutic strategies. Being fully open access, the journal is accessible to all readers.
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