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Purpose <p>The aim of this study was to examine the clinical utility of tumor-infiltrating lymphocytes (TILs) evaluated by “average” and “hot-spot” methods in breast cancer patients.</p> Methods <p>We examined 367 breast cancer patients without neoadjuvant chemotherapy (NAC) by average and hot-spot methods to determine the consistency of TIL scores between biopsy and surgical specimens. TIL scores before NAC were also compared with the pathological complete response (pCR) rate and clinical outcomes in 144 breast cancer patients that received NAC. TIL scores evaluated by the two methods were predicted from clinicopathological data using random forest regression.</p> Results <p>Surgical specimens showed higher TIL scores than biopsy specimens using the hot-spot method (<i>p</i> &lt; 0.001), while biopsy and surgical specimens showed similar TIL scores using the average method. There was a linear relationship between the pCR rate and TIL scores determined using hot-spot (<i>p</i> &lt; 0.001) and average methods <i>(p</i> = 0.001). Patients without pCR and low TILs by the average method had significantly worse overall survival compared to other patients (<i>p</i> = 0.02). The root mean squared errors of the predicted TIL score for the test set were 19.662 (hot-spot) and 10.955 (average).</p> Conclusion <p>The average method may have an advantage for breast cancer patients receiving NAC, since the TIL score using this method is more consistent between biopsy and surgical specimens, and it associates better with clinical outcomes. Our exploratory study showed that machine learning from clinicopathological data may better predict TIL scores assessed by the average, rather than hot-spot, method.</p>

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Clinical utility of tumor-infiltrating lymphocyte evaluation by two different methods in breast cancer patients treated with neoadjuvant chemotherapy

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年1月14日

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  • Masayuki Nagahashi,
  • Eri Ishikawa,
  • Takahiro Nagai,
  • Haruka Kanaoka,
  • Aoi Oshiro,
  • Yusa Togashi,
  • Akira Hattori,
  • Junko Tsuchida,
  • Tomoko Higuchi,
  • Arisa Nishimukai,
  • Keiko Murase,
  • Yuichi Takatsuka,
  • Takako Kihara,
  • Yiwei Ling,
  • Shujiro Okuda,
  • Seiichi Hirota,
  • Yasuo Miyoshi

摘要

Purpose

The aim of this study was to examine the clinical utility of tumor-infiltrating lymphocytes (TILs) evaluated by “average” and “hot-spot” methods in breast cancer patients.

Methods

We examined 367 breast cancer patients without neoadjuvant chemotherapy (NAC) by average and hot-spot methods to determine the consistency of TIL scores between biopsy and surgical specimens. TIL scores before NAC were also compared with the pathological complete response (pCR) rate and clinical outcomes in 144 breast cancer patients that received NAC. TIL scores evaluated by the two methods were predicted from clinicopathological data using random forest regression.

Results

Surgical specimens showed higher TIL scores than biopsy specimens using the hot-spot method (p < 0.001), while biopsy and surgical specimens showed similar TIL scores using the average method. There was a linear relationship between the pCR rate and TIL scores determined using hot-spot (p < 0.001) and average methods (p = 0.001). Patients without pCR and low TILs by the average method had significantly worse overall survival compared to other patients (p = 0.02). The root mean squared errors of the predicted TIL score for the test set were 19.662 (hot-spot) and 10.955 (average).

Conclusion

The average method may have an advantage for breast cancer patients receiving NAC, since the TIL score using this method is more consistent between biopsy and surgical specimens, and it associates better with clinical outcomes. Our exploratory study showed that machine learning from clinicopathological data may better predict TIL scores assessed by the average, rather than hot-spot, method.