Prognostic significance of Lauren and Ming classifications and other pathologic parameters in gastric carcinoma

Prognostic models for patients with brain metastases after stereotactic radiosurgery with or without whole brain radiotherapy: a validation study

PURPOSE/OBJECTIVE(S)

To compare the performance of five prognostic models [RTOG recursive partitioning analysis (RPA), Score Index for Radiosurgery in Brain Metastases (SIR), Barnholtz-Sloan-Kattan nomogram (BSKN), diagnosis-specific Graded Prognostic Assessment (dsGPA), and Graded Prognostic Assessment for Lung Cancer Using Molecular Markers (Lung-molGPA)] against actual survival in patients with brain metastases treated with SRS +/- WBRT.

MATERIALS/METHODS

100 consecutive patients treated with SRS +/- WBRT between January 2006 and July 2012 were retrospectively analyzed. Patients were binned according to 33 percentiles of the predicted survival distribution for the BSKN and dsGPA models to compare with LungmolGPA, RPA and SIR. Pearson's correlation coefficients between predicted and observed survival were estimated to quantify the proportion of variance in observed survival.

RESULTS

Median survival for the entire cohort was 13.5 months, with predicted vs actual MS by BSKN, SIR, dsGPA, RPA, adenocarcinoma Lung-molGPA, and nonadenocarcinoma Lung-molGPA was 3.8 vs 15.6 months, 7 vs 13.5 months, 9.4 vs 13.5 months, 10.3 vs 13.5 months, 13.7 vs 13.7 months, and 9.8 vs 9.7 months, respectively. The BSKN model and adenocarcinoma LungmolGPA created three groups with a statistically significantly different MS (p = 0.002 and p = 0.01, respectively).

CONCLUSION

All models under-predicted MS and only the BSKN and Lung-molGPA model stratified patients into three risk groups with statistically significant actual MS. The prognostic groupings of the adenocarcinoma Lung-molGPA group was the best predictor of MS, and showed that we are making improvements in our prognostic ability by utilizing molecular information that is much more widely available in the current treatment era.

Discrepancies in the histologic type between biopsy and resected specimens: A cautionary note for mixed-type gastric carcinoma

AIM: To evaluate discrepancies between biopsy and resected specimens using the Japanese Classification of Gastric Carcinoma (JCGC) and tumor-node-metastasis (TNM) classification.

METHODS: A total of 376 consecutive paired samples from biopsy and resected gastric specimens, which were derived from curative gastrectomy for gastric cancer between 2008 and 2011, were retrospectively analyzed.

RESULTS: (1) Discrepancies in the histologic type were observed between biopsy and resected specimens; 11.7% (44/376) in the JCGC and 18.1% (68/376) in TNM. In specimens diagnosed as the differentiated type from biopsy specimens, 14.4% (28/195) in the JCGC and 41.1% (67/163) in TNM were finally diagnosed as the undifferentiated type from resected specimens; and (2) the incidence of mixed-type gastric cancer was significantly higher in specimens with discrepancies than in those without in both the JCGC and TNM (both P < 0.0001); 93.2% (41/44) of specimens with discrepancies in the JCGC and 97.1% (66/68) of specimens with discrepancies in TNM were mixed-type gastric cancers.

CONCLUSION: Mixed-type gastric cancer was associated with a high incidence of histologic discrepancies between biopsy and resected specimens in both the JCGC and TNM definitions. Care should be taken in deciding treatments based on diagnosis of the histologic type for mixed-type gastric cancer from biopsy specimens.