Anne-Vibeke Lænkholm

Research activity per year

External positions

University of Copenhagen

2005 → …

Fingerprint

Dive into the research topics where Anne-Vibeke Lænkholm is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

31 Journal article
5 Review
1 Conference abstract in journal
1 Editorial

Benefit of adjuvant chemotherapy in patients with T1a-bN0, triple-negative breast cancer – A systematic review and meta-analysis
Hassing, C. M. S., Juhl, C. B., Tvedskov, T. H. F., Nielsen, D. L., Knoop, A. S., Kroman, N. T., Lænkholm, A. V. & Kümler, I., May 2026, In: Critical Reviews in Oncology/Hematology. 221, 105225.
Research output: Contribution to journal › Review › peer-review
Level of estrogen receptor expression, histological grade, and computationally assessed stromal TILs on pre-treatment biopsies predict pathological complete response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer
Rasic, D., Stovgaard, E. I. S., Jylling, A. M. B., Hoang, T., le Fevre, T., Salgado, R., Hartman, J., Rantalainen, M. & Lænkholm, A. V., 2026, (Accepted/In press) In: Virchows Archiv.
Research output: Contribution to journal › Journal article › Research › peer-review
Validation of a deep learning-based AI model for breast cancer risk stratification in postmenopausal ER+/HER2-breast cancer patients
Pouplier, S. S., Sharma, A., Ruusuvuori, P., Hartman, J., Jensen, M.-B., Ejlertsen, B., Rantalainen, M. & Lænkholm, A.-V., Feb 2026, In: Breast . 85, 104671.
Research output: Contribution to journal › Journal article › Research › peer-review
Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer
Jahangir, C. A., Page, D. B., Broeckx, G., Gonzalez, C. A., Burke, C., Murphy, C., Reis-Filho, J. S., Ly, A., Harms, P. W., Gupta, R. R., Vieth, M., Hida, A. I., Kahila, M., Kos, Z., van Diest, P. J., Verbandt, S., Thagaard, J., Khiroya, R., Abduljabbar, K. & Acosta Haab, G. & 117 others, Acs, B., Adams, S., Almeida, J. S., Alvarado-Cabrero, I., Azmoudeh-Ardalan, F., Badve, S., Baharun, N. B., Bellolio, E. R., Bheemaraju, V., Blenman, K. R., Botinelly Mendonça Fujimoto, L., Burgues, O., Chardas, A., Cheang, M. C. U., Ciompi, F., Cooper, L. A., Coosemans, A., Corredor, G., Dantas Portela, F. L., Deman, F., Demaria, S., Dudgeon, S. N., Elghazawy, M., Fernandez-Martín, C., Fineberg, S., Fox, S. B., Giltnane, J. M., Gnjatic, S., Gonzalez-Ericsson, P. I., Grigoriadis, A., Halama, N., Hanna, M. G., Harbhajanka, A., Hart, S. N., Hartman, J., Hewitt, S., Horlings, H. M., Husain, Z., Irshad, S., Janssen, E. A., Kataoka, T. R., Kawaguchi, K., Khramtsov, A. I., Kiraz, U., Kirtani, P., Kodach, L. L., Korski, K., Akturk, G., Scott, E., Kovács, A., Laenkholm, A.-V., Lang-Schwarz, C., Larsimont, D., Lennerz, J. K., Lerousseau, M., Li, X., Madabhushi, A., Maley, S. K., Manur Narasimhamurthy, V., Marks, D. K., McDonald, E. S., Mehrotra, R., Michiels, S., Kharidehal, D., Minhas, F. U. A. A., Mittal, S., Moore, D. A., Mushtaq, S., Nighat, H., Papathomas, T., Penault-Llorca, F., Perera, R. D., Pinard, C. J., Pinto-Cardenas, J. C., Pruneri, G., Pusztai, L., Rajpoot, N. M., Rapoport, B. L., Rau, T. T., Ribeiro, J. M., Rimm, D., Vincent-Salomon, A., Saltz, J., Sayed, S., Hytopoulos, E., Mahon, S., Siziopikou, K. P., Sotiriou, C., Stenzinger, A., Sughayer, M. A., Sur, D., Symmans, F., Tanaka, S., Taxter, T., Tejpar, S., Teuwen, J., Thompson, E. A., Tramm, T., Tran, W. T., van der Laak, J., Verghese, G. E., Viale, G., Wahab, N., Walter, T., Waumans, Y., Wen, H. Y., Yang, W., Yuan, Y., Bartlett, J., Loibl, S., Denkert, C., Savas, P., Loi, S., Specht Stovgaard, E., Salgado, R., Gallagher, W. M. & Rahman, A., Mar 2024, In: The Journal of pathology. 262, 3, p. 271-288 18 p.
Research output: Contribution to journal › Review › peer-review
14 Citations (Scopus)
ONEST (Observers Needed to Evaluate Subjective Tests) Analysis of Stromal Tumour-Infiltrating Lymphocytes (sTILs) in Breast Cancer and Its Limitations
Cserni, B., Kilmartin, D., O’Loughlin, M., Andreu, X., Bagó-Horváth, Z., Bianchi, S., Chmielik, E., Figueiredo, P., Floris, G., Foschini, M. P., Kovács, A., Heikkilä, P., Kulka, J., Laenkholm, A. V., Liepniece-Karele, I., Marchiò, C., Provenzano, E., Regitnig, P., Reiner, A. & Ryška, A. & 17 others, Sapino, A., Stovgaard, E. S., Quinn, C., Zolota, V., Webber, M., Glynn, S. A., Bori, R., Csörgő, E., Oláh-Németh, O., Pancsa, T., Sejben, A., Sejben, I., Vörös, A., Zombori, T., Nyári, T., Callagy, G. & Cserni, G., Feb 2023, In: Cancers. 15, 4, 1199.
Research output: Contribution to journal › Journal article › Research › peer-review
8 Citations (Scopus)

Anne-Vibeke Lænkholm

Personal profile

External positions

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Benefit of adjuvant chemotherapy in patients with T1a-bN0, triple-negative breast cancer – A systematic review and meta-analysis

Level of estrogen receptor expression, histological grade, and computationally assessed stromal TILs on pre-treatment biopsies predict pathological complete response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer

Validation of a deep learning-based AI model for breast cancer risk stratification in postmenopausal ER+/HER2-breast cancer patients

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

ONEST (Observers Needed to Evaluate Subjective Tests) Analysis of Stromal Tumour-Infiltrating Lymphocytes (sTILs) in Breast Cancer and Its Limitations

Anne-Vibeke Lænkholm

Personal profile

External positions

Fingerprint

Collaborations and top research areas from the last five years

Research output

Benefit of adjuvant chemotherapy in patients with T1a-bN0, triple-negative breast cancer – A systematic review and meta-analysis

Level of estrogen receptor expression, histological grade, and computationally assessed stromal TILs on pre-treatment biopsies predict pathological complete response to neoadjuvant chemotherapy in ER-positive/HER2-negative breast cancer

Validation of a deep learning-based AI model for breast cancer risk stratification in postmenopausal ER+/HER2-breast cancer patients

Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer

ONEST (Observers Needed to Evaluate Subjective Tests) Analysis of Stromal Tumour-Infiltrating Lymphocytes (sTILs) in Breast Cancer and Its Limitations