import re

import re

def word_index_multiple_mmr(text):
    words = ["no", "not", "normal", "intact", "deficient", "mmr", "mismatch"]
    word_indices = {word: [] for word in words}
    current_index = 0

    for word in text.split():
        word_lower = word.lower()
        if word_lower in words:
            word_indices[word_lower].append(current_index)
        current_index += 1
        
    mmr_indices = word_indices["mmr"]
    for word, indices in word_indices.items():
        if word != "mmr":
            for i, index in enumerate(indices):
                if i < len(mmr_indices) and index < mmr_indices[i]:
                    indices[i] = -index

    return word_indices


# Example usage
text = """PMS-2 Positive Tumors displaying loss of any MMR protein are mismatch repair deficient and considered to be MSI-High (MSI-H), whereas those with intact MMR proteins are expected to be microsatellite stable (MSS) or MSI-low (MSI-L). $$ IHC shows normal expression of MLH-1, MSH-2, MSH-6, and PMS-2. $$ The results of the IC analysis suggest the presence of normal DNA mismatch $$ Positive MSH-6. Another MMR protein is also involved."""

result = word_index_multiple_mmr(text)
print(result)