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The value of tumor infiltrating lymphocytes (TILs) for predicting response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.

Mao Y, Qu Q, Zhang Y, Liu J, Chen X, Shen K - PLoS ONE (2014)

Bottom Line: Random or fixed effect models were adopted to estimate the summary odds ratio (OR).Heterogeneity and sensitivity analyses were performed to explore heterogeneity among studies and to assess the effects of study quality.Only FOXP3+ lymphocytes in post-NAC breast tissue were a predictive marker for low pCR rate in univariate (OR = 0.41, 95% CI: 0.21-0.80) and multivariate (OR = 0.36, 95% CI: 0.13-0.95) analysis.

View Article: PubMed Central - PubMed

Affiliation: Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

ABSTRACT

Background: We carried out a systematic review and meta-analysis to evaluate the predictive roles of tumor infiltrating lymphocytes (TILs) in response to neoadjuvant chemotherapy (NAC) in breast cancer.

Method: A PubMed and Web of Science literature search was designed. Random or fixed effect models were adopted to estimate the summary odds ratio (OR). Heterogeneity and sensitivity analyses were performed to explore heterogeneity among studies and to assess the effects of study quality. Publication bias was evaluated using a funnel plot, Egger's test and Begg's test. We included studies where the predictive significance of TILs, and/or TILs subset on the pathologic complete response (pCR) were determined in NAC of breast cancer.

Results: A total of 13 published studies (including 3251 patients) were eligible. In pooled analysis, the detection of higher TILs numbers in pre-treatment biopsy was correlated with better pCR to NAC (OR = 3.93, 95% CI, 3.26-4.73). Moreover, TILs predicted higher pCR rates in triple negative (OR = 2.49, 95% CI: 1.61-3.83), HER2 positive (OR = 5.05, 95% CI: 2.86-8.92) breast cancer, but not in estrogen receptor (ER) positive (OR = 6.21, 95%CI: 0.86-45.15) patients. In multivariate analysis, TILs were still an independent marker for high pCR rate (OR = 1.41, 95% CI: 1.19-1.66). For TILs subset, higher levels of CD8+ and FOXP3+ T-lymphocytes in pre-treatment biopsy respectively predicted better pathological response to NAC (OR = 6.44, 95% CI: 2.52-16.46; OR = 2.94, 95% CI: 1.05-8.26). Only FOXP3+ lymphocytes in post-NAC breast tissue were a predictive marker for low pCR rate in univariate (OR = 0.41, 95% CI: 0.21-0.80) and multivariate (OR = 0.36, 95% CI: 0.13-0.95) analysis.

Conclusion: Higher TILs levels in pre-treatment biopsy indicated higher pCR rates for NAC. TILs subset played different roles in predicting response to NAC.

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Related in: MedlinePlus

Funnel plot for publication bias in the pooled pCR analysis based on TIL status (A) and TILs subset before (B) treatment.
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pone-0115103-g008: Funnel plot for publication bias in the pooled pCR analysis based on TIL status (A) and TILs subset before (B) treatment.

Mentions: A funnel plot, Egger's test and Begg's test were performed to assess the publication bias of the selected studies for the pooled pCR rate analysis. The shapes of the funnel plots revealed little evidence of asymmetry for pooled pCR analysis using the TILs level. Egger's test (P = 0.093) and Begger's test (P = 0.152) provided no publication bias in these 8 studies (Fig. 8A). For the comparison of pCR rate in different TILs subset, there was some evidence of asymmetry in the funnel plot before (Fig. 8B) treatment. However, only Egger's test (P = 0.008) before treatment was significant (S4 Table). For TILs in post-NAC breast tissue, there were only three studies, so we did not do the funnel plot, and the Egger's test (P = 0.179) and Begger's test (P = 1.000) provided no publication bias.


The value of tumor infiltrating lymphocytes (TILs) for predicting response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.

Mao Y, Qu Q, Zhang Y, Liu J, Chen X, Shen K - PLoS ONE (2014)

Funnel plot for publication bias in the pooled pCR analysis based on TIL status (A) and TILs subset before (B) treatment.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4264870&req=5

pone-0115103-g008: Funnel plot for publication bias in the pooled pCR analysis based on TIL status (A) and TILs subset before (B) treatment.
Mentions: A funnel plot, Egger's test and Begg's test were performed to assess the publication bias of the selected studies for the pooled pCR rate analysis. The shapes of the funnel plots revealed little evidence of asymmetry for pooled pCR analysis using the TILs level. Egger's test (P = 0.093) and Begger's test (P = 0.152) provided no publication bias in these 8 studies (Fig. 8A). For the comparison of pCR rate in different TILs subset, there was some evidence of asymmetry in the funnel plot before (Fig. 8B) treatment. However, only Egger's test (P = 0.008) before treatment was significant (S4 Table). For TILs in post-NAC breast tissue, there were only three studies, so we did not do the funnel plot, and the Egger's test (P = 0.179) and Begger's test (P = 1.000) provided no publication bias.

Bottom Line: Random or fixed effect models were adopted to estimate the summary odds ratio (OR).Heterogeneity and sensitivity analyses were performed to explore heterogeneity among studies and to assess the effects of study quality.Only FOXP3+ lymphocytes in post-NAC breast tissue were a predictive marker for low pCR rate in univariate (OR = 0.41, 95% CI: 0.21-0.80) and multivariate (OR = 0.36, 95% CI: 0.13-0.95) analysis.

View Article: PubMed Central - PubMed

Affiliation: Comprehensive Breast Health Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

ABSTRACT

Background: We carried out a systematic review and meta-analysis to evaluate the predictive roles of tumor infiltrating lymphocytes (TILs) in response to neoadjuvant chemotherapy (NAC) in breast cancer.

Method: A PubMed and Web of Science literature search was designed. Random or fixed effect models were adopted to estimate the summary odds ratio (OR). Heterogeneity and sensitivity analyses were performed to explore heterogeneity among studies and to assess the effects of study quality. Publication bias was evaluated using a funnel plot, Egger's test and Begg's test. We included studies where the predictive significance of TILs, and/or TILs subset on the pathologic complete response (pCR) were determined in NAC of breast cancer.

Results: A total of 13 published studies (including 3251 patients) were eligible. In pooled analysis, the detection of higher TILs numbers in pre-treatment biopsy was correlated with better pCR to NAC (OR = 3.93, 95% CI, 3.26-4.73). Moreover, TILs predicted higher pCR rates in triple negative (OR = 2.49, 95% CI: 1.61-3.83), HER2 positive (OR = 5.05, 95% CI: 2.86-8.92) breast cancer, but not in estrogen receptor (ER) positive (OR = 6.21, 95%CI: 0.86-45.15) patients. In multivariate analysis, TILs were still an independent marker for high pCR rate (OR = 1.41, 95% CI: 1.19-1.66). For TILs subset, higher levels of CD8+ and FOXP3+ T-lymphocytes in pre-treatment biopsy respectively predicted better pathological response to NAC (OR = 6.44, 95% CI: 2.52-16.46; OR = 2.94, 95% CI: 1.05-8.26). Only FOXP3+ lymphocytes in post-NAC breast tissue were a predictive marker for low pCR rate in univariate (OR = 0.41, 95% CI: 0.21-0.80) and multivariate (OR = 0.36, 95% CI: 0.13-0.95) analysis.

Conclusion: Higher TILs levels in pre-treatment biopsy indicated higher pCR rates for NAC. TILs subset played different roles in predicting response to NAC.

Show MeSH
Related in: MedlinePlus