High interstitial fluid pressure (IFP) and hypoxia as biomarkers of cisplatin chemoradiation response in advanced cervix cancer
Bibliographic record
Abstract
5584 Background: Chemoradiotherapy (CRT) has been shown to improve survival compared to RT alone for locally advanced cervix cancer. The tumour microenvironment in cervix cancer is also known to influence disease progression and response to treatment. In this prospective study, pre-treatment tumour hypoxia and interstitial fluid pressure (IFP) were examined as potential biomarkers of improved treatment effectiveness in a cohort of patients treated with definitive radiation alone, or with the addition of concurrent cisplatin CRT. Methods: Between April 1994 and January 2006, 309 eligible patients with cervix cancer were entered into a prospective study of hypoxia and IFP prior to definitive treatment. Patients accrued between 1994 and 1999 (n = 115) were treated with RT alone, and those accrued between 2000 and 2006 (n = 194) received RT and concurrent weekly cisplatin CRT. Clinical characteristics were similar between the two cohorts except pelvic lymph node metastases were more frequent in the CRT cohort (42% vs. 19%, p = 0.0005), likely due to changes in definition of positive nodes on CT or MR imaging. The median follow-up was 3.6 years (2.9 years for CRT and 7.8 years for RT). Results: The use of CRT improved outcome in hypoxic tumors compared to RT (57% 3-yr DFS vs. 42%, p = 0.045) with a trend to improved DFS in patients with high IFP tumors (57% 3-yr DFS vs. 44% for RT alone, p = 0.056). A strong interaction was identified between IFP and treatment (CRT vs. RT, p = 0.007). After correcting for the effects of clinical prognostic factors, cisplatin significantly improved DFS in the high IFP group (p = 0.02), and showed a trend towards improved DFS in those with hypoxia (p = 0.1). In patients with both high IFP and hypoxia a similar benefit of cisplatin was seen. Conclusions: Patients with high IFP and hypoxic tumours may selectively benefit from the addition of concurrent cisplatin CRT to their treatment regimen. This observation is contrary to an effect of high IFP on impaired drug delivery, but may reflect reduced DNA repair under hypoxic conditions, which could facilitate cell killing with both radiation and cisplatin chemotherapy. No significant financial relationships to disclose.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".