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Can Serum Markers Be Used to Predict Acute and Late Toxicity in Patients With Lung Cancer?

2007· article· en· W2033387468 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAmerican Journal of Clinical Oncology · 2007
Typearticle
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePulmonary function testingInternal medicineRadiation therapyLung cancerGastroenterologyStage (stratigraphy)Pulmonary fibrosisLungCancerWhite blood cellPneumonitisPulmonary toxicityDLCOOncologySurgeryDiffusing capacity

Abstract

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PURPOSE: To identify factors that are predictive of satisfactory acute and long-term pulmonary tolerance of definitive irradiation and, conversely, factors that are predictive of excessive impairment of pulmonary functions. To determine if there is any correlation between early elevation of biochemical markers obtained in blood of irradiated patients and subsequent pulmonary abnormalities as detected by clinical findings, pulmonary function tests, and/or radiographic findings of pneumonitis/fibrosis. MATERIALS AND METHODS: This was a multi-institutional prospective trial sponsored by the Radiation Therapy Oncology Group. Eligible patients had surgically unresectable or medically inoperable stage II or III non-small cell lung cancer. Pretreatment evaluation included baseline dyspnea index (BDI) and pulmonary function tests (PFT). Radiation therapy consisted of once-daily treatment with 2 Gy to a total of 60 to 66 Gy. A quantitative nuclear medicine perfusion study was correlated to the radiation therapy portals to assess the proportion of lung irradiated. Blood for serum markers (surfactant apoprotein, procollagen type III, interleukin [IL]-1, interleukin-6, and tumor necrosis factor-alpha) was drawn prior to the beginning of radiation therapy and then weekly during treatment (at 10, 20, 30, 40, 50, and 60 Gy). Post-treatment follow-up included PFT every 3 months for 1 year and then annually. The BDI was reevaluated at the same intervals. RESULTS: There were 127 analyzable patients. Squamous cell carcinoma was the predominant histology and 93% of the patients had AJCC stage III disease. The median survival time is 10.9 months with 43% of patients living 1 year and 10% living 3 years. Grade >or=2 acute lung toxicity was seen in 18% of patients; patients least likely to develop lung toxicity are those with undetectable levels of IL-6 at 10 Gy and diffusing capacity of the lung for carbon monoxide percent (DLCO%) >54. Patients most likely to develop acute toxicity are those with elevated IL-6 and age >60 years. Grade >or=2 late lung toxicity was seen in 30% of patients. Karnofsky performance status was the only pretreatment factor predictive of late lung toxicity. The proportion of lung within the irradiated field, BDI indices, physician-assessed baseline dyspnea, and baseline PFT were not predictive of pulmonary toxicity. Using grade >or=2 toxicity as an event, age >60 years, gender, and a surfactant level <797 at 20 Gy were predictive of late lung toxicity. CONCLUSIONS: Elevated levels of serum IL-6 after 10 Gy of lung irradiation appear to predict grade >or=2 acute lung toxicity, and high serum levels of surfactant apoproteins at 20 Gy correlated with grade >or=2 late pulmonary toxicity. These findings need to be confirmed but could be useful in a model to predict risk of pulmonary injury with high doses of radiation. For future studies, it is necessary to evaluate serum markers at multiple time-points during treatment, and quality control is critical during the collection, storage, and analysis of these serum markers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.410

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.018
GPT teacher head0.402
Teacher spread0.384 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it