Abstract
The association between anemia and outcomes in glioblastoma patients is unclear. We analyzed data from 1346 histologically confirmed adult glioblastoma patients in the TriNetX Research Network. Median hemoglobin and hematocrit levels were quantified for 6 months following diagnosis and used to classify patients as anemic or non-anemic. Associations of anemia and iron supplementation of anemic patients with median overall survival (median-OS) were then studied. Among 1346 glioblastoma patients, 35.9% of male and 40.5% of female patients were classified as anemic using hemoglobin-based WHO guidelines. Among males, anemia was associated with reduced median-OS compared to matched non-anemic males using hemoglobin (HR 1.24; 95% CI 1.00–1.53) or hematocrit-based cutoffs (HR 1.28; 95% CI 1.03–1.59). Among females, anemia was not associated with median-OS using hemoglobin (HR 1.00; 95% CI 0.78–1.27) or hematocrit-based cutoffs (HR: 1.10; 95% CI 0.85–1.41). Iron supplementation of anemic females trended toward increased median-OS (HR 0.61; 95% CI 0.32–1.19) although failing to reach statistical significance whereas no significant association was found in anemic males (HR 0.85; 95% CI 0.41–1.75). Functional transferrin-binding assays confirmed sexually dimorphic binding in resected patient samples indicating underlying differences in iron biology. Anemia among glioblastoma patients exhibits a sex-specific association with survival.
Similar content being viewed by others
Introduction
Glioblastoma remains one of the most difficult-to-treat malignancies facing modern oncology. Despite maximal treatment with surgical resection, chemotherapy, and radiation, patients face poor prognosis with 5-year survival rates of less than 10%1. Given these poor outcomes, more research is urgently needed to better understand the underlying biological processes driving glioblastoma tumor progression and poor patient outcomes.
Anemia is a common yet undertreated condition with global prevalence estimates as high as 22.8% and even higher prevalence in older individuals, females, and those with chronic diseases such as cancer2. The underlying cause of anemia varies by country and degree of development, but iron deficiency remains the most common cause of anemia globally, including in developed countries2. Among cancer patients, functional iron deficiency anemia is the most common cause and thought to be brought about by the inflammatory nature of the tumor as well as through the side effects of cancer treatment3.
The biological effects of anemia and its downstream consequences on human pathophysiology are closely intertwined with oxygen delivery to tumor and surrounding tissues. It has been reported that anemia is directly associated with reduced tumor oxygenation in several different types of cancers. In breast cancer, for example, Vaupel et al.4 found that hemoglobin concentration linearly correlated with tumor oxygenation. Reduction of oxygen delivery to tumor and tissues is known to stabilize hypoxia-inducible factors which subsequently act as transcription factors leading to a wide variety of phenotypic changes5. Several specific examples of the consequences of hypoxic signaling include: increased angiogenesis via enhanced vascular endothelial growth factor (VEGF) secretion6, promotion of an immunosuppressive microenvironment by reprogramming of tumor-associated macrophages7, increased activation of myeloid-derived suppressor cells8, and inhibition of T-cell mediated ant-tumor immunity9,10. Anemia-induced hypoxia may also contribute to treatment resistance given the necessity of molecular oxygen for optimal radiotherapy11. Upregulation of drug transporters and inhibition of apoptotic pathways that contribute to treatment resistance has also been reported to be associated with tumor hypxoia12. Unsurprisingly, anemia has been unfavorably associated with the progression of numerous types of malignancies including breast13, colorectal14,15, lung16, and urologic cancers17.
Although the existing literature make a compelling argument as to why correcting anemia could be favorable, the field of tumor iron biology has put forward arguments against providing iron to tumors. Iron is a critical factor for functions that enhance cancer cell growth and tumorigenesis such as DNA synthesis, increased oxidative metabolism and induced autophagy18,19,20. Transcriptomic profiling has also suggested that profiles supporting iron acquisition may be associated with more aggressive phenotypes21. Nonetheless, recent work has also highlighted novel aspects of iron biology that may support an anti-tumor role including the promotion of cancer cell ferroptosis22, inhibition of glioblastoma cell migration23, and promotion of anti-tumor immunity24.
The conflicting arguments between correcting anemia and iron supplementation described above may explain why there are few studies examining anemia, iron supplementation, and outcomes among glioblastoma patients. And given the large disparity between males and females in anemia status in general, clarifying the role of anemia and iron supplementation of anemic patients could provide actionable approaches to improving outcomes in a sex-specific manner. Here we provide the largest analysis of the association between anemia, iron supplementation of anemic patients, and sex-specific glioblastoma survival outcomes to date.
Methods
Database and patient cohort
The TriNetX Research Network is a large, federated database containing de-identified data derived from the electronic health records of patients treated in more than 50 healthcare organizations (HCOs) in the United States. The records of 1346 histologically confirmed glioblastoma patients diagnosed between 2005 and 2020 were downloaded from the TriNetX Research Network and used for the analysis reported here. Criteria for inclusion in the analysis were: 18 years of age or older at time of diagnosis, no previous diagnosis of glioblastoma, underwent surgery and had record of histologically confirmed glioblastoma, received at least one hemoglobin, hematocrit, mean corpuscular volume, and white blood cell count lab results on the day of, or within 6 months following glioblastoma diagnosis.
Classification of anemia and quantification of comorbidities and therapeutics
Logical Observation Identifiers, Names and Codes (LOINC) or TriNetX (TNX) codes were used to identify hemoglobin, hematocrit, mean corpuscular volume, and white blood cell count lab values in each patient’s record from the day of diagnosis to 6 months afterward (Supplementary Table 8). Median hemoglobin and hematocrit levels were calculated for each patient for this time period and used to classify patients as anemic or non-anemic. World Health Organization hemoglobin cutoffs for anemia of 13 g/dL for male and 12 g/dL for female patients were used25. Hematocrit cutoffs of 39% for male and 36% for female patients were used as alternate criteria for anemic classification. Comorbidities before glioblastoma diagnosis were identified using ICD-9 and ICD-10 codes (Supplementary Table 6) in the patient record, and a Charlson Comorbidity Index for each patient was calculated using the comorbidity prevalence as described previously26. Patients were identified as having received chemotherapy using RxNorm codes for temozolomide, carmustine, or lomustine. Anemic patients were identified as having received an iron supplement using RxNorm codes for a panel of iron compounds (Supplementary Table 7). Patients were considered to have been iron supplemented if the iron supplement was received within 5 years before or 6 months after diagnosis.
Statistical analysis
All analysis was performed using R version 3.6.3. For the analysis of anemic status and association with median-OS by sex, to account for potential confounders, anemic versus non-anemic cohorts were balanced for the covariates of age at diagnosis, Charlson comorbidity index, whether patients received chemotherapy and/or radiation, time interval from diagnosis to initiation of chemotherapy and/or radiation, white blood cell counts, number of hemoglobin measurements (to account for possible differences in care received between those with a few measurements versus those with much higher measurements), and comorbidities using 1:1 propensity score matching with logistic-regression-based distance calculation and nearest-neighbor matching without replacement and with a caliper distance of 0.1 standard deviation of the logit propensity score using the MatchIt package in R27. Balance was assessed by examining the absolute standardized mean differences between the covariates of the anemic versus non-anemic cohorts using the cobalt package in R (Supplementary Fig. 1A–D)28,29. Balance was also assessed by statistical testing of the covariates before and after matching (Tables 1, 2, Supplementary Tables S1, S2). For the analysis of iron supplementation of anemic patients by sex, because of limited sample size, cohorts were balanced only for age at diagnosis, Charlson comorbidity index, and whether patients received chemotherapy and/or radiation (Supplementary Fig. 1E,F). To account for immortal time bias in iron supplemented patients, follow up for patients in the iron supplementation group was adjusted to the date of prescription if the date of first prescription was subsequent to the date of glioblastoma diagnosis as suggested by Zhou et al.30. Survival by sex was assessed using the survival and survminer packages in R with log-rank tests and Cox regression with robust variance estimation to evaluate differences in survival31,32,33.
Transferrin binding assay
Resected human glioblastoma samples from six male and six female patients were utilized for transferrin binding assays adapted from previously described protocols34. The samples were retrieved from the Penn State Hershey Neuroscience Institute Biorepository under an approved institutional review board protocol (IRB #2914). The samples were minced and homogenized in 0.3 M sucrose (VWR Chemicals). Homogenates were centrifuged at 800 × g for 20 min to remove large debris. Supernatants were collected and further centrifuged at 120,000 × g for 1 h and resulting pellets were re-suspended in potassium phosphate buffer supplemented with 10% glycerol (Fisher-Scientific) to isolate plasma membrane extracts. 125I-tagged human transferrin (Sigma-Aldrich) was subsequently added to 20 µg of plasma membrane extract in a 96-well filter plate (Millipore-Sigma) and allowed to incubate for 1 h at room temperature. The reaction was then terminated by addition of ice-cold PBS and the mixture was subsequently vacuum filtered using 0.2 µm hydrophilic membranes. Filters were then washed three times with ice-cold PBS to remove unbound radiolabeled transferrin. Radioactivity in the filters was then quantified using a Beckman Gamma 4000 Analyzer.
Ethics approval and consent to participate
Patient samples utilized in this study were retrieved following a Penn State IRB approved protocol with informed patient consent and fully de-identified prior to distribution to the research team. All clinical data used in this manuscript were obtained fully de-identified. This research was conducted in accordance with the Declaration of Helsinki.
Results
Baseline patient characteristics
Among the 1346 glioblastoma patients in our cohort there were more males than females (781 vs. 565). Males had higher hemoglobin, (13.32 g/dL vs. 12.11 g/dL, P < 0.001), hematocrit (39.57% vs. 36.47%, P < 0.001), and white blood cell counts (9.58 × 109/L vs. 9.03 × 109/L, P = 0.024) compared to females (Fig. 1A and Supplementary Table 5). Males were also more likely to have smoked (50.6% vs. 36.8%, P < 0.001) or have abused alcohol (9.9% vs. 3.5%, P < 0.001) compared to females. Females were more likely to have had rheumatic diseases (3.5% vs. 0.8%, P < 0.001) compared to males (Supplementary Table 5).
Among the 565 females, 229 (40.5%) met the criteria for anemia using WHO guidelines of 12 g/dL for females. Among the 781 males, 280 (35.9%) met the criteria for anemia using WHO guidelines of 13 g/dL for males. Of the 229 anemic females, 34 (14.8%) were found to have received an iron supplement within 5 years prior or 6 months after glioblastoma diagnosis and 29 (10.4%) of the 280 anemic males were found to have received an iron supplement (Fig. 1B).
Anemia in male patients is associated with reduced median overall survival
The association of anemia with median overall survival (m-OS) was assessed after classifying patients as anemic using WHO based hemoglobin cutoffs of 12 g/dL for females and 13 g/dL for males. To account for baseline differences between the anemic and non-anemic patients, the two cohorts were balanced using propensity score matching. After matching, balance between anemic and non-anemic cohorts was assessed for age at diagnosis, Charlson comorbidity index, white blood cell counts, total number of hemoglobin measurements, whether patients received chemotherapy and/or radiation, time interval between diagnosis to initiation of chemotherapy and/or radiation, and systemic comorbidities. The cohorts were found to be acceptably balanced using the commonly accepted threshold of 0.1 absolute mean standardized difference between covariates (Supplementary Fig. 1A,B) or by statistical testing (Tables 1, 2, Supplementary Tables 1, 2). Survival between balanced anemic and non-anemic cohorts stratified by sex was then assessed using Kaplan–Meier curves, log-rank testing, and univariate Cox regression with robust variance estimation. No association was found between anemia and median-OS in females (median-OS 15.6 vs. 16.6 months, P = 0.989, HR 1.00; 95% CI 0.78–1.27) (Fig. 2A,B) but anemia was found to be associated with reduced median-OS in males (median-OS 12.8 vs. 16.0 months, P = 0.049, HR 1.24; 95% CI 1.00–1.53) (Fig. 2C,D).
As an alternate to hemoglobin-based guidelines of anemia, hematocrit was used as the parameter for anemia classification. A hematocrit of 39% was defined as the anemia cutoff for males and 36% for females. After balancing cohorts as described above, balance was assessed and verified to be acceptable for all covariates apart from smoking status and rheumatic disease in males which had SMD slightly greater than 0.1 but acceptable balance on statistical testing (Supplementary Fig. 1C,D and Supplementary Tables 1 and 2). Sex-stratified Kaplan–Meier analysis, log-rank testing, and univariate Cox regression with robust variance estimation again revealed no association of anemia and median-OS in females patients (median survival 14.9 vs. 17.9 months, P = 0.476, HR 1.10; 95% CI 0.85–1.41) (Fig. 3A,B) but a strong association of anemia and reduced median-OS in males (median-OS 13.0 vs. 16.8 months, P = 0.025, HR 1.28; 95% CI 1.03–1.59) (Fig. 3C,D).
Iron supplementation is associated with a trend toward improved survival in anemic female patients
We next investigated whether iron supplementation of anemic patients may be associated with survival. Among 280 anemic males, 29 (10.4%) were found to have received an iron supplement. Among the 229 anemic females, 34 (14.8%) received an iron supplement. The iron supplemented and non-supplemented patient cohorts were then stratified by sex and balanced for age at diagnosis, Charlson score, and whether patients received chemotherapy and radiation using propensity score matching to reduce bias. Because of limitations in sample size, balance was assessed only for age at diagnosis, Charlson comorbidity index, and whether patients received chemotherapy and/or radiation (Supplementary Fig. 1E,F). While there is insufficient sample size in the number of iron supplemented patients to achieve balance on every individual comorbidity, balance was achieved in the Charlson comorbidity index which serves as a general measure of baseline health of the patient cohort35. Performing sex-stratified Kaplan–Meier analysis and univariate Cox regression with robust variance estimation on the matched cohorts revealed that iron supplementation was associated with a trend toward prolonged survival in females although failing to reach statistical significance (median-OS 18.6 vs. 12.8 months, P = 0.147, HR 0.61; 95% CI 0.32–1.19) whereas no significant association was found in males after matching (median-OS 13.1 vs. 13.5 months, P = 0.650, HR 0.85; 95% CI 0.41–1.75) (Fig. 4).
Male glioblastoma tumors exhibit increased transferrin binding
Since sexual dimorphism was observed for both our analysis on anemia and iron supplementation, we hypothesized that there may be intrinsic differences in transferrin binding capacity between male and female tumors. To assess this, radiolabeled transferrin binding assays were performed on resected patient tumors. Since transferrin binding is tightly regulated by iron content, assessment of transferrin binding capacity of tissues represents a functional measure of tissue iron content36,37. Briefly, plasma membrane fractions of resected human glioblastoma samples were isolated and incubated with 125I-labeled transferrin. We found that plasma membrane fractions from male tumors bound significantly more transferrin per milligram of tissue compared to female tumor samples (Fig. 5). Of note, given that transferrin receptor is also highly expressed on endothelial cells, we cannot rule out that the male tumors may have had increased vascularization compared to the female tumors, however this would also suggest a mechanism where male tumors may have access to more iron38.
Discussion
Anemia is a highly prevalent condition that is commonly found in cancer patients and often exacerbated by cancer treatment2,3. The role of anemia in glioblastoma patient outcomes is unclear with previous analyses being limited in number and reporting conflicting results. Some studies have found no association between anemia and survival39, while others have found a negative association of anemia with survival among glioblastoma patients40,41,42,43. These studies are summarized in Table 3 and reviewed in greater detail elsewhere44. Of note, these studies have been limited to single institutions and smaller patient cohorts with insufficient size to study sex as a biological variable. Here we report the largest, multi-center, analysis into the association of anemia and survival among adult glioblastoma patients to date. In our analysis of 1346 glioblastoma patients, we found that anemia within the 6 months following diagnosis was associated with reduced survival in male but not in female glioblastoma patients. We further investigated associations of iron supplementation with outcomes among anemic glioblastoma patients and found that supplementation of anemic female patients was associated with a trend toward prolonged survival although failing to reach significance, while no such association was found among anemic male patients.
The sexually dimorphic association of anemia with survival in our study raises interesting questions regarding the interplay of sex and tumor biology. Sexual dimorphism in glioblastoma has been well documented with males typically having higher incidence and poorer survival compared to females1. The analysis of transferrin binding to male and female tumors identified a potential underlying process contributing to the sexually dimorphic associations of anemia and iron supplementation with survival. Assessment of transferrin-binding capacity represents a functional measure of iron content in tumor tissues. When iron levels are low, transferrin receptor expression is elevated and vice-versa36,37. We found that membrane fractions from male tumors bound significantly more transferrin which is consistent with decreased iron stores in male tumors. The elevated transferrin binding in male tumors may represent an attempt by the tumor to increase iron acquisition due to decreased iron stores and is consistent with our observation that anemia seems to have a larger effect on male outcomes compared to female outcomes.
We also performed an analysis into associations between iron supplementation of anemic patients and median overall survival. After balancing iron supplemented and non-supplemented cohorts for age at diagnosis, Charlson Comorbidity Index, and whether chemotherapy and radiation were received, we found that iron supplementation in the period surrounding or after glioblastoma diagnosis was associated with a trend toward prolonged survival in females but not in males. Previous studies have suggested that iron supplementation, especially in combination with erythropoietin-stimulating agents, may be an effective approach at managing both absolute iron deficiency anemia as well as chemotherapy-induced functional anemia, but these studies did not investigate sex-differences in the context of glioblastoma45,46. Underlying differences in the etiology of the anemia between the sexes in our cohort may also contribute to the sexually dimorphic trends observed in the analysis on iron supplementation. Supporting this theory, we note that in our hemoglobin-stratified analysis, anemic female patients had a lower MCV than non-anemic female patients (Table 1: 89.68 vs. 91.44; P = 0.002) whereas no significant difference in MCV was found in the comparison between anemic versus non-anemic males (Table 2: 90.47 vs. 91.06; P = 0.234), suggesting that iron deficiency may contribute to a larger portion of the anemia observed in the female cohort compared to the male cohort and thus be more amenable to iron supplementation.
Many iron-related disorders including hereditary hemochromatosis and iron deficiency anemia exhibit marked sexual dimorphism in terms of incidence, age of onset, and severity of disease47,48. Females are more likely to be anemic compared to males due to physiological blood loss throughout much of adulthood and thus compensatory mechanisms may have evolved due to evolutionary adaptation resulting in sexually dimorphic handling of the downstream effects of anemia, including hypoxic responses47. Indeed, studies in animal models examining perinatal hypoxia-induced brain damage have reported that the hypoxia-induced injury was greater in males than in females49,50. Pathways activated by hypoxic responses such as those involved in cell death, handling of oxidative stress, and microglial activation have also been reported to exhibit features of sexual dimorphism51.
In addition to correcting anemia-induced hypoxic responses, iron itself may potentially contribute to anti-tumor responses. A study by Anic et al. examined iron content in toenail clippings collected from 193 glioblastoma patients post-diagnosis52. While that study did not examine associations between iron content and survival, it did report that toe nail iron appeared to decrease the further it was collected from the date of glioblastoma diagnosis, suggesting that glioblastoma pathology and iron biology may be more closely associated than previously appreciated52. Recent work has also demonstrated novel anti-tumor properties of iron including promoting ferroptosis22, inhibiting glioblastoma cell migration23, and promoting anti-tumor immunity24. In addition to differences in the underlying etiology of anemia, the sexual dimorphism observed in trends between iron supplements and survival may, in part, be explained by differences in iron uptake. Previous work in our laboratory demonstrated that, in mouse models, injection of radioactive iron bound to transferrin resulted in significantly higher uptake in female liver and brain compared to male controls suggesting sexually dimorphic regulation of body iron storage and blood–brain-barrier iron transport53.
Our study is limited by its retrospective nature and limited sample size for the analysis of iron supplementation of anemic patients. Iron supplements were infrequently utilized in the anemic glioblastoma patient cohort examined here and prospective clinical trials are needed to verify our findings. As these data were largely derived from de-identified electronic health records, data regarding molecular profiling is largely unavailable. Thus we cannot comment on whether differences in molecular profiling may have played a role our findings. In addition, our study lacks an independent validation cohort, yet does include a large sample size as a first investigation to be validated in a future study. Nonetheless, our study brings to attention a potentially clinically significant link between anemia and glioblastoma sex-specific outcomes that should be further investigated with anemia correcting therapies for use among glioblastoma patients to potentially both improve quality of life and provide more favorable outcomes.
Data availability
All de-identified unprocessed data is available on the TriNetX Research Network (https://trinetx.com). Processed aggregate data are provided in the supplementary information. Data from the transferrin binding assay is available upon request to the corresponding author.
References
Ostrom, Q. T. et al. CBTRUS statistical report: Primary brain and other central nervous system tumors diagnosed in the United States in 2015–2019. Neuro-Oncology 24(Supplement_5), v1-V95. https://doi.org/10.1093/neuonc/noac202 (2022).
Safiri, S. et al. Burden of anemia and its underlying causes in 204 countries and territories, 1990–2019: Results from the Global Burden of Disease Study 2019. J. Hematol. Oncol. 14(1), 185. https://doi.org/10.1186/s13045-021-01202-2 (2021).
Naoum, F. A. Iron deficiency in cancer patients. Rev. Bras Hematol Hemoter. 38(4), 325–330. https://doi.org/10.1016/j.bjhh.2016.05.009 (2016).
Vaupel, P., Mayer, A. & Höckel, M. Impact of hemoglobin levels on tumor oxygenation: the higher, the better?. Strahlenther. Onkol. 182(2), 63–71. https://doi.org/10.1007/s00066-006-1543-7 (2006).
Hirota, K. An intimate crosstalk between iron homeostasis and oxygen metabolism regulated by the hypoxia-inducible factors (HIFs). Free Rad. Biol. Med. 133, 118–129. https://doi.org/10.1016/j.freeradbiomed.2018.07.018 (2019).
Das, S. & Marsden, P. A. Angiogenesis in glioblastoma. N. Engl. J. Med. 369(16), 1561–1563. https://doi.org/10.1056/NEJMcibr1309402 (2013).
Leblond, M. M. et al. Hypoxia induces macrophage polarization and re-education toward an M2 phenotype in U87 and U251 glioblastoma models. OncoImmunology 5(1), e1056442. https://doi.org/10.1080/2162402X.2015.1056442 (2016).
Guo, X. et al. Immunosuppressive effects of hypoxia-induced glioma exosomes through myeloid-derived suppressor cells via the miR-10a/Rora and miR-21/Pten pathways. Oncogene 37(31), 4239–4259. https://doi.org/10.1038/s41388-018-0261-9 (2018).
Park, J. H. et al. Tumor hypoxia represses γδ T cell-mediated antitumor immunity against brain tumors. Nat. Immunol. 22(3), 336–346. https://doi.org/10.1038/s41590-020-00860-7 (2021).
Bannoud, N. et al. Hypoxia supports differentiation of terminally exhausted CD8 T cells. Front. Immunol. 12, 660944. https://doi.org/10.3389/fimmu.2021.660944 (2021).
Manoochehri Khoshinani, H., Afshar, S. & Najafi, R. Hypoxia: A double-edged sword in cancer therapy. Cancer Invest. 34(10), 536–545. https://doi.org/10.1080/07357907.2016.1245317 (2016).
Rohwer, N. & Cramer, T. Hypoxia-mediated drug resistance: Novel insights on the functional interaction of HIFs and cell death pathways. Drug Res. Updates. 14(3), 191–201. https://doi.org/10.1016/j.drup.2011.03.001 (2011).
Zhang, Y. et al. Impact of preoperative anemia on relapse and survival in breast cancer patients. BMC Cancer. 14(1), 844. https://doi.org/10.1186/1471-2407-14-844 (2014).
Gvirtzman, R., Livovsky, D. M., Tahover, E., Goldin, E. & Koslowsky, B. Anemia can predict the prognosis of colorectal cancer in the pre-operative stage: A retrospective analysis. World J. Surg. Onc. 19(1), 341. https://doi.org/10.1186/s12957-021-02452-7 (2021).
Kennedy, A. S. et al. Baseline hemoglobin and liver function predict tolerability and overall survival of patients receiving radioembolization for chemotherapy-refractory metastatic colorectal cancer. J. Gastrointest. Oncol. 8(1), 70–80. https://doi.org/10.21037/jgo.2017.01.03 (2017).
Kang, H. S. et al. Clinical significance of anemia as a prognostic factor in non-small cell lung cancer carcinoma with activating epidermal growth factor receptor mutations. J. Thorac. Dis. 12(5), 1895–1902. https://doi.org/10.21037/jtd-19-3932 (2020).
Tan, P. et al. Prognostic impact of preoperative anemia on upper tract urothelial carcinoma. Medicine 97(37), e12300. https://doi.org/10.1097/MD.0000000000012300 (2018).
Torti, S. V. & Torti, F. M. Iron and cancer: 2020 vision. Cancer Res. 80(24), 5435–5448. https://doi.org/10.1158/0008-5472.CAN-20-2017 (2020).
Jung, M., Mertens, C., Tomat, E. & Brüne, B. Iron as a central player and promising target in cancer progression. IJMS 20(2), 273. https://doi.org/10.3390/ijms20020273 (2019).
Guo, Q. et al. The role of iron in cancer progression. Front. Oncol. 11, 778492. https://doi.org/10.3389/fonc.2021.778492 (2021).
Schonberg, D. L. et al. Preferential iron trafficking characterizes glioblastoma stem-like cells. Cancer Cell. 28(4), 441–455. https://doi.org/10.1016/j.ccell.2015.09.002 (2015).
Zhang, C., Liu, X., Jin, S., Chen, Y. & Guo, R. Ferroptosis in cancer therapy: a novel approach to reversing drug resistance. Mol. Cancer 21(1), 47. https://doi.org/10.1186/s12943-022-01530-y (2022).
Shenoy, G. et al. Iron inhibits glioblastoma cell migration and polarization. The FASEB Journal. 37(12), e23307. https://doi.org/10.1096/fj.202202157RR (2023).
Costa da Silva, M. et al. Iron induces anti-tumor activity in tumor-associated macrophages. Front. Immunol. 8, 1479. https://doi.org/10.3389/fimmu.2017.01479 (2017).
World Health Organization. Haemoglobin Concentrations for the Diagnosis of Anaemia and Assessment of Severity (World Health Organization, 2011).
Vu, T. N. et al. Association of spinal cord stimulator implantation with persistent opioid use in patients with postlaminectomy syndrome. JAMA Netw. Open. 5(1), e2145876. https://doi.org/10.1001/jamanetworkopen.2021.45876 (2022).
Ho, D., Imai, K., King, G. & Stuart, E. A. MatchIt: Nonparametric preprocessing for parametric causal inference. J. Stat. Soft. 42(8), 1–28. https://doi.org/10.18637/jss.v042.i08 (2011).
Written on behalf of AME Big-Data Clinical Trial Collaborative Group, Zhang, Z., Kim, H. J., Lonjon, G. & Zhu, Y. Balance diagnostics after propensity score matching. Ann Transl Med. 7(1), 16–16. https://doi.org/10.21037/atm.2018.12.10 (2019).
Greifer, N. cobalt: Covariate Balance Tables and Plots. (2022). https://github.com/ngreifer/cobalt
Zhou, Z., Rahme, E., Abrahamowicz, M. & Pilote, L. Survival bias associated with time-to-treatment initiation in drug effectiveness evaluation: A comparison of methods. Am. J. Epidemiol. 162(10), 1016–1023. https://doi.org/10.1093/aje/kwi307 (2005).
Austin, P. C. The use of propensity score methods with survival or time-to-event outcomes: Reporting measures of effect similar to those used in randomized experiments. Stat. Med. 33(7), 1242–1258. https://doi.org/10.1002/sim.5984 (2014).
Therneau. T.M. A Package for Survival Analysis in R.; (2022). https://CRAN.R-project.org/package=survival
Kassambara, A., Kosinski, M., & Biecek, P. Package ‘survminer.’ Accessed 21 March 2017. http://www.sthda.com/english/rpkgs/survminer/
Glick, R. P., Gettleman, R., Patel, K., Lakshman, R. & Tsibris, J. C. Insulin and insulin-like growth factor I in brain tumors: Binding and in vitro effects. Neurosurgery 24(6), 791–797. https://doi.org/10.1227/00006123-198906000-00001 (1989).
Charlson, M. E., Carrozzino, D., Guidi, J. & Patierno, C. Charlson comorbidity index: A critical review of clinimetric properties. Psychother. Psychosom. 91(1), 8–35. https://doi.org/10.1159/000521288 (2022).
Ward, J. H. & Kaplan, J. [22] Receptor assay with radiolabeled transferrin. In Methods in Enzymology Vol. 147 (eds Barnes, D. & Sirbasku, D. A.) 247–252 (Academic Press, 1987). https://doi.org/10.1016/0076-6879(87)47115-2.
Gammella, E., Buratti, P., Cairo, G. & Recalcati, S. The transferrin receptor: the cellular iron gate. Metallomics 9(10), 1367–1375. https://doi.org/10.1039/C7MT00143F (2017).
Johnsen, K. B., Burkhart, A., Thomsen, L. B., Andresen, T. L. & Moos, T. Targeting the transferrin receptor for brain drug delivery. Prog. Neurobiol. 181, 101665. https://doi.org/10.1016/j.pneurobio.2019.101665 (2019).
Lutterbach, J., Weigel, P., Guttenberger, R. & Hinkelbein, W. Accelerated hyperfractionated radiotherapy in 149 patients with glioblastoma multiforme. Radiother. Oncol. 53, 49–52 (1999).
Lutterbach, J., Sauerbrei, W. & Guttenberger, R. Multivariate analysis of prognostic factors in patients with glioblastoma. Strahlenther. Onkol. 179(1), 8–15. https://doi.org/10.1007/s00066-003-1004-5 (2003).
Odrazka, K. et al. Prognostic impact of hemoglobin level prior to radiotherapy on survival in patients with glioblastoma. Strahlenther. Onkol. 179(9), 615–619. https://doi.org/10.1007/s00066-003-1097-x (2003).
Ausili Céfaro, G. et al. Prognostic impact of hemoglobin level and other factors in patients with high-grade gliomas treated with postoperative radiochemotherapy and sequential chemotherapy based on temozolomide: A 10-year experience at a single institution. Strahlenther. Onkol. 187(12), 778–783. https://doi.org/10.1007/s00066-011-1129-x (2011).
Kaisman-Elbaz, T. et al. Hemoglobin levels and red blood cells distribution width highlights glioblastoma patients subgroup with improved median overall survival. Front. Oncol. 10, 432. https://doi.org/10.3389/fonc.2020.00432 (2020).
Shenoy, G. & Connor, J. R. A closer look at the role of iron in glioblastoma. Neuro-Oncology 25(12), 2136–2149. https://doi.org/10.1093/neuonc/noad136 (2023).
Busti, F., Marchi, G., Ugolini, S., Castagna, A. & Girelli, D. Anemia and iron deficiency in cancer patients: role of iron replacement therapy. Pharmaceuticals 11(4), 94. https://doi.org/10.3390/ph11040094 (2018).
Calabrich, A. & Katz, A. Management of anemia in cancer patients. Future Oncology. 7(4), 507–517. https://doi.org/10.2217/fon.11.24 (2011).
Ryan, B. J., Charkoudian, N. & McClung, J. P. Consider iron status when making sex comparisons in human physiology. J. Appl. Physiol. 132(3), 699–702. https://doi.org/10.1152/japplphysiol.00582.2021 (2022).
Allen, K. J. et al. Iron-overload–related disease in HFE hereditary hemochromatosis. N. Engl. J. Med. 358(3), 221–230 (2008).
Mirza, M. A., Ritzel, R., Xu, Y., McCullough, L. D. & Liu, F. Sexually dimorphic outcomes and inflammatory responses in hypoxic-ischemic encephalopathy. J. Neuroinflamm. 12(1), 32. https://doi.org/10.1186/s12974-015-0251-6 (2015).
Mayoral, S. R., Omar, G. & Penn, A. A. Sex differences in a hypoxia model of preterm brain damage. Pediatr. Res. 66(3), 248–253. https://doi.org/10.1203/PDR.0b013e3181b1bc34 (2009).
Charriaut-Marlangue, C., Besson, V. & Baud, O. Sexually dimorphic outcomes after neonatal stroke and hypoxia-ischemia. IJMS. 19(1), 61. https://doi.org/10.3390/ijms19010061 (2017).
Anic, G. M. et al. Toenail iron, genetic determinants of iron status, and the risk of glioma. Cancer Causes Control. 24(12), 2051–2058. https://doi.org/10.1007/s10552-013-0281-2 (2013).
Duck, K. A., Neely, E. B., Simpson, I. A. & Connor, J. R. A role for sex and a common HFE gene variant in brain iron uptake. J Cereb Blood Flow Metab. 38(3), 540–548. https://doi.org/10.1177/0271678X17701949 (2018).
Acknowledgements
We would like to acknowledge the Penn State Neuroscience Institute Biorepository and the patients who agreed to allow their samples to be used for research. We would like to thank Avnish Katoch and the Penn State Clinical and Translational Science Institute for assistance with retrieving data from the TriNetX Research Network. We also thank sex-based differences in glioma program project grant collaborators for their helpful insights and comments. This work was supported by NIH Grants F30CA250193 and P01CA245705. The contents of this paper are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.
Funding
This work was supported by NIH Grants F30CA250193 and P01CA245705. The contents of this paper are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.
Author information
Authors and Affiliations
Contributions
G.S. and J.R.C. conceptualized and designed the research. G.S., C.K., J.L, B.S and B.P performed the research. V.K., N.S. and B.E.Z. obtained and processed vital patient samples. A.M., S.H., J.D.L., J.S.B and J.R.C. supervised the project and helped analyze data. All authors contributed toward writing the manuscript. This manuscript does not contain any individually identifiable patient data. Patient samples utilized in this study were retrieved following a Penn State IRB approved protocol with informed patient consent.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Shenoy, G., Slagle-Webb, B., Khunsriraksakul, C. et al. Analysis of anemia and iron supplementation among glioblastoma patients reveals sex-biased association between anemia and survival. Sci Rep 14, 2389 (2024). https://doi.org/10.1038/s41598-024-52492-8
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41598-024-52492-8
- Springer Nature Limited