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Record W1824988371 · doi:10.1200/jco.2015.64.0888

Limited-Stage Small-Cell Lung Cancer: An Age Limit for Combined Modality Therapy?

2015· letter· en· W1824988371 on OpenAlexaboutno aff
Jeffrey A. Bogart, Ajeet Gajra

Bibliographic record

VenueJournal of Clinical Oncology · 2015
Typeletter
Languageen
FieldMedicine
TopicLung Cancer Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStage (stratigraphy)Lung cancerOncologyInternal medicineRadiology

Abstract

fetched live from OpenAlex

Limited-stage small-cell lung cancer (LSCLC) stands out as a disease entity for which the role of radiotherapy has been extensively studied and defined through prospective phase III trials in North America, Europe, and Asia. Meta-analyses in the 1990s confirmed a survival benefit with the addition of thoracic radiotherapy to chemotherapy, and the landmark Intergroup 0096 phase III trial demonstrated that altering the way thoracic radiotherapy was administered (twice daily) could affect overall survival. Additional randomized studies have assessed thoracic radiotherapy timing and sequencing, as reflected in current National Comprehensive Cancer Network guidelines that recommend concurrent thoracic radiotherapy starting with either the first or second cycle of chemotherapy. Likewise, substantial evidence supports a role for prophylactic cranial radiotherapy (PCI) in patients with responsive chest disease. Despite the multitude of clinical trials performed, relatively little prospective data are available to guide therapy for elderly patients, because they have been under-represented in these studies. Given the dearth of robust data for the elderly, and given a median age of patients with SCLC that approaches 70 years, the review by Corso et al, the article that accompanies this editorial, provides a meaningful look into the management of the disease in elderly patients. Their National Cancer Data Base analysis included more than 8,000 patients age 70 years or older who were treated in the modern era; although the results are disheartening, they are not completely unexpected. Perhaps most telling is that greater than 40% of patients did not receive thoracic radiotherapy and were treated with chemotherapy alone, presumably in an effort to avoid potential toxicities. As such, thoracic radiotherapy was less likely to be given with increasing age, higher stage, and the presence of medical comorbidities. Women were less likely to receive thoracic radiotherapy, for unclear reasons. Of note, treatment with chemoradiotherapy had the strongest association with survival on multivariable analysis. The benefit of chemoradiotherapy remained significant even when the analysis was revised to try to account for selection bias, including propensity score matching and a subset analysis that restricted the chemotherapy cohort to patients for whom radiation was explicitly recommended but not delivered. Likewise, the survival advantage with chemoradiotherapy retained significance in populations that traditionally were less likely to benefit from intensive therapy, such as in patients older than age 80 years and in patients with multiple medical comorbidities. The traditional belief that age alone is a determinant of benefit from aggressive therapy is not necessarily borne out from experience with prospective trials. For example, Radiation Therapy Oncology Group (RTOG) study 9410 was key in defining the superiority of concurrent chemoradiotherapy over sequential therapy for locally advanced non–small-cell lung cancer, yet a subset analysis showed that fit elderly patients derived the greatest benefit from concurrent therapy (median overall survival, 22.4 months with concurrent v 10.5 months with sequential therapy). Evidence is also available from prospective LSCLC trials, including Intergroup 0096, in which similar response rates and event-free survival rates were observed in patients younger and older than 70 years of age. Although 5-year overall survival favored younger patients, 16% of patients age 70 or older were still alive 5 years after therapy. Reviews of trials conducted by the National Cancer Institute of Canada, North Central Cancer Treatment Group, and Cancer and Leukemia Group B suggest that elderly patients tolerate treatment reasonably well and are not necessarily more likely to need treatment interruptions during thoracic radiotherapy, although severe treatment-related myelosuppression and fatalities may be more commonly observed in the older population. These data support chemoradiotherapy for the select group of elderly fit enough to qualify for prospective trials (generally Eastern Cooperative Oncology Group performance status [PS] of 0 to 2 and minimal weight loss before diagnosis), though closer monitoring for treatment-related effects appears indicated. Although the results from Corso et al are provocative, a major limitation is that the National Cancer Data Base lacks information on PS, on PCI, and on details of chemotherapy itself, all of which may affect outcomes. Because it is not clear why patients did not receive thoracic radiotherapy, the finding that patients treated with chemoradiotherapy do better than patients treated with chemotherapy alone may be substantially biased by including patients who are unable to tolerate initial chemotherapy or who have early disease progression and, therefore, never become candidates for thoracic radiotherapy. Despite these limitations, such retrospective analyses do provide important information regarding treatment in the real-world setting. The decision-making process in the elderly patient with LSCLC should address two questions: First, should the patient not be offered chemoradiotherapy for any reason? Second, does the patient understand the goals of treatment? It is noteworthy that a significant proportion of patients, particularly among the elderly, do not understand the goals of cancer treatment therapy. In the prevailing paradigm, the treating team may use clinical judgment to formulate a treatment plan. However, this may lead to prohibitive toxicity in those unable to JOURNAL OF CLINICAL ONCOLOGY E D I T O R I A L VOLUME 33 NUMBER 36 DECEMBER 2

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.

How this classification was reachedexpand

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)0.009
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.048
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0030.008
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 head0.360
GPT teacher head0.550
Teacher spread0.190 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations1
Published2015
Admission routes1
Has abstractyes

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