Literature DB >> 36228409

Red blood cell distribution width and renal cell carcinoma: A comparative analysis of peer-reviewed studies.

John L Frater1, M Yadira Hurley2.   

Abstract

Entities:  

Year:  2022        PMID: 36228409      PMCID: PMC9557022          DOI: 10.1016/j.tranon.2022.101558

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.803


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Dear editors We read the article entitled “Preoperative red blood cell distribution width as an independent prognostic factor in metastatic renal cell carcinoma” by Z. Wei et al, which has recently been published in Translational Oncology [1]. We thank Wei and colleagues for their contribution to the literature exploring the potential use of the red blood cell distribution width (RDW) as a biomarker in renal cell carcinoma (RCC). We have written this letter to add (1) additional comparative data regarding the utility of the RDW in RCC derived from previous studies reported in the peer-review medical literature and (2) technical comments regarding the practical utilization and limitations of the RDW that would be of interest to the readership of Translational Oncology who are considering the use of the RDW in their clinical practice. Since we used publicly available data, our work did not require ethical board approval. A search was conducted using Medline (PubMed interface), Scopus, and Web of Science for the keywords “renal cell carcinoma” AND “red blood cell distribution width” OR “red cell distribution width” OR ”RDW” without restrictions. The search date was July 25, 2022. We then screened titles and abstracts, and the full text of all potentially relevant articles was obtained. After we identified all relevant studies, we reviewed the reference lists from each paper for additional potentially relevant studies and we searched the PubMed and Google Scholar databases for citations of each paper to identify additional eligible articles. Our search identified seven studies [1], [2], [3], [4], [5], [6], [7] (Table 1), which were conducted in Turkey (n = 3), China (n = 2), Singapore (n = 1), and Poland (n = 1) and were published between 2014–2022. The design of the studies was retrospective cohort (n = 6) or case-control (n = 1), with sample sizes ranging from to 103–687 patients. These studies made claims regarding the potential use for RDW in (1) distinguishing RCC from benign renal lesions (renal cysts) [6]; (2) predicting pathologic features of the tumor (e.g. grade, tumor size, stage) [3], [4], [5], [6], [7]; and (3) predicting clinical behavior, including progression-free survival, overall survival, cancer-specific survival) [1,2,5,7]. The RDW cutoff values for these studies ranged from 13.1–15.65%. Although differences in study design, including the choice to include all RCC patients or to restrict a study to patients with metastatic or nonmetastatic disease, almost certainly contributed to the variability of the cutoff values, the potential role of preanalytical and analytical phase biases in the RDW, which were not reported in any of these studies, may also be a factor.
Table 1

Characteristics of studies analyzing RDW in RCC.

Study (Ref number)YearCountryStudy DesignRCC sample size and special featuresControl group(s), size and clinical featuresAge (y, mean and range)Major finding
Aktepe (2)2021TurkeyRetrospective, cohort104, metastatic diseasenone58 (52–64)RDW > 15.4% associated with lower OS
Arda (3)2018TurkeyRetrospective, cohort103noneNRRDW not associated with FG or tumor size
Kisa (4)2019TurkeyRetrospective, cohort283none61 (25–89)RDW > 15.65% associated with high FG; RDW > 14.3 associated with high stage
Lee (5)2020SingaporeRetrospective, cohort687, nonmetastatic CC RCCnone58.3 ± 11.7RDW ≥ 14.3% associated with high FG, tumor size, no association with CSS
Wang (6)2014ChinaRetrospective, case-control318238, renal cyst56.83 (13–83)High RDW associated with RCC compared to controls; RDW > 13.15% associated with high stage
Wei (1)2022ChinaRetrospective, cohort230, metastatic diseasenone50 (low RDW), 61 (high RDW)RDW > 13.1% associated with reduced PFS and OS
Zyczkowski (7)2017PolandRetrospective, cohort434none62 (54–69)RDW ≥ 13.9% associated with lower CSS, larger tumor size

Abbreviations: RDW - red blood cell distribution width; RCC - renal cell carcinoma; y – years; Ref – reference; OS - overall survival; NR – not reported; FG - Fuhrman grade; CC - clear cell ; CSS - cancer-specific survival; PFS - progression-free survival.

Characteristics of studies analyzing RDW in RCC. Abbreviations: RDW - red blood cell distribution width; RCC - renal cell carcinoma; y – years; Ref – reference; OS - overall survival; NR – not reported; FG - Fuhrman grade; CC - clear cell ; CSS - cancer-specific survival; PFS - progression-free survival. The RDW is reported by all blood analyzers in clinical use as the standard deviation (RDW-SD) or coefficient of variability (RDW-CV) of the red blood cell histogram. The RDW may be biased by several preanalytical variables including time between phlebotomy and analysis, storage temperature, tube type, and transport conditions (e.g. tube transport) [8]. Moreover, since an internationally recognized standard for the RDW does not exist, there is a lack of standardization of the RDW among the different instrumentation manufacturers [9]. The biases introduced by these variables may be sufficient to skew individual results and may be a concern for patient samples with borderline elevated RDWs. In addition, studies with a retrospective design that collected data over a long period from one or more sites may be prone to these confounders. For these reasons, we would recommend that studies reporting the use of complete blood cell count-derived analytes, such as the RDW, report these potential preanalytical and analytical phase variables to (1) indicate that the authors attempted to minimize the impact of these potential sources of bias and (2) allow readers to determine the degree to which the findings could be implemented in their clinical environment. Again, we thank Z. Wei et al. for their contribution to the literature and hope that these additional comments provide useful context to the readership of Translational Oncology who are interested in the clinical application of the RDW. We would welcome a response from the authors, which would give them an opportunity to provide the technical details of their study, in the interest of greater transparency.

Funding

None.

CRediT authorship contribution statement

John L Frater: Conceptualization, Writing – original draft. M Yadira Hurley: Writing – review & editing.

Declaration of Competing Interest

The authors have no conflicts of interest to declare.
  9 in total

1.  Lack of harmonization of red blood cell distribution width (RDW). Evaluation of four hematological analyzers.

Authors:  Giuseppe Lippi; Fernanda Pavesi; Mirco Bardi; Silvia Pipitone
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2.  The Predictive Value of Red Blood Cell Distribution Width for Survival Outcomes of Metastatic Renal Cell Carcinoma Patients Treated with Targeted Therapy.

Authors:  Oktay Halit Aktepe; Deniz Can Guven; Taha Koray Sahin; Hasan Cagri Yildirim; Burcu Celikten; Haci Hasan Yeter; Deniz Yuce; Omer Dizdar; Mustafa Erman
Journal:  Nutr Cancer       Date:  2021-01-25       Impact factor: 2.900

3.  Preoperative red blood cell distribution width as an independent prognostic factor in metastatic renal cell carcinoma.

Authors:  Zongjie Wei; Fan Zhang; Xin Ma; Weiyang He; Xin Gou; Xu Zhang; Yongpeng Xie
Journal:  Transl Oncol       Date:  2022-07-12       Impact factor: 4.803

4.  The Relationship Between Red Cell Distribution Width and Cancer-Specific Survival in Patients With Renal Cell Carcinoma Treated With Partial and Radical Nephrectomy.

Authors:  Marcin Życzkowski; Paweł Rajwa; Ewa Gabrys; Karolina Jakubowska; Ewelina Jantos; Andrzej Paradysz
Journal:  Clin Genitourin Cancer       Date:  2017-12-27       Impact factor: 2.872

5.  Prognostic Significance of Inflammation-associated Blood Cell Markers in Nonmetastatic Clear Cell Renal Cell Carcinoma.

Authors:  Alvin Lee; Han Jie Lee; Hong Hong Huang; Kae Jack Tay; Lui Shiong Lee; Soon Phang Allen Sim; Sun Sien Henry Ho; Shyi Peng John Yuen; Kenneth Chen
Journal:  Clin Genitourin Cancer       Date:  2019-12-04       Impact factor: 2.872

6.  Red cell distribution width is associated with presence, stage, and grade in patients with renal cell carcinoma.

Authors:  Fang-Ming Wang; Gongjun Xu; Yan Zhang; Lu-Lin Ma
Journal:  Dis Markers       Date:  2014-12-16       Impact factor: 3.434

7.  The Role of Hematological Parameters in Predicting Fuhrman Grade and Tumor Stage in Renal Cell Carcinoma Patients Undergoing Nephrectomy.

Authors:  Erdem Kisa; Cem Yucel; Mehmet Zeynel Keskin; Mustafa Karabicak; Mehmet Yigit Yalcin; Ozgur Cakmak; Yusuf Ozlem Ilbey
Journal:  Medicina (Kaunas)       Date:  2019-06-18       Impact factor: 2.430

8.  Re: Hazem Orabi, Lauren Howard, Christopher L. Amling, et al. Red Blood Cell Distribution Width Is Associated with All-cause Mortality but Not Adverse Cancer-specific Outcomes in Men with Clinically Localized Prostate Cancer Treated with Radical Prostatectomy: Findings Based on a Multicenter Shared Equal Access Regional Cancer Hospital Registry. Eur Urol Open Sci 2022;37:106-12.

Authors:  John L Frater
Journal:  Eur Urol Open Sci       Date:  2022-06-14

9.  Valuation of Neutrophil/Lymphocyte Ratio in Renal Cell Carcinoma Grading and Progression.

Authors:  Ersan Arda; Ilkan Yuksel; Basri Cakiroglu; Esra Akdeniz; Nusret Cilesiz
Journal:  Cureus       Date:  2018-01-10
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