Red blood cell changes due to cancer and cancer treatments: a narrative review
Bibliographic record
Abstract
PURPOSE OF REVIEW: To date, there is relatively limited research investigating changes in red blood cells (RBCs), particularly qualitative changes, in cancer patients and cancer patients receiving treatment. These changes may be important in better understanding cancer-associated anemia, which is the most prevalent hematological disorder in cancer patients with wide-ranging implications on patient care and quality of life. This review aims to summarize available evidence regarding qualitative and quantitative changes in RBCs in individuals with cancer prior to treatment and in patients undergoing treatment. RECENT FINDINGS: The most commonly reported changes in RBCs in cancer patients were increased mean corpuscular volume (MCV) and decreased hemoglobin, RBC count, and hematocrit. There were increased lipid peroxidation products and decreased antioxidants. There were increased polyunsaturated fatty acids (PUFAs) and decreased monounsaturated fatty acids (MUFAs) and saturated fatty acids (FAs). Additionally, RBC shape alterations with various atypical morphologies, membrane structure abnormalities, and impaired fluidity were also reported. These and various other reported findings are discussed in depth. SUMMARY: There are several reported quantitative and qualitative RBC changes in individuals with cancer, with some studies exhibiting conflicting results. Further research is needed to solidify the data and to better understand hematological-associated comorbidities in those patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".