Risk grouping in stage IB squamous cell cervical carcinoma

Putte, Gregg Van de; Lie, A. Kathrine; Vach, Werner; Baekelandt, M.; Kristensen, Gunnar B.

doi:10.1016/j.ygyno.2005.05.026

Cited by 52 publications

(49 citation statements)

References 9 publications

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“…It is believed that the new criteria are tantamount to the GOG criteria. This finding is supported by other publications [17,18]. Kodaira et al identified a total of 68 stage I to II cervical cancer patients without lymph node metastasis.…”

Section: Discussionsupporting

confidence: 85%

“…Surprisingly, though, investigators have not extensively studied this. To date, there have been a few reports evaluating the validity of the GOG criteria and investigating the simpler model in English [17,18]. Moreover, there has been no convincing evidence as to whether adjuvant RT improves overall survival in patients with intermediate-risk factors.…”

Section: Introductionmentioning

confidence: 99%

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A validation study of new risk grouping criteria for postoperative treatment in stage IB cervical cancers without high-risk factors: Rethinking the Gynecologic Oncology Group criteria

Chang

Kim

Yoo

et al. 2009

European Journal of Obstetrics & Gynecology and Reproductiv

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Section: Discussionsupporting

confidence: 85%

Section: Introductionmentioning

confidence: 99%

A validation study of new risk grouping criteria for postoperative treatment in stage IB cervical cancers without high-risk factors: Rethinking the Gynecologic Oncology Group criteria

Chang

Kim

Yoo

et al. 2009

European Journal of Obstetrics & Gynecology and Reproductiv

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“…Multiple models were made by matching of different clinicopathological variables and/or different weighting of the score in each variable, including modifications of previously reported models or predicting systems for early-stage cervical cancer (Delgado et al, 1990;Yuan et al, 1998;Sedlis et al, 1999;Grisaru et al, 2003;Van de Putte et al, 2005;Biewenga et al, 2009;2011). Each variable was scored ranging from 1 to 3; score 1 representing one end with the lowest adverse probability, and score 2 or 3 for the other end with the higher adverse probability.…”

Section: Methodsmentioning

confidence: 99%

“…A prognostic predicting system of cervical squamous cell carcinoma has been proposed by the Gynecologic Oncology Group (GOG) and validated in previous studies (Delgado et al, 1990;Sedlis et al, 1999;Van de Putte et al, 2005). This system is based on tumor size, depth of cervical wall invasion in fractional thirds, and presence of LVSI.…”

Section: Prognostic Model In Patients With Early-stage Squamous Cell mentioning

confidence: 99%

“…This supports our finding that LVSI is an important prognostic determinant. Variation in the histological types of cases, in the patient selection criteria for adjuvant therapy, or in the selection of adjuvant treatment modality (radiation and/or chemotherapy) between each study may be an explanation for the difference in the results when the prognostic predictive systems are evaluated in different institutions (Sedlis et al, 1999;Van de Putte et al, 2005;Biewenga et al, 2009;2011).…”

Section: Prognostic Model In Patients With Early-stage Squamous Cell mentioning

confidence: 99%

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Prognostic Model in Patients with Early-stage Squamous Cell Carcinoma of the Uterine Cervix: A Combination of Invasive Margin Pathological Characteristics and Lymphovascular Space Invasion

Khunamornpong

Lekawanvijit²,

Settakorn³

et al. 2013

Asian Pacific Journal of Cancer Prevention

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Background: This study aimed to develop a prognostic model in patients with early-stage cervical squamous cell carcinoma based on clinicopathological features, including invasive margin characteristics. Materials and Methods: Clinicopathological features and outcomes of 190 patients with FIGO stage IB-IIA cervical squamous cell carcinoma treated by surgery were collected and analyzed for factors associated with tumor recurrence. In addition to well-recognized pathological risk factors, the pathological characteristics of invasive margin (type of invasive pattern and degree of stromal desmoplasia and peritumoral inflammatory reaction) were also included in the analysis. Multiple scoring models were made by matching different clinicopathological variables and/ or different weighting of the score for each variable. The model with the best performance in the prediction of recurrence and decreased survival was selected. Results: The model with the best performance was composed of a combined score of invasive pattern, lymphovascular space invasion (LVSI), and degree of inflammatory reaction and stromal desmoplasia (total score =10). Compared to those with score ≤8, the patients with score 9-10 had a significantly higher recurrence rate in the overall group (p<0.001) and the subgroup without adjuvant therapy (p<0.001), while the significance was marginal in the subgroup with adjuvant therapy (p=0.069). In addition, the patients with score 9-10 had a higher rate of tumor recurrence at distant sites (p=0.007). The disease-free survival was significantly lower in the patients with score 9-10 than those with score ≤8 among the overall patients (p<0.001), in the subgroup without adjuvant therapy (p<0.001), and the subgroup with adjuvant therapy (p=0.047). Conclusions: In this study, a prognostic model based on a combination of pathological characteristics of invasive margin and LVSI proved to be predictive of tumor recurrence and decreased disease-free survival in patients with early-stage cervical squamous cell carcinoma.

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